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Journal : justise journal data science technology informatics and security

Sistem Pendukung Keputusan Gaya Belajar Siswa Berbasis Website Menggunakan Metode WASPAS Salik Elhanan; Mochzen Gito Resmi; Ismi Kaniawulan
Journal Data Science, Technology, Informatics and Security Vol 4 No 1 (2026): Jurnal Data Science, Technology, Informatics and Security (Juni 2026)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v4i1.5007

Abstract

Determining students' learning styles is an essential aspect of optimizing the information absorption process in learning activities. However, the learning style identification process at SMP Fullday Al-Muhajirin Purwakarta is currently still carried out through manual recapitulation which takes time and has the potential to cause subjective bias in decision making by Guidance and Counseling (BK) teachers. This research provides a solution by developing an integrated website-based Decision Support System (DSS) using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The aim is to automate the classification of students' learning styles into Visual, Auditory, or Kinesthetic (VAK) categories quickly and precisely. The software engineering method used is Prototype, which focuses on iterating user needs directly. This system was built using the Laravel 10 framework and MySQL database. The results of this research prove that the WASPAS method is able to process questionnaire instrument data into a stable decision matrix, producing structured ranking accuracy. Software testing shows that all application modules run smoothly, so this system has practically succeeded in accelerating the duration of identifying student learning styles and assisting BK teachers in designing targeted academic approach strategies.
Penerapan Rule-Based System Berbasis Data Temporal pada Sistem Monitoring Masa Kerja dan Proyeksi Pensiun Annisa Azzahra; Ismi Kaniawulan; Mochzen Gito Resmi
Journal Data Science, Technology, Informatics and Security Vol 4 No 1 (2026): Jurnal Data Science, Technology, Informatics and Security (Juni 2026)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v4i1.5015

Abstract

Personnel data management at BKPSDM Purwakarta Regency still faces challenges in monitoring employee service periods and identifying personnel approaching retirement due to the lack of automated data processing. This study aims to develop the JAPEL personnel information system by implementing a temporal data-based Rule-Based System for employee service period monitoring and retirement projection. The system was developed using the prototyping method with PHP, the Laravel Framework, and MySQL. Temporal data was applied to calculate employee age, remaining service period, and estimated retirement date, while the Forward Chaining inference method was used to classify employee status based on predefined rules. The results show that the system can monitor employee service periods, identify employees approaching retirement, project position vacancies, and generate reports automatically. Functional testing using Blackbox Testing with the Equivalence Partitioning technique confirmed that all system functions operated as expected. The developed system improves personnel data management and supports decision-making in workforce planning.