Penerapan Data Mining dalam Pengelompokan Uang Kuliah Tunggal (UKT) Menggunakan Metode K-Means Pada Universitas Jambi

Penulis

  • Aya Sophia Universitas Dinamika Bangsa
  • Jasmir Jasmir Universitas Dinamika Bangsa

DOI:

https://doi.org/10.33998/jurnalmsi.2024.9.1.1692

Abstrak

UKT is a single tuition fee borned by each undergraduate student at a state university in Indonesia, to be paid every semester. At Jambi University, 8 UKT groups apply to students based on the level of the student's economic condition. Determining the UKT group for new students manually is less effective because it really depends on the assessment of the assessor, the criteria for economic conditions are quite a lot, the potential for subjectivity, and the amount of data is quite large. This study grouped new students into 8 UKT groups by applying data mining using the k-Means method. The k-Means method performs clustering based on the similarity of data on student economic conditions. K-Means analysis was performed using Rapidminer and SPSS tools. The results show that there are 7 variables/attributes of economic condition parameters that can be used in k-means analysis, including: total parent/guardian income including additional income, parent/guardian employment, electricity bills, parent status, land and building tax bills, housing conditions, and the number of dependents who are still at school. The results show that between the interpretation of the k-means analysis and the real data, there was a similarity in determining the UKT group above 50% in both Rapidminer and SPSS. Thus it can be concluded that the k-Means method can be applied to support decision making in determining UKT groups for students.

Unduhan

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Referensi

Bhatia, P. 2019. Data Mining and Data Warehousing, Principles and Practical Techniques. Cambridge University Press.

IBM. 2022. K-Means Cluster Analysis. IBM Documentation. Available at: https://www.ibm.com/docs/en/spss-statistics/29.0.0?topic=edition-k-means-cluster-analysis. [Accessed 20 February 2023].

Keputusan Menteri Riset, Teknologi, dan Pendidikan Tinggi Republik Indonesia Nomor 91/M/KPT/2018 tentang Biaya Kuliah Tunggal pada Perguruan Tinggi Negeri di Lingkungan Kementerian Riset, Teknologi, dan Pendidikan Tinggi Tahun Angkatan 2018, 2018.

Mauladi, Utomo, P. E. P., Hutabarat, B. F., & Putra, R. A. 2020. Decision Support System to Determine Uang Kuliah Tunggal (UKT) by Combining Naïve Bayes Classifier and Fuzzy-TOPSIS. Journal of Physics: Conference Series, 1566(1). https://doi.org/10.1088/1742-6596/1566/1/012098.

Peraturan Menteri Pendidikan dan Kebudayaan Republik Indonesia Nomor 25 Tahun 2020 tentang Standar Satuan Biaya Operasional Pendidikan Tinggi pada Perguruan Tinggi Negeri di Lingkungan Kementerian Pendidikan dan Kebudayaan, 2020.

Peraturan Pemerintah Republik Indonesia No. 25 Tahun 2002 tentang Penetapan Besarnya Nilai Jual Kena Pajak untuk Penghitungan Pajak Bumi dan Bangunan, 2002.

Puslapdik. 2022. Pedoman Pendaftaran Kartu Indonesia Pintar Kuliah-KIP Kuliah Merdeka 2022 (Versi 1.0). Pusat Layanan Pembiayaan Pendidikan Kementerian Pendidikan, Kebudayaan, Riset dan Teknologi Republik Indonesia. https://kip-kuliah.kemdikbud.go.id/panduan.

Rotondo, A., & Quiligan, F. 2020. Evolution Path for Knowledge Discovery and Data Mining Process Model. Review Article. SN Computer Science (2020) 1:109. Springer Nature Singapore Pte Ltd 2020.

Santoso, S. 2020. Panduan Lengkap SPSS 26. PT Elex Media Komputindo.

Sharda, R., Delen, D., & Turban, E. 2018. Business Intelligence, Analytics, and Data Science: A Managerial Perspective (Fourth Edition). Pearson.

Silveira, R., Oliveira, B., Carvalho, M., & Matos, T. 2020. A Data Mining Approach for Customer Segmentation Using a SAF-T Based Business Intelligence System. International Conferences Computer Graphics, Visualization, Computer Vision and Image Processing 2020; Big Data Analytics, Data Mining and Computational Intelligence 2020; and Theory and Practice in Modern Computing 2020. https://www.oecd.org/tax/administration/45167181.pdf.

Sugiyono. 2021. Sistem Pendukung Keputusan Penetapan Uang Kuliah Tunggal Menggunakan Algoritma K-Means Clustering. Jurnal Sains, Teknologi dan Industri, 18(2), 212–219.

Undang-Undang (UU) Nomor 1 Tahun 2022 tentang Hubungan Keuangan antara Pemerintah Pusat dan Pemerintah Daerah, 2022.

Universitas Jambi. 2021. Sejarah Universitas Jambi. Available at: https://www.unja.ac.id/selayang-pandang/sejarah/. [Accessed 22 September 2022].

Wierzchoń, S. T., & Kłopotek, M. A. 2018. Modern Algorithms of Cluster Analysis (J. Kacprzyk, Ed.; Vol. 34). Springer. http://www.springer.com/series/11970

Zulfadhilah, M., Riadi, I., & Prayudi, Y. 2016. Log Classification using K-Means Clustering for Identify Internet User Behaviors. International Journal of Computer Applications, 154(3), 34–39.

Unduhan

Diterbitkan

2024-03-30

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DOI:

10.33998/jurnalmsi.2024.9.1.1692

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Cara Mengutip

Sophia, A., & Jasmir, J. (2024). Penerapan Data Mining dalam Pengelompokan Uang Kuliah Tunggal (UKT) Menggunakan Metode K-Means Pada Universitas Jambi. Jurnal Manajemen Sistem Informasi, 9(1), 24–38. https://doi.org/10.33998/jurnalmsi.2024.9.1.1692

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