Critical data analysis of COVID-19 spreading in Indonesia to measure the readiness of new-normal policy
It addresses the policy challenge for Indonesia's government in balancing health and economic factors during the pandemic, but is incremental as it applies standard methods to new data.
This study analyzed COVID-19 data in Indonesia to assess readiness for transitioning from large-scale social restrictions to a new-normal policy, finding that new confirmed cases increased more than two times over a month and growth rates exceeded predictions.
COVID-19 pandemic has become a global issue nowadays. Various efforts have been made to break the chain of the spread of the COVID-19. Indonesia's government issued a large-scale social restrictions policy to prevent the spread of the COVID-19. However, large-scale social restrictions policy impacted the economy of the Indonesian. After several considerations, the Indonesian government implemented a new-normal policy, which regulates the activities outside the home with strict health protocols. This study's objective is to measure Indonesia's readiness level after the large-scale social restrictions period towards the new-normal period. To specify the readiness level, the measurement parameters required in the form of statistical analysis and forecasting modeling. Based on the results of statistical analysis and forecasting, over the past month, new confirmed cases increased more than two times. Besides, the growth rate of new confirmed cases dramatically increased rapidly compared to the prediction results. Therefore, the government must review the new-normal policy again and emphasize economic factors and think about health factors