Decision Support System for Private Teacher Selection Optimation using Simple Additive Weighting Algorithm

Muharram, Asep Taufik; Maulana, Hata; Marcheta, Noorlela; Matin, Iik Muhamad Malik; Zhafarina, Alyani; Yusdisti, Iga

doi:10.1109/citsm56380.2022.9935953

Cited by 1 publication

(2 citation statements)

References 12 publications

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“…The SAW (Simple Additive Weighting) Method (26,27,28,29,30) is a multi-attribute decision-making (MADM) technique used to evaluate and rank alternatives based on multiple criteria. It is a relatively straightforward method, making it popular for various applications.…”

Section: Theorymentioning

confidence: 99%

“…One of them is utilizing computer-based decision support systems [16]- [23]. Many different problems have been solved using decision support systems, especially in the fields of education, health, and other public areas [24]- [29], [30]- [32]. A good system is therefore required to choose the best students for internships at the BPKD office.…”

Section: Introductionmentioning

confidence: 99%

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Decision Support System for Selecting the Best Internship Students using SAW Method

Siringo-Ringo,

Sugara

2023

IOTA

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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.

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