Socioeconomic Indicators as a Determinant of Community Mobility during the Covid-19 Outbreak: A data mining for Indonesia and Malaysia

Human mobility is believed as the critical factor for COVID-19 transmission. The timing of government-imposed movement control could explain the mobili-ty fluctuation in a country. However, the fluctuation between regions within a country is less understood. This study aims to characterize community mobility fluctuation for Indonesian provinces and Malaysian states and identify the association between socioeconomic indicators and mobility fluctuation across regions. The study object is all 34 Indonesian provinces and 14 Malaysian states. A data mining approach with CRISP-DM framework and Knime Ana-lytics Platform were applied. The result indicates that Indonesia and Malaysia show the strength of mobility fluctuation in the descending order are transit-station, workplace, and residential area. Malaysia shows higher mobility fluc-tuation than Indonesia that might indicate the level of community response to the Covid-19 pandemic. As socioeconomic indicators, Human Development Index (HDI), poverty rate, and labor force participation associate with mobility fluctuation. Regions with high mobility fluctuation are likely to have high HDI and high labor force participation rates. Furthermore, regions with high mobility fluctuation are likely to have low poverty rates. High mobility re-gions cover the capital city and other cities with high-density populations