This study aims to find out whether Product Quality affects the Purchasing Decision of Vivo Smartphone products for Students of the Faculty of Economics at . The method used is a quantitative research method, which is research that collects data in the form of numbers or qualitative data that is estimated, for example contained in the measurement scale. The data collection technique used in this study used online questionnaires through social media, interviews, and observations. The respondents in this study were students of the a total sample of 74 people. The data analysis techniques used in this study are simple regression analysis, hypothesis testing, and coefficient of determination (r2) using SPSS. The results of a simple linear regression analysis were obtained Y = 1.045 + 0.832, where a = 1.045 is a constant value and the results of the t-test analysis showed the result that the t test value was 11.182 when compared with the table t value, then a table t value of 1.6660 was obtained. So it can be determined that t count > t table (11.182 > 1.6660) this can be interpreted to mean that the hypothesis H0 is rejected and Ha is accepted, which means that there is an influence between the independent variables (variable x, product quality) and the dependent variable (variable y, purchasing decision). And the coefficient of determination test obtained an Adjusterd R Square value of 0.635=35%, meaning that the purchasing decision variable is influenced by the product quality variable by 35%. While the remaining 65% is influenced by other variables
