Indonesian Journal of Life Sciences
2020: IJLS Vol 02 No .02

ARI(1,1) Model for Predicting Covid19 in Indonesia

Nanda Rizqia Pradana ratnasari (Indonesia International Institute for Life Sciences)

Article Info

Publish Date
30 Sep 2020

Abstract

Covid19 modelling is needed to help people understanding the distribution or pattern of the data and doing the prediction. The data used for modelling in this study was ‘confirmed cases’ of Covid19 in Indonesia recorded from March 2 to August 23, 2020. Model obtained from analysis was ARI(1,1) with estimated parameter 0.9859 and standard error 0.0114. Maximum Likelihood was the method conducted to estimate the parameters. The model was good to predict the actual data of Covid19 confirmed cases in Indonesia. Keywords: Covid19, autoregressive, prediction.

Copyrights © 2020




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
553.889 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Indonesian Journal of Life Sciences
Website

Abbrev

IJLS

Publisher

Indonesia International Institute for Life Sciences

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Medicine & Pharmacology

Description

The Indonesian Journal of Life Sciences (IJLS) is a journal published by Indonesia International Institute for Life Sciences Press (i3L Press). IJLS is a scientific journal contains original research articles, review articles, and short communication covering all aspects in life sciences. This ...