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Penerapan Logika ANFIS Sistem Penilaian Kinerja Dosen Pada Tri Dharma dan Perilaku Kerja

Kiswanto Kiswanto scopus  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Benny Wijaya Benny  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Yurindra Yuri  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Marini Mar  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Sarwindah Sarwindah  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
*Supardi Supardi  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Open Access Copyright (c) 2022 JSINBIS (Jurnal Sistem Informasi Bisnis)

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Abstract

This research is motivated by several problems related to the not-yet optimal implementation of the performance assessment of tri dharma lecturers and work behavior on the ISB Atma Luhur campus. The importance of this research is because the tri dharma lecturer performance appraisal system and work behavior are useful for study program accreditation and university accreditation. The purpose of this study is to make lecturers responsible for the tri dharma and work behavior. The method used in this study is the ANFIS logic method. The results of this study are in the form of a lecturer's report card or a lecturer's performance assessment for one semester issued by SPMI. The variables used are education and teaching 40%, research 20%, dedication 10%, and work behavior 30%. The main result is the report card for each lecturer. The main finding from the lecturers' report cards, a decision can be made for SPMI to reprimand lecturers whose lecturers report cards to fall into the category of "BAD" lecturer performance. The average teaching value obtained is 3,624 plus the research value is 2,920 plus the service value is 2,800 plus work behavior, the value is 2,908. Lecturer performance value = 0.4 teaching plus 0.2 research plus 0.1 community service plus 0.3 work behavior. Equals 1.450 plus 0.584 plus 0.280 plus 0.872 equals 3.186. So the performance value of this lecturer is included in the category of "GOOD" lecturer performance.

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Keywords: Lecturer Performance Assessment System; Adaptive Neuro Fuzzy Inference System Logic; Hybrid Algorithm; Backpropagation Algorithm

Article Metrics:

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