In 2019, the COVID-19 epidemic swept throughout the globe. The virus was first identified in Wuhan, China. By the time several months had gone by, this virus had spread to numerous locations throughout the world. Consequently, this virus has become a worldwide pandemic. Multiple efforts have been made to limit the transmission of this virus. A possible course of action is to lock down the territory. Unfortunately, this strategy wrecked the economy, worsening the terrible situation. The world health organization (WHO) would breathe a sigh of relief if there were to be no new cases. However, the government should explore employing data from the future in addition to the data it already has. Prediction of time series may be utilized for this purpose. This study indicated that the Gaussian processes method outperformed the least median squared linear regression method (LMSLR). Applying a Pearson VII-based global kernel produces MAE and RMSE values of 23.12 and 53.43, respectively.

The food sector is a sector with great potential to be developed, especially in the Bekasi Regency area in Indonesia. Tight business competition and limited resources have forced entrepreneurs to reconsider production processes, one of which is by implementing Supply Chain Management (SCM). With MSC analysis, it is expected that business processes can be more responsive, so that they can respond quickly, effectively, and efficiently to all forms of changes in the market and further increase business competitiveness. The study involved 87 SME entrepreneurs in the food sector who were randomly obtained from several developing SME communities in Bekasi Regency, West Java and 5 experts related to the food industry. Research variables include; Supply Chain Management (SCM), Business Performance and Business Competitiveness. The results showed that in creating a business competitiveness, entrepreneurs need to improve the SCM system. SCM can affect Business Competitiveness directly, as well as through the Business Performance variable.