Abstract
The hybrid method is a combination of the Analytical Hierarchy Process (AHP) method, the Profile Matching method, and the Composite Performance Index (CPI) method, which is used as a process in a decision support system (DSS) to select the best performing lecturers. The selection process requires a systematic mechanism to ensure consistency and transparency in making decisions. So this study used a hybrid method with the criteria listed in the teaching and learning scorecard and the results of student evaluations for selecting the best-performing lecturers. This research aims to provide knowledge about the computed value of the priority level and consistency ratio of criteria from the AHP method, as well as the competence GAP value from profile matching and the ranking value for each alternative using the CPI method. Results showed that the hybrid method succeeded in calculating the weight value of the level of importance and the criteria consistency ratio of 0.049 and was able to determine the best-performing lecturer from 46 alternatives as a candidate with the highest ranking score of 141.12.
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More From: International Journal on Soft Computing, Artificial Intelligence and Applications
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