INDONESIA IN 2010-2014
III. Result of Research and Discussion In relation to research carried out in the education
and training of participants, the technical data collected in this study, is to deploy a list of questions (questionnaire) to the samples or the respondent who has been determined as many as 120 copies. From the questionnaire distributed all questionnaires can be collected, so the number of copies of the questionnaire were analyzed as many as 120 copies. In this statement the list contains statements that refer to the three research variables, namely Variable Leadership (X1), Variable Performance (X2) and motivation (Y).
1. Data Analysis and Testing Hypotheses a. Leadership variable (X1)
Leadership variables examined in this study, the results of computer calculations obtained:
Statistical leadership N
Valid
Missing
Mean Median Mode Std. Deviation Variance Range Minimum Maximum
120 0 54.8596 53.0000 63.00 6.0234 36.2810 23.00 45.00 68.00
For a description of the results of research data variable frequency Leadership (X1), can be presented in a frequency distribution as follows:
Distribution Frequency Data Leadership
Frequency Percent Valid Percent
Cumulative Percent
Valid 45.00 4 1.8 1.8 1.8
46.00 6 5.3 5.3 7.0
47.00 4 3.5 3.5 10.5
48.00 6 5.3 5.3 15.8
49.00 6 5.3 5.3 21.1
50.00 9 7.9 7.9 28.9
51.00 8 7.0 7.0 36.0
52.00 14 12.3 12.3 48.2
53.00 5 4.4 4.4 52.6
54.00 5 4.4 4.4 57.0
55.00 2 0.9 0.9 57.9
56.00 2 0.9 0.9 58.8
57.00 2 1.8 1.8 60.5
58.00 3 2.6 2.6 63.2
59.00 4 3.5 3.5 66.7
60.00 8 7.0 7.0 73.7
61.00 5 4.4 4.4 78.1
62.00 6 5.3 5.3 83.3
63.00 15 13.2 13.2 96.5
64.00 4 2.6 2.6 99.1
68.00 2 0.9 0.9 100.0
120 100.3 100.3
b. Variable Performance (X2)
Performance variables examined in this study, the results of computer calculations obtained:
Statistical Performance N Valid
Missing
Mean Median Mode
Std. Deviation Variance Range Minimum Maximum
120 0 54.8509 53.5000 50.00 6.2912 39.5793 24.00 43.00 67.00
Distribution Frequency Data Performance
Frequency Percent Valid Percent
Cumulative Percent
Valid 45.00 4 1.8 1.8 1.8
46.00 6 5.3 5.3 7.0
47.00 4 3.5 3.5 10.5
48.00 6 5.3 5.3 15.8
49.00 6 5.3 5.3 21.1
50.00 9 7.9 7.9 28.9
51.00 8 7.0 7.0 36.0
52.00 14 12.3 12.3 48.2
53.00 5 4.4 4.4 52.6
54.00 5 4.4 4.4 57.0
55.00 2 0.9 0.9 57.9
56.00 2 0.9 0.9 58.8
57.00 2 1.8 1.8 60.5
58.00 3 2.6 2.6 63.2
59.00 4 3.5 3.5 66.7
60.00 8 7.0 7.0 73.7
61.00 5 4.4 4.4 78.1
62.00 6 5.3 5.3 83.3
63.00 15 13.2 13.2 96.5
64.00 4 2.6 2.6 99.1
68.00 2 0.9 0.9 100.0
120 100.3 100.3
c. Motivation variable (Y)
Motivation variables examined in this study, the results of computer calculations obtained:
StatisticalMotivation N
Valid
Missing Mean Median Mode
Std. Deviation Variance Range Minimum Maximum
120 0 54.7368 52.5000 50.00a 6.0573 36.6912 23.00 45.00 68.00
Distribution Frequency Data Motivation
Frequency Percent Valid Percent
Cumulative Percent
Valid 45.00 2 1.8 1.8 1.8
46.00 2 1.8 1.8 3.5
47.00 4 3.5 3.5 7.0
48.00 11 9.6 9.6 16.7
49.00 7 6.1 6.1 22.8
50.00 13 11.4 11.4 34.2
51.00 11 9.6 9.6 43.9
52.00 7 6.1 6.1 50.0
53.00 5 4.4 4.4 54.4
54.00 2 1.8 1.8 56.1
55.00 3 2.6 2.6 58.8
56.00 2 0.9 0.9 59.6
57.00 3 1.8 1.8 61.4
58.00 2 0.9 0.9 62.3
59.00 2 1.8 1.8 64.0
60.00 10 8.8 8.8 72.8
61.00 7 6.1 6.1 78.9
62.00 13 11.4 11.4 90.4
63.00 4 3.5 3.5 93.9
64.00 4 3.5 3.5 97.4
65.00 3 0.9 0.9 98.2
66.00 2 0.9 0.9 99.1
68.00 1 0.9 0.9 100.0
120 100.1 100.1
2. Test Requirements Analysis
For the purposes of testing the normality of the data, carried out in two ways: created histogram for the distribution of standardized residuals, and graphed Normal Probability Plot on every model. To obtain accurate results, calculations are performed with SPSS version 11, a result the researchers pointed out as follows:
Based on chart illustrating the relationship between the value predicted by Studentized Delete Residual, it appears that the distribution of data around the zero point and did not seem the existence of a certain pattern on the distribution of the data. Thus the regression model complies with the requirements specified.
3. Hypothesis Testing
In this study, the hypothesis proposed to identify and analyze the effect of the three variables, namely:
a. The first hypothesis to determine the effect on the performance leadership variables on education and training participants.
b. The second hypothesis to determine the effect on the motivation of performance variables on education and training participants.
c. The third hypothesis to determine the effect of variables of leadership and performance on the motivation of the participants of education and training.
4. t Test for Hypothesis One
Ho : b1 = 0 : there is no influence on the Performance Leadership variables on education and training participants.
H1 : b1 # 0 : there is a variable effect on the Performance Leadership on education and training participants.
If point oft
hitung>t
tabel, so
hence Ho refused and H1 accepted.From the data processing research with the aid of computer calculation program SPSS version 11 obtained t value of 4.829 while the amount of t table with degrees of freedom (df) 120 on the α (0,05) 1,96.
Thus the t (4.829)> t table (1.96), so that Ho refused and H1 accepted, as shown in Table 4-3 below:
Coeficients
Model
Unstandardiz ed Coeficients
Stand ardize d Coefi
sients t Sig.
Correlations
B Std.
Error Beta Zero
- orde
r
Part ial Part
1.(Con stant) Leader ship Motiva tion
2.52 4 .411 .541
1.517 .085
.081 .409 .562
1.6 64 4.8
29 6.6
39 .09
9 .00
0 .00
0
.940 .949 .41
7 .53
3 .13
2 .18
1 With proven t count> t table, it can be stated that leadership and significant positive effect on the of education and training participants.
5. t test for Hypothesis Two
The second research hypothesis proposed is:
there is an influence on the performance of participants Motivation on education and training, or the mathematical formula can be described as follows Ho : b1 = 0 : there is no influence on the
Performance variables on motivation education and training participants.
H1 : b1 # 0 : there is a variable effect on the Performance on motivation in education and training participants.
If point of thitung>ttabel, so hence Ho refused and H1
accepted.
From the data processing research with the aid of computer calculation program SPSS version 11 obtained t value of 6.639 while the amount of t table with degrees of freedom (df) 120 on the α (0,05) 1,96.
Thus the t value (6.639)> t table (1.96), so that Ho refused and H1 accepted. With proven t count> t table, it can be stated that the motivation of the performance on education and training participants.
6. t test for Hypothesis Three
The third research hypothesis proposed is:there are significant variables and Performance Leadership jointly positive and significant impact on the motivation of education and training, or by the following formula:
Ho : b1 = b2 = 0 : there is no influence of Leadership and Motivation together on the Performance of the education and training participants.
H1 : one or both b1 # 0: there is an influence of Leadership and Motivation together on the Performance of the education and training participants.
If the value of F count> F table, then Ho is rejected and H1 accepted, as seen in Table below:
Tabel : ANOVA Model
Sum of Square
s
df Mean
Square F Sig.
1. Regres sion Residu al Total
3802.4 33 343.67
2 4146.1
05 2 11
8 12
0
1901.2 16 3.096
614.0 59
.00 0a
From the data processing research with the aid of computer calculation programs obtained SPSS calculated F value of 614.059 while the amount F table with degrees of freedom (df) 2 and 120 in the α (0.05) of 3.07. Thus F count (614.059)> F table (3.07), so that Ho refused and H1 accepted. With proven F count> F table, it can be stated that the Leadership and Performance bersam both the motivation.
7. The coefficient of determination (R2)
The coefficient of determination used to determine the level of diversity variael bound Y (Performance) caused by the difference in the independent variable X1 (Leadership) and independent variables X2 (Performance). With the help of computer processing of research data is based on the calculation of SPSS version 11 was obtained R2 value of 0.917.
This means that the diversity performance of 91.7%
due to the diversity of leadership and performance, while the remaining 8.3% is caused by other factors not examined.
Model Summaryb Mode
l
R R
Squar e
Adjuste d R Square
Std.
Error of the Estimat e
Durbin - Watso n
1 .958
a
.917 .916 1.7596 1.942
a. Predictors : (Constant), Performance, Leadership b. Dependent Variabel : Motivation
8. Multiple Regression Equations
Multiple regression equation is a regression model to see the effect of variable Leadership (X1) and Performance (X2) the motivation variable (Y). From processing computer based calculations SPSS version 12, is obtained:Ŷ = 2,254 + 0,411 X1 + 0,541 X2
That mean :
a. Each increase of 1 scores leadership variables affect the increase in variable performance score of 0.411 with the assumption that work motivation variable is constant.
b. Each penigkatan 1 score motivation variable influence on the increase in variable performance score of 0.541, assuming constant Leadership variable / fixed.
9. Discussion
Referring to the results of analysis of the effects on the Performance Leadership and Motivation in education and training participants, need to be discussed further existence of each variable as follows:
a. The effect on the performance of leadershipon education and training participant.
Based on the results of the research with the help of data processing calculation program SPSS version 11 obtained t value of 4.829 while the amount of t table with degrees of freedom (df) 120 on the α (0,05) 1,96 thus the value t count> t table, so Ho: rejected, H1: accepted.
Although the results of hypothesis testing has proved their leadership influence on the performance significantly, but should continue to be taken innovative steps and constructively in order to improve performance through a variety of approaches.
b. The effect on motivation performance in education and training participants.
Based on the results of the research with the help of data processing calculation program SPSS version obtained t value of 6.639, while the amount of t table with degrees of freedom (df) 120 on the α (0,05) 1,96 thus the value of t> t tab, so Ho: rejected, H1: accepted.
Although the results of hypothesis testing has proven the influence of motivation on performance is significant, but the need continues taken steps inovatifasi and constructively in order to improve performance in education and training participants.
c. The ffect of Leadership and Performance together to Motivation
From the results obtained by the data processing calculated F value of 614.059, while the amount of F table with degrees of freedom (df) 2 and 113 in the α (0.05) of 3.07. Thus F count> F table, soHo: rejected, H1: accepted.
In other words, the better the application of good leadership is accompanied by a high motivation, it will also increase the performance of the education and training participants. In addition, the views of the coefficient of determination seen that, it turns out the degree of variation of 91.7% performance in education and training participants caused by Leadership and Performance is the dominant factor in increasing motivation, which is only 8.3% Motivation is influenced by other factors in this study were not analyzed.
From the description above, it can be said that the better leadership with high motivation, it will improve the performance of education and training of participants, in addition, is expected to give a good contribution to the process of improving the performance of employees in education and training participants,