Comparative Analysis of the Combination of AHP-SAW and AHP-WP in Making Decisions on Hiring New Employees

This paper's web-based employee recruitment the goal is to help Human Resource Development (HRD) managers automatically calculate criterion weights and alternative weights, refinement of potential employees and a faster selection process. Recommendation system applications use Combination of Simple Additive Weighting (SAW) and Analytic Hierarchy Process (AHP). The AHP method determines the importance of each professional criterion is at the moment. SAW, on the other hand, determines the position or priority of a potential employee, calculated from alternative options. In the AHP method, criteria influence the outcome of a decision. The resulting calculations are examined using the specified priority weights to see which criteria are most important. The weight value for the CI criterion was 0.0603, and the CR value was 0.0538. However, a sensitivity analysis of criterion priorities is required to examine the extent to which small effects on criterion weights change the ranking of alternatives. Based on the ranking results using AHP-WP, Fajar ranked first with a preference value of 0.1037289. You can also see how important the selection criteria are to the ranking results.

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Publication Details

Journal
Indonesian Journal of Applied Technology and Innovation Science
Published
2025-02-28
DOI
https://doi.org/10.57152/ijatis.v2i1.1777
Citations
1
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
2.23
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article

Comparative Analysis of the Combination of AHP-SAW and AHP-WP in Making Decisions on Hiring New Employees

Rizki Andreas, Margareta Amalia, Sri Maharani Sinaga, Teguh Brahmana et al.
1 citations
Indonesian Journal of Applied Technology and Innovation Science
Management and Optimization Techniques
2.23
article

Comparative Analysis of the Combination of AHP-SAW and AHP-WP in Making Decisions on Hiring New Employees

Rizki Andreas, Margareta Amalia, Sri Maharani Sinaga, Teguh Brahmana, Dian Kusmawati
article en
1 citations

Abstract

This paper's web-based employee recruitment the goal is to help Human Resource Development (HRD) managers automatically calculate criterion weights and alternative weights, refinement of potential employees and a faster selection process. Recommendation system applications use Combination of Simple Additive Weighting (SAW) and Analytic Hierarchy Process (AHP). The AHP method determines the importance of each professional criterion is at the moment. SAW, on the other hand, determines the position or priority of a potential employee, calculated from alternative options. In the AHP method, criteria influence the outcome of a decision. The resulting calculations are examined using the specified priority weights to see which criteria are most important. The weight value for the CI criterion was 0.0603, and the CR value was 0.0538. However, a sensitivity analysis of criterion priorities is required to examine the extent to which small effects on criterion weights change the ranking of alternatives. Based on the ranking results using AHP-WP, Fajar ranked first with a preference value of 0.1037289. You can also see how important the selection criteria are to the ranking results.

Indonesian Journal of Applied Technology and Innovation ScienceVol. 2(1)
Malikussaleh University (ID), Universitas Islam Negeri Sultan Syarif Kasim Riau (ID), Riau University (ID)
Openalex Percentile: Top 13%
Management and Optimization Techniques
2.23
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