Reliability Test MIICEMA Vol 3 MANAGEMENT

MIICEMA 2014 10-11 November 2014 Hotel Bangi-Putrajaya, Malaysia 171 Private employee Additional 35 3 22,2 1,89 5 Income 1 million 1 million - 2,5 million 2,5 million - 5 million 34 63 61 21,5 39,8 38,6 Futhermore, There has been a lot of product purchase such as electronic equipment with the number of respondent was 25 at 15,8, Cosmetic with number of respondent 21 respondent with 13,3 , CD 22 at 13,9, Book 27 at 17,1, souvenir 28 at 17,7 and bag, watch, dress 35 at 22,2. Based on the result research have also been know to visit the online site name is rakuten .co.id with the number of respondent by 18 at 11,4, kaskus.com with number of respondent by 25 at 15,8, tokobagus.com with number of respondent by 36 at 22,7, berniaga.com. with number of respondent by 30 at 18,9, lazada.co.id with the number respondent by 21 at 13,3 and also bhinneka.com the number of respondent 28 by at 17,7. Testing Hypothesis Multiple Linear Reggresion In statistic, multiple linear regression analysis is a method used to draw a linear relationship between few independent variables and dependent variables. Table 4. Coefficients of Multiple Regressions Model Coefficients a Model Unstandarized Coefficients Standarized Coefficients B Std Error Beta T Sig. Constant .251 .303 .386 .314 1.935 .148 .179 .135 .270 .302 .286 .130 2.051 2.162 2.342 .898 .047 .036 .025 In table 4, the unstandardized beta coefficient is used for the values of the numbers in the linear regression equation. Theory explains that a higher beta value indicates a greater impact of the independent variable on the dependent variable. The independent variable Perceived Usefulness, Perceived Ease of Use, Purchase Intention, and Consumer Trust can be ranked according to the magnitude of the beta coefficient to determine which component has the most significant . Therefore, the multiple regressions equation of this study is: Y = 0,251+ 0.303 X 1 + 0.386X 2 + 0,314X 3 Based on the result obtained, that using behavioral online of the most significant impact on customer trust , as it has the highest beta value, followed by perceived ease of use, purchase intention, and perceived usefulness. Table 5. Model Summary of Multiple Regression Model Summary Model R R Square Adjusted R Square Std.Error of The Estimate 1 0,434 0,454 0,540 0,07106