A. Hipotesis Penelitian
1. Terdapat hubungan yang positif dan signifikan antara IPK dengan kompetensi Profesional Guru
2. Terdapat hubungan yang positif dan signifikan antara Motivasi Kerja dengan kompetensi Profesional Guru
3. Terdapat hubungan yang positif dan signifikan antara IPK dan Motivasi Kerja dengan kompetensi Profesional Guru
B. Deskripsi Data
Deskripsi data untuk Variabel X1 (IPK), Variabel X2 (motivasi kerja), dan Variabel Y (Kompetensi)
Statistics
| ||||
IPK
|
MotKer
|
Kompet
| ||
N
|
Valid
|
30
|
30
|
30
|
Missing
|
0
|
0
|
0
| |
Mean
|
27.6000
|
85.4000
|
68.9667
| |
Median
|
27.0000
|
86.0000
|
69.0000
| |
Mode
|
22.00a
|
86.00a
|
68.00
| |
Std. Deviation
|
4.05650
|
7.88539
|
4.04699
| |
Variance
|
16.455
|
62.179
|
16.378
| |
Range
|
14.00
|
26.00
|
15.00
| |
a. Multiple modes exist. The smallest value is shown
| ||||
Tabel distribusi Frekuensi
IPK
| |||||
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
| ||
Valid
|
21.00
|
1
|
3.3
|
3.3
|
3.3
|
22.00
|
4
|
13.3
|
13.3
|
16.7
| |
23.00
|
1
|
3.3
|
3.3
|
20.0
| |
24.00
|
1
|
3.3
|
3.3
|
23.3
| |
25.00
|
3
|
10.0
|
10.0
|
33.3
| |
26.00
|
3
|
10.0
|
10.0
|
43.3
| |
27.00
|
4
|
13.3
|
13.3
|
56.7
| |
29.00
|
2
|
6.7
|
6.7
|
63.3
| |
30.00
|
1
|
3.3
|
3.3
|
66.7
| |
31.00
|
3
|
10.0
|
10.0
|
76.7
| |
32.00
|
3
|
10.0
|
10.0
|
86.7
| |
33.00
|
3
|
10.0
|
10.0
|
96.7
| |
35.00
|
1
|
3.3
|
3.3
|
100.0
| |
Total
|
30
|
100.0
|
100.0
| ||
MotKer
| |||||
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
| ||
Valid
|
71.00
|
1
|
3.3
|
3.3
|
3.3
|
72.00
|
2
|
6.7
|
6.7
|
10.0
| |
74.00
|
1
|
3.3
|
3.3
|
13.3
| |
78.00
|
1
|
3.3
|
3.3
|
16.7
| |
79.00
|
2
|
6.7
|
6.7
|
23.3
| |
80.00
|
1
|
3.3
|
3.3
|
26.7
| |
81.00
|
2
|
6.7
|
6.7
|
33.3
| |
82.00
|
2
|
6.7
|
6.7
|
40.0
| |
83.00
|
2
|
6.7
|
6.7
|
46.7
| |
86.00
|
3
|
10.0
|
10.0
|
56.7
| |
88.00
|
2
|
6.7
|
6.7
|
63.3
| |
89.00
|
2
|
6.7
|
6.7
|
70.0
| |
90.00
|
1
|
3.3
|
3.3
|
73.3
| |
94.00
|
2
|
6.7
|
6.7
|
80.0
| |
95.00
|
3
|
10.0
|
10.0
|
90.0
| |
96.00
|
1
|
3.3
|
3.3
|
93.3
| |
97.00
|
2
|
6.7
|
6.7
|
100.0
| |
Total
|
30
|
100.0
|
100.0
| ||
Kompet
| |||||
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
| ||
Valid
|
60.00
|
1
|
3.3
|
3.3
|
3.3
|
61.00
|
2
|
6.7
|
6.7
|
10.0
| |
65.00
|
2
|
6.7
|
6.7
|
16.7
| |
66.00
|
2
|
6.7
|
6.7
|
23.3
| |
67.00
|
1
|
3.3
|
3.3
|
26.7
| |
68.00
|
6
|
20.0
|
20.0
|
46.7
| |
69.00
|
4
|
13.3
|
13.3
|
60.0
| |
70.00
|
2
|
6.7
|
6.7
|
66.7
| |
72.00
|
2
|
6.7
|
6.7
|
73.3
| |
73.00
|
4
|
13.3
|
13.3
|
86.7
| |
74.00
|
2
|
6.7
|
6.7
|
93.3
| |
75.00
|
2
|
6.7
|
6.7
|
100.0
| |
Total
|
30
|
100.0
|
100.0
| ||
C. Pengujian Persyaratan Analisis
1. Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
| ||||
IPK
|
MotKer
|
Kompet
| ||
N
|
30
|
30
|
30
| |
Normal Parametersa,,b
|
Mean
|
27.6000
|
85.4000
|
68.9667
|
Std. Deviation
|
4.05650
|
7.88539
|
4.04699
| |
Most Extreme Differences
|
Absolute
|
.132
|
.129
|
.139
|
Positive
|
.125
|
.086
|
.097
| |
Negative
|
-.132
|
-.129
|
-.139
| |
Kolmogorov-Smirnov Z
|
.725
|
.706
|
.761
| |
Asymp. Sig. (2-tailed)
|
.669
|
.701
|
.609
| |
a. Test distribution is Normal.
| ||||
b. Calculated from data.
| ||||
1. IPK
Tests of Normality
| ||||||
Kolmogorov-Smirnova
|
Shapiro-Wilk
| |||||
Statistic
|
df
|
Sig.
|
Statistic
|
df
|
Sig.
| |
IPK
|
.132
|
30
|
.190
|
.944
|
30
|
.119
|
a. Lilliefors Significance Correction
| ||||||
Karena sig. atau p lebih dari 0.1 maka kita simpulkan hipotesis nol gagal ditolak, Atau dengan kata lain data yang diuji memiliki distribusi normal.
2. Mot Kerja
Tests of Normality
| ||||||
Kolmogorov-Smirnova
|
Shapiro-Wilk
| |||||
Statistic
|
df
|
Sig.
|
Statistic
|
df
|
Sig.
| |
MotKer
|
.129
|
30
|
.200*
|
.947
|
30
|
.138
|
a. Lilliefors Significance Correction
| ||||||
*. This is a lower bound of the true significance.
Karena sig. atau p lebih dari 0.1 maka kita simpulkan variabel MotKer memiliki distribusi normal.
| ||||||
3. Kompet
Tests of Normality
| ||||||
Kolmogorov-Smirnova
|
Shapiro-Wilk
| |||||
Statistic
|
df
|
Sig.
|
Statistic
|
df
|
Sig.
| |
Kompet
|
.139
|
30
|
.144
|
.940
|
30
|
.093
|
a. Lilliefors Significance Correction
| ||||||
Karena sig. atau p lebih dari 0.1 maka kita simpulkan variabel KomPet memiliki distribusi normal pada uji K-S.
2. Uji Linieritas
ANOVAb
| ||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
1
|
Regression
|
362.954
|
2
|
181.477
|
43.744
|
.000a
|
Residual
|
112.012
|
27
|
4.149
| |||
Total
|
474.967
|
29
| ||||
a. Predictors: (Constant), MotKer, IPK
| ||||||
b. Dependent Variable: Kompet
| ||||||
Output Anova
(Uji F) pengujian menggunakan tingkat signifikansi 0,05. Dari Output diperoleh F hitung Sebesar 43,744 dan signifikansi sebesar 0,000a
F tabel = df1: (jumlah variabel – 1) =2
Df2 (n-k-1) atau (30-2-1)=27
Ftabel = -1,703
Coefficientsa
| ||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
40.176
|
4.794
|
8.381
|
.000
| |
IPK
|
.635
|
.210
|
.636
|
3.029
|
.005
| |
MotKer
|
.132
|
.108
|
.257
|
1.223
|
.232
| |
a. Dependent Variable: Kompet
| ||||||
Persamaan Linier Berganda yang didapat dari Uji Hitung
Y = a + b1X1 + b2X2
Y = 40,176 + 0,635X1 + 0,132X2
Untuk Uji Kebermaknaan maka terlebih dahulu dicari T Tabel
Dimana df = n-k-1 = 30 -2-1= 27
Maka T tabel = 2,052
Untuk IPK:
t hitung = 3,029
dimana thitung > t tabel (3,029>2,052)
maka dapat dikatakan bahwa IPK berpengaruh pada Kompetensi Kerja
Untuk Motivasi Kerja:
t hitung = 1,223
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