Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Review: Journal of Multidisciplinary in Social Sciences
Nilla Rusiardi Jayanti
Universitas Indraprasta PGRI
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Learning Evaluation System Using Fisher–Yates Shuffle and Rule-Based Algorithms at SMK Kahuripan 1 Agung Ferdinan Sandy; Nilla Rusiardi Jayanti
Review: Journal of Multidisciplinary in Social Sciences Vol. 3 No. 07 (2026): July 2026
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/rjmss.v3i07.1550

Abstract

SMK Kahuripan 1 faces challenges in conventional learning evaluation, particularly lengthy assessment processes and the potential for subjective evaluation. This study aims to develop a web-based learning evaluation system for Light Vehicle Engine Maintenance (PMKR) by integrating the Fisher–Yates Shuffle and Rule-Based algorithms. The system was developed using the Waterfall model, while the Fisher–Yates Shuffle was applied to randomize question sequences and the Rule-Based System with Forward Chaining was used to automatically evaluate learning outcomes based on predetermined criteria. The results show that the developed system successfully supports question randomization, automated scoring, learning outcome evaluation, and reporting. Black Box Testing confirmed that the main system functions, including login, dashboard access, question bank management, examinations, result reporting, and practice simulations, operated according to the specified requirements. Therefore, the system provides a more efficient, objective, and structured learning evaluation process.
Co-Authors Agung Ferdinan Sandy