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DOI: 10.14569/IJACSA.2019.0101130
PDF

Decision Support System for Employee Candidate Selection using AHP and PM Methods

Author 1: Soleman

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 11, 2019.

  • Abstract and Keywords
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Abstract: PT. Prima Grafika is a digital printing company that is looking for the best prospective employees. Based on research and observations that have been made, the company only uses administrative data in selecting prospective employees. Processing a lot of data and documents with the same applicant's name slowing down the data processing and exceeding the time limit has been determined to get the best employees. The solution to this problem is by making a web-based system in recruitment, a decision support system combined with Analytic Hierarchy Process (AHP) method as a weighting to conduct priority criteria analysis by pairwise comparisons between two criterion so that all criteria are covered, and the Profile Matching (PM) method as a ranking. This study uses three methods of testing, namely, Black Box Testing system tested by 60 respondents who can be accepted by the company; User Acceptance Testing (UAT) obtained from 10 respondents with an ideal score of 900 produced an actual score of 779 or 86.1%, in total this whole system is acceptable; and Delone and McLean Model Test Results obtained from 10 respondents with an ideal score of 850 produced an actual score of 726 or 85.7% which is very good. With the results of ranking: A001 - Cantika Dewi = 4.12, A004-Arif Yulkianto = 3.98, A002 Eprriadi = 3,913, A003-Rika Novriani = 3,467.

Keywords: Prospective employees; decision support systems; Analytic Hierarchy Process (AHP); profile matching

Soleman , “Decision Support System for Employee Candidate Selection using AHP and PM Methods” International Journal of Advanced Computer Science and Applications(IJACSA), 10(11), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101130

@article{2019,
title = {Decision Support System for Employee Candidate Selection using AHP and PM Methods},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101130},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101130},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {11},
author = {Soleman }
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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