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Abstract

The COVID-19 epidemic has spread throughout countries around the world. In Indonesia, this case was detected in early March 2020, and until now, there is still an increase in positive cases of COVID-19. The purpose of this paper is to predict COVID-19 cases in Indonesia using a time series approach. The method used is H-WEMA method because this method can capture trend data patterns following the conditions of COVID-19 cases in Indonesia. Based on the analysis results, H-WEMA can predict COVID-19 cases very well. The forecasted results of the COVID-19 cases in Indonesia still have an upward trend, so it needs the cooperation of all elements of community to reduce the spread of COVID-19.

Keywords

COVID-19 Forecasting Exponential Smoothing Hybrid Double Exponential Smoothing

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Author Biography

Mujiati Dwi Kartikasari, Universitas Islam Indonesia, Indonesia

 

 

How to Cite
Kartikasari, M. D. (2021). Forecasting COVID-19 Cases in Indonesia Using Hybrid Double Exponential Smoothing. Enthusiastic : International Journal of Applied Statistics and Data Science, 1(2), 53–57. https://doi.org/10.20885/enthusiastic.vol1.iss2.art1
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