Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Dengan Metode SAW

This research aims to develop a decision support system for employee recruitment at PT. ABC using the Simple Additive Weighting (SAW) method. The company's current recruitment process is still manual, often resulting in subjective decisions and inconsistent selection results. This study implements the SAW method to provide objective and consistent recommendations for employee selection based on predetermined criteria including interviews, competency tests, academic grades, work experience, and personality. The system was developed using PHP and a MySQL database. Test results showed that the SAW method can provide accurate ranking recommendations for prospective employees compared to manual selection by Human Resources experts. Implementation of this system is expected to improve the quality of employee recruitment decisions and reduce the time required for the selection process.

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Publication Details

Journal
Jurnal Informatika
Published
2025-06-30
DOI
https://doi.org/10.30873/jurnalinformatika.v25i6
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Dengan Metode SAW

Akhmad Aris Tantowi, Reggie Inalawie
Jurnal Informatika
Management and Optimization Techniques
article

Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Dengan Metode SAW

Akhmad Aris Tantowi, Reggie Inalawie
article en

Abstract

This research aims to develop a decision support system for employee recruitment at PT. ABC using the Simple Additive Weighting (SAW) method. The company's current recruitment process is still manual, often resulting in subjective decisions and inconsistent selection results. This study implements the SAW method to provide objective and consistent recommendations for employee selection based on predetermined criteria including interviews, competency tests, academic grades, work experience, and personality. The system was developed using PHP and a MySQL database. Test results showed that the SAW method can provide accurate ranking recommendations for prospective employees compared to manual selection by Human Resources experts. Implementation of this system is expected to improve the quality of employee recruitment decisions and reduce the time required for the selection process.

Jurnal InformatikaVol. 25(1)
Universitas Indraprasta PGRI (ID), Informatics and Business Institute Darmajaya (ID)
Openalex Percentile: Top 67%
Management and Optimization Techniques
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