A PENERAPAN METODE SUBTRACTIVE FUZZY C-MEANS PADA TINGKAT PARTISIPASI PENDIDIKAN JENJANG SEKOLAH MENENGAH ATAS/SEDERAJAT DI KABUPATEN/KOTA PULAU KALIMANTAN TAHUN 2018 Application of the Fuzzy C-Means Subtractive Method at the Level of Education Participation at the Senior High School /Equivalent on District/City Kalimantan Island in 2018 : Penerapan Metode Subtractive Fuzzy C-Means pada Tingkat Partisipasi Pendidikan Jenjang Sekolah Menengah Atas/sederajat di Kabupaten/Kota Pulau Kalimantan Tahun 2018

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Widya - Suerni
Memi Nor Hayati
Rito Goejantoro


Cluster analysis is a data exploration method uses to obtain hidden characteristics by forming data clusters. One of the cluster analysis methods is Subtractive Fuzzy C-Means (SFCM). SFCM is a combination of Subtractive Clustering and Fuzzy C-Means methods. The SFCM method has the advantages of not requiring many iterations and the results obtained are more stable and accurate than the FCM and SC methods. This study aims to determine the result of clustering on the enrollment rate data for Senior High School (SHS) / equivalent. The data used were the enrollment rate data for high school / equivalent level in the Regency / City of Kalimantan Island in 2018 using three variables, namely the Crude Participation Rate (CPR), the School Participation Rate (SPR) and the Net Enrollment Rate (NER). Based on the three validity indices, namely Partition Coefficient Index (PCI) Validity Index, Modified Partition Coefficient Index (MPCI), and Xie & Beni Index (XBI) in the SFCM method, the optimal cluster were two clusters.

Keywords: clustering, education, Subtractive Fuzzy C-Means


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