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<http://digilib.unila.ac.id/id/eprint/64458> <http://purl.org/dc/terms/title> "ANALISIS METODE FUZZY C-MEANS (FCM) DAN FUZZY\r\nGUSTAFSON-KESSEL (FGK) PADA PENGELOMPOKAN KABUPATEN\r\nDI PULAU JAWA BERDASARKAN INDIKATOR KESEJAHTERAAN"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.unila.ac.id/id/eprint/64458> <http://purl.org/ontology/bibo/abstract> "Masalah utama yang sedang dihadapi pemerintah di Pulau Jawa adalah\r\nketimpangan sosial dan ekonomi yang disebabkan oleh program pembangunan\r\npemerintah yang tidak terlaksana secara merata keseluruh kabupaten. Penelitian\r\nini bertujuan untuk melakukan klasterisasi dan menetukan klaster optimal pada\r\nkabupaten di Pulau Jawa berdasarkan indikator kesejahteraan dengan\r\nmenggunakan algoritma fuzzy clustering, yaitu Fuzzy C-Means (FCM) dan Fuzzy\r\nGustafson-Kessel (FGK) dengan menggunakan software RStudio. Adapun\r\nanalisis klaster adalah suatu alat untuk mengelompokan sejumlah objek\r\nberdasarkan variabel yang mempunyai kesamaan karakteristik diantara objekobjek tersebut, sehingga keragaman dalam suatu klaster tersebut lebih kecil\r\ndibandingkan dengan keragaman antar klaster. Pada penelitian ini digunakan\r\nindeks validitas Xie-Beni Index (XBI) untuk mengevaluasi jumlah klaster optimal\r\nsehingga diperoleh pengelompokan terbaik. Hasil yang diperoleh pada kedua\r\nmetode dalam penelitian ini yaitu jumlah klaster 2 merupakan klaster yang\r\noptimal untuk pengelompokan data kesejahteraan kabupaten di Pulau Jawa.\r\nKata Kunci: analisis klaster, fuzzy c-means, fuzzy gustafson-kessel, xie-beni\r\nindex."^^<http://www.w3.org/2001/XMLSchema#string> .
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