The document contains the results of a study examining the influence of learning motivation and interest in learning on academic achievement. It includes regression tables showing that: 1) Learning motivation and interest in learning together have a significant influence on academic achievement. 2) Learning motivation alone does not have a significant influence on academic achievement. 3) Interest in learning alone has a significant influence on academic achievement.

1. QUIZ FOR UTS (MID TERM TEST)
COMPUTER APPLICATION
LECTURER :TatanZaenalMutakin, M.Pd.
YUNUS : 20187479096
PROGRAM MAGISTER PENDIDIKAN BAHASA INGGRIS
UNIVERSITAS INDRAPRASTA PGRI
2020

2. 1. Out put datda dalam bentuk Microsoft Word
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 ,419a
,176 ,147 10,200
a. Predictors: (Constant), Minat Belajar, Motivasi Belajar
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 1266,124 2 633,062 6,084 ,004b
Residual 5930,726 57 104,048
Total 7196,850 59
a. Dependent Variable: Prestasi Belajar
b. Predictors: (Constant), Minat Belajar, Motivasi Belajar
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 10,359 24,836 ,417 ,678
Motivasi Belajar ,043 ,205 ,027 ,212 ,833
Minat Belajar ,690 ,211 ,411 3,274 ,002
a. Dependent Variable: Prestasi Belajar
2. Interpretasi Tabel Penelitian
Tiga tabel diatas merupakan tabel hasil uji hipotesis regresi linear berganda,
yang terdiri dari tabel model summary, tabel anova, dan tabel coefficients.
1. Hasil Penelitian (Menjawab rumusan masalah)
a. Terdapat pengaruh yang signifikan antara Motivasi Belajar dan Minat belajar
secara bersama-sama terhadap Prestasi Belajar. Hal ini dibuktikan dengan nilai
Sig.= 0,004 < 0,01 dan Fhitung= 6,084
b. Tidak terdapat pengaruh yang signifikan antara Motivasi Belajar terhadap
Prestasi Belajar. Hal ini dibuktikan dengan nilai Sig.= 0,833 > 0,01 dan thitung=
0,212

3. c. Terdapat pengaruh yang signifikan antara Minat belajar terhadap Prestasi
Belajar. Hal ini dibuktikan dengan nilai Sig.= 0,002 < 0,01 dan thitung= 3,274
2. Hubungan antara Motivasi Belajar dan Minat belajar secara bersama-sama terhadap
Prestasi Belajar adalah sedang. Hal ini dibuktikan dengan nilai korelasi (R) = 0,419
Kriteria:
0,000 – 0,199 = Sangat Lemah
0,200 – 0,399 = Lemah
0,400 – 0,599 = Sedang
0,600 – 0,799 = Kuat
0,800 – 1,000 = Sangat Kuat
3. Kontribusi Motivasi Belajar dan Minat belajar secara bersama-sama terhadap Prestasi
Belajar sebesar 0,176 x 100 % = 17.6%(nilai Rsquare x 100%)
4. Persamaan garis regresi ganda:
Y = 10,359 + 0,043 X1 + 0,690 X2
Adapun untuk kontribusi parsial, maka akan dilakukan pengujian tambahan sbb:
Copy table coefiicients
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
Correlations
B Std. Error Beta
Zero-
order Partial Part
1 (Constant) 10,359 24,836 ,417 ,678
Motivasi
Belajar
,043 ,205 ,027 ,212 ,833 ,145 ,028 ,026
Minat
Belajar
,690 ,211 ,411 3,274 ,002 ,419 ,398 ,394
a. Dependent Variable: Prestasi Belajar
Penjelasan:
1. Kontribusi parsial X1 terhadap Y adalah nilai Beta x nilai Zero-order (nilai korelasinya) x
100%, yaitu:
0,027 x 0,145 x 100% = 0.39%
2. Kontribusi parsial X2 terhadap Y adalah nilai Beta x nilai Zero-order (nilai kolerasinya) x
100%, yaitu:
0,411 x 0,419 x 100%= 17,22%

4. 3. Kontribusi ganda adalah penjumlahan dari kontribusi parsial X1 dan X2, yaitu:
0.39 + 17,22 = 17,61 % (nilai Rsquare x 100%)
LAMPIRAN:
OUTPUT PENGOLAHAN DATA SYNTAX
UJI HIPOTESIS
Error # 1. Command name: UJI
The first word in the line is not recognized as an SPSS Statistics command.
Execution of this command stops.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN (.05) POUT (.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X1 X2.
Regression
Notes
Output Created 01-JUN-2020 20:50:24
Comments
Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 60
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on cases with no
missing values for any variable used.

5. Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN (.05) POUT (.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X1 X2.
Resources Processor Time 00:00:00,05
Elapsed Time 00:00:00,05
Memory Required 1652 bytes
Additional Memory Required for
Residual Plots
0 bytes
Variables Entered/Removeda
Model Variables Entered
Variables
Removed Method
1 Minat Belajar,
Motivasi Belajarb
. Enter
a. Dependent Variable: Prestasi Belajar
b. All requested variables entered.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 ,419a
,176 ,147 10,200
a. Predictors: (Constant), Minat Belajar, Motivasi Belajar
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 1266,124 2 633,062 6,084 ,004b
Residual 5930,726 57 104,048
Total 7196,850 59
a. Dependent Variable: Prestasi Belajar
b. Predictors: (Constant), Minat Belajar, Motivasi Belajar

6. Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 10,359 24,836 ,417 ,678
Motivasi Belajar ,043 ,205 ,027 ,212 ,833
Minat Belajar ,690 ,211 ,411 3,274 ,002
a. Dependent Variable: Prestasi Belajar
DESKRIPSI DATA
Error # 1. Command name: DESKRIPSI
The first word in the line is not recognized as an SPSS Statistics command.
Execution of this command stops.
FREQUENCIES VARIABLES=Y
/STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE
/HISTOGRAM NONORMAL
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created 01-JUN-2020 20:50:24
Comments
Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 60
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data.

7. Syntax FREQUENCIES VARIABLES=Y
/STATISTICS=STDDEV MINIMUM
MAXIMUM MEAN MEDIAN MODE
/HISTOGRAM NONORMAL
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,70
Elapsed Time 00:00:00,59
Statistics
Prestasi Belajar
N Valid 60
Missing 0
Mean 85,05
Median 90,00
Mode 90
Std. Deviation 11,044
Minimum 60
Maximum 99
Prestasi Belajar
Frequency Percent Valid Percent
Cumulative
Percent
Valid 60 3 5,0 5,0 5,0
69 1 1,7 1,7 6,7
70 8 13,3 13,3 20,0
75 1 1,7 1,7 21,7
79 10 16,7 16,7 38,3
90 26 43,3 43,3 81,7
99 11 18,3 18,3 100,0
Total 60 100,0 100,0

8. FREQUENCIES VARIABLES=X1
/STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE
/HISTOGRAM NONORMAL
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created 01-JUN-2020 20:50:25
Comments

9. Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 60
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data.
Syntax FREQUENCIES VARIABLES=X1
/STATISTICS=STDDEV MINIMUM
MAXIMUM MEAN MEDIAN MODE
/HISTOGRAM NONORMAL
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,62
Elapsed Time 00:00:00,64
Statistics
Motivasi Belajar
N Valid 60
Missing 0
Mean 97,70
Median 97,00
Mode 99
Std. Deviation 6,778
Minimum 77
Maximum 111
Motivasi Belajar
Frequency Percent Valid Percent
Cumulative
Percent
Valid 77 2 3,3 3,3 3,3
90 5 8,3 8,3 11,7
91 5 8,3 8,3 20,0
94 1 1,7 1,7 21,7
95 5 8,3 8,3 30,0

10. 96 10 16,7 16,7 46,7
97 4 6,7 6,7 53,3
99 11 18,3 18,3 71,7
100 1 1,7 1,7 73,3
104 8 13,3 13,3 86,7
106 3 5,0 5,0 91,7
107 2 3,3 3,3 95,0
111 3 5,0 5,0 100,0
Total 60 100,0 100,0
FREQUENCIES VARIABLES=X2
/STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE
/HISTOGRAM NONORMAL
/ORDER=ANALYSIS.

11. Frequencies
Notes
Output Created 01-JUN-2020 20:50:25
Comments
Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 60
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data.
Syntax FREQUENCIES VARIABLES=X2
/STATISTICS=STDDEV MINIMUM
MAXIMUM MEAN MEDIAN MODE
/HISTOGRAM NONORMAL
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,69
Elapsed Time 00:00:00,50
Statistics
Minat Belajar
N Valid 60
Missing 0
Mean 102,10
Median 97,00
Mode 97
Std. Deviation 6,579
Minimum 96
Maximum 116

12. Minat Belajar
Frequency Percent Valid Percent
Cumulative
Percent
Valid 96 14 23,3 23,3 23,3
97 18 30,0 30,0 53,3
106 14 23,3 23,3 76,7
107 8 13,3 13,3 90,0
116 6 10,0 10,0 100,0
Total 60 100,0 100,0
UJI NORMALITAS DATA
Error # 1. Command name: UJI
The first word in the line is not recognized as an SPSS Statistics command.
Execution of this command stops.

13. NPAR TESTS
/K-S (NORMAL)= X1 X2 Y
/MISSING ANALYSIS.
NPar Tests
Notes
Output Created 01-JUN-2020 20:50:26
Comments
Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 60
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each test are based on all
cases with valid data for the variable(s) used
in that test.
Syntax NPAR TESTS
/K-S (NORMAL)= X1 X2 Y
/MISSING ANALYSIS.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,01
Number of Cases Alloweda
262144
a. Based on availability of workspace memory.
One-Sample Kolmogorov-Smirnov Test
Motivasi Belajar Minat Belajar Prestasi Belajar
N 60 60 60
Normal Parametersa,b
Mean 97,70 102,10 85,05
Std. Deviation 6,778 6,579 11,044
Most Extreme Differences Absolute ,141 ,314 ,290

14. Positive ,141 ,314 ,144
Negative -,129 -,190 -,290
Test Statistic ,141 ,314 ,290
Asymp. Sig. (2-tailed) ,005c
,000c
,000c
a. Test distribution is Normal.
b. Calculated from data.
c. Lilliefors Significance Correction.
UJI LINEARITAS
Error # 1. Command name: UJI
The first word in the line is not recognized as an SPSS Statistics command.
Execution of this command stops.
MEANS TABLES=Y BY X1 X2
/CELLS MEAN COUNT STDDEV
/STATISTICS LINEARITY.
Means
Notes
Output Created 01-JUN-2020 20:50:26
Comments
Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 60
Missing Value Handling Definition of Missing For each dependent variable in a table,
user-defined missing values for the
dependent and all grouping variables are
treated as missing.

15. Cases Used Cases used for each table have no missing
values in any independent variable, and not
all dependent variables have missing
values.
Syntax MEANS TABLES=Y BY X1 X2
/CELLS MEAN COUNT STDDEV
/STATISTICS LINEARITY.
Resources Processor Time 00:00:00,05
Elapsed Time 00:00:00,06
Case Processing Summary
Cases
Included Excluded Total
N Percent N Percent N Percent
Prestasi Belajar * Motivasi
Belajar
60 100,0% 0 0,0% 60 100,0%
Prestasi Belajar * Minat Belajar 60 100,0% 0 0,0% 60 100,0%
Prestasi Belajar * Motivasi Belajar
Report
Prestasi Belajar
Motivasi Belajar Mean N Std. Deviation
77 90,00 2 ,000
90 82,60 5 11,760
91 87,80 5 10,686
94 90,00 1 .
95 83,80 5 9,066
96 78,70 10 11,086
97 84,50 4 6,351
99 82,36 11 15,240
100 79,00 1 .
104 88,38 8 9,724
106 96,00 3 5,196
107 94,50 2 6,364
111 89,33 3 10,017

16. Total 85,05 60 11,044
ANOVA Table
Sum of Squares df Mea
Prestasi Belajar * Motivasi
Belajar
Between Groups (Combined) 1351,363 12
Linearity 151,063 1
Deviation from Linearity 1200,300 11
Within Groups 5845,487 47
Total 7196,850 59
Measures of Association
R R Squared Eta Eta Squared
Prestasi Belajar * Motivasi
Belajar
,145 ,021 ,433 ,188
Prestasi Belajar * Minat Belajar
Report
Prestasi Belajar
Minat Belajar Mean N Std. Deviation
96 80,79 14 13,979
97 81,39 18 9,793
106 87,29 14 9,051
107 89,75 8 8,956
116 94,50 6 4,930
Total 85,05 60 11,044
ANOVA Table
Sum of Squares df Mea
Prestasi Belajar * Minat Belajar Between Groups (Combined) 1278,358 4
Linearity 1261,435 1

17. Deviation from Linearity 16,923 3
Within Groups 5918,492 55
Total 7196,850 59
Measures of Association
R R Squared Eta Eta Squared
Prestasi Belajar * Minat Belajar ,419 ,175 ,421 ,178
UJI MULTIKOLENIARITAS DAN HETEROSKEDASTSITAS
Error # 1. Command name: UJI
The first word in the line is not recognized as an SPSS Statistics command.
Execution of this command stops.
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
/CRITERIA=PIN (.05) POUT (.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X1 X2
/SCATTERPLOT= ( *ZRESID, *ZPRED))
/RESIDUALS HISTOGRAM (ZRESID) NORMPROB (ZRESID)
/SAVE RESID.
Regression
Notes
Output Created 01-JUN-2020 20:50:26
Comments
Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>

18. N of Rows in Working Data File 60
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on cases with no
missing values for any variable used.
Syntax REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR
SIG N
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
COLLIN TOL CHANGE ZPP
/CRITERIA=PIN (.05) POUT (.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X1 X2
/SCATTERPLOT= ( *ZRESID, *ZPRED))
/RESIDUALS HISTOGRAM (ZRESID)
NORMPROB (ZRESID)
/SAVE RESID.
Resources Processor Time 00:00:00,00
Elapsed Time 00:00:00,01
Warnings
Missing left parenthesis on REGRESSION SCATTERPLOT command--A left parenthesis '(' is
expected in the SCATTERPLOT subcommand but is not found. You must specify the variables to be
plotted in parentheses. For example, '/SCAT (*RESID,INCOME)' produces a scatterplot of the
residual with the variable INCOME Text found: ).
Execution of this command stops.
*WARNING* REGRESSION syntax scan continues. Further diagnostics from this command may be
misleading - interpret with care.
UJI NORMALITAS GALAT
Error # 1. Command name: UJI
The first word in the line is not recognized as an SPSS Statistics command.
Execution of this command stops.
NPAR TESTS
/K-S (NORMAL) =RES 1
/MISSING ANALYSIS.

19. NPar Tests
Notes
Output Created 01-JUN-2020 20:50:26
Comments
Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each test are based on all
cases with valid data for the variable(s) used
in that test.
Syntax NPAR TESTS
/K-S (NORMAL) =RES 1
/MISSING ANALYSIS.
Resources Processor Time 00:00:00,00
Elapsed Time 00:00:00,01
Warnings
Text: RES Command: NPAR TESTS
An undefined variable name, or a scratch or system variable was specified in a variable list which
accepts only standard variables. Check spelling and verify the existence of this variable.
Execution of this command stops.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X1 X2.

20. Regression
Notes
Output Created 01-JUN-2020 21:34:30
Comments
Input Data D:UNINDRA PGRI JAKARTA 2019SMT
3SMT 3COMPUTER APPLICATIONtugas
utsFILE EXCEL TUGAS UTS_YUNUS.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 60
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on cases with no
missing values for any variable used.
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X1 X2.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
Memory Required 1652 bytes
Additional Memory Required for
Residual Plots
0 bytes
Variables Entered/Removeda
Model Variables Entered
Variables
Removed Method
1 Minat Belajar,
Motivasi Belajarb
. Enter

21. a. Dependent Variable: Prestasi Belajar
b. All requested variables entered.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 ,419a
,176 ,147 10,200
a. Predictors: (Constant), Minat Belajar, Motivasi Belajar
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 1266,124 2 633,062 6,084 ,004b
Residual 5930,726 57 104,048
Total 7196,850 59
a. Dependent Variable: Prestasi Belajar
b. Predictors: (Constant), Minat Belajar, Motivasi Belajar
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
Correlations
B Std. Error Beta Zero-order Partial Part
1 (Constant) 10,359 24,836 ,417 ,678
Motivasi
Belajar
,043 ,205 ,027 ,212 ,833 ,145 ,028 ,026
Minat Belajar ,690 ,211 ,411 3,274 ,002 ,419 ,398 ,394
a. Dependent Variable: Prestasi Belajar