Algoritma Genetika Untuk Penjadwalan Karyawan Ira Stationary

Kurniasari Abram (Jurusan Matematika, Universitas Negeri Gorontalo)
Novianita Achmad (Jurusan Matematika, Universitas Negeri Gorontalo)
Muhammad Rezky Friesta Payu (Jurusan Matematika, Universitas Negeri Gorontalo)
Nurwan Nurwan (Jurusan Matematika, Universitas Negeri Gorontalo)
Djihad Wungguli (Jurusan Matematika, Universitas Negeri Gorontalo)
Asriadi Asriadi (Jurusan Matematika, Universitas Negeri Gorontalo)

Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi
EULER: Volume 11 Issue 1 June 2023

Employee scheduling is an activity plan for time sharing that contains a schedule for carrying out planned activities in the form of a table. This study aims to create an employee schedule model using a Genetic Algorithm, which is a heuristic method inspired by the process of natural selection, the strong will survive and reproduce, the stages of the Genetic Algorithm are population initialization, fitness value, selection, crossover, and mutation. The study results show an optimal model consisting of at most two shifts with a maximum of two holidays a week and not consecutively.