SISTEM PENJADWALAN BIMBINGAN BELAJAR BERBASIS WEB MENGGUNAKAN ALGORITMA GENETIKA

Abstract

Scheduling is the act, process, and method of scheduling or entering schedule data involves preparing
activities for a specific period while considering a number of variables, including classes, teachers, and time.
The scheduling procedure at Omah Sinau Tutoring is still done manually. This causes inefficient use of time
and will affect the standard of education received by students. Omah Sinau Tutoring uses genetic algorithms
as an optimization technique to create schedules in order to overcome this problem. Many optimization
problems can be solved with genetic algorithms. The benefits of analogies between the mechanisms of
natural selection and the mechanisms of interbreeding, mutation, and other features inherent in the genetic
algorithm process serve as the basis for genetic algorithm solutions, rather than mathematical calculations.
Genetic algorithms are capable of handling complex problems that are challenging to tackle by traditional
approaches. The number of populations, generations, crosses, and mutations that can be handled by the
genetic algorithm to solve the problem by generating optimal scheduling and reducing the time needed to
create the schedule so that the process of creating it becomes effective and efficient are the parameters used,
based on the results of the tests conducted.
Keywords: scheduling, genetic algorithm, tutoring.