bluuebunny/crossref_metadata_2025 huggingface dataset:
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Application of augmented reality technology in biological learning
Authors: Erwinsah R , Aria M , Yusup Y
Published: December 2019

The writing of this paper aims to introduce Augmented Reality technology to the world of education in schools in Indonesia precisely in Biology learning. Previously there have been several studies discussing the application of Augmented Reality technology to the world of learning but the object of research that was studied was too broad, while the research that the author did was more focused on learning biology. The research method used in this paper is a descriptive research method by giving questions in the form of questionnaires to 50 respondents. Augment Reality technology in its application to Biology learning is expected to contribute innovation and add variations in existing learning media before, from the results of research conducted, it was found that Augmented Reality technology received many positive responses in its application to the world of education. Augmented Reality can be made using some software that is used such as 3D Blender, Unity and other supporting software. With the application of Augmented Reality technology in the world of education is expected to be able to add learning methods to be more interactive and interesting.
Implication of the use of Android-based App Pie application on children counseling subject
Authors: Doriza S , Irzal M , Muhidin A , Sari D K
Published: December 2019

The purpose of this study was to discuss the development of an Android-based App Pie application as one of the learning media for students of the Welfare Education Study Program. In addition, this study also aims to measure the improvement of student’s learning when using this application. The research method uses a type of development research with the ADDIE (Analyse, Design, Development, Implementation, and Evaluate) approach to test the effect of the application. The media feasibility test is carried out by material experts and media experts. After learning media is considered feasible, a large group test consists of 30 students who have taken the Child and Guidance Course. The effectiveness test assessment instrument in the form of a questionnaire using the Guttmann scale, to measure 1) Media Functions, 2) Media Images, 3) Media Colours and, 4) Media Posts. The result of the Children Counselling Product effectivity according to the media accept with 4 test indicators yielding an average of 84.07% with a very good category.
Development of accounting learning module using scientific approach through interactive video
Authors: Lilik S H , Rusno R
Published: December 2019

The results of previous studies conclude that some learning media have the potential to improve students’ independence and competence in understanding accounting material. Through modules and interactive video media, the lecturers have the opportunity to improve student competency in learning introductory accounting. The purpose of this study is to produce an introductory learning module accounting with a scientific approach through interactive video. The learning module was developed by researchers and validated by experts. The results of the study show that the learning module with a scientific approach through interactive video can improve student competency in understanding the process of financial reporting. This research recommends that the learning module with a scientific approach through interactive video, student competence in understanding the process of financial reporting, especially adjusting journals, is more profound, meaningful, and student-centered. Future research is needed to analyze the contribution of the use of learning modules in economic subjects.
Implementation of advanced encryption standard for file security in stego-object
Authors: Yuliani S Y , Atmadja A R , Nurjanah Y S , Fauzy D , Utomo R G , Nur D R
Published: December 2019

Security issues and data confidentiality are very important in the digital and internet era today. Important files circulating on the internet, both in the form of documents, images, and videos need to be supported with good security. This article aims to secure files by utilizing steganography technology, both in encryption and decryption of the file. The method used was the Advanced Encryption Standard (AES) which was applied to Stego-Object. Experiments were done on document files with extensions .doc, .xlsx, .pdf, and .txt, also on image files with extensions .jpeg, .png, and. bitmap. The experimental results showed that AES can encrypt and decrypt quite effectively without changing the quality of files both images and documents. This research could develop for video files.
The most optimal performance of the Levenberg-Marquardt algorithm based on neurons in the hidden layer
Authors: Mustafidah H , Putri C P , Harjono H , Suwarsito S
Published: December 2019

The training algorithm is the main driver in artificial neural networks. The performance of the training algorithm is influenced by several parameters including the number of neurons in the input and hidden layers, epoch maximum, activation function, and the size of the learning rate (lr). One of the benchmarks for optimizing the performance of training algorithms can be viewed from the error or MSE (mean square error) produced. The smaller the error, the more optimal the performance. The test conducted in the previous study obtained information that the most optimal training algorithm based on the smallest MSE produced was Levenberg-Marquardt (LM) with an average MSE=0.001 at the level of α=5% and using 10 neurons in the hidden layer. Therefore, this study aims to test the LM algorithm using several variations in the number of neurons in hidden layers. In this study, the LM algorithm was tested using 5 neurons in the input layer, and 2, 4, 5, 7, 9 neurons in hidden layers, and the same parameters as previous study. This study uses a mixed method that is developing computer programs and quantitative testing of program output data using statistical test. The results showed that the LM algorithm had the most optimal performance using 9 neurons in the hidden layer at the level of lr=0.5 with the smallest error of 0.000137501±0.000178355.
A proposed framework in an intelligent recommender system for the college student
Authors: Kurniadi D , Abdurachman E , Warnars H L H S , Suparta W
Published: December 2019

This article aims to proposed framework an Intelligent Recommender System (IRS) for students in higher education institutions. This conceptual framework includes problems in predicting student performance, the possibility of graduating on time, and recommends choosing subjects according to performance, and career interests, which are useful for assisting pedagogical interventions in future student development. The success in the development and implementation of the proposed IRS framework is inseparable from using data mining and machine learning techniques in predicting and providing recommendations. Data analysis consisted of clustering techniques, association rules, and classification using Support Vector Machine (SVM), Naïve Bayes, and k-Nearest Neighbour (k-NN). These techniques are used to solve problems related to students and to provide appropriate recommendations. The result is an IRS conceptual framework for the college student that can be used as smart agents to provide student guidance and suggestions to support the process of education in higher education.
Geographical information system of fire incidents data monitoring
Authors: Fitriani L , Rahayu S , Tresnawati D , Supriatna A D
Published: December 2019

This geographic information system is built as a tool to monitor fire incidents data, taken from the reports of the fire department. The Purpose of this study is to monitoring fire incidents data, so that it can facilitate firefighters to monitor areas that have high occurrence of fires. Therefore, they can prevent fires from occurring. The information system is expected to have benefit in decreasing the rate of fire incidents, mostly by socializing to the publics the prevention of fires in areas where it often occurs. This research was conducted by using the Unified Software Development Process methodology; starting from the analysis model stage, design model, deployment model, implementation model, and testing model. The design model used in this research is Unified Modelling Language which is tested by using the black box method. The result of this study is the implementation of geographic information system that can monitor fire incidents data through the location of the incident. Moreover, this system can improve the performance of firefighters in anticipating and preventing the incidents.
A prototype of serious game for lecturing simulation
Authors: Zulfikar W B , Ramdania D R , Afif A , Uriawan W
Published: December 2019

Nowadays, students are one big assets of a university. A Student must be assign to several lecturing process for example study plan, lecturing, mid test, final test, etc. Therefore, some student especially new entry student did not understand whom the primary and secondary flow of lecturing and its terms. There are many ways to explain about lecturing plot into student, like put it on academic guide book, inform in official website, social media, and so on. Unfortunately, most of students are not aware it. The purpose of this work is to create a lecturing simulation game to interest student in order to understanding lecturing process. In limited test we ask several students to play this simulation game. The result, 80% of student get more knowledge about lecturing process.
Revealing student satisfaction related to academic information services using the Kano model
Authors: Cahyana R , Rahayu S , Satria E
Published: December 2019

Information technology is one of the campus facilities. The information system department evaluates the use of information technology periodically by measuring user satisfaction. This study uses the Kano model to reveal student satisfaction related to the utilization and improvement of information technology in academic information services. Representation of the Kano quality category shows that the availability of conventional academic information services increases student satisfaction. The existence of an information technology that provides self-service practices without space and time constraints can further enhance student satisfaction.
The fuzzy Mamdani implementation to predict blood stock needs in blood transfusion unit of Palang Merah Indonesia (PMI) in Bandung district
Authors: Wulan E R , Sandi G , Shahira S , Firdaus M D , Saputra Y
Published: December 2019

Blood stock needs in blood transfusion unit of Palang Merah Indonesia in Bandung district are decreasing due to several things. To resolve this problem, a method to predict future blood stock needs is needed. With Fuzzy Mamdani method, the prediction results can be grouped into categories, those are stock in stock and fixed stock. Based on system testing and manual testing carried out in this study, it was found that Mamdani fuzzy had a high enough level of accuracy of 88.88% to predict blood stock needs in Blood Transfusion Unit of Palang Merah Indonesia in Bandung district.
E-commerce based on the Marketplace in efforts to sell agricultural products using Xtreme programming approach
Authors: Rahayu S , Fitriani L , Kurniawati R , Bustomi Y
Published: December 2019

Along with the development of technology that enters all walks of life including agriculture provides an opportunity for farmers to be able to trade agriculture directly because of the problems that occur in the distribution of agricultural products for quite a long time so that they are directly in hand. Consumers sometimes make farmers quite disadvantaged because they get income that is not comparable if sold directly to consumers (end users). However, the limited space and lack of information make it a problem for farmers to sell it directly. E-commerce is one solution to this problem. E-Commerce is a forum that brings together sellers and buyers in buying and selling transactions directly using online electronic devices. The software development methodology that used in this study is the XP (Extreme Programming) method. This article aims to make e-commerce based on m-commerce to accommodate the needs of farmers in selling agricultural products directly and get greater profits, and customers get cheaper product prices. The results of this study are the form of e-commerce applications that can be used as a medium for promotion, communication, information, and provide direct benefits to farmers and consumers.
Implementation K-nearest neighbour for student expertise recommendation system
Authors: Taufik I , Gerhana Y A , Ramdani A I , Irfan M
Published: December 2019

The ability of students to determine their chosen field of expertise is still subjective, many students choose the field of expertise because their classmates choose the field of expertise not by considering their abilities and interests. This research uses the KNN classification method to determine areas of expertise that are in accordance with student expertise. The KNN method was chosen because it is a method that uses supervised algorithms where the results of new query instances are classified based on the majority of the categories in the KNN whose purpose is to classify test data based on training data. This system was tested using the confusion matrix method and the results were 98.30% of the total student data sample of 30 people.
Prototype of decision support system for wind detection based on optocoupler and magnetic sensor
Authors: Septiana Y , Munthe A R S , Fatimah D D S , Latifah A
Published: December 2019

Measurement of wind speed and direction can be done by observation using an anemometer, but the results sometimes are not accurate. The research aims to design a prototype decision support system based on an optocoupler and magnetic sensor for wind detection that works automatically detects wind. The software development model used is the Prototype Model. This study aims to design measurement of speed and wind direction and the information produced can be used for decision support systems as a reference for determining the timing of fishing for fisherman and mapping the potential of wind energy in an area.
Body weight anthropometry expert system for disease diagnosis
Authors: Fatimah D D S , Tresnawati D , Rahayu R E G
Published: December 2019

Human body measurements or anthropometry are carried out, among others, to meet industrial and health needs. Products that will be used by humans need to use anthropometry to suit the people who use them. The use of anthropometry in health, among others, is used as an indicator of health as well as a person nutritional level. The measure that is widely used for the criteria for human health is weight. Based on body weight can be determined the level of health and the possibility of a disease suffered by a person. Knowledge of weight anthropometry is packaged in the form of an expert system so that it can be used for consultation by people who have health problems based on body weight. The methodology used in this design uses Expert System Development Life Cycle, as well as knowledge representation techniques use artificial intelligence production systems. The design results are dynamic software, which is able to overcome diseases based on body weight data. Disease is divided into two categories, namely diseases based on high body weight and low body weight. Expert System has been validated by an expert. The validation results describe the expert system can provide solutions that are in accordance with the knowledge provided. The resulting system can be run by lay people in the training process for 2 hours. The conclusions from this study are that expert systems are able to be applied to assist humans in introducing effective and efficient weight-based anthropometric diseases. The artificial intelligence production system provides a knowledge base, rule base, and control strategies for finding weight anthropometric solutions.
Implementation of linear programming for optimizing on productions and profits simplex algorithm
Authors: Jumadi J , Wahana A , Utami D P , Slamet C
Published: December 2019

Every factory based on production, always try to find the best way to get high profit from their capital that spent on production processes. The Konveksi Zom T-Shirt is a factory that produces jacket, shirt and t-shirt. This factory, use simplex method to predict composition and number of items to get maximum profits from available capital. Based on simplex method with parameters; Rp. 2.000.000 as capital, 3.000 minutes as time production, and 6 pcs as minimum productions. This method get result with composition and number of items; 15 pcs of jacket, 6 pcs of shirts, and 22 pcs of t-shirts. The profit of production uses this method can increase 3,5% of profits from conventional method. Finally, this method can be used to support on deciding composition and number of item in productions to get a maximum profit.
An idea based on sequential pattern mining and deep learning for text summarization
Authors: Maylawati D S , Kumar Y J , Kasmin F B , Ramdhani M A
Published: December 2019

One of the Natural Language Processing (NLP) studies that has been widely researched is automatic text summarization. There are a lot of techniques and methods that are proposed for text summarization. However, not much attention has been given on the coherence and cohesion in text. The aim of this study is to present an idea to combine Sequential Pattern Mining (SPM) and Deep Learning (DL) for better text summarization process and result. In text summarization, it is important to produce understable and readable summary, and SPM as text representation extracting algorithm is capable to maintain the meaning of text by giving attention of the order of words appearance. Whereas DL is a popular and powerful machine learning technique widely used recently in various data mining studies. This study uses descriptive research methodology that collects all of the facts and information which are related to SPM and DL for text summarization, where NLP as the body of knowledge, SPM and DL as the method, and text summarization as the domain problem that need to be solved. The findings of the study are presented as a logical design and mapping of current text representation that can be implemented to further improve automatic text summarization results, in particular, to improve its coherence and cohesion.
Searching the shortest route to distribute disaster’s logistical assistance using Dijkstra method
Authors: Hartomo K , Ismanto B , Nugraha A , Yulianto S , Laksono B
Published: December 2019

The logistical assistance’s distribution itself has problems in determining the shortest route which should be chosen properly. Dijkstra method can be applied in choosing the shortest route. Dijkstra method is a method that can determine the shortest route from the boarding point to the arrival point by the smallest weight, to display into a map, it needs Google Maps Api technology. It is a free service provided by google that can be accessed by a browser. This research resulted in application on logistical assistance’s distribution of natural disasters by applying dijkstra method on finding the shortest route.
Prediction of national examination question using C4.5 algorithm
Authors: Lukman N , Subaeki B , Abdullah H N , Atmadja A R , Wildanuddin M
Published: December 2019

The National Examination in 2018 is no longer the only determinant of student graduation from their school, however the score of the national examination from 2015 has decreased. One of the reasons is that students found difficulties to predict the questions that probably appeared on the exam sheet. This research aimed to help students predict the questions that probably appeared, so that the average value hopefully will be increased. The prediction of the questions that probably appeared on the exam had been done by processing data of the questions used for national examinations several years ago using C4.5 Algorithm. C4.5 Algorithm is a Data Mining technique that can classify predictive questions and it is able to form a prediction of questions on the exam. The result showed that the prediction of questions that probably appeared on exams by using Algorithm C4.5 had good performance and its accuracy is 70%.
ICT-based Al-Qur’an phonology learning
Authors: Supriyadi T , Julia J , Iswara P D , Abdussalam A
Published: December 2019

This research seeks to analyse the process of ICT-based Al-Qur’an phonology learning by using MTT Tahsin application. Indonesian people, whose mother tongue is not Arabic, need to learn the Al-Qur’an phonology to avoid letter sound interference in Al-Qur’an reading. The research method conducted the following stages: (1) search and download MTT Tahsin application; (2) explain the application features; (3) learn Al-Qur’an by using the application; and (4) evaluate the learning process. The subjects of this research were students with Javanese culture background, consisting of 14 male students and 9 female students of a university in Kabupaten Sumedang. The findings are: (1) MTT Tahsin application is equipped with trans-literacy feature and explanation of hijaiyyah letters characteristics, hence, it assisted the students to comprehend the pronunciation; (2) The application is equipped with makhroj (place from which the sound of a letter originates) pronunciation with all marks, hence, it assists the students to comprehend makhroj pronunciation; (3) The learning process could be done wherever and whenever; and (4) the evaluation of learning process showed that MTT Tahsin application could minimize the phonology interference in Al-Qur’an reading practices. To conclude, Al-Qur’an learning using MTT Tahsin application could improve phonology mastery for Javanese people.
The design of sign language electronic dictionaries for children with hearing impairments
Authors: Bhakti D D , Rahadian D , Sidiq P , Nugraha Y
Published: December 2019

Communication is difficult for people with hearing impairments due to the limitations of their hearing senses. In addition to communicating using natural cues they can also use the Indonesian Language System Dictionary (Dictionary SIBI) published by the Ministry of Education in the form of print. Dictionary Electronic sign language is starting to be used a lot, of course electronic dictionaries are more effective and flexible compared to dictionaries in general (print). A more effective electronic dictionary is used in searching for the signals sought and because they are efficient and easy to use. The methodology that used for this article are qualitative descriptive methods. The design method of sign language electronic dictionaries used some phase in Unified Process. Use case, activity, class, and ER diagram are used to design sign language electronic dictionaries. This article discusses how to design the electronic sign language dictionary application for people with hearing impairments.
Study of Ruangguru application based on human computer interaction principles and paradigm
Authors: Bhakti D D , Rahadian D , Sidiq P , Nugraha Y
Published: December 2019

This Ruangguru application study aims to determine the relevance of application functions based on the principles and paradigms of Human and computer Interaction (HCI). In this study, the aspects evaluated included aspects of human, technology, usability, and ergonomics. The interest in studying the Ruangguru application is based on several sources stating that Ruangguru is believed to be the “Best Education Platform”. So from that sentences, it was examined several aspects to determine the extent of the relationship between the Ruangguru application and HCI principle. After the study was conducted, the Ruangguru application was assessed to have fulfilled these aspects. So it’s no wonder the Ruangguru application is used as an online learning centre among Indonesian students.
The 3-D visualization of the granular particle on various diameter porous surfaces
Authors: Muliyati D , Sumardani D , Ambarwulan D , Siswoyo S , Handoko E , Fitriani E , Viridi S
Published: December 2019

Granular particles have applications in various fields, one of which is the beauty industry. One crucial part of this industry is the character of powder-size interactions with skin-faces. The simulation of granular particles with a porous surface can model this interaction. The purpose of our simulation to visualize the process of granular attachment on a horizontal porous surface. This simulation is 3-dimensional visualization using unified particle physics solver method in uFlex assets on unity software. We generate the pores to three sizes. Each order is tested using five particle sizes. The results showed that the porous hole diameter and the granular restitution coefficient influenced the particles entering the porous surface system. In summary, the number of grains entering the pore is proportional to the diameter, but not linear.
Comparison between Naïve Bayes and certainty factor to predict big five personality
Authors: Syaripudin U , Zaenal R , Duri M F A , Firmansyah E , Rahman A
Published: December 2019

The Big Five is one of the methods known in the world of psychology to interpret persons personality, especially to find a relationship between personality and work environment. The Big Five consists of openness (O), conscientiousness (C), extraversion (E), agreeableness (A), and neuroticism (N). This study aims to predict the level of agreeableness in the classification of The Big Five. The method used in detecting this level of agreeableness is using the Certainty Factor and Naive Bayes algorithms. The results obtained in a comparison of the level of accuracy in personality prediction, the Certainty Factor algorithm get results of 80% and Naive Bayes get 90%. From these results it can be concluded that the Naive Bayes algorithm is better at predicting personality.
The utilization of levelled fuzzy logic for more precision results
Authors: Jamaaluddin J , Rosnawati E , Anshory I , Sulistiyowati I , Syahrorini S
Published: December 2019

The use of Fuzzy logic in the forecasting process, problem analysis, and decision making of the process is often used. The development of this fuzzy logic by widening the foot of the membership function as interval fuzzy type 2, fuzzy signature or carried out a hybrid between fuzzy logic and other artificial intelligence systems or a hybrid algorithm has also got quite good results. At this time, a multilevel fuzzy logic method is proposed. This multilevel Fuzzy Logic is interesting behind the input of a process in fuzzy logic, which is the output of the previous fuzzy logic or the output of a fuzzy logic analysis is input into the next stage of fuzzy logic. This multilevel fuzzy logic can be done up to several levels of depth according to the variables to be analysed. If the final analysis has the equation X(i) + Y(i) = Z(i), then the value of X (i) can be the result of A(i-1), where A(i-1) is the result of the Fuzzy Logic B(i-1) + C(i-1). by performing multilevel fuzzy logic is expected to have the value of forecasting errors or problem analysis and decision making better and more precise.
Perceptions and acceptance levels of a web-based nutrition educational application (Digipedia Edu_Makugiz) of West Java traditional food for teenagers in Bandung, Indonesia
Authors: Yulia C , Hasbullah H , Widiaty I , Nikmawati E E , Rosdiana D S
Published: December 2019

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