Table of contents

University of Bengkulu, based on a mandate given by BKS PTN bagian barat (Coordination body of Indonesian state university in West Region), organized International Conference on Engineering Technology and Applied Science (ICETSaS) 2019 on 17-18 October 2019 in Bengkulu, Indonesia. The theme of ICETSAS 2019 is "Coordinating Science, Technology and Culture for Sustainable and Resilient Future". The conference has been held successfully thanks to support from Indonesian Ministry of Research, Technology, and Higher Education, Bank Bengkulu, PT Telkom, PT Sentra Ardi Purna and many others. Selected papers from the conference is published in this book.

The conference was honored by the presence of two keynote speakers i.e. Prof. Haslan Abu Hassan, Ph.D. from Universiti Sains Malaysia and Prof. Dr. Ing. Yulfian Aminanda, C-Eng. from Universiti Teknologi Brunei. Other speakers were also presenting many topics related to Geographic Information System, Cloud Computing, Web/Mobile Apps, Artificial Intelligent, Image Processing, Internet of Things, Control and Robotic System, Electronic and Instrumentation, Computer and Information System, Power Energy and Telecommunication.

The review process indicates that many submitted papers are weak in term of language even though the content is interesting. Therefore, the organizing committee allow the papers to be presented first. After that, there is some assistance in improving the language of the paper to increase the quality of the paper. Papers which have been improved is then published in this proceeding. Relawan Jurnal Indonesia has been supporting the organizing committee in the publication process.

We would like to thank the members of advisory boards (Prof. Drs. Suharno, M.Sc., Ph.D, university of Lampung and Dr. Ridwan Nurazi, M.Sc., University of Bengkulu), member of steering committee (Drs. Boko Susilo, M.Kom., University of Bengkulu; Irza Sukmana, S.T, M.T, Ph.D., University of Lampung), and many others which cannot be mentioned here.

Organizing Committee

Helmizar, S.T, M.T, Ph.D.

All papers published in this volume of IOP Conference Series: Materials Science and Engineering have been peer reviewed through processes administered by the proceedings Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.

Platelet rich plasma (PRP) and platelet rich fibrin (PRF) are sourced from human blood and have role in bone recovery. Both of them could be incorporated into scaffold for bone regeneration. Synthetic coral scaffold is a natural mimicking of sea coral designed for bone regeneration. It should have bio degradability and bio absorbability that influence new bone formation process. The purpose of this study is to investigate the degradation, swelling profile and gel fraction of synthetic coral scaffold incorporated with PRP or PRF. Synthetic coral scaffold consists of gelatin, calcium carbonate, and sodium nitrate as dispersant agent. It is divided into 3 groups, incorporated PRP, PRF, and no-incorporation. Scaffold was soaked in phosphate buffer saline (PBS) and incubated in 37° C for 24 hours. Scaffold weight was measured in every 30 minutes to observe the swelling profile and gel fraction. Degradation profile was observed after 1, 3, 6, 24, 48, 72, and 96 hours of soaking. Acceleration of degradation was measured after soaking with HC1 1N for 1, 3, 6, 24, 48, 72, 96 hours until the scaffold ran out. The result shows significant differences among PRP, PRF, and control group. PRP incorporation has slow degradation, good swelling and higher gel fraction that presents the strengthening of scaffold structure.

Shrimp production is currently constrained by many diseases. These diseases are conventionally prevented by administering chemicals as immunostimulants, with their attendant side effects. Alternative natural ingredients as immunostimulants in shrimp production are being sought, and Majapahit plant (Crescentia cuje L.) is one. In vitro and in silico studies on the plant's stems, leaves and fruits showed the plant's desirable effects on the immune system of Vannamei Shrimp, as the plant contains important bioactive compounds (e.g. carotenoids, phenolics, alkaloids, pectin, tannins, flavonoids and terpenoids). The present study determined the ability of Majapahit fruit powder mixed into shrimp feeds in enhancing the immune system of the seafood. Liquid chromatography–mass spectrometry (LC-MS) revealed quercetin flavonoids as the effective active ingredient in the powder, which in silico study proved to be an effective immunostimulant for shrimps.

Cardiovascular disease is the biggest cause of death in the world with the number of deaths reaching 17.7 million people (31% of the total number of deaths). The main cause of cardiovascular disease is a disturbance in the function of the heart and blood vessels caused by atherosclerosis due to the deposition of cholesterol in artery walls. High Density Lipoprotein (HDL) functions to transport free cholesterol contained in the endothelial peripheral tissue to HDL receptors located in the liver so that it can be processed to be used as bile. Therapy to increase levels of HDL in the blood using okra juice (Abelmoschus esculentus L.) can be done in rats that have been given high-fat feed. The purpose of this study was to determine the effect of okra juice (Abelmoschus esculentus L.) on HDL levels in rats fed high fat. The study was conducted with giving okra juice (Abelmoschus esculentus L) with dosage difference of 1500 mg/kg bw, 3000 mg/kg bw and 6000 mg/kg bw. The research design used was complete random design with post-test randomized group design with a number of replications 5. Testing of HDL levels was carried out by the CHOD-PAP (Cholesterol Oxidase Para Aminophenazone) method. The research data were analyzed using one-way Anova followed by LSD tests. The results of the study giving okra juice (Abelmoschus esculentus L.) to HDL levels by induction of high-fat feed at a dose of 6000 mg / kg body weight were significantly different from lower dosage. Conclusion, okra juice (Abelmoscus esculentus L.) has a positive effect on increasing HDL levels..

Virgin Coconut Oil (VCO) has been known in Indonesia since a decade ago. This oil is made from coconut milk using unheated method, such as enzymatic, physical, and chemical method. The VCO has been proofed to have many health benefits such as for treatment of hyper-cholesterol, diabetes, viral and bacterial infections. Also, the oil has been utilized in the cosmetics industry for beauty skin care. In the increase of VCO demand for pharmaceutical industry, this study was conducted to find the method for VCO production using an environmentaly friendly process. The environmentally friendly process was conducted to maintain the sustainable environment. This paper deals with the enzymatic method of VCO production. The enzyme was obtained from fresh pineapple juice that is proofed contain bromelin. The enzyme will cleave the polypeptide bond of emulsifying agent in the coconut milk. Further, the oil will be separated and then collected as the VCO. During this work, the amount of the fresh pineapple juice varied to measure the rate of VOC production. Based on the observation during the production, it is found that the increase of fresh pineapple juice added increases the VCO production.

The need for biodiesel as an alternative fuel will increase along with the increasing energy consumptions and the depletion of fossil fuel reserves. Jatropha oil and soybean oil are potential raw materials for biodiesel. Each raw material gives different properties to biodiesel. Mixing the two types of oil makes it possible to improve the quality of biodiesel. The aim of this study was to determine the effect of variations in the composition of the oil mixture on the biodiesel properties. Jatropha oil was mixed with soybean oil in various compositions. The mixture was heated and stirred for 60 min at 90°C. The more the percentage of soybean oil biodiesel, the viscosity of the biodiesel mixture decreased. Mixing with 20% soybean oil has a significant reduction in viscosity. The increasing percentage of soybean oil also influences the higher heating value of the biodiesel mixture.

Aloe chinensis Baker is commonly cultivated in Indonesia especially in Pontianak and Bogor. Aloe vera gel contains various anti-inflammatory compounds. The objectives of this study are to determine the effects of Aloe vera gel extract additions to the formulations of burn cream and to obtain the best formulation in healing burn wounds on outer epidermis through testing on white mice. Aloe vera gel extract was prepared with a rotary evaporator for 90 minutes at 40 °C and 110 mBar. The basic formulation of the burn cream included oil phase and water phase. There were six concentrations of Aloe vera gel extract added to the above burn cream at 0%, 2.5%, 5%, 7.5%, 10% and 12.5%. The resulting formulations produced pHs that were within the acceptable range of skin physiology (4-8). The viscosities were in good consistencies that were easily applied on skin without drips. They also exhibited fineness values of 9-10 μ, refractive indices ranging from 51.5 to 78.3, and opaque color of milky white. Biological experiments showed that burn cream sample with Aloe vera gel extract at 5% concentration to be the most effective by healing 2^nd degree burn wounds the fastest during 20-day trials.

Technology continues to grow from year to year that aims to facilitate human work or automation of a system. In this case, the concept of smart laboratory is applied in the laboratory room of Electrical Engineering Faculty of Muhammadiyah University of Sidoarjo by utilizing temperature sensor. This application is used to determine the room temperature as well as the proximity sensor to know the person entering and exiting the room. The sensor is controlled by the NodeMCU microcontroller board to make the system work automatically. For example if someone goes into the room the lights will light up and adjust the temperature with the number of people who are indoors. By applying the internet of things, the system can monitor and control via smartphone updated on realtime firebase databases so that it is not limited by distance because it uses the internet network.

Communication science and information technology (ICT) has been progressing and contain complex implication for individual, groups and inter-country relationship. Along with ICT evolution, threats (including theft of information) increase and electronic systems are adopted. As a government agency in higher education with the country's strategic data, XYZ cannot escape hackers trying to access the assets. Strategic assets include system and company's data as well as systems and data which might be taken for granted by irresponsible parties. Therefore, it is necessary to secure information and data systems in XYZ. Moreover to test whether the implemented cyber security system can optimally standardize the company's information and data systems. The application of Security Information Event Management (SIEM) to cyber security systems to detect incoming threat alerts and block access to suspicious threats. While the honeypot is used to deceive the hacker into a fake system intentionally attacked and learning the tricks that intruders use when performing the action. The results of the test of the application of SIEM and Honeypot at XYZ can monitor the monitoring of information system and data-related threats in real-time, and deter and transmit cyber-attacks to adequately protect information security so that the use of cyber security systems with SIEM & Honeypot can secure the information and data systems owned by XYZ optimal.

The house is a valuable asset that needs to be guarded, not infrequently some people experience undesirable things happening in the home environment, these things include fires and theft. Anticipation is not just enough by manually such as locking the door, or preparing fire extinguishers, in addition to the manual way of anticipation can be added by automation, namely by installing devices that can monitor the condition of the house and also can control electrical equipment in the house. The automation tool intended in this study is an IoT-Based Smart Home Controller Using the NodeMCU Lua V3 Microcontroller and Telegram Chatting Application. The use of automation systems like this is an option to be implemented because it saves power and the price is relatively cheap. This device / system uses 2 NodeMCU Lua V3 microcontrollers and several sensors (fire sensors, motion sensors, temperature and humidity sensors) and also this role utilizes the 4 Chanel Relay Module which functions as a switch to turn off or turn on electrical equipment in the home. The control function of the smart home controller device also utilizes the Telegram chat application bot that is planted on an IoT-based system device with the function of receiving commands from users through the Telegram chat application to monitor the condition of the house and also controls the relay module used as a switch of equipment.

Smart Home is one form of technological progress in the Industrial Revolution Era 4.0 that facilitates human activities in controlling and monitoring the condition of the home that is not limited to distance by utilizing electronic equipment, the internet, and smart phones[1]. In this research, a prototype of Smart Home with Internet of Things (IoT) which is equipped with a proximity sensor (HC-SRF04) to open and close the door of the house automatically, a temperature sensor (LM35) in detecting the integrated room temperature on and off based on the fan room temperature, and lights and fans that can be controlled remotely by using the internet and smartphones. Android application to control and monitor homes in Create by using the Blynk application. The Temperature Sensor and Proximity Sensor on Smart Home are tested using Industry standard distance and temperature measuring devices (digital thermometers). The accuracy value of the device reaches 98.22% for distance measurement, and 98.50% for room temperature when compared with industry standard tools. Android applications have been successfully tested in several types of smartphones with different brands and specifications. The distance of the smartphone to the Smart Home location in monitoring and control was successfully tested and worked well at the closest distance of 5 meters to the farthest distance of 17,466 km (State of Mexico), all of which use the Internet.

Very short term electricity load forecasting (VSTLF) is done the day before forecasting every 30 minutes. This forecasting is imperative about the planning of operating plants, which are carried out in maintenance and related to economic considerations. This forecasting refers to the loading of electricity in a particular area and time. Very short-term electricity loading in the past few years has been used to predict the electricity load shortly. One method used for forecasting very short loads is using IT-1 FIS. In IT-1-FIS, the dataset is made by looking at the imposition of electricity on certain days at certain hours of the previous year. The data that calculate time difference forecast Friday 4th used Friday 3rd, 2nd, and 1st at the same hour and month of the past year. In this study, it proposed that the calculation of Time difference forecasting the 4th Friday be used data Thursday 4th, 4th Wednesday, 4th Tuesday. After entering into IT-1-FIS, the forecasting error result is 0,6123 %. This value is higher than if you use the time difference on Friday 3rd, 2nd, and 1st, which has a forecast error value of 0,4695 %. So it can be concluded that the time difference setting is very influential in the process of calculating forecasts, and the use of time difference data with the use of Friday data 3rd, 2nd, and 1st is better.

Roads are land transportation infrastructure that covers all parts of the road. Roads with bad conditions will interfere with the achievement of activities to a destination. The situation also includes damage to the road surface in the form of holes. To overcome this, in this Final Project a hole detector was detected in the road using the Gray Level Co-occurrence Matrix (GLCM) and Neural Network (NN). The tool detects holes in the surface of the road using a camera by walking along the road being examined. The camera is used instead of the eye to detect road surface damage. The method used to detect holes is the GLCM. The GLCM method produces several features, namely entropy, contrast, energy, homogeneity, and correlation which will then be processed using a NN to produce a decision whether there is a hole or not. In addition to knowing where the location of the damage is equipped with GPS (Global Positioning System). The results of image feature extraction using the GLCM and road classification using NN can be used in the hole detection process. Testing is done using a car prototype that is monitored through the computer. The percentage of successful hole detection is 86.6% using 10 hidden. When a hole is detected the device manages to take a picture, then sends the hole coordinates to the server.

Cipayung Landfill is the last disposal location of waste processing in Depok City, West Java. In a day, approximately 800 tons of garbage is dumped, which is then processed by being burned and left to decompose for inorganic and organic waste, respectively. However, poor waste management has resulted in an accumulation that continues to this day. This creates a variety of problems, especially leachate contamination that infiltrates to the groundwater, flows along and threaten the health of residents who live in the vicinity. This liquid contains toxins and hazardous materials. Therefore, it is essential for residents to know the level of contamination occurred and its dispersion, along with actions that must be taken to reduce the impact of pollution. In this study, we map the distribution of contaminated groundwater using the geophysical ground penetrating radar method, together with the chemical analysis of water samples. Ground penetrating radar has been useful to detect the change of permittivity and conductivity of layers below the surface. It is possible to mark off the contaminated groundwater to the fresh one indicated from an extensive amount of electromagnetic signal attenuation. This study suggests that there is contamination occurred in radius up to hundreds of meters from the landfill site. The result of this community-based research gives an advisable policy regarding waste management and groundwater usage in this area.

Depression is a major cause of disease burden worldwide in women of childbearing age and 5-10% of all pregnant women experience antenatal depression. depression in pregnancy is associated with the incidence of stillbirth, premature, low birth weight, asphyxia, and congenital abnormalities in newborns. Although antenatal depression has a very detrimental effect, anxiety and depression during pregnancy are still less detected so that the treatment has not been maximized. The aim of this study is to develop model of antenatal depression detection system. This research will design an information system on detection of antenatal depression based on Android mobile using prototyping method. The needs analysis of this information systems is carried out by interviews, observations, and literature studies aimed at producing an effective and efficient system. Antenatal depression detection test uses the Edinburgh Postnatal Depression Scale (EPDS) questionnaire consisting of 10 questions. The results of this study is the form of antenatal depression detection information system design in android and web based.

The problem that often occurs in high-rise motorbike parking lots is the lack of information on the availability of motorbike parking lots. Currently at Muhammadiyah University in Sidoarjo there is no information system in the motorbike parking lot so users are often forced to surround parking lots to find empty parking lots, in the face of problems this requires a good information system so that motorbike parking users can find out information on the availability of parking spaces. Through this research entitled the design of a motorbike parking information system in a multi-storey building, it is expected to make it easier for users to park at Muhammadiyah University in finding a parking space. This research is done by making a design simulation by utilizing Arduino module components, Ethernet shield modules & infrared obstacle sensors, the working principle of the system is the infrared obstacle sensor installed at the entrance and exit on each floor whose function is to provide data to the Arduino then Arduino processes the sensor by sending data to the database, the database is used to store data and sensor values in the database that will be displayed in the Web browser which will be displayed on the monitor installed on the ground floor to notify the driver of the empty parking slot so as to produce efficiency BBM and time efficiency.

The General Election of the President, DPD, DPR, Provincial DPRD and Regency / City DPRD in 2019, in Indonesia, is carried out by an independent institution namely the General Election Commission (KPU), where there is a measure of the success of the holding by holding the principle of direct, general, free of secrecy. Another component of the election will be the implementation of contestants and voters. In the electoral factor, this is also a measure for success in the overall implementation process, which is a success if the participation of the community is high in the holding of elections. And conversely, if the community participation is low, one of them is the level of public trust in the organizer (government) decreases. Analysis of classification mining data with C4.5 algorithm places the prediction class "Present" and "Not Present" on the permanent voter list (DPT) taken from form C7 (voter attendance list form). C7 data was obtained from polling stations (TPS) located in the village of Wonokasian, Wonoayu District, Sidoarjo Regency, East Java. The number of datasets is 4249 instances, and the number of attributes is 10. With split datasets, for training data are 2965 instances, and testing data are 1284 instances. From testing, the testing data obtained the results of true or appropriate accuracy of 1151 instances (90%) and obtained incorrect or incompatible data as many as 134 instances (10%). This shows a good value for the results of 90% of the corresponding data in the prediction class in the Presidential Election, DPD, DPR, Provincial DPRD, and Regency / City DPRD in 2019.

In the text mining there are stages that must be passed namely the text preprocessing stage. Text preprocessing is the stage to do the data selection process in each document, including case folding, tokenizing, filtering, and stemming. The results of the preprocessing process can affect the accuracy of document classification. In documents Bahasa Indonesia, there are still often over-stemming and under-stemming, so improvements are needed in the stemming process. In this study, it is proposed to use sastrawi libraries to improve the results of previous studies that are still not optimal in the results of preprocessing, especially in the filtering and stemming process. From the results of the study, the sastrawi library is able to reduce over stemming and under stemming and a faster processing time compared to using a Tala stemmer.

In 2019, the government of the Republic of Indonesia issued a zoning-based policy for New Student Admissions (PPDB) from the level of elementary school (SD) to high school (SMA), especially for public schools. The policy is documented in Permendikbud No.51 / 2018. The government policy aims to ensure the equality of education and make prospective students not focus only on favorite schools. However, this policy raises new problems. One of them is that if the potential student has got a medium UN (National Examination) score or medium distance of the house to the destination school, then his potential to be accepted at the destination school is very small. It is even worse if the potential students do not know the lowest score and the farthest distance the destination school can accept. Thus, potential students will choose schools by only guessing without basing on valid data, so their chances of being accepted will be very small. This current research focused on Educational Data Mining at PPDB Public High School (SMA) in Jombang in the academic year 2019/2020 which aims to accommodate the needs of potential students to predict the destination schools based on their own grades and home distances using classification techniques of data mining. However, another problem emerged in this study. An overlapping data occurred where one data was also owned by more than one class. For example, a potential student of SMA Negeri 2 Jombang (SMAN 2 Jombang) has got a score of 80 in Bahasa Indonesia subject, which is the same as that of a student from SMA Negeri 3 Jombang (SMAN 3 Jombang). Data overlapping does not only occur in one data but almost all of the data. The data used in this study were 600 data, consisting of 308 from PPDB 2019 of SMAN 2 Jombang, and the rest were from SMAN 3 Jombang. The attributes used were the home distance from the destination school, overall UN scores, UN scores of Mathematics, Natural Sciences, Bahasa Indonesia, and English subjects. The algorithm used was a combination of Principal Component Analysis (PCA) with Logistic Regression (LR)-based Support Vector Machine (SVM) with Anova kernel. The validation applied 10-fold cross-validation and the evaluation of algorithm performance used the aspects of accuracy, precision, and recall. The results of this current study showed an accuracy of 94.33%, a precision of 96.28%, and a recall of 92.53%. The results were better than those that did not apply PCA (70.83% accuracy, 69.62% precision, and 76.62% recall). By PCA, data could be seen from another angle that could separate or differentiate one class from the others. Even though there were 100% overlapping data, none of them, from all attributes, was 100% exactly the same.

Makharijul huruf is the place of the letter hijaiyah (Arabic letters) from alif to ya. If someone mistakes in reciting a letter on al-Qur'an then the meaning of the word or sentence may be different from the meaning of the original word. Few learning media that provides information about makharijul huruf such as school academic books, books of tajwid al-Qur'an, etc. However, to make terms of visual and audio clearer we can use augmented reality technology as a learning media. Augmented reality for makharijul huruf requires a marker of hijaiyah in printing form. Tracking marker in this research using Natural Feature Tracking (NFT) method. In the application of learning this makharijul huruf will produce a 3D object visualization of the oral organs and audio sounds hijaiyah letters and explanations about makharijul huruf. The results of black box testing and beta testing states that this application can be accepted by users by obtaining a percentage of 91%. It can be concluded that applications built functionally have produced results as expected.

Green campus is the creation of a green ecologically friendly environment that leads to smart campus establishment. In this study, green campus status is revealed by applying cross-campus community collaboration under green transportation bus. The purpose of this study was to develop a real-time Android-based tracking system, using the V model approach, aimed at green transportation movements and accessibility. The global positioning system of green transportation is interconnected via a back-end server that utilizing web-socket to incorporate client and server communications. The results are passenger app that enabling the passenger to track green transportation movement, acquire green transportation meta-information, perceive campus routes, and send awaiting notification. Further results are driver app for green transportation drivers to choose which vehicle to drive, change driving status, recognize other active coaches, locate nearer passengers stops, and identify campus routes. The created mobile app has successfully experimented on Android smartphones such as Samsung Galaxy Mega J5, Lenovo A6000, Xiaomi Redmi 3, Asus 2 Zenfone Laser, and Samsung J7 Prime.

In the era of big data, many organizations are aiming to become more data-driven and increase their decision-making efficiency. Nevertheless, there is an insufficient investigation that explores the antecedents of data-driven decision making (DDDM) in the context of Malaysian Higher Education Institutions (HEIs). Therefore, the study examines existing literature and utilises the Big Data Analytics Technology Capability (BDATC) dimensions such as connectivity, compatibility and modularity to conceptualize a DDDM framework. The study utilises Resource-Based Theory (RBT) to highlight the key dimensions for BDATC and how these dimensions are being integrate in order to establish effective DDDM for excellent performance. The antecedents of DDDM is a relatively new approach that is documented in literature, where literature seems to be diversified in terms of offering theoretical and conceptual frameworks, together with a model that Higher Education Institutions (HEIs) can utilize. The study chooses HEIs that undergo Malaysian Research Assessment Instrument (MyRA) as the focus of investigation. The data was collected from the key informants of Malaysian HEIs. In conclusion, the contribution of the study is to highlight the influence of BDATC for DDDM to attain better performance of HEIs in Malaysia.

Internet of Things (IoT) has changed the industrial direction and open a new opportunity for the food business. The food safety business took this technological leap to increase food safety in the industry. The technological leap focuses on the improvement of traceability system in order to guarantee the appropriate level of protection for biological and chemical hazards in the poultry slaughtering. Consumers' concerns about food safety are the key to new technological businesses by using the internet platform and reengineer the computer system. The different business model for IoT provides a system building for new ventures. This paper aims to describe a new business based on a new internet technology development. An internet-based business on food safety notification for the slaughterhouse with regards to food safety hazards is the main business backbone. The system development will be based on a sensor and link with the android system that integrated conveyor system to detect the possible biological and chemical hazards. The future new business model of IoT system is integrated with HACCP sensors.

Mental disorders are a major cause of disability and death throughout the world every year. Indonesia has low mental health and is mostly experienced by adolescents. Indeed, recognizing the signs and symptoms of stress in adolescents early is a preventive measure before the condition worsens and causes many losses. Mental health service programs have so far been limited, both in schools and in health care centres. Facing such conditions, this study proposes a mobile application model that can be an early detection tool for adolescent mental health and information sharing between adolescents and teachers or health workers. The screening results will be followed up by the health service if a problem is found. This research builds a prototype of the mobile application to the modelling stage. The model is produced from the system requirements analysis, the model presented here is in the form of; Context Diagram, Entity Relational Diagram (ERD), Relational Diagram Table (TRD), Flow Chart and User Interface Design. Early mental health detection uses the Strength and Difficulties Questionnaire (SDQ). Data collection is done by interview, observation and study of literature. This information system can be used by primary health care and implemented in schools, making it easier for adolescent mental health screening.

The purpose of this study is to select the location of student boarding houses using Particle Swarm Optimization (PSO) and C4.5 optimization techniques. The source of the data was obtained by observing and giving questionnaires to 150 respondents who were lodging in the Pematangsiantar-Simalungun area. from the data set of 81 records and using 5 parameters of assessment ((C1) water cleanliness, (C2) Facilities, (C3) Transportation, (C4) Security, and (C5) Conditions) obtained the results of modeling using the C4.5 + PSO algorithm has better accuracy is 97.78% compared to the C4.5 model whose accuracy is 97.53%. Thus, it is evident that the PSO applied to the weighting of the C4.5 attribute increases the value of accuracy..

The existence of various PHP frameworks may become one alternative choice in developing a web application that PT XYZ wants to evaluate its Wisanggeni internal PHP framework in order to measure how far the design quality of Wisanggeni framework is working. An evaluation on PHP framework using object-oriented metric parameter and design quality is then conducted in this research. The results of measurement conducted using object-oriented metric parameters for each framework are evaluated with the Analytic Hierarchy Process (AHP) method to determine the best framework model design quality used as a reference for the development of Wisanggeni. This study also uses a combination of PHPDepend and PHPMetrics devices to measure the values of object-oriented metrics in each PHP framework. The research final result is that each framework has one value representing each framework's quality in which the quality of Wisanggeni framework is almost to the same with the Laravel and CodeIgniter framework.

The main problem in composite materials based on polymer arises when receiving dynamic loads resulting in initial cracks that continue to propagate. When crack on the metal, it can be connected by welding. Also, when a crack on concrete can be reconnected by grouting. While when crack in composite materials based on polymer, there is no special way to deal with cracks so far. The purpose of this research is to reconnect the composite materials based on polymer which has cracked and do the impact test (ASTM D6110-04 standard) is carried out to determine the impact strength and the amount of energy to break, tensile strength test, and observe the structure using Scanning Electron Microscopy (SEM). The highest of impact strength and the amount of energy to break, and tensile strength in sample A is 50% resin + 1% catalyst + 19% calcium carbonate + 25% fine fiber + 5% roving fiber, with an impact strength value of 23.89 Joules / mm² and a large amount of energy to break 130.67 Joules, and value of tensile strength is 7.22 kgf/mm². While observed microstructure by using SEM shows the crack that happened is brittle.

The more widespread use of concrete and the increasing development shows that there is a greater demand for concrete so a new innovation for concrete is needed in an alternative use of basic materials. Slag cement is the result of fine grinding of steel slag which has the properties of cement which can function as an aggregate adhesive in concrete mixtures and has a fineness level that is either equal or more than type I portland cement. This research aims to compare high quality concrete made from slag cement and conventional concrete mixtures. Concrete beam samples with the size of 20 cm × 30 cm × 240 cm, with 2D10 compressive reinforcement and 3D10 tensile reinforcement. The number of samples are 6 with a variation of 3 high quality reinforced concrete with type I portland cement and 3 using slag cement. Flexture test is by analyzing the behavior of beams due to loading, crack patterns, and visual results of the beam with slag cement. From the results of the research, at the same load of 8 tons obtained a maximum deflection value of 9.52 mm on structural beams with slag cement and 13.30 mm on normal structural beams, thus structural beams with slag cement have better rigidity. The crack patterns that occur is the flextural crack patterns that occur in 1/3 of the middle span with a number of 5 cracks and a maximum crack width of 0.218 mm that occurs in structural beams with slag cement.

As the need for blood transfusion increases, an improved blood stock management for blood transfusion is required. In terms of quality and quantity, blood transfusion is needed by patients with various health problems. Because of that need, it is urgent that the stability of blood stock be maintained to avoid possible excessive blood stock that leads to unnecessary blood disposal. For that purpose, prediction of blood demand is required. One of the blood transfusion units is PMI, a national organization dealing with social concern and humanity field. The objective of this paper is to make estimation of blood demand for PRC and WB at PMI Surabaya using UKF method. The simulation results show that the UKF method is effective with a high accuracy and an error of less than 4%.

We deal with the application of an unconditionally implicit finite difference approximation equation of the one-dimensional linear time fractional diffusion equations (TFDE's) via the Caputo's time fractional derivative. Based on this implicit approximation equation, the corresponding linear system can be generated in which its coefficient matrix is large scale and sparse. To speed up the convergence rate in solving the linear system iteratively, we construct the corresponding preconditioned linear system. Then we formulate and implement the Preconditioned AOR (PAOR) iterative method for solving the generated linear system. One example of the problem is presented to illustrate the effectiveness of PAOR method. The numerical results of this study show that the proposed iterative method is superior to PSOR and PGS, GS iterative method.

Tires are part of the wheel of the vehicle in direct contact with the road surface. Tires are the basis for supporting vehicle loads. The basic material of the tire is rubber so it has elastic and soft properties, strong but yet susceptible to taper and sharp objects. Minor damage to the tire will cause air leakage, and its can occur in all parts of the tire. This study discusses tire leakage caused by valve damage. Valve damage is caused by high pressure, lack of pressure, inner tire leakage or shock load collision which causes the tire valve to release. Reused tire damaged in the valve section can be repaired with modifications of the worn and damaged valve. The addition of plastic-coated compound to add strength and toughness of the valve, was applied to get the benefits of tire recycling. The added layer includes a plastic layer, compound and balloon layer. The three layers are tested to find out the layer that is able to increase the strength of the valve more significantly. Tire valve pressure testing which is coated with plastic can have greater strength than other composites.

The limitations of fossil energy sources are one of the most fundamental energy problems. Therefore, it is necessary to make power plants with alternative sources that are environmentally friendly and affordable. One effort that can be done is using water energy to drive turbines. This study aims to determine the effect of blade angle on the total power and efficiency produced by the hydrofoil water turbine. In this study using a two-stage hydrofoil turbine with NACA 64-212 standard blade. The turbine blade angle is varied by 4, 6, and 8 degrees. Water discharge is varied by 40, 50, and 60 L/s. The results show that the largest total power is 3.046 Watt, achieved at a 4-degree blade angle with a water discharge of 60 L/s. And the highest efficiency is 11.22%, achieved at a 4-degree blade angle with a water discharge of 40 L/s.

The potency of the ultra-low head hydro resource is quite huge in the world. In Indonesia, only 1.8% of the Pico hydro potency with head of less than 5m is utilized as electric resource [1]. Archimedes screw is one of the promising technology that could be used to extract this low head hydro resource. One prominent factor which is affecting the performance of the Archimedes turbine screw is the ratio of the hub diameter (d) to the diameter of the screw (D). In this paper, the ratio d/D were varied as 0.22, 0.29, 0.33, 0.42. In addition, flow rate (Q), were varied as well as 1.8 l/s, 1.4 l/s, 1.0 l/s. The blade configuration that used in this test is a single blade. The result shows that the highest efficiency is achieved with the diameter ratio of d/D = 0.42 with the eficiency off 40.23%.

Numerical studies using Computational Fluid Dynamics (CFD) of thermal decomposition of Palm Kernel Shell (PKS) have been conducted in a fluidized bed reactor under atmospheric pressure of nitrogen as fluidization gas. To investigate the effect of temperature, the fast pyrolysis temperature was varied in a range from 400 °C to 650 °C. Furthermore, the effect of PKS feeding rate was also studied in a range from 300 g/h to 1500 g/h combined with variations of nitrogen superficial velocities. It was found that the increase of temperature results in the greatening of conversion efficiency and non-condensable gas product yield. The maximum 60.5 % liquid/tar product yield was obtained in 500 °C. The increase of PKS feeding rate led to the reduction of conversion efficiency due to the thermal energy shortage for the decomposition process. However, the increase of PKS feeding rate could reduce the non-condensable gas product with the insignificant change in liquid product yield. The rising superficial velocity of nitrogen favoured the shorter residence time resulting in the increasing tar product yield.

Agro industry is one of strategic industry that supported by a potencial resources from agriculture, fisheries/marine, livestock, farm, and forestry sectors. Energy supply with affordable prices are factors of the agro industry sustainability. The purpose of this study is to ensure the availability of energy in the agriculture industries, the pulp & paper industries, the sugar industries from sugar cane, and the fish canning industries. The stages consist of identifying the needs and availability of raw materials, energy, and formulating the recommendations. A literature study from relevant sources and analysis of efficiency of energy is used to improve the industry competitiveness by using Net Energy Ratio (NER) calculation. Around 38% of the agro industries energy needs are from by-product's biomass. Biomass fuels that usually using by agro industries are palm shells, wood chips, bagasse, black liquor, or depending on the by-products. Aggregately, agro industries energy needs (2017) amounted to 15,711 million TOE. Based on the capacity, the final energy needs of selected agro industries amounted to 25,818 millions TOE that equivalent to 11% from the national final energy demand of 238.8 millions TOE and 30% of the final industrial sector energy needs of 87 millions TOE in 2025.

This research aimed at validating the fully raster-based suitability modelling for sea cucumber (Holothuria scabra) that has been created for the waters of Kiowa Bay, Enggano Island, Bengkulu. To validate the model, eighty-four sea cucumbers were cultivated on two different suitability classes. The field test phase includes setting the cultivation cages; measurement of sea cucumber weight; measurement of water quality parameter; and substrate analysis. Sea cucumbers were put into 2 cultivation cages (Cage 1: highly suitable, and Cage 2: less suitable), and for each cage, it was divided into 3 sub-cages. Before weighing, the sea cucumber was taken out from the water and then put into a tray layered with tissue, and left for 30 seconds. Measurements were conducted at the beginning of the study (t₀) and then carried out every three weeks until t₃. The data analysis includes the Specific Growth Rate; Daily Growth Rate; Absolute Growth; and Survival Rate. The results showed that the Specific Growth Rate; Daily Growth Rate; Absolute Growth; and Survival Rate at Cage 1 (ie 0.5%; 0.88 gram; 62.28 gram; and 85.71%) better than the same parameters at Cage 2 (ie 0.34%; 0.64 gram; 45.33 grams; and 69.05%). These results indicate that the raster-based data for sea cucumber suitability model has advantages over the sea cucumber suitability model analyzed using vector-based data.

As a learning facility which has interaction inside it, a classroom should be comfort in term of visual and thermal. Visual comfort can be obtained by the presence of sunlight through opening. While thermal comfort is the air temperature that influenced by building material used. Room 21 (R.21) of Gedung Kuliah Bersama V (GB V) Universitas Bengkulu (UNIB) is a classroom that mostly used by Architecture Student for receiving lecture from morning until afternoon. To identify the visual and thermal comfort of R.21, computer simulations with Ecotect program was did to get the room lighting and temperature condition in level 60cm above the floor. The result shows that natural light in R.21 GB V UNIB is comfortable enough with 630 lux of average daylight levels. While the temperature in R.21 GB V UNIB is still not comfortable because the average mean radiant temperature is 26,6°C. Visual comfort obtained along with high temperature because R.21 GB V UNIB is located at the corner of the building that have glass window in the east and north of the room.

Maximum power tracking for solar panel has been explored since long time ago for increasing solar panel output. Various methods have been implemented from combinational based algorithm to intelligent system, including the use of fuzzy logic. This paper demonstrates the implementation of fuzzy logic on the arduino microcontroller system. A maximum power tracking prototype is developed, and experimental assessments are conducted. Arduino uno is used for the microcontroller, small scale mechanic is developed driven by two electric motors, and 13V solar cell is used as the object. The assessments show that fuzzy logic algorithm is successfully implemented in arduino, the solar panel output is enhanced up to x% and the solar panel efficiency is up to x%.

Ground monitoring can be used for observing ground structure changes or other specific objectives. Rather than using expensive ground penetration radar, the ground propagation characteristics may be able to describe the structure changes. Ground propagation can be evaluated by using a simple radio transmitter and receiver. This paper employs a vector network analyzer (VNA) to explore ground propagation characteristics. As the available VNA works from 500 MHz to 1 Ghz, the paper proposes how to select suitable frequency for ground monitoring. Tangential comparison between mathematical model and direct measurement is proposed. The result shows that the selected frequency exerts promising propagation characteristic even dough signal diffraction causes irregular signal strength at the receiver.