Kohesi: Jurnal Sains dan Teknologi

Articles

Vol. 10 No. 7 (2025): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

Klasifikasi Tingkat Kepuasan Mahasiswa terhadap Kinerja Dosen Menggunakan RapidMiner dan Algoritma C4.5

Submitted
December 11, 2025
Published
2025-12-12

Abstract

Assessment of student satisfaction with lecturer performance is essential for improving the quality of learning in higher education. This study aims to classify the level of student satisfaction at Bina Sarana Informatika University (UBSI) Kaliabang in 2025 using the C4.5 algorithm implemented through RapidMiner. The data were collected from questionnaires distributed to fifth-semester students of the Information Systems study program, with indicators such as teaching methods, clarity of material, interaction, and lecturer discipline. The results indicate that the C4.5 algorithm  is capable of classifying the level of student satisfaction based on emerging response patterns and generating decision rules that provide a clearer understanding of the factors influencing students’ perceptions of lecturer performance.

 

Keywords: student satisfaction, lecturer performance, C4.5 algorithm, classification, RapidMiner, higher education evaluation, decision tree.

Penilaian kepuasan mahasiswa terhadap kinerja dosen penting untuk meningkatkan mutu pembelajaran di perguruan tinggi. Penelitian ini bertujuan mengelompokkan tingkat kepuasan mahasiswa Universitas Bina Sarana Informatika (UBSI) Kaliabang Tahun 2025 menggunakan algoritma C4.5 yang diimplementasikan melalui RapidMiner. Data diperoleh dari kuesioner mahasiswa Prodi Sistem Informasi semester 5 dengan indikator seperti metode mengajar, kejelasan materi, interaksi, dan kedisiplinan dosen. Hasil menunjukkan bahwa algoritma C4.5 mampu mengklasifikasikan tingkat kepuasan mahasiswa berdasarkan pola jawaban yang muncul, serta menghasilkan aturan keputusan yang membantu memberikan gambaran lebih jelas mengenai faktor-faktor yang mempengaruhi persepsi mahasiswa terhadap kinerja dosen.

 

Kata Kunci: kepuasan mahasiswa, kinerja dosen, algoritma C4.5, klasifikasi, RapidMiner, evaluasi pendidikan tinggi, pohon keputusan.

References

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