Prediction of Covid-19 Cases in Central Java using the Autoregressive (AR) Method

Tangguh Widodo, Siti Maghfiroh, Surya Haganta Brema Ginting, Alif Aryaputra,Sudianto Sudianto

Journal of Dinda Data Science Information Technology and Data Analytics(2023)

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摘要
Since the beginning of the Covid-19 case in Indonesia in March 2020, more than 6 million confirmed cases had been confirmed. The rapid development of this case can be accessed through the covid19.go.id page. In Central Java province, confirmed cases as of July 6, 2022, reached 628,393 people, with the number of recovered patients reaching 594,783 people and the number of patients dying as many as 33,215 people. With this data, a prediction is needed to help the government anticipate an increase in Covid-19 cases in Central Java Province. This study aims to create a forecasting model using the Autoregressive (AR) method by optimizing the function parameters. Then Mean Squared Error (MSE) to analyze the results of forecasting data errors. The results are the best parameter functions on AR (30) with the smallest MSE. Furthermore, predictions are made from July 1 to August 30, 2022, showing an increase in cases
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关键词
autoregressive,central java,prediction
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