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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Biota EDUMATIC: Jurnal Pendidikan Informatika BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer International Journal of Trends in Mathematics Education Research (IJTMER) GENIUS: Indonesian Journal of Early Childhood Education Oshada
Handayani, Luluk
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Other

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Journal : BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer

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Implementasi Algoritma Fuzzy C-Means untuk Pengelompokkan Provinsi di Indonesia Berdasarkan Kualitas Perguruan Tinggi Zahro, Ira Halimatuz; Rosyidah, Ulya Anisatur; Handayani, Luluk
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 5 No 1 (2024): March
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v5i1.102

Abstract

The education system in Indonesia is very large and complex with low quality. The quality of Indonesian education can improve, one way is by having equal distribution of education in every province in Indonesia. This equality can be one solution to improve the quality of graduates in Indonesia. This equality can be done by grouping Indonesian provinces with low quality education. One grouping method that can be used is the Fuzzy C-Means algorithm, which is a clustering technique that is determined by the degree of membership in each data point in one cluster. The grouping process was carried out using 136 data on Higher Education Gross Enrollment Rates in 34 provinces from 2019-2022. The data was processed using the Fuzzy C-Means algorithm and then a search for optimal clusters was carried out using the help of the Partition Coefficient Index. Based on testing from 2 to 10 clusters, the optimum cluster is 2 clusters, with a Partition Coefficinet Index value of 0.83491. In the optimum cluster, we get cluster 1 with 20 provinces and cluster 2 with 14 provincial groups. Characteristics resulting from data from 2019 to 2022, cluster 1 has provincial members with the lowest higher education APK compared to cluster 2, especially in cluster 1 members, namely Kep province. Bangka Belitung which has the lowest higher education APK is 2019 with 14.27 APK, 2020 with 14.73 APK, 2021 with 15.23 APK, 2022 14.85 APK.
Co-Authors A'yun, Qurrota Abdul Karim Angellina, Sherly Ari Eko Wardoyo Arriza, Nurul BE, Gloria Fortunata Bima Suryantara Dimas Anditha Cahyo Sujiwo Efendi, Achmad Oky Evi Evi Hadi Mulyono Liza, Erviana Maula, Inayatul Melyani Melyani, Melyani Pabidang, Siswanto Rahma, Restu Aulia Ulya Anisatur Rosyidah Windiyati, Windiyati Zahro, Ira Halimatuz