JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI
Vol. 17 No. 1 (2020): JMSK, SEPTEMBER, 2020

Comparison of Single Exponential Smoothing, Naive Model, and SARIMA Methods for Forecasting Rainfall in Medan

Arnita Arnita (Universitas Negeri Medan)



Article Info

Publish Date
24 Aug 2020

Abstract

This study aims to compare the best method on the forecasting system of rainfall in Medan using Single Exponential Smoothing (SES), Naive Model, and Seasonal Autoregressive Integrated Moving Average (SARIMA) . The data used in this study is rainfall data for 10 years (2009 – 2019). From the simulation by comparing existing method, the best model is SES with  and value of MAPE (Mean Absolut Percentage Error) sebesar 2,47%. And then  SARIMA (1,01,1)(4,0,3)12 whit value of MAPE  is2,93%. Both of this model is high accurate model because value of MAPE resulted < 10%.  

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Journal Info

Abbrev

jmsk

Publisher

Subject

Mathematics

Description

Jurnal ini mempublikasikan paper-paper original hasil-hasil penelitian dibidang Matematika, Statistika dan Komputasi ...