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Journal of Information Systems and Technology Research
Published by Ali Institute of Research and Publication
ISSN : 28283864     EISSN : 28282973     DOI : https://doi.org/10.55537/jistr
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JISTR is a periodical journal that aims to provide scientific literature, especially applied research studies in information systems (IS) / information technology (IT), and an overview of the development of theories, methods, and applied sciences related to these subjects Focus and Scope Artificial intelligence Autonomous reasoning Bio-inspired algorithms Bio-informatics Cloud computing Data science Data mining Data visualization Decision support systems Deep learning Evolutionary computation Fuzzy logic Human-Computer Interaction Hybrid intelligent systems, Adaptation and Learning Systems IoT and smart environments Knowledge mining Machine learning Neural networks Pattern recognition Soft computing Prediction systems Signal and image processing System modeling and optimization Time series prediction Web intelligence
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 104 Documents
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Implementation of Multi-Level Association Rule Mining Based on Concept Hierarchy in Drug Transaction Analysis to Support Inventory Management Nurul Kamalia Zahra; Mohammad Idhom; Andri Fauzan Adziima
Journal of Information Systems and Technology Research Vol. 5 No. 2 (2026): May 2026
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v5i2.1606

Abstract

Drug inventory planning is a crucial aspect in logistics management in first-level health care facilities, as the availability of the right type and quantity of drugs greatly affects the quality of service and patient safety. However, in practice, there are still various problems, such as the mismatch between the amount of stock and the real need for limitations in the use of historical data on drug transactions, and the lack of optimal systems in identifying drug use patterns in a structured and data-based manner. This condition has the potential to cause stockouts and overstock, which has an impact on delays in the delivery of therapy, wasted budgets, and increased risk of expired drugs. In addition, the lack of analysis of drug use combinations also hinders more accurate decision-making in inventory planning and control. Based on these problems, this study aims to apply the Multi-Level Association Rule Mining (MLARM) method in identifying combinations of drug use based on transaction data at health facilities. The results of the study showed that the MLARM method  was effective in identifying patterns of drug use associations at various levels of the hierarchy. At the drug class level, it was found that there was a relationship between hard drugs, over-the-counter drugs, and limited over-the-counter drugs which reflected the use of combinations between drug classes in health services. At the group level of therapy, the association involves analgesics, antibiotics, antihistamines, corticosteroids, and decongestants. Meanwhile, at the level of drug names, specific combinations were found, such as Mms with Kalk, Fe with Paracetamol, Ctm with Paracetamol, and Mefenamic Acid with Amoxicillin. This information can be used to support more optimal management of drug supplies and reduce the risk of stockout and overstock.
Web-Based Employee Recruitment Information System Using Mamdani Fuzzy Logic Nurul Afifah; Asep Muhidin; Sophian Andhika Sardi
Journal of Information Systems and Technology Research Vol. 5 No. 2 (2026): May 2026
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v5i2.1729

Abstract

This study introduces a novel integration of the Mamdani Fuzzy Inference System (FIS) with a web-based recruitment platform for Special Job Fair (BKK) institutions at vocational schools a context not previously addressed in the fuzzy decision-support literature. The current manual process at BKK Jaya Abadi SMKN 1 Bukateja relies on paper-based workflows, causing data loss risks, prolonged processing times, and subjective multi-criteria evaluation. The proposed system uses three input variables  psychotest, interview, and health scores processed through fuzzification, an 18-rule inference base, MAX aggregation, and centroid defuzzification to generate objective recruitment recommendations. Testing on 35 applicant records yielded MAPE = 4.29% and accuracy = 95.71%, outperforming both the manual assessment baseline (MAPE = 12.86%, accuracy = 87.14%) and a simple weighted sum alternative (MAPE = 8.42%, accuracy = 91.58%). A paired t-test (α = 0.05) confirmed that accuracy differences are statistically significant. According to Lewis (1982), the system falls in the "Very Good" accuracy category. The system significantly reduces subjective inconsistencies in candidate evaluation while maintaining transparency and alignment with expert judgment, offering a practical and interpretable approach to automating multi-criteria recruitment decisions in BKK environments.  
Centralized Report Verification and Monitoring in Waste Bank Management: A Web-Based Information System Case Study at the Environmental Agency of Tegal City Rachma Fadilah Kurnianto; Mohammad Humam; Bayu Aji Santoso
Journal of Information Systems and Technology Research Vol. 5 No. 2 (2026): May 2026
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v5i2.1765

Abstract

Waste bank data management at the Environmental Agency of Tegal City relied on Google Forms, spreadsheet recapitulation, and manual report compilation, causing data duplication, incomplete reports, inconsistent records, and delayed monitoring; of 187 registered waste bank units, only about 30% submitted monthly reports consistently, and recapitulation took one to two weeks. Previous waste bank information systems mainly supported single-unit operations such as transaction recording and internal reporting, leaving a gap in how a public authority could centrally verify and monitor data from many decentralized units. This study addressed that gap by developing BASMAN, a web-based Waste Bank Management Information System built using the Waterfall approach, integrating master data, operational data, monthly reports, report verification, monitoring, notifications, and data export in one centralized platform with role-based access for administrators and waste bank managers. Unlike prior systems that treated data submission and acceptance as a single step, BASMAN introduced a dedicated agency-level verification stage before report approval. Blackbox Testing confirmed all 35 scenarios passed successfully, and User Acceptance Testing yielded an average score of 4.21 (84.29% acceptance), categorized as highly feasible, demonstrating that BASMAN was both functionally sound and well accepted by its intended users.
Effectiveness of Electric Bus Stops on Corridor 5 (Merdeka Square – Tembung) in Medan City Noviyanti Pakpahan; Anthoni Veery Mardianta; Gina Cynthia Raphita Hasibuan
Journal of Information Systems and Technology Research Vol. 5 No. 2 (2026): May 2026
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v5i2.1722

Abstract

Good public transport services are determined not only by the operational performance of vehicles, but also by the quality of bus stop facilities that are safe, comfortable and easily accessible to the public. The method used in this study is an analysis of operational performance based on the Decision of the Director General of Land Transportation No. 271/HK.105/DRJD/96 through a survey conducted on board buses, using parameters including load factor, headway, journey time, and vehicle stopping time. In addition, the Importance Performance Analysis (IPA) and SWOT methods were used to evaluate the level of bus stop service based on user perceptions. Data processing was carried out using IBM SPSS software. The results of the study indicate that the operational performance of public transport is relatively good but not yet optimal. Vehicle stopping time and travel time between bus stops are relatively efficient; however, load factors and the distance between buses still show variation, indicating that service regularity is not yet fully consistent. The IPA analysis reveals that the importance score (MIS) is higher than the performance/satisfaction score (MSS), suggesting that bus stop services have not yet fully met user expectations

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