Nature-based Solution (NBS) is an umbrella for ecosystem-based approaches to prevent or mitigate the impacts of hydro-meteorological hazards. The increasing hydro-meteorological disaster occurrence such as floods in Bandung City because of both climate change phenomenon and rapid growth of Bandung City has caused a big impact on people live in slums and high-density settlement. Realizing this risk, Bandung City has implemented strategies to reduce flood risk, including the Sustainable Urban Drainage System (SUDS) as stated on the Bandung City Spatial Plan (RTRW) 2011-2031. However, this measure had not effectively reduced flood risk in Bandung City. Therefore, this research focuses to analyse the implementation of SUDS and how it can capture the concept of NBS, with the study case Cibadak Administrative Village, one of the poor and high-density urban settlements in Bandung City. The result was developed using a mixed method consisting of a descriptive quantitative approach, spatial analysis for satellite imagery, and content analysis technique to analyse each challenge of SUDS implementation. The result indicates the lack of capacity in scale, budget, natural characteristic, and social demographic for SUDS implementation in poor and high-density urban settlement in Bandung, which aligns with the challenge of NBS implementation in the global south.

Flood and drought are hydrometeorological hazard that annually occurred in Bandung City. This problem occurs due to static natural conditions such as geographical, topographical conditions, as well as dynamic natural conditions such as climatological matters that are exacerbated by climate change and human activities. Flood and drought risk management in urban areas generally emphasizes physical development by ignoring various social dimensions. Therefore, this research aims to understand people’s knowledge and attitudes towards disasters, represented by the public risk perception towards flooding and drought, as well as public acceptance of the existing programs that have been provided by the municipality. To identify public risk perception and their acceptance of existing programs use statistical descriptive methods. While the data collection use questionnaire with 99 samples. This research shows the affected communities can assess the risks, emotion, and expectation for the future risk, and the implemented program by municipality is mostly accepted by the community. Public risk perception and public acceptance of a program are prominent factors that determine the success or failure of a program by ensuring the compatibility of the program and the community. Thus, this research is critical to give the public perspective on implementing a community-based disaster mitigation program.