Genetic Algorithm for Employees Work from Office Schedule

Authors

  • Muhammad Rizky Fauzi Information System Department, Faculty of Engineering, Widyatama University, 204 A Cikutra Street, Bandung, Indonesia Author
  • Made Gde Vidya Krishna Information System Department, Faculty of Engineering, Widyatama University, 204 A Cikutra Street, Bandung, Indonesia Author
  • Hardi Hidayat Information System Department, Faculty of Engineering, Widyatama University, 204 A Cikutra Street, Bandung, Indonesia Author
  • Laras Mulyani Information System Department, Faculty of Engineering, Widyatama University, 204 A Cikutra Street, Bandung, Indonesia Author
  • Septiani Nur Khasanah Information System Department, Faculty of Engineering, Widyatama University, 204 A Cikutra Street, Bandung, Indonesia Author
  • Murnawan Information System Department, Faculty of Engineering, Widyatama University, 204 A Cikutra Street, Bandung, Indonesia Author

Keywords:

Covid-19, Employees, Genetic Algorithm, Scheduling, Work From Office

Abstract

Scheduling is nothing new for every company. During the Covid-19 pandemic, many things have changed, especially in the implementation of employee scheduling in the world of work. Changes were made to the employee attendance schedule to reduce the impact of the spread of the virus in the current covid-19 pandemic. Every company enforces rules for employees to be able to work from home. However, not every company employee is required to work from home, only a few employees from the company have been scheduled to work at home and some will work in the office as usual. This research was conducted with the aim of making it easier for companies to monitor employees and provide information about scheduling to employees during this covid-19 pandemic. The Genetic Algorithm For Employees, can assist employees in providing information about their attendance schedule and provide good value for the company. The research method used in this research is the documentation study method and the scheduling model uses genetic algorithms. The purpose of the application of genetic algorithms is to produce a scheduling system modeling that is fast and processed automatically without breaking the rules that have been set. The optimal solution of this scheduling applies 40% (Work From Office), 50% (Work From Home), 10% (employees who are required to go to the office urgently).

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Published

2022-01-30

How to Cite

Fauzi, M., Krishna, M. G. V., Hidayat, H., Mulyani, L., Khasanah, S., & Murnawan. (2022). Genetic Algorithm for Employees Work from Office Schedule. CENTRAL ASIA AND THE CAUCASUS, 23(1), 4809-4818. https://ca-c.org/CAC/index.php/cac/article/view/475

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