International Journal of Advances in Data and Information Systems

Journal Information
EISSN : 2721-3056
Published by: Indonesian Scientific Journal (10.25008)
Total articles ≅ 34
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Moch Yusuf Asyhari, Kelik Sussolaikah, Eka Resty Novieta Sari, Sekreningsih Nita
International Journal of Advances in Data and Information Systems, Volume 3; https://doi.org/10.25008/ijadis.v3i1.1234

Abstract:
The Government of Indonesia's official Covid-19 website is the most trusted information link between relevant agencies and the wider community. Usability is an important factor in determining how easily and successfully users can obtain information from a website. Heuristic studies were conducted to obtain findings on the discrepancies in the previously released website design. The website's homepage has a usability percentage of 78.74 percent and a standard deviation of 8.84 percent. The Covid-19 distribution page is 70.36 percent usable, with a standard deviation of 9.84 percent. The evaluation results are based on the United States' Research-Based Web Design and Usability Guidelines. The Department of Health and Human Services (HHS) discovered that the home page's links were poorly identified, that important information was not relevant, and that the use of icons was inconsistent. The distribution page discovered difficult-to-identify links, scrollbar redundancy in the frameset, and content complexity that required the user to be able to read diagrams well.
Matheus Supriyanto Rumetna, Tirsa Ninia Lina, Iriene Surya Rajagukguk, Frenny Silvia Pormes, Agustinus Budi Santoso
International Journal of Advances in Data and Information Systems, Volume 3, pp 1-10; https://doi.org/10.25008/ijadis.v3i1.1227

Abstract:
The Sorong Islands District Office has problems in terms of employee payroll, because it is still carried out by means of recording using an employee job record book and tax deductions, etc. So it takes a very long time to record the salaries of employees according to class and position. This problem can be solved by utilizing ICT, which is to create a payroll information system according to class or position and the deductions evenly. The method used to design this payroll information system is the waterfall method, with Unified Modeling Language (UML), Macromedia Dreamweaver CS 6 for interface design and XAMPP for database design. The purpose of this research is to be able to process all employee salary data at the Sorong Kepulauan District office in detail so that it is effective and efficient in order to produce an information system that is fast, precise, and accurate.
Arnawan Hasibuan, Kartika Kartika, Sahal Mahfudz
International Journal of Advances in Data and Information Systems, Volume 3, pp 19-28; https://doi.org/10.25008/ijadis.v3i1.1232

Abstract:
In this final project, we describe the study of reconfiguring the distribution network at the LG-04 feeder at the Lancang Garam substation, Lhokseumawe, to improve the performance of the distribution system. The focus of the parameters considered includes continuity, voltage, and power loss. The reconfiguration is to change the initial network topology which is in the form of radial into a loop. After reconfiguration, the calculation of power flow, voltage drop, power loss, and short circuit calculation is also carried out which becomes a reference for whether or not the quality of the network is good. The results of the simulation of the existing conditions show that continuity is not good, after reconfiguration and fault testing, the network does not experience blackouts like the network before reconfiguration. The power loss generated in the network after reconfiguration is 0.507 kW or a decrease of ±84% from the previous form of the network.
Warid Yunus, Mohamad Efendi Lasulika
International Journal of Advances in Data and Information Systems, Volume 3, pp 11-19; https://doi.org/10.25008/ijadis.v3i1.1231

Abstract:
Advances in information technology today require all existing computer networks to be able to show that the security system model continues to be considered very important for users who want security both from inside and outside the network. An attack on a network server can occur at any time, as for an attack that can cause a dangerous effect on a router, namely DDOS / flood by flooding the router with very many data packets so that the router can be paralyzed in terms of handling the network system. In this study, descriptive research was applied to obtain data directly by conducting flooding techniques and analyzing and designing flooding prevention techniques with filtering techniques. The application of filtering on the firewall on MikroTik can minimize attacks and prevention directly by dropping flooding packets automatically so that MikroTik performance remains stable
Abdul Rozaq, Yessi Yunitasari, Kelik Sussolaikah, Eka Resty Novieta Sari
International Journal of Advances in Data and Information Systems, Volume 3, pp 30-37; https://doi.org/10.25008/ijadis.v3i1.1233

Abstract:
The Ministry of Education and Culture initiated the Merdeka Belajar Kampus Merdeka (MBKM) program. Several programs in Merdeka Belajar Kampus Merdeka (MBKM) Program include industrial internships, independent projects, student exchanges, community service projects, humanitarian programs, and so on. Kampus Mengajar 2 is one of the programs that hadbeen running. The program received various responses from the public, which were expressed on social media. The Supervisor at kampus mengajar 2 was also active in providing various comments on the kampus mengajar 2 telegramgroups in the form of good, bad, and neutral comments. These comments have the potential to generate a growing sentiment among the general public and academics. Based on these issues, the researcher analyzed the kampus mengajar 2 sentiments toward the implementation of the Merdeka Belajar Kampus Merdeka program with the data source being comments on the supervisors' telegram group. The data obtained from the telegram group is classified as good, bad, or neutral using the Naive Bayes method and K-Nearest Neighbors on up to 591 data points. The data is then divided into two parts: training data and testing data. Testing data can account for up to 20 percent of total data, with the remaining 80 percent serving as training data. The accuracy results on sentiment analysis show that the Naive Bayes method outperforms the KNN method, with 99.30 percent for Naive Bayes and 97.20 percent for K-Nearest Neighbors
Dedi Saputra, Windi Irmayani, Deasy Purwaningtias, Juniato Sidauruk
International Journal of Advances in Data and Information Systems, Volume 2; https://doi.org/10.25008/ijadis.v2i2.1221

Abstract:
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.
Abi Rafdi, Herman Mawengkang Herman, Syahril Efendi
International Journal of Advances in Data and Information Systems, Volume 2; https://doi.org/10.25008/ijadis.v2i2.1224

Abstract:
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%.
I Putu Agus Eka Pratama
International Journal of Advances in Data and Information Systems, Volume 2; https://doi.org/10.25008/ijadis.v2i2.1223

Abstract:
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.
Anggara Trisna Nugraha Angga, Muhammad Jafar Shiddiq, Moch Fadhil Ramadhan
International Journal of Advances in Data and Information Systems, Volume 2, pp 105-113; https://doi.org/10.25008/ijadis.v2i2.1219

Abstract:
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%.
Suhirman Suhirman, Ahmad Tri Hidayat, Wahyu Adjie Saputra, Shoffan Saifullah
International Journal of Advances in Data and Information Systems, Volume 2, pp 114-129; https://doi.org/10.25008/ijadis.v2i2.1226

Abstract:
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.
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