Tujuan dari penelitian dilakukan untuk menganalisis Pengaruh dari variabel Luas Lahan, variabel Pupuk dan variabel Tenaga Kerja Terhadap jumlah Produksi Padi di Gampong Matang Baloi. Data dalam penelitian ini diperoleh melalui penyebaran kuisioner. kepada responden yang berjumlah 62 responden yang merupakan petani padi sawah Matang Baloi. Teknik sampel yang digunakan Convenien Sampling. Data di analisis dengan regresi linier berganda serta menggunakan pengujian asumsi klasik berupa uji normalitas, uji multikolinieritas dan uji heteroskedastisistas. Hasil yang ditemukan secara satu satu variabel luas Lahan berpengaruh terhadap produksi padi Gampong Matang Baloi, Pupuk berpengaruh terhadap Produksi padi Gampong Matang Baloi, Variabel Tenaga Kerja berpengaruh terhadap Produksi Padi Gampong Matang Baloi. Secara simultan variabel luas lahan, variabel pupuk dan variabel jumlah tenaga kerja berpengaruh terhadap produksi padi Gampong Matang Baloi.

Penelitian ini bertujuan untuk mengetahui pengaruh Jumlah Penduduk, Pengangguran dan Pertumbuhan Ekonomi terhadap Kemiskinan di Provinsi Kepulauan Riau. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari instansi terkait dari tahun 2007-2016. Metode analisis data yang digunakan dalam penelitian ini adalah Model Regresi Linear Berganda dengan alat bantu E-Views dan telah lulus uji normalitas dan tiga uji asumsi klasik. Hasil penelitian ini menunjukan Jumlah Penduduk berpengaruh secara signifikan dan negatif terhadap Kemiskinan di Provinsi Kepulauan Riau, Pengangguran tidak berpengaruh terhadap Kemiskinan di Provinsi Kepulauan Riau dan Pertumbuhan Ekonomi berpengaruh secara signifikan dan positif terhadap Kemiskinan di Provinsi Kepulauan Riau.

This study aims to determine the effect of life expectancy, school lenght expectancy, and gross regional domestic product on the number of poor people in Aceh Province. The data used in this study is panel data from 2011 to 2017. The data analysis method used is panel data regression analysis.This study uses panel data from 2011 to 2017. The data analysis method used is the Panel data regression analysis. The results partially show that life expectancy has a negative and insignificant effect on the number of poor people in Aceh Province, school length expectancy has a positive but insignificant effect on the number of poor people in Aceh Province, and the Gross Regional Domestic Product has a negative and insignificant effect on the poor people in Aceh Province. Simultaneously, life expectancy, school length expectancy, and gross regional domestic product have a positive and significant effect on the number of poor people in Aceh Province..

This study aims to determine the effect of the money supply, inflation and the rupiah exchange rate on national income in Indonesia. This study uses time series data from 1996-2017 obtained from www.bi.go.id, and www.bps.go.id. The tool used to analyze data is the Vector Autoregression Model (VAR) with the Impulse Respo Function (IRF). Based on research that uses the results of the VAR analysis model which shows that there is a unidirectional relationship between the variable money supply to national income and the unidirectional relationship between national income and the rupiah exchange rate. The results of the study with the analysis of the response response of the money supply took one year, the inflation variable took four years, and the exchange rate variable took three years to be stable after the shock caused by other variables in the study.

The purpose of this study was to see the effect of GRDP and Expenditure on the Provincial Government of Papua on Poverty in Papua. The data used in this study are secondary data sourced from the Central Statistics Agency (BPS). The data analysis method used in this study is multiple linear regression with the help of the program package eviews 10. The results showed that the GRDP variable has a negative effect on poverty, while the government expenditure variable does not negatively affect poverty, but together the GRDP variable and Government expenditure positively influences poverty in Papua and the magnitude of the effect of GRDP variable and government expenditure on poverty is 0.6966 (69.66%). Recommendations, it is expected that the local government of Papua can increase the GRDP which will be able to minimize poverty in Papua.Keywords: GRDP, Government Expenditure and Poverty