Pengembangan Model Jaringan Syaraf Tiruan untuk Prediksi Curah Hujan Bulanan dan Pemanfaatannya bagi Perencanaan Pertanian di Kabupaten Subang dan Karawang

TL;DRAbstract

MAGFIRA SYARIFUDDIN. Development of Artificial Neural Network Model for Monthly Rainfall Prediction and Its Application for Agricultural Planning in Subang and Karawang. Under supervision of YONNY KOESMARYONO and ARIS PRAMUDIA. The research analyzed rainfall data from Subang and Karawang as the centers of rice production in West Java. The objectives of this research were to: (1) develop monthly rainfall prediction model for predicting the next four months rainfall, (2) develop a next three months rice yield prediction model and (3) Estimate the availability of rice in Subang and Karawang as a function of monthly rainfall. Both rainfall and rice yield prediction models were built by ANN technique. ANN Rainfall prediction model was applied at six rainfall stations in Subang and Karawang which are: Cigadung, Karawang, Rawamerta, Subang, Sindanglaya and Ciseuti. It was developed by including 7-8 variables (X) at input layer and 6-10 nodes at a single hidden layer. Variables at input layer

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