IJISTECH
Vol 6, No 3 (2022): October

Comparison of Fuzzy Time Series and Double Smoothing Holt Methods for Rainfall Forecasting

Endang Habinuddin (Politeknik Negeri Bandung)
Euis Sartika (Politeknik Negeri Bandung)
Neneng Nuryati (Politeknik Negeri Bandung)

Article Info

Publish Date
26 Oct 2022

Abstract

This research aims to compare the time series forecasting method, namely the Fuzzy Time Series method, with Double Exponential Smoothing Holt. The data used in this study is the rainfall data of the city of Bandung every month from January 2012 to December 2021. The analysis of the two methods is seen for accuracy according to the measure of error, namely MSE (Mean Square Error) and MAD (Mean Absolute Deviation). The results show that the Fuzzy Time Series method has MSE of 15558.89 and MAD of 108.97. While the Doube Smoothing Holt method has MSE of 23367.79 and MA of 115.94 So the Fuzzy Time Series method is reliable to use for forecasting rainfall in Bandung because the error values is lower than that of the Exponential Smoothing Holt.

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Journal Info
IJISTECH
Website

Abbrev

ijistech

Publisher

Sekolah Tinggi Ilmu Komputer Tunas Bangsa

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

Description

IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: ...