Budisantoso Wirjodirdjo
Abstract: Lowering the number of poverty is one of achievement indicator in public policy. To see the impact of a policy toward reducing poverty, a comprehensive model which replicates socio economic condition of a community is needed. By considering factors affecting the poverty and finding the causative link among those factors, a simulation of several policies scenario can be done. In this research, Surabaya will be choosen as a case study because as a second biggest city in Indonesia (after Jakarta), the city also face with poverty problem. There are several factors affecting poverty in Surabaya: income as measured by Regional Gross Domestic Product, job vacancy and unemployment, education and health. The result of this simulation is a prediction of a policy that can be use by policy maker so that it can be predicted the impact of a certain public policy toward the community.
Keywords: Poverty, Public Policy, Dynamic System Simulation
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