Identification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method

The time-series approach is a method used to analyze a series of data in a time sequence to estimate the value of a series in the future. This article will identification the COVID-19 case model in Indonesia using the Double Exponential Smoothing Method. The Double Exponential Smoothing method is on...

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Autor principal:	Sri Harini
Formato:	article
Lenguaje:	EN
Publicado:	Department of Mathematics, UIN Sunan Ampel Surabaya 2020
Materias:	time series; covid-19; double eksponensial smoothing; arima Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/810a6d071c3f4a32b024e3bf7db6d844
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spelling	oai:doaj.org-article:810a6d071c3f4a32b024e3bf7db6d8442021-12-02T17:39:16ZIdentification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method2527-31592527-316710.15642/mantik.2020.6.1.66-75https://doaj.org/article/810a6d071c3f4a32b024e3bf7db6d8442020-05-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/888https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167The time-series approach is a method used to analyze a series of data in a time sequence to estimate the value of a series in the future. This article will identification the COVID-19 case model in Indonesia using the Double Exponential Smoothing Method. The Double Exponential Smoothing method is one method that can be used to optimize the estimation of the ARIMA model with smoothing parameters α. The data used is sourced from the National Disaster Management Agency which was released starting March 2, 2020. Based on the results of PACF, ACF, and estimated parameters of the ARIMA model in the Covid-19 case in Indonesia following the ARIMA model (0,1,1).Sri HariniDepartment of Mathematics, UIN Sunan Ampel Surabayaarticletime series; covid-19; double eksponensial smoothing; arimaMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 6, Iss 1, Pp 66-75 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	time series; covid-19; double eksponensial smoothing; arima Mathematics QA1-939
spellingShingle	time series; covid-19; double eksponensial smoothing; arima Mathematics QA1-939 Sri Harini Identification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method
description	The time-series approach is a method used to analyze a series of data in a time sequence to estimate the value of a series in the future. This article will identification the COVID-19 case model in Indonesia using the Double Exponential Smoothing Method. The Double Exponential Smoothing method is one method that can be used to optimize the estimation of the ARIMA model with smoothing parameters α. The data used is sourced from the National Disaster Management Agency which was released starting March 2, 2020. Based on the results of PACF, ACF, and estimated parameters of the ARIMA model in the Covid-19 case in Indonesia following the ARIMA model (0,1,1).
format	article
author	Sri Harini
author_facet	Sri Harini
author_sort	Sri Harini
title	Identification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method
title_short	Identification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method
title_full	Identification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method
title_fullStr	Identification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method
title_full_unstemmed	Identification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method
title_sort	identification covid-19 cases in indonesia with the double exponential smoothing method
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2020
url	https://doaj.org/article/810a6d071c3f4a32b024e3bf7db6d844
work_keys_str_mv	AT sriharini identificationcovid19casesinindonesiawiththedoubleexponentialsmoothingmethod
_version_	1718379832042061824

Identification COVID-19 Cases in Indonesia with The Double Exponential Smoothing Method

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