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All Journal PROSIDING SEMINAR NASIONAL Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan JPIn : Jurnal Pendidik Indonesia Journal of Innovation Research and Knowledge Hikamatzu Journal of Multidisciplinary Research
Rahman Hidayat
Unknown Affiliation
Religion Humanities Earth & Planetary Sciences Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Journal : PROSIDING SEMINAR NASIONAL

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PENGELOMPOKAN KABUPATEN/KOTA DI JAWA TENGAH MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS Rahman Hidayat; Rochdi Wasono; Moh. Yamin Darsyah
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

The Poverty is still a serious problem, especially in Indonesia. Central Java is the province with the highest percentage of poor people in Java Island 13, 19%,the figure is above the national poverty rate. In this research will be an analysisof the factors affecting poverty in Central Java. The statistical approach used inthis case is cluster analysis. Cluster analysis is an analysis that aims to classifyan object (region) based on similarity characteristics of data. The method usedis the method of K-Means and Fuzzy C-Means. The object of research isgrouped into 4 clusters. The result of grouping shows that K-Means method isthe best method based on SW and SB ratio of 0.124. Keywords: Data Mining, K-means, Fuzzy C-Means
Co-Authors A. Malik Abdul Hanan Basri " Dahlia Dahlia Devi Rahayu Agustin Intan Dwi Hastuti M. Risdamuddin Moh. Yamin Darsyah Muhammad Sultan Hali NUR ALAMSYAH Rochdi Wasono Siti Sofro Sidiq Suparmi Suparmi