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

2026-09-21T14:03:59+07:00

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

2026-09-21T13:45:42+07:00

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

Jurnal Informatika dan Rekayasa Perangkat Lunak

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

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