Prediction Modelling of COVID-19 Outbreak in Indonesia using a Logistic Regression Model

Abstract The COVID-19 outbreak has changed the world at large since it was announced by World Health Organization (WHO). Many policies in various countries were then implemented to control its spread. Most aspects of human life and environment are affected this pandemic. This paper aims determine prediction model for Indonesia. approach used modelling employs a logistic regression model. data modeled is on distribution sufferers patients who have recovered from obtained as research material taken March 2, 2020, November 12, 2020. From results paper, coefficient values Indonesia 8.114748 0.750743, while 9.360925 0.788334. people same accuracy value, namely mean absolute error (MAE) 0.02, square (MSE) 0.00, R 2 0.99.