Table of contents

Determining the needs of each item of a product that has many types is something that is difficult to do if done manually. If this happens it will be a problem in decision making by management. As experienced by Cileunyi Collection Store where as of October 2018 the number of goods reached 2,469 types / Stock Keeping Units. (SKU). Production staff find it difficult to analyse how much production needs of each item so influence management decision-making in determining capital decisions and storage space that must be allocated. In this study will be explained the proposed decision support system in the form software application to assist the process of grouping goods and provide recommendations for the procurement of goods based on predetermined criteria in the Cileunyi Collection Store. Two algorithmic approaches, Multiple Decision-Making Criteria (MCDM) and Fuzzy C-Mean (FCM) are used. The MCDM algorithm is used to determine the order or priority in multi-criteria analysis and the FCM algorithm is used to group with the same membership. The Main result of the research is to present that the MCDM and FCM algorithm can provide recommendations for the procurement of goods with various specified criteria. The testing results shows that both of MCDM and FCM algorithm reached 90%.

Games and simulations have become one of the most effective learning models. This study aims to implement the Depth-first Search Algorithm on 3D simulation learning models on computer assembly skills. The development framework uses Luther's multimedia development model. The object of this study was 40 vocational high school teachers in West Java. Technology acceptance model (TAM) is used as a framework to measure attitudes towards teacher acceptance of the learning model developed. The measurement results, Perceived Ease of Use (PEOU) has a significant effect on Perceived Usefulness (PU) of 68.2%, Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) have a significant effect on Attitude Towards Using Technology (ATUT) of 86.5%, Perceived Usefulness (PU) and Attitude Towards Using Technology (ATUT) significantly influence Behavioural Intention to Use (BITU) of 86.7%. Perceived Usefulness (PU) and Attitude Towards Using Technology (ATUT) significantly influence Behavioural Intention to Use (BITU) of 81.2%.

Current technological developments have had a huge impact on education, one of which is Augmented Reality technology. In this study, innovative and alternative media learning was made to understand the types of planets in the solar system. The solar system is one of the materials in natural science subjects in elementary schools. This media learning combines picture cards and virtual reality. Markers found on the card will be captured by the camera of the mobile device, processed and animated pieces will appear on the mobile screen in real-time. By using the concept of combining the real world, real images on the card and virtual, the application can stimulate imagination and a sense of desire and motivation to learn more and more. Planet estimates are made using the 3D Blender application, and the Augmented Reader process is created using Unity and Vuforia Software Development Kit. Based on the results of beta testing using the Likert scale, 86% of the 30 respondents stated that the application developed was effective as a medium for the introduction of the planet.

The ability of students to determine their chosen field of expertise is still subjective, many students choose the field of expertise because their classmates choose the field of expertise not by considering their abilities and interests. This research uses the KNN classification method to determine areas of expertise that are in accordance with student expertise. The KNN method was chosen because it is a method that uses supervised algorithms where the results of new query instances are classified based on the majority of the categories in the KNN whose purpose is to classify test data based on training data. This system was tested using the confusion matrix method and the results were 98.30% of the total student data sample of 30 people.

Measurement of wind speed and direction can be done by observation using an anemometer, but the results sometimes are not accurate. The research aims to design a prototype decision support system based on an optocoupler and magnetic sensor for wind detection that works automatically detects wind. The software development model used is the Prototype Model. This study aims to design measurement of speed and wind direction and the information produced can be used for decision support systems as a reference for determining the timing of fishing for fisherman and mapping the potential of wind energy in an area.

Excess or lack of nutrients contained in food will cause a problem in the body. To solve this problem easily, a computerized system is needed that can provide some advice on the amount and type of food that needed to be consumed. The aim of this study is to design an expert system which addresses individual diet based on calorie activities and body needs. This study uses the Prototype as a software development methodology and Data Flow Diagram (DFD) as a software model. This expert system uses a harmony search algorithm to determine the amount of food with Harris-Benedict formula to calculate the body's calorie needs. The results of functional system testing and based on the assessment of nutritionists, this expert system have been worked well for people with normal body metabolism.

Human body measurements or anthropometry are carried out, among others, to meet industrial and health needs. Products that will be used by humans need to use anthropometry to suit the people who use them. The use of anthropometry in health, among others, is used as an indicator of health as well as a person nutritional level. The measure that is widely used for the criteria for human health is weight. Based on body weight can be determined the level of health and the possibility of a disease suffered by a person. Knowledge of weight anthropometry is packaged in the form of an expert system so that it can be used for consultation by people who have health problems based on body weight. The methodology used in this design uses Expert System Development Life Cycle, as well as knowledge representation techniques use artificial intelligence production systems. The design results are dynamic software, which is able to overcome diseases based on body weight data. Disease is divided into two categories, namely diseases based on high body weight and low body weight. Expert System has been validated by an expert. The validation results describe the expert system can provide solutions that are in accordance with the knowledge provided. The resulting system can be run by lay people in the training process for 2 hours. The conclusions from this study are that expert systems are able to be applied to assist humans in introducing effective and efficient weight-based anthropometric diseases. The artificial intelligence production system provides a knowledge base, rule base, and control strategies for finding weight anthropometric solutions.

Catfish cultivation in Indonesia is a very promising business opportunity with a big profits. Every year, market demand continues to increase. However, this is contrary with the lack of catfish farmer's knowledge, so that catfish yields are not optimal. This is because, for certain types of catfish such as Sangkuriang catfish, it is easy to contract certain diseases. This study aims to create an automated system that capable of detecting catfish disease based on its symptoms with image recognition techniques. Early detection of catfish disease can help to find out the causes and prevention, so that the yield remains optimally. The method that used in this study is Principal Component Analysis (PCA) for feature extraction in images combined with K-Nearest Neighbour (KNN) with Euclidean Distance to classify catfish diseases among others: white spots, edema (abdominal swelling), jaundice, and bent spinal disease (scoliosis and lordosis). Based on the results of the experiment using 30 images data for training and 20 images data for testing, 18 image data is classified correctly. This result proves that PCA and KNN able to detect catfish disease well with percentage of accuracy around 90%.

The village is an area that has a low population density, homogeneous social interactions, works in the field of agriculture and is the lowest government body under the sub-district. The progress of a village varies, depending on its ease in exchanging resources for the lives of its people. Remote villages are villages that are difficult to exchange resources with other regions, so that growth is hampered. The presence of the internet is expected to be able to open access to information to empower disadvantaged villages, among others, by creating village websites. The website is one means of introducing villages to other regions, so that there is an exchange of products and cultures that increase the prosperity of the village. Based on this, the research aims to design a village website. The methodology used in this design uses the mechanism for designing object-oriented Unified Approach websites. This method provides two major stages, namely Object Oriented Analysis and Object Oriented Design, with the help of Unified Modelling Language (UML) modelling. The results of the study are village websites that provide information on agricultural products and processed products offered to other regions. Since this website can be accessed globally, information about the village can be spread throughout the world. Website information can be updated by village officials through training for six hours. System development can be done by providing consultation facilities between village officials and system makers. The conclusion of this study is that the village website produced can be used to provide information about the work of the village community so that it can be marketed to other regions. This website can also be integrated with school and marketplace web.

In the era of Internet of Things (IoT), various facts, news, and up-to-date information are presented online that can be accessed quickly, anytime, and anywhere. However, sometimes the news which displayed is not up-to-date or not in accordance with the interests of the reader. This study aims to build a system that can recommend the latest news, which is most often accessed, and that is in accordance with the interests of the reader. The method that used in this study is Collaborative Filtering (CF) to rank news as the best recommendation for readers. Based on the results of experiments conducted on 19 examples of news, the percentage of accuracy results of the recommendations was around 84.2% compared to the manual calculation. This shows that CF capable to provide news recommendations good enough.

Introducing traditional musical instruments to the students in the digital era needs to be facilitated by utilizing several devices, such as a computer keyboard or a laptop as music controllers. By utilizing a computer keyboard as a music controller, the students can recognize the characteristics of sounds, and play melodies from traditional musical instruments in simpler ways. Therefore, this research aims at describing the utilization of Scratch application in controlling music production through a computer keyboard. This paper uses qualitative methods with the following steps: (1) install the Scratch, (2) make the sound buttons, (3) input the sound from traditional musical instruments, and (4) set the sound buttons according to computer keyboard. The production of the music controller has resulted in teaching media used for introducing the sound of traditional musical instruments and playing a series of melodies based on the availability of tone structures in a computer keyboard. The melodies can be played in single-tone, two-tone, and/or more patterns. To conclude, the utilization of the Scratch as music controllers has potentially facilitated the introduction of traditional musical instruments in the digital era to the students. The implication is that it needs to involve technology in introducing traditional musical instruments.

Every factory based on production, always try to find the best way to get high profit from their capital that spent on production processes. The Konveksi Zom T-Shirt is a factory that produces jacket, shirt and t-shirt. This factory, use simplex method to predict composition and number of items to get maximum profits from available capital. Based on simplex method with parameters; Rp. 2.000.000 as capital, 3.000 minutes as time production, and 6 pcs as minimum productions. This method get result with composition and number of items; 15 pcs of jacket, 6 pcs of shirts, and 22 pcs of t-shirts. The profit of production uses this method can increase 3,5% of profits from conventional method. Finally, this method can be used to support on deciding composition and number of item in productions to get a maximum profit.

One of the Natural Language Processing (NLP) studies that has been widely researched is automatic text summarization. There are a lot of techniques and methods that are proposed for text summarization. However, not much attention has been given on the coherence and cohesion in text. The aim of this study is to present an idea to combine Sequential Pattern Mining (SPM) and Deep Learning (DL) for better text summarization process and result. In text summarization, it is important to produce understable and readable summary, and SPM as text representation extracting algorithm is capable to maintain the meaning of text by giving attention of the order of words appearance. Whereas DL is a popular and powerful machine learning technique widely used recently in various data mining studies. This study uses descriptive research methodology that collects all of the facts and information which are related to SPM and DL for text summarization, where NLP as the body of knowledge, SPM and DL as the method, and text summarization as the domain problem that need to be solved. The findings of the study are presented as a logical design and mapping of current text representation that can be implemented to further improve automatic text summarization results, in particular, to improve its coherence and cohesion.

The logistical assistance's distribution itself has problems in determining the shortest route which should be chosen properly. Dijkstra method can be applied in choosing the shortest route. Dijkstra method is a method that can determine the shortest route from the boarding point to the arrival point by the smallest weight, to display into a map, it needs Google Maps Api technology. It is a free service provided by google that can be accessed by a browser. This research resulted in application on logistical assistance's distribution of natural disasters by applying dijkstra method on finding the shortest route.

Many researchers have done research on information systems before; this is because of the breadth of studies or topics about IS. There is some example of a study on how to measure Information System Success by testing instrument factors. Some researchers can produce different judgments regarding the success of implementation of IS; this is because the first definition of success of each researcher is changed, the two perspectives on success assessment, the three variables used, the four implementations in different environments. Several models can be used as references to assess the success of IS, Delone and McLean are examples that are widely used as references, which use six variables in measuring IS implementation. From the model used, later there will be a gap in determining the model, and this becomes an opportunity for the development of the model as follows. The development of models to measure information system success can be done by adoption, adaptation, and combination. This is legitimately valid as long as the development of the model is accompanied by supporting theories. The purpose of this review literature is especially researchers can provide an overview of related to the method of previous researchers. Then it can be used as a framework for solving problems.

The National Examination in 2018 is no longer the only determinant of student graduation from their school, however the score of the national examination from 2015 has decreased. One of the reasons is that students found difficulties to predict the questions that probably appeared on the exam sheet. This research aimed to help students predict the questions that probably appeared, so that the average value hopefully will be increased. The prediction of the questions that probably appeared on the exam had been done by processing data of the questions used for national examinations several years ago using C4.5 Algorithm. C4.5 Algorithm is a Data Mining technique that can classify predictive questions and it is able to form a prediction of questions on the exam. The result showed that the prediction of questions that probably appeared on exams by using Algorithm C4.5 had good performance and its accuracy is 70%.

Autograder used to measure source code quality based on the reference implementation. It will compare code execution results with reference implementation like a test case and generate grade based on the comparison result. College can use Autograder to help lecturer to test student's skill in programming. Laboratory or online course can apply Autograder so students can use it to test their skill. Most of autograder use centralized architecture. It just executes and grades only one request at a time so if students submit their code to test, it will create a long queue and can risk highly to cause timeout because of a long queue and unexecuted request. In this paper, we propose to apply distributed architecture based on Service Oriented Architecture (SOA) for autograder to reduce queue and lower the risk for unexecuted requests that can cause an error in grading.

Disaster Information Management System (DIMAS) is used to reduce risk caused by disaster by manage information about the affected area by a disaster. It also manages aids, volunteers, and refugee data to measure the effect of disaster accurately. DIMAS controlled by the government and operated by admins and field officers to keep data integrity so it can be accounted for future purpose. In this paper, we propose to apply DIMAS to mobile environment because of advantages that can be utilized to simplify the usage of DIMAS like GPS integration, mobility aspect, real-time data capturing, etc. At the result, we hope it can be applied to mobile environment to help the government collect data from the community.

The existence and purpose of the mosque are vital in Islam. In the mosque, there are some activities related to religious and social life. Although mosque identically used as the centre of religious activity, although there are some potencies can be utilized from mosque such as, economy, education, social, etc. The main idea of this research is to design an electronic catalogue so people can map the information about mosque potencies. In this paper, we use Rational Unified Process (RUP) for research staging and Unified Modelling Language (UML) as a modelling tool. Result of this research is an electronic catalogue application which can provide the mapping of information about mosque potencies and activities related to mosque accurately. We hope with this electronic catalogue, people can be more aware of influences, function, and impact of the mosque to social life around it.

This research seeks to analyse the process of ICT-based Al-Qur'an phonology learning by using MTT Tahsin application. Indonesian people, whose mother tongue is not Arabic, need to learn the Al-Qur'an phonology to avoid letter sound interference in Al-Qur'an reading. The research method conducted the following stages: (1) search and download MTT Tahsin application; (2) explain the application features; (3) learn Al-Qur'an by using the application; and (4) evaluate the learning process. The subjects of this research were students with Javanese culture background, consisting of 14 male students and 9 female students of a university in Kabupaten Sumedang. The findings are: (1) MTT Tahsin application is equipped with trans-literacy feature and explanation of hijaiyyah letters characteristics, hence, it assisted the students to comprehend the pronunciation; (2) The application is equipped with makhroj (place from which the sound of a letter originates) pronunciation with all marks, hence, it assists the students to comprehend makhroj pronunciation; (3) The learning process could be done wherever and whenever; and (4) the evaluation of learning process showed that MTT Tahsin application could minimize the phonology interference in Al-Qur'an reading practices. To conclude, Al-Qur'an learning using MTT Tahsin application could improve phonology mastery for Javanese people.

Communication is difficult for people with hearing impairments due to the limitations of their hearing senses. In addition to communicating using natural cues they can also use the Indonesian Language System Dictionary (Dictionary SIBI) published by the Ministry of Education in the form of print. Dictionary Electronic sign language is starting to be used a lot, of course electronic dictionaries are more effective and flexible compared to dictionaries in general (print). A more effective electronic dictionary is used in searching for the signals sought and because they are efficient and easy to use. The methodology that used for this article are qualitative descriptive methods. The design method of sign language electronic dictionaries used some phase in Unified Process. Use case, activity, class, and ER diagram are used to design sign language electronic dictionaries. This article discusses how to design the electronic sign language dictionary application for people with hearing impairments.

Students find physics difficult, because they have to contend with different representations such as experiments, formulas and calculations, graphs, and conceptual explanation at the same time. As far as we know that physics experiments which conducted in well-equipped laboratories, improve student's science process skills. It is hard to imagine learning to do science, or learning about science, without doing laboratory or fieldwork. But many schools in various part of the world have very poor or no laboratories, so the teachers have to use their own equipment and replace the students experimental work with simple demonstration experiments. The purpose of this study was to create physics learning media for Archimedes law using simulation to cover the lack of the availability of laboratories and physics practicum tools. Rapid prototyping lifecycle model was used as a design of study. CSUQ is used to test usability of the simulation. To test the functional aspect, this study used black box testing the result of questionnaire was 88.4% with very decent criteria. Based on the development steps and test results, it can be concluded that developing a simulation requires full collaboration between IT experts and physics.

This Ruangguru application study aims to determine the relevance of application functions based on the principles and paradigms of Human and computer Interaction (HCI). In this study, the aspects evaluated included aspects of human, technology, usability, and ergonomics. The interest in studying the Ruangguru application is based on several sources stating that Ruangguru is believed to be the "Best Education Platform". So from that sentences, it was examined several aspects to determine the extent of the relationship between the Ruangguru application and HCI principle. After the study was conducted, the Ruangguru application was assessed to have fulfilled these aspects. So it's no wonder the Ruangguru application is used as an online learning centre among Indonesian students.

EFL learners tend to ignore the importance of understanding English phonetics in spite of its significance in language acquisition process. The failure of using and understanding English phonetics leads to mispronunciation issues which in turn impede both oral and written communication. Concerned with this issue, the research developed the use of augmented reality (AR) technology to facilitate English phonetics learning processes. The technology combined virtual objects and video clips in more attractive and interactive learning environment. This study described the steps and procedures of developing augmented reality as English Phonetic learning media and disclosed how the students utilized this media in their learning processes.

This study simulates shallow water waves using the Navier-Stokes equation. This simulation uses the MatLab application, especially Quickersim with 2-dimensional output. Mesh in simulation is made using Gmsh. Research about shallow water has an essential role in studying the characteristics of ocean waves. The depth of the sea influences this characteristic. Data obtained from this simulation is in the wave height and velocity positions at any time. The limitations in the data collected are not comparable with the experimental results because there are no experimental Navier-Stokes simulations, but these simulation results have shown the phenomenon of seawater movement. In future work, the results of this study can be used to analyse its application in tsunami waves.

Granular particles have applications in various fields, one of which is the beauty industry. One crucial part of this industry is the character of powder-size interactions with skin-faces. The simulation of granular particles with a porous surface can model this interaction. The purpose of our simulation to visualize the process of granular attachment on a horizontal porous surface. This simulation is 3-dimensional visualization using unified particle physics solver method in uFlex assets on unity software. We generate the pores to three sizes. Each order is tested using five particle sizes. The results showed that the porous hole diameter and the granular restitution coefficient influenced the particles entering the porous surface system. In summary, the number of grains entering the pore is proportional to the diameter, but not linear.

Medical record (MedRec) of the patient is derived from several healthcare providers i.e. hospital, the national provider, and laboratories which contains personally identifiable information test yet referred to therapeutic procedures and medications of the patient. MedRec has been compiled and maintained by several providers thus resulting in separated and disseminated the data among the parties. Mostly, the MedRecs are stored in provider's database and the patients have no control to manage and access their data. Hence, in this paper, we propose a conceptual model for managing the data of medical record using blockchain technology in the peer-to-peer network with several protocols are embedded in the system. The proposed model aims to facilitate the patients in order to manage their data from various providers into a single view. Blockchain offers the promise of an immutable, single source of truth from multiple sources and facilitates a trust as well as validates an identity without the third-party involvement.

The School Location Information Application is an application developed to produce various information and it can be seen and distributed in order to support school tracking and their locations. School Location Information Application is done by collecting data analysis, design, and implementation stages. This application is made by Android base for clients using Java programming language and the server base on web to process data using HTML and PHP accompanied by SQL as the database manager. However, The Haversine Formula method is used to determine distance between user's location and school location that they want. The result of this application development is expected to be able to solve some problems related to the school tracking and to support the users to easily find the closest school with available information.

Nowadays, online transportation is one of the transportation that is increasingly preferred by people. It becomes important because people need transportation to be more effective and efficient. However, sentiment analysis is necessary to improve the quality of services on online transportation. Sentiment analysis includes the process of extracting opinions, sentiments, evaluations, and emotions of people about online transportation services on Twitter social media. To get more accuracy in classification, the opinion is taken in large amounts and classify into positive and negative class. There are several steps that use sentiment analysis. Data collection, pre-processing data, POS Tagging, and opinion classification use the Naive Bayes Classifier method, compared to the accuracy of the K-Nearest Neighbours method. The results of the comparison of Naive Bayes Classifier and K-Nearest Neighbours algorithms use 565 data tweets from Twitter, divided 500 trained data, and 65 test data. The result showed that the Naive Bayes Classifier algorithm had achieved the accuracy rate of 66.15%, and K-Nearest Neighbours algorithm produces the accuracy rate of 67.69%. From the results, the K-Nearest Neighbours algorithm perform better accuracy in sentiment classification than Naive Bayes Classifier.

The Big Five is one of the methods known in the world of psychology to interpret persons personality, especially to find a relationship between personality and work environment. The Big Five consists of openness (O), conscientiousness (C), extraversion (E), agreeableness (A), and neuroticism (N). This study aims to predict the level of agreeableness in the classification of The Big Five. The method used in detecting this level of agreeableness is using the Certainty Factor and Naive Bayes algorithms. The results obtained in a comparison of the level of accuracy in personality prediction, the Certainty Factor algorithm get results of 80% and Naive Bayes get 90%. From these results it can be concluded that the Naive Bayes algorithm is better at predicting personality.

The creativity of an online store owner who develops a business in a retail business in determining a marketing strategy will affect his competitive ability with other online stores. However, services that are in accordance with costumers attitude is a stuff that should be awarded by shop owners in order to improve not only customer satisfaction but also store income. The method used in this study is Market Basket Analysis to know customers attitude by analysing data from sales transactions to show customers attitude toward one sold item and the others. Research aimed that it is necessary to have a system that can help to form a combination among products using the association rule method, the algorithm used to analyse this method is apriori and fp-growth algorithm. Result from data analysis test using monthly sales transaction data of cosmetics in Breiliant Store during November 2018 with 34 number of data sales transaction. It could be concluded that a combination of products which have strong support and confidence were Original Liquid Bleaching Seeds, Harva Peeling Gel and Castor oil. It had support value of 8.8% and 30% confidence value, with a filtering time of 0.036 seconds.

Augmented reality is an interactive digital media where objects in real-world environment is visualized through a computer-generated image. This research aims at developing an application to visualize abstract historical objects into more concrete objects so that it can be used as an instructional media. The development was done using Web Aurasma Based Studio and Reveal Mobile in six stages including concept, design, material collecting, assembly, testing and distribution. The results showed that the developed augmented reality application was highly effective in visualizing historical facts so as to motivate students in studying historical facts in a more real and concrete way.

Multiple intelligence is intelligence possessed by every human being, among these intelligences are linguistic intelligence, musical intelligence, naturalist intelligence, visual-spatial intelligence, logic-mathematical intelligence, interpersonal intelligence, intrapersonal intelligence, and kinesthesis intelligence. Various methods are carried out by researchers to find out intelligence such as through numbers, images, music, words, physical and social-emotional activities. The purpose of this study is to decide and classify student intelligence based on multiple intelligence. The method used is Weighted Product (WP), Analytic Hierarchy Process (AHP) Simple Additive Weighting Method (SAW), ELimination Et Choix TRADITIONAL REAL (ELECTRE), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The four methods are a method that is in MADM and there have been many studies related to that method but no one has examined the determination of multiple intelligence related to these four methods. The results of the Weighted Product method calculation have the highest preference value 0.189261912 namely Verbal-Linguistic Intelligence, Analytical Hierarchy Process Method has the highest preference value 0.294117647 Verbal-Linguistic Intelligence, Simple Additive Weighting method has the highest preference value 0.677316667 verbal-Linguistic Intelligence and Technique for Order Preference by Similarity to Ideal Solution method has the highest value 0.679314281 Verbal-Linguistic Intelligence.

Social media like Twitter used as a reference for popular and trusted news today. This opportunity could be useful manner to inform the natural disasters that occur in certain condition related to their locations. This study aims to proposed model to select the topic related to the natural disasters that occur in Indonesia based on Twitter user timeline. The selected topic will use as a reference to ascertain events, conditions of victims, and position of disaster locations. In this study, the data taken from the official Twitter account of @BNPB_Indonesia. The data extracted into two main classes, and grouped based on types of disasters, victims, and disaster locations or safe point position using decision tree algorithm.

The governance of information security in the Indonesian Government has not been completely improved. Many related variables components are not measured. This study aims to observe an evaluation for application of information security index framework in Indonesian government institutions as the implementation of electronic government. The analysis is carried out by adopting an information security index framework produced in the rank of e-government. The study uses a triangulation approach within a mixed method. This study results in a novel adoption model of information security index framework equipped by two new variables. Therefore, a proper policy of the Indonesian government is required for its implementation.

The coin recognition system is a very important role in currency processing systems which is aims to minimize human miscalculation and time to calculate coin values. The coin identifier and recognition to calculate the value of Indonesian coins based on android developer presented in this paper. The two coin parameters are used for coin recognition which are radius and colour of the coins. The Circle Hough Transform (CHT) method with gray scaling and erosion process as pre-processing image used to calculate radius parameters, based on android developer and computer vision. After the radius value is obtained then the average RGB value of the coins is detected to determine the colour parameters. By calculating the diameter and determining the colour, the coins can be recognized and the total value of the coins in the input image can be known. The experimental results show that the system has been obtained indicate that the system successfully recognized coins based on determined algorithm. That is mean the application using computer vision can recognition coin and count the value of coins.

The use of Fuzzy logic in the forecasting process, problem analysis, and decision making of the process is often used. The development of this fuzzy logic by widening the foot of the membership function as interval fuzzy type 2, fuzzy signature or carried out a hybrid between fuzzy logic and other artificial intelligence systems or a hybrid algorithm has also got quite good results. At this time, a multilevel fuzzy logic method is proposed. This multilevel Fuzzy Logic is interesting behind the input of a process in fuzzy logic, which is the output of the previous fuzzy logic or the output of a fuzzy logic analysis is input into the next stage of fuzzy logic. This multilevel fuzzy logic can be done up to several levels of depth according to the variables to be analysed. If the final analysis has the equation X(i) + Y(i) = Z(i), then the value of X (i) can be the result of A(i-1), where A(i-1) is the result of the Fuzzy Logic B(i-1) + C(i-1). by performing multilevel fuzzy logic is expected to have the value of forecasting errors or problem analysis and decision making better and more precise.

Maternal and Child Health Service is a health service that makes it easier for the public to monitor the growth and development of infants and toddlers. The people who get this health service are infants less than one year old and toddlers aged 1 to 5 years. Maternal and Child Health Service in the community, especially in rural areas, the medical equipment used is still inadequate, for example to weigh infants and toddlers, maternal and child health official use scales commonly used to weigh rice. Periodically babies and toddlers are weighed by medical personnel, and the results are then recorded in the maternal and child book. In some cases, the registration process is still not efficient, because the possibility of the book being lost. The aim of this research is to design and develop a Posyandu Information System Application as an early warning system for Maternal and Child Health. In this research, first coding from four sensors used are heart rate sensor, weight sensor, temperature sensor and ultrasonic sensor. In the microcontroller, the Artificial Neural Network artificial intelligence method is embedded to learn from inputs to classify decisions / action information from the sensor medical record results. Medical record data and learning outcomes from Artificial Neural Network (ANN) Algorithm will be sent using Internet of Things modules on the server so that they can be accessed by the application server both web and mobile. Visualization of medical record data and the results of the health conditions of infants and toddlers recapitulated on the cohort book periodically and form of cohort graphical report. With the early warning system in the form of a Posyandu Information System Application it is expected that pregnant women or toddlers who have health problems can immediately obtain information as early as possible.

Micro-expression recognition is one of the popular researches in analysing expressions on the face. Micro-expression is a facial movement that occurs in a short time and is difficult to identify manually by human eyes. In general research, facial landmarks are used to form a large size ROI for each facial feature for the feature extraction process. In this study, we track the subtle motions of micro expressions by using point features. This approach aims to get feature extraction from tracking results and then analyse micro-expression. We compared the Active Shape Model and Response Map Fitting methods to produce accurate points and fast time on facial features. To measure the subtle motion tracking of facial features in each frame tracking is done using the Kanade-Lucas-Tomasi method. To estimate the rationality of our method, we conducted an experiment on CASME II and SAMM dataset for micro-expressions. The results show that the points on DRMF are more accurate with point-to-point error is 7.9 and the time taken is faster which requires time is 0.02 second. We evaluated the method proposed for evaluation showed that using CASME II - Naive Bayes (79.3%) and SAMM - Naive Bayes (74.6%).

Nowadays, machine translation has important role in general communication. The need for machine translation system is higher in this era, resolving culture and nation boundary. Finding correct and optimal translation is not an easy task in language processing. Several machine translation system already exists, but the quality of the translation needed to be improved further. This paper discusses machine translation researches that involve Indonesian language to the other languages by systematic literature review. This paper exposes different approaches and tools for machine translation. The approaches also use various evaluation methods to measure the performance. Moreover, this paper proposes several future works to improve the machine translation quality of Indonesian to the other languages. The review results show that the attention-based approach is being increasingly used to improve the performance of neural machine translation. The translation performance quality depends on the number of the corpus, well-behaved aligned corpus, and the technique used.

The development of applications on smartphone devices might be potential to help in improving teaching and learning process. This research addresses IT-infrastructure and readiness in integration of mobile learning and project based learning (PjBL) for vocational education. The research data were collected by questionnaires from 100 students of the tenth grade of a computer and network engineering program of the vocational school. The results show that the IT-device owned by the school has been qualified for implementing mobile learning and project based learning (PjBL). The research also found that the students are ready to participate actively in learning process by using proposed model that will be carried out by online, so that teachers can implement learning scenarios by using the online system. The mobile application is accessed by using IT- devices such as smartphones, netbooks, personal computers through internet/intranet network media by data sources of various digital documents learning in documents files, pdfs, videos, presentations and images stored in the cloud suitable the syntax project based learning based on basic competencies.

Access to quality education in the era of ICT technology is growing rapidly, by utilizing this technology ideally it is not a problem, thus the presence of technology can be a problem solver that occurs such as inequality of quality educational material and access to the intended materials, this is certainly a dream all parties because, in reality, all this is not easy. The biggest challenge in equalizing the quality of education is experienced by almost all countries in the world, especially countries with large territories and populations. Inequalities and gaps in differences and equal access to quality education material occur in almost every country in the world. Distance learning can be carried out easily by utilizing ICT infrastructure. Almost every country in the world strives to provide open wide access through the use of web-based applications to facilitate and facilitate the population of the needs of teaching materials according to the population. This article will discuss, analyse and explore the comparison of the accessibility of the Open Educational Resources (OER) repository in developed countries with developing countries.

The injector spring in cylinder #2 of a diesel engine in Ampenan PLTD which is operated by PT. X damaged. After visual inspection, a helical spring of the injector was broken. The spring broke in the lower part, in winding 2 of the spring. Before the damage was known, with a diesel load of 1100 kW, the exhaust manifold the cylinder #2 was glowing. Root cause analysis of the broken spiral spring was carried out by visual observation, metallography, and maintenance management analysis. Results indicated that the damaged of the broken injector spring based on visual observation of the helical spring was due to alternating bending loads. The fracture angle was at 45⁰ indicated a bending load. Benchmark shows the beginning of the fault, followed by a static fracture. Metallographic and microstructure examination results found too many sulphides possibly making the formation of the onset of the fatigue. To minimize the damage, the sulphide amount of the spring must be reduced, and the spring injector material must be redesigned. Maintenance management must check every time the new spring is received and the cam lobe dimensions and wear of the roller must be lifted every 1000 hours.

Information and Communications technology (ICT) has been widely applied in digital library services to improve the knowledge and the public interest. Researchers can easily obtain the information of interest through internet surfing. Digital libraries seek to provide prospective readership with alternative materials for reading. They also preserve the culture, customs that could be learnt by future generations. The utilization of digital libraries as learning resources include educational and community aspects. The purpose of this paper was to review and analyse the impact of a digital library system in education on potential readership.

Augmented reality is a technology that offers the ability to combine the virtual content with the real world. Augmented reality is divided into two, which is desktop based and mobile (android) can be used as a media in learning. The presence of augmented reality is a solution for abstract and complex learning. We are collected several journals related to augmented reality from a variety of sources, and acquired as many as 57 articles in the span of eight years between 2010 and 2018, and 28 of them in accordance with this research topic. We found a variety of research methods used to obtain the data for the implementation of augmented reality as a learning media, methods used include observation, questionnaires, surveys, pre-test and post-test, interview, video recording, and documentation. The resulting impact also varied, ranging from student motivation, student performance, student understanding, and the effectiveness of learning.

Traditional cuisine is being forgotten particularly by young generation. One of the biggest triggers is the rapid distribution of information on modern food such as junk or fast food supported by the fast development of digital technology. In addition, low knowledge and awareness of traditional food, especially among teenagers, also contribute to this phenomenon. In Indonesia, one of the areas well known with its traditional cuisine in West Java province, which is dominated by Sundanese food. The purpose of this study was to find out the perception and acceptance level of teenagers towards a web-based application namely Digipedia Edu-Makugiz consisting of Sundanese traditional food and beverages as nutrition learning media for teenagers. There were 55 teenagers from Bandung, Indonesia, aged between 12 to 21 years old having smartphones and access to the internet selected to be the subjects of this study. The data comprised subject characteristics (age and gender), their perception, and their use of the application which had been published on the domain www.digipedia-edumakugiz.id. The data were analyzed using Microsoft Excel and SPSS 22 program and interpretation of the perception and acceptance level of the application. Based on the data analysis, this study found that most of the respondents found it quite easy to operate the application. This led to their interest to further use the application based on their specific needs. In relation to the development of the application, there was an additional feature of language (bilingual) as a strategy to attract more users. It was also proven that development on contents and attributes of the application made the application even more interesting for teenagers to find more information on West Java traditional food and beverages.

This study aimed at designing Virtual Reading Room (VRR Digi_Litikon) for learning batik in Vocational High Schools in Indonesia. The design was also a part of curriculum material improvement with the touch of information technology. As a web-based application, VRR Digi_Litikon saved all the contents and database on its server. It was also proven that it had frontend as its user interface. The user interface was also PHP-based with Code Igniter framework. The application was designed using Software Development Life Cycle (SDLC) method consisting of such phases as system engineering, analysis, design, coding/implementation, testing, and maintenance. The results of the application design were digital books equipped with scientific journal articles in relation to batik. The digital platforms designed for VRR Digi_Litikon enabled students to have information not only in a form of texts but also in audio/voices of the contents of a book they were learning. The application was tested in various devices and had been proven to be eligible to use as a learning media application particularly for learning batik in vocational high schools.

The purpose of this study is to analyse the Executive Information System (EIS) that suit the needs of the executive level in higher education. The FAST method used to achieve the goal. This study focuses on the analysis phase in Manado state university, Indonesia. The final result of this study is an EIS process model that will use for designing a web-based application that providing flexible facilities for executive (Rector) in accessing external and internal information that is useful to identify problems in internal decision making.

The limited numbers of gallery buildings that display art works become an inhibitor in art appreciation learning. On the other hand, the development of digital-based media has not been widely used as an art learning media. This study aims to analyse the development of art students in studying the painting by using the virtual gallery as a learning media based on digital technology. The research design employed the following steps: (1) designing & preparing virtual gallery; (2) inputting some art works as a learning resources; (3) implementing virtual gallery for painting appreciation learning; and (4) evaluating the learning process. The research subjects were 20 students in the art department who were studying painting appreciation. The results showed that students' ability in appreciating painting artwork had increased using virtual gallery as a digital-technology-based media. The improvement includes students' ability in(a) knowing, (b) understanding, (c) analysing, and (d) assessing the artwork. Therefore, it can be concluded that media learning based on technology can simplify art learning, especially in painting appreciation processes.

Academic stress is one of the negative emotional levels that can affect students' physical, psychological, and academic health. Thus, there needs to be an assessment media that utilizes technological developments but can still evaluate academic stress levels effectively and efficiently. The purpose of this study was to develop an android-based assessment media (Stress Meter) that is able to measure students' academic stress levels. This study used research and development methods. Data obtained were analyzed descriptively using Delphi technique for media acceptance test, and also Exploratory Factor Analysis test and Cronbach Alpha to test the validity and reliability of the instrument. The results of this study indicate that prototype of Stress Meter application has met the acceptability criteria and the instrument in it has passed the validity and reliability test. In conclusion, the prototype of Stress Meter application can be used by students as a media self-assessment and facilitate the performance of counselors in identifying the level of academic stress that students have.

This study aims to develop an animated media camera angle based on the functions of the interior and exterior parts of a flash-based camera. This study used the Engineering Design Process method which consists of ask, imagine, plan, create, improve. The data of this study were obtained from 8 Multimedia validators and random 36 students from any Vocational High School. Validation results show that the developed media gets a percentage of 87.5%, the results are included in the very valid category. The average post-test of the experimental class was 81.81. Finally, it can be concluded that this learning media can be submitted as a media reference for students to learn about the camera's function of interior and exterior.

Long queues during student pick-up are a major problem in some elementary schools and kindergartens. Sometimes parents don't find their children in school because they may be buying food, being in class or playing in a large school area, so their parents have to wait for a long time for their children to go out to the gate. Conversely, sometimes parents are late in picking up their children, which causes the school to keep students from leaving school without the permission of the teacher or officer, and they also have to ensure that all students have returned to their homes. Parents' complaints about this pick-up problem are a serious concern for the school. Moreover, the news of the kidnapping of children aged 4-12 years (the crime of trafficking) will worry all parties. This study aims to design integrated applications by utilizing RFID, Microcontroller, Socket TCP, Text to Speech, Client Server and Database as a student pickup model by parents as registered RFID cardholders. Based on the identification of the parent RFID card that is read by the RFID reader sensor and matched with the data in the database, then the application will automatically call the name of the student according to his RFID through the technique of text to the speech voice synthesizer. The method of developing applications using Waterfall. The results of implementing this application system show that the performance accuracy of 90% can be used properly.

In Society 5.0, financial capital is no longer the key, but data that are interconnected with each other. The Internet of things will be a new normal, dedicated to unlocking human potentials. The purpose of this study is to analyze the feasibilities and challenges of the implementation of fintech in small and medium industries. To this end, a survey was conducted on a sample of 60 small and medium industries. It was revealed that the implementation of fintech in small and medium industries did not seem ready to be achieved due to the limitations in technology infrastructure, data and information, human resources and policy. Therefore, improvement to these factors should be made to realize the human-centered and technology-based society.

With the advancement of computer virtualization technology, the use of cloud computing technology began to be scrutinized by researchers. With the existence of cloud computing technology can make computer virtualization on a server that is running. This can save the cost of providing information technology and operational infrastructure independently for each service that will be served. With this technology one physical machine is made into a shared resource that can be shared and used by several services at once. In this study made 4 servers using SLIMS7, digital libraries are virtual machines implemented in cloud computing servers with Proxmox servers. Database server digital library integration uses Service Oriented Architecture (SOA), by connecting to 4 virtual machine servers. Integration is carried out on the book data search system by entering keywords as book data searches that exist in each digital library server, with the results of displaying all book data on each digital library server according to the keywords. The conclusions of this study obtained after testing the system include the acquisition of a new model in the use of Service Oriented Architecture (SOA) to integrate the search for data books that exist in 4 digital library servers.

Ubiquitous computing to estimate the location of objects in a building raises a fundamental challenge and there has been a lot of research on localization in buildings based on signal strength by utilizing devices inside such as Wi-Fi signals. Positioning objects using algorithms of received signal strength in this paper using Linear Support Vector Machine which will be compared with Naïve Bayes. Experiments carried out using 14480 datasets and 302 classes were collected from the real world environment and the results showed that the system reached the correct classification level of around 88% and a minimum distance of error of 4.61 meters compared to Naïve Bayes for the correct classification level of around 67 % and average error distance of 6.21 meters.

Since its establishment in 2009, the Faculty of Medicine and Health Sciences, University of Warmadewa has implemented a competency-based curriculum, in which teaching materials are grouped into block based on systems or themes. By this way, learning is expected to be more meaningful because clinical sciences can be introduced to student earlier. The study design was cross-sectional analytic where all students of the years 2016 and 2017 who underwent block 1.6 (Nervous System and Special Senses) were involved. From the present study we concluded that E-learning in combination with conventional learning method (blended learning) increased student achievement in final students assessment of the block Nervous System and Special Senses, hence E-learning can be applied as a supporting tool for conventional learning method.

Mobile learning is a technological innovation that packs teaching material so it can be accessed any time with interesting material visualization. The use of interactive learning media has a major contribution to changes in the process of delivering information. This study aimed to represent the contribution of mobile learning in improving the understanding of the generic structure of the news item texts. The research method used in this study was the quasi-experimental method with Non-equivalent Control Group design. Questionnaire data collection techniques and tests were used to determine the effectiveness of Mobile Learning in improving the respondents' skills to understand the generic structure of the news item texts. The increased understanding of the text could be known by analysing and classifying respondents' understanding of the main events, the context of the event, and the sources of information contained in news item texts. The results of the study showed that the use of mobile learning was effective in conveying information so as to increase the understanding of respondents in understanding the generic structure of the news item texts. In the digitalization era, mobile learning can be used as a medium to convey knowledge and information in both formal and informal ways.

The development of technology in upholding any discipline of knowledge has been widely extended, particularly in linguistic study. One of the advancements is a language clustering software, functioning to analyse any linguistic data through the sorting procedure, namely Monoconc. Due to its significance, this study is aimed at expounding the practicality and feasibility of this software. To achieve this aim, both qualitative and quantitative research approaches were employed. As results, Monoconc software is recommended to utilize in analysing linguistic corpora. The simplicity, as well as the viability, are the main roots of proposing this concordance software as an alternative to applying.

The industrial revolution 4.0 demands universities to improve the quality of the graduates, while the competency standards have not yet been fully achieved. This study aims to build a virtual laboratory (V-Lab) as an independent practicum media through remedial learning. The development of V-Lab used the System Development Life Cycle (SDLC) model with the software Code Codeigniter and PHP 7.2, while the database used MySQL and PostgreSQL. The testing was done with Stub Testing, Unit Testing and inspection with Integration Testing for interactions between modules. The test results showed high feasibility in design, representation of user needs, reliability, security system, and the ease of the usage. The V-Lab is also able to increase the learning motivation of the students and have an impact on increasing student learning outcomes. While efficiency can be improved on the aspects of time flexibility, place of learning, facilities and cost savings because the learning is virtual. This study recommends V-Lab as an effective and efficient remedial learning through a virtual laboratory.

In this paper, a sound matching application was built on the pronunciation of Ayat Al-Quran as a learning medium for children using the Fast Fourier Transform (FFT) Algorithm and Divide Conquer (DC) that support learning independently. The system built in the final project is to utilize the Google API feature on android as voice matching. Furthermore, the incoming sound will convert into text form using the Google API. The conversion method used is a Fast Fourier Transform (FFT). The valuation method, Divide Conquer is used by calculating the sound proximity value of the Google API conversion results by matching Arabic text in the database. Based on the testing that has been done on the system testing. The results of the test found 61.1% accuracy for the appropriate reading and 38.9% for inappropriate reading.

Corn plants has an important role in compliance national and international food needs after rice and wheat. According to Ir. Pending Dadih Permana, Director General of Food Infrastructure and Facilities (PSP) of the Ministry of Agriculture, East Java is one of province that the biggest corn producers in Indonesia. But it still cannot supply the increasing market needs in Indonesia. Therefore, it requires a grouping corn plants based on productivity, production, and area of land in East Java in order to increase level of procurement of corn plants in East Java. In process of grouping, it use K-Medoids algorithm. K-Medoids algorithm as known as Partitioning Around Medoids (PAM), which is variants of K-Means method. This is based on the use of medoids, not from observation of mean that owned by each cluster, with purpose reduce the sensitivity of partitions due to the extreme values in the dataset. This algorithm is an algorithm that can produce data that is not sensitive to outliers because one of object with some big value. These deviations can occur from data distribution. Based on the result of grouping corn plants based on productivity, production, and area of land which has been done, there are 3 clusters with at most 21 members, and at least 8 members. From this research, it can concluded that K-Medoids algorithm can help determine potential of the location of corn producing plants in East Java.

Currently the trend of using Virtual Augmented Reality (VAR) technology in the field of vocational studies has become a very sexy research topic with visual features that can display objects in 3D, Virtual Augmented Reality can help many things, especially in creating innovation in various industries. In this literature study, the advantages and disadvantages of VAR are clearly described in terms of developing a three-dimensional virtual laboratory for innovation in learning vocational techniques. Unfortunately, some technical problems of VAR technology cannot be fully implemented into vocational engineering learning. The purpose of this study is to show a study of the application of VAR technology with a literature review system method in an appropriate three-dimensional virtual laboratory framework. This analysis is carried out by screening a number of publications of up to 30 major studies published from 2009 to 2018. The results show the low application of VAR technology in education and the increasing application of VAR in industrial environments that lead to high complexity for selecting and developing vocational engineering learning with the VAR system. Subsequent research was also proposed to design and implement AR technology integration into a virtual three-dimensional laboratory specifically for vocational engineering.

Analysis of the use of SPOT in the process of learning in the Universitas Pendidikan Indonesia is very important, so that it can be known to what extent the use of SPOT can be used as self-directed learning for Students at the Universitas Pendidikan Indonesia, especially in Culinary of Education Study Program. In this study, data was collected from 61 student respondents in the Culinary of Education Study Program 2016 at the Universitas Pendidikan Indonesia using SPOT. The variables studied were the documentation process on SPOT, SPOT operation, and SPOT accessibility. The research instrument used in this study was a questionnaire. The results of data analysis can be explained that the use of SPOT as an application in the learning process is said to be very feasible seen from the results of processing observational data as much as 91.3%. The results of the observation data processing as much as 88.3% have been very feasible to operate the SPOT application used in the learning process. The feasibility of the results of the accessibility test on the use of SPOT by analysing the results of observations on students 80% is very feasible for the accessibility of the SPOT application used in the learning process. Utilization of SPOT as the implementation of ICT and learning tools can provide motivation to the students, because the range is in a very broad SPOT. Interaction between teacher and students can take place anytime and anywhere, not limited by time. In addition to the teacher and students can monitor the progress of the learning process that lasted one semester. However, this study requires special skills of teacher and students because they are required to master a variety of applications associated with the Internet.

The impressed current cathodic protection is one of the effort to prevent a metal from corrosion by supplying electricity to metal objects. However, the protection system that supplies electricity must always be monitored so that the electricity intake to the metal object is sufficient to protect it from the corrosion. The way how to monitor the electricity intake to the metal is to read the current in taking on the metal. To read the electric current more easily is to use an application software. This research talks about the application design to display the electric current in taking on the metal through the computer screen. In order to read the electric current directly, the Advantect Data Acquisition Modul (ADAM) devices are used. The results show that the application is able to display the value of protection current for iron plate steel with size 30x10 cm are between 0.15 A to 0.18 A while for iron plate with a size of 30x13 cm are between 0.20 to 0.24 A. These values also avoid the over protection.

The concept of mathematical applications in engineering is still difficult for students to understand because besides they have to understand the technical concepts; they also be able to associate it with the mathematical concepts. One aspect that needs more understanding of this concept is how to visualize the technical concepts so that mathematical rules can be modelled. Therefore, the purpose of this research is to develop multimedia animation for the concept of mathematical applications in the field of engineering. The method used in this study is analysing the development needs of multimedia, both in software and hardware, the material of mathematical application that used in engineering, design, development, and testing. The results of the study show that multimedia animation in the application concept of mathematical in engineering is able to explain abstract concepts from mathematical concepts in engineering. The results of testing from media and material experts show that this animation multimedia is considered feasible to use.

This study aims to examine the single pole detection algorithm using a confusion matrix model which is a specific table that makes it easy to visualize the performance of an algorithm. The algorithm tested is the YuRHoS pole detection algorithm, a new algorithm developed by researchers to detect pole objects with not poles. Methods used is by calculating three aspects of algorithm performance in machine learning, namely sensitivity, specificity, and accuracy. The value of the three aspects of performance depends on four variables, namely true positive, true negative, false positive and false negative. The calculation process is done by matching the pixel detection region with the ground-truth region. The test results for 4 (four) different single pole images found that the YuRHoS pole detection algorithm is better than other algorithms on two measurement aspects, namely specificity, and accuracy. Excellence aspects of specificity obtained because of its ability in detecting the object instead of a pole. Excellence aspects of accuracy indicated because more accurate in detecting a pole. As for sensitivity aspects, both the detection algorithms are having the same reliability in correctly predicting a pole.

Energy conservation, especially electricity, can be done by conducting an energy audit. Energy audit activities can analyse and find energy-saving opportunities from energy use. This study developed a prototype of a wireless electrical energy monitoring system on a laboratory scale to monitor the use of electrical energy from both electrical equipment using a microcontroller as a sensor node. These nodes have installed several sensors, namely the current sensor, humidity sensor, temperature sensor and light sensor. The protocol used in communication between nodes and servers is the HTTP protocol in the Internet of Things design that can communicate using internet network intermediaries. Data on the server can be monitored in real time using the application on the client side.

SIP-Eval uses the concept of a decision support system and is developed with a SDLC model by designing using UML. SIP-Eval uses three tests that is assessment testing, usability testing and user accepted testing. Testing do to determine the quality of the item's product by SIP-Eval and to know the usefulness of the SIP-Eval and to know SIP-Eval can function property. The test results conducted at Vocational High School 7 Jakarta and Vocational High School 26 Jakarta involving 3 Server Administration subject teachers and 27 students of the Computer Network Engineering expertise program show that SIP-Eval has a good ability in assisting users in completing the evaluation of learning outcomes process and can function very well for educators and students in the implementation evaluation of learning outcomes in schools with 73.75% obtained in usability testing and 94.70% in UAT testing. SIP-Eval produces 40 items that are declared valid. Difficulty analysis states that 5 items are too difficult, 34 items are moderate and 1 item is too easy. Differentiating power analysis states that 2 items have a very good, 19 items have well, 7 items are good enough for their power, 3items are not good for their power and 9 items are not very good at their power. Test equipment (assessment) used in the test subjects of server administration class XI even semester has a very high reliability scale with reliability test results obtained at 0.896.

This study aims to determine the effect of the question preparation training using Moodle on teacher performance in preparing test items in high school. This study uses the survey method (field study) using the correlational approach. Methods of data collection using questionnaires and documentation. Based on the results of testing the data that has been done, it was found that the hypothesis testing obtained a decision that there was a positive and significant relationship between the Training of Question Making and Teacher Performance in Developing Test Questions in High School. Calculation of data normality test, obtained results for instrument data on teacher performance with Lcount = 0.138 and training instrument data preparation for Lcount = 0.141 with Ltable = 0.146. That is, data from both instruments are normally distributed. As for the results of testing the hypothesis obtained a value of 0.735. That is, the correlation between the x variable and the y variable is strong. These data indicate that there is a positive relationship between the training of question making using Moodle and teacher performance in compiling test questions in high school.

This study synthesizes the findings of a study of the trend of digitalization of the education world in the face of the industrial revolution 4.0. The researched journal starts from 2015 to 2019. This paper focuses on the challenges and opportunities of industry 4.0, the development of industry 4.0 is characterized by the development of big data and artificial intelligence. Skills needed in this era or called big data and artificial intelligence, including advanced analytics, Internet of Things, and digital security. All fields of both education and industry in the world will be affected by the development of industrial revolution 4.0, a new pattern when disruptive technology is present so quickly that all circles especially education must be able to immediately adjust to industrial development 4.0. Therefore, the world of education and industry must be able to develop industrial transformation strategies by considering the human resources sector that has competence in their field. This is a challenge for the world of education in preparing the quality of human resources in order to adapt to industry 4.0. From several studies that have been carried out the trend of digitalization in the world of education as one of the dominant solutions carried out in the face of the industrial revolution 4.0, this is in line with the new pattern found in industry 4.0 namely disruptive technology.

The purpose of this research are two-fold, first to analyse correlation of underwriter, auditor, profitability and company size on stock underprizing and second, also to know the student learning outcomes through the implementation of ICT based learning in the subjects of stock underprizing. The method used is quantitative research, the follow up data analysis used is multiple regression. The results showed that the three independent variables consisting of underwriter reputation (X1), auditor reputation (X2) and profitability (X3) had a negative effect and only company size (X4) had a positive effect towards the dependent variable namely stock underprizing (Y) with the regression equation Y = 29.760 – 10.011X1 – 11.812X2 – 0.512X3 + 0.366X4 + e and sig value X1 = 0.040, X2 = 0.103, X3 = 0.088 and X4 = 0.750. Thus, its mean that only underwriter has influence toward stock underprizing and a good performance of underwriter can decrease the stock underprizing. This research is Classroom Action Research (CAR) was conducted in two cycles of learning with the stages in each cycle includes planning, action, observation and evaluation, and reflection. Student response data collected through questionnaires/questionnaires. Collected data was then analysed descriptively. The results showed average student learning outcomes before the action amounted to 68.81, after the first and second cycle outcomes increased to 88.70 and 88.00.

Palm oil Plantation Company as a business entity that aims to gain profits, in addition to pay attention to the principles of accountability as the application of Good Corporate Governance (GCG), also has the responsibility to implementation CSR in its operations based on applicable regulations. So it is interesting to conduct a study of the impact between company compliance with the rules, the application of accountability principles and the implementation of CSR to the company's profits. This research type is normative research, and the data used for this research are some legislations, documents and books related to this research. The result of this research revealed that The palm oil plantation company as a corporate entity has responsibility in implementation of CSR in the company management by applying the accountability principle as part of the Good Corporate Governance principle, which is the implementation of CSR is not only a responsibility that owned by the company, but also as a promotion media in gaining profits.

The research focusing on the development of "ICMLS version 3.0 (Integrated Communication Mobile Laboratory Simulator)" is a study that aims to produce human learning innovations that have shifted from Human Communication to Human Numerical. Prototype ICMLS 3.0 has integrated artificial intelligence with aspects of creativity supported by a model of findings of Bio-communication. Through R & D research and development methods, ICMLS version 3.0 products are produced through the support of industrial partners so that the quality and quantity can be felt by all SMKs in the world. This Prototype can accommodate practicum and student competency test. The results of the experimental results of Vocational students from 8 Vocational Schools have been shown to increase the average student competency test in 10 competency tests from 75.13 to 85.53.

The Problem of science learning at schools usually relates to teaching materials. Teaching materials used as study guides are usually not in accordance with the character and environment of students. This research aims to develop scientific teaching materials based structured inquiry assisted by animation media. The development procedure in this research uses the Dick & Carey model which has 10 development stages namely asses need to identify instructional goal, conduct instructional analysis, analyze learner and contexts, write performance objectives, develop assessment instruments, develop and select instructional material, develop instructional strategy, design and conduct formative evaluation of instruction, revise instruction, design and conduct summative evaluation. The quality of developed product was assessed through feasibility test by two experts and one teacher as a user. Feasibility aspects that are assessed are the content, presentation, language, graphics, and learning media. The feasibility percentage of each aspect was 84%, 88%, 85%, 79% and 83%. The average result of the feasibility presentation value is 83,8%. In conclusion, scientific teaching materials based structured inquiry assisted by animation media is very feasible to be applied in the learning process in junior high school.

Education and technology must go together in this millennium. This study aims to develop mobile learning-based teaching materials for thematic learning in elementary schools. This study uses research and development methods with the Dick and Carey model. The instruments used in this study were interviews, questionnaires, and tests. The results of this study are teaching materials based on mobile learning. Based on the results of the pre-test and post-test analysis, it shows that there are differences in learning outcomes between the pre-test and post-test stages. The results of the t-test show that t count = 12.10 and t table = 1.99 at the significance level α = 0.05 / 95%. Thus it can be concluded that there is an increase in learning outcomes experienced by students, after participating in thematic learning with teaching materials based on mobile learning.

Learning materials that are integrated with technology are currently being used. This study aims to determine the effect of mobile learning-based teaching materials on student learning outcomes in thematic learning in elementary schools. This study uses an experimental method with a 2x2 level treatment design, to answer the question of how the influence of mobile learning-based teaching materials for elementary schools. The results showed that there were significant changes to the learning outcomes of students after using mobile learning-based teaching materials, compared to using conventional teaching materials. Thus it can be concluded, that teaching materials based on mobile learning can affect the learning outcomes of elementary school students.

The purpose of this study was to develop a smartphone based laboratory manual as learning media for biology learning. This research was conducted using the ADDIE model (Analysis, design, development, implementation, and evaluation). The media feasibility test obtained an assessment of 90.28%, material experts 87.75%, biology teachers 91.37% and 88.46% students with very good interpretations. The increase in psychomotor ability test obtained a gain value of 0.49, which means there is an increase in psychomotor abilities of students with a moderate category. The conclusion obtained is that the smartphone-based laboratory manual has been successfully developed and is suitable for use in learning.

This study aims to determine the differences in psychomotor learning outcomes between students who are use a smartphone-based laboratory manual with students who use laboratory manual based on printed module. This type of research is quasi experimental research. The sample consisted of 40 students 11^th grade high school with 20 experimental group students and 20 control group students. Data collection uses observation sheets of student lab work skills. The results showed that there were significant differences between student learning outcomes using the lab manual on smartphone with students using printed modules so that it could be said that laboratory manual based on smartphone application could improve students' psychomotor learning outcomes.

The use of Information and Communication Technology (ICT) for school management is very helpful in providing services to students and other stakeholders. ICT as a technology can be useful if used to improve its performance. Whereas someone will use technology to assist in completing his work if he feels that the technology is easy to use. A person's perception of existing technology will encourage the use of this technology in its work. This study aims to examine the effect of perceptions of ease of use of ICTs on service quality in vocational high schools in West Java. The method used in this study is a causal survey. Sampling in this study used proportional random sampling technique with a total sample of 248 respondents. The research data were analysed using path analysis with the Partial Least Square (PLS) approach. The results of this study indicate that the perception of ease of use of ICT indirectly affects the quality of stakeholder services in Vocational High Schools in the West Java Region.

The purpose of this research to analyse the service quality of online transportation an area in Indonesia, seen from consumer perceptions, and map service quality attributes based on consumer perceptions. The research method used in this research is Service Quality Analysis (SERVQUAL) and Importance Performance Analysis (IPA). The population in this research is online transportation consumers, who have used a go ride service at least 1 time. The sampling used in this research was sampling quota of 200 respondents. The results of this research indicate that overall there is a gap between performance values with consumer expectations of -0.5, so it can be assumed that the service quality of Gojek in the region according to consumer perceptions is quite good. Based on the results of the mapping it was found that the factor of ease of web navigation became one of the factors of the services quality of online transportation. So that these factors must be a concern of the company.

The instrument of locomotor basic movement skills for elementary school students based game is a measurement tool to determine the eight learning outcomes of locomotor basic movement in early level students an age where fun activities are essential to them. This study aims to develop the instrument by identifying the characteristics of children generally at their age besides to analyse the current methods that have been used by teachers in elementary school. Literature review method was used in this research through pre-survey activities. The survey was carried out in 17 public elementary schools in Ciracas sub-district, East Jakarta. Early research results in, the indicator of locomotor basic movement's scoring add up to 8, making test scoring form with scoring range 1 until 4 with observation test of locomotor basic movement skill which is conducted through playing puzzle activity. The results of this preliminary study recommended that puzzle games can be applied as an assessment tool for the locomotor basic movement of low-grade students in the elementary school, but with revisions to improve the final blueprint/prototype.

Futsal at a glance is similar to football. Likewise with variations when planning, when leading, shooting, and passing the ball. The choice is different between soccer and futsal which is located on a wide field between them. Extensive futsal fields are much smaller than a soccer field. This research was conducted in the area of Kusuma Cijantung, East Jakarta, Jakarta. This research was conducted in March-April. The research in this study discusses. About testing the effectiveness of variations of futsal training based on interactive multimedia. The population in this study were first semester students of STKIP Kusuma Negara Jakarta with one hundred twenty people. The part in this study was semester students from forty people randomly. The results of the study show that this variation is effective for use in futsal training or school learning.

This study aims to investigate whether or not there the difference between students' mathematics concept comprehension ability by using Think Pair Share (TPS) approach and by using direct learning reviewed based on their preliminary ability (high, medium, and low level). This research was a quasi experiment by using post-test only control group design that aimed to investigating the cause and effect by treating one of classes, and comparing the result of the class that was treated differently. Methods of data collection in this study through observation, documentation and test, involving 42 students of senior high school in Pekanbaru in the even semester of 2017. T test was used to analyse the data. The results showed that there are difference between students' mathematics concept comprehension ability by using TPS approach and by using direct learning reviewed on their preliminary ability to learning outcomes. Classes with TPS approach give better learning outcomes than the ones in direct learning classes. Thus, in general the implementation of TPS approach influenced students' mathematics concept comprehension ability reviewed based on their preliminary ability at Senior High School in Pekanbaru.

The purpose of this study is 1) to develop DOMI KALI media, 2) to describe the feasibility of the DOMI KALI media, 3) to describe the practicality of the DOMI KALI media. The method used is adapted from the ADDIE model with four stages, namely: analysis, design, development and implementation. The subjects of the trial were the third grade students of Sumbersari Elementary School 2. The instruments of data collection used validation sheets, questionnaires, unstructured interviews. The results showed that the DOMI KALI media is feasible to use. It obtained a percentage of 90.69% of the experts so that it was included in the feasible category. DOMI KALI is right to understand multiplication and more pleasant learning atmosphere. It is suggested to the teacher to use the DOMI KALI Media as a tool in learning activities so that the multiplication counting operation material is more fun.

Quality control must be carried out very tightly for the production of single wing multivariate dispersion aircraft manufacturing. This research was conducted at PT. Dirgantara Indonesia in producing components of Airbus aircraft wings centered in Germany and France. The method used includes three stages, namely determining the single observation MEWMS diagram, determining the algorithm for determining L, and implementing MEWMS. The data used are L simulation data for p = 2 and p = 3, ARL = 370, and various values, key characteristic data from 31 wing component components of the aircraft fly with. The results showed that the more variables, the L value as the determinant of the width of the MEWMS control limit was smaller, and the greater the value of ω, the value of L as the width of the MEWMS control border width is wider.

This study aims to examine the effect of mathematical disposition of junior high school students on mathematical communication skills. This study used a correlation method with a quantitative approach. The subjects in this study were 31 student which is the eighth grade at one of the junior high schools at Bandung. The instrument used consists of a test instrument which is a test of mathematical communication skills with the indicator is forming a mathematical model; arguments based on analysis of images and concepts; and the appearance of conceptual models, such as images, diagrams, tables and graphs and non-test instruments in the form of questionnaires about students' mathematical dispositions. The results of the study show that the mathematical disposition of junior high school students has a positive influence on mathematical communication skills. Students' mathematical communication skills are influenced by mathematical dispositions of 74.5% and 25.5% influenced by other factors beyond students' mathematical dispositions. This shows that the relationship between students' dispositions and its mathematical communication skills is strong enough. Students who have a positive disposition towards mathematical learning tend to be active and can express ideas well.

Analysis toolpak is very useful for a problem related with matrix material the purpose of this research article is to analyze the effectiveness of using the ToolPak analysis on matrix algebra. The method of this study is an experimental method with quasi-experimental design. The sample in this study took 27 students at the first years of the one at a private college in Indonesia. The results of processing data show that the value tcount equal to 9,207 and then the value (2-tailed) equal to 0,000 smaller than alpha 0.05 so that Ho is rejected. As the implication from this study the use of effective ToolPak analysis to improve students mathematical reasoning abilities in matrix algebraic material

The quadratic function of the part of mathematics that is dynamic. This gives the meaning that drawing graphs of quadratic functions can use a variety of different ways. The purpose of this study is to find out what underlies a person in solving mathematical problems in different ways. Sampling was done by purposive sampling with two respondents who had learned quadratic function material. The study was conducted qualitatively by analyzing the way respondents in the presentation of graphs of quadratic functions. The results showed that the effectiveness of drawing graphs of quadratic functions is influenced by the ability to think creatively. This implies that it is necessary to develop creative thinking skills in the educational environment.

In this paper we discuss the issue of linear algebra on the investment portfolio optimization models. It was assumed that stock returns are analyzed have a certain distribution, so that the mean and variance and covariance between the separation can be determined. Return of some stock used to form a vector averaging, and the number of shares used as the basis to form a unit vector. While the variance of each stock as well as the covariance between stocks, is used to form a covariance matrix. The investment portfolio was formed consisting of several stocks, in order to maximize the expected return and minimize risk. The portfolio optimization was performed using linear algebra approach. The result is a formula used to determine the optimum composition of the portfolio weights. The resulting formula is very useful for the analysis of the investment portfolio optimization.

This paper discusses about the comparison of the three methods in the assignment that is the Hungarian Method, Matrix Ones Assignment, and Alternate Mansi Method. The Hungarian methods determine penalties in every row and column by decrease the smallest or largest point in row and column. The Matrix Ones Assignment determine penalties, divide minimum or maximum point in every row and column. The Alternate Mansi Method find the minimum or maximum value in each row that has unique value relate with the column. The concept of this problem is applied to car manufacturing company, with balanced data. While University Port Harcourt Project, using unbalanced data. Thus, it can be concluded that the Hungarian method is the most optimal.

Generalized Linear Models (GLM) has been used for modelling various types of data where the distribution of response variables is an exponential family. Common examples include those for binomial and Poisson response data. The GLM regression model determines the structure of the explanatory variable or covariate information, where the link function specifically determines the relationship between the regression model and the expected value of the observation. Bayesian techniques can now be applied to complex modelling problems where they could not have been applied previously. This method is a simpler model than traditional frequentist techniques. Estimating the regression model parameters is done by using Bayesian GLM. In this paper, we study conducted modelling for the number of dengue sufferers in Indonesia using the Bayesian GLM approach with several prior distributions. There are 6 independent variables that have a significant effect on the regression model, that is population density, Gini ratio, proper sanitation access, healthy zoning, integrated control and total sanitation. Based on Akaike Information Criterion (AIC) and standard error, the Bayesian GLM estimation results for Cauchy and Normal prior distribution will converge to the same value as that obtained by GLM.

Statistics and probability are part of school math. But in reality, there are still many students who get poor grades in the subject. This study aims to find out on which indicators student experience difficulties in statistics and probability. The research method used was quasi-experimental with a total sample of 115 respondent. The result show that respondents' difficulties in statistics and probability were difficulties in in probabilistic reasoning, combinatoric reasoning, and proof of variability in random variables. Based on the result obtained, to be able to understand statistic and probability properly, good mathematical logical thinking skill are needed.

Wingeom program is a mindtool to solve geometry problems. It is used to develop dimensional geometry frameworks. The program can help visualize geometric concepts so clearly that respondents will understand geometry concepts effortlessly. Driven by this expediency, this design base research was carried out in three stages; what to learn, how to learn, when to learn, monitor the ongoing process and evaluate what has been planned, done, and the results of the process. This research is expected to be an alternative and solution in overcoming difficulties in understanding the Geometry concepts. Five respondents were selected to participate in this study. The results of the study showed that the respondents were able to explore, observe, and perform animated images and dimensional geometry material.

The purpose of this study was to determine the differences in the increase in students' spatial thinking abilities; differences in achievement of spatial thinking skills based on students' Early Mathematics (PAM) knowledge; and the difference in increasing the mathematical character of students between before and after mathematics learning using the Cabri 3D software with a scientific approach. This study uses quasi-experiment, the experimental class uses Cabri 3D software with a scientific approach and the control class uses conventional learning. The results showed that: there were differences in the increase in spatial thinking skills; there are differences in achievement of spatial thinking skills based on PAM and there is interaction between PAM categories of students with learning in achieving students' spatial thinking skills; there is a difference in the improvement of students' mathematical characters between before and after mathematics learning using the Cabri 3D software with a scientific approach. Mathematics learning using Cabri 3D software with a scientific approach is one alternative to improve spatial thinking skills and mathematical character of students.

The purpose of this study was to determine the ability of the mathematical structure sense and attitudes of students through learning with construct 2 and sticky notes. The design of this study was Quasi Experimental with a non-equivalent control group design model, the research subject of the first semester biology of education students who were studying elementary mathematics. The results showed that the low ability of students' mathematical structure sense was caused by several factors including the low response of elementary mathematics learning students 43.24%, low ability of student symbol sense of students are 51, 64%, construct 2 needs to be developed to respond to students who have basic math learning difficulties 63.21%, and 74.56% of students state that sticky notes are easier to apply, understandable and more practical. The ability of the structure is influenced by the learning model and the media used.

Variable selection is an important topic in linear regression analysis. In practice, a large number of predictors usually are introduced at the initial stage of modeling to attenuate possible modeling biases. stepwise deletion and subset selection are usually used which can be computationally expensive and ignore stochastic errors in the variable selection process. In addition, the best subset selection of variables suffers from several disadvantages, the most severe of which is its a lack of stability. In this article, penalized likelihood approaches are proposed to handle these kinds of problems. The proposed methods select variables and estimate coefficients simultaneously. Some of penalty functions are used to produce sparse solutions. Based on the RMSE and Generalized Information Criterion (GIC) criteria, it was found that the factors affecting Indonesian mathematics scores, where LASSO produces 11 important variables for the model while SCAD has 6 variables which mean that the LASSO model is more complex than SCAD. The MCP produces a simpler model with 5 important variables but has excessive biassed. The results also showed that the SCAD penalty function had the best performance compared to LASSO, Ridge and MCP. Ridge penalty has a worst performance based on all criteria.

The teacher is one of the important factors in a good teaching and learning process. A teacher is required to have qualified cognitive and pedagogical abilities, so that he/she is creative in everything, including problem posing. Many studies discussed the problem of students' ability but not many discussed the problem of teachers' ability itself. This study used ATLAS.ti software as a tool for data analysis. ATLAS.ti software assisted researchers to manage all various data. The research was conducted on prospective teachers in one private institution. Observations and tests were conducted on 40 respondents, while only 6 respondents were involved at the time of the phase, namely interviews. Through ATLAS.ti software, the result showed that the problem posing skill of prospective teachers was still far from enough. What is needed is the right action to overcome the problem.

The purpose of this study was to determine the increase and achievement of mathematical spatial abilities based on high, medium, and low categories and to find out the attitudes of students towards learning through Wingeom. This research is a quasi-experimental study conducted on class IX students of one junior high school in Bandung Regency. Based on the data gain and posttest data it was stated that there were differences in the significant increase in mathematical spatial ability in both the PAM (pengetahuan awal matematika) category (early mathematical knowledge) and overall experience differences with the high mean. In general, students respond well to the use of learning media through the Wingeom application with an analysis of 2.76. Thus learning through the Wingeom application can be used as an alternative to improve the spatial abilities and mathematical dispositions of students.

Let G = (V (G),E(G)) be a graph and k be a positive integer. A total k-labeling of G is a map f:V (G) ∪ E(G) → {1, 2,...,k}. The vertex weight v under the labeling f is denoted by wf(v) and defined by wf(v) = f(v) + ∑ υν∈E(G)f(ν∈). A total k-labeling of G is called vertex irregular if there are no two vertices with the same weight. The total vertex irregularity strength of G, denoted by tvs(G), is the minimum k such that G has a vertex irregular total k-labeling. Let G and H be two connected graphs. Let o be a vertex of H. The comb product between G and H, denoted by G⊳oH, is a graph obtained by taking one copy of G and |V (G)| copies of H and grafting the i-th copy of H at the vertex o to the i-th vertex of G. In this paper, we determine the total vertex irregularity strength of comb product of cycle and path with order 3.

Sarrus's method is a rule to compute the determinant of a 3×3 matrix, by write out six entries of matrix (two columns or rows of matrix). Recently in 2014, Hajrizaj gave three new methods to compute determinant of a 3×3 matrix, by write out four entries of a 3×3 matrix. By position of copied entries from Hajrizaj's methods, we do combination for four duplicate entries to get fourteen methods of computing determinant of a 3×3 matrix.

A set of matrices integers modulo prime forms a finite group. This group has trivial and nontrivial subgroups. The trivial subgroup is normal and for a non-trivial subgroup the normal properties will be investigated. Furthermore, if a nontrivial subgroup is a normal subgroup, then a quotient subgroup can be constructed. This paper discusses the characteristics of normality of quotient subgroup on matrices integers modulo prime. By study of literatures, the order of group play an important role in this quotient subgroup. We derive some characteristics of normality of quotient subgroup. The result is that the order of subgroup determine on the normality of a quotient subgroup.

This study aims to classify diabetes events accurately, because it can be used as early prevention before complications occur. Based on linear discriminant analysis, it gets that someone who have more weight, lower age, and more cholesterol level will make s/he classified into diabetes patient. Then, based on APER test, it gets results the percentage of misclassification is 14%. Therefore, classification of diabetes case using discriminant analysis can be used for the classification of diabetics, because the accuracy has a reasonably high result. Classification with discriminant analysis is expected to be applicable to other diseases datasets.

This study aimed to investigate how to teach the surface area of a sphere and volume of a ball to students of elementary school teacher education using the inquiry approach. The study used a single-subject research approach for students of elementary school teacher education, Universitas Kanjuruhan Malang, Indonesia, who have been permanent teachers in elementary schools. They were to teach the surface area of the volume using experimental demonstration method. The data analysis used in this study was a combination of quantitative and qualitative description. The results of the study showed that students found the surface area of a sphere was 4πr^2using the approach of circle area and the volume of a ball was 4/3 πr^3 using the approach of a cylinder volume. It had been proven that the approach was effective to improve students' understanding, particularly on the surface area and the volume. In addition, they were also able to implement it to their students at schools.

In this paper we developed insurance model on property rental business using. Generalized Linear Models (GLM). GLM was chosen because the data on property rental match with the characteristics of GLM. Analysis of the model is done by looking at the relationship between the distribution functions that are most widely used in the analysis of property rental data. The models for the relations of distribution functions are: Poisson-Gamma, Poisson-Inverse Gauss, Negative Binomial-Gamma and Negative Binomial-Inverse Gauss. The relationship between the distributions is seen from the root-mean-squared error (RMSE) and absolute mean error (MAE). The simulation results show that the model formed in the case of random effects increases in standard deviation values also increases the variation value on the average estimator. This is in accordance with the condition that the addition of standard deviation means that there is an increase in the variance of the data.

This study focuses on analysing the theses of Mathematics Education Study Program especially the Design Research (DR) types to find out the relationship between mathematics learning materials with the characteristics of Realistic Mathematics Education (RME). DR is a research methodology aiming to develop local instructional theory. The emphasis of DR is on the process of designing and conducting instructional activities, also known as the Hypothetical Learning Trajectory. The relational analysis used in this study is error analysis. We observed and described alignment between the mathematical concepts, the instructional activity and the characteristics of RME in the DR theses. Using the relational understanding framework, we analysed 36 DR theses. The finding showed that some theses developed instructional activities which were not well-aligned with the mathematical concept taught, hence the relational understanding was not achieved. However, we also found that some theses developed instructional activities that were appropriate with the mathematical concept. In such cases, the students' relational understanding was achieved, and their mathematics learning outcomes were increased.

The use of weights observation was effected on the estimation of coordinates and its precision. This research aims to identify 3D coordinates and its precision using weights observation from the result of GAMIT processing and the law of error propagation in sequential adjustment method. This research uses GNSS observation data from 10 deformation monitoring control points around Sermo Dam that was measured on doy 250 in 2014 and doy 129 in 2015. Data processing was performed by GAMIT software to get a baseline length and its precision. Baseline length and its precision were used as input in the sequential adjustment method. The values of weight observation were calculated using the result of GAMIT processing and the law of error propagation. The result of this research are 3D coordinates control point and its precision. The coordinate results using weight observation from GAMIT result does not significantly different from the law of random error propagation result, whereas the precision result is different significantly. The differences of precision reached 2 centimetres.

Given a commutative algebra with unit element R and an R -module U, in this paper we will construct a category consists as objects all pairs of R -modules (N,M) where N is direct sum of U and M contains U . To define the morphisms between any two objects, we will identify an object (N,M) with an R -module E determined by N and M . By this method, we obtain a category denoted by C_U. Further, if W is a direct summand of U then there exists a functor from C_U to C_W.

Testing the validity and reliability of objective questions on PPEP (Perencanaan, Pengelolaan, dan Evaluasi Pembelajaran/Learning Planning, Management, and Evaluation) courses which is carried out at the Biology Education Program Study FMIPA UNJ demands thorough attention, considering the lecture material in this course is important to provide adequate knowledge for the students as prospective education graduate. Problem Based Learning Model is a cooperative learning model that focuses on student group work in the form of small groups, which consists of four to six people. Students in groups will work together in a positive way and become responsible independently. Data collection using pretest and post-test completed with documentation. The results of this study show that there is an influence of the problem-based learning model on students' skills in testing the validity and reliability of objective questions on PPEP courses.

Teaching performance evaluation is an important factor to improve the quality of teaching as well as the quality of school management. This paper aimed to evaluate teaching performance in elementary schools. Since Information and Communication Technology (ICT) support is one of the multi criteria of evaluation, AHP and SAW integration was suggested to evaluate teaching performance. In the evaluation process, AHP method was used to consider criteria and sub-criteria. Therefore, a case study was conducted to describe the issue. The results showed that both the methods of AHP and SAW were objective, accurate, and scientific in evaluating elementary school teachers' teaching performance. It is expected that the tool is used to be able to improve teaching performance in elementary schools.