bluuebunny/crossref_metadata_2025_split huggingface dataset:
Specific capacitance and impedance of electrodeposited polyaniline, polypyrrole and polyaniline/polypyrrole composite films
Authors: Budi S , Deswara R D , Mahmud A , Paristiowati M , Handoko E , Sugihartono I , Fahdiran R 
Published: December 2019

Abstract
The aim of this work was to prepare polyaniline, polypyrrole and polyaniline/polypyrrole composite films using electrodeposition techniques. Films were examined using a Fourier transform infrared spectrometer, which confirmed the formation of the single polymers and their composite. Morphological analysis was carried out using a scanning electron microscope and showed the flat and highly compact deposit of polypyrrole/polyaniline composites, whose morphological characteristics varied from those of the single polymers, which had porous deposits. Electrochemical properties of the materials were evaluated using cyclic voltammetry and electrochemical impedance spectroscopy techniques. Impedance values showed that polyaniline had the best charge transfer and the polyaniline/polypyrrole composite had the highest specific capacitance value, which was 530.96 F/g. This result indicates that the electrodeposited films can find application for electrode in capacitive deionization systems.
The I-V characteristics of hydrothermal growth ZnO nanorods
Authors: Budi A S , Sari I Y , Nuryadi R , Bakri F , Muliyati D 
Published: December 2019

Abstract
This study aims to analyze the conductivity of ZnO nanorods grown by using the hydrothermal method. We use the I-V characteristic test to determine the conductivity. In this research, the process of making samples of ZnO nanorods was carried out in two stages: preparing the seed layer and then growing ZnO nanorods using the hydrothermal method. After testing the characteristics of using SEM, the resulting crystal structure of ZnO nanorods is hexagonal wurtzite with the direction of growing perpendicular to the substrate. Besides, the resulting I-V characteristics indicate a physical phenomenon that occurs at a temperature variation of ≥ 190°C which means a peak. While the details of phenomena still need to be elaborated. Besides, a gas effect test was also conducted which showed that the sensor was at a maximum working temperature of 190°C with an input voltage of 8 volts and reached a gas sensitivity at 220°C.
Mud gas play
Authors: Burhannudinnur M 
Published: December 2019

Abstract
The presence of methane gas seepage in the mud volcano proves the existence of gas associated with over pressured zone in the subsurface. The analysis of C isotope on samples of methane gas seepage of mud volcano show the gas is thermogenic methane at the level of thermal maturity that is equivalent to the peak of petroleum formation. The mud of mud volcano extruded from overpressures zone beneath is predicted to have high gas storage capacity. The objectives of this paper are to define capacity of the mud of mud volcano system as a potential reservoir gas and its role in petroleum system. Isothermal absorption test is performed to answer the storage capacity of the mud of Kesongo and Lusi mud volcanoes system. Seismic data and velocity data show over pressured mud zone as chaotic zone with low velocity anomaly distributed crossing the reflector layer as chamber. The gas storage capacity of the mud based on adsorption test at the temperature of 65-degree Celsius ranges from 812 scf/ton up to 3,217 scf/ton shows it has capacity of gas reservoir. The adsorbed gas in over pressured mud shows different mechanism with that of the conventional reservoir. Adsorbed gas in over pressured mud can be proposed as unconventional gas reservoirs with new alternative hydrocarbon play: mudgas-play (MGP). Mud-gas-play is defined as the accumulated gas trapped in over pressured zone. Gas accumulations tend to be concentrated in the upper part of over pressured zone.
Index group optimization based on automatic clustering using K-Means genetic algorithm
Authors: Multazam M T , Dijaya R , Devi N M S 
Published: December 2019

Abstract
E-prints UMSIDA is a repository of student and lecturer publication documents at the Muhammadiyah University of Sidoarjo (UMSIDA). The collection of documents is still random and the search can only detect from the title keywords. The increasing culture of writing and research makes it possible for more and more documents as literature. Documents in E-prints are grouped by subject provided by the repository manager and grouped by the admin who uploaded the document. Automatic document grouping can be done by grouping documents based on the contents of the document using the Information Retrieval (IR) approach. The retrieval process is carried out by document processing with tokenisation to obtain data tokens, the data tokens are processed through a stemming process to obtain the stem value of each word. The stem value is processed using the indexing process and word stem to get sentence indexes through the weighting process. The index results stored in the database become document variables that are the features or characteristics of each document. The index of all documents is grouped through Automatic Clustering technique using K-Means Genetic Algorithm.
Analysis and implementation of computer-based system development of stemming algorithm for finding Arabic root word
Authors: Zamani F E , Umam K , Azis W D I , Abdillah W S 
Published: December 2019

Abstract
At present many experts in the field of information technology have designed and developed algorithms to solve stemming problems, especially in Arabic. But of the many stemming analyses in Arabic, there is no standardization of a good stemming algorithm in analysing the accuracy of the text in the Koran. The development of stemming in the Koran is significant to work because it supports the Sharaf classification in the Koran to understand the meaning of every word in the Qur’an. One stemmer or stemming an algorithm to find the primary form of an Arabic word is the Khoja Stemmer algorithm. The way of working from Khoja Stemmer is to try to find the root of an Arabic word by removing the longest prefix and the longest suffix of a word, then try to determine the root of the remaining words using the root word dictionary. In this study, the Khoja Stemmer built was able to calculate the average stemming of the Koran by 95.295%. But the root words produced by Khoja Stemmer if manually checked, there are still several errors. Thus, an Al-Quran dictionary is needed to analyse each stemming result conducted by Khoja stemmer in stemming the Koran.
Application expert system career guidance for students
Authors: Supriyanto G , Widiaty I , Abdullah A G , Yustiana Y R 
Published: December 2019

Abstract
The use of information technology and communication (ICT) is widely applied in student career guidance services. In addition to increasing student accessibility in obtaining career information, the use of ICT can also be used as a reference system in decision making known as expert systems. The focus of the research in this paper is to analyze the results of research related to the impact of the application of expert systems in student guidance on aspects of educational guidance, educational evaluation and aspects of academic career guidance and work guidance. Overall, review findings on the topics and sub-topics analyzed show that the application of expert systems in educational guidance greatly helps students achieve: learning success, specialization in education and training, student performance, achievement and self evaluation. Given the lack of development of expert systems in the field of student career guidance, it is very necessary for continuous development, especially in aspects of uncertainty arising from application and user factors.
Physics learning media based Augmented Reality (AR) for electricity concepts
Authors: Ismail A , Gumilar S , Amalia I F , Bhakti D D , Nugraha I 
Published: December 2019

Abstract
Physics concepts are unique because some of them are the abstract concepts so they need to be visualized so as easier to be understood. However, it is rarely the learning media that can combine the real and virtual visualization of abstract physics concepts in the same time. This present study aims to create the application that is used as the physics learning media to aid the virtual visualization of the abstract concept of physics combined with real visualization using augmented reality. The abstract concepts of physics that are visualized are electricity concepts. The waterfall method is the method utilized to test the application on the android system. There are four standards to analyze data, namely functional suitability, performance efficiency, portability, and usability. The findings reveal that two standards (i.e., performance efficiency, and portability) lead the application is valid and good to be used while the usability standard achieves high value based students’ questionnaire that means the application is valid. The implication of this present study indeed can be widened to implement the application on the physics learning in the classroom.
The experiment of text – number combination forecasting
Authors: Rahutomo F , Huda M M , Asmara R A , Setiawan A , Septarina A A 
Published: December 2019

Abstract
In foreign exchange money trading, historical data are publicly available continuously. This historical data such as opening, highest, lowest, and closing rate are important variable to predict the future of rates movement. The available data is not only historical trading itself, but also from news release and expert analysis from expert trader. This kind of data contains text and number. This paper proposes in forecasting the rates by combining text and number data. The combination of text mining technique with several time series method i.e: simple moving average, weighted moving average and exponential moving average. Research period for this experiment is between 1st December 2018 and 31st January 2019. The currency pair are EUR – USD, USD-JPY and EUR – JPY. Forecasting results with some time series method were compared with combined time series forecasting method and naïve bayes classifier. The experiment results show that combined time series method with naïve bayes classifier delivered better accuracy level.
How mobile application can increase moslem worship activities
Authors: Satria E , Tresnawati D , Rudiansyah D , Pariatin Y , Mubarok M S 
Published: December 2019

Abstract
Independent learning about moslem worship activities can be done using technology assistance. The purpose of this research is to design android based application about procedures about sunnah prayer for worship activities doing by moslem. Application development uses multimedia development life cycle method and worship material proposed by Syafii priest. The result of this research is design and application about sunnah prayer, it shows information about sunnah prayer activity with multimedia features which help the user to master the material learned. We hope this application can be alternative learning tools for moslem to learn procedures of praying.
Adaption of cloud computing types of software as a service
Authors: Nasrulloh I , Rahadian D , Bariah S H , Purwanti Y , Imania K A N 
Published: December 2019

Abstract
Cloud computing is an information technology service that can be used or accessed by users to manage data and applications through the internet network. Software as a service is one type of cloud computing service in the form of software. The purpose of this study is to analyze the use and students’ acceptance on cloud computing types of Software as a service including the most used applications, factors that influence usage, benefits obtained, and to find out their use related to learning and learning activities in school. The researcher used a mixed method research design approach to obtain qualitative and quantitative data. Data collection by conducting interviews and giving questionnaires to 367 students from 10 high schools in Garut. The findings show that the Google application is widely used by students. The compatibility factor is the reason for using cloud computing technology as a type of software as a service. Broad access is a benefit obtained by students in using cloud computing type of software as a service. It needs to be given an understanding to students about the use of cloud computing type of software as a service for learning activities in education at school.
Comparative analysis of Naïve Bayes, K Nearest Neighbor and C.45 method in weather forecast
Authors: Findawati Y , Astutik I R Indra , Fitroni A S , Indrawati I , Yuniasih N 
Published: December 2019

Abstract
Weather forecast in an area is unpredictable. This is due to the fact that human factors cannot predict it. The weather forecast is by applying data mining using the algorithm Naive Bayes, K-nearest Neighbor (K-NN), and C.45. Bayesian Classification is a statistical classification method that is useful for the process of determining the probability of a class membership. KNN Algorithm is a classification algorithm based on the similarity between one data and another data. C4.5 algorithms is an easy-to-use classification method interpreted. The best level of accuracy between the three algorithms can be determined by comparison. Comparison of algorithm aims to get the algorithm that is considered accurate, precision, recall and f-measure to make a prediction of a problem. the results of the comparison of the k-Nearest Neighbor, Naïve Bayes and C4.5 classification algorithms used in weather prediction case studies stating that the KNN classification algorithm is a classification algorithm that has the highest accuracy with k = 7 and fold = 5 in predicting the weather compared to Naïve Bayes classification algorithm with fold = 3 and C.45 which reached 71.58% followed by C.45 with fold = 20 having an accuracy of 69.83%. and finally Naïve Bayes 68.77%.
Campus network Throughput improvement through metric modification of OSPF routing mechanism
Authors: Sugiyanta L , Nurhidayat D 
Published: December 2019

Abstract
OSPF (Open Shortest Path First) is routing protocol that are widely used in computer networks. Selection of routing protocols is very important in improving network performance. Calculation of OSPF metrics will determine the performance of data packet delivery. It based on Shortest Path Tree. To find the best route from source to destination, it must determine the shortest path between itself and each router in the network. The router creates this perspective by taking the information in the LSDB and transforming it into a shortest path first tree or SPF tree. It is an algorithmic calculation to construct logical network view performed by the computer within the router. To speed the construction of network tree, buffer on next hop, distance (RTT – round trip time), and direction of next hop (getting closer or away) variable is proposed to increase the speed of data packet communication among routers. This research was using OPNet modeler software, simulations were made on a campus network whose PDU variables were modified to obtain the optimum network tree with OSPF routing protocol. The weighted testing parameters in this study is time delay values. Hopefully, the value of redistribution delay is 1% better depending on traffic density. Main route retrieval and alternative package delivery are based on the smallest cost and metric values in the OSPF protocol.
Design and application data mining in academic fields
Authors: Widyati R , Indiyah F H , Mulyono M 
Published: December 2019

Abstract
Classification is a data mining technique for a process of finding a model that explains or distinguishes a concept or class of data. The goal is to be able to estimate the class of an object whose class is unknown. Seeing the importance of education quality that must increase continuously, the study was conducted to evaluate the educational process in the department based on academic historical academic data which is used as input for which new and unknown classes of objects will be obtained. The level of competitiveness in entering a department in higher education is one of the things that becomes an assessment of department accreditation. Thus it is necessary to analyze how many students accepted into a department do not move to other department the following year. The analysis used C4.5 methods and in the process used Rapid miner software to make decision trees. The results obtained an accuracy rate of around 61.2% with confussion matrix.
Mobile Art Application (MATA) as a media for handling cases of aggression in children
Authors: Nurhasan U , Batubulan K S , Suryadi S B , Pramesti T D , Rawansyah R 
Published: December 2019

Abstract
The difficulty experienced by most children is ability in terms of emotional control. So that they often have difficulty in conveying the things they want. And the culmination is an attitude of aggression in children. The solution to this problem is psychological therapy. Many therapeutic models are commonly used in the field of psychology, one of which is art therapy. The method used in this study is the experimental psychology method. The problem solving strategy in this study uses a technological approach. Art therapy is made on the basis of mobile technology, so that its application becomes more interesting and interactive. Children can freely express visually their thoughts and feelings through scratches and colors on an image on paper. The results of the scratches will appear in the form of 3D objects using augmented reality technology. The creation of applications in the form of real time coloring in augmented reality objects, is expected to be a medium for channeling emotions for children. So that it can be used as a therapeutic medium that can reduce the level of aggression in children.
Comparative analysis of decision tree algorithms: Random forest and C4.5 for airlines customer satisfaction classification
Authors: Baswardono W , Kurniadi D , Mulyani A , Arifin D M 
Published: December 2019

Abstract
This article aims to a comparative analysis of decision tree algorithms between random forest and C4.5 for airlines customer satisfaction classification. The comparative study predicts both algorithms have better accuracy, precision, recall AUC (area under the curve) for analyzing data set of customer satisfaction on airlines, which are useful for later if have some same kind set of data set and problem. In this particular comparative analysis, first, need to select the dataset and transform so it can be used for data mining technique classification after choosing the algorithm to analyze the data set. The analyzing of the dataset it will go through validation, testing, and also result for each algorithm used. Then will compare the result from each algorithm, to determine which algorithm are best to use in this particular dataset or problem for customer satisfaction for airlines. The results of the comparative analysis are the best alternative algorithm choice for use in airline customer satisfaction classifications. For this comparison, the Random forest algorithm has a better result than the C4.5 algorithms.
Development of biography information system based on semantic web using biography ontology: Requirement phase
Authors: Adhi B P , Widodo W 
Published: December 2019

Abstract
The development of the research world is increasingly proven by the integration of supporting technologies, including applications for referral processes, data processing, online journals, journal indexes, and many other applications. Some of these applications, of course, apply web technologies including the semantic web. The purpose of this study is to know which areas of interest and research are being or have been done, provide explanations related to the fields of research, education, personal, awards and a number of other things. This study develops biographical ontologies that are applied to biographical information systems using qualitative methods of analyzing the requirement of biographical ontologies and developing biographical ontology models. The results of this study are the initial phases in the form of the requirement for biographical ontologies that are implemented in biographical ontology models and represent representations of biographical information system designs.
Physics Education (PhyEdu): Mechanical wave media for physics learning
Authors: Aji S D , Aprianto R D , Abdullah A G , Hudha M N 
Published: December 2019

Abstract
This study aims to develop and test the feasibility of learning media in the form of Android-based Physics Education to improve students’ critical thinking skills in mechanical wave material. This research belongs to the research by design using a 4D model consisting of define, design, develop and disseminate. Validation is carried out at the develop stage by involving media experts and material experts. The study produced physics learning media in the form of Android-based Physics Education (PhyEdu) with the results of validation obtained from media experts, material experts, physics teachers and yields limited test with good criteria used in physics learning and very feasible to be tested but need improvement in the appearance of the media.
Design of quality assurance filing system
Authors: Widyati R 
Published: December 2019

Abstract
Filing or filing system is a system to find out how to store data from certain files and file organization used. Access system is a way to retrieve information from a file. Data representation consists of two, namely logical data that represents data at the conceptual level as well as physical data, namely data that has been prepared which is the final result of logical data and usually stored in storage media. Case studies taken on the filing of quality assurance in the study program environment that cover the fields of academics, student affairs and infrastructure.
Influence of artificial intelligence in automotive industry
Authors: Soegoto E S , Utami R D , Hermawan Y A 
Published: December 2019

Abstract
The purpose of this research is to identify the influence and advantages of artificial intelligence in the automotive industry. This research uses descriptive research method where data is obtained from existing facts. The results of this research explain how important driverless cars technology is in the application of artificial intelligence in the automotive industry, and how the advantages and disadvantages of driverless cars technology are applied nowadays. The results of the research were obtained because of the increase of human needs in the era of technology industry 4.0, so some companies developed driverless cars technology. This research was conducted to discuss the influence of artificial intelligence in the automotive industry by applying driverless cars technology.
Video streaming application design for color blind users
Authors: Soegoto E S , Fadhlurrahman M A , Hermawan Y A 
Published: December 2019

Abstract
Nowadays Video Streaming application becomes more popular in the word. Unfortunately, there is still few Video Streaming application that Color Blind Users friendly. The Color Blind Users can not enjoy Video Streaming application due to limitation color they can see. The purpose of this study is to investigate the design of Video Streaming application for Color Blind Users, so that it is expected that the Video Streaming application design can provide the same experience for users when using online video streaming web. The descriptive analysis was used as the method to analyze the research data. Interview with the Color Blind Users was conducted to sharpen the data analysis. The results of the research indicated that the design of Video Streaming application should be made in specific color. There are some color can be seen clearer by the Color Blind Users compare to the other colors. The result of the research contribute literature for building Video Streaming application in the right design to make the blind more convenient to play game approaching the normal situation.