Sources:  -  Journal  “the  performance  of  Malaysian  Islamic  Bank  During  1984-  1997:  an exploratory study” by Abdus Samad and M. Kabir Hasan
- Journal  “Determinants  of  Islamic  Banking  Profitability”  by  M.  Kabir  Hasan  and
Abdel Hamed M. Bashir.
5. Hypothesis Planning Data Analysis
In doing analysis, the writer through the following steps:
a.  Collecting data, which related with interrelated variables such as customer and  short  term  funding  over  total  assets,  equity  financing  rate,  and
profitability.  Determining  the  value  of  interrelated  variables  match  with determined formula from previous data that already collected.
b.  Doing  statistic  testing  to  test  hypothesis  and  also  interpret  and  make analysis over the result of hypothesis testing.
c.  Making summary according to the result of statistic testing.
Hypothesis determination Simultaneously:
Ho
1
: µ  =  0  there  are  no  significant  influence  happened  simultaneously  between
customer  and  short  term  funding  over  total  assets  and  equity financing rate over Islamic bank profitability
Ha
1
: µ  ≠  0  there  are  significant  influence  happened  simultaneously  between
customer  and  short  term  funding  over  total  assets  and  equity financing rate over Islamic bank profitability
Partially: 1.  Customer and Short Term Funding over Total Assets
Ho
2: β
=  0  There  are  no  significant  influence  happened  partially  to  customer  and short term funding over total assets over Islamic bank profitability.
Ho
2: β
≠ 0 there are significant influence happened partially to customer and short term funding over total assets over Islamic bank profitability.
2. Equity financing rate Ho
3 β
= 0 There are no significant influence happened partially to equity financing rate over Islamic Bank profitability.
Ho
3 β
≠  0  There  are  significant  influence  happened  partially  to  equity  financing rate over Islamic bank profitability.
The  steps  on  hypothesis testing  in  regression  and  correlation  analysis are:
1.  Normality Test Normality test is done to knowing whether or not each variable distributes
normally. 2.  Multiple Regression Linear Analysis
Regression analysis is used to predict the value of variable Y based on the value  of  variable  X  and  also  the  changing  prediction  on  variable  Y  for
every  changing  unit  of  variable  X.  the  equation  form  of  this  multiple regression linear is:
Y = α + β
1
+ β
2
X2 + ε
Where: Y
= Profitability Return on Assets X
1
= Customer and short Term Funding over Total Assets X
2
= Equity Financing rate Mudharabah- Musyarakah ratio α
=  Constantan,  is  dependent  value,  which  in  this  matter  is  Y  when the  independent variable is 0 X
1
,X
2
=0 β
1
= Multiple regression coefficient between independent variable X
1
over  dependent  variable  Y,  if  the  independent  variable  X
2
,  and considered constant.
β
2
= Multiple regression coefficient between independent variable X
2
over  dependent  variable  Y,  if  dependent  variable  X
1
,  and considered constant.
Regression Classic Assumption test
a.  Multicolinearity  Test b.  Autocorrelation Test
c.  Heteroscedacity Test
F Test
In testing regression model which explain the relation form and influence between independent variable over dependent variable, F which can be formulated
as follows.
− −
= k
k n
F 1
− R R
1
2
Where: R
2
= Determination Coefficient
n = Sample Measure
k = Amount of independent variable
Value  F  from  the  result  of  previous  counting  then  to  be  compared  to  F table  which  is  gained  by  using  risk  rank  5  and  degree  of  numerator  and
denominator namely VI = k and V2 – n=k=1 by using following criteria: If F
counting
F
table
thus Ho is rejected If F
counting
F
table
thus Ho is accepted
If the acceptance of Ho takes place it can be meant that multiple regression model  is  significant  which  makes  result  that  the  influence  of  independent
variables are also simultaneously insignificant to the dependen variable. t Test
to  test  influence  of  dependent  variables  partially  to  independent variables.  It  uses  regression  coefficient  partially  test,  namely  by  comparing  If
t
table
and   t
counting
which can be formulated as following: t=R
xi
rx k
n 1
1 −
− −
Each t results of this counting then to be compared to t
table
which is gained using real level 0,005. Criteria which is used as a comparison basic is following:
Hypothesis test uses 2 parties partially, with criteria: Ho is accepted if
: -t 12 α t  t 12α
Ho is rejected if : t -t 12
α t t 12
α
Result and Discussion Customer  and  short  term  funding  over  total  assets
is  a  ratio  between  the amount of Customer and short term funding namely the fund of member or third
party  which  consist  with  the  amount  of  giro  wadiah,  mudharabah  saving,  and mudharabah  deposit;  with  total  assets  or  total  a  total  assets  owned  by  Bank
Syariah Mandiri.
Table 5 Customer and short term funding over total assets
In Thousand Rupiah Year
CSTFT Total Assets
CSTFTA 1999
2000 2001
2002 2003
2004 2005
54.323.717 176.950.813
474.599.494 1.125.315.048
2.695.886.154 5.881.755.705
7.201.711.676 447.985.127
607.555.113 933.864.151
1.622.303.491 3.422.313.267
6.869.949.266 8.272.965.277
0,121262323 0,291250636
0,508210422 0,693652608
0,787737955 0,856157080
0,870511532
Level of Equity Financing Mudharabah-Musyarakah Ratio
Level of equity financing or cost level of sharing profit by using proxy of Mudharabah-Musyarakah  ratio  MMF  illustrate  the  amount  of  Mudharabah  –
musyarakah  cost  skim  or  cost  of  sharing  profit  equity  financing  to  the  total  of amount of cost which is given.
The  component  of  this  ratio  is  kind  of  the  amount  of  mudharabah  and musyarakah also the total amount of cost which is gained from the financial report
of Bank Syariah Mandiri. Profitability Return Assets
So profitability uses the ratio of Return On Assets ROA is kind of ratio between  profit  after  tax  or  net  profit  with  total  assets  total  activa    which  is
owned by Bank Syariah Mandiri. This ratio is used to measure the ability of bank management  in  obtaining  the  profit  totally  through  managing  the  asset  which  is
owed by bank.
Table 6 Mudharabah – Musyarakah Ratio
In thousand Rupiah Year
Mudharabah Musyarakah
Total Financing MMF
1999 2000
2001 2002
2003 2004
2005 54.323.717
176.950.813 474.599.494
1.125.315.048 2.695.886.154
5.881.755.705 7.201.711.676
1.665.000 15.331.594
32.980.735 44.451.994
283.381.084 767.144.124
1.206.011.780 38.410.014
315.728.293 653.133.877
1.140.980.782 2.169.422.166
5.295.656.006 5.847.822.344
0,073808877 0,053671737
0,054404979 0,040887625
0,155862041 0,201180988
0,290477952
So  Profitability  uses  the ratio  of  Return  on  Assets  ROA  is  kind  of  ratio between profit after tax or net profit with total assets total activa which is owned
by  Bank  Syariah  Mandiri.  This  ratio  is  used  to  measure  the  ability  of  bank management in obtaining the profit totally through managing asset which is owed
by the bank.
From  the  early  processing  data  which  is  resulted  values  obtained  from independent  variables  and  dependent  variables  of  research  as  presented  in  the
table 8. the values of those variables will be processed further by using the support of software SPSS 13.0 in order to answer the identified problem.
Table 7 Return on Assets In thousand Rupiah
Year Profit After Tax
Total Assets ROA
1999 2000
2001 2002
2003 2004
2005 0,121262323
0,291250636 0,508210422
0,693652608 0,787737955
0,856157080 0,870511532
0,073808877 0,053671737
0,054404979 0,040887625
0,155862041 0,201180988
0,2904477952 0,000383725
0,015701257 0,017886553
0,018588156 0,004679964
0,015057878 0,010131709
Table 8 Value of Research Variables
Year CSTFTA
MMF ROA
1999 2000
2001 2002
2003 2004
2005 0,121262323
0,291250636 0,508210422
0,693652608 0,787737955
0,856157080 0,870511532
0,073808877 0,053671737
0,054404979 0,040887625
0,155862041 0,201180988
0,290477952 0,000383125
0,015701275 0,017886553
0,018588156 0,004679964
0,015057878 0,010131709
Description of Research Result
At  the  below  is  presented  the  result  of  Descriptive  statistic  of  processing the variables processing is gained by assisting SPSS 13.0.
Table 9 Regression coefficient
Model Unstandardized
coefficient Standardized
coefficient t
Sig B
Std. Error
1. constant cstfta
mmf .006
023 -.061
004 008
.024 1.085
-.920
1.624 2.980
-.2.527 .180
.041 .065
Analysis of double linear regression From  the  above  table  9,  it  is  obviously  can  be  seen  that  the  functional
relation between customer and short term funding over total assets with return on assets ROA is in versely proportional whereas the relation between the level of
equity financing and ROA  is  inversely  proportional.  It  means,  every  increasing  which  takes
place  at  CSTFTA  will  be  followed  the  increasing  of  ROA  bank,  and  every increasing  the  level  of  equity  financing  will  be  followed  by  the  decreasing  of
ROA bank and vise versa. Dependent Variable: roa
For BSM: Y=0,006+0,023X
1
.-.061X
2
+ Σ
Where Y= Profitability Return on AssetsROA
X
1
= Customer and Short Term Funding over Total Assets CSTFA X
2
= Level of Equity Financing mudharah- musyarakah Financing RatioMMF
Coefficient of Correlation and Multiple Determination
In a research on the relation between dependent variables and independent variables,  some  powers  of  X
1
,  X
2
which  together  explain  the  change  of  Y  are often wanted to be known. Determination coefficient R can be seen through the
result of counting by using SPSS 13.0. at the below:
Table 10 Summary Model
Model R
R Square Adjusted R
Square Std. Error of
the Estimate Dustin –
Watson 1
.838a .702
.553 004185603930
2.218 Then  obtained  that  F
table
is  6.94.  the  summary  of  hypothesis  1  testing  result  is  as follows:
Table 11 F Test Result Model Summary
Anova
b
Model Sum of
Square Df
Mean Square
F Sig.
Regression Residual
Total .000
.000 .000
2 4
6 .000
.000 4.714
.089
a
a. Predictors: constant, mmf, cstftfa b. Dependent Variables: roa
Table 12 t Test Result Coefficient
Model Unstandardized
Coefficient Standardized
Coefficient t
Sig B
Std. Error Beta
constant cstfta
mmf .006
.023 -.061
.004 .008
.024 1.085
-.920 1.624
2.980 -2.527
.180 .041
-.065 From  table  above  can  be  obtained  that  F
count
is  4.714  while  F
table
is  6.94. so, Ho to test the existence of this double linear regression is an acceptance area.
Ho  for  significant  rate  5,  it  means  the  influence  and  relation  between independent  variables  simultaneously  Customer  and  Short  Term  Funding  over
Total Assets and Equity Financing Rate Mudharabah – Musyarakah Ratio with dependent variables is non- significant profitability Return on Assets.
t Test
Partially  testing  is  done  to  knowing  the  existence  of  relation  or  influence one  of  independent  variable  with  dependent  variable  with  assumption  that  the
other  variables  are  constant.  The  test  result  with  helps  from  SPSS  13.0.  can  be seen on the following table 12.
In testing this hypothesis, the criteria which can be used is a criteria where: Ho is accepted when: -t
12
t
count
-t
12  .
Ho is rejected when: t
count
-t
12
or t
count
t
12
with df = n-k-1 = 7-2-1 = 4 then the obtained t
table
is 2.7764. from table 4.10, can be known that value of t
count
for Customer and Short Term Funding over Total Assets is 2.980 an for equity financing rate Mudharabah- Musyarakah Ratio is -
2.527. since 2.980 2.7764 or t
count
t
12
, so Ho is in the rejection area, it means
that  the  relation  and  the  influence  happened  between  variable  Customer  and Short  Term  Funding  over  Total  Assets  with  Return  in  Assets  is  significant.
Meanwhile, -2.527 -2.77642.527or -t
12
t
count
t
12
, so Ho is in the acceptance
area,  it  means  that  the  relation  and  influence  happened  between  variable  Equity Financing Rate with Return on Assets is non-significant.
Conclusion and Suggestions Conclusion
From  the  research  that  has  been  done  and  also  explained  on  the  previous chapters, can be concluded as follows:
1. The result of hypothesis test simultaneously between Customer and Short