ANALISIS KINERJA DOSEN MENGGUNAKAN KLASIFIKASI FUZZY INFERENCE SYSTEM

MELIYAWATI, MELIYAWATI (2023) ANALISIS KINERJA DOSEN MENGGUNAKAN KLASIFIKASI FUZZY INFERENCE SYSTEM. S2 thesis, Universitas Mercu Buana - Menteng.

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Abstract

Kinerja dosen merupakan salah satu faktor penentu keberhasilan proses belajar mengajar di perguruan tinggi. Wujud kinerja dosen diantaranya pendidikan dan pengajaran, penelitian dan pengabdian masyarakat. Permasalahan penelitian yaitu terdapat dosen yang belum maksimal melaksanakan kegiatan pembelajaran dan dosen yang terlambat memberikan nilai ujian mahasiswa menyebabkan terganggunya proses penginputan nilai ke sistem. Tujuan dari penelitian ini adalah untuk mengklasifikasian kinerja Dosen. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kuantitatif. Pengumpulan data dilakukan melalui penyebaran kuesioner. Teknik analisis data yang digunakan yaitu fuzzy inference system metode mamdani, dengan menetapkan rule base, proses fuzzifikasi, proses inferensi, dan proses difuzzifikasi melalui Matlab Fuzzy Logic ToolBox. Hasil temuan ini menunjukan bahwa kinerja dosen dapat diklasifikasikan menjadi sangat tinggi, tinggi dan cukup. Hasil yang diperoleh penelitian dengan menggunakan metode mamdani dapat dikembangkan lagi dengan cara mengkombinasikan fuzzy dengan metode lainnya guna menghasilkan keakuratan yang lebih baik. Kata Kunci: kinerja dosen, fuzzy inference system, metode mamdani Lecturer performance is one of the determining factors for the success of the teaching and learning process in tertiary institutions. The manifestations of lecturer performance include education and teaching, research and community service. The research problem is that there are lecturers who have not maximally carried out learning activities and lecturers who are late in giving student exam scores causing disruption to the process of inputting grades into the system. The purpose of this study is to classify lecturer performance. This research is a descriptive research with a quantitative approach. Data collection was carried out through distributing questionnaires. The data analysis technique used is the fuzzy inference system mamdani method, by setting a rule base, the fuzzification process, the inference process, and the fuzzification process through the Matlab Fuzzy Logic ToolBox. These findings indicate that lecturer performance can be classified into very high, high and sufficient. The results obtained by research using the mamdani method can be further developed by combining fuzzy with other methods to produce better accuracy. Keywords: lecturer performance, fuzzy inference system, mamdani method

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