Application of Mamdani Fuzzy Inference Method in Selection of Contract Employees of PT Kreasi Utama Mandiri
Abstract
This study aims to improve the performance of the employee selection system. This research uses the Mamdani Fuzzy Inference System to determine the suitability of job applicants for the company. Recommendations for job applicants can be used as a reference for selecting permanent employees. The common problem in selecting permanent employees is the difficulty for the company in assessing and selecting competent job applicants, as the company has to compare the test results of each job applicant one by one, requiring a long time. In addition, the most difficult thing in making decisions is eliminating someone's subjectivity, so that every decision made is objective based on the criteria expected by the company. The results of this study proved that by applying mamdani fuzzy inference to the selection of contract employees at PT. Kreasi Utama Mandiri can facilitate management in selecting contract employees with an accuracy of 90% when compared to HRD assessments.
Downloads
References
Copyright (c) 2024 Antivirus : Jurnal Ilmiah Teknik Informatika
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License
