MENGANALISIS PENGARUH KEMISKINAN DI PROVINSI RIAU DENGAN METODE ANALISIS REGRESI LINEAR BERGANDA DAN DATA PANEL
Abstract
Poverty is a state of being unable to meet basic human needs such as food, clothing, shelter, education, and health. The poverty rate can be influenced by population, employment, and unemployment. Moreover, the world's economic conditions are changing from time to time, requiring humans to survive in every situation. The poverty research conducted in Riau Province requires large data and data management, and the data used uses time series data. The data used in this research is secondary data obtained from the official website of the Indonesian Central Bureau of Statistics. This study aims to determine the effect of poverty in Riau Province in 2018-2021 and compare the two methods used to analyze this research. The two methods used in this study are Panel Data Regression which includes Common Effect Model (CEM), Fixed Effect Model (FEM), Random Effect Model (REM), and Multiple Linear Regression. The study results show that the panel data linear regression method is the most appropriate for data on the influence of poverty in Riau Province in 2018-2021.
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