IMPLEMENTASI ALGORITMA GENETIKA BENTROKAN JADWAL TUGAS PEMBINA KOMUNITAS DI BINA IMAN ANAK ANTONIUS

TELYSANA, JOESE RIO (2022) IMPLEMENTASI ALGORITMA GENETIKA BENTROKAN JADWAL TUGAS PEMBINA KOMUNITAS DI BINA IMAN ANAK ANTONIUS. S1 thesis, Universitas Mercu Buana Jakarta-Menteng.

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Abstract

Penjadwalan adalah proses dalam pengorganisasian, penentuan waktu, dan pemilihan penggunaan sumber daya agar menghasilkan keluaran yang diharapkan dan dalam waktu yang di harapkan juga. Penelitian ini bertujuan untuk menyusun jadwal shift kerja yang sesuai dengan kemampuan para mentor yang ada dengan meng-generate otomatis jadwal dengan cepat sehingga dapat bermanfaat dalam memperoleh model penjadwalan shift pembina, mengoptimalkan penjadwalan shift kerja sehingga tepat waktu dan mengurangi bentrok jadwal dalam pembagian jadwal shift kerja. Adapun model penjadwalan shift kerja pembina ini menggunakan algoritma genetika. Algoritma genetika sendiri merupakan algoritma yang dapat digunakan untuk meng-generate hasil penjadwalan sesuai dengan input-an yang ada. Hasil akhir dari implementasi algoritma genetika dalam penjadwalan shift kerja di pembina Bina Iman Anak Antonius ini diperoleh dari kromosom yang memiliki nilai fitness terbaik. Kata kunci: Shift, Penjadwalan, Algoritma Genetika. Scheduling is the process of organizing, set timing, and selecting the use of resources to produce the expected output in the expected time. This study aims to develop a work shift schedule that is in accordance with the abilities of existing mentors by generating automatic schedules quickly. In order to be useful in obtaining a supervisory shift scheduling model, optimizing work shift scheduling to be on time, and reducing schedule conflicts in the distribution of work shift schedules, the supervisor work shift scheduling model uses a genetic algorithm. The genetic algorithm itself is an algorithm that can be used to produce scheduling results according to the existing input. The final result of implementing the genetic algorithm in scheduling work shifts at the Antonius Child Faith Development Trustees (mentors) was obtained from Kromosom which had the best fitness value. Keyword: Shift, Schedule, Genetic Algorithm.

Item Type: Thesis (S1)
NIM/NIDN Creators: 41518110067
Uncontrolled Keywords: Shift, Schedule, Genetic Algorithm;Shift, Penjadwalan, Algoritma Genetika.
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: Priyo Raharjo
Date Deposited: 27 Aug 2022 04:22
Last Modified: 27 Aug 2022 04:22
URI: http://repository.mercubuana.ac.id/id/eprint/68594

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