HUBUNGAN ANTARA IKLAN DAN HARGA DENGAN KEPUTUSAN PEMBELIAN SMARTPHONE SAMSUNG PADA WARGA RT 03/08 PERUMAHAN GRIA SERPONG ASRI DI KECAMATAN CISAUK KABUPATEN TANGERANG

SANDI NUR PRATAMA, The Correlation between Advertising and Price with The Purchase Decision Smartphone Samsung on the citizens of RT 03/08 Gria Serpong Asri in Kecamatan Cisauk Kabupaten Tangerang. This research was conducted at Gria Serpong Asri Kecamatan Cisauk, Kabupaten Tangerang, for 5 months since March 2017 until July 2017. The purpose of this research is to know the relationship between advertising and price with purchase decision Samsung smartphone on the citizens of RT 03/08 Gria Serpong Asri in Kecamatan Cisauk Kabupaten Tangerang. The research method used was survey method with the correlation approach, population used is the entire citizens in RT 03/08 Gria Serpong Asri housing Kecamatan Cisauk Kabupaten Tangerang ever making a purchase the Samsung 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 = 40.28 + 0.6052X1. Test requirements analysis regression estimates of error normality test of Y over X1 with Lilliefors = Lcount generating test 0.0569 to Y over X1, while Ltable for n = 117 at significant levels 0.05 is = 0.0819. Because Lcount Ftable is, 81.18 > 3.92, so it can be inferred that the regression equation is significant. The correlation coefficients of pearson product moment produces rxy = 0.643 next meaningfulness coefficient correlation test is performed using a test t and produced tcount = 9.010 ttable = 1.98 and thus, it can be concluded that the coefficient correlation rxy = 0.643 is a positive and significant. coefficient determination of 0.4138 obtained showed 41.38% of purchase decisions variable defined by the advertising. While the resulting regression Equation between X2 and Y is Ŷ = 41.25 + 0.5905X2. Test requirements analysis is regression estimates of error normality test of Y over X2 test with the Lilliefors produce Lcount = 0.0746 for Y over X2, while the Ltable for n = 117 at significant levels 0.05 is = 0.0819. Because Lcount Ftable is, 76.77 > 3.92, so it can be inferred that the regression equation is significant. The correlation coefficients of pearson product moment produces rxy = 0.633 next meaningfulness coefficient correlation test is performed using a test t and produced tcount = 8.762 ttable = 1.98 and thus, it can be concluded that the coefficient correlation rxy = 0.633 is a positive and significant. Coefficient determination of 0.4003 obtained showed 40.03% variable purchase decisions is determined by the price