HUBUNGAN ANTARA ATRIBUT PRODUK DENGAN KEPUASAN PELANGGAN SMARTPHONE SMARTFREN ANDROMAX PADA SISWA SMK NEGERI 31 DI JAKARTA PUSAT

Maulana, Abiq (2015) HUBUNGAN ANTARA ATRIBUT PRODUK DENGAN KEPUASAN PELANGGAN SMARTPHONE SMARTFREN ANDROMAX PADA SISWA SMK NEGERI 31 DI JAKARTA PUSAT. S1 thesis, Universitas Negeri Jakarta.

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Abstract

ABIQ MAULANA, The Correlation Between Product Attribute With Costumer Satisfaction Smartfren Andromax Smartphone on the 31 vocational high schools, Central Jakarta. Study Program of Commerce Education, Department of Economics and Administration, Faculty of Economics, State University of Jakarta, June 2015. The research was conducted at 31 Vocational High School , Central Jakarta, for four months from March 2015 until June 2015. The research methodused is survey method with the correlational approach. Population in this research is all of students who use smartfren andromax, whereas the possible populations are student class X who using smartfren andromax, amounting to 56 peoples. The technique which is used in gathering the sample was simple random sampling about 48 peoples. To capture data from these two variables are used questionnaire Likert scale models for Product Attribute (variable X) and Customer Satisfaction (Variable Y). Before the instrument is used tested the validity for both variables. For variable X, from 34 points statement after statement validated there are 5 points that drop invalid, while meeting the criteria or a valid statement consists of 29 points. For variable Y, From 34 points statement after statement validated contained 6 points that drop invalid, while meeting the criteria or invalid items comprised 28 statements. Reliability calculation of both variables using Cronbach Alpha formula. The results of the X variable reliability of 0.904 and the reliability of variable Y at 0.916. These results prove that the instrument is reliable. The resulting regression equationis Ŷ=78.44+0.34X. Testrequirements analysis of the normality tester or of estimated regression of Y on X to produce Lcount liliefors test=0,1213, while the Ltable for n= 40 at 0.05 significant levelis0.1279. Because the Lcount<Ltable then an error estimate of Y on X is normally distributed. Testing linearity of regression produces Fcount<Ftable is 1,21<2,05, so it was concluded that the linear equation regression. From test significance regression produces Fcount>Ftable, which is 45,70> 4,05, meaning that the regression equationis significant. Correlation coefficient of Pearson Product Moment generating rxy=0,706, then performed the test significance correlation coefficient using the t testandthe resulting tcount=6,760and ttable=1,66. It can be concluded that the correlation coefficient rxy=0,706 is significant. The coefficient of determination obtained for 49,83% which shows that 49,83% of the variation of customer satisfaction determined by the product atribute.

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