Penerapan Algoritma K-Means Untuk Clustering Penilaian Dosen Berdasarkan Indeks Kepuasan Mahasiswa

Authors

  • Aldi Nurzahputra Universitas Negeri Semarang
  • Much Aziz Muslim Universitas Negeri Semarang
  • Miranita Khusniati Universitas Negeri Semarang

DOI:

https://doi.org/10.33633/tc.v16i1.1284

Abstract

Dalam lingkup perguruan tinggi, aktivitas penilaian kinerja juga diterapkan untuk menilai kinerja dosen. Dasar yang digunakan dalam penilaian tersebut menggunakan dasar tri dhrama perguruan tinggi. Dalam penilaian kinerjanya, diperlukan data terkait kepuasan mahasiswa terhadap dosen. Data yang digunakan dalam penelitian ini adalah data kepuasan mahasiswa jurusan Ilmu Pengetahuan Alam, FMIPA, UNNES, berjumlah 146 untuk semua dosen di prodi yang berjumlah 12 dosen. Dalam pengambilan data menggunakan kuesioner dari Badan Penjaminan Mutu Unnes. Varibale yang digunakan (1) kehandalan dosen (reliability); (2) sikap tanggap (responsiveness); (3) jaminan (assurance); dan (4) empati (empathy). Data akan diolah dengan melakukan clustering kinerja dosen dalam cluster baik, atau kurang. Metode clustering yang digunakan dalam penelitian ini adalah metode K-Means. Cetroid data untuk cluster_baik 17.099 dan cluster_kurang 15.874. Sehingga diperoleh penilaian dosen berdasarkan indeks kepuasan mahasiswa dengan 5 dosen cluster_baik dan 7 dosen_cluster kurang. Hasil yang dari penelitian dapat digunakan untuk meningkatkan kinerja dosen dalam mengajar untuk meningkatkan indeks kepuasan mahasiswa. Kata kunci—Clustering, K-Means, Data Mining, Penilaian Dosen 

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Published

2017-01-09

Issue

Vol. 16 No. 1 (2017): Februari 2017

Section

Articles

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Copyright (c) 2017 Aldi Nurzahputra, Much Aziz Muslim, Miranita Khusniati

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