Abstract

Sukolilo sub-district is a densely populated sub-district, the city government provides a policy to reduce the population so that the density in Sukolilo sub-district can be reduced. So this study aims to determine a dynamic system simulation model using several scenarios and policies in order to get a population that is not excessive. In this study, Vensim software was used to verify and validate the population system data of the Sukolilo sub-district. In the Vensim software, data processing is carried out and causal loop diagrams and simulation outputs are obtained, so that results such as the significant influence of transmigration in the Sukolilo sub-district, transmigration and family planning programs can reduce the population up to 80% of the total population in early 2022 to 2027 , but there are still limitations of limitations such as environmental, economic, and social factors. Thus the results of this study can be used to make policy plans in order to reduce the population in order to avoid overcrowding.

Full Text
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