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Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/45307
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dc.contributor.authorPramudia, Aris
dc.contributor.authorKoesmaryono, Yonny
dc.contributor.authorLas, Isral
dc.contributor.authorJune, Tania
dc.contributor.authorAstika, I Wayan
dc.contributor.authorRuntunuwu, Eleonora
dc.date.accessioned2011-05-19T06:21:27Z
dc.date.available2011-05-19T06:21:27Z
dc.date.issued2008
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/45307
dc.description.abstractThe paper describes about rainfall zoning and rainfall prediction modeling and its use for rice availability and vuinerability analysis. The study used rainfall data from Station Baros (Banten region), Station Karawang and Station Kasomalang Subang (Nortern Coastal of West-Java, and Station Tarogong (Garut). Fuzzy clostering methods, that was applied for rainfall zoning, used the representative data for El-Nino, La-Nina and normal means condition during 1980-2006 periods.en
dc.publisherIPB (Bogor Agricultural University)
dc.relation.ispartofseriesVolume 31;No.2-
dc.subjectrainfall prediction model, fuzzy clustering, neural network analysis, rice vulnerabilityen
dc.titlePewilayahan Hujan O6N Model Prediksi Curah Hujan untuk Mendukung Analisis Ketersediaan dan Kerentanan Pangan di Sentra Produksi Padien
dc.title.alternativeForum Pascasarjana Vol.31 No.2 April 2008: 131-142en
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