Now showing items 1-4 of 4
An Implementation of Fuzzy Inference System for Onset Prediction Based on Southern Oscillation Index for Increasing the Resilience of Rice Production Against Climate Variability
(Bogor Agricultural University (IPB)Bogor Agricultural University (IPB), 2012-12)
Riee production system in lndonesia is very sensitive to global phenomena, especially the El Nino phenomenon. Information regarding the onset of rainy season is important to increase the resilience of the production ...
Prediksi Awal Musim Hujan Menggunakan Adaptive Neuro- Fuzzy Inference System Pada Studi KasusKabupaten Indramayu
(Himpunan Informatika Pertanian Indonesia (HIPI), 2013-10)
Climate anomalies cause the onset of the rainy season changes in Indonesia. In agriculture, the change complicates to determine the precise period of cultivation. The fault on the determination increases crop failure by ...
Length of Rainy Season Prediction Based on Southern Oscillation Index and Dipole Mode Index Using Support Vector Regression
The location of Indonesia which is between the Pacific and Indian Ocean causes the climate to be influenced by the global condition in bath oceans. The goal of this research is to use modelling to predict the length of ...
Support Vector Regression Modelling for Rainfall Prediction in Dry Season Based on Southern Oscillation Index and NIN03.4
Various c1imate disasters in lndonesia are mostly related to the El Nino Southern Oscillation (ENSO) phenomenon. The variability of etimate especially rainfall is strongly related to this phenomenon. Southern Oscillation ...