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All Journal Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal EK dan BI Internet of Things and Artificial Intelligence Journal
Siringo-ringo, Eko Deswin
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Journal : Internet of Things and Artificial Intelligence Journal

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Decision Support System for Selecting the Best Internship Students using SAW Method Siringo-Ringo, Eko Deswin; Sugara, Heru
Internet of Things and Artificial Intelligence Journal Vol. 3 No. 4 (2023): Vol. 3 No. 4 (2023): Volume 3 Issue 4, 2023 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v3i4.660

Abstract

The goal of this study is to find a solution to the issue of choosing the best student internship for the BPKD office in Pematangsiantar city. This office chooses the best interns candidates in order to hire candidates who are competent, skilled, able to improve their adaptability and perception in improving their performance and carrying out the tasks assigned. A Decision Support System (DSS) powered by computers is used to carry out this selection. The SAW approach is applied by the decision support system. Responsibility, Delay, Attitudes/Ethics, Presence, and Cooperation are the criteria employed in this strategy. The results of the study include recommendations for the top interns, with Mona Rachel Sitohang coming in at number one with an alternative value of 0.7500, followed by Irviana Soneta Manalu at number two with a value of 0.7042, and Elsa Paulina Simanjuntak at number three with a value of 0.6042. This office may find it simpler to choose the top students internship candidates with the use of this decision assistance system.
Co-Authors Berlien, Richard Erikson Damanik Istiqomah, Azizah Manalu, Andi Setiadi Parapat, Eka Pratiwi Siregar, Victor Marudut Mulia Sugara, Heru