Pengaruh Status Migrasi Melalui Karakteristik Sosio Demografi Terhadap Tingkat Kesejahteraan Pekerja Di DKI Jakarta (Analisis Data Cross Sectional Susenas 2013)

Abstract

Inequality in development facilities among regions is indicated by population migration flows,  as a reflection of inter-regional economic growth and public facilities disparities. DKI Jakarta has experience in population increase absolutely, in spite of having net migration rate.  This increase is caused by absolute number of in-migration into DKI Jakarta from outside of DKI Jakarta.The general objective of this research is analyze welfare status of Worker in DKI Jakarta and its relationships with other determinant variables (migration status and other socio-demographic variables). More specifically, the objectives of this research are: 1) to analyze welfare status of worker in DKI Jakarta; 2) to analyze the effect of migration status on worker’s welfare status; 3) to analyze  the effect of other socio-demographic variables on worker’s welfare status; and 4) to analyze the effect of interaction between migration status and other variables on worker’s welfare status in DKI Jakarta Province.            By using Susenas (National Socio-Economics Survey) 2013 raw data as a source of data, this research conducts analyze with two stages: 1) The first step is constructing the worker’s welfare status by using PCA (Principle Component Analysis); 2) the second stage is cross tabulating and multinomial logistic regression analysis to show the effect of migration status and other variables on worker’s welfare status in DKI Jakarta.            The result of analysis exhibits that migration status of workers in DKI Jakarta, and also their other variables, have various contribution on welfare status pattern.  However, the determinants variables have significant contributions to welfare status. The inferential analysis with interaction  model generates some conclusions as follows: migrant workers age of 24-34 tend to “welfare” 2.86 times, and tend to be “very welfare” 2.34 times; married migrant workers tend to be “welfare” 2.6 times; and migrant formal workers tend to be “very welfare” 6.14 times. Keywords: Welfare status, net migration, Susenas 2013, PCA,  multinomial logistic regression.