HUBUNGAN ANTARA BAURAN PEMASARAN DENGAN KEPUASAN KONSUMEN GIANT SLIPI JAYA PADA WARGA RW 03 KELURAHAN KOTA BAMBU UTARA JAKARTA BARAT

Noviyarni, Riza (2016) HUBUNGAN ANTARA BAURAN PEMASARAN DENGAN KEPUASAN KONSUMEN GIANT SLIPI JAYA PADA WARGA RW 03 KELURAHAN KOTA BAMBU UTARA JAKARTA BARAT. S1 thesis, Universitas Negeri Jakarta.

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Abstract

RIZA NOVIYARNI. The Relationship Between Marketing Mix With Consumer Satisfied On Giant Slipi Jaya In RW 03 Kelurahan North Kota Bambu West Jakarta. Study Program Of Commerce Education, Department Of Economics and Administration, Faculty of Economics, State University of Jakarta, May 2016. The research was conducted at RW 03 Kelurahan North Kota Bambu, West Jakarta, for eight months from October 2016 until June 2016. The research method used is survey method with the correlational approach. Population in this research is the consumers Giant Slipi Jaya in di RW 03 North Kelurahan Kota Bambu Kecamatan Palmerah, West Jakarta. The possible populations were RT 10 RW 03 and RT 11 RW 03 residents who shopping in Giant Slipi Jaya. The technique which is used in gathering the sample was purposive sampling technique about 55 residents. The resulting regression equation is Ŷ = 34,812 + 0,602 X. The requirements analysis of the normality test error of estimated regression of Y on X to produce Lcount liliefors test = 0.076, while the Ltable for n = 55 at 0.05significant level is 0.119. Because the Lcount < Ltable thenan error estimate of Y on X is normally distributed. Testing linearity of regression produces Fcount > Ftable, which is 1.12 < 1.96, so it was concluded that the linear equation is linear. From test significance regression produces Fcount > Ftable, which is 64.56 > 4.03,meaning that the regression equation is significant. Correlation coefficient of Pearson Prodcut Moment generating rxy = 0.741, then performed the test significance correlation coefficient using the t test an the resulting tcount = 8.03 and ttable = 1.68. It can be concluded that there is a positive relationship and significant between variable Y with variable X. The coefficient of determination obtained for 54.92% which shows that 54.92% of the variation of consumer satisfied is determined by the marketing mix.

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