Employing PIPRECIA-S weighting with MABAC: a strategy for identifying organizational leadership elections

The election of organizational leaders, especially in organizations whose members have diverse backgrounds and interests, can cause various problems. Problems in the selection of school organization leaders include the absence of an objective selection of organizational leadership candidates because they are selected based on comparisons between candidates without considering the criteria in the selection of organizational leadership candidates. Research related to the multi-attributive border approximation area comparison (MABAC) and simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) methods has never been conducted so far, so it is a reference in conducting this research using the MABAC and PIPRECIA-S methods. This study aims to select the head of the school organization using the MABAC method and PIPRECIA-S weighting can increase the objectivity of the criteria assessment results by relying on calculations from the PIPRECIA-S weighting method. Based on the selection results using the MABAC method and PIPRECIA-S weighting, candidate 1 was recommended as the leader of the school organization because it achieved rank 1 with a total score of 0.293. The contribution of this research is to help in the selection of the head of the organization using the PIPRECIA-S and MABAC methods as a decision-making solution.

Authors

Publication Details

Journal
Bulletin of Electrical Engineering and Informatics
Published
2024-09-20
DOI
https://doi.org/10.11591/eei.v13i6.7713
Citations
5
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
3.90
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article

Employing PIPRECIA-S weighting with MABAC: a strategy for identifying organizational leadership elections

Pritasari Palupiningsih, Setiawansyah Setiawansyah, Dyah Ayu Megawaty, Sitna Hajar Hadad et al.
5 citations
Bulletin of Electrical Engineering and Informatics
Data Mining and Machine Learning Applications
3.90
article

Employing PIPRECIA-S weighting with MABAC: a strategy for identifying organizational leadership elections

Pritasari Palupiningsih, Setiawansyah Setiawansyah, Dyah Ayu Megawaty, Sitna Hajar Hadad, Gibtha Fitri Laxmi, Ahmad Ari Aldino
article en
5 citations

Abstract

The election of organizational leaders, especially in organizations whose members have diverse backgrounds and interests, can cause various problems. Problems in the selection of school organization leaders include the absence of an objective selection of organizational leadership candidates because they are selected based on comparisons between candidates without considering the criteria in the selection of organizational leadership candidates. Research related to the multi-attributive border approximation area comparison (MABAC) and simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) methods has never been conducted so far, so it is a reference in conducting this research using the MABAC and PIPRECIA-S methods. This study aims to select the head of the school organization using the MABAC method and PIPRECIA-S weighting can increase the objectivity of the criteria assessment results by relying on calculations from the PIPRECIA-S weighting method. Based on the selection results using the MABAC method and PIPRECIA-S weighting, candidate 1 was recommended as the leader of the school organization because it achieved rank 1 with a total score of 0.293. The contribution of this research is to help in the selection of the head of the organization using the PIPRECIA-S and MABAC methods as a decision-making solution.

Bulletin of Electrical Engineering and InformaticsVol. 13(6)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Data Mining and Machine Learning Applications
3.90
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