HUBUNGAN ANTARA DESAIN PRODUK DAN HARGA DENGAN KEPUTUSAN PEMBELIAN SEPEDA MOTOR HONDA BEAT PADA MAHASISWA FAKULTAS EKONOMI UNIVERSITAS NEGERI JAKARTA DI JAKARTA
Daftar Isi:
- MAULANA AWAN SETIAWAN, Relationship between product design and price with Honda Beat purchasing decisions for students of the Faculty of Economics, Jakarta State University in Jakarta. Thesis, Jakarta: Business Education Study Program, Faculty of Economics, State University of Jakarta.2018 This research was conducted at the Faculty of Economics, Jakarta State University, for 6 months, which is calculated from February 2018 to July 2018. The purpose of this study was to determine the relationship between product design and price with Honda Beat purchasing decisions for students of the Faculty of Economics, Jakarta State University in Jakarta. The research method used is a survey method with a correlational approach, the population used is a student of the Faculty of Economics, Jakarta State University who has a Honda beat motorbike. The sampling technique used was purposive sampling technique as many as 150 people. The resulting regression equation is Ŷ = 37.462 + 0.240 X1 + 0.208 X2. Test requirements analysis is the test for normality with Kolmogorov-Smirnov test with a level of significance (α) = 5% or 0.05 and produces a significant level of Y valued at 0.98, X1 is worth 0.93, X2 is worth 0.94. Because the level of significance of the three variables is> 0.05, it can be concluded that the data is normally distributed and can be used in subsequent analyzes. Regression linearity test Y for X1 results in Fcount <Ftable ie 1.304 <3.056 and regression linearity test Y for X2 results in Fcount <Ftable that is 1.014 <3.056, so that the regression equation is linear. From significance test of regresi Y over X1 and X2 yield Fcount> Ftable that is, 14,655> 3,056, so it can be concluded that, the regression equation is significant. Furthermore, t test was performed and Y was generated on X1 thitung = 3.280 and t table = 1.65529, Y on X2 thitung = 3.291 and t table = 1.65529. Thus, it can be concluded that, the correlation coefficient is positive and significant on the relationship between product design with purchase decision and the relationship between price and purchase decision. The coefficient of determination Y on X1 and X2 obtained is 0.166 indicating that 16,6% purchase decision variable determined by product design and price. Keywords: Purchase Decision, Product Design, Price