Pemodelan Regresi Nonparametrik Spline Linear Persentase Penduduk Miskin di Kalimantan
Laboratorium Statistika Ekonomi dan Bisnis, FMIPA Universitas Mulawarman, Wianita Noviani, Sifriyani Sifriyani, Program Studi Statistika, Jurusan Matematika, FMIPA Universitas Mulawarman, Ika Purnamasari, Program Studi Statistika, Jurusan Matematika, FMIPA Universitas Mulawarman · Jurnal Siger Matematika · 2020
Poverty is a social problem faced in almost every country. Based on BPS data published in 2018, East Kalimantan Province has a population of poor people of 222.39 thousand people or around 6.06 percent. In March 2018, the number of poor people was 218.90 thousand people or about 6.03 percent, which means the number of poor people had increased by an absolute 3.49 thousand people, this caused the percentage of poor people to rise 0.03 percent. In this study identified factors that influence the percentage of poor population using a linear spline nonparametric regression model. The data used in this study are data from the Central Statistics Agency (BPS) in 5 provinces in Kalimantan. In the nonparametric linear spline regression method using the optimal knot point based on the smallest GCV value. The results obtained an R2 value of 74.48% which shows that the model formed is feasible to be used to model the data pattern and there are 5 variables that have a significant effect on the Percentage of Poor Population, namely Population Growth Rate, School Length Average, School Old School Expectancy Rate, Level Open Unemployment, Labor Force Participation Rate.