Analysis of Student Satisfaction with the Quality of Education Services and Lecturer Performance Using the Survey and Naive Bayes Methods
DOI:
10.29303/jppipa.v9i11.5367Published:
2023-11-25Downloads
Abstract
This research aims to evaluate the level of student satisfaction with the quality of educational services and the assessment of faculty performance at STMIK Tegal through a survey method and the application of Naive Bayes. The research sample consists of 100 active students from different study programs. Survey results were processed using the Naive Bayes method to assess the impact of variables related to the quality of educational services and faculty performance on the level of student satisfaction. The findings of the analysis indicate that the quality of educational services has a positive effect on student satisfaction, while faculty performance also contributes positively. This research has practical implications for improving the quality of educational services and faculty performance at STMIK Tegal. Infrastructure and facilities supporting the teaching and learning process can be enhanced, and faculty members can receive training and guidance to improve their teaching quality. In the long term, this can enhance the institution's reputation and overall student satisfaction. This study has limitations related to the limited sample size and the use of non-random sampling techniques. Therefore, future research can expand the sample size and use more representative sampling techniques to enhance the accuracy of research results
Keywords:
Educational Services Naive Bayes Student SatisfactionReferences
Ali, E. Y., Munir, M., Permana, J., & Kurniady, D. A. (2020). Academic service quality in education management in higher education. 3rd International Conference on Research of Educational Administration and Management (ICREAM 2019), 455–461. https://doi.org/10.2991/assehr.k.200130.221
Annur, H. (2018). Klasifikasi Masyarakat miskin menggunakan metode naïve bayes. ILKOM Jurnal Ilmiah, 10(2), 160–165. https://doi.org/10.33096/ilkom.v10i2.303.160-165
Becket, N., & Brookes, M. (2008). Quality management practice in higher education--what quality are we actually enhancing. Journal of Hospitality, Leisure, Sport and Tourism Education, 7(1), 40–54. https://doi.org/10.3794/johlste.71.174
Budiharso, T., & Tarman, B. (2020). Improving quality education through better working conditions of academic institutes. Journal of Ethnic and Cultural Studies, 7(1), 99–115. Retrieved from https://www.jstor.org/stable/48710249
Carless, D. (2022). From teacher transmission of information to student feedback literacy: Activating the learner role in feedback processes. Active Learning in Higher Education, 23(2), 143–153. https://doi.org/10.1177/1469787420945845
Chandra, T., Martha-Martha, N. G., Chandra, S., & Priyono, I. (2018). The effect of service quality on student satisfaction and student loyalty: An empirical study. Journal of Social Studies Education Research, 9(3), 109–131. Retrieved from https://dergipark.org.tr/en/pub/jsser/issue/43625/534226
Fadli, M. R. (2021). Memahami desain metode penelitian kualitatif. Humanika, Kajian Ilmiah Mata Kuliah Umum, 21(1), 33–54. https://doi.org/10.21831/hum.v21i1.38075
Gerhana, Y. A., Fallah, I., Zulfikar, W. B., Maylawati, D. S., & Ramdhani, M. A. (2019). Comparison of naive Bayes classifier and C4. 5 algorithms in predicting student study period. Journal of Physics: Conference Series, 1280(2), 22022. https://doi.org/10.1088/1742-6596/1280/2/022022
Harahap, D. A., Amanah, D., Gunarto, M., Purwanto, P., & Umam, K. (2020). Pentingnya citra universitas dalam memilih studi di perguruan tinggi. Niagawan, 9(3), 191–196. https://doi.org/10.24114/niaga.v9i3.20819
Homaidi, A., & Lina, A. (2019). Pengembangan Sistem Informasi Manajemen Berbasis Web dalam Rangka Mendukung Evaluasi Kinerja Akademik dan Dosen di Akademi Manajemen Informatika dan Komputer Ibrahimy. Applied Technology and Computing Science Journal, 2(1), 25–38. https://doi.org/10.33086/atcsj.v2i1.1125
Hwang, Y.-S., & Choi, Y. K. (2019). Higher education service quality and student satisfaction, institutional image, and behavioral intention. Social Behavior and Personality: An International Journal, 47(2), 1–12. https://doi.org/10.2224/sbp.7622
Jalota, C., & Agrawal, R. (2019). Analysis of educational data mining using classification. 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 243–247. https://doi.org/10.1109/COMITCon.2019.8862214
Kumar, T. R., Vamsidhar, T., Harika, B., Kumar, T. M., & Nissy, R. (2019). Students performance prediction using data mining techniques. 2019 International Conference on Intelligent Sustainable Systems (ICISS), 407–411. https://doi.org/10.1109/ISS1.2019.8907945
Lagman, A. C., Calleja, J. Q., Fernando, C. G., Gonzales, J. G., Legaspi, J. B., Ortega, J. H. J. C., Ramos, R. F., Solomo, M. V. S., & Santos, R. C. (2019). Embedding Naïve Bayes algorithm data model in predicting student graduation. Proceedings of the 3rd International Conference on Telecommunications and Communication Engineering, 51–56. https://doi.org/10.1145/3369555.3369570
Lubis, H., Lubis, I., & Mita, F. D. (2020). Aplikasi Pengukuran Tingkat Kepuasan Mahasiswa Terhadap Layanan Akademik Menggunakan Metode IPA (Importance Performance Analysis). Jurnal Inovasi Informatika, 5(2), 161–170. https://doi.org/10.51170/jii.v5i2.65
Martono, S., Nurkhin, A., Pramusinto, H., Afsari, N., Arham, A. F., & others. (2020). The Relationship of Good University Governance and Student Satisfaction. International Journal of Higher Education, 9(1), 1–10. Retrieved from https://eric.ed.gov/?id=EJ1234056
Masserini, L., Bini, M., & Pratesi, M. (2019). Do quality of services and institutional image impact students’ satisfaction and loyalty in higher education? Social Indicators Research, 146, 91–115. https://doi.org/10.1007/s11205-018-1927-y
Mulyono, H., Hadian, A., Purba, N., & Pramono, R. (2020). Effect of service quality toward student satisfaction and loyalty in higher education. The Journal of Asian Finance, Economics and Business (JAFEB), 7(10), 929–938. https://doi.org/10.13106/jafeb.2020.vol7.no10.929
Naim, A., & Alahmari, F. (2020). Reference model of e-learning and quality to establish interoperability in higher education systems. International Journal of Emerging Technologies in Learning (IJET), 15(2), 15–28. https://doi.org/10.3991/ijet.v15i02.11605
Pace, D. S. (2021). Probability and non-probability sampling-an entry point for undergraduate researchers. International Journal of Quantitative and Qualitative Research Methods, 9(2), 1–15. Retrieved from https://ssrn.com/abstract=3851952
Purba, B., & Syahputra, R. (2021). Implementasi metode Naive Bayes Classifier pada Evaluasi Kepuasan Mahasiswa terhadap Pembelajaran Daring. InfoTekJar: Jurnal Nasional Informatika Dan Teknologi Jaringan, 6(1), 85–91. Retrieved from https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/4352
Qomariah, N., Budiastuti, A., Sanosra, A., Susbiani, A., & Budisatoto, E. (2020). Building Student Satisfaction and Loyalty Based on Service Quality and Institutional Image. SSRG International Journal of Economics and Management Studies (SSRG-IJEMS), 7(9), 24–33. Retrieved from http://repository.unmuhjember.ac.id/13793/1/IJEMS-V7I9P103.pdf
Rawal, A., & Lal, B. (2023). Predictive model for admission uncertainty in high education using Naïve Bayes classifier. Journal of Indian Business Research, 15(2), 262–277. https://doi.org/10.1108/JIBR-08-2022-0209
Rozaq, A., Yunitasari, Y., Sussolaikah, K., Sari, E. R. N., & Syahputra, R. I. (2022). Analisis Sentimen Terhadap Implementasi Program Merdeka Belajar Kampus Merdeka Menggunakan Naive Bayes, K-Nearest Neighboars Dan Decision Tree. Jurnal Media Informatika Budidarma, 6(2), 746–750. https://doi.org/10.30865/mib.v6i2.3554
Rudini, R. (2016). Peranan statistika dalam penelitian sosial kuantitatif. Jurnal Saintekom, 6(2), 53–66. https://doi.org/10.33020/saintekom.v6i2.13
Saritas, M. M., & Yasar, A. (2019). Performance analysis of ANN and Naive Bayes classification algorithm for data classification. International Journal of Intelligent Systems and Applications in Engineering, 7(2), 88–91. https://doi.org/10.18201//ijisae.2019252786
Setiadi, H. (2021). Analisis Kepuasan Mahasiswa Terhadap Kinerja Dosen Sekolah Tinggi Ilmu Ekonomi Jambi. Jurnal Manajemen Terapan Dan Keuangan, 10(03), 497–511. https://doi.org/10.22437/jmk.v10i03.15776
Simbolon, R. W., Siallagan, S., Munte, E. D., & Barus, B. (2022). Pengukuran Kepuasan Mahasiswa Terhadap Kualitas Pelaksanaan Proses Pembelajaran Menggunakan Metode Importance Performance Analysis (Studi Kasus: AMIK Medan Business Polytechnic). LOFIAN: Jurnal Teknologi Informasi Dan Komunikasi, 1(2), 21–28. Retrieved from https://ejournal.umbp.ac.id/index.php/lofian/article/view/171
Sodikin, E. S. L., Ruhiyat, M. D., Yulianto, A., & others. (2021). Klasifikasi Data Pinjaman Koperasi Menggunakan Algoritma Naive Bayes. Paradigma, 23(2). https://doi.org/10.31294/p.v23i2.11084
Umar, N., Nur, M. A., & others. (2022). Application of Naïve Bayes Algorithm Variations On Indonesian General Analysis Dataset for Sentiment Analysis. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 6(4), 585–590. https://doi.org/10.29207/resti.v6i4.4179
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