Artikel Jurnal :: Kembali

Artikel Jurnal :: Kembali

Metode C-Means Cluster Dan Fuzzy C-Means Cluster Pada Kasus Pengelompokan Desa Menurut Status Ketertinggalan (Studi Di Kota Metro Dan Kabupaten Lampung Timur)

Sukim; (Sekolah Tinggi Ilmu Statistik (STIS-Statistics Institute Jakarta, 2014)

 Abstrak

Cluster analysis is a mult ivariate analysis technique used to classify objects such that the objects in a cluster are very similar and the objects in different clusters are quite different. This study will discuss the non-hierarchical clustering methods. The methods are C-Means Cluster and Fuzzy C-Means Cluster. These methods are suitable for large data and continuous variables. This study would also present the application of the methods on the case of village grouping according to the underdevelopment status in two regions of level II (Kota Metro and Kabupaten Lampung Timur) in Lampung Province. The unit of observations in this study are 257 villages in Kota Metro (22 villages) and Kabupaten Lampung Timur in Lampung Province obtained from the Village Potential Statistics (Podes - Potensi Desa) 2008.
The results show that the optimal cluster in Kota Lampung data is 4, with a minimum value of the Fukuyama-Sugeno validity index is at -45.4649. As for the data of Kabupaten Lampung Timur, theoptimumnumber ofclustersis13,with aminimum value of the Fukuyama-Sugeno validity index is at 196.9629.

 Metadata

Jenis Koleksi : Artikel Jurnal
No. Panggil : JASKS 6:2 (2014)
Entri utama-Nama orang :
Subjek :
Penerbitan : Jakarta: Sekolah Tinggi Ilmu Statistik (STIS-Statistics Institute Jakarta, 2014
Sumber Pengatalogan :
ISSN : 20864132
Majalah/Jurnal : Jurnal Aplikasi statistika dan komputasi statistik 6:2 (2014) hal.19-51
Volume : vol 6 no 2 Tahun 2015 Hal.: 19- 51
Tipe Konten : text
Tipe Media : unmediated
Tipe Carrier : volume (rdcarrier)
Akses Elektronik :
Institusi Pemilik : Perpustakaan Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4 (Ruang koleksi jurnal)
  • Ketersediaan
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No. Panggil No. Barkod Ketersediaan
JASKS 6:2 (2014) TERSEDIA
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