HUBUNGAN ANTARA IKLAN DAN GAYA HIDUP DENGAN KEPUTUSAN PEMBELIAN PONSEL PINTAR OPPO PADA MAHASISWA PENDIDIKAN TATA NIAGA FAKULTAS EKONOMI DI UNIVERSITAS NEGERI JAKARTA

Tarantiarno, Willies (2017) HUBUNGAN ANTARA IKLAN DAN GAYA HIDUP DENGAN KEPUTUSAN PEMBELIAN PONSEL PINTAR OPPO PADA MAHASISWA PENDIDIKAN TATA NIAGA FAKULTAS EKONOMI DI UNIVERSITAS NEGERI JAKARTA. S1 thesis, Universitas Negeri Jakarta.

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Abstract

WILLIES TARANTIARNO,. The Correlation between Advertising and Price with The Purchase Decision OPPO Samsung on student Program of Commerce Education Faculty Economics State University Of Jakarta Thesis,Jakarta,Study Program of Commerce Education, Faculty of Economics, State University of Jakarta This research was conducted at State University of Jakarta, East Jakarta, for 5 months since March 2017 until July 2017. The purpose of this research is to know the relationship between advertising and lifestyle with purchase decision OPPO smartphone on student Program of Commerce Education Faculty Economics State University Of Jakarta. The research method used was survey method with the correlation approach, population used is the entire citizens in RT 03/08 State University of Jakarta, East Jakarta ever making a purchase the OPPO smartphone. Sampling technique is used with a Purposive sampling technique as much as 117 people. The resulting regression equation between X1 and Y is Ŷ = 41.10 + 0.5617X1. Test requirements analysis regression estimates of error normality test of Y over X1 with Liliefors = Lcount generating test 0,401 to Y over X1, while Ltable for n = 110 at significant levels 0.05 is = 0.0844. Because Lcount < Ltable then an error estimate regression of Y over X gaussian regression Linearity Test yield. Fcount < Ftable is 0,07 < 1,62, so it can be concluded that the linear regression equation of the regression produces a meaningfulness test Fcount > Ftable is, 82,30 > 3,99, so it can be inferred that the regression equation is significant. The correlation coefficients of pearson product moment produces rxy = 0,658 next meaningfulness coefficient correlation test is performed using a test t and produced tcount = 9,072 ttable = 1.65 and thus, it can be concluded that the coefficient correlation rxy = 0.658 is a positive and significant. coefficient determination of 0.4325 obtained showed 43.25% of purchase decisions variable defined by the advertising. While the resulting regression Equation between X2 and Y is Ŷ = 47,74 + 0.4729X2. Test requirements analysis is regression estimates of error normality test of Y over X2 test with the Liliefors produce Lcount = 0,527 for Y over X2, while the Ltable for n = 110 at significant levels 0.05 is = 0.0844. Because Lcount < Ltable then an error estimate regression of Y over X gaussian regression Linearity Test yield. Fcount < Ftable is 0.05 < 1.62, so it can be concluded that the linear regression equation of the regression produces a meaningfulness test Fcount > Ftable is, 50,57 > 3,99, so it can be inferred that the regression equation is significant. The correlation coefficients of pearson product moment produces rxy = 0,708 next meaningfulness coefficient correlation test is performed using a test t and produced tcount = 7,111 ttable = 1.65 and thus, it can be concluded that the coefficient correlation rxy = 0.708 is a positive and significant. Coefficient determination of 0.3168 obtained showed 31.68% variable purchase decisions is determined by the lifestyle.

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