Throughout 2016-2021, there were 31 landslides that have caused physical, economic, and social damages. Bumiaji Sub-District has several tourist destinations that are potentially exposed to landslides. This study aims to create a landslide risk map in Bumiaji Sub-District. This research was conducted during the COVID-19 pandemic situation. Therefore, the data collected was secondary data obtained from Google satellite images, Google Street View, the digital elevation model from the National Geospatial Institution, and other literature reviews. The data was then analysed using a landslide risk assessment based on Perka BNPB Number 2/2012. The results of this risk analysis show that Bumiaji Sub-District is dominated by low-level risk (48%), followed by high-level risk (30%), and medium-level risk (15%). High-risk level is affected by high hazards and vulnerabilities, especially in Giripurno Village. High hazard level is affected by high intensity of rainfall, slope degree, the sensitivity of soil to erosion, and the type of land cover. High vulnerabilities are affected by physical, social, and economic aspects susceptible to losses.

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Bumiaji Sub-District is located in a mountainous area with a high-risk level of landslides. Throughout 2017-2022, there were 45 landslide events affected physical, social, and economic damages. One approach to reduce disaster risk is building community resilience. This research aims to assess Landslide Community resilience in Bumiaji Sub-District. It is important to describe the characteristic of resilience level in each village. This research was done by using AHP to determine the weight of variables and indicators, then calculated with Baseline Resilience Indicators for Communities (BRIC) based on six variables: Physical, Social, Economic, Environmental, Community Capital, and Institutional. Data was collected by primary and secondary data. Primary data was collected by using interviews with experts from the government and the local community in Batu City, and secondary data was collected from the literature study. The results of AHP show that the highest priority of indicators is community preparedness, and the lowest priority is the number of health facilities. The weight of each factor was multiplied by the values of the indicators to assess the landslide community resilience index. The highest level of community resilience is Punten, caused by the high score in Physical, Economic, and Institutional aspects. The low level of resilience is Bumiaji and Pandanrejo Village. Both villages did not have regular mitigation programs to strengthen local communities, so the resilience level of community capital is low.