Global warming affects climate change and has an overall impact on all aspects of life. On the other hand, community behavior and disaster aspects also have an important role in people's lives. This will also have an impact on regional development. This study aims to find the effect of climate, disaster, and social community on rural development. This study uses data on the potential of rural development from PODES 2014, and 2018 data collection on climate conditions and regional status is sourced from relevant ministries. This research uses Ordinary Least Square (OLS) Regression Analysis method, then continued with CHAID analysis to find the segmentation of the role of climate, disaster, and social factors on rural development. The results of this study found that all research regressor variables significantly influence the Rural Development Index (IPD2018), with an R-squared value of 32.9 percent. Efforts need to be taken in order to implement policies that are targeted, effective, and efficient. The results of this study can be a reference for the government in determining policies by focusing on rural development that have high duration of sunshine, cultivating natural disaster warnings, especially in areas prone to natural disasters, and need to focus on underdeveloped areas.

Crime has a significant influence on people’s lives. Not only on the social aspect, but crime will also affect regional development. In addition, socio-cultural factors have an essential role in developing rural communities. This study aims to determine the effect of crime and social culture on rural development. The method used in this study is Ordinary Least Square (OLS) followed by Chi-squared Automatic Interaction Detector (CHAID) to determine the segmentation of crime and socio-cultural factors of society towards rural development. The results of this study state that nationally all independent research variables have a significant effect on the 2018 Rural Development Index, with an R-squared value of 31.9%. Changes in the development category can be spurred through development focusing on underdeveloped and far from urban areas. The government also needs to pay attention to rurally located forest areas. Furthermore, the government needs to improve security in the community. Guaranteed security can create good development in the short and long term. In addition, the community needs to maintain cultural diversity through social interaction because it positively affects rural development.

BACKGROUND: Coronavirus Disease-2019 (COVID-19) is very shocking to the world. Until mid-2020, this virus has not yet found a vaccine that can be produced and can be applied en mass across the country. The spread of COVID-19 differs between regions which implie that regional characteristics have an influence on the rate of growth. Regional and social climate factors are thought to have a role in the growth rate of COVID-19. AIM: This study aims to find the role of climate and social society on the spread of COVID-19. METHODS: This research uses OLS regression analysis method, and then continued with Chi-squared Automatic Interaction Detector analysis to find the segmentation of the role of climate and social factors on the daily growth rate of COVID-19 in positive and deceased patients. RESULTS: The results of this study state that all independent variables of the study have a significant effect on the spread of COVID-19, with R-squared values in positive and deceased patients, respectively 61.1% and 70.0%. Strategic steps are needed to carry out policies that are targeted, effective and efficient. CONCLUSION: The results of this study can be a reference for the government in determining policies to reduce the growth rate of COVID-19, by focusing on areas that have poor sanitary environment and area are on Java Island.