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The 2^nd International Conference on Engineering and Applied Science (INCEAS) to be held in Shantika Premier Hotel Yogyakarta, Indonesia on November 16 2019. The 2^nd INCEAS 2019 is hosted by Faculty of Engineering and Science Universitas Muhammadiyah Purwokerto Indonesia. The objective of 2^nd INCEAS 2019 is to bring together researchers, scientists, academics, and engineers in the area of Civil Engineering, Chemical Engineering, Electrical Engineering, Informatical Technology Mechanical Engineering, Industrial Engineering and Applied Science from all over the world.

This conference program is highlighted by four invited keynote speakers & plenary speaker:

• Assoc. Prof. Ahmad Ruslan Mohd Ridzuan from Faculty of Civil Engineering, Universiti Teknologi MARA, Malaysia.

• Asst. Prof. Chaleeda Borompichaichartkul, Department of Food Technology, Chulalongkorn University, Thailand.

• Haryanto, Ph.D, Department of Chemical Engineering, Universitas Muhammadiyah Purwokerto Indonesia

• Dr. Aqsha from Dept of Chemical Engineering, University Technology Petronas Malaysia.

There were 71 papers which were presented at the conference. The detailed information about the conference is available on the website http://inceas.ump.ac.id

Editor in Chief, Editorial Board, Advisory Committee, Steering Committee, Official Committee are available in pdf.

List of Conference photographs are available in pdf.

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.

Sound recognition that learns about the source of a sound, which is then used as a reference in learning. Sound recognition referred to in this study is the sound produced from the sound of a motorcycle engine. From the sound of the engine, the sound is then studied more and the results of the recorded sound are then used as objects of research. The management of motorcycle engine sound is carried out using Matlab and assisted by using the HMM (Hidden Markov Model) method with GMM (Gaussian Mixture Model) where HMM is used as chain pattern formation and GMM is used as a sound matching pattern. In this study indeed really learns from every sound of a motorcycle engine that will be used as a sample in the laboratory. From the sound of a motorcycle engine that is heard by the human ear can already indicate the conditions and eligibility limits of the motorcycle. Therefore, from this study trying to find answers to each condition and type of damage from a motorcycle through the sound of a motorcycle engine. With this research, it can help the vehicle owner, because the results of this study warn the vehicle owner to immediately conduct a scale check at the nearest official workshop and from this study also provide benefits and benefits for researchers and motorcycle vehicle owners to find out the condition of the damage early vehicles and help prevent them so as not to cause severe damage which can add air pollution in the city of Dili, East Timor. And the results of existing research are very helpful both for researchers, mechanics and motorcycle vehicle owners.

The growth rate of the number of motor vehicles has a tendency that is always increasing. The increase in the number of motorised vehicles which is not followed by the addition of roads is a cause of traffic jams on the highway. This study aims to design an application system that is used to determine the level of traffic density on certain road sections by using the background subtraction method to classify and count the number of vehicles passing on that road section. From the results of software testing, three types of vehicles can be classified, namely motorcycles, cars, and trucks/buses with an accuracy of 96%, 83%, and 87.15%, respectively.

The air and environment quality have big impact for chicken health. The most dominant component polluting environment of chicken coop is ammonia which is produced by chicken manure. Other environment components that affect chicken health are including temperature and humidity of the air. The problem faced by chicken farmer is that the decreasing of chicken health which leads to the death caused by the bad air and environment condition. These environment variables were usually predicted by the farmer manually. The objective of the publication is to monitor the ammonia, temperature and humidity electronically by using computer-based systems for a chicken coop. The developed systems used DHT 22 sensor as a temperature detector and MQ-135 sensor as ammonia gas detector. The systems also able to control the fan and lamps to maintain temperature and humidity of the chicken coop stable. Data from the sensors then were processed by NodeMCU ESP8266 microcontroller and then was displayed on 20x4 LCD. Afterward, the data was sent to the Android smartphone by using social networking platform Telegram for distance notification systems. Testing results showed that the developed system works well.

The micro-hydro power plant is an alternative to provide electricity especially in regions that are far from the PLN network. The micro-hydro power plant uses water flow to generate electricity. The micro-hydro power plant uses a gate that is utilised to distribute water to the turbine. However, the watergate is commonly controlled manually which results in drawbacks such as unfavourable stabilization and the need for direct monitoring that requires lots of constant expense as well as labour. The objective of this research is to make equipment that can work automatically in substituting a labourer's role in opening and closing the watergate according to the required water flow. A water flow sensor is used to measure the water flow, the result of the sensor reading is carried on to microcontroller (set up as Fuzzy Logic Control) and Controler sends the control signal to the actuator (DC motor). The Fuzzy Logic method as the watergate controller is used as the research's prototype system. Based on the data acquired by the research that has been done, the system is oscillated towards the change of the water flow. However, it's capable to approach the set value point. It can be seen from the water flow trial with a set point of 3 L/min the steady-state response of system undergoes at range of 2,92 L/min–2,95 L/min and with a set point of 3,5 L/min, the steady-state response of system undergoes at range of 3,44 L/min - 3,47 L/min.

Secondary batteries are commonly used as the storage of energy produced by solar panels. However, the utilization of a battery without proper management can cause damage due to overcharging and over-discharging. This study aims to design a battery management system (BMS) on a Valve Regulated Lead-Acid (VRLA) battery. The method used was the battery State of Charge (SOC) estimation using Coulomb Counting (CC) method. The results showed that the BMS was successfully designed and implemented to automatically cut-off the current when the SOC value is 100% (charging limit) and 20% (discharging limit).

Residential loads are electronic equipment that is often used at home. Residential loads are supplied from two sources, they are solar panel and the State Power plant. Selecting the supply load source, so an automatic switch system is needed from the load. Optimizing residential load resources and avoiding overloading, load balancing techniques are needed. The switch system uses a relay, determined by the solar panel power output. This research discusses the design of automatic load switch systems for residential loads from solar panels and State Power plant using Artificial Neural Networks (ANN). ANN control system that is arranged using ANN Backpropagation consists of 4 inputs, four hidden layers, each consisting of 4 neurons and one neuron in the output layer. In this research, to determine the network that has been formed to provide changes of load. The results of testing that the parameters used to get the smallest error rate in the process of setting an automatic power load switch is best to use a number of repetitions of 2000 times with an error percentage 5.3%. Artificial Neural Networks can experience convergent failure or not close to output because the initial guess is not good. Initial experiments with actual solar panel data with as many as 98 data produced non-convergent output values. The solution to improving the initial experiment is to simplify learning data 40 data produces convergent output.

Smart Controlled Adjustable Power Supply is an automated power supply device in which the Voltage output from the device can be controlled using Digital Potentiometer as a voltage feedback manipulator and can be monitored using PC. Voltage and output current can be controlled in accordance with the specifications of the desired voltage 0-30V DC with 0.01 V resolution. This Study will show how Digital POT can change the output voltage of the LM2576 Module and show the correlation between the BIT number of POT and the Voltage output. Afterward, the device will be controlled and monitored via NI LabView so it can easily be accessed by everyone and can compete in industry 4.0 due to its accessibility. There will be some test runs to prove the designed device is working properly and match the desired spesifications.

Electricity needs in Indonesia are getting bigger, following the increasing population. Today, most of Indonesia's electricity needs providing by PLN. However, most PLN electricity sources are non-renewable energy sources. Indonesia is a tropical country that receives sunlight almost all year long, so it is possible to use solar as an alternative energy. We designed an automatic switch system that could switch the electrical energy source from solar panel to the power plant from PLN if the power from the solar panel were insufficient. The automatic switch controller in this system uses backpropagation neural networks. The artificial neural network (ANN) model in this study consisted of two inputs, two hidden layers, and one output. The residential loads used are lamps, rice cooker, and fan. From the research results, the optimum epoch value is 2000, with an automatic switching accuracy value reaching 98.6%.

Internet of Things (IoT) is a concept that aims to broaden the benefits of continuously connected internet connectivity. The IoT concept infrastructure can be built using existing digital communication standard protocols such as Wifi, Zigbee, Bluetooth, but these three standards have limitations in terms of distance and power consumption. The LoRa communication protocol is a special communication standard that emphasises the aspects of long-distance, low power, low data transfer at relatively low prices. It utilises a gateway to forward messages from nodes. This research focuses on the implementation of open and low-cost LoRa gateway, which will be installed in the area of the Diponegoro University Vocational School Semarang. Communication functionality is tested using The Things Network server. The coverage range of gateway was tested by recording RSSI and SNR values received by the gateway. Test results show RSSI readings above -100 dBm at a radius below 100 m from the gateway. RSSI and SNR values appear to drop dramatically in low elevation conditions, especially if the position of the node-gateway is almost obstructed by the ground surface. The surface obstacle in the form of dense trees and thick buildings also contribute to reducing the quality of signal reception.

Light intensity is one of the many factors that can influence the power output of a solar cell. In this research, light convergence method is performed by using a Fresnel lens to increase the light intensity that are passes through the solar cells. 2 solar cells are used for this research. One of them is paired with a Fresnel lens positioned perpendicularly at a distance of 5cm. The output from both solar cells are then compared. The solar cell paired with the Fresnel lens contains a higher power output by up to 40.29% at 13.10 o'clock in the afternoon compared to a normal solar cell. However therein lies a decrease in power output at 10.00 – 10.30 o'clock and 13.30 – 14.00 o'clock by up to -30.65% because shadows from the Fresnel lens relative to the sun's position affects the light intensity a solar cell receives. Results from 3 days' worth of tests shows that at 10.00 – 14.00 o'clock, the solar cell paired with a Fresnel lens retain a higher average power output of around 6.08% compared to a solar cell without one.

The on-grid solar power system is a solution that can fulfil the ever-increasing demands for electricity. The important role of a solar grid system is to save and reduce the cost of electricity, particularly those with high energy usage in the daytime. This research aims to design a configuration for placing a solar grid system in the housings for the city of Bandung, Indonesia. The research method used is to collect solar radiation data, tool specifications, and other data needed, and then proceed to optimise on these bases. On-grid solar power system design requires the software HOMER. HOMER is used to find the correct system configuration, payback period, and the best NPC technically. Based on the result of optimization, the system configuration can fill the needs of electricity by about 42 % for daily consumption with a total NPC cost of around thirty eighty million one hundred thousand with four years payback period.

Speed, security and accuracy of a goods transportation play an important role in the logistics industry. This study proposes a logistics vehicle monitoring system that are consists of automated locking and tracking system to ensure the security and on-time arrival of the transported goods. Global Positioning System (GPS) combined with Global System for Mobile Communication/General Packet Radio Service (GSM/GPRS) internet connection method was utilized to provide real-time monitoring using an Android application display. The automatic locking command was successfully executed within 30.50 s delay. The logistics vehicle location accurate to 16.7 m was pinpointed within 28.72 s delay. The warning was successfully given when the logistic vehicle was moving away at minimum 500 m from the destination point to ensure the delivery route was exactly followed.

Hyperspectral anomaly detection aims at identifying unique objects with different spatial and spectral appearances from its surrounding pixels. One of the widely used conventional methods is Collaborative-Representation-Based Detector (CRD). CRD approximates each pixel on the background that can be represented by neighboring pixels, while the anomaly pixels cannot be. The detection image generated from this method is quite satisfying since it can detect anomaly pixels quite accurately. However, the resulting detection images still contain a lot of pixels which are not anomaly even with tiny intensity values. In this study, we apply the Root-Mean (RM) adjustment threshold to filter the false-positive pixels in the output images of CRD, so that it gives more accurate results. In the experiment, six hyperspectral data with the corresponding ground truth images are used. The results show that after applying the RM threshold, the accuracy increases with the decrease of the six RMSEs in the range of 31.51 – 63.58%.

This paper presents a coil inductance design for low power hybrid wireless power transfer (WPT). The proposed coil inductance design of transmitter and receiver circuits of 7.1 μH are designed using handmade copper wire structure. Several coils with the variations of wire diameters, coil loop radius, and numbers of loops are proposed to find optimum structure in the low power hybrid WPT. The optimum coil structure is obtained at wire diameter of 0.5 mm, 2.25-inch coil loop radius and 1 MHz operation frequency. The measured transceiver coil design has exhibited peak power transfer efficiency (PTE) of 33.1% at 1 cm distance between Tx and Rx. Therefore, the proposed coil design is applicable to low power hybrid wireless power transfer circuits.

This research analyses the use of Arduino Uno as a controller, replacing the industrial based controller on the oil and gas industry with the plant: one of the control loops in the Refinery Fuel Oil Complex I PT. Pertamina (Persero) Refinery Unit IV Cilacap, Indonesia. Research is done by making a simulation plant using industrial-scale instrumentation with the Arduino Uno as the controller, and compare the results with the controller for the actual plant. The result is Arduino Uno is able controlling industrial-scale plant-based instrumentation for one control loop that was tested and was able to eliminate the difference between Process Variables and Sets Points at different control modes are proportional to industrial class controllers by using the Proportional, Integral and Derivative (PID) algorithms together with the combination.

Music comes in many different genres and styles according to its content, which is easy for a human listener to distinguish but hard for a machine to do. This limitation encourages the creation of a system that can help a computer to classify music genre better. This paper proposed a simple method that can classify music genre on a classical, jazz, pop, and rock using frequency analysis feature extraction and ANFIS classification method. There are two types of ANFIS model, which is model A and model B. The most accurate model, is model A with an average accuracy of 53,33% across all genre. The best model for single genre classification is Model B with 80% accuracy for Classic type.

Feature selection is one of the pre-processing stages of classification carried out by selecting relevant features that affect the results of classification. The advantage of feature selection is that it increases the value of accuracy. Data mining in the medical world has excellent potential for knowing hidden patterns in medical data sets. However, medical data sets often have large dimensions and have irrelevant features that can decrease the performance of the algorithm. This study aims to analyse the performance of the rough set approach as an algorithm used for feature selection in breast cancer diagnosis cases. This study conducted a feature selection process on the Wisconsin Breast Cancer (Diagnostic) Data Set provided by the UCI machine learning repository. There are several steps taken in research to realize these goals, such as data pre-processing, feature selection, data randomization, classification and performance evaluation. The result shows that feature selection using the rough set of methods has proven to be effective in reducing a large number of features in the data set.

Multilevel thresholding problems based on Otsu criteria are discussed in this paper. One weakness of the Otsu method is that computational time increases exponentially according to the number of thresholding dimensions. In this paper, a modified Particle Swarm Optimization (PSO) algorithm called Autonomous Groups Particles Swarm Optimization (AGPSO) is proposed to reduce two problems trapped in local minima and a slow convergence rate in solving high-dimensional problems. AGPSO is used for multilevel thresholding image segmentation. The performance of AGPSO is compared with standard PSO on three natural images. The parameters used to compare the performance of AGPSO and PSO are SSIM, PSNR, Computation Time, optimal threshold obtained from each algorithm. From the experimental results show that AGPSO is better when compared to PSO in image segmentation, from the resulting fitness value and higher SSIM and PNSR values.

In general, system security has become a crucial element in the digital aspect. Technically, evaluating the system there are aspects, one of which is by conducting a security assessment. Specifically, each system that will be evaluated is the essence of vulnerability search. The information security assessment is a form of awareness regarding cyberattacks that always increases from year to year. The assessment process can be carried out by an internal team and/or external auditor. The stages of evaluation by internal teams are certainly different from those of external parties. External auditors in conducting assessments need to learn or get as much information as possible related to the target, which in this case is in the form of a subdomain. Therefore, we need applications that support effective and efficient Information Gathering to assist in analysis and reporting. There are still many Information Gathering applications that do not include reporting and data validation systems. In this study, it is proposed to develop applications to support the Information Gathering stage which makes it easier for Cyber Security researchers/analysts.

One of the labor problems in Indonesia is the occurrence of mismatch (incompatibility between education and job). The incompatibility of education and job (labor market) can be categorized into several criteria such as vertical mismatch, horizontal mismatch, overqualification, under qualification, over skilling, under skilling, credentialism and economic skills. In several countries, analysis of mismatch between education and labor market can be used with several methods such as the Maximum Likelihood equation, the Mincer-type income equation, and the use of clustering algorithms in data mining. Indonesia can adopt a method of measuring the mismatch between education and labor market which suitable with the condition in Indonesia. The use of the K-Means algorithm or the hierarchical clustering algorithm will be able to see how much mismatch is occurring in Indonesia. Clustering is carried out referring to the Republic of Indonesia's Presidential Regulation No. 8/2012 and the Indonesian Classification of Work (KBJI).

This research uses a contrast stretching method to improve the detected object image. This process is needed because of the lack of lighting in the room so it is difficult to identify properly. This research develops an image object change detection system to detect the movement of objects contained in a room through a Closed Circuit Television (CCTV) camera which is conducted simulations using a webcam camera using a template matching method with normalized cross-correlation techniques. The results of detecting changes in image objects are then made to compare between the reference image and image before there is an object change with the image after the object changes. System testing is carried out at a certain time, namely 07.00-17.00 WIB. The level of accuracy to identify the detection of changes in image objects using the template matching method with normalized cross-correlation technique is 85% for the category of no change in min (0.01025) and max (0.02088) and changes in min (0.01640) and max (-0.00513).

Color is one of the elements to determine the level of maturity of the fruit because each level of maturity of the fruit has a different color level. At present, the dragon fruit is only classified based on a visual analysis of the skin color of the human eye. This study aims to classify dragon fruit using image processing with the naïve Bayes method based on HSV color space. The color feature used in this study is RGB which has been converted to an HSV value, after getting an HSV value then classified using the naïve Bayes method. Image data used amounted to 120 training images and 30 test images. The results of the classification of dragon fruit using the naïve Bayes method based on HSV color space can show an accuracy rate of 86.6%.

The Order Fulfillment Process (OFP) is one of the core business processes in an organisation. OFP in a manufacturing company, the wide range of activities involved is carried out by people from different functional units. OFP is complicated and demands activity elicitation and coordination. Hence, it important for companies to re-engineer their OFPs to support their activities for the better. Oil distribution manufacturing is a company that acts as a manufacturer of Coolant Brake, and Radiator in Indonesia needs an application to fulfilled all its business process activities. In this research, the authors have elicited requirements of order fulfilment in this company used elicitation and collaboration methodology to gain knowledge about the user's requirement or need. From this research, an order fulfilment application that has been computerised has been produced following their needs to support organisation activities for the better.

Smartphones have an architecture with integrated components. Maintain the process of procuring digital goods on smartphones when asking for special assistance. According to the National Institute of Standards and Technology the process of procuring digital evidence on mobile devices There are 5 levels of acquisition: Manual Extraction, Logical Extraction, Hex Dumping / JTAG, Chip-Off and Micro Read. Which means buying digital evidence using logical acquisition methods or logical extraction still approved in SNI ISO 27037: 2014 also supports the process of procuring logistical permits in Special requirements, limited space. Dengen uses the live procurement method for logical acquisition on smartphones using AFLogical OSE can be obtained digital proof in the form of Contact List, Call Log, SMS and MMS. The use of digital proof Larons can be obtained through basic data from the application installed on the smartphone.

Rice (Oryza sativa L.) is a very important food crop in the world after wheat and corn. It is also a staple food for most of the world's population, especially in Asia, like in Indonesia until now. In 2014 to 2018, rice productivity tended to change dynamically. In 2018, rice productivity in Indonesia was 51.92 (Ku/Ha). This research was conducted to classify rice productivity in 34 provinces in Indonesia in 2018. The data used were sourced from Statistics Indonesia. The method or approach used in this study is the K-Means cluster algorithm to classify rice productivity data by province in 2018. The results of the research are; (1) There are 19 provinces included in cluster 0 (Medium), (2) There are 4 provinces included in cluster 1 (High), and (3) There are 11 provinces that are included in cluster 2 (Low). Based on the results of the study, it was proven that there were 4 provinces in cluster 1 (High) they are West Java, Central Java, East Java and South Sulawesi, with the highest rice productivity. Three of them were on Java Island. It shows that Java still dominates the productivity of rice plants.

The Javanese language has various forms of affixed words. It makes people from other regions find it difficult to understand the Javanese language. One of the ways to understand the Javanese language is by studying and understanding Javanese vocabulary in the Javanese language dictionary or learning directly from ones who master the Javanese language. Both offline and online dictionaries have not been able to translate affixed words. This research used Nazief and Adriani Algorithm to find out the stems/root words in the Javanese language. The objective of this research is to apply the Nazief and Adriani Algorithm in stemming affixed words in the Javanese language. The subject discussed in this research is the application of stemming affixed Javanese words by using Nazief and Adriani algorithm. The stages started with identifying the affixes in the Javanese language. Nazief and Adriani algorithm has five steps those are detecting words that have affixes, cutting words that contain inflection suffixes, derivation suffixes and derivation prefixes, and last recording. The result of this research is a stemming application for affixed Javanese words that applies Nazief and Adriani algorithm method. Based on the accuracy test, it appears that 93.6% of words are accurate from the total of 219 words tested.

The balance of food consumption plays a crucial role in the health and quality of metabolism in the body, especially for people with diabetes, because the balance of nutrients in the body is not balanced. But even for healthy people, it is necessary to maintain nutrition in the framework of a healthy lifestyle. To determine a healthy diet is not easy, especially food, which is a source of energy. By building a case-based reasoning (CBR) system, it can solve this difficulty. The flow of this system development includes 4R (retrieve, reuse, revise, retain). The work system of CBR is a new case having similarities with situations that have already existed (previous problems), so the solution has similarities with the earlier issues. The attributes used are age, gender, weight, height, and activity. This system will significantly help the community in determining the right calorie diet so that the body's health is maintained.

Stress can be recognised by observing changes in physiological responses on the human body. Wearable sensors for stress detection are becoming more prominent in recent years due to their functionality and non-intrusive nature. By utilising data from wearable sensors, we have developed a personalized stress detection system. Our system performs classification on stress level using multimodal data from wrist-worn device Empatica E4 wearable sensor. We implemented three different classification algorithms: Logistic Regression, Decision Tree, and Random Forest and used four-class classification conditions: baseline, stress, amusement, and meditation. By evaluating the performance of the system, we demonstrate that our system can perform the best and consistent personalized stress detection using Random Forest classifier with the accuracy of 88%-99% on 15 subjects.

Farmers are the main actors in agricultural development, have a major contribution in realizing Indonesia's agricultural vision. To support the realization of agricultural production and productivity targets, the government's supports is by issuing policies to provide subsidized fertilizer assistance. The criteria for farmers who are eligible to receive subsidized fertilizer assistance are having land less than 1.9 hectares, have been members of farmer groups, and having work as a farmer or a private employee. Data collection was carried out using the method of observation and interviews with farmer groups in Gunung Kidul. Data classification is done by applying the C4.5 algorithm to 300 data of prospective farmers receiving subsidized fertilizer assistance. Application development includes interface design, making data flow diagrams, implementation and testing. From the research that has been done by applying the C4.5 Algorithm for farmer data, there are 300 data with 113 training data. Produce a data classification of farmers who are eligible to receive assistance at 95,58% accurate and targeted to the needs of farmers. This means that the C4.5 algorithm can be used as a classification for determining the eligibility of farmers to receive subsidized fertilizer.

Reading of Al Quran is an obligation for all Muslims. Lack of knowledge about the knowledge of recitation in reading the Al Quran is certainly a problem. The purpose of this study makes it easier for everyone to learn the law of recitation, especially Madd Lazim Harfi Musyba in the Al Quran verses. The method used is one of the deep neural network methods, namely Convolutional Neural Network (CNN), as real-time detection of the law of Madd Lazim Harfi Musyba, implementation of the method using the help of Tensorflow GPU (Graphic Processor Unit) library. The results of trials with the Deep Convolutional Neural Network model show the detection performance of 9 verses with an average accuracy of 93.25%. The conclusion is that the training data on the CNN model is very reliable in detecting the Mad lazim harfi musyba law. Therefore this system can be used to assist in applying the Mad Lazim Hafi Musyba legal recitation while reading the Al Quran.

Magnetic resonance imaging (MRI) is the imaging technique used to diagnosing brain tumor disease. Early diagnosis of brain tumors is an essential task in medical work to find out whether the tumor can potentially become cancerous. Deep learning is a handy and efficient method for image classification. Deep learning has been widely applied in various fields including medical imaging, because its application does not require the reliability of an expert in the related field, but requires the amount of data and diverse data to produce good classification results. Convolutional Neural Network (CNN) is the deep learning technique to perform image classification. In this paper, we compared two model CNN find the best model CNN to classify tumours in Brain MRI Image and at the end, we have trained CNN and obtained a prediction accuracy of up to 93%.

The unequal access to internet communication infrastructure in most parts of Indonesia can cause difficulties for people in the area to communicate. As an alternative communication, the mobile ad-hoc network requires a reliable routing algorithm. Quality of service is vital to address the problem of communications in the mobile ad-hoc network. This study analyzes the quality of service routing protocol babel on a mobile ad-hoc network. Test carried out using 3 scenarios, namely testing feasibility condition, self-healing, and delay, jitter, packet loss, and throughput on multihop condition. Values delay and jitter generated by the scenario testing conducted according to the standards TIPHON into the category of a very good and good. In the packet loss data capture value generated by the scenario testing conducted according to the standards TIPHON into the category of good and bad, but most of the values obtained into the bad category. At throughput data capture value generated by the scenario testing conducted according to the standards TIPHON into the category of good, medium and bad but mostly the value obtained in the category of good.

The use of smartphones to play mobile games is increasingly being used by everyone from children to adults. Along with the rapid development of the game industry, game engine software is now popping up, one of which is Construct 2. Construct 2 is an HTML5-based game maker software that is devoted to the 2D platform. Games can be a medium for cultural preservation in a country. One of them is Indonesian culture that needs to be preserved is wayang culture. This adventure game will raise a cultural puppet character named Hanoman, Hanoman is a figure in the form of a white monkey who acts as a character in helping Rama to save Shinta. This Hanoman adventure game in carrying out missions on each level will face the enemy characters who must be defeated to be able to open the next level. In this game, there are 3 levels where each level has different difficulties so that it can provide challenges for its users.

Pond cultivation is one of the contributors to foreign exchange and employment in Indonesia. The results of pond aquaculture production in Indonesia, according to statistical data in 2016, amounted to 3,012,467 tons, and the area of fish ponds in Indonesia in 2016 was 674,135 ha. The factors that lead to crop failure are illness, theft, poor water quality, and natural disasters such as floods. This research provides a solution called the Internet of Things Ponds (I-Tamb). I-Tamb applies the Internet of Things (IoT) technology to monitor water quality and the pond environment by installing several sensors. This study also aims to reduce crop failure and make it easier for farmers to market their crops. The cloud server receives sensor data in real-time. I-Tamb Apps produces information that can be used by farmer farmers as material for decision making. I-Tamb also facilitates the sale of crops in the form of a marketplace called the I-Tamb Marketplace. The output of this study is the design of an IoT-based pond water quality monitoring system on mobile and web applications.

Transportation is a major problem for newcomers in certain places. Types of transportation and trails make newcomers confused when they want to visit a certain place. There are several media that can solve the problem, but the limitations of the media make it difficult for newcomers to find the right track in the city, for example in Purwokerto city. One of the media that can be used is multimedia-based media. In this case, it can be created using Adobe Flash CS5. This software can be used to create animations about urban transport vehicle lines in Purwokerto. Multimedia applications make users know information that is accurate, precise, fast and interesting.

Catfish (Clarias gariepinus) is a species of freshwater fish that has good prospects for cultivation. This type of fish has a fast growth rate, is able to adapt to a bad environment and is easily cultivated. Water quality is the main element that influences the level of fish life. However, catfish deaths often occur when water quality is in certain conditions. Fish mortality can be predicted using an appropriate system so that it does not greatly affect the cultivation process. This research has succeeded in developing a prediction system for catfish mortality as a result of the water quality used for catfish farming. This system is based on case-based reasoning. The matching process starts by entering water quality condition variables such as Temperature, pH, Ammonia, Nitrite, and Dissolved Oxygen. Features entered by the user will be referred to the knowledge base. The system will look for a base case that has been indexed before. The similarity calculation with the highest value is used as a prediction of the effect of water quality on the mortality rate of catfish farming. The similarity of the test cases shows that the new case has a similarity level of up to 80%.

The antimicrobial activity of lemon basil (Ocimum × africanum Lour.) has been described. This activity can be elaborated further and possibly applied for natural foods preservative. In this study, the constituents of lemon basil essential oil were analysed, and its preservation potential on the tofu was evaluated. The essential oil was distilled from dried plant materials using a steam and water distillation process. The constituents of essential oil of lemon basil were analysed by Gas Chromatography-Mass Spectroscopy (GC-MS) technique. Its application for preservation of tofu was evaluated based on its capacity in inhibiting the growth of bacteria on the tofu as well as the physical observation of the tofu during ten days of preservation at room temperature. The lemon basil essential oil constituted of 21 constituents, with a high fraction of oxygenated compounds, including neral and geranial, were detected. Lemon basil essential oil at an optimum concentration of 3.125 mg/ml inhibited the bacterial growth on the tofu during storage and improved its shelf life up to 4 days.

Batik is visual art that integral to the cultural identity as well as illustrates the life values upon which the life of the community is laid. It uses a technique of wax-resist dyeing applied to whole cloth. This research aims to know the composition of olive oil that required on batik Klowong and to know its effect on the results. The research used both qualitative and quantitative methods such as ingredients measurement technique, questionnaire distribution and voter calculation. The wax for batik Klowo ng consists of olive oil, resin, and white paraffin. The beeswax is an independent variable that is varied in the composition for five different samples (10 grams, 20 grams, 30 grams, 40 grams, 50 grams). The sharpness of the motifs is visually analysed by six respondents. The results showed that sample D and E have better quality than the other samples. While sample A has the highest level of motifs sharpness.

Ginger (Zingiber officinale) has bioactive components such as shogaol and zingerone which are able to mediate cardiac contractions, are antioxidant, antiproliferative and apoptosis. To increase the economic value, it is necessary to develop a process of extracting ginger active compounds through subcritical water. The superiority of hydrothermal extraction by using water is easy to get, cheap, abundant availability, high purity, non-toxic and easy to handle. This study aims to obtain data on the mass transfer coefficient of the extraction process of ginger bioactive compounds such as shogaol through subcritical water. These data are very much needed in the design and scale-up of the extractor tool. The results of the study show that hydrothermal extraction using subcritical water can increase the content of Shogaol compounds, compared to conventional extraction processes such as soxhletation, percolation, supercritical fluid extraction, microwave extraction, and ultrasonic extraction. Mass transfer coefficient (Kla) in the model mass transfer extraction of shogaol, ginger using subcritical water respectively 3,7503 s⁻¹, 3,6912 ^s-1, 0.31435 ^s-1.

Gaultherin in gandapura can be extracted using hot water and calcium carbonate, followed by solvent extraction using acetic ester hydrate at a temperature of 100 °C. However, the process yields only 4 g/kg of fresh leaves. A technique of simultaneously gaultherase enzyme inactivation and gaultherin extraction with ethanol solvent should be studied. Preliminary studies of Gaultherin extraction with ethanol has been done and it is able to obtain gaultherin up to 14.46% at pH 8. This study will examine the development of the process photo-extraction-UV and osmosis dehydration simultaneously. The advantages of this process are (i) the gaultherase enzyme experiences unfolding, resulting in reduced hydrolysis reaction, (ii) increase in gaultherin yield, (iii) needs less energy, and (iv) purification of the product would be lighter. Study of the effect of solvent concentration and extraction time on gaultherin recovery was carried out for 2 months in the Laboratory of Chemical Engineering Operations at UNDIP Vocational School. Variables include dependent and independent variables. Dependent variables include the solvent-feed ratio of 5:1, pH 4.8, 75 rpm of mixer speed, chopper blades speed of 125 rpm, a drying temperature of 80 °C. Independent Variables include ethanol concentration at 80, 85, 90, and 95%. Extraction time for 10, 20, 30, 40 and 50 minutes. The result shows that gandapura extraction using ethanol had dual function, inactivate gaultherase enzymes and extract the active compounds gaultherin. Gaultherin yields was increased by increasing the duration of extraction. Whereas increasing the concentration of the solvent, gaultherin extracted was decreased.

The increase in diapers usage gives a serious contribution to environmental pollution. The hydrogel in diaper waste can be an alternative growing media. But, the growing media must have enough nutrition to fulfil the plant's need. Therefore, some amounts of filler are necessary to be added to the growing media of diapers waste hydrogel. This research aimed to find out the characteristics of diapers waste hydrogel, the effect of adding straw nanofiber towards the release constant rate, and the growth of green beans. The hydrogel of diapers waste was loaded with various concentration (0%, 1%, 5%, 10%, 15%, and 20%) of straw nanofibres and dried at 40°C for 3 days. The results show the morphology of the diapers waste hydrogel surface more dense with the addition of straw nanofibres. The release rate constant value increased with the increasing of straw nanofiber content. In this research, it can be proved that diaper waste hydrogel can be developed as the growing media, especially for green bean plant.

The laundry wastewater produced by laundry service becomes a pollutant of the water. The main characteristics of laundry wastewater are a high value of BOD dan COD. This research is aimed to study the utilization of ceramic hybrid membranes for laundry wastewater treatment. The ceramic hybrid membrane was produced from natural zeolite that coated with polyvinyl alcohol (PVA). The results show that the average percentage of the decreasing value of BOD reaches 83.37% and the average percentage of the decreasing value of COD is 89.86%. Based on turbidity, the higher rejection is obtained at the pressure of 5 bars with the value of rejection of 96.85%.

Natural zeolite activation from Cikalong, Tasikmalaya Regency, West Java Province, Indonesia, has been investigated experimentally. The activation process is carried out with a solution of sodium chloride (NaCl), which is utilized by ultrasound cavitation. The purposes of this research are to determine the effect of variation of process variables on the physical-chemical characteristics of zeolites. There were two variables studied, namely; sonication time and NaCl concentration. The study was conducted with the one factor at a time (OFAT) method, which is observing responses to changes in one variable at other constant. The range of sonication time of 20 - 60 minutes, while the NaCl concentration is 0.25N - 4N. Natural zeolites and activated zeolites are then characterized using SEM, XRF, FTIR, iod number, and cation exchange capacity to test their physical-chemical characteristics. Characterization results showed that activated natural zeolite had better quality than natural zeolite. The results of the SEM analysis showed the crystal type of natural zeolite minerals in the form of elongated crystals and others, which indicate the shape of quartz and mordenite. XRF analysis results prove that the elements of Ferrum, calcium, magnesium, and potassium are cations that can be exchanged with other metal elements. The results of the volumetric analysis showed an increase in iodine number and cation exchange capacity, along with an increase in sonication time and decreased along with the increasing of NaCl concentration. Based on these properties, zeolites have excellent performance as an adsorbent.

Serayu River, located in the central of the Java island, is one of the largest rivers in the island. The length of the river to the control point of the Serayu barrage is 118.276 km and the basin areas is 3001.73 km². The aim of the research was to analysis flood discharge in the Serayu river at Serayu Barrage. The analysis of flood discharges on the Serayu River would use the HSS Gama I and Nakayasu models. The result of research shown that f flood discharges using the Nakayasu model Qp = 18.833 m3/sec and HSS Gama I model Qp = 59.953 m3/sec. by using rainfall intensity of 7.431 mm / hour, the peak discharge with the Nakayasu model Qp = 139.156 m3/sec and HSS Gama I model Qp = 445.509 m3/sec.

Semarang city is one of the metropolitan cities that has congestion problems. The existence of BRT Trans Semarang becoming an alternative to reduce city congestion problems. Besides the service performance of BRT Trans Semarang, the service quality is also important in considering the travel modes choice. Tangibles are assessed based on the condition of the facility, the existence of information boards, the presence of officers, and the availability of information. Empathy is assessed based on the existence of accident insurance. Reliability is assessed based on service personnel. Responsiveness is assessed based on officer responsiveness. Assurance is assessed based on the level of knowledge and politeness of the officers. The main purpose of this research is to assess the service quality of BRT Trans Semarang related to tangibles, empathy, reliability, responsiveness, and assurance on weekdays and weekend. This research used the Kano Model to assess the service quality of BRT Trans Semarang based on user preferences. The results of the Kano Model analysis dividing the service quality indicators into several treatments can be repaired or added, can be used as a strategy, and can be prepared for the future. The government must prioritise improvements in corridor five because that corridor has the most deficiencies and need for improvement.

Cisewu-Garut is one of the landslide-prone areas in Indonesia which occurs almost every year, particularly in the rainy season. The landslide in this study takes place in the slope where a BTS tower is located. The peripheral fence is hanging due to ground movement, while housings stay beneath the foot of the slope. This problem could harm its surroundings and needs immediate countermeasures to prevent any hazard. At the initial stage, a survey is conducted to investigate slope condition, soil state (including soil test), and drainage. Based on available soil data, the second stage is slope stability analysis by creating a model corresponding to real condition data using the element method to Plaxis2D software. As for the third stage, a landslide disaster prevention is established by strengthening the foot of slope using gabion and retaining walls. The gabion wall cage dimension would be 5m wide and 2.5m tall. Two retaining walls by the size of 2m high to 1m wide and 1m high to 0.6m wide are build. The result of slope stability analysis is an increase of safety factor by 1.729, which existing factor is 1.244. The countermeasures also involve drainage refinement and water flow diversion so that water will not penetrate to landslide zone.

The increasing sedimentation of Mrica reservoir shows that the sedimentation control has not been effective. The sedimentation control has been made include the disposal of sediments that settle in the reservoir by dredging or flushing. However, the results are not optimal. This is caused by the large volume of sediment entering the reservoir each year. The controlling volume of sediment that goes into the reservoir has also been carried out by conducting a watershed conservation program and building a check dam in the upstream Mrica reservoir. However, the existing check dam is still less effective in controlling sediments, especially suspended load sediments, that are transported in the river. Therefore this study was carried out by adopting the sediment trap concept to deposit sediments that escaped from the check dam. This study simulated changes in the width of the downstream channel of the check dam by three variations using HEC-RAS. There was a width of 20%, 40%, and 60% wider than the initial width. The results showed the effect of changing the channel width on volume sediment deposited. Based on the results of the study, the change in width to wider than the initial width could increase the volume of sediment deposits.

Concrete currently consists of several types. Among them are Fibrous Concrete, Lightweight Concrete, SCC Concrete, Hollow Concrete etc. All have advantages and disadvantages to each. The use of various types of concrete is adjusted to the needs of construction. In this research, fibrous steel concrete with a combination of silica fume will be the main object to be studied. So far, fibrous concrete has been actively studied in various countries. From the results of previous studies, fibrous concrete can improve the quality of concrete, especially reducing the brittle nature and initial cracking in concrete. While Silica Fume can increase the compressive strength of concrete. The main objective of this study to determine and understand the mechanical properties of concrete with a combination of steel fibre and silica fume such as compressive strength and split tensile strength. The percentage of steel fibre percentage used in this study is from 0 to 3 per cent, while the percentage of silica fume used is l0 per cent by weight of cement. The results of a study are the optimum compressive strength is in the DFl variation with the percentage of silica fume l0 per cent and 0 per cent steel fibre. The use of steel fibre combined with silica fume does not significantly affect the compressive strength. Although it tends to decrease the compressive strength. The strength of tensile strength obtained ranges from 11 to 14 per cent of the compressive strength.

After the 2009 earthquake occurred, found liquefaction at several points of the Padang coast. To respond to this, the government built several shelters in Padang City to minimise the impact of tsunami or earthquakes in the future. However, it was found that there was still a minimum of people to evacuate themself to the shelter. Based on these conditions, this research intends to conduct on community's perception of Shelters as a tsunami mitigation effort in the coastal areas of Padang City. This research was carried out with direct studies in the field, questionnaire interviews with the community, and those with experience in this field, namely BPBD (Regional Disaster Management Agency) and KOGAMI (Tsunami Alert Community). The objects of this research are four main shelters of Padang City, namely Ulak Karang shelter, Air Tawar shelter, Darussalam Mosque shelter, Nurul Haq mosque shelter. Fifteen respondents for each shelter will be interviewed. Based on the results of the study obtained important things that affect people's perceptions of the existence of Shelters and the use of shelter as an evacuation point.

Reservoir sedimentation is a major problem experienced by reservoirs in Indonesia. Reservoir sedimentation can be overcome by reducing the amount of sediment that enters the reservoir, among others, by building a Check dam. Check dam deposits more sediment loads with coarse grains, while sediment loads with fine grains will escape and enter the reservoir. So it is necessary to have construction to hold and settle fine sediment loads downstream of the Check dam. Construction is planned like a sediment trap in an irrigation system with variations in the cross-sectional area. In this study, the cross-section was expanded by changing its depth. The purpose of this research is to determine the effect of changes in the channel depth with discharge and grain size distribution variation on sediment deposition that occurs. The calculation is done using the HEC-RAS software. Simulation results show the deeper the sediment trap, the smaller the amount of sediment deposit. The large discharge, the smaller of deposit percentage. The greater of fine sediment percentage, the less the deposit.

This study analyzes the effect of white soil as a substitution of fly ash on geopolymer binders. Fly ash from Tanjung Jati Jepara, white soil from Kupang, water and NaOH as alkaline activators are mixed into binders and tested for setting time with a Vicat tool. The water factor of the binder was used 0.5. The white soil substitution in fly ash using a percentage of 0 to 30 of the weight of fly ash. Fly ash and white soil used had the particle size smaller than 0.074 mm or passed the number 200 sieve and had a moisture content of 0%. The results show that the setting time of geopolymer binder with substitution white soil in the range of 52.5 to 105 minutes for the initial setting time and is between 180 to 225 minutes for the final setting time. This value approaches the same as the setting time of Portland cement in SNI 15-2049-2004. From the 7 variations tested, the binder with 15% of white soil has a faster setting time compared to other variations, i.e 52.5 minutes for initial and 180 minutes for final setting time. The temperature when testing affects the setting time of the geopolymer binder

Islamic University of Indonesia (UII) has more than 23.000 active students during 2018/2019 period. With a large number of students, there is high mobility on campus. Traffic jam often occurs in UII during rush hour since students have classes on campus. Additionally, the parking lot always reach the maximum index. Therefore, one of many solutions can be done to reduce traffic jam and lack of parking lot is by planning a campus bus in UII so that students do not need to ride a vehicle to campus. The planning of campus bus in UII consists of demand analysis, route analysis, bus stop analysis, and calculate the number of campus bus needed. Demand analysis was by distributed 500 questionnaires to respondents. The route analysis considered demands, potential areas, and road width. Bus stop analysis based on Decree of Directorate General of Transportation number 271 of 1996, catchment areas, and demands. Analysis for calculating the number of bus campus based on Decree of Directorate General of Transportation number 271 of 1996. The result of this research were three routes for campus bus in UII. Route 1 had 20 bus stops, route 2 had 19 stops, and route 3 had 17. The type of bus used were 16 seats of Isuzu Elf. There were six units for route 1, 7 units for route 2, and 5 units for route 3.

Near surface mounted horizontal steel plates was applied to study the contribution of this strengthening method on the shear capacity of reinforced concrete beams. Specimens were nine reinforced concrete beams without stirrups consisting of three control beams and six beams strengthened with steel plates. The test variables were the ratio of the longitudinal reinforcement and the position of steel plates in the vertical direction of the web side of the beam. The specimens were loaded up to failure using a four-point bending test. The contribution of steel plates on the shear capacity was observed by monitoring the ultimate load and deflection of the beams. The test results show that the shear capacity of beams strengthened with steel plates 17% to 50% higher than the control beams depending on the position of steel plates and the ratio of longitudinal reinforcement. It was also observed that the ratio of longitudinal reinforcement influences the failure mode of the beams.

some victims of landslides must be relocated if the location affected by a landslide impossible to be occupied again. The relocation site of the Sijeruk-Banjarnegara landslide victims had experienced a landslide again, due to the inappropriate location selection. It was necessary to mapping the landslide vulnerability for the selection of relocation sites so that the new location must safe from landslides. Settlements that were still located in the high-risk landslide were as the danger the occupants. The selection of relocation sites must be appropriate and the risk of landslides was low. This study aims to produce a vulnerability landslide map so that land suitability can be obtained for the development of settlements by referring to the threat of landslide hazards. Slope stability modelling uses the TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability) program version 2.0. The principles are modelling the effect of rainfall on regional slope stability. The data needed in modelling was digital elevation model (DEM), soil data index properties, soil engineering properties, and rainfall. The modelling results show that the safety factor values in the study were ranged from 0.8 to 10. Safe numbers below 1.2 means are prone to landslides. Slope stability map can be used to determine the location of the relocation of landslide victims.

The data from Badan Pusat Statistik (BPS) Indonesia, show that the development sector in the Yogyakarta region is changing rapidly, especially with the construction of new airports in the region. That demands the effectiveness and efficiency of cost and time in every construction. It requires supervision, evaluation, and performance control in the construction process. In this effort, this research discusses more detail about the calculation of construction project performance using the earned value method. This research conducted on an integrated development project consisting of malls, hotels, and apartments in Sleman, Yogyakarta. The research data collection was carried out by direct observation and analysis of supporting project data. The data obtained were processed and analysed using the accepted value method. The results of this study indicate that at the end of the review, the Schedule Performance Index (SPI) obtained a value of 0.58. Project progress in the field shows that the project has a 41.48% delay. It can see from the initially planned project of 99.06%, but at the time of review, the realisation was only 57.22%. In terms of costs, the Cost Performance Index (CPI) is 1.25. It shows that the costs incurred during the review are still less than the existing budget plan. At the end of the review period, the estimated final project costs are obtained, both direct and indirect costs. With the tendency of project performance at the time of review, the value is still less than the project budget, while the estimated time of project completion will be longer or late at around 56.52% of the planned schedule.

Macroscopic flow modelling has been fundamentally used to characterize and predict the traffic flow parameters of a continuous road utilizing the analogy for one-dimensional fluid flow. In the Philippines, Ramon Magsaysay Boulevard is a major arterial road that links Manila City to various important cities in the Metropolis. Due to its noticeable deteriorating performance in addressing the increasing traffic flow demand, this work investigated the corridor capacity and characterized the key traffic elements along the major mid blocks using Greenshields model. It is assumed that road users behave uniformly and continuously distributed over the highway to choose a path to minimize their total travel time based on instantaneous traffic information. Investigation shows volume demands exceeding the design traffic capacities equivalent to 0.7429, 1.7959, 0.7226, and 1.4726 VCR ratios.

This study discusses the use of zeolite waste and nylon fiber which are used as added material in making concrete. The type of concrete used is self fiber compacting concrete (SFCC). Self-Compacting Concrete (SCC) is a type of concrete that emphasizes a high enough workability value so that the concrete can flow and solidify itself during the casting process. In this study, fresh and hardened properties will be tested. The fresh properties tested consisted of slump flow, T50, V-Funnel and L-Box while the hardened test of concrete consisted of compressive strength, splitting tensile strength and flexural strength. Nylon fiber is used as much as 1% of the weight of cement with length of 50 mm, while zeolite ash is used as a substitute for cement with variations of 5%, 10% and 15%. The purpose of this study was to determine the effect of nylon and zeolite ash variations on fresh and hardened properties of self fiber compacting concrete. The results show that using these two additional materials can be applied to self-compacting concrete because it meets predetermined standards for the fresh properties of concrete. In the hardened properties of the mixture of 5% zeolite produces higher compressive strength, splitting tensile strength and flexural strength than other variations. It can be concluded that the content of 1% fiber and 5% zeolite ash instead of cement is the optimum level and suitable for self-fiber compacting concrete.

Concrete technology that continues to develop produces high quality concrete which will be a problem of increasing concrete needs. Along with the soaring price of cement as the main ingredient in making concrete, the cost of making concrete is a problem that needs to be sought as a solution for technological development in the field of building construction. Therefore making concrete mixes by suppressing the amount of cement used can be one of the solutions to the problem. The many needs of the Indonesian community for buildings cannot be separated from the increasing demand for building materials. One of them is marble and glass which in the process there is trash or waste from the results of the remains of the pieces or discarded without any prior management. Therefore the need for efforts that can be made to handle the amount of marble or glass waste by utilizing it as a filler in making concrete. This research is to find out the quality of compressive strength of concrete mixed with marble waste. This study used a compressive strength of 20 MPa plan after the study was carried out obtained the average compressive strength of 10% marble concrete waste at 14 days at 22,35 MPa and at 28 days at 23,20 MPa. The average compressive strength value of glass waste concrete 8% at 14 days is 22,64 MPa and at 28 days is 23,48 MPa. Meanwhile, the average compressive strength value of the concrete combination of 10% marble waste + 8% glass waste at 14 days is 22,92 MPa and at 28 days is 23,77 MPa it can be concluded that all concrete variations in marble waste of 10% and glass waste of 8% have increased. This proves that marble and glass waste can be used in certain variations.

In society today, improper waste disposal brings about numerous problems. One of the most common residual wastes found in the municipal solid waste is human hair. This waste, which is evidently continuing to accumulate in disposal streams poses a threat if not disposed properly. Several studies have been done in the search for possibilities of incorporating hair to construction materials. In this study, the compressive strength of Hair Fiber Reinforced Concrete (HFRC) was studied aiming to find the combination that would yield the optimum compressive strength. A parametric study on the effect of amount of hair (1%, 2% and 3%) as well as length of hair strand (0.5-inch, 1 inch and 1.5 inch) on the compressive strength of HFRC was done. The results of the parametric study were used to find the optimum compressive strength. Utilizing the Central Composite Design (CCD) of Response Surface Methodology (RSM), a mathematical model was produced relating the parameters and the combination of parameters that would yield the maximum compressive strength. Based on the results, the mathematical model obtained a Coefficient of Regression of 0.9807 showing that the probability plot of the residuals fits the regression line. As generated by the mathematical model, a combination of 3.2% amount of hair by volume of concrete and a hair strand length of 0.752 inch will yield an optimum compressive strength of 38.15 MPa.

Currently, two-wheeled vehicles or motorcycle dominate more than 80% of motorised vehicles in Indonesia. A large number of motorcycles result in complicated traffic operations and reduced levels of safety. Lanes separation is the best engineering solution to overcome this problem. Several cities in Indonesia have implemented special motorcycle lanes. The results of the study stated that this program was not successful. This paper tries to evaluate the application of motorcycle lanes in terms of the user's riding experience. The Sleman Outer Ring Road in Yogyakarta which has implemented a special motorcycle lane is the location of this study. Data collection was carried out through online questionnaire interviews. Respondents provide answers on a choice of four (4) scales, namely, strongly agree, agree, disagree, and strongly disagree. The method of analysis used for evaluating the use of a motorcycle lane is the descriptive statistical method and the chi-square test. Based on the experience of riding on an exclusive motorcycle lane, assessment of the special motorbike lane geometric and traffic flow is good.

Concrete as a structural material can also function in the aesthetic field. The use of fluorescent concrete can beautify buildings, roads and other construction buildings with concrete material. The use of plastic waste has added value to this concrete because it can reduce environmental damage. So that beautiful, environmentally friendly concrete is expected to be created. This research was carried out in the hope of utilising strontium phosphorus powder and plastic waste to increase the value of concrete benefits. The research that will be carried out consists of several stages. First, the problem identification phase and the materials were making up the concrete, so that the characteristics of the material can be known. The second stage is the concrete mix design using SNI 03-2834-2000 guidelines. The third stage is making the compressive strength and concrete panel specimens carried out in the laboratory. The fourth step is testing the compressive strength and concrete panel specimens and analyzing the test results. Concrete test results show that the more the percentage of strontium phosphorus powder instead of cement, the lower the compressive strength of the concrete. For the percentage of concrete plus 4% plastic waste and 5%, strontium phosphorus powder has a compressive strength of 11.69 MPa compared to normal concrete 26.03 MPa. Then the longest time the fluorescent concrete produced by panel concrete plus cement paste 10% strontium phosphorus powder is for 3 hours.

Supplementary Cementitious Materials (SCMs) are materials that contribute to the hardened concrete properties through hydraulic or pozzolanic activities. The use of Ground Granulated Blast Furnace Slag (GGBFS) as SMCs or partial replacement of cementitious components in concrete provides benefits both in terms of economy and performance improvement. However, GGBFS is not widely known in Indonesia, hence the available research for this product is still limited. In this study, the performance of concrete with GGBFS as a partial replacement for cement was investigated, with the percentage of GGBFS varying by 0%, 30%, 50% and 70% of cement weight. The mechanical properties of concrete being observed are compressive strength and elastic modulus. Porosity testing is carried out to assess the durability aspect of concrete. Compressive tests are carried out when the concrete age reached 7, 28, 56 and 90 days to assess the strength development of GGBFS based concrete. From the study, it was found that GGBFS can replace cement up to a percentage of 50%, with its compressive strength comparable to conventional concrete. However, the addition of GGBFS in concrete mixes slowed the development of concrete compressive strength at early age. Concrete modulus of elasticity decreases with increasing GGBFS, but not significantly. The increasing percentage of GGBFS causes the pore volume to decrease, indicating the greater durability of GGBFS based concrete compared with the conventional one.

OSH culture cannot be carried out if the existing institutional scheme is not strong enough or the institutional authority possessed is insufficient in making improvements in the construction sector, so it can be identified Institutions / institutions / organizations / stakeholders that must be involved in OSH institutions to build a Safety culture. The purpose of this research is to find out the main tasks and functions of each stakeholder to form a strong institution in the construction sector. Analysis methods used are using benchmarking, literature studies and validation of safety experts. The results of this study are that the stakeholders identified include the Occupational Safety and Health Services Company (PJK3), DK3N, the Committee for Occupational Safety and Health (P2K3), the Ministry of Manpower, the Director General of PPK and Safety, the Directorate of OHS Norms Supervision with Main Tasks and Functions that have been identified to enhance Safety Culture in the Construction sector.

Hot Rolled Sheet (HRS) HRS is used on roads with moderate traffic loads, Hot Rolled Sheet is flexible and has high durability, this is due to the mixture of HRS with lame gradations having a large cavity in the mixture, so as to absorb the amount of asphalt large amounts (7-8%) without bleeding, due to the nature of the HRS above, the author chose the HRS pavement type to be modified so that the stability and flow values increased. This study was aimed to determined how much influence iron waste have on stability and flow. This study was used an experimental method that is with a laboratory experiment to get the results, thus the effect of the utilization of iron powder waste on HRS (hot rolled shett) pavement with variations of 0%, 5%, 10%, 15%, and 20% of filler weight. From the results of this study was found that: Iron powder based on gradation and specific gravity test and water absorption has fulfilled the requirements as fillers as regulated in SNI 03-4142-1996. From the Marshall test data obtained, variations that meet the requirements for the properties of Marshall parameters for HRS-WC pavement are variations of 5% and 10%. Percentage of addition of iron powder variation from filler weight which results in the highest stability and flow and fulfills all characteristics the Marshall parameter is a variation of 10%.

One of the main directions of the feed manufacturing industry development is the improvement of the output product quality that ensures its efficacy in modern agricultural production. Some international experience in using the essential microelements in the form of nanopowders in the diets of farm animals has been gained. The article is devoted to the development and justification of a technical solution to the problem of dispensing ultrafine (nano) powders in the industrial production of combined feeds. The authors carried out theoretical and experimental studies of the influence of the conditions of functioning of industrial-technological equipment on the properties of several nanopowders of micro metals. The parametric model of the proposed pneumatic dispenser of bulk nanomaterials allows taking into account various structural and technological changes in the dosing process during the preparation of feed mixtures. The author presents a methodology for calculating the oscillatory system of a pneumatic dispenser, including an annular membrane with fixed edges, based on the equivalent replacement of a system with distributed parameters (membrane) with a system with lumped parameters, which allows replacing the oscillatory model with a translational motion model. An engineering-mathematical model that describes forced membrane oscillations, the dispenser oscillation system and the behaviour of the ultrafine material in the working chamber was constructed on its basis. Practical implementation of the results made it possible to obtain a prototype of bulk ultrafine materials dispenser.

Human resources are the most important part in achieving organisational goals and improving organisational performance, in completing its work human resources require an adequate working environment and compensation as a reward for providing maximum work results. The purpose of this study is to examine and analyse the effect of compensation (X₁) and work environment (X₂) on employee performance (Y), especially in the crude palm oil industry in West Sumatra. Observations were made on three companies, research conducted in March to June 2019 showed that between compensation and work environment has a positive and significant effect on employee performance. With the structural equation modelling approach and Lisrel 8.8 application assistance, the coefficient of estimated of compensation toward performance is 0.37 while the estimated coefficient of work environment toward performance is 0.42. Compensation and work environment simultaneously have a positive influence on employee performance of 0.65.

This paper draws the process of water resources management of local communities by using the social capital point of view. By using a comparative case study, this research was conducted in two regions in Kepulauan Riau, Senggarang and Mantang. Social capital of local communities, such as norms, trust, beliefs, and gotong-royong play a significant role in the process of governing water resources in different ways. This paper contributes to the study of water resources management by recognizing the social capital of local communities. In practical terms, this study is also valuable to the practice of water resources management in the local context in Indonesia. The theoretical, methodological, and practical implications of the study are discussed.

Agriculture has a strategic role in sustaining the economy of a region, especially in improving food security and production of agricultural products. Food Hubs plays the role of building a food system that is capable of aggregating, distributing and connecting farmers with consumers directly. This requires the role and management of effective distribution methods by integrating the roles of farmers and consumers in a distribution center. The Distribution Center (DC) is managed by a Regional-Owned Enterprise (BUMD) that assists farmers in producing, selling and distributing food. Distribution Centers are able to overcome the problem of stock scarcity, price disparity, and price fluctuations in goods - especially staples. The Food hubs are supported by the determination of the number of warehouses, warehouse locations, and warehousing standards for the management of food staple inventory warehouses. Besides determining the level of inventory of safe food staples (buffer stock) is based on the main parameters: lead time and demand requirements. Food Hubs Operations embody the role of farmers, traders, in supporting the activities of distribution centers managed by Regional owned enterprises. Food hubs interactions involve institutions that play a role in sustaining these activities.

Asbestos type brake lining is widely circulating at a cheap price and guarantees the durability of brake shoes, but the result of friction powder in the form of small particles is very dangerous for human health. The study is based on the investigation of hardness and wear resistance in rice plant fiber reinforced composite which is fabricated with polyester resin, fiberglass, and addition of aluminium powder. The composite is hardness tested by using durometer shore D hardness tester. The composite is also wearing resistance tested. The result showed that the mechanical properties were improved due to the increasing of the rice plant fiber composition. The more composition of the rice plant fiber, the harder and the higher wear resistance of the composite. An increase in the composition of the rice plant fiber from 20% to 40% resulted in an increase in hardness of 23% and a decrease in wear by 9%

This paper proposes a new type of vertical mixed flow dryer and evaluates the characteristic of the dryer for coffee bean drying. The specific design of vertical mixed flow dryer was in the drying chamber that equipped with a perforated-sloped tray to retard grain flow while drying. The dryer characteristic was presented in a form of humidity and temperature behaviour during the drying process. This characteristic could be a database to get coffee with standard moisture content (MC). Parameter stated were air temperature (°C), humidity (kg/kg dry air), coffee bean mass flow rate (kg/s), and air velocity (m/s). For air velocity of 2 m/s, this dryer was able to dry coffee bean from 52% initial MC to final 14% MC for 11,5 hours.

The environment has an important role in determining the mechanical properties of composites. This study aims to investigate the effect of in-service environment on composite wear resistance in its use as a brake lining. Composites made from a mixture of rice plant fiber, fiberglass, aluminum powder and polyester resin are produced into brake linings. The brake lining is then tested for wear resistance using a friction machine. The test environment is dry, water, salt-water and brake oil. The highest wear is shown by the brake lining in the salt-water environment, while the lowest wear is shown when the brake lining is working in the brake oil environment.