JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 1 No. 2 (2022): June

Implementation of Genetic Algorithm for Subject Scheduling at SD Taman Cahya Pematangsiantar

Muhammad Irfan (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Muhammad Ridwan Lubis (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Zulaini Masruro Nasution (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)



Article Info

Publish Date
26 Sep 2022

Abstract

The teaching schedule in schools is essential in teaching and learning activities; this schedule aims to support, facilitate, and improve the quality of education. With a teaching schedule, teaching and learning activities will run smoothly and efficiently. Until now, the scheduling of lessons in several schools is still done conventionally by the curriculum department, with previously held meetings for the division of tasks with the supervising teacher. The conventional teaching scheduling system for school teachers will be deemed less effective. In addition to requiring very high accuracy and relatively few estimates, this method also allows for errors. Therefore, this study aims to implement a genetic algorithm to optimize subject scheduling and apply the teacher scheduling model generated by the genetic algorithm in a web application. The data of this study were collected from observations at SD Taman Cahya Pematangsiantar. As a result, scheduling using genetic algorithms can generate schedules automatically, displaying the plan on the day and hour of each teacher's teaching schedule, thus creating an optimal solution for scheduling. In addition, applying the Genetic Algorithm is faster and easier in the process of making a schedule for setting teacher teaching hours so that it does not take a long time.

Copyrights © 2022






Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...