Atiek Iriany, Agus Dwi Sulistyono, Niken Hendrakusma Wardani, Jeky Melkianus Sui, Danang Ariyanto
The spread of COVID-19, apart from being influenced by specific pathogenic factors, is also influenced by population structure and mobility. This study was conducted to develop a forecasting model for the increase in COVID-19 cases due to variations in the holiday calendar and the sun's distance to the earth. This study uses secondary data taken from the East Java Provincial Health Office in collaboration with the East Java Province COVID-19 Task Force. This study uses two independent variables: the Calendar Variation in 2020 and 2021 (X1); The Sun-Earth Distance (X2) and dependent variable (Y) is the Daily Case of COVID-19 in East Java Province from March 2020 to June 2021. The process of data analysis is carried out by analyzing time series data and building a forecasting model with a symbolic time series prognosis approach. The analysis process is carried out using Heuristic Lab 3.3 software. Based on the results of this study, it can be concluded that variations in the holiday calendar and the sun-earth distance have a strong influence on daily cases of COVID-19. The symbolic time series prognosis model obtained has an accuracy rate of up to 90.04% on training data and 82.14% on testing data. © 2023 WITPress. All rights reserved.
Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya, Kota Malang, 65145, Indonesia; Department of Socio-Economic Fisheries and Marine, Faculty of Fisheries and Marine Sciences, University of Brawijaya, Kota Malang, 65145, Indonesia; Department of Statistic, Faculty of Mathematics and Natural Sciences, University of San Pedro, San Pedro Sula, 85111, Honduras; Department of Mathematics, Faculty of Mathematics and Natural Sciences, State Universitas of Surabaya, Surabaya, 60231, Indonesia
