112
together simultaneously significantly affect the variable buying interest.
F. Results of Multiple Linear Regression Analysis
The analysis technique used in this research is multiple linear regression analysis. Multiple linear regression analysis was used as
statistical analysis tools for the study was designed to examine the variables that influence of the independent variable on the dependent
variable in which the variables used in this study is more than one. This study was followed by testing the model significance and interpretation
of the regression model.
Tabel 4.44 Results of Multiple Linear Regression Analysis
Model Unstandardized
Coefficients Standardized
Coefficients t
Sig.
B Std. Error
Beta
1 Constan
7.675 1.695
4.527 .000
x1 .056
.028 .220
2.004 .048
x2 .110
.045 .234
2.433 .017
x3 .105
.052 .218
2.013 .047
Source: SPSS output the results of the primary data that have been processed, 2016
Based on the results obtained from the regression coefficients above, it can be made a regression equation as follows:
Y = 7,675 + 0,056X
1
+ 0,110X
2
+ 0,105X
3
+ e
113
Where: Y = Customer Loyalty
X1 = Service Quality X2 = Sales Promotion
X3 = Customer Satisfaction
G. Coefficient of Determination Test Results Adjusted R
²
The coefficient of determination R
²
aims to measure how far the ability of independent variables service quality, sales promotion,
customer satisfaction in explaining the variation of the dependent variable buying interest. The coefficient of determination is between
zero and one. A value close to the mean is the independent variables provide almost all the information needed to predict the dependent
variable Ghozali, 2011: 97.
Tabel 4.45 Coefficient of Determination Test Results Adjusted R²
Model Summary
b
Model Adjusted R Square
1 .264
a. Predictors: Constant, x3, x2, x1
b. Dependent Variable: y Source: SPSS output the results of the primary data that have been
processed, 2016
114
From the table above is known coefficient Adjusted R
²
of 0,264. This result means that the independent variable service quality, sales
promotion and customer satisfaction at 0,264 against the dependent variable is customer loyalty, while the remaining 73,6 100 - 26,4
is explained by other variables not included in this models.
115
CHAPTER V CONCLUSION AND IMPLICATION
A. Conclusions
Based on the results of analysis and discussion in the previous chapter then obtained conclusions regarding, Analysis Service Quality, Sales
Promotion and Customer Satisfaction toward Customer Loyalty. These
conclusions include:
1. There is significant influence between Service Quality and Customer Loyalty on Carrefour Lebak Bulus.
2. There is significant influence between Sales Promotion and Customer Loyalty on Carrefour Lebak Bulus.
3. There is significant influence between Customer Satisfaction and Customer Loyalty on Carrefour Lebak Bulus.
4. There are significant influence between Service Quality, Sales Promotion, and Customer Satisfaction to Customer Loyalty on
Carrefour Lebak Bulus.
B. Implication
Based on the conclusions obtained in the study, then there are various suggestions put forward by the researchers based on the results of
the study as follows: 1. In terms of service quality, Carrefour Lebak Bulus is good
enough in providing services to consumers. Based on the Recapitulation of the value Agreed Lowest found in research
