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Andi Nur Rachman
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Department of Information Systems, Faculty of Engineering, Siliwangi University Tasikmalaya email: jaisi@unsil.ac.id Jalan Siliwangi No. 24 Kelurahan Kahuripan Kecamatan Tawang Kota Tasikmalaya 46115
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International Journal of Applied Information Systems and Informatics
Published by Universitas Siliwangi
ISSN : -     EISSN : 3031254X     DOI : https://doi.org/10.37058/jaisi
Core Subject : Science,
Computer Science & IT
International Journal of Applied Information Systems and Informatics (JAISI) is an international journal in Information Systems and Informatics as a forum for research publications that are systematically arranged based on clear background, appropriate methods, well presented research results, as well as concise conclusions and reference sources appropriate. Journal of Applied information Systems and Informatics (JAISI) published every 2 (two) times in a year on Mei and November.. JAISI has open access for public so that articles are published online and can be accessed for free without having to subscribe. Articles submitted must be written in English for initial review by the editor and further review by the reviewer. JAISI is managed by the Information Systems Department, Faculty of Engineering, Siliwangi University.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 30 Documents
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Analysis of the Usability Level of the JKN Mobile Application Using the User Experience Questionnaire (UEQ) and Importance–Performance Analysis (IPA) Methods Haris, Gendhi; Tri Julianto, Indri; Ridwan Ibrahim, Maulana
Journal of Applied Information System and Informatic (JAISI) Vol 3, No 2 (2025): November 2025
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v3i2.17008

Abstract

The JKN Mobile application developed by BPJS Kesehatan is a digital service for National Health Insurance (JKN) participants to access features for checking membership, online queues, and complaint services. JKN Mobile contributes significantly to the digitalization of healthcare services, but various negative reviews still emerge, especially regarding the interface aspect. This study analyzes the usability level of the application using the User Experience Questionnaire (UEQ) and Importance Performance Analysis (IPA) methods. The UEQ assesses six aspects of user experience, while IPA maps attributes based on importance and performance. The analysis results show a gap between expectations and experience. Clarity (1.1056, 0.4021), efficiency (1.0181, 0.0026), and appeal (1.0946, -0.019) fall into the "maintain performance" quadrant. Novelty (0.0965, 0.4113) is in the "top priority" quadrant, stimulation (0.8763, -0.1192) is a low priority, while accuracy (0.9514, -0.1224) is excessive. These findings provide a comprehensive overview of aspects that need to be maintained or improved. User feedback-driven strategies and agile approaches are recommended to make application development more innovative, optimal, and responsive to the needs of digital healthcare services.
APPLICATION OF USER-CENTERED DESIGN IN DAYSCADY APPLICATION DEVELOPMENT FOR DAILY ACTIVITY SCHEDULE MANAGEMENT Aulia, Revina; Hardiwibowo, Restu Agung
Journal of Applied Information System and Informatic (JAISI) Vol 2, No 2 (2024): November 2024
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v2i2.13382

Abstract

This study aims to evaluate the effectiveness of the Dayscady application, a daily schedule management tool designed using a user-centred design (UCD) approach. The application focuses on meeting user needs by providing a streamlined interface and personalised scheduling features. Twenty respondents participated in this research, providing insights into usability and potential improvements. The study used a mixed methods approach, combining quantitative surveys and qualitative interviews. Respondents completed a Likert-scale questionnaire to assess usability, satisfaction and functionality, and participated in interviews to provide detailed feedback. Quantitative results showed that 90% of respondents were willing to use the application regularly. However, qualitative feedback highlighted areas for improvement, including a desire for more dynamic interactions through pop-up features, clearer notifications and a comprehensive guide for new users. These findings demonstrate the potential of Dayscady to significantly improve user productivity by addressing their schedule management needs. The findings also highlight the importance of continuous iteration in application development, particularly in refining the user experience and functionality based on feedback. For future research, it is recommended to investigate the long-term impact of the application on productivity and to increase the sample size in order to draw more generalised conclusions. In addition, incorporating gamification elements or integrating AI-driven recommendations could further enhance the effectiveness and engagement of the application. This study provides a basis for optimising Dayscady and contributes to the advancement of user-centred application design.
Analyzing the Usability of University Siliwangi Website using Jakob Nielsen Method: Approach with User Satisfaction Surveys Fajriani, Yuke Nurul; Hidayat, Eka Wahyu; Akbar, R Reza El
Journal of Applied Information System and Informatic (JAISI) Vol 2, No 1 (2024): Mei 2024
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v2i1.10810

Abstract

The implementation of websites in universities has become crucial in providing a platform that enables quick and easy access to academic, administrative, and institutional information. University websites fall under the category of official websites, serving as platforms created and managed by organizations, companies, or official entities to provide information, services, and interaction with users. Universitas Siliwangi, one of the state universities in West Java, operates an official website at https://unsil.ac.id/. This website serves as a promotional tool and information hub accessible to students, faculty, staff, and external parties interested in Universitas Siliwangi-related information. However, the website's utilization lacks evaluation by users and usability testing. Initial observations reveal that only a few students and high school students use this website as a source of Universitas Siliwangi-related information. Therefore, this research aims to examine the usability and usefulness of the website for users and to promote the university. The findings of this study will serve as the basis for university website development and benefit Universitas Siliwangi. The method used to measure the website's usability is the Jakob Nielsen method with user satisfaction survey techniques. The results of this research indicate that the usability of the Universitas Siliwangi website falls into the high category. With users' information needs met on the website, it is expected that they will feel satisfied and inclined to revisit the site. Descriptive analysis shows that students give high ratings to the usability of the Universitas Siliwangi website, although there are still some shortcomings that need to be addressed in certain aspects.
STRATEGIC PLANNING OF BUSINESS INTELLIGENCE OPTIMIZATION OF DIGITAL MARKETING CONTENT AT PT. SOKA CIPTA NIAGA USING BUSINESS MODEL CANVAS Putri, Novianti Indah; Saputra, Yogi; Hamdani, Alfinur
Journal of Applied Information System and Informatic (JAISI) Vol 3, No 1 (2025): MEI 2025
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v3i1.15546

Abstract

Through implementation comprehensive methodology , research This analyzing digital marketing strategy of PT. Soka Create Commerce in digital marketing strategies in the industry halal fashion . SWOT analysis identifies strength in live streaming and education content , with focus on human resource and equipment limitations . PEST analysis shows How environment influenced by halal regulations that prevent and encourage style life healthy . Instagram performance shows improvement range by 81% with expansion significant geographic and segmentation audience aged 18-34 years . The Business Model Canvas presents a proposal for product fashion class above which is halal certified and has integrated multi- channel distribution . In conclusion , PT. Soka Create Commerce need continue transformation digital with focus on development human resources and technology capacity For optimize market opportunities and facing competition industry. Method Business Model Canvas can make effective company in design and implement knowledge business For increase performance achievement digital marketing content . With do SWOT analysis in comprehensive , business can identify the right strategy For increase Power compete , reduce risk , and take advantage of source available power . Strategies based on SWOT analysis can covers Power competition , diversification product , market expansion , optimization technology information , management risk , and adaptation business . SWOT analysis is very useful tool For help business identify factors key influencing performance them , develop a comprehensive and thorough strategy For growth , and develop decision more strategic effective [3]. PEST is analysis management strategic that identifies factor macro external influences business.
User Interface Design of Mobile Based E- Commerce Fasion Application (Shirtly) with Design Thinking Method Rahmalia, Dea Puput
Journal of Applied Information System and Informatic (JAISI) Vol 2, No 2 (2024): November 2024
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v2i2.13323

Abstract

Technological advancements, particularly in the field of the internet, have brought about significant changes in the way people shop. In this context, “Shirtly,” a fashion store that provides a variety of products such as clothing, accessories, shoes, and jackets, seeks to develop a mobile-based e-commerce application to improve customers' shopping experience. This research aims to design an effective user interface (UI) by applying the Design Thinking method, which consists of five main steps: Empathize to understand user needs, Define to identify existing problems, Ideate to generate various creative ideas, Prototype to create an initial model of the application, and Test to test the prototype with users to get feedback. The results showed that the Shirtly application successfully met user expectations with a System Usability Scale (SUS) score of 88, which falls into the Excellent category. This finding confirms that the Design Thinking approach is very effective in designing user interfaces that are responsive and in accordance with user needs, so as to increase comfort and satisfaction in the online shopping experience. Thus, the Shirtly app is expected to not only attract more customers but also create a pleasant and efficient shopping experience. In addition, it is important for Shirtly to continuously iterate on the app design based on user feedback after launch. By utilizing user data analysis and regular customer satisfaction surveys, the development team can identify areas that need improvement and new features that users may want. This approach will not only help in maintaining customer loyalty but also enable Shirtly to remain competitive in the ever-evolving e-commerce market. With a focus on continuous innovation and adaptation to market trends and user preferences, the Shirtly app can become a superior and relevant online shopping platform in the eyes of consumers.
Implementation of the Naive Bayes Classifier for Sentiment Analysis of Shopee E-Commerce Application Review Data on the Google Play Store Rizkya, Adilia Tri; Rianto, Rianto; Gufroni, Acep Irham
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8993

Abstract

E-commerce in Indonesia is growing very quickly every year. The Ministry of Communication and Information (KEMKOMINFO) stated that Indonesia is the 10th largest e-commerce growth country with score 78%. One of the effects from increasing number of internet users in Indonesia is the mushrooming of shopping activities through internet media. This causes internet users want everything that instant and easy. Knowing this, most business people use it to market their products, especially in the field of goods and services. As it grows, e-commerce becomes easier to use and download. One example of an e-commerce application that is in great demand is Shopee and can be downloaded via the Google Play Store. Google Play Store has a review feature which contains user comments about the downloaded apps. Sentiment analysis is carried out to extract information related to Shopee E-commerce. The Naïve Bayes Classifier algorithm is suitable for use in sentiment analysis because this algorithm is purposeful as a classification method into positive and negative categories. The data was used from November 2022 to January 2023. From a total of 4902 review data obtained, after going through preprocessing, translation and then classification, the total data is obtained that is 4849 review data. From the data obtained it is classified 2348 positive reviews, 1259 neutral reviews, and 1242 negative reviews. Based on the results of the naive Bayes classifier method and testing with the confusion matrix, an accuracy value of 79% has been obtainednprecision 77%, recall 86%, and f1-score 81% on positive sentiment with support 2127. For neutral sentiment with an accuracy value of 83%, precision 87%, and recall 85% with support 1209, while for negative sentiment is with an accuracy value of 78%, precision 64%, and recall 70% with support 1513. From this data it is obtained micro AVG values for precision 80%, recall 79%, f1-score 79%, and support 4849, then for weighted average for precision 79%, recall 79%, f1- score 79%, and support 4849.
Text Mining-Based Sentiment Analysis of ChatGPT Users on X Platform Using Naïve Bayes Algorithm Alkamal, Chaerulsyah; Kurniadi, Dede
Journal of Applied Information System and Informatic (JAISI) Vol 3, No 2 (2025): November 2025
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v3i2.17062

Abstract

ChatGPT (Generative Pre-trained Transformer) is a natural language processing model based on Artificial Intelligence (AI) that is currently trending. ChatGPT is widely used by the public because it is considered very helpful in completing tasks or solving problems faced by society. However, as the use of ChatGPT grows, questions have arisen about how people perceive and respond to interactions with ChatGPT present. The use of ChatGPT not only creates opportunities but also new challenges in understanding user perceptions and sentiments toward this technology. For example, various controversies have emerged regarding the presence of ChatGPT. Therefore, this research aims to determine the sentiments of society, particularly among users of social media X, toward ChatGPT, and whether most of society views it positively, negatively, or neutrally. By conducting sentiment analysis and implementing Text Mining, the tendency of a particular sentiment or opinion, whether it leans toward positive, negative, or neutral, can be obtained relatively easily. The method used in this research is SEMMA (Sample, Explore, Modify, Model, Assess) with Naïve Bayes as the algorithm to be implemented. To evaluate the model, a Confusion Matrix is used. The sentiment analysis results show that out of a total of 1,314 data points, 39.4% were positive, 37.7% were neutral, and 22.9% were negative. The classification model achieved an accuracy of 72.78%, which is considered quite good.
Assessing The Impact of Water Quality on Freshwater Aquaculture: A Systematic Literature Review Bastian, Ade; Mardiana, Ardi; Koswara, Engkos; Rifki, Muhammad
Journal of Applied Information System and Informatic (JAISI) Vol 3, No 1 (2025): MEI 2025
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v3i1.14180

Abstract

Water quality is a critical determinant of ecosystem sustainability and the productivity of freshwater aquaculture. This study performed a systematic literature review (SLR) to assess the impact of water quality on the growth, health, and yield of freshwater fish. The research examines contemporary technical advancements, such as Internet of Things (IoT) systems, unmanned aerial vehicles (UAVs), machine learning prediction models, and biotechnological methods for monitoring and managing water quality. The literature selection procedure employed the PRISMA framework and encompassed 136 articles sourced from the SCOPUS database. Following rigorous screening processes, three primary publications were chosen for additional examination. The review findings indicate that parameters like dissolved oxygen (DO), pH, ammonia, and temperature significantly influence fish health and production. Contemporary technologies, such IoT and UAVs, have demonstrated their capacity to enhance the effectiveness of water quality monitoring, whilst biotechnology provides novel options for the sustainable treatment of aquaculture waste. This research offers significant insights for scholars, policymakers, and practitioners in the advancement of more efficient and sustainable aquaculture methodologies.
Implementation Of C5.0 Classification And Support Vector Machine Algorithm With Correlation-Based Feature Selection In Application Liver Disease Rachman, Andi Nur; Ramdani, Cecep Muhamad Sidik; Insani, Muhammad Hanif
Journal of Applied Information System and Informatic (JAISI) Vol 2, No 1 (2024): Mei 2024
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v2i1.10848

Abstract

Liver disease is a general term that refers to a number of disorders or problems that affect the liver. The liver is an important organ in the human body and has many diverse functions, including food processing, protein production, toxin removal, and energy storage. Therefore, when the liver experiences disorders or disease, it can have a serious impact on the overall health and function of the body. Liver disease is a significant global health problem. Early detection as well as classification of liver disease can provide valuable guidance for effective treatment. Based on the problems above, the aim of this research is to create a liver disease classification model using C5.0 and Support Vector Machine with Radial Basis Function (RBF) and Sigmoid kernels. With data obtained from the liver disease dataset. The two methods will be compared and we will find out which one produces the best results. The method used is also optimized with CFS (Correlation Based Feature Selection) feature selection. The results of the classification process, namely the C5.0 Model and Support Vector Machine (RBF) with CFS have a similar accuracy of 76%, while the Support Vector Machine (Sigmoid) has an accuracy of 70%, without feature selection the C5.0 algorithm has an accuracy of 66% , Support Vector Machine between RBF and sigmoid kernels has an accuracy of 69% and 55%.
Analysis of Information Technology Governance of the Tasikmalaya City Manpower Service Using Framework COBIT 2019 Nurul Annisa, Tasya; Sulastri, Heni
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8989

Abstract

Currently, the success and continuity of a company or organization is very much based on IT, in terms of speed and results that can help increase the effectiveness and efficiency of business processes to achieve goals. In its implementation, the Tasikmalaya City Manpower Department had problems with software frequently occurring applications error (system failure to operate), while problems with the website was the loss and damage of information due to attacks from hackers. To overcome this, the agency does not yet have a special section that has full control over IT governance due to the lack of staff or employees who are IT experts. These problems can be identified thoroughly with governance using the COBIT 2019 framework. The form and content of the COBIT 2019 model are updated from the previous COBIT method and many new functions are added, including enabling improvements to the IT governance system. By conducting analysis, you can provide recommendations to improve the organization's capabilities to meet the agency's expectations and goals regarding IT governance in supporting its performance.Domain The COBIT 2019 used is APO and BAI with details of the APO07, APO08, APO13 and BAI08 processes. The results of measuring the capability level of the APO07 domain at the Tasikmalaya City Power Service get a capability level 3 value, the APO08 and BAI08 domains get a capability level 2 value, and the APO13 domain gets a capability level 1 value. Providing recommendations for improving the agency's information technology governance is expected to be able to carry out immediately improving the management of agency information technology so that it immediately reaches the expected level of capability.

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