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The purpose of this study is to identify and analyze population data based on population structure and five population aspects, as well as regional areas in Kebumen Regency in 2020. Then prepare recommendations and plans to integrate population problems into development planning mechanisms and develop a 2020 Population Grand Design Model. The method of analysis used quantitative and qualitative descriptions with a locular in Kebumen Regency. The research was conducted using secondary data sources from the Central Bureau of Statistics of Kebumen Regency, the Department of Social Affairs and Population Control and Family Planning in Kebumen, the Ministry of Education and Culture. Primary data comes from the results of discussions with the Head of Service and structural officials at the Department of Social Affairs and Population Control and Family Planning in Kebumen, the results of the discussion become one of the qualitative indicators for analysis. The analysis was mainly carried out using SWOT and to complement the ARIMA method. The results are based on an administrative and substantive approach with the integration of five population aspects, namely Population Quantity Control, Population Quality Improvement, Population Mobility Direction, Family Development and Population Database Development, which are expected in the form of regional regulations.

In some metropolitan cities of West Java Province, the urban movability affects to the congested traffic. This study analyzes the congested traffic during the large-scale social re-strictions (LSSR) of the coronavirus disease 2019 (COVID-19) around some metropolitan cities of West Java Province in May-June 2020. The national government of the Republic of Indonesia declared a national’s LSSR just for some the essential and critical activities are being acquiesced still enforce. Our proposed method, namely, ConTraEmSis is contributed to analyze the congested traffic two months from May-June 2020. We exploit the geomatic of the congested traffic in the COVID-19 information & coordination center West Java province (PIKOBAR) dataset for Bogor, Depok, and Bekasi (Bodebek areas), Bandung areas, and whole West Java province areas. We exploit the road transport and traffic management center (RTTM) and area traffic control system (ATCS) and index their data for the Bodebek and Bandung areas. The ConTraEmSis demonstrates that the congested traffic the LSSR of COVID-19 reduces around 18%-49% every month. Instead, the Java government always launch the many good governance policies to support the LSSR of the COVID-19 system. proposed model shows that after the LSSR in 2019 and 2020, is reduced between 3.27% and 5.27%. On the week-day afternoon, we scale down between 4.52% and 4.74%. On the weekend morning, we cut down between 1.3% to 1.5% before and after LSSR of 2019 and 2020, respectively. The congested traffic trends get 24% and 41% in the weekdays and weekends, respectively, since the LSSRs. Onto the weekend afternoon, we perform 13.4% and 14.8% for reducing the CO2 emission index during the LSSR’s 2020. We achieve the important congestion get an emission index lower than 0.3.