The Decision Support System of Students Recruitment as Teacher Candidates using Multilevel Multi Attribute Utility Theory (MAUT)

Muharram, Muharram and Rauf, Bakhrani A. and Agung, Muhammad and Yohandri, Yohandri and Baharuddin, Baharuddin and Sila, I Nyoman and Suyanta, Suyanta and Mulbar, Usman and Wahid, Abdul and Parenreng, Jumadi Mabe and Saman, Abdul and Yasdin, Yasdin and Abduh, Amirullah and Fajar B, Muhammad and Wahid, M. Syahid Nur (2022) The Decision Support System of Students Recruitment as Teacher Candidates using Multilevel Multi Attribute Utility Theory (MAUT). Internet of Things and Artificial Intelligence Journal (IOTA), 2 (2). pp. 60-74. ISSN 2774-4353

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Abstract

Recruitment is an essentialaspect of human resource management at a university, particularly at Makassar State University. Selection is a step in the recruitment process that determines whether prospective students who apply are a good fit for the program of study. The advancement of information systems facilitates the recruitment registration process. Currently, the assessment system for prospective student teachers is still lacking. In this study, we developed a system andan assessment rubric that was reviewed based on a theoretical approach that affects interests, personality, appearance, and academic ability. The decision support system is present to assist decision-makers in receiving appropriate recommendations for prospective teacher students who have been selected. The proposed research aims to assess prospective teacher students' graduation rankingbased on the assessment indicators from the compiled rubric. This study employs the MAUT method's development, which is carried out in stages, hence the Multi-Level MAUT,combinedwith Min-Max Normalization. Because assessment metrics are classified, we combine several MAUT methods to reach a final decision. The algorithm produces good results, namely the ability to rank correctly based on stakeholder preferences.

Item Type:	Article
Subjects:	FAKULTAS TEKNIK > Pendidikan Teknik Mesin
Divisions:	FAKULTAS TEKNIK
Depositing User:	Dr. Eng. H Muhammad Agung S.T., M.T.
Date Deposited:	27 Jun 2023 10:24
Last Modified:	27 Jun 2023 10:24
URI:	http://eprints.unm.ac.id/id/eprint/32090

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