DATA MINING WITH REGRESSION AND FORECASTING METHODS TO DETERMINE BED OCCUPANCY RATE (BOR) IN COVID 19 MANAGEMENT IN THE DKI JAKARTA AREA
Covid 19 is a pandemic that affects not only Indonesia, but all parts of the world. Covid-19 is a dangerous disease, considering the after effects of contracting the disease. So that this disease has become one of the diseases that grab the world's attention. In addition to the Health (medical) section, information and technology also play an active role in overcoming it. In this study, researchers want to conduct research by discussing the application of the Statistical-Based Deep Learning Method, in particular the regression algorithm to predict bed occupancy rate in the next five years, especially for the DKI Jakarta area, considering that the DKI Jakarta area has the largest population in Indonesia. . The purpose of this study is to provide predictions of the availability of hospital beds, specifically for patients with Covid-19. Data taken through the website of the Ministry of Health of the Republic of Indonesia. This BOR data was collected from April 2020 to April 2022.
Covid-19, Bed Occupancy Rate, Data, Algorithm Regresi, Deep Learning, DKI Jakarta