CD Skripsi
Analisis Faktor-Faktor Yang Mempengaruhi Jumlah Penduduk Miskin Di Pulau Jawa Dengan Pendekatan Metode Bootstrap
ABSTRACT
The goal of this study is to look at the characteristics of the number of poor people
on the island of java, to see if there is any multicollinearity, and to see how the
characteristic model affects the number of poor in java using the bootstrap
approach. The study used secondary data from the Central Statistics Agency for
Provinces in Figures 2020, Gross Regional Domestic Product of Regencies/Cities
in Indonesia 2015-2019, Doirectorate General of Fiscal Balance 2019, and the
Human Development Index (HDI) to analyze data for 119 districts/cities on Java
Island. Figures 2020, province as a dependent variable Open Unemployment Rate
(OUR), Population Density, Gross Regional Domestic Product (GRDP), Regional
Original Income (ROI), Regional Expenditures, Life Expectancy, Expected Years
of Schooling, Average Years of Shooling, and Expenditures Per Capita are some
of the independent variables. The results showed that the second improvement had
no multicollinearity, and the effect of multiple linear regression analysis with the
Bootstrap method approach using 500, 1000, 3000, 7000 and 10000 resampling
yielded four independent variables: the Open Unemployment Rate variable, which
had a negative and significant effect, Regional Expenditures, which had a positive
and significant effect, and Expectations of Years of Schooling, which had a
negative and significant effect. This demonstrates that increasing the Open
Unemployment Rate, Expected Years of Schooling, and Population Per capita
Expenditures reduces the number of poor people in Java, whereas increasing
Regional Expenditures increases the number of poor people in Java.
Keywords: Poverty, Bootstrap, Multiple Linear Regression
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