bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of augmented reality technology in biological learning
Authors: Erwinsah R , Aria M , Yusup Y 
Published: December 2019

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.