Enthusiastic : International Journal of Applied Statistics and Data Science
Volume 1 Issue 2, October 2021

Forecasting COVID-19 Cases in Indonesia Using Hybrid Double Exponential Smoothing

Mujiati Dwi Kartikasari (Universitas Islam Indonesia, Indonesia)

Article Info

Publish Date
30 Oct 2021

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.

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Journal Info
Enthusiastic : International Journal of Applied Statistics and Data Science
Website

Abbrev

ENTHUSIASTIC

Publisher

Universitas Islam Indonesia

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

Description

ENTHUSIASTIC is an international journal published by the Statistics Department, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia. ENTHUSIASTIC publishes original research articles or review articles on all aspects of the statistics and data science field which should be ...