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

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

Decision Support System

Multi Attribute Utility Theory

Student Recruitment

Teacher Candidate Recruitment

Recruitment is an important aspect 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. The decision support system is present to assist decision-makers in receiving appropriate recommendations for prospective teacher students who have been selected. This study employs the MAUT method's development, which is carried out in stages, hence the Multi-Level MAUT. Because assessment metrics are classified, we combine several MAUT methods to reach a final decision. The algorithm used produces good results, namely the ability to rank correctly based on stakeholder preferences.

Wahid, Abdul

Muharram, Muharram

A. Rauf, Bakhrani

Agung, Muhammad

Yohandri, Yohandri

Baharuddin, Baharuddin

Sila, I Nyoman

Suyanta, Suyanta

Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]; 60-74

2774-4353

Association for Scientific Computing, Electronics, and Engineering (ASCEE)

2022-04-25

Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion