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a. Simultaneous Regression Analysis Test - F
Test of F statistic is basically indicates whether independent variables altogether can influence the dependent variable. In this research, F test
done by seeing probability value.
ANOVA
a
Model Sum of
Squares df
Mean Square
F Sig.
1 Regression
.135 3
.045 3.541
.028
b
Residual .330
26 .013
Total .465
29 a. Dependent Variable: SR
b. Predictors: Constant, SIC, BOC, AC Source: Processed from secondary data SPSS ver 21.0
Based on table above, the result of F test shows that value of F is 3.541 and probability value is 0,028 0,05 sig. F 0.05. This result
indicates that the variable of GRI G3 Index is simultaneously influenced by size of Board of Commissioners BOC, size of Independent
Commissioner IC and size of Audit Committee AC
b. Partial Regression Testing T-test
Test of t statistic performed to determine the effect of one independent variable towards the dependent variable. In this research, t test done by
seeing probability value.
Coefficients
a
Model Unstandardized
Coefficients Standardized
Coefficients t
Sig. Collinearity
Statistics B
Std. Error
Beta Tolerance VIF
1 Constant
1.163 .119
9.792 .000 BOC
-.016 .008
-.335 -2.145 .042 .940 1.064
SIC -.484
.180 -.414 -2.685 .012
.964 1.037 AC
.015 .013
.189 1.197 .242 .916 1.092
a. Dependent Variable: SR Source: Processed from secondary data SPSS ver 21.0
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Based on table above, the result of t test can be concluded based on probability value value Significance error rate
α=0.05 = Ho
is rejected, which will be explained as below: 1
Size of Board of Commissioners BOC Based on table above, the result of t tests toward variable of Board of
Commissioners BOC measured by the number of Board of Commissioners shows that probability value is 0.042 p 0.05. It
means that Board of Commissioners has influence to the GRI G3 disclosure. Thus, the first hypothesis H1, which states that size of
board of commissioners has influence to quality of sustainability report, is accepted.
2 Size of Independent Commissioner IC
Based on table above, the result of t tests toward variable of Independent Commissioner IC measured by the ratio or percentage
between the numbers of the Independent Commissioner members as compared to the total number of members of the Board of
Commissioners shows that probability value is 0.012 p 0.05. It means that Size of Independent Commissioner has influence to the
GRI G3 disclosure. Thus, the second hypothesis H2, which states that size of Independent Commissioner has influence to quality of
sustainability report, is accepted.
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3 Size of Audit Committee AC
Based on table above, the result of t tests toward variable of Size of Audit Committee AC measured by the number of Audit Committee
shows that probability value is 0.242 p 0.05. It means that Size of Audit Committee does not have influence to the GRI G3 disclosure.
Thus, the third hypothesis H3, which states that size of Audit Committee has influence to quality of sustainability report, is not
accepted.
4.2.4 Coefficient Determination Test R
2
Determination Coefficient Testing done to determine the magnitude contribution of independent variables toward the dependent variable with sees the
value of R
2
.
Model Summary
b
Mode l
R R Square Adjusted R
Square Std. Error of
the Estimate Durbin-
Watson 1
.636
a
.404 .335
.08482 1.920
a. Predictors: Constant, BOC, SIC, AC b. Dependent Variable: SR
Source: Processed from secondary data SPSS ver 21.0 Based on table above, the result shows that the correlation coefficient R²
for 0.636, which means that the correlation between the dependent variable with the independent variables are strong based on the value of R is above 0.5.
Adjusted R Square value or coefficient of determination is 0.335 or 33.5. It means that magnitude contribution of independent variables toward the dependent
variable is 33.5, while 66.5 firm value can be explained by other variable that is not included in this regression analysis.
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4.3. Interpretation
Based on multiple regression analysis as described in the previous section, the interpretation of the results is presented in three sections. The first section
discusses the influence of Board of Commissioners to the quality of Sustainability Report Disclosure H1. The second section discusses the influence of Board of
Independent Commissioners to the quality of Sustainability Report Disclosure H2. The third section discusses the influence of Audit Committee to the quality
of Sustainability Report Disclosure H3. The explanation is as follow:
1. The influence of Board of Commissioners to the quality of Sustainability
Report Disclosure
The results using multiple regression analysis obtain results that Board of Commissioners has influence of the quality of Sustainability Report Disclosure. It
can be seen from the calculated value by hypothesis testing where the significant level of Board of Commissioners is 0.042 at significant level 5 which means
value 0.042 0.05. Thus, this research can be accepted by hypothesis H1, which states that Board of Commissioners influence of the quality of Sustainability
Report Disclosure. Regression coefficient value is -0.016, which means that there is negative
relationship between Board of Commissioners to the quality of Sustainability Report Disclosure. If the number of Board of Commissioners is increased, quality
of Sustainability Report Disclosure will decrease.
2. The influence of Board of Independent Commissioners to the quality of
Sustainability Report Disclosure
The results using multiple regression analysis obtain results that Board of Independent Commissioners has influence to the quality of Sustainability
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Report Disclosure. It can be seen from the calculated value by hypothesis testing where the significant level of Board of Independent Commissioners is
0.012 at significant level 5 which means value 0.012 0.05. Thus, this research can be accepted by hypothesis H2, which states that Board of
Independent Commissioners influence of the quality of Sustainability Report Disclosure.
Regression coefficient value is -0.484, which means that there is negative relationship between Board of Independent Commissioners to the
quality of Sustainability Report Disclosure. If the number of Board of Independent Commissioners is increased, quality of Sustainability Report
Disclosure will decrease.
3. The influence of Audit Committee to the quality of Sustainability Report
Disclosure
The results using multiple regression analysis obtain results that Audit
Committee does not influence to the quality of Sustainability Report
Disclosure. It can be seen from the calculated value by hypothesis testing where the significant level of Audit Committee is 0.242 at significant level 5
which means value 0.242 0.05. Thus, this research cannot be accepted by
hypothesis H3, which states that Audit Committee influence of the quality of
Sustainability Report Disclosure. Regression coefficient value is 0.15, which means that there is positive
relationship between Audit Committee to the quality of Sustainability Report Disclosure. If the number of Audit Committee is increased, quality of
Sustainability Report Disclosure will decrease.
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CHAPTER V CONCLUSION
5.1 Conclusion
In the concept of corporate governance, companies are required to comply with the principles that will build good corporate governance, as: Transparency,
Accountability, responsibility, independence and Fairness. Thus, before the companies practicing the Sustainability Report, internal management of the
company must be managed well or meet the principles of good corporate governance relating to the terms of Transparency, Accountability and
Responsibility. With these principles of the companys obligation, it force the company
disclose the report accurately, on timely, and transparently to all information about the companys performance, ownership, and stakeholders. With the
realization of GCG, it is expected to bring the companys business development towards sustainable so it will be easier for companies to disclose the Sustainability
Report with good quality. This research examines the influence of size of Board of Committee,
Proportion of Independent Commissioners and Size of Audit Committee, towards quality sustainability reporting disclosure. This analysis are performed by using
the multiple regression analysis
method with the program ‘Statistical Package for
Social Science’ SPSS
Ver.21.0. Data samples consist of 30 sustainability report companies listed in the Indonesia Stock Exchange during the period 2009 - 2014.
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From the test results and discussions in the previous chapter can be concluded as follows:
1. To clarify whether Indonesian companies disclose the sustainability reports
with following GRI G3 index or not. Based on this research finding, GRI G3 guideline is the most complete indicators in comparison to GRI G1 and GRI
G2. In year 2009 until 2012, it became a trend for Indonesian companies to disclose their sustainability reports in line with GRI G3 guidelines. Continue
with GRI G4 for the new version as a standard for disclosure the sustainability report in 2013. But just some of few companies use the G4 as a standard of
disclosure. This research found 8 companies that disclose sustainability reports by following the guidance of GRI G3 Guideline in the years 2009 until
2014, and become 5 companies which disclose the sustainability report in accurate and complete from 2009-2014. So, the totals of sustainability report
are 30 reports which taken from 5 companies during 2009 until 2014. The 30 sustainability reports follow the GRI G3 indicators.
2. Based on the multiple regression result, Board of Commissioners and Board of
Independent Commissioners have influence to the quality of sustainability report disclosure. But Audit Committee has not influence to the quality of
sustainability report disclosure as can be seen from the result of SPSS. This implies that companies necessarily need concern about the size of Board of
Commissioners and size of Board of Independent Commissioners, as the components that influencing the dependent variable that connecting to the
quality of sustainability report disclosure, and more concern to the audit activities for Audit Committee to keep controlling the Board of
