Group Decision Making Using Mean SAW Borda and Decision Maker-Based Criteria Weighting

In an organization, unfair decisions are often a problem. Therefore, this study creates a group decision-making model to optimize the achievement of fair decisions. This study combines the Mean and Simple Additive Weighting Borda (SAW Borda) methods. The combination of these methods is called Mean SAW Borda. The Mean calculation is used to obtain the average value of decision-makers. The mean value can be the weight of the group decision-making criteria. The weight is the reference for the SAW Borda calculation. This aims to optimize fair decisions. The SAW Borda calculation provides group decisions. This study uses data on the election of a university's head of the Informatics Engineering study program. In the study program, 24 decision-makers gave scores to choose the head of the study program. The Means SAW Borda method calculates the assessment, and the result is that A4 has the highest decision value (1923.26573). The results of the Mean SAW Borda method are the same as those of the conventional election. The conventional method chooses A4 to be the elected candidate. Based on these results, the Mean SAW Borda method can produce fair decisions and is agreed upon by decision-makers.

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Publication Details

Journal
Journal of Information Systems and Informatics
Published
2025-06-30
DOI
https://doi.org/10.51519/journalisi.v7i2.1132
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

Group Decision Making Using Mean SAW Borda and Decision Maker-Based Criteria Weighting

Dwi Nor Amadi, Pradityo Utomo
Journal of Information Systems and Informatics
Multi-Criteria Decision Making
article

Group Decision Making Using Mean SAW Borda and Decision Maker-Based Criteria Weighting

Dwi Nor Amadi, Pradityo Utomo
article en

Abstract

In an organization, unfair decisions are often a problem. Therefore, this study creates a group decision-making model to optimize the achievement of fair decisions. This study combines the Mean and Simple Additive Weighting Borda (SAW Borda) methods. The combination of these methods is called Mean SAW Borda. The Mean calculation is used to obtain the average value of decision-makers. The mean value can be the weight of the group decision-making criteria. The weight is the reference for the SAW Borda calculation. This aims to optimize fair decisions. The SAW Borda calculation provides group decisions. This study uses data on the election of a university's head of the Informatics Engineering study program. In the study program, 24 decision-makers gave scores to choose the head of the study program. The Means SAW Borda method calculates the assessment, and the result is that A4 has the highest decision value (1923.26573). The results of the Mean SAW Borda method are the same as those of the conventional election. The conventional method chooses A4 to be the elected candidate. Based on these results, the Mean SAW Borda method can produce fair decisions and is agreed upon by decision-makers.

Journal of Information Systems and InformaticsVol. 7(2)
Universitas Merdeka Madiun (ID)
Openalex Percentile: Top 79%
Multi-Criteria Decision Making
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