Kurniasari Abram, N. Achmad, Muhammad Rezky Friesta Payu, Nurwan Nurwan, D. Wungguli, Asriadi Asriadi
{"title":"Algoritma Genetika Untuk Penjadwalan Karyawan Ira Stationary","authors":"Kurniasari Abram, N. Achmad, Muhammad Rezky Friesta Payu, Nurwan Nurwan, D. Wungguli, Asriadi Asriadi","doi":"10.34312/euler.v11i1.17364","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":30843,"journal":{"name":"Jurnal Teknosains Jurnal Ilmiah Sains dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknosains Jurnal Ilmiah Sains dan Teknologi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34312/euler.v11i1.17364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.