Implementation of PROMETHEE-GAIA Method for Lecturer Performance Evaluation

Abstract

Abstract Assessing the progress of lectures ensures the involvement of lectures in the exercise of science dissemination by research, education, and community service. That job affects the performance of lecturers at universities throughout the country. The performance of lecturers is evaluated regularly because of the vast number of evaluation attributes. Manual assessment can take time and cannot be carried out. In the evaluation of lecturer’s outcomes, a decision support model is needed to facilitate decision making. This study applies the preference ranking organization method for enrichment assessment (PROMETHEE) as a decision model in Multi-Criteria Decision Making (MCDM) and Geometric Analysis for Interactive Aid (GAIA) as a geometric analysis in determining lecturer performance. This analysis resulted in the maximal value of an alternative of 2 with Phi 0.2333, followed by 1 and 3 alternatives. These results suggest that alternative 2 is the best way to assess the performance of lecturers as the main indicator. Alternative 3 is the least recommendable alternative because of its lowest precision on the basis of visualization results.

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