Analisis Perubahan Nilai Tukar Rupiah Akibat Peningkatan Inflasi, Tingkat Suku Bunga SBI dan Pertumbuhan Ekonomi (Studi Pada Bank Indonesia Periode 2008 – 2017)

Abstract

The purpose of this study was to determine the simultaneous effect of the inflation rate, interest rates and economic growth on the rupia exchange rate. This study also examines the partial effect of the inflation rate on the rupia exchange rate, finds the effect of interest rates on the rupia exchange rate, and economic growth on the rupia exchange rate. The research method used in this study is a quantitative method. The data source used is secondary data in the form of a Time Series. Time-series data is data that is collected over a specified period / period of time. The data collection technique used in this research is the documentary method taken from the Central Bureau of Statistic's data. From the calculation of the F value it is known that 0.00467 < 0.050, so there is a simultaneous influence of the inflation rate, interest rate and economic growth variables on the Rupiah exchange rate. The regression equation is Y = . The inflation rate coefficient for variable X1 is 0.009 and positive. This shows that the inflation rate has a direct relationship with the Rupiah exchange rate. This means that every time one unit of inflation increases, the beta variable (Y) of the rupia exchange rate will also increase by 0.009 with the assumption that other independent variables from the regression model have been corrected. The value of the interest rate coefficient for variable X2 is -0.02 and is negative. This indicates that the interest rate has a direct relationship with the Rupiah exchange rate. This means that each time the interest rate increases by one unit, the beta (Y) variable of the rupia exchange rate will decrease by 0.02 assuming that the other independent variables of the regression model have been corrected. If the value of economic growth (X3) increases one point, then the Y value will decrease by 0.06, assuming that the other independent variables of the regression model are fixed.Keywords: Inflation rate, interest rate, economic growth, rupia exchange rate