Application of Artificial Neural Network (ANN) and Support Vector Machine (SVM) for Government Policy Recommendations to Allow People to Do Activities Without Masks
Denny Jean Cross Sihombing, Desi Christine Othernima, Ariya Kieputra, Tamaria H. Artpinkkan · 2021
The Covid-19 pandemic that has hit the world, including Indonesia, has affected various aspects of life. This has also led to various new policies by the Indonesian government to limit the spread of Covid-19, one of which is the use of masks while on the move. This study aims to apply machine learning to government policy recommendations in allowing people to move without masks. The method used in this research is SVM (Support Vector Machine) for classification and ANN (Artificial Neural Network) for forecasting. The results of this study are MSE (Mean Squared Error) of 4.62 and MAE (Mean Absolute Error) of 0.97, and this study predicts the Covid-19 pandemic will decrease in February 2022 but will tend to rise again in March 2022. Next, in April 2022, cases will decrease. Based on the study results, the implementation of the policy can be carried out in April 2022 regarding community activities without masks.