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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Ilmu Komputer dan Agri-Informatika Jurnal CoreIT Jurnal Teknoinfo Petir Kilat TEKNOLOGIA Building of Informatics, Technology and Science TIN: TERAPAN INFORMATIKA NUSANTARA Journal Social Science And Technology For Community Service BEES: Bulletin of Electrical and Electronics Engineering Jurnal Sisfotek Global Journal of Computing and Informatics Research Bulletin of Informatics and Data Science Jurnal Teknoinfo
Palupiningsih, Pritasari
Institut Teknologi Perusahaan Listrik Negara
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Journal : Bulletin of Electrical Engineering and Informatics

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Employing PIPRECIA-S weighting with MABAC: a strategy for identifying organizational leadership elections Setiawansyah, Setiawansyah; Hadad, Sitna Hajar; Aldino, Ahmad Ari; Palupiningsih, Pritasari; Fitri Laxmi, Gibtha; Megawaty, Dyah Ayu
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7713

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.
Optimizing the best student selection: hybrid K-Means approach and entropy-grey relational analysis Sulistiani, Heni; Setiawansyah, Setiawansyah; Palupiningsih, Pritasari; Ferico Octaviansyah Pasaribu, Ahmad; Andika, Rio; Hamdan Sobirin, Muhammad
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8715

Abstract

The selection of the best students is an important process in recognizing students' achievements and dedication in various fields. Through careful and fair selection, students who stand out in both academic and non-academic terms can be identified and assigned. The purpose of the research on the use of hybrid entropy-grey relational analysis (GRA) and K-Means clustering in the selection of the best students is to develop a more objective, accurate, and comprehensive assessment system. The silhouette score results show that 2 clusters have a value of 0.5733, so in this study 2 clusters are used with the best cluster at cluster 0. Data from cluster 0 will be used in determining the best students using hybrid entropy-GRA. The results of the best student ranking using the hybrid entropy-GRA method, for the first best student with a final score of 0.25 were obtained by Mareta Amelia. The hybrid approach of K-Means and entropy-GRA offers a powerful tool to improve decision-making in the student selection process. The hybrid approach of K-Means grouping and entropy-GRA presents a powerful solution, improving the decision-making process and ensuring that high-achieving students are accurately recognized and rewarded.
Co-Authors Aditia Yudhistira Ahmad Ari Aldino Alwi Muhammad Andi Dahroni Andi Muhammad Fadel Omar Pasha Andi Nikma Sri Handayani Andika, Rio Ari Sulistiyawati Arshad, Muhammad Waqas Atam Rifai Sujiwanto Budi Prayitno Dahroni, Andi Dody Dody Eka Putra Farhan Muhamad Ikhsan Ferico Octaviansyah Pasaribu, Ahmad Firmansyah Apryadhi Gibtha Fitri Laxmi Hamdan Sobirin, Muhammad Haryono Haryono Heni Sulistiani Kusuma, Anndya Dyah Marcelindo, Fitto Megawaty, Dyah Ayu Mehta, Abhishek Meiwasandi, Putu Niar Muhammad Fadli Pratama Muhammad fadli Prathama Muhammad Fadli Prathama Nasril Sany Pratomo Prawirodirjo, Raden Ronggo Bintang Prawirodirjo, Raden Ronggo Bintang Pratomo Putri Ayu Mardhiyah Rakhmadi Irfansyah Putra Rd.M.Dimas Burhanudin Akbar Riki Ruli A. Siregar, Riki Ruli A. Setiawansyah Setiawansyah Sitna Hajar Hadad Sufiatul Maryana Sujiwanto, Atam Rifa'i Wang, Junhai Yessy Asri Yuri Rahmanto