ADDITIVE RATIO ASSESSMENT MODEL FOR LECTURER PERFORMANCE EVALUATION

AMIN, M. MIFTAKUL and DWITAYANTI, YEVI (2023) ADDITIVE RATIO ASSESSMENT MODEL FOR LECTURER PERFORMANCE EVALUATION. International Conference of SNIKOM 2023.

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Abstract

Lecturers have a major contribution to the quality of higher education. One indicator of lecturer productivity is by looking at the performance that has been carried out. The higher the performance of lecturers, the higher the productivity and performance of education institutions levels. This study aimed to develop a lecturer performance evaluation model, as another alternative in evaluating lecturer performance, in addition to using the Lecturer Performance Load (BKD) which has been carried out every semester. The method used in this study was the Additive Ratio Assessment (ARAS). Based on the intuitive principle that the alternative must have the largest ratio to produce the optimal solution. This study used 5 alternatives, namely teaching activities, research activities, community service activities, supporting activities, and discipline. The results obtained show that this model has been able to provide recommendations in the form of lecturer performance rankings, from those with the highest performance to the lowest. The model succeeded in providing recommendations with the highest value of 0.852 and the lowest value of 0.591. The research that has been done, indicated that this model can be an alternative for higher education management to see the performance of lecturers.

Item Type: Article
Uncontrolled Keywords: additive ratio assessment, lecturer performance, decision support system
Subjects: T Technology > T Technology (General)
Divisions: Computer Engineering > Proceeding and Seminar
Depositing User: Mrs Trisni Handayani
Date Deposited: 19 Jun 2024 10:05
Last Modified: 19 Jun 2024 10:05
URI: http://eprints.polsri.ac.id/id/eprint/15119

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