RAINFALL PREDICTION IN JEMBER REGENCY WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED ON GSMaP SATELLITE DATA

  • Abduh Riski Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Jember, Indonesia
  • Wakhidatun Nafi’u Haqqi Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Jember, Indonesia
  • Ahmad Kamsyakawuni Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Jember, Indonesia
DOI: https://doi.org/10.30598/barekengvol17iss3pp1713-1724
Keywords: Prediction, Rainfall, Adaptive Neuro Fuzzy Inference System (ANFIS), GSMaP

Abstract

Rainfall is very influential in daily life, including in agriculture. According to the Jember Regency Government, the majority of the economic activities of the Jember people come from the agricultural sector. Significant changes in rainfall conditions will adversely affect the agricultural sphere. The Water Resources Office of Jember Regency measures rainfall directly. Precipitation measurement can also be made indirectly using the Global Satellite Mapping of Precipitation (GSMaP), a project promoted by the Japan Aerospace Exploration Agency (JAXA) to produce rainfall accumulation globally. Rainfall predictions are urgently needed to address rainfall-related issues. The Adaptive Neuro-Fuzzy Inference System (ANFIS) method is an effective method for prediction because its working principle combines adaptive methods of artificial neural networks and fuzzy logic. The RMSE in the ANFIS training and testing process on daily rainfall was 12.7464 and 14.6268. Furthermore, RMSE in ANFIS training and testing on monthly rainfall was 7.6336 and 8.1456. The predicted daily rainfall in Jember Regency on January 1, 2023, is 3.1971 mm. Meanwhile, the predicted monthly rainfall in Jember Regency in January 2023 is 19.9114 mm.

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Published
2023-09-30
How to Cite
[1]
A. Riski, W. Haqqi, and A. Kamsyakawuni, “RAINFALL PREDICTION IN JEMBER REGENCY WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED ON GSMaP SATELLITE DATA”, BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1713-1724, Sep. 2023.
Issue
Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
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Articles

Copyright (c) 2023 Abduh Riski, Wakhidatun Nafi’u Haqqi, Ahmad Kamsyakawuni

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