Rainfall Forecasting in Makassar City Using Triple Exponential Smoothing Method

Authors

  • Irwan Department of Mathematics, Universitas Negeri Makassar, Makassar, 90223, Indonesia
  • Muhammad Abdy Department of Mathematics, Universitas Negeri Makassar, Makassar, 90223, Indonesia
  • Ersa Karwingsi Department of Mathematics, Universitas Negeri Makassar, Makassar, 90223, Indonesia
  • Ansari Saleh Ahmar Department of Statistics, Universitas Negeri Makassar, Makassar, 90223, Indonesia

DOI:

https://doi.org/10.35877/soshum1707

Keywords:

rainfall, triple exponential smoothing Brown, Holt-Winters additive, Holt-Winters multiplicative

Abstract

The purpose of this study is to determine the appropriate forecasting method for predicting rainfall in Makassar City in 2022. This research is based on the problems that are often experienced by the people of Makassar City, namely the occurrence of flooding which results in traffic jams due to high  x rainfall which continuously occurs. for several days in a row. With this research, people can see the prediction of rainfall and anticipate flooding in Makassar City. The results of the Makassar city rainfall data plot experience increases and decreases (fluctuations), which tend to repeat every year. This shows that Makassar City's rainfall contains seasonal factors. Therefore the method used is one-parameter Brown triple exponential smoothing, three-parameter Holt-Winters additive and Holt-Winters multiplicative. The forecasting results show that the correct method to use is the Holt-Winters multiplicative method with a parameter value of a=0.001 ?=0.15 ?=0.002 which produces a minimum value of MAPE = 1.18 MAD = 136.23 compared to the Brown and Holt-Winters methods additive. Forecasting results using the Holt-Winters multiplicative method show that the highest rainfall occurs from December to April 2022.

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Published

2023-05-10

How to Cite

Irwan, I., Abdy, M., Karwingsi, E., & Ahmar, A. S. (2023). Rainfall Forecasting in Makassar City Using Triple Exponential Smoothing Method. ARRUS Journal of Social Sciences and Humanities, 3(1), 52–58. https://doi.org/10.35877/soshum1707

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