Jurnal Informatika dan Rekayasa Perangkat Lunak

Implementation of an Adaptive Reward and Punishment System for Student Behavior Assessment Using the Fuzzy Mamdani Method

Ravindra Maulana Sahman — 2026-09-21

Student behavior assessment in Indonesian secondary schools typically relies on a rigid point system that tracks compliance but ignores peer-observable social behavior, lacking a mechanism to compensate across dimensions. This study presents SiPandu, a Fuzzy Mamdani-based Decision Support System that integrates three variables, attendance percentage (X1), cumulative behavior points (X2), and peer-assessment scores (X3) into a single adaptive score using the ADDIE R&D model. These variables were standardized to a [0,100] scale and processed via 27 IF-THEN rules with discrete centroid defuzzification, yielding four categories: Needs Guidance, Fair, Good, and Excellent. Content-validated by a school counselor, the peer-assessment instrument aligns with Indonesian Ministerial Regulation No. 10 of 2025. Built with Next.js and Supabase alongside a 7-badge gamification layer, the system was piloted on 39 students at a public senior high school in Bandung. Black-box testing achieved a 100% success rate across 20 scenarios, confirming proper Row Level Security. System Usability Scale (SUS) testing (n=17) yielded a mean score of 65.88 (OK/Marginal), revealing a gap between administrative users (92.5) and students (62.33). Manual simulation confirmed the model's compensation mechanism, where strengths in one dimension offset weaknesses in another without resorting to binary pass/fail outcomes. These findings show that Fuzzy Mamdani inference effectively softens the rigidity of conventional behavior assessments while remaining interpretable for non-technical homeroom teachers.

Usability Evaluation of Social Commerce Integration on TikTok Shop Among Generation Z Using System Usability Scale

Khairunnisa Najla Nugrahaini — 2026-09-21

The development of social commerce has driven the integration of e-commerce features into social networking platforms, one of which is the presence of TikTok Shop within the short-video application TikTok. The combination of entertainment and transaction functionalities into a single screen has the potential to trigger cognitive overload if the interface is not intuitively designed. Unlike previous studies that evaluated the application in aggregate, this research specifically measures the usability level of this hybrid interface from the perspective of Generation Z, a demographic with high expectations for practical digital navigation. This quantitative research was executed using the System Usability Scale (SUS) method, involving Generation Z respondents who were tested using 10 standard Likert-scale statements. The data calculation results were then analyzed and classified based on standard SUS measurement parameters, which include a grade scale, adjective rating, and acceptability ranges. Through this evaluation, objective conclusions can be drawn regarding the extent to which the integration of shopping features on the TikTok short-video application interface is able to provide a user-friendly, comfortable, and effective experience for the Generation Z demographic

Implementation of the Collaborative Filtering Algorithm in a Cultural Event Recommendation Application for Bekasi City

Nurfiyah — 2026-09-22

The dissemination of information regarding cultural events in Bekasi City has not yet been fully optimized, resulting in uneven public participation across various cultural activities. This issue arises from the absence of a recommendation system capable of suggesting cultural events based on users' interests and preferences. This study aims to implement the User-Based Collaborative Filtering algorithm with the Pearson Correlation approach in a web-based cultural event recommendation system. The research methodology involved observation, interviews, and the collection of user rating data from 100 respondents, with the sample size determined using the Slovin formula. The recommendation process was carried out by calculating the average rating of each user, measuring the similarity between users using the Pearson Correlation coefficient, and predicting ratings for events that had not yet been evaluated by the target user. The results demonstrate that the proposed system is capable of identifying similarities in user preferences and generating personalized event recommendations that align with users' interests. In the case study, the predicted rating for User1 on the Pesta Nada event was 3.76, indicating a high likelihood that the event would be of interest to the user and therefore suitable for recommendation. The implementation of this recommendation system is expected to assist the public in discovering cultural events that match their preferences while supporting the Bekasi City Tourism and Culture Office in disseminating event information more effectively, thereby increasing public participation in cultural activities.

Development of a Web-Based E-Commerce System for Amelia Hantaran Using the V-Waterfall Model

Muhammad Mahardicka Alfattah Zelda — 2026-09-22

The rapid growth of the digital economy has encouraged Micro, Small, and Medium Enterprises (MSMEs) to adopt technology in order to improve competitiveness and business performance. However, many wedding gift (seserahan) businesses still rely on conventional methods and social media platforms such as WhatsApp and Instagram for marketing and ordering processes, which often lead to inefficiencies and limited access to real-time information. This study aims to design and develop a web-based wedding gift rental information system for Amelia Hantaran to improve service quality and operational efficiency. The system is developed using the Waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The proposed system provides features such as user registration, product catalog access, and online ordering, as well as administrative functions for managing product and order data. The results show that the developed system facilitates customers in accessing product information and placing orders more efficiently, while also assisting business owners in managing data more structured and organized. Therefore, implementing this system can enhance business performance and support the digital transformation of MSMEs in the wedding gift sector.

A Web-Based Order Monitoring and Tracking System with RBAC and Agile Scrum at PT Sucofindo's Jambi Branch

dapit triandi — 2026-09-28

Order handling at PT SUCOFINDO's Jambi Branch is still done by hand through a shared spreadsheet, even though the Coal (Batubara) portfolio alone averages 125 orders a month, the highest volume among all portfolios. This manual approach creates several issues: there is no access restriction, so every user can alter data without clear control; order status is rarely updated consistently; physical documents are hard to trace; and reporting is still handled in a conventional way. To address these issues, this study designs and builds a web-based Order Monitoring and Tracking System (SIMDOR) fitted with a Role-Based Access Control (RBAC) mechanism. The research is applied in nature, combining descriptive and experimental approaches, with data gathered through interviews and direct observation of the company's business processes. The system was built using the Agile Scrum method over three sprints, with ReactJS as the frontend framework, Firebase as the backend and real-time database, and Cloudinary for storing digital documents. Testing combined Black Box Testing and User Acceptance Testing (UAT); the Black Box results show that every core function performed as expected, while the UAT, involving seven respondents across different user roles, recorded an acceptance rate of 85.71%, placing it in the Very Good category. These results confirm that combining RBAC with Agile Scrum produces an order monitoring system that is secure, responsive to user needs, and ready for operational use, while also offering practical value for the company and academic value for web-based information systems research.