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All Journal Jurnal Informatika AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Aris Tantowi, Akhmad
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Journal : jurnal informatika

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Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Dengan Metode SAW aris tantowi, akhmad; Inalawie, Reggie
Jurnal Informatika Vol 25 No 1 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalinformatika.v25i6

Abstract

This research aims to develop a decision support system for employee recruitment at PT. Syifatech Tegalindo 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 implemented 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..
Sistem Pemilihan Vendor Instalasi Menggunakan Metode Analytical Hierarchy Process dan Simple Additive Weighting Achmad Birowo; Hauzan, Muhammad; Aris Tantowi, Akhmad
Jurnal Informatika Vol 25 No 1 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalinformatika.v25i7

Abstract

Telecommunication companies in carrying out network infrastructure development cannot be separated from the existence of cooperative relationships with vendors. Considering the importance of vendor selection, an information system in the form of an application is needed to make vendor selection can be done systematically and structured. This study aims to facilitate employees in selecting vendors, analyze employee knowledge in the vendor selection process, and implement a decision support system using a combination of the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The research will be carried out in several research stages. Where, data collection is carried out through in-depth interviews, observations, and literature studies. This study involves the stages of identifying key criteria in vendor selection and determining the types of attributes of each criterion according to the SAW method, formulating a pairwise comparison matrix to determine the weight of the criteria according to the AHP formula, then calculating the best vendor ranking based on the results of the SAW calculation. The results of this study are to facilitate employees in implementing network infrastructure installation services, a support system application has been created and designed that can assist in decision making when selecting vendors. Vendor selection data has been implemented through a strategically computed system, which is able to store and manage data well so as to increase its security.
Co-Authors Achmad Birowo Hauzan, Muhammad Inalawie, Reggie Nurus Syaifullah, Muhamad Wiguna, Didik