Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

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

Author 1: Soleman
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 11 · Published 2019 · Cited by 7

DOI: https://doi.org/10.14569/IJACSA.2019.0101130

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

How to Cite this Article

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

Soleman. "Decision Support System for Employee Candidate Selection using AHP and PM Methods." International Journal of Advanced Computer Science and Applications, vol. 10, no. 11, 2019, https://doi.org/10.14569/IJACSA.2019.0101130.

@article{Soleman2019,
  title     = {Decision Support System for Employee Candidate Selection using AHP and PM Methods},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {11},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Soleman},
  doi       = {10.14569/IJACSA.2019.0101130},
  url       = {https://doi.org/10.14569/IJACSA.2019.0101130}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.