Skip links

Indonesia: IUC Asia Assists Depok to Utilize SIDIK for Climate Risk and Vulnerability Assessment

Under the IUC Asia’s framework, A virtual workshop was carried out for Depok City on 14 October 2020 aimed to strengthen the capacity of Depok City officials on Climate Risk and Vulnerability Assessment (CRVA), particularly the step-by-step process of using SIDIK. Approximately 15 city officials were present, representing various agencies comprised of Environment, Development Planning, Social, Enterprises and Cooperatives

In the context of Indonesia, the Indonesian Ministry of Environment and Forestry, introduces SIDIK, an online platform that calculates and maps out cities’ vulnerability level. Since vulnerability consists of exposure and sensitivity (potential impact), and adaptive capacity, the vulnerability in Indonesia is calculated through the combination of indicators: the Indicator of Exposure and Sensitivity (IKS) and Indicators of Adaptive Capacity (IKA) which are then quantified. SIDIK presents the classification data of vulnerability to climate change into 5 classes. This categorization refers to an assessment of 9 main indicators, namely the availability of electricity, health facilities, education, road infrastructure, riverbank settlers, informal riverbank settlements, drinking water sources, the degree of poverty, and main source of income.

From SIDIK’s vulnerability maps and climate hazard projection maps, both on wet and dry extreme, Indonesian cities would ultimately acquire climate risk priority maps on both extreme for the current day and the future projection. Combined, they would have a location priority map that determines which area would require the most attention. This is one of the most vital guiding tools to design a well-targeted adaptation plan.

During the session, the participants practiced operating the SIDIK platform; and learned how to calculate the vulnerability index as an input value. The process required comprehensive technical steps, including the normalization of data and defining the weight of the indicators. The steps ensured that large variation in any one of the indicators would not unduly dominate the contribution of the rest of the indicators and distort inter-regional comparisons.

Join the Discussion

Return to top of page