IMPLEMENTASI ALGORITMA FUZZY C-MEANS DALAM CLUSTERING TINGKAT KEPUASAN MAHASISWA TERHADAP FASILITAS PENDIDIKAN

Authors

  • Abdul Aziz Ardana
  • Bambang Irwansyah

DOI:

https://doi.org/10.54314/jssr.v9i3.6367

Keywords:

Clustering, Data Mining, Educational Facilities, Fuzzy C-Means, Student Satisfaction

Abstract

The assessment of student satisfaction regarding educational facilities at the Faculty of Engineering, Universitas Asahan, has been subjective and limited to manual recapitulation. This study aims to implement a web-based Fuzzy C-Means (FCM) algorithm (using PHP and MySQL) to group student satisfaction levels more objectively. This study uses primary data obtained from questionnaires given to 200 respondents. Based on the computational testing results, the FCM algorithm successfully reached convergence and grouped the data into three clusters. From a total of 200 data, 89 respondents were in the Dissatisfied cluster (C1), 64 respondents in the Moderately Satisfied cluster (C2), and 47 respondents in the Satisfied cluster (C3). This system is also capable of grouping qualitative data in the form of student suggestions according to their clusters. This implementation is proven effective in generating accurate information as a comprehensive evaluation report for faculty leaders to prioritize eduacational facility improvements.

Downloads

Download data is not yet available.

References

Mutiara Putri Nasution, U., & Al-Kautsar Aidilof, H. (2022). SISTEMASI: Jurnal Sistem Informasi Implementasi Fuzzy C-Means untuk Menentukan Tingkat Kepuasan Mahasiswa dalam Pembelajaran Online Implementation of Fuzzy C-Means to Determine Student Satisfaction Levels in Online Learning. In Januari (Vol. 11, Number 1).

Nabila, G., Putri, S., Ispriyanti, D., Widiharih, T., Statistika, D., & Diponegoro, U. (2022). Implementasi algoritma fuzzy c-means dan fuzzy possibilistics c-means untuk klasterisasi data tweets pada akun twitter tokopedia 1,2,3. 11

Sherlyna Nurdiyanti, D. N. Y. (2023). Penentuan Banyak Klaster Optimal Hasil Fuzzy C-

Means Dengan Metode Elbow Pada Kasifikasi Kecemasan Belajar Siswa (Studi

Kasus: Siswa Smp Negeri 1 Tuban Dan Sma Negeri 1 Tuban Jawa. Jurnal Ilmiah Matematika, 11(03), 401–413.

Apriani, S., Daniel Kurniawan, & Abdul Rahman. (2025). Optimalisasi Website Pemerintahan Desa Menggunakan Laravel dan MySQL. Jurnal Inovasi Komputer (INOKOM), 1(2), 96–108.

Agus Juniarta, G., Heryanda, K. K., & Suwena, K. R. (2025). Peran Kualitas Pelayanan, Penggunaan Teknologi Informasi, dan Harapan Mahasiswa Terhadap Kepuasan Mahasiswa di Fakultas Ilmu Pendidikan. Jwm (Jurnal Wawasan Manajemen), 13(3), 149–159.

Arif, A., Sulaiman, D., & Christyanti, R. D. (2022). Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Dosen Pendidikan Agama Islam Menggunakan Fuzzy C-Means (Studi Kasus Di Universitas Kaltara). Jurnal Ilmiah Teknologi Informasi Asia, 16(1).

Azzahra, A., Kurniawan, A. D., Bawono, D., Fauziah, E., Kurnia, I., Fathan, N., & Hanan, A. F. (2025). Analisis Kepuasan Mahasiswa Terhadap Fasilitas Kampus di Universitas ABC Untuk Meningkatkan Kualitas Pendidikan Melalui Pendekatan Quality Function Deployment. Jurnal Pendidikan Dan Teknologi Indonesia, 5(3), 705–717.

Bobby Tria Novaldi, Rendra Gumilar, & Gugum Gumilar. (2025). Pengaruh Kualitas Informasi Perkuliahan Dan Sarana Prasarana Terhadap Kepuasan Mahasiswa.

Ismail, A. N., Pupita, D., & Daniel, D. F. (2024). The Impact of Campus Facilities and Lecturer Services on Student Satisfaction in Higher Education. International Journal of Applied and Scientific Research, 2(8), 657–662.

Downloads

Published

2026-06-06

Issue

Vol. 9 No. 3 (2026): June 2026

Section

Artikel

License

Copyright (c) 2026 Abdul Aziz Ardana, Bambang Irwansyah

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

IMPLEMENTASI ALGORITMA FUZZY C-MEANS DALAM CLUSTERING TINGKAT KEPUASAN MAHASISWA TERHADAP FASILITAS PENDIDIKAN. (2026). JOURNAL OF SCIENCE AND SOCIAL RESEARCH, 9(3), 3057-3065. https://doi.org/10.54314/jssr.v9i3.6367