PREDIKSI CURAH HUJAN DI DAERAH BANDARA SULTAN MAHMUD BADARUDDIN II MENGGUNAKAN JARINGAN SYARAF TIRUAN DENGAN METODE BACKPROPAGATION DAN RADIAL BASIS FUNCTION NETWORK

PERONIKA, SINTIA and Satya, Octavianus Cakra and Arsali, Arsali (2017) PREDIKSI CURAH HUJAN DI DAERAH BANDARA SULTAN MAHMUD BADARUDDIN II MENGGUNAKAN JARINGAN SYARAF TIRUAN DENGAN METODE BACKPROPAGATION DAN RADIAL BASIS FUNCTION NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

Indonesia is a tropical country with a high rainfall intensity. In this study was done the prediction of rainfall using Artificial Neural Network technique with Backpropagation's method and Radial Basis Function Network`s method. This prediction of rainfall was using data around the area of Sultan Mahmud Badaruddin II For prediction of rainfall number using backpropagation with neuron layer 25, in training phase produced MSE about 0.000000646. and in validation phase produced R. correlation about 0.72 and error reached 134.70% And prediction phase has result of negative value. for while prediction of rainfall number using Radial Basis Function Network with neuron 1ayer 5, in training phase produced MSE about 0.011869, and Jn validation phase produced R correlation about 0.90 and error reached 42,23%, And prediction phase has result of only positive value. Using Radial Basis. Function Network is better than Backpropagation method.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	prediction, rainfall, artificial neural network, Backpropagation, Radial Basis Function Network
Subjects:	Q Science > QC Physics > QC801-809 Geophysics. Cosmic physics Q Science > QC Physics > QC980-999 Climatology and weather Q Science > QC Physics > QC994.95-999 Weather forecasting
Divisions:	08-Faculty of Mathematics and Natural Science > 45201-Physics (S1)
Depositing User:	Mrs Dies Meirita Sari
Date Deposited:	02 Dec 2019 06:39
Last Modified:	02 Dec 2019 06:39
URI:	http://repository.unsri.ac.id/id/eprint/19427

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