Formosa Journal of Science and Technology (FJST)
Vol. 1 No. 8 (2022): December 2022

Predicting the Number of People Exposed to Covid 19 with the Newton Gregory Maju Polynomial Interpolation Method

F. Anthon Pangruruk (Universitas Matana)
Simon P. Barus (Universitas Matana)



Article Info

Publish Date
28 Dec 2022

Abstract

Since March 2020 until now the Corona Virus (Covid-19) is still running rampant and even new variants have appeared. The increase in people exposed to this virus can cripple the community's economy. The government must be able to anticipate the increasingly high spread of Covid-19. Therefore, a prediction model is needed for the number of people exposed to Covid-19 so that the government can anticipate it as a preventive measure. Research that has been carried out since early 2021 using the Monte Karlo, Arima, K-Nearest Neighbors methods, Time Series Analysis, Winter and Artificial Neural Networks. Furthermore, the researchers predicted the number of people exposed to Covid-19 using the Newton Gregory Maju interpolation method. The prediction results for the DKI Jakarta area in March 2022 are based on historical data for January - February 2022 with the smallest error of 2.17%, the highest error of 46.28% and the average error of 17.27%.

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Journal Info

Abbrev

fjst

Publisher

Subject

Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences

Description

Formosa Journal of Science and Technology (FJST) is an open-access scientific journal that publishing full-length research papers and review articles covering subjects that fall under the wide spectrum of science and technology. FJST journal is dedicated towards dissemination of knowledge related to ...