bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation Data Mining With K-Means Algorithm For Clustering Distribution Rabies Case Area In Palembang City
Authors: Rahayu Kintan , Novianti Leni , Kusnandar Meivi 
Published: May 2020

Abstract

This research aims to classify the vulnerability of Rabies cases by using the CRISP-DM methodology through the process of business understanding, data understanding, data preparation, modeling, evaluation and deployment. The data that has the same characteristics are grouped in a single cluster then the data with different characteristics are grouped in another cluster. The algorithm used in clustering technique is K-Means algorithm. In this case, the cluster is divided into three clusters. The first cluster is a result of an expenditure that has an area with very vulnerable cases of rabies, the second cluster is an expenditure result that has an area with the vulnerable level of rabies cases, the third cluster is the result of expenditure has areas with no vulnerable cases of rabies.
Characteristics Comparison of Refinery Asphalt, Rubberized Asphalt, and Buton Asphalt in Stone Matrix Asphalt Pavement with Marshall and Cantabro Method
Authors: Kurnia A Y , Dewi R , Permata D Y , Pataras M , Adelia S 
Published: May 2020

Abstract
The most common flexible pavement used in Indonesia were asphalt concrete and hot rolled sheet, with the most frequently problem caused by the extremely high traffic load. Because of that, an alternative type of pavement needed. Stone matrix asphalt (SMA) is a mixture with gap gradation which contains a large portion of coarse aggregates and forms a skeleton that efficiently spreads the load due to passing vehicles. SMA mixture consists of three types, that is thin SMA, fine SMA and rough SMA. The utilization of several types of asphalt also can be an alternative. In this research will be made a comparison about SMA mixture with buton asphalt, rubberized asphalt, and refinery asphalt based on Marshall properties, followed with Marshall immersion and cantabro test based on the optimum asphalt content. Overall based on the test result, the combination of SMA mixture with rubberized asphalt was the best. It had the highest stability with the lowest optimum asphalt content. While for the marshall immersion test, the stability of all sample after 24 hours soaked in waterbath were decreased. Also based on cantabro test result, the best index of retained strength value were for SMA mixture with rubberized asphalt.
Augmented Reality in the Registration Flow for Enterance Eximination at State Polytechnic of Sriwijaya Based on Android
Authors: Sucihati Rike , Bahri Joni Malyan Ahmad , Cofriyanti Ervi 
Published: May 2020

Abstract
Augmented Reality is a technology that aims to combine digital content made by computers with the real world in real time. Augmented Reality can be applied in almost all areas of life. One of the applications is in the field of providing information. The publication of registration flow for entrance examination at State Polytechnic of Sriwijaya is still using paper media that makes it less interesting on the prospective applicants. Therefore it requires an application based on android to implement the information distribution of registration flow for entrance examination at State Polytechnic of Sriwijaya.
This augmented reality application consists of two menus namely information menu and location menu. Information menu contains motion graphic video of registration flow for entrance examination at State Polytechnic of Sriwijaya and location menu contains 3d object of entrance examination at State Polytechnic registration buildings. The research method is divided into several stages, namely design, asset creation, implementation and testing. At the testing stage is divided into two, namely application testing by testing the functionality of the features provided by the application and testing of respondents to determine the effectiveness of registration flow at State Polytechnic of Sriwijaya compared to paper media seen in the respondent's answer of 88.7%.
Designing and Applying Flood Early Warning System Based on Waterfall and Water Level for Special of Palembang City
Authors: Supani A. , Andriani Y. 
Published: May 2020

Abstract
Palembang has a height of Musi tide surface about 0.7 m to 2.2 m and average high rainfall 101.48 mm/hrs in a year so that it always happens flood every year. In tackling flood, Palembang government has done rehabilitation of canals, river dredging, creation of retention ponds, demolition of illegal building on the banks of river and the extension services provided to the public about the cleanliness of the river, but till now Palembang does not yet implement a flood warning system with electronic and information technology. The flood early warning system that was built for special of Palembang city to sense rainfall and water level as two input variables, and to count rainfall and water level value, and predict flood conditions using fuzzy logic as three output variables automatically. In the test, it was successful measuring water level up to 5 meters and rainfall up to 380 ml/minutes and more, forecasting the three flood conditions namely standby 2, standby 1 and flood. From the results, it can be concluded that flood early warning systems resulted in three conditions that are standby 2, standby 1, and flood. Standby 2 (S2) happened at Y=190 ml/minutes, X=5 m, and Z=3.38, at Y=250 ml/minutes, X=4 m, and Z = 2.25 constant, at Y=310 ml/minutes, X= 3 m. Standby (S1) that happened at Y= 250 ml/minutes, X=5 m, and Z= 0.621 constant, at Y=310 ml/minutes and Y=380 ml/minutes, X=4 m, and Z= 0.621 constant. Flood status happened at Y=310 and 380 ml/minutes, X= 5 m, and Z= 0.621 constant.
2 way Wilkinson power divider for X band navigation radar
Authors: Desvasari W , Sulistyaningsih  , Taufiqqurrachman  , Kurniadi D P , Mahmudin D , Pristianto E J , Daud P , Putranto P , Setiawan A , Darwis F , Wijayanto Y N , Hardiati S , Kurniawan D 
Published: May 2020

Abstract
A compact radar system becomes a necessity in order to build a lightweight navigation radar. Researches were conducted to create an integrated radar system in the form of one board of 9.3 GHz navigation radar system. Microstrip technology was used for its simple structure and miniaturization at high frequencies. Power divider as a part of the radar system was used to divide the signal from Voltage-Controlled Oscillator (VCO) to Transmitter front end and mixer on the Receiver end. This paper proposed the design and simulation of the Wilkinson Power Divider on Duroid RT5880 substrate using Advanced Design System (ADS) software. The S parameters were analyzed to see the performance of the divider. The proposed design already met the expected requirement of the power divider with more than -30 dB return loss, -3.059 dB insertion loss, and -29.541 dB isolation between divider output ports.
An IoT Based Coastal Weather and Air Quality Monitoring Using GSM Technology
Authors: Kusuma H A , Anjasmara R , Suhendra T , Yunianto H , Nugraha S 
Published: May 2020

Abstract
One of Sustainable Development Goals (SDGs) declared by United Nation is Climate Action. Integrated climate change measurement is one of the point in this goal. The solution in this form is low cost and open source hardware to monitor weather and air quality real time. This study goals is developing Arduino platform to monitor wind speed, air temperature, air humidity, and smoke. All circuit board, electronic component specifications, and programming software are open source and freely available for anyone to use and modify. Inexpensive sensors and Arduino Uno were used to develop low cost system. This system send data to Thingspeak as Open Internet of Things (IoT) platform which provide real time data collection, data processing, and data visualization to users. This system provide a low cost solution (system cost around one million Rupiah) to monitor weather and air quality that easily deployed in the desired geographical area. The results are plotted in graphs to ease the users monitor data both locally and remotely. This system use Arduino Uno as main processor, Real Time Clock DS3231 to provide time information, anemometer to provide wind speed, DHT22 used as humidity and temperature sensor, MQ-2 used for smoke detection and CO level, and SIM900 as GSM shield for sending data to server. Results of measurements demonstrate the usefulness of this system in weather and air quality monitoring.
Metaheuristic Algorithms for the Many-to-one IRP with Dynamic Velocity
Authors: Ramadhan F , Imran A 
Published: May 2020

Abstract
Inventory Routing Problem (IRP) is a combination of inventory management and transportation optimization problems that involve route selection, number of product pickups, and customer demands. In the many-to-one IRP model, the vehicle is sent from the depot and goes to pick up products from several suppliers to the assembly plant. Vehicle loads on this model will increase every time a product is taken from the supplier. It can decrease vehicle speed in the next travel process (dynamic velocity). There are still a few papers that discuss many-toone IRP models with dynamic velocity. Therefore, this study aims to develop a new model called the many-to-one IRP model with dynamic velocity. A modified threshold accepting, variable neighborhood search, and record-to-record travel algorithm with the first improvement local search strategy is used to solve the IRP model. Small datasets many-to-one IRP from previous researches and experimental tests are used to test the algorithms. The results showed that the best-proposed algorithm is competitive when compared to the best-known solution in the previous studies (the average deviation is only 1.86%).
Rainfall Prediction Based on Himawari-8 IR Enhanced Image Using Backpropagation
Authors: Novitasari D C R , Supatmanto B D , Rozi M F , Hermansah  , Farida Y , Setyowati Rr D N , Ilham  , Junaidi R , Arifin A Z , Fatoni A R 
Published: May 2020

Abstract
The wider sea area causes greater evaporation of water in Indonesia. In addition, these conditions have an impact on the season that Indonesia has. Indonesia’s high rainfall disrupts human activities. As a result, it is very important to detect cumulonimbus clouds using satellite imagery. The satellite image used is intended to be taken two values of the characteristics possessed. Characteristics taken are average cover and average cloud temperature. Previous studies predicting rain were only done using observational data taken at the height of 10 meters. This research predicts using satellite imagery that represents the cloud peak temperature value. Furthermore, the classification of data is done using backpropagation. The results of the classification process using backpropagation obtained the best results on the distribution of 80% training data and 20% testing data, with the activation function logging in the hidden layer and that the output layer. The results obtained indicate the accuration rate of 88,283%.
Parijoto Fruits Classification using K-Nearest Neighbor Based on Gray Level Co-Occurrence Matrix Texture Extraction
Authors: Mulyono I U W , Lukita T C , Sari C A , Setiadi D R I M , Rachmawanto E H , Susanto A , Putra M D M , Santoso D A 
Published: May 2020

Abstract
Parijoto fruit is a typical fruit that grows around Mount Muria, Kudus Regency and Mount Merapi in Yogyakarta, Indonesia. This fruit has many health benefits, especially for pregnant women. This fruit production is not much because of its limited growth around Mount Muria. So parijoto fruit is made into powder drink products and syrup, so that it can be consumed in a longer period of time and not only during the harvest. To get a good processed product requires good quality ingredients. Parijoto fruit needs to be sorted and classified. Current technology allows classification to be done by digital image processing. The Gray Level Cooccurrence Matrix (GLCM) method is proposed to extract the texture features from the parijoto fruit and then classify them using the K-Nearest Neighbor (KNN) method. GLCM can describe a spatial linear relationship of the frequency at which gray values are determined by other gray values in one area of investigation. It can simply use the statistical approach of appearance or histogram of the image matrix. In this way, information will be easily relative position of neighboring pixels that are suitable for the classification process using KNN. KKN was chosen because this method was proven to be used for relatively few datasets, but a normalization process was needed to increase accuracy. Based on the results of the implementation of the GLCM and KNN methods for parijoto fruit classification the classification accuracy was 80%.
Day Care Recommendation System in Surabaya Based on Temporal Sentiment Analysis
Authors: Fathoni K , Prasetyaningrum I , Pratama A , Hariyati C 
Published: May 2020

Abstract
Daycare is a place to nurture and educate children outside the home which is expected to temporarily replace the roleof parents in working hours. The existence of daycare requires an Information System application that helps parents to choose the daycare they need. The choice of daycare also requires input from users about how they assess the daycare so that parents have no doubts. From these problems, it requires an application that can analyze comments, inputs and testimonials from users to provide appropriate daycare recommendations. This study aims to build a daycare information system that can provide recommendations to prospective customers through analysis of user comments in online media using the Sentiment Analysis method. Sentiment Analysis is the process of understanding, extracting and processing textual data automatically to get sentiment information contained in an opinion sentence that uses the Text Mining method. Data sources that will be processed in the classification process are data on opinions or comments on online news. The core process is the classification process to determine the highest probability of each category. The result shows that the system can rank the 10 best daycare in Surabaya based on temporal sentiment analysis.
The silica-filled natural rubber in presence of epoxidized natural rubbers: curing, swelling and tensile properties
Authors: Surya I , Ismail H 
Published: May 2020

Abstract
The two types of epoxidized natural rubbers (ENR-25 and ENR-50), having 25 and 50 moles of epoxidation, were used to study the influences of their incorporations on optimum curing time, swelling and tensile properties of silica-filled natural rubber (NR) compounds. The NR vulcanizates were filled by silica filler at a fixed loading at 30.0 phr and the ENRs were incorporated separately into the filled NR compounds with varied concentration i.e 5, 10, 15, 20 and 25 phr. The filled-NR compounds were prepared based on a semi-efficient cure formulation and cured at 150 °C. From the results, it was revealed that both the ENRs acted as curatives and compatibilizers. They increased the optimum curing time and crosslinks level of the silica-filled NR compounds. The higher the ENRs loadings; the higher was the optimum curing time and crosslinks level. It was also revealed that the tensile moduli and tensile strength were raised; the elongations at break were reduced as the ENRs incorporations were raised to 25 phr of concentration. At a similar concentration, the ENR-25 exhibited a less pronounced curative and compatibilization affections than ENR-50.
Plastic waste conversion into fuel by utilizing biomass waste as heating system on pyrolysis process
Authors: Sugiarto B , Kurniawan A , Perdana A 
Published: May 2020

Abstract
Human population is growing continuously. Indonesia, as a developing country, has a significant population growth that is projected to reach more than 300 million people by 2035. Beside of abundance of labor force, a significant increase in population has the potential to cause waste problems due to community activities. Plastic is one type of waste that has a negative impact on the environment because it cannot be decomposed directly. Several methods have been proposed to tackle this problem. One technology that is already proven is plastic waste conversion into liquid fuel by means of pyrolysis process. Pyrolysis is thermal decomposition of organic compound by application of intense heating in a minimum oxygen environment to produce simpler compound, in this case is liquid fuel. On the other hand Indonesia as an agrarian country that has abundant biomass supply which is a potential energy source. Therefore, it can be used to supply heat energy in pyrolysis reactors to convert plastics into liquid fuels. This research is a manifestation of applied sciences, in which the process can be practiced by the general public. Plastic waste in the form of plastic bottle waste is reduced in size to 4-9 cm2 so that the pyrolysis process runs optimally. The plastic waste as reactor feed is varied by 500 gram, 750 gram, 1000 gram, 1250 gram, 1500 gram, 2000 gram. Each amount of plastic is put into the pyrolysis reactor for 3-5 hours, and got heated by biomass combustion with average temperature of 412 °C. In the pyrolysis reactor, gaseous phase product of plastic decomposition then flow through a cooler where it changes into liquid phase. The volume of liquid product of pyrolysis process is then measured to calculate the yield of each process variable: 142 ml, 156 ml, 165 ml, 216 ml, 236 ml, and 258 ml. Optimum results are shown in the 500 gram pyrolysis feed process with a yield of 28,4%. The average yield of the pyrolysis process is 18.6%. Therefore, this work has applied waste to energy paradigm, by converting a waste in the form of plastics into a product that has economic value and can be utilized as an energy source for community.
Study of mechanical properties of composite strengthened mango seed powder (mangifera indica cultivar manalagi), brass, and magnesium oxide for brake pads material
Authors: Pramono C , Salahudin X , Taufik I , Bagaskara A , Irawan D M 
Published: May 2020

Abstract
The problem of brake pads are too hard cause a short-lived drum or discs. Whereas, if they are too soft, the brake pads life will be short. This study aims to analyze the specific wear and hardness properties of the composite with mango seed powder, brass powder, and magnesium oxide reinforced with epoxy resin matrix. The variable of this study used the mass fraction of mango seed powder: brass powder: magnesium oxide. The wear test used the ogoshi method, while the hardness test used the vickers hardness test tool concerning the ASTM E384- 17 standard. The results showed that the specific wear and composite hardness values were close to the mechanical properties of KEV-2700 brake pads, namely composites with a composition of 35% mango seed powder, 35% brass powder, 20% magnesium oxide, and 10% epoxy resin at 3.29 × 10−7 mm2/kg, and 214.38 N/mm2. This composition recomended for manufacture brake pads.
Numerical investigation of the hardness of tire rubber material by indentation method
Authors: Setiyana B , Prabowo C , Jamari J , Ismail R , Sugiyanto S , Saputra E 
Published: May 2020

Abstract
Hardness is an important mechanical property to express the rubber material’s properties. The hardness is closely related to elastic modulus value that is usually obtained by indentation technique. In elastic modulus investigation, the indentation method is more practical to be applied than tensile test method. Analytically, due to the hyper-elastic and non-linear nature of rubber material, theoretical discussion about the rubber properties is difficult to be performed therefore a numerical method is applied. This paper discusses the investigation of the elastic modulus of tire rubber specimens by indentation method numerically and compares to the tensile test method experimentally. Analysis was carried out by Finite Element Analysis (FEA) and two types of vulcanized rubber were analysed. The rubber analysed are often called as a hard compound (vulcanized 1) and soft compound (vulcanized 2) that is commonly used for tires. Indentation modelling was carried out to follow ASTM D 1415-88. Mooney-Rivlin model for Strain Energy Function (SEF) was applied to describe the material’s behaviour. The analysis shows that the results of the indentation method are close to the results of the tensile test method.
Micro pave setting for the triple moon goddess jewelry set designs
Authors: Atamtajani A S M , Yudiarti D 
Published: May 2020

Abstract
Generally, jewelry is made from gold and silver with the addition of the jewel itself. Frack & Co usually use a diamond with level F color and clarity of DVS (Very Slight Inclusions). Thus jewelry has purposes as beautify of its user, it has another purpose which is as the prestige of the lifestyle of the user. In this research analyzed trends, color, and price. Based on the market-targeted analysis, jewelry design is produced based on two classes of price, the middle-class user (approx. 15-45 million) and the high-class user (45-85 million). The Triple Moon Goddess jewelry set design is using white gold and rose gold 18K and diamond with 0.0010C-0.042C by using the technique of Micro Pave setting and round ash facets, so the diamond looks brighter and bigger. The concept design is based on 3 moon symbols with a crescent shape, full moon, and crescent moon sequence. It is referring to the symbol of life birth, maturity, and wisdom. The jewelry set consists of a woman ring, a bracelet, and a pair of earrings. The production process uses the wax tree and gold casting process.
Fiber content of analog rice production from composite flour: cassava, avocado seeds, and tofu waste
Authors: Putri E C J , Sumardiono S 
Published: May 2020

Abstract
Rice is the main food for the people of Indonesia. Many nutrients are obtained from rice which is used as an energy requirement for the human body, such as fiber. fiber is a nutrient for the body that functions to shorten the transit time of food in the intestine, thereby increasing the stool mass in order to facilitate the disposal process for humans. Fiber can be found in rice on the market, but the fiber content in market rice is low. Therefore, the aim of this research is to create an analog rice formulation made from mocaf flour, avocado seed flour, and tofu waste flour using hot extrusion method which has a high fiber content in order to combine analog rice as a national staple food as a substitute for rice which is safe for consumption every day by the community. From the research that has been done, it was found analog rice formulation which has a fiber content of 26.98%.
Corrosion inhibitor behavior in typical car radiators
Authors: Saifudin  , Munahar S , Setiyo M 
Published: May 2020

Abstract
A minor breakdown of the cooling system will cause engine overheating. One of the factors causing the engine overheating is the crust on radiator of cooling system. Based on the problem, therefore, corrosion on the cooling system, especially radiator, should be controlled. There are some methods in controlling the corrosion; one of them is the inhibitor treatment. The research aims to know the corrosion mechanism, the corrosion type, and the kind of inhibitor that produces the lowest corrosion rate. The tool used to measure the chemical composition of the radiator is spectrometer, while microscope optic is used to know the radiator corrosion type. The corrosion rate testing is used three electrode cells according to tafel extrapolation method. The results of the test of the nitric acid inhibitor treatment with the addition of various methods showed that the most optimal result is on the addition of nitric acid inhibitor by 5%. It is proven by the decrease of corrosion rate from 0.002207 mmpy to 0.0171 mmpy.