Application of Data Mining to Measure the Level of Satisfaction with Public Facilities and Services at STMIK Kaputama Binjai Using Linear Regression Method

Authors

  • Rendy Zuhriansyah Pratama STMIK KAPUTAMA
  • Marto Sihombing STMIK KAPUTAMA
  • Indah Ambarita STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v4i1.646

Keywords:

Student satisfaction, educational facilities, general services, multiple linear regression, data mining, MAPE

Abstract

This study aims to analyze the level of satisfaction of STMIK Kaputama Binjai students with physical facilities (classrooms, laboratories, prayer rooms, wifi) and general services (administration, academic guidance, library, security, campus cleanliness) using multiple linear regression methods. Data were collected through questionnaires from students in the 2022/2023 academic year. The results showed that both variables have a significant effect on student satisfaction, with a regression coefficient of physical facilities of 0.40 and general services of 0.59, indicating that general services have a greater impact. Prediction of student satisfaction reached an accuracy level of 98% with a Mean Absolute Percentage Error (MAPE) value of 2%. Laboratory facilities and internet access (wifi) are the dominant factors affecting satisfaction. Based on these findings, improvements in both aspects are recommended to increase student satisfaction and institutional competitiveness.

Downloads

Download data is not yet available.

References

Titin, T. D. (2023). Hubungan Antara Sarana Prasarana, Kualitas Pelayanan dan Kepuasan Mahasiswa: Perspektif dan Implikasinya. Jurnal Bisnisman : Riset Bisnis Dan Manajemen, 4(3), 92–100. https://doi.org/10.52005/bisnisman.v4i3.128

Twin, A. (2005). Data Mining Data mining. In Mining of Massive Datasets (Vol. 2, Issue January 2013, pp. 5–20). https://www.cambridge.org/core/product/identifier/CBO9781139058452A007/type/book_part

Siregar, A. M., & Rofik, M. A. (2021). Mengukur Tingkat Kepuasan Mahasiswa Dalam Pembelajaran Dengan Naïve Bayes. Konferensi Nasional Penelitian Dan Pengabdian (KNPP) Ke-1, 1–19.

Prahmana, I. G. (2024). Penerapan Metode K – Means Clustering untuk Menentukan Kepuasan Mahasiswa terhadap Fasilitas Sarana dan Prasarana Kampus di STMIK Kaputama Binjai. 3.

Manaransyah, G., Rahman, A., & Rachmawaty, I. K. (2023). Pengaruh Kualitas Pengajaran, Kualitas Pelayanan akademik dan Lingkungan Belajar Virtual pada Kepuasan Mahasiswa Pascasarjana dalam Perkuliahan Daring. Missio Ecclesiae, 12(2), 121–132. https://doi.org/10.52157/me.v12i2.205

Yusuf Alwy, M., Herman, H, T., Abraham, A., & Rukmana, H. (2024). Analisis Regresi Linier Sederhana dan Berganda Beserta Penerapannya. Journal on Education, 06(02), 13331–13344.

Yuliara, I. M. (2016). Modul Regresi Linier Berganda. Universitas Udayana, 2(2), 18.

Muhammad Romzi, & Kurniawan, B. (2020). Pembelajaran Pemrograman Python Dengan Pendekatan Logika Algoritma. JTIM: Jurnal Teknik Informatika Mahakarya, 03(2), 37–44.

Downloads

Published

2024-10-15

How to Cite

Rendy Zuhriansyah Pratama, Sihombing, M., & Ambarita, I. (2024). Application of Data Mining to Measure the Level of Satisfaction with Public Facilities and Services at STMIK Kaputama Binjai Using Linear Regression Method. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 4(1), 411–418. https://doi.org/10.59934/jaiea.v4i1.646