IT Support Division Employee Selection Decision Support System Using Simple Additive Weighting Method

In today’s digital era, the need for a qualified workforce in the field of IT Support is in-creasing along with the rapid development of information technology. The selection of the right employees is very important to ensure the efficiency and effectiveness of companies’ operations. This research aims to develop a decision support system (SPK) in the IT Support division employee selection process using the Simple Additive Weighting (SAW) method. This method was chosen because of its ability to process qualitative and quantitative data to produce optimal decisions. The results of this study show that the proposed system can assist managers in selecting the most suitable candidates based on predetermined criteria. Thus, it is expected that this system can improve the quality of the recruitment process in companies.

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Published
2025-09-25
DOI
https://doi.org/10.3390/engproc2025107106
Primary Topic
Management and Optimization Techniques
Type
article
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IT Support Division Employee Selection Decision Support System Using Simple Additive Weighting Method

Carti Irawan, Iwan Setiawan, Sudin Saepudin, Dety Aristiani et al.
Management and Optimization Techniques
article

IT Support Division Employee Selection Decision Support System Using Simple Additive Weighting Method

Carti Irawan, Iwan Setiawan, Sudin Saepudin, Dety Aristiani, Annisa Dika Cahya Utami
article en

Abstract

In today’s digital era, the need for a qualified workforce in the field of IT Support is in-creasing along with the rapid development of information technology. The selection of the right employees is very important to ensure the efficiency and effectiveness of companies’ operations. This research aims to develop a decision support system (SPK) in the IT Support division employee selection process using the Simple Additive Weighting (SAW) method. This method was chosen because of its ability to process qualitative and quantitative data to produce optimal decisions. The results of this study show that the proposed system can assist managers in selecting the most suitable candidates based on predetermined criteria. Thus, it is expected that this system can improve the quality of the recruitment process in companies.

Universitas Wijaya Putra (ID), Universitas Muhammadiyah Sukabumi (ID)
Openalex Percentile: Top 62%
Management and Optimization Techniques
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IT Support Division Employee Selection Decision Support System Using Simple Additive Weighting Method — Carti Irawan, Iwan Setiawan, et al. · (2025) | TGRS Research Map | TGRS