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  3. Vol. 10, No. 2, May 2025
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Vol. 10, No. 2, May 2025

Issue Published : May 31, 2025
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Clustering of High School Quality Using Fuzzy C-Means in the Special Region of Yogyakarta Province

https://doi.org/10.22219/kinetik.v10i2.2187
Lilin Rofiqatul Ilmi
Universitas Negeri Yogyakarta
Haryanto
Universitas Negeri Yogyakarta
Maria Sumunaringtyas
Universitas Negeri Yogyakarta

Corresponding Author(s) : Lilin Rofiqatul Ilmi

lilinrofiqotul.2022@student.uny.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 10, No. 2, May 2025
Article Published : May 31, 2025

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Abstract

This research aims to reveal the results of clustering high school quality using fuzzy c-means in the Special Region of Yogyakarta Province. This research is quantitative and descriptive. Data collection was conducted through documentation. The research data are secondary data from the 2023 high school education report card. The sample consisted of 51 schools, which were determined using the proportional stratified random sampling. Data analysis was performed using the quantitative descriptive method and fuzzy c-means. The results of the study are clustering on the main indicator data producing three clusters: cluster 1 consists of 11 private schools accredited A and B, cluster 2 consists of 22 public and private schools accredited A, and cluster 3 consists of 18 schools accredited A, B, and C. Cluster 2 excels with the overall best performance, cluster 1 has moderate performance with several areas needing improvement, such as instructional leadership, the use of information technology for budget management, and inclusiveness, and cluster 3 shows the lowest performance, requiring significant attention and improvement in almost all aspects, especially literacy, numeracy, instructional leadership, and the use of information technology for budget management. Cluster 3, which had the lowest performance, showed an urgent need for improvement in almost all aspects.

Keywords

Clustering Education Report Card Fuzzy C-Means School Quality
Ilmi, L. R., Haryanto, & Sumunaringtyas, M. (2025). Clustering of High School Quality Using Fuzzy C-Means in the Special Region of Yogyakarta Province. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 10(2). https://doi.org/10.22219/kinetik.v10i2.2187
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References
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References


Muli Prima Aldi, “Aktualisasi manajemen peningkatan mutu berbasis madrasah (mpmbm),” Al-Ihda’ : Jurnal Pendidikan dan Pemikiran, vol. 13, no. 2, pp. 178–189, Feb. 2022. https://doi.org/10.55558/alihda.v13i2.16

G. Chiy Ignatius, Pr. R. S. Nkeck Bidias, and Pr. D. Eleanor, “Influence of Human Resource Management on Quality of Education in Public Primary Schools in Cameroon.,” International Journal of Scientific Research and Management, vol. 10, no. 06, pp. 2409–2430, Jun. 2022. https://doi.org/10.18535/ijsrm/v10i6.el02

Naldo Janius, Mohammad Aniq Bin Amdan, Mohamad Aidil Hazidi Bin Kasdiah, Nur Izzah Binti Harifin, and Fatin Asyiera Nabila Binti Shamshol Bhari, “Educational opportunity and the purpose of schooling as self-development: A philosophical and sociological inquiry,” International Journal of Science and Research Archive, vol. 12, no. 2, pp. 2157–2166, Aug. 2024. https://doi.org/10.30574/ijsra.2024.12.2.1513

K. Liu, “Exploring Responses to Quality Education and Teaching,” Journal of Education and Educational Research, vol. 5, no. 2, pp. 44–46, Sep. 2023. https://doi.org/10.54097/jeer.v5i2.12210

H. Guo, “Research on the Construction of the Quality Evaluation Model System for the Teaching Reform of Physical Education Students in Colleges and Universities under the Background of Artificial Intelligence,” Sci Program, vol. 2022, 2022. https://doi.org/10.1155/2022/6556631

S. Alifah, “Peningkatan kualitas pendidikan di indonesia untuk mengejar ketertinggalan dari negara lain,” Jurnal Penelitian, vol. 5, no. 1, p. 114, Jul. 2021. https://doi.org/10.36841/cermin_unars.v5i1.968

D. A. Suryawan. S and T. Sugiyarto, “Inequality Of Education and Determines of It In Indonesia,” Seminar Nasional Official Statistics, vol. 2022, no. 1, pp. 1–10, Oct. 2022. https://doi.org/10.34123/semnasoffstat.v2022i1.1105

N. A. S. Harwanti and A. T. Rumiati, “Pengelompokkan mutu sekolah dasar di indonesia berdasarkan standar nasional pendidikan dengan metode fuzzy c-means,” Jurnal Sains dan Seni ITS, vol. 9, no. 2, 2021.

H. Zudianto, “Kearifan Lokal Penguasa Daerah Menghadapi Liberalisasi Pendidikan ‘Upaya Kota Yogyakarta Meningkatkan Kualitas Pendidikan,’” Unisia, vol. 29, no. 60, pp. 143–146, Jul. 2006.

W. Wartoni, “The Urgency of Educational Reports for Data Based Planning,” Jurnal Bahasa dan Sastra, vol. 12, no. 1, Aug. 2024. https://doi.org/10.60155/jbs.v12i1.449

S. Sundakir, M. Makhdalena, and H. Hambali, “Efforts to Improve the Quality of Schools Based on the Analysis of Educational Reports,” AL-ISHLAH: Jurnal Pendidikan, vol. 15, no. 4, Dec. 2023. https://doi.org/10.35445/alishlah.v15i4.3714

K. Nahar, B. I. Shova, T. Ria, H. B. Rashid, and A. H. M. S. Islam, “Mining educational data to predict students performance,” Educ Inf Technol (Dordr), vol. 26, no. 5, pp. 6051–6067, Sep. 2021. https://doi.org/10.1007/s10639-021-10575-3

Fikastiana Cahya, Theresia Wati, and Erly Krisnanik, “Perancangan sistem informasi pengolahan data akademik pada pendidikan anak usia dini berbasis website,” Journal of Applied Computer Science and Technology, vol. 2, no. 1, pp. 49–58, Jun. 2021, doi: 10.52158/jacost.v2i1.137.

Mrs. B. J. Et. al., “Comparative Study and Analysis of Students results using Clustering Techniques,” INFORMATION TECHNOLOGY IN INDUSTRY, vol. 9, no. 2, pp. 835–842, Apr. 2021. https://doi.org/10.17762/itii.v9i2.421

V. Lakhno, S. Voloshyn, S. Mamchenko, O. Kulynich, and D. Kasatkin, “Cluster Analysis for Researching Digital Footprints of Students in Educational Institutions,” Cybersecurity: Education, Science, Technique, vol. 3, no. 23, pp. 31–41, 2024. https://doi.org/10.28925/2663-4023.2024.23.3141

M. A. Muslim et al., Data Mining Algoritma C4.5, 1st ed. 2019.

Suyanto, Data Mining Untuk Klasifikasi Dan Klasterisasi Data, 1st ed. Bandung: Informatika Bandung, 2019.

Anbu, Thangavelu, and Ashok, “Fuzzy c-means based clustering and rule formation approach for classification of bearing faults using discrete wavelet transform,” Computation Journal, vol. 7, no. 4, Sep. 2019. https://doi.org/10.3390/computation7040054

F. Anggoro et al., “Revisiting cluster vulnerabilities towards information and communication technologies in the eastern island of indonesia using fuzzy c means,” Sustainability, vol. 14, no. 6, p. 3428, Mar. 2022. https://doi.org/10.3390/su14063428

A. Murugan, D. Gobinath, S. G. Kumar, B. Muruganantham, and S. Velusamy, “A time efficient and accurate retrieval of range aggregate queries using fuzzy clustering means (fcm) approach,” International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 1, p. 415, Feb. 2020. https://doi.org/10.11591/ijece.v10i1.pp415-420

Y. Lou, “Research on Quality Evaluation of Smart Education Schools Based on Fuzzy Clustering Algorithm and Strategies for Future Development,” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, Jan. 2024. https://doi.org/10.2478/amns-2024-1602

Z. Li, S. Chen, L. Pei, J. Chu, and J. Song, “Teacher Allocation and Evaluation Based on Fuzzy C-Means Clustering,” Mobile Information Systems, vol. 2022, pp. 1–9, Jun. 2022. https://doi.org/10.1155/2022/8465713

D. Vernanda, N. N. Purnawan, and T. H. Apandi, “School Clustering Using Fuzzy C Means Method,” SinkrOn, vol. 4, no. 1, p. 95, Sep. 2019. https://doi.org/10.33395/sinkron.v4i1.10168

R. R. Az-Zahra, “Analisi Perbandingan Metode Self Organizing Map dan Metode Fuzzy C-Means Pada Pengelompokkan Pemintaan Jurusan Di Sekolah Menengah Kejuruan,” MULTITEK INDONESIA, vol. 16, no. 2, pp. 65–74, Dec. 2022. https://doi.org/10.24269/mtkind.v16i2.5603

P. Kumar, “Role of ict in teacher training education,” Journal of Teacher Education and Research, vol. 17, no. 01, pp. 29–30, Jun. 2022. https://doi.org/10.36268/JTER/17106

M. Sosnova, “Information technology as a factor for improving the training of modern teachers,” Dnipro Academy of Continuing Education Herald. Series: Philosophy, Pedagogy, no. Vol. 2 No. 2 (2023), pp. 40–43, Dec. 2023. https://doi.org/10.54891/2786-7013-2023-2-9

W. H. Jeynes, “A meta-analysis on the relationship between character education and student achievement and behavioral outcomes,” Educ Urban Soc, vol. 51, no. 1, pp. 33–71, Jan. 2019. https://doi.org/10.1177/0013124517747681

N. Faiqotusshabrina, M. Fita Asri Untari, and B. Ardi Saputro, “Analisis pengetahuan dan kecakapan literasi numerasi siswa dalam pembelajaran operasi hitung bilangan bulat siswa kelas iv sekolah dasar,” Pendas : Jurnal Ilmiah Pendidikan Dasar, vol. 8, no. 1, pp. 4580–4595, Jun. 2023. https://doi.org/10.23969/jp.v8i1.8043

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KINETIK: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
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