Network clustering method for preventing the spread of COVID-19 in Indonesian schools

Abstract

The COVID-19 pandemic has caused many problems, especially in education. The education issue will be difficult to overcome because Indonesia has a large population. A unique strategy is needed for each school to carry out learning to ensure the education process continues. Online learning has been implemented since the pandemic entered Indonesia. This paper proposes a new learning strategy for teachers and students through hybrid learning based on network clustering. The community network or community generated from network clustering provides information that the state of the environment is the large number of people who have COVID-19. If the sum of COVID-19 sufferers is too large, the students are advised to use online learning. The students are advised to apply offline learning when the sum of COVID-19 sufferers is insignificant. Based on the simulation, combining the hybrid learning model with the community network generated through network clustering effectively anticipates the next wave of the COVID-19 pandemic.