HUBUNGAN ANTARA GAYA HIDUP DAN ATMOSPHERE TOKO DENGAN PEMBELIAN IMPULSIF (IMPULSE BUYING) DI MATAHARI DEPARTEMENT STORE KRAMAT JATI PADA WARGA RT 11 DAN RT 12 RW 09 KRAMAT JATI KELURAHAN KRAMAT JATI KECAMATAN KRAMAT JATI JAKARTA TIMUR

Saputra, Yogi (2017) HUBUNGAN ANTARA GAYA HIDUP DAN ATMOSPHERE TOKO DENGAN PEMBELIAN IMPULSIF (IMPULSE BUYING) DI MATAHARI DEPARTEMENT STORE KRAMAT JATI PADA WARGA RT 11 DAN RT 12 RW 09 KRAMAT JATI KELURAHAN KRAMAT JATI KECAMATAN KRAMAT JATI JAKARTA TIMUR. S1 thesis, Universitas Negeri Jakarta.

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Abstract

YOGI SAPUTRA. The Relationship Between Lifestyle and Store Athmosphere with Impulse Buying in Matahari Departement Store kramat jati at RT 11 dan RT 12 RW 09 kramat jati kecamatan kramat jati east jakarta This research was conducted in RT 11 dan RT 12 RW 09 kramat jati kecamatan kramat jati east jakarta, for five months, starting form Januari 2017 until Juni 2017. The purpose of this study is to determine correlation between Lifestyle and Store Athmosphere with Impulse Buying in Matahari Departement Store kramat jati at RT 11 dan RT 12 RW 09 kramat jati kecamatan kramat jati east jakarta. The research method used is survei method with the correlational approach. The population is RT 11 dan RT 12 RW 09 Kramat Jati residents of Kramat East Jakarta who have visited Matahari Department Store Kramat Jati twice or more and are satisfied to be the customer of Matahari Departement Store Kramat Jati. Its affordable population is RT 11 and RT 12 Kel. Kramat Jati as many as 187 people. The sampling technique used is purposive sampling as many as 114 people. The resulting regression equation is Ŷ = 49,96 + 0,46 X1. The requirements analysis that estimates the error normality test regression of Y on X1 with the test Lilliefors Lcount = 0,055, while Ltable for m 114 at 0,05 significant level is 0,083 because Lcounr< Ltable the estimated error of Y over X normally distribution. Testing Linearity of regression produces Fcount< Ftable is (1,09)<(1.60), so it’s concluded that the linear equation regression. Hypothesis testing form the significance regression produces Fcount> Ftable which (108,44)>(3,94) meaning that the regression equation is significant. Correlation coefficient of Pearson Product Moment generating rxy =0,70. Then tested the significance of correlation coefficient by using t test and generated tcount = 10,413 and t table = 1.66. Thus it can be concluded that the correlation coefficient rxy = 0.701 is positive and significan. Coefficient of Determination which showed the result of 49,19% Impulsive Buying variable determined by Lifestyle. The regression equation generated between X2 and Y is Ŷ = 38.56 + 0.61 X2 Test requirement analysis that is test of normality error of regression estimation Y over X2 with Lilliefors test yield Lcitung = 0,0565, while Ltabel for n = 114 at significant level 0, 05 is 0.083 Because Lhitung <LTabel then the estimated error of Y over X2 is normally distributed. The regression linearity test yields Fcount <Ftable (0.77) <(1.63) it can be concluded that the regression equation is linear. The regression significance test yields Fcount> Ftable (78.00)> (3.93) so it can be concluded that the regression equation is significant. Coefficient of product moment correlation from pearson resulted rxy = 0.641 then tested significance coefficient correlation by using t test and generated t = 8,832 and t table = 1.66. Thus it can be concluded that the correlation coefficient rxy = 0.641 is positive and significant. Coefficient Determination which shows the result of 41.05% Impulsive Buying variables determined by the Lifestyle and Store Atmosphere.

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