Article Per Year (5 Year)
p-Index From 2020 - 2025
1.048
P-Index
This Author published in this journals
All Journal Media Jurnal Informatika The Es Economics and Entrepreneurship West Science Interdisciplinary Studies West Science Interdisciplinary Studies SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Hidayatullah, Aldi
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : SEMINAR TEKNOLOGI MAJALENGKA (STIMA)

 1 
SISTEM INFORMASI PENJADWALAN MATA PELAJARAN BERBASIS WEB MENGGUNAKAN ALGORITMA GENETIKA (STUDI KASUS: SMK GLOBAL JATITUJUH) Hidayatullah, Aldi; Suhendri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of information technology has transformed modern education, particularly in managing school schedules efficiently. In vocational schools like SMK Global Jatitujuh, scheduling conflicts frequently arise due to limited classroom availability, teacher workload, and the addition of new subjects. These conflicts negatively affect teaching efficiency and student learning outcomes. This study proposes a web-based school timetable system using the Genetic Algorithm, an evolutionary computation method that optimizes scheduling through selection, mutation, and crossover operations. The system processes data on subjects, teachers, classrooms, and time slots to generate conflict-free and optimized timetables. The objectives are to implement a web-based scheduling system that minimizes timetable clashes and enhances the efficiency of educational management. Results indicate that the system effectively reduces scheduling conflicts, accelerates timetable generation, and decreases human errors in manual scheduling. In conclusion, the proposed system significantly improves the management of school schedules at SMK Global Jatitujuh, supports the teaching and learning process, and ensures an optimized allocation of educational resources. This approach demonstrates the potential of Genetic Algorithm-based web systems in modern educational scheduling solutions.
Co-Authors Agung Prayitno Diayuddin, Muhammad Dziya Mahmudah Mahmudah Nur Faizah, Putri Alya Qoriani, Hersa Farida Suhendri