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Feb 9, 2023
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Mar 13, 2023
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Abstract

The World Health Organization on March 11, 2020, declared Coronavirus Disease 2019 (Covid-19) a pandemic. Covid-19 is a disease caused by a new type of coronavirus, namely Sars-CoV-2, which affects the respiratory system. Until now, positive confirmed cases of Covid-19 in Indonesia are still occurring every day. This study aims to predict the addition of Covid-19 cases in Indonesia. The data is sourced from the public API page covid19.go.id in the form of an additional number of Covid-19 cases in Indonesia by 122 lines of data. Predictions are made using linear regression and polynomial regression methods as comparisons. Evaluation of the linear regression method obtains a value of R2 = 0.57, while the polynomial regression method obtains a value of R2 = 0.84. Based on these evaluations, the polynomial regression method yields better results than the linear regression method. The prediction of Covid-19 cases in Indonesia from January to March 2022 using the polynomial regression methods predicts that the addition of Covid-19 cases will rise again.

Keywords

Covid-19, Prediction, Linear Regression, Regression Polynomial

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite
Rakhman, A. ., Cahyana, Y., Rahmat, Tukino, & Wahyu Iriananda, S. . (2023). Prediction Model for Covid-19 Cases in Indonesia Using Linear Regression and Polynomial Regression Methods. Edutran Computer Science and Information Technology, 1(1), 1-8. https://doi.org/10.59805/ecsit.v1i1.4

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