Penerapan Regresi Linier Berganda dalam Menganalisis Faktor yang Mempengaruhi Produk Domestik Regional Bruto(Pdrb) di Kota Pematangsiantar

Abstract

Gross regional domestic product is one indicator of the level of welfare in an area. Gross Regional Domestic Product consists of several types of business fields. in the Pematangsiantar City area, there are 3 types of business fields that have a high enough influence in increasing the value of the Gross Regional Domestic Product, including: types of business fields wholesale and retail trade, car and motorcycle repair, manufacturing and construction industry. In this study, the data used are data from 2012-2021. The data used is secondary data taken from the website of the Central Bureau of Statistics of Pematangsiantar City. The method used is multiple linear regression where this analysis is used to determine the functional relationship between the dependent variable and the independent variable, the coefficient of determination, the correlation coefficient, to determine the relationship whether each variable is positively or negatively related and to determine the magnitude of the influence of each independent variable to the dependent variable. Where the independent variable consists of 3 variables, namely wholesale and retail trade, car and motorcycle repair (X1), processing industry (X2) and construction (X3). From the results of the study, it was found that F_count>F_table, then H0 was rejected and H1 was accepted, which means that there is a significant influence between the independent variable and the dependent variable. The value of the correlation coefficient between the variables of the type of business field wholesale and retail, car and motorcycle repair (X1) with the total variable of PDRB (Y) is 0.997, the correlation coefficient between the variable type of business field is the manufacturing industry (X2) with the total variable of PDRB ( Y) is 0.995, the correlation coefficient between the variables of the type of construction business field (X3) and the total variable of PDRB (Y) is 0.995. It can be concluded that the type of business field wholesale and retail trade, car and motorcycle repair is the type of business field that has the greatest influence on the total PDRB