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All Journal Jurnal Informatika dan Teknik Elektro Terapan Panrannuangku Jurnal Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Pedagogy : Jurnal Pendidikan Matematika Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer (BALOK) Teknovokasi : Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Journal of Vocational, Informatics and Computer Education Indonesian Technology and Education Journal Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Journal of Computers, Informatics, and Vocational Education Media of Computer Science
Nasrullah, Asmaul Husnah
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : Media of Computer Science

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Evaluation Of Fuzzy C-Means Method For District Clustering Nasrullah, Asmaul Husnah; Fajar, Andi Muhammad; Taufiq, Muhammad Aqsha; Rahmat, Nuzulul; Adiba, Fhatiah
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.203

Abstract

This study analyses the use of Fuzzy C-Means algorithm to cluster districts in South Sulawesi based on the education level of the population. Two distinct groups were found with several districts falling into each group after 17 iterations to reach the optimal solution. The clustering results were visualised with a point spread graph. The Fuzzy C-Means algorithm was executed using Python with certain parameters. The research aims to improve the quality of education with proper resource allocation and identification of districts based on the highest education. The data used includes education indicators and district minimum wage. The results are expected to provide input for a more targeted education policy in South Sulawesi. Fuzzy C-Means algorithm is effective for analysing and clustering education data in education policy decision making.
Co-Authors Abdul Muis Mappalotteng Adiba, Fhatiah Ahmad Fudhail  Majid Akbar, Muh. Akbar, Muh. Arsan Al Amanah Muslimin, Muh. Nur Hidayat Andi Baso Kaswar Andi Baso Kaswar Ashadi, Nini Rahayu Ashadi, Ninik Rahayu asmaun, asmaun Clarisha, Windi Dewi Fatmarani Surianto Dewi, Shabrina Syntha Dirawan, Gufran Darma Eka Budiarti, Nur Azizah Fajar, Andi Muhammad Fani, A. Astri Merilsa Hamda, Hamda Hasnining, Ayu Kaswar, A Baso Kurnia Wahyu Prima Liani, Ahyani Mirah Muhammad Fajar B Muntazarah, Fediyatun NFH, Alifya NFH, Alifyah Rahmat, Nuzulul Sudirman Melangi Sukayasa, I Nengah Sulaiman, Dwi Rezky Anandari Syahrul Syahrul Syam, Abd. Azis Taufiq, Muhammad Aqsha Wardani, Ayu Tri