Digital Transformation of Poverty Data Collection in Non-Coastal Upstream Cities as a Climate Adaptation Instrument for Coastal Areas: A Comparative Study of Bogor and North Jakarta Dedie Abdu Rachim
Universitas Padjajaran
Abstract
Digital transformation in poverty data collection has become an important instrument in social policy management amid increasing climate change risks. This study analyzes the role of digitalization of poverty data collection as an instrument of climate adaptation through a comparative study between Bogor City (non-coastal upstream area) and North Jakarta (coastal area). The study uses a qualitative approach with data collection techniques in the form of documentation studies and interviews, as well as thematic analysis. The results show that the implementation of digital systems such as SIKS-Next Generation (SIKS-NG) has improved data administration efficiency, but still faces obstacles in terms of interoperability, data standardization, and low community participation. In North Jakarta, poverty data has begun to be utilized in climate adaptation policies, especially in determining vulnerable groups in areas prone to tidal flooding, while in Bogor, data utilization is still administrative in nature. The study concludes that there is a gap between the actual and ideal conditions in poverty data governance. Therefore, it is necessary to strengthen system integration, increase transparency, and develop digital data collection models that are adaptive to climate risks, especially for coastal areas.
Keywords: digital transformation, poverty data collection, climate adaptation, coastal areas, data governance.
Topic: Governance, Policy, and Education of Coastal Area
