Effect of Price, Product Quality, and Service Quality on Customer Satisfaction on Online Product Purchases

Research has the purpose of analyzing the factors that influence price, product quality, service quality to the satisfaction of online shopping. Research uses a causal method which means that analysis is based on the cause and effect of an event, and every event obtains certainty and necessity in its existence. The results of this study can prove the effect of independent variables influencing dependent. In the t-test the price, product quality, and service quality hypothesis are acceptable. Thus the direction of the positive regression coefficient means that the price, product quality, and service quality. Therefore the most dominant variable is X3 (service quality). Furthermore the F test results are determined by the magnitude of the contribution of the price variable (X1), product quality (X2) and service quality (X3) to customer satisfaction (Y) indicated by the coefficient of determination (Adjusted R Square) of 0.134 or 1.34%. Meaning the magnitude of influence independent variables are price (X1), product quality (X2) and service quality (X3) on customer satisfaction (Y), and the magnitude of the effect of the independent variable on the dependent variable in this study is 1.34% while the rest is not influenced by other variables outside research