Perangkat Lunak Perhitungan Perubahan Jabatan Dengan Menggunakan Fuzzy Analytical Hierarchy Process (studi kasus : UIN Sunan Ampel Surabaya)
DOI:
https://doi.org/10.58836/query.v1i01.634Abstract
This study discusses the promotion in an institution by considering many factors, and the submission must be conducted objectively, not subjectively. To be able to give an objective assessment results in every employee by considering all the assessment criteria, one of the methods that can be used is the method of Fuzzy Analytical Hierarchy Process (AHP). From the results of research using Fuzzy Analytical Hierarchy Process method showed that the greatest weight virmansyah discount the value that is equal to 80.78 so a great opportunity to get a change or a promotion. Decision to change positions, it gives the rank order value candidates as a recommendation for promotion to employees. So with the Decision Support System with Analytical Hierarchy Process method can help and facilitate career planning manager (sale or transfer) to save time, costs, and more objective.Downloads
Published
2017-04-29
Issue
Section
Articles
License
Authors who publish with this journal agree to the following terms:
- that this article contains no violation of any existing copyright or other third party right or any material of a libelous, confidential, or otherwise unlawful nature, and that I will indemnify and keep indemnified the Editor and THE PUBLISHER against all claims and expenses (including legal costs and expenses) arising from any breach of this warranty and the other warranties on my behalf in this agreement;
- that I have obtained permission for and acknowledged the source of any illustrations, diagrams or other material included in the article of which I am not the copyright owner.
- on behalf of any co-authors, I agree to this work being published in Query: Jurnal Sistem Informasi as Open Access, and licenced under a Creative Commons Licence, 4.0 https://creativecommons.org/licenses/by/4.0/legalcode. This licence allows for the fullest distribution and re-use of the work for the benefit of scholarly information.
