Near future prediction of rainfall distribution pattern by adaptive neuro fuzzy interference system in central java, indonesia

Nurrohman, Reza Kusuma and Nugroho, Bayu Dwi Apri and Sudira, Putu and Ngadisih, Ngadisih and Murtiningrum, Murtiningrum (2021) Near future prediction of rainfall distribution pattern by adaptive neuro fuzzy interference system in central java, indonesia. Agricultural Engineering International: CIGR Journal, 23 (2). 30 – 42. ISSN 16821130

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Abstract

Rainfall distribution pattern is very important for sustainable production in the agricultural sector in Tropical region. The near future rainfall amount under changing climate was predicted from 2009 to 2028 by Adaptive Neuro Fuzzy Inference System (ANFIS), which was trained with the rainfall observation data from 1979 to 2013, spatiotemporally in the Central Java Province, Indonesia. Our analysis showed that the predicted rainfall data using ANFIS could represent actual rainfall conditions. Rainfall predicted from 2009 – 2028 in Central Java will experience a decrease in high rainfall in an area of 1,615,125.2 hectare, which can cause drought. The area that predicted to experience drought in the future are Kebumen, Jepara, Pati, Rembang, Kudus, Grobogan, Blora, Sragen, and parts of the regions of Purworejo, Cilacap, Banyumas, Brebes, Wonogiri, Karanganyar, and Demak. © 2021, Int. Comm. of Agricultural and Biosystems Engineering. All rights reserved.

Item Type: Article
Additional Information: Cited by: 2
Uncontrolled Keywords: climate change, rainfall pattern, ANFIS, Central Java
Subjects: S Agriculture > S Agriculture (General)
Divisions: Faculty of Agricultural Technology > Agricultural and Biosystems Engineering
Depositing User: Sri JUNANDI
Date Deposited: 03 Sep 2024 02:30
Last Modified: 03 Sep 2024 02:30
URI: https://ir.lib.ugm.ac.id/id/eprint/5840

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