Designing an automated matching model to enhance recruitment process

<p>Detecting qualified candidates for a vacant position is a difficult task, especially when there are numerous applicants. This delays team development in finding the appropriate individual at the right moment. Adopting a well-structured selection process will create opportunities for new aspects and ideas. In this paper, the matching job applicant (MJA) model is developed to assist all parties, the employers and the employees simultaneously by providing a fair, transparent unbiased solution constructed by using a mathematical machine. This provides a clear justification in the decision-making process in addition to advising the applicants with the most suitable positions that fits their qualifications.</p>

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Publication Details

Journal
Indonesian Journal of Electrical Engineering and Computer Science
Published
2025-08-01
DOI
https://doi.org/10.11591/ijeecs.v39.i2.pp1081-1091
Primary Topic
Scheduling and Timetabling Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing an automated matching model to enhance recruitment process

Haneen Hijazi, Izzeddin Matar, Ebaa Fayyoumi, Sahar Idwan
Indonesian Journal of Electrical Engineering and Computer Science
Scheduling and Timetabling Solutions
article

Designing an automated matching model to enhance recruitment process

Haneen Hijazi, Izzeddin Matar, Ebaa Fayyoumi, Sahar Idwan
article en

Abstract

<p>Detecting qualified candidates for a vacant position is a difficult task, especially when there are numerous applicants. This delays team development in finding the appropriate individual at the right moment. Adopting a well-structured selection process will create opportunities for new aspects and ideas. In this paper, the matching job applicant (MJA) model is developed to assist all parties, the employers and the employees simultaneously by providing a fair, transparent unbiased solution constructed by using a mathematical machine. This provides a clear justification in the decision-making process in addition to advising the applicants with the most suitable positions that fits their qualifications.</p>

Indonesian Journal of Electrical Engineering and Computer ScienceVol. 39(2)
Hashemite University (JO), Petra University (JO)
Openalex Percentile: Top 76%
Scheduling and Timetabling Solutions
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Designing an automated matching model to enhance recruitment process — Haneen Hijazi, Izzeddin Matar, et al. · Indonesian Journal of Electrical Engineering and Computer Science (2025) | TGRS Research Map | TGRS