Integrated Data-based Poverty Alleviation to Achieve SDGs

Abstract

Abstract Poverty alleviation is not an easy job. Lack of coordination, inaccurate data, and slow information are factors leading to inappropriate decisions making. This research aims to learn in detail about the Integrated Social Welfare Database (ISWD) and how to use the ISWD for Poverty Programs. This research used a literature study approach through collecting, classifying, analyzing, visualizing, validating data, and drawing conclusions. The results of the research showed that the ISWD is an electronic data system containing social, economic, and demographic information in Indonesia which consists of 16 variables, namely: welfare status of households and individuals, education, health, employment, and primary information households covering the lowest share of 40% of the Indonesian population based on welfare states. The ISWD provides many benefits for the central government, regional governments in Indonesia, for example, supporting the analysis or the planning of poverty alleviation activities/programs, determining the target beneficiaries of social protection programs such as the Raskin Program, Jamkesmas, Assistance for Poor Students, Family Hope Program, and other programs managed by the regional government.