Prediksi Penambahan Kasus Covid-19 di Indonesia Melalui Pendekatan Time Series Menggunakan Metode Exponential Smoothing

The Covid-19 pandemic in Indonesia has emerged starting 2020. To know the development of cases, a good calculation is needed. A prediction system can help analyzing accurate data on positive causes, cures, and deaths. right or forecast be answer to question impact that will occur, forecasting provide an overview government community so it hoped related parties prepare for future impacts even reduce number cases growth. In this study, Exponential Smoothing method was used as calculation. This simple but effective producing predictions. Forecasting comes from Indonesian with assumption valid reliable. Based research been carried out predict increase new National Covid-19, best alpha (α) value 0.33 SSE 1048027,939. shows increasing. results study using time series approach SES are more suitable predicting percentage than knowing exact number.