Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution

Abstract

The purpose of this study is to apply the Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) weighting model with ranking criteria or priorities in determining Employee Performance Evaluation. The method used for the assessment of employee performance evaluation is the center of ranking and ranking order using Multi-Attribute Utility Theory (MAUT), so as to produce rankings that can be compared with the best alternative results with weighted values generated by each method. To apply the MAUT approach in decision support systems, the determination of employee performance evaluation assessment has the criteria of initiative, team working ability, communication skills, discipline, responsibility, creativity and innovation, customer service, and commitment to company values. This research aims at evaluating employee performance using MAUT and PIPRECIA-S in order to weight the criteria based on the assessment of decision makers more objectively. Based on the process of completing the application of the MAUT method using PIPRECIA-S weighting in the assessment of employee performance evaluation, among the 6 employees as the subjects of the research, the best performance was obtained by employee 4 with a final score of 0.435 as rank 1, and rank 2 was obtained by Employee 1 with a final score of 0.328, while rank 3 was obtained by Employee 3 with a final score of 0.251.

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