Pewilayahan Hujan O6N Model Prediksi Curah Hujan untuk Mendukung Analisis Ketersediaan dan Kerentanan Pangan di Sentra Produksi Padi

Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/45307

Title:	Pewilayahan Hujan O6N Model Prediksi Curah Hujan untuk Mendukung Analisis Ketersediaan dan Kerentanan Pangan di Sentra Produksi Padi
Other Titles:	Forum Pascasarjana Vol.31 No.2 April 2008: 131-142
Authors:	Pramudia, Aris Koesmaryono, Yonny Las, Isral June, Tania Astika, I Wayan Runtunuwu, Eleonora
Keywords:	rainfall prediction model, fuzzy clustering, neural network analysis, rice vulnerability
Issue Date:	2008
Publisher:	IPB (Bogor Agricultural University)
Series/Report no.:	Volume 31;No.2
Abstract:	The 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.
URI:	http://repository.ipb.ac.id/handle/123456789/45307
Appears in Collections:	Forum Pascasarjana

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