Daftar Isi:
  • Nestiti Praneswari, The correlation between Product Quality and After-Sales Service with Purchase Decision of Samsung Smartphones at Faculty of Economics Students at Jakarta State University. This research was conducted at the Faculty of Economics studens in State University Of Jakarta, for 6 months from February to July 2019. The purpose of this study was to determine the correlation between product quality and After-sales service with the decision to purchase Samsung Smartphones for Economic Faculty students in state University of Jakarta. The research method used is a survey method using correlational, participation used is all students of the Faculty of Economics, State University of Jakarta. The sampling technique used was a Purposive sampling technique of 106 people. The resulting regression equation is Ŷ = 13,562 + 0,384 X1 + 0,385 X2. The requirements analysis test is the normality test with the Kolmogorov-Smirnov test with a significance level (α) = 5% or 0.05 and produces a significant level of 0.200. Because the significance level is> 0.05, it can be concluded that the data is normally distributed and can be used in subsequent analyzes. Y linearity regression test for X1 and Y over X2 produces a significance value in Linearity, which is 0,000 <0,05, so it is concluded that it has a linear correlation. From the Y regression test on X1 and X2 it produces Fcount> Ftable, which is 34.760> 3.08, so it can be concluded that the regression is significant. Furthermore, the t test is done and produces Y above X1 thitung = 4.296 and ttable = 1.983, Y over X2 thitung = 4.476 and t table = 1.983. The consideration coefficient value between product quality variables (X1) on purchasing decisions (Y) is 0.536 and the balance coefficient value between after-sales service variables (X2) for purchasing decisions (Y) is 0.544. So, there is a positive and significant correlation between product quality and purchasing decisions, as well as a positive and significant correlation between after-sales service and purchasing decisions. Thus, it can conclude a positive and significant correlation between product quality and after-sales service with purchasing decisions. The determination coefficient Y for X1 and X2 obtained is 0.403 which shows that 40.3% of Purchase Decision variables are determined by product quality and after-sales service. Meanwhile, the remaining 59.7% was approved by other factors not approved by the researcher. Keywords: Purchasing Decision, Product Quality, After-Sales Service