http://ijadis.org/index.php/IJADIS/issue/feed International Journal of Advances in Data and Information Systems 2021-11-29T05:06:20+00:00 Editor of International Journal of Advances in Data and Information Systems info@ijadis.org Open Journal Systems <p style="text-align: justify;"><img style="float: left; width: 200px; margin-top: 8px; margin-right: 10px; border: 2px solid #184B80;" src="http://ijadis.org/public/site/images/ijadis2020/ijadis-cover-xsmall.jpg" /><strong>International Journal of Advances in Data and Information Systems (IJADIS)</strong> (e-ISSN: <strong><a title="ISSN" href="http://u.lipi.go.id/1582691866" target="_blank" rel="noopener">2721-3056</a></strong>) is a peer-reviewed journal in the field of data science and information system that is published twice a year; scheduled in April and October.</p> <p style="text-align: justify;">The journal is published for those who wish to share information about their research and innovations and for those who want to know the latest results in the field of Data Science and Information System. The Journal is published by the Indonesian Scientific Journal (Jurnal Ilmiah Indonesia). Accepted paper will be available online (free access), and there will be no publication fee. The author will get their own personal copy of the paperwork.</p> <p>The IJADIS welcomes all topics that are relevant to data science and information system. The listed topics of interest are as follows: <strong><a href="http://ijadis.org/index.php/IJADIS/focus-and-scope" target="_blank" rel="noopener">Click for more detail</a></strong></p> <table> <tbody> <tr> <td width="135">Journal Title</td> <td><strong>: International Journal of Advances in Data and Information Systems</strong></td> </tr> <tr> <td>E-ISSN</td> <td><strong>: <a title="ISSN" href="http://u.lipi.go.id/1582691866" target="_blank" rel="noopener">2721-3056</a></strong></td> </tr> <tr> <td>DOI</td> <td><strong>: 10.25008</strong> by Crossref</td> </tr> <tr> <td>Chief Editor</td> <td><strong>: Achmad Pratama Rifai, Ph.D. (Scopus ID: <a href="https://www.scopus.com/authid/detail.uri?authorId=56717397100" target="_blank" rel="noopener">56717397100</a>)</strong></td> </tr> <tr> <td>Managing Editor</td> <td><strong>: Edi Sutoyo (Scopus ID: <a href="https://www.scopus.com/authid/detail.uri?authorId=56377194700">56377194700</a>)</strong></td> </tr> <tr> <td>Frequency</td> <td><strong>: 2 issues per year (April, October)</strong></td> </tr> <tr> <td>Publisher</td> <td><strong>: <a href="http://idscience.id/">Indonesian Scientific Journal</a></strong></td> </tr> <tr> <td>Indexation</td> <td><strong>: Google Scholar | Sinta | Garuda</strong></td> </tr> <tr> <td>Email</td> <td><strong>: info@ijadis.org | <a href="https://wa.me/081381694837" target="_blank" rel="noopener">+6281381694837</a> (WhatsApp / Telegram)</strong></td> </tr> </tbody> </table> http://ijadis.org/index.php/IJADIS/article/view/1223 The Implementation and Testing of Online Self-Diagnose Covid19 Application Using CBR and UAT 2021-10-23T20:52:27+00:00 I Putu Agus Eka Pratama eka.pratama@unud.ac.id <p>Nowadays, at Bali Province (Indonesia), one of the public services that are still lacking related to the Covid19 pandemic is online self-diagnosis, so there are still many people who do not know whether they are exposed or not, based on general symptoms, unusual symptoms, or serious symptoms so that they can be treated immediately. In this research, Covid19CBR as a prototype of an online Covid19 self-diagnose application using the CBR (Case-Based Reasoning) method was developed, which can be run online via a web browser. Users simply input their personal data, choose the symptoms experienced or felt, then the system will provide diagnostic results online. This research use Design Science Research Methodology (DSRM) with the case study qualitative research methods, literature study data collection methods, with prototype design using Use Case Diagrams and Sequence Diagrams. The application was tested using User Acceptance Testing (UAT) with the results of 95% that mean user can use this application easily.</p> 2021-10-30T00:00:00+00:00 Copyright (c) 2021 I Putu Agus Eka Pratama http://ijadis.org/index.php/IJADIS/article/view/1221 A Comparative Analysis of C4.5 Classification Algorithm, Naïve Bayes and Support Vector Machine Based on Particle Swarm Optimization (PSO) for Heart Disease Prediction 2021-10-23T20:50:50+00:00 Dedi Saputra dedi.dst@bsi.ac.id Windi Irmayani Deasy Purwaningtias Juniato Sidauruk Burcu Gurbuz <p>Heart disease is a general term for all of types of the disorders which is affects the heart. This research aims to compare several classification algorithms known as the C4.5 algorithm, Naïve Bayes, and Support Vector Machine. The algorithm is about to optimize of the heart disease predicting by applying Particle Swarm Optimization (PSO). Based on the test results, the accuracy value of the C4.5 algorithm is about 74.12% and Naïve Bayes algorithm accuracy value is about 85.26% and the last the Support Vector Machine algorithm is about 85.26%. From the three of algorithms above then continue to do an optimization by using Particle Swarm Optimization. The data is shown that Naïve Bayes algorithm with Particle Swarm Optimization has the highest value based on accuracy value of 86.30%, AUC of 0.895 and precision of 87.01%, while the highest recall value is Support Vector Machine algorithm with Particle Swarm Optimization of 96.00%. Based on the results of the research has been done, the algorithm is expected can be applied as an alternative for problem solving, especially in predicting of the heart disease.</p> 2021-10-30T00:00:00+00:00 Copyright (c) 2021 Dedi Saputra, Windi Irmayani, Deasy Purwaningtyas, Juniato Sidauruk http://ijadis.org/index.php/IJADIS/article/view/1224 Sentiment Analysis Using Naive Bayes Algorithm with Feature Selection Particle Swarm Optimization (PSO) and Genetic Algorithm 2021-10-23T20:54:38+00:00 Abi Rafdi abirafdikoto30@gmail.com Herman Mawengkang Syahril Efendi <p>This study analyzes Sentiment to see opinions, points of view, judgments, attitudes, and emotions towards creatures and aspects expressed through texts. One of Social Media is like Twitter is one of the most widely used means of communication as a research topic. The main problem with sentiment analysis is voting and using the best feature options for maximum results. Either, the most widely known classification method is Naive Bayes. However, Naive Bayes is very sensitive to significant features. That way, in this test, a comparison of feature selection is carried out using Particle Swarm Optimization and Genetic Algorithm to improve the accuracy performance of the Naive Bayes algorithm. Analyses are performed by comparing before and after testing using feature selection. Validation uses a cross-validation technique, while the confusion matrix ??is appealed to measure accuracy. The results showed the highest increase for Naïve Bayes algorithm accuracy when using the feature selection of the Particle Swarm Optimization Algorithm from 60.26% to 77.50%, while the genetic algorithm from 60.26% to 70.71%. Therefore, the choice of the best characteristics is Particle Swarm Optimization which is superior with an increase in accuracy of 17.24%.</p> 2021-10-30T00:00:00+00:00 Copyright (c) 2021 Abi Rafdi, Herman Mawengkang Herman, Syahril Efendi http://ijadis.org/index.php/IJADIS/article/view/1219 Use Ordinary Expressions to Learn How to Extract Code Feedback From the Software Program Upkeep Process 2021-11-16T20:08:57+00:00 Anggara Trisna Nugraha Angga anggaranugraha@ppns.ac.id Muhammad Jafar Shiddiq Moch Fadhil Ramadhan <p>Software engineering is the manner of making use of engineering studies and alertness packages to the design, improvement and renovation of software program. For software program builders or college students majoring in data engineering, the software program renovation manner is a totally complicated activity. Software renovation manner charges account for 40% to 80% of the whole software program engineering manner. The software program renovation manner is resulting from based programming, inadequate understanding domains, and application documentation. In this study, researchers attempted to apply the Java programming language and c / c ++ to deal with supply code truncation. After finishing this manner, this system code may be divided into code and remarks. This report could be used to gain data approximately the manner of knowledge this system from the software program renovation manner. For supply code slicing, the writer makes use of normal expressions, specifically textual content processing strategies or patterns. Using normal expressions can accelerate the manner of locating remarks to your application. The end result of this study is to construct software primarily based totally on open supply code (loose license) so that scholars and trendy programmers can use it to assist apprehend this system. According to the effects of the researchers' testing, the recuperation price is 100% and the accuracy is 100%.</p> 2021-10-30T00:00:00+00:00 Copyright (c) 2021 Anggara Trisna Nugraha Angga, Muhammad Jafar Shiddiq, Moch Fadhil Ramadhan http://ijadis.org/index.php/IJADIS/article/view/1226 Website-Based E-Pharmacy Application Development to Improve Sales Services Using Waterfall Method 2021-11-29T05:06:20+00:00 Suhirman Suhirman suhirman@uty.ac.id Ahmad Tri Hidayat ahmad.tri.h@uty.ac.id Wahyu Adjie Saputra adjie_saputra@outlook.com Shoffan Saifullah shoffans@upnyk.ac.id <p>An online shop is a way of trading and shopping online via the internet. Online sales in the business sector will significantly help reduce operational costs, especially for customer activities; in its contribution to commerce, online sales can also increase selling power and widely facilitate the marketing of a product. “Seger Waras” Pharmacy is an agency engaged in the business of selling medicines and medical equipment. “Seger Waras” Pharmacy requires an online sales website or online store, which is intended to maximize service to existing or new customers. Therefore, the authors conducted research on the design of the e-pharmacy application, which is a web-based medicine sales system at the Seger Waras Pharmacy. This study aims to increase the revenue of the relevant agencies and provide complete information about drug use to customers. Data collection methods use observation and interview methods for system models using Data Flow Diagrams, Entity Relationship Diagrams, and Context Diagrams. The software used by MySQL as a database server, Apache as a web server, Sublime Text 3 for writing PHP and HTML programming languages, and Bootstrap as a framework. The result of the system that has been completed is an online store application that makes it possible to sell and purchase drugs online; the online shop at the “Seger Waras” Pharmacy can increase sales turnover and promote business.</p> 2021-10-30T00:00:00+00:00 Copyright (c) 2021 Suhirman, Ahmad Tri Hidayat, Wahyu Adjie Saputra, Shoffan Saifullah