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

Abstract

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.