KUESIONER
PENGARUH TAYANGAN DRAMA KOREA TERHADAP MINAT
BELAJAR BAHASA KOREA PADA MAHASISWA UNIVERSITAS 17
AGUSTUS 1945 SURABAYA
Keterangan Petunjuk Pengisisan Kuesioner I
1. Berilah tanda centang () pada bagian kolom sesuai pilihan anda.
2. Setiap pertanyaan dalam kolom hanya dipilih satu jawaban.
3. Seluruh pertanyaan dalam kuesioner harus dijawab.
4. Terdapat beberapa alternative jawaban yang telah disediakan oleh peneliti :
a. Sangat Setuju (SS)
b. Setuju (S)
c. Ragu-ragu (RG)
d. Tidak Setuju (TS)
e. Sangat Tidak Setuju (STS)
a) Data Responden
1. Usia Responden
(…..) 16-21 (…..) 22- 27
2. Jenis Kelamin
(….) Laki-Laki (….) Perempuan
b) Data Peneliti
A. Tayangan Drama Korea
No Pertanyaan Pilihan Jawaban
SS S RG TS STS
Variabel Lingkungan
1. Saya mengetahui drama Korea karena rekomendasi
teman saya yang menyukai drama Korea.
Kognitif
2. Tayangan drama Korea membantu saya belajar bahasa
sehari-hari yang digunakan masyarakat Korea.
3. Tayangan drama Korea dapat menjadi sumber refrensi
saya untuk belajar bahasa Korea.
4.
Melalui tayangan drama Korea saya jadi bisa saling
bertukar informasi mengenai pencucapan bahasa
Korea.
Personal Diversi
5. Saya menyukai tayangan drama Korea yang saya
tonton
6. Tayangan drama Korea menjadi hiburan saya untuk
melepas penat.
Identitas Sosial
7. Tayangan drama Korea sudah sesuai bagi saya
pecinta drama Korea.
8. Tayangan drama Korea menjadi alternatif saya untuk
mempelajari bahasa Korea
9. Tayangan drama Korea menjadi hiburan utama untuk
memenuhi kepuasana pribadi.
B. Minat Belajar Bahasa Korea
No Pertanyaan Jawaban Responden
SS S RG TS STS
Karakteristik
10. Saya menyukai drama Korea karena aktor dan
aktrisnya memiliki wajah yang rupawan.
11. Saya menyukai drama Korea karena mempunyai
berbagi macam genre.
12. Saya menyukai drama Korea karena sountrack yang
diputar sesuai dengan alur cerita.
Isi
13. Saya merasa bahwa alur cerita dalam drama Korea
jelas dan mudah dipahami.
14. Saya menyukai bahasa yang digunakan dalam drama
Korea karena berbeda dengan bahasa lain.
15. Saya mengetahui nama aktris dan aktor dalam
tayangan drama Korea.
16. Tayangan drama Korea dapat meningkatkan imajinasi
saya.
Hubungan
17. Saya menonton drama Korea karena aktris dan aktor
yang saya kagumi bermain dalam drama tersebut.
Sikap
18. Tayangan drama Korea membuat saya berkeinginan
belajar bahasa Korea.
Perilaku
19. Saya sangat menyukai bahasa yang digunakan dalam
drama Korea.
20. Tayangan drama Korea membuat saya ingin
mengikuti kursus bahasa Korea.
21. Saya suka meniru gaya berbicara aktor dan aktri
dalam tayangan drama Korea
No X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 TOTAL
1 4 3 3 3 5 5 5 3 5 36
2 4 5 5 5 5 5 5 5 5 44
3 4 4 4 4 4 5 4 4 5 38
4 4 5 5 5 5 5 5 5 5 44
5 1 5 5 5 5 5 5 5 2 38
6 4 4 4 5 5 5 4 5 4 40
7 4 5 5 4 4 4 4 4 4 38
8 2 5 5 5 4 4 4 5 3 37
9 3 4 5 5 5 5 5 5 4 41
10 2 5 5 5 5 3 3 5 2 35
11 4 5 5 5 5 5 5 5 5 44
12 4 4 4 4 4 4 4 4 4 36
13 2 4 4 3 5 4 3 4 4 33
14 5 5 5 5 5 5 4 4 2 40
15 1 5 5 5 5 5 5 5 5 41
16 1 5 5 5 5 5 5 4 3 38
17 3 4 4 4 4 3 4 4 4 34
18 4 4 5 5 4 5 5 5 4 41
19 4 5 5 5 5 5 5 5 5 44
20 4 5 4 4 3 4 4 5 5 38
21 5 4 5 5 5 5 5 5 5 44
22 5 4 5 5 5 5 5 5 5 44
23 3 4 5 5 5 5 5 5 4 41
24 2 2 4 4 3 2 2 2 2 23
25 5 4 4 4 4 4 4 4 4 37
26 2 4 5 5 3 5 3 5 5 37
27 5 5 5 5 5 5 5 5 5 45
28 5 5 5 5 5 5 5 4 4 43
29 5 5 5 4 4 4 5 5 4 41
30 2 4 3 4 2 5 4 3 4 31
31 4 5 5 5 5 5 5 5 4 43
32 5 4 4 4 4 5 4 4 4 38
33 5 5 5 5 5 4 4 5 3 41
34 5 4 4 4 5 4 4 2 4 36
35 4 4 4 4 4 5 3 5 2 35
36 2 5 5 5 5 5 5 5 4 41
37 5 5 4 4 5 5 5 4 4 41
38 3 3 4 3 5 5 4 4 5 36
39 5 4 4 4 4 4 4 5 4 38
40 4 5 5 5 5 5 4 5 5 43
41 2 2 4 4 4 4 2 4 2 28
42 2 5 5 5 4 4 5 5 5 40
43 4 3 4 4 5 5 4 3 5 37
44 4 4 4 4 4 3 3 2 1 29
45 5 5 5 5 3 3 3 5 5 39
46 4 4 4 4 3 3 2 4 3 31
47 4 4 4 4 4 4 4 4 4 36
48 1 5 5 4 4 4 3 4 3 33
49 4 4 4 4 5 5 5 4 5 40
50 4 4 4 4 4 4 4 4 4 36
51 4 3 4 4 4 5 4 4 4 36
52 4 4 3 4 5 5 5 3 4 37
53 4 3 3 3 4 3 3 3 3 29
54 5 5 4 5 4 4 4 4 4 39
55 4 4 4 4 4 4 4 4 4 36
56 5 5 5 5 5 5 4 5 4 43
57 4 4 4 4 4 4 4 4 4 36
58 2 5 4 2 2 5 4 4 5 33
59 4 4 4 4 4 2 4 4 4 34
60 4 4 3 3 4 4 3 3 4 32
61 4 4 4 4 4 4 4 4 4 36
62 4 4 4 4 3 4 3 4 4 34
63 1 4 4 3 4 4 3 3 4 30
64 4 4 4 4 4 4 4 4 3 35
65 4 3 3 3 3 4 3 3 3 29
66 4 4 4 4 4 4 4 4 3 35
67 4 4 4 4 4 4 4 4 4 36
68 4 4 5 4 4 5 4 5 4 39
69 4 4 4 4 4 4 4 4 4 36
70 4 4 4 4 4 4 4 4 4 36
71 5 4 5 5 5 5 4 4 5 42
72 4 4 3 4 4 4 4 3 2 32
73 5 5 4 3 5 5 5 4 4 40
74 4 4 4 3 5 5 5 4 4 38
75 4 4 4 4 4 4 4 4 4 36
76 4 4 4 4 4 5 4 4 4 37
77 2 2 1 3 4 3 2 3 2 22
78 4 5 5 5 3 5 5 4 5 41
79 2 5 5 5 5 5 5 5 5 42
80 2 4 4 3 4 5 5 4 4 35
81 4 4 4 4 5 5 4 4 5 39
82 3 3 4 3 5 4 4 3 4 33
83 4 3 3 3 3 3 4 3 3 29
84 4 4 4 4 5 4 5 3 4 37
85 4 3 3 3 4 4 4 3 4 32
86 4 3 2 2 4 4 3 2 4 28
87 5 5 5 5 5 5 5 5 5 45
88 2 4 4 4 4 4 4 4 4 34
89 4 4 4 4 4 4 4 4 4 36
90 2 4 4 4 4 4 4 4 4 34
91 4 4 4 4 5 5 5 5 5 41
92 4 5 5 5 5 5 5 5 5 44
93 4 4 4 4 4 4 4 4 4 36
94 4 4 4 4 4 4 4 4 4 36
95 4 4 4 4 4 4 4 4 4 36
96 4 5 5 5 5 5 4 4 2 39
97 4 4 4 4 4 4 4 3 4 35
98 4 5 5 5 5 5 5 5 5 44
99 4 4 4 4 4 4 4 3 4 35
100 4 4 4 4 4 4 4 4 3 35
No Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12 TOTAL
1 5 5 5 5 4 5 5 5 5 5 5 4 58
2 5 4 4 4 4 4 4 5 5 5 4 3 51
3 5 4 5 4 4 3 5 4 5 4 3 4 50
4 4 5 4 5 4 4 4 5 5 5 5 5 55
5 2 5 5 5 5 5 5 5 5 5 5 5 57
6 5 5 5 5 4 4 4 5 4 4 3 4 52
7 3 5 4 4 4 4 4 5 5 4 5 6 53
8 2 5 5 4 5 4 4 4 4 5 5 3 50
9 5 5 4 4 4 5 4 4 4 4 4 5 52
10 5 4 5 5 3 4 4 5 5 5 3 3 51
11 5 5 4 4 4 4 5 4 4 4 3 4 50
12 4 4 4 3 3 3 4 5 3 3 3 3 42
13 2 5 3 3 3 4 2 5 3 4 3 2 39
14 5 4 5 5 5 5 5 5 5 5 4 4 57
15 5 5 5 5 5 5 5 5 5 5 5 5 60
16 5 5 4 4 5 4 5 3 5 5 5 4 54
17 2 4 2 4 4 4 3 2 2 3 4 4 38
18 4 5 3 3 1 2 5 5 5 5 5 4 47
19 5 5 5 5 5 5 5 5 5 5 5 5 60
20 3 4 5 3 3 3 4 4 4 3 4 4 44
21 5 5 5 5 5 5 4 5 5 4 3 4 55
22 5 5 5 5 5 5 5 5 5 5 4 5 59
23 4 5 3 3 4 3 4 4 5 4 3 3 45
24 4 4 3 3 3 2 2 4 2 4 2 2 35
25 4 4 3 4 4 4 4 4 4 4 3 4 46
26 3 5 4 4 5 5 3 4 5 4 5 3 50
27 5 5 5 5 5 5 5 5 5 5 4 5 59
28 5 5 5 5 5 5 5 5 4 5 3 5 57
29 3 5 4 2 4 4 5 4 5 3 2 2 43
30 5 4 4 3 3 3 4 5 3 4 3 3 44
31 4 4 4 4 4 4 4 4 4 4 5 4 49
32 4 4 4 4 4 4 4 4 3 3 2 4 44
33 5 4 4 4 4 4 4 5 5 3 3 5 50
34 4 3 3 4 4 2 4 2 4 4 2 2 38
35 4 5 3 5 2 2 2 2 4 3 3 4 39
36 5 5 4 3 4 4 3 3 4 4 4 4 47
37 4 4 4 4 4 4 4 4 4 4 4 4 48
38 4 5 4 4 2 4 5 5 3 2 2 3 43
39 5 5 5 4 5 3 5 5 4 5 5 3 54
40 5 5 4 5 5 5 5 5 5 5 5 4 58
41 4 5 4 2 4 2 4 5 5 5 5 4 49
42 4 5 4 4 4 5 5 4 4 4 3 5 51
43 5 4 5 3 4 4 4 4 4 4 3 3 47
44 2 2 2 4 2 3 4 3 2 2 2 4 32
45 5 4 5 4 4 3 5 4 3 5 2 4 48
46 4 4 5 3 4 2 4 3 3 4 2 4 42
47 4 5 3 3 4 4 4 4 4 4 4 4 47
48 2 5 4 4 4 3 4 3 4 5 5 2 45
49 5 5 5 4 4 4 4 5 4 4 3 4 51
50 4 4 4 4 4 4 4 4 4 4 4 4 48
51 4 4 4 4 4 2 4 4 4 4 3 4 45
52 5 5 4 5 3 5 5 4 3 4 3 3 49
53 4 3 4 4 3 2 2 2 3 3 3 2 35
54 2 4 4 5 4 4 4 4 4 4 2 4 45
55 5 4 4 4 4 4 4 5 4 4 4 2 48
56 4 5 5 4 4 3 4 5 4 4 4 5 51
57 4 2 2 4 2 2 2 4 2 2 2 2 30
58 5 2 2 2 2 4 2 4 5 4 5 2 39
59 4 4 4 2 3 2 4 5 3 3 3 2 39
60 4 4 4 2 3 2 4 5 3 3 3 4 41
61 4 4 4 3 4 3 4 4 4 4 3 4 45
62 4 4 4 3 4 4 4 4 4 4 3 4 46
63 2 4 4 3 4 3 4 3 4 4 1 3 39
64 4 3 4 4 4 4 4 4 4 4 3 3 45
65 4 3 3 4 3 2 3 2 3 3 3 2 35
66 4 4 4 4 4 3 3 4 4 4 3 3 44
67 4 4 4 4 4 4 4 4 4 4 4 4 48
68 4 4 5 4 4 4 5 4 5 4 3 4 50
69 4 4 4 4 4 4 4 4 4 4 4 4 48
70 4 4 4 4 4 4 4 4 4 4 4 4 48
71 5 4 5 4 4 2 3 2 5 5 5 4 48
72 2 4 5 4 2 3 2 2 4 3 3 3 37
73 4 5 5 3 4 4 5 4 3 5 2 2 46
74 4 4 4 4 4 3 4 4 5 4 4 4 48
75 4 4 4 4 4 4 4 4 4 4 4 4 48
76 5 5 5 4 4 4 4 4 4 4 3 3 49
77 5 3 2 4 3 3 2 2 1 1 2 5 33
78 4 3 5 4 3 2 3 3 3 3 2 4 39
79 5 2 5 2 2 5 5 5 4 5 5 2 47
80 5 5 5 5 4 4 4 5 5 4 4 4 54
81 5 5 4 4 4 3 4 4 4 4 4 4 49
82 4 4 4 4 4 3 3 4 3 4 2 3 42
83 4 3 3 4 3 4 3 4 3 3 3 3 40
84 4 5 5 4 3 4 4 5 4 4 3 3 48
85 4 4 4 4 3 3 4 3 2 3 2 2 38
86 3 4 4 3 3 2 3 2 2 3 2 2 33
87 5 5 5 2 5 4 4 4 3 3 3 3 46
88 4 4 4 4 4 4 4 5 5 5 5 5 53
89 4 4 4 4 4 4 4 4 4 4 3 4 47
90 4 4 4 4 4 4 4 4 4 4 3 4 47
91 4 4 4 5 5 4 4 4 4 4 3 4 49
92 5 5 5 3 5 4 4 4 4 5 5 2 51
93 4 4 4 4 4 4 4 5 5 5 5 5 53
94 4 4 4 4 4 4 4 4 4 4 4 4 48
95 4 4 4 3 4 4 4 5 4 4 5 4 49
96 5 4 4 3 4 2 4 5 4 4 5 4 48
97 4 5 3 3 4 3 3 3 3 4 2 5 42
98 5 5 5 5 5 5 4 4 4 4 3 4 53
99 4 4 3 4 3 4 5 5 5 5 5 5 52
100 2 2 5 2 5 4 4 4 2 4 4 4 42
FREQUENCIES VARIABLES=X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 Y.1
Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12
/HISTOGRAM NORMAL
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created 09-JUL-2019 15:01:32 Comments Input Data C:\Users\user\Desktop\dim\Data
tabuliasi responden.sav
Active Dataset DataSet0
Filter
Weight
Split File
N of Rows in Working Data File
100
Matrix Input 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=X.1 X.2
X.3 X.4 X.5 X.6 X.7 X.8 X.9 Y.1 Y.2
Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11
Y.12
/HISTOGRAM NORMAL /ORDER=ANALYSIS.
Resources Processor Time 00:00:11.53
Elapsed Time 00:00:18.92
[DataSet0] C:\Users\user\Desktop\dim\Data tabuliasi
responden.sav
Statistics
X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9
N Valid 100 100 100 100 100 100 100 100 100
Missing 0 0 0 0 0 0 0 0 0
Statistics
Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12
N Valid 100 100 100 100 100 100 100 100 100 100 100 100
Missing 0 0 0 0 0 0 0 0 0 0 0 0
Frequency Table
CORRELATION
/VARIABLES=X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 Total_X
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created 09-JUL-2019 15:01:32 Comments Input Active Dataset DataSet0
Filter
Weight
Split File
N of Rows in Working Data File
100
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics for each pair of variables
are based on all the cases with valid
data for that pair.
Syntax
CORRELATIONS /VARIABLES=X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 Total_X /PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE. Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.11
Correlations
X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 Total_X X.1 Pearson
Correlation 1 .082 .001 .090 .143 .080 .185 .022 .197 .593**
Sig. (2-tailed) .416 .966 .375 .157 .428 .065 .831 .050 .000 N 100 100 100 100 100 100 100 100 100 100 X.2 Pearson
Correlation .082 1 .708** .539
** .259** .370** .522** .613** .257** .721**
Sig. (2-tailed) .416 .000 .000 .009 .000 .000 .000 .010 .000 N 100 100 100 100 100 100 100 100 100 100 X.3 Pearson
Correlation .001 .708
** 1 .778
** .365* .391** .454** .719** .258** .758**
Sig. (2-tailed) .996 .000 .000 .000 .000 .000 .000 .000 .000 N 100 100 100 100 100 100 100 100 100 100 X.4 Pearson
Correlation .090 .593
** .778
** 1 .377
** .315
** .393
** .658
** .132 .706
**
Sig. (2-tailed) .375 .000 .000 .000 .001 .000 .000 .189 .000 N 100 100 100 100 100 100 100 100 100 100 X.5 Pearson
Correlation .143 .259
** .365
** .377
** 1 .460
** 528
** .290
** .161 .585
**
Sig. (2-tailed) .157 .009 .000 .000 .000 .000 .003 .109 .000 N 100 100 100 100 100 100 100 100 100 100 X.6 Pearson
Correlation .080 .370
** 391
** .315
** .460
** 1 638
** 435
** .459
** .685
**
Sig. (2-tailed) .428 .000 .000 .001 .000 .000 .000 .000 .000 N 100 100 100 100 100 100 100 100 100 100 X.7 Pearson
Correlation .185 .522
** .454
** .393
** .528
** .638
** 1 .436
** .520
** .782
**
Sig. (2-tailed) .065 .000 .000 .000 .000 .000 .000 .000 .000 N 100 100 100 100 100 100 100 100 100 100 X.8 Pearson
Correlation .022 .613
** .719
** .658
** .290
** .435
** .436
** 1 .349
** .744
**
Sig. (2-tailed) .831 .000 .000 .000 .003 .000 .000 .000 .000 N 100 100 100 100 100 100 100 100 100 100 X.9 Pearson
Correlation .197 .257
** .258
** .132 .161 .459
** .520
** .349
** 1 .587
**
Sig. (2-tailed) .050 .010 .010 .189 .109 .000 .000 .000 .000 N 100 100 100 100 100 100 100 100 100 100 Total_X
Pearson Correlation
.369** .721
** .758
** .706
** .585
** .685
** .782
** .744
** .587
** 1
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 N 100 100 100 100 100 100 100 100 100 100
**. Correlation is significant at the 0.01 level (2-tailed).
CORRELATIONS
/VARIABLES=Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12
Total_Y
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created 10-JUL-2019 02:29:24 Comments Input Active Dataset DataSet0
Filter
Weight
Split File
N of Rows in Working Data File
100
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics for each pair of variables
are based on all the cases with valid
data for that pair.
Syntax
CORRELATIONS /VARIABLES=Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12 Total_Y /PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE. Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.28
[DataSet1]
Correlations
Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y. Y.10
Y.1 Pearson Correlation 1 .161 .249
* .175 .159 .180 .254
* .300
** .253
* .224
*
Sig. (2-tailed) .109 .012 .082 .115 .074 .011 .002 .011 .025 N
100 100 100 100 100 100 100 100 100 100
Y.2 Pearson Correlation .161 1 .371
** .262
** .425
** .321
** .374
** .309
** .408
** .396
**
Sig. (2-tailed) .109 .000 .008 .000 .001 .000 .002 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.3 Pearson Correlation .249
* .371
** 1 .195 .477
** .308
** .485
** .336
** .351
** .454
**
Sig. (2-tailed) .012 .000 .052 .000 .002 .000 .001 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.4 Pearson Correlation .175 .262
** .195 1 .291
** .401
** .184 .075 .291
** .212
*
Sig. (2-tailed) .082 .008 .052 .003 .000 .067 .459 .003 .034
N 100 100 100 100 100 100 100 100 100 100
Y.5 Pearson Correlation .159 .425
** .477
** .291
** 1 .485
** .402
** .207
* .365
** .493
**
Sig. (2-tailed) .115 .000 .000 .003 .000 .000 .039 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.6 Pearson Correlation .180 .321
** .308
** .401
** .485
** 1 .470
** .446
** .397
** .375
**
Sig. (2-tailed) .074 .001 .002 .000 .000 .000 .000 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.7 Pearson Correlation .254
* .374
** .485
** .184 .402
** .470
** 1 .528
** .441
** .508
**
Sig. (2-tailed) .011 .000 .000 .067 .000 .000 .000 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.8 Pearson Correlation .300
** .309
** .336
** .075 .207
* .446
** .528
** 1 .446
** .433
**
Sig. (2-tailed) .002 .002 .001 .459 .039 .000 .000 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.9 Pearson Correlation .253
* .408
** .351
** .291
** .365
** .397
** .441
** .446
** 1 .656
**
Sig. (2-tailed) .011 .000 .000 .003 .000 .000 .000 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.10 Pearson Correlation .224
* .396
** .454
** .212
* .493
** .375
** .508
** .433
** .656
** 1
Sig. (2-tailed) .025 .000 .000 .034 .000 .000 .000 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.11 Pearson Correlation .224
* .396
** .454
** .212
* .493
** .375
** .508
** .433
** .656
** 1
Sig. (2-tailed) .025 .000 .000 .034 .000 .000 .000 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Y.12 Pearson Correlation .125 .279
** .140 .393
** .351
** .321
** .316
** .256
* .352
** .208
*
Sig. (2-tailed) .215 .005 .165 .000 .000 .001 .001 .010 .000 .038
N 100 100 100 100 100 100 100 100 100 100
Total_Y
Pearson Correlation .432
** .597
** .591
** .475
** .655
** .681
** .692
** .639
** .755
** .744
**
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .000
N 100 100 100 100 100 100 100 100 100 100
Correlations
Y.11 Y.12 Total_Y
Y.1 Pearson Correlation .130 .125 .432
**
Sig. (2-tailed) .196 .215 .000
N 100 100 100
Y.2 Pearson Correlation .224
* .279
** .597
**
Sig. (2-tailed) .025 .005 .000
N 100 100 100
Y.3 Pearson Correlation .158 .140 .591
**
Sig. (2-tailed) .117 .165 .000
N 100 100 100
Y.4 Pearson Correlation .087 .393
** .475
**
Sig. (2-tailed) .387 .000 .000
N 100 100 100
Y.5 Pearson Correlation .277
** .351
** .655
**
Sig. (2-tailed) .005 .000 .000
N 100 100 100
Y.6 Pearson Correlation .326
** .321
** .681
**
Sig. (2-tailed) .001 .001 .000
N 100 100 100
Y.7 Pearson Correlation .244
* .316
** .692
**
Sig. (2-tailed) .014 .001 .000
N 100 100 100
Y.8 Pearson Correlation .372
** .256
* .639
**
Sig. (2-tailed) .000 .010 .000
N 100 100 100
Y.9 Pearson Correlation .587
** .352
** .755
**
Sig. (2-tailed) .000 .000 .000
N 100 100 100
Y.10 Pearson Correlation .588
** .208
* .744
**
Sig. (2-tailed) .000 .038 .000
N 100 100 100
Y.11 Pearson Correlation 1 .297
** .602
**
Sig. (2-tailed) .003 .000 N
100 100 100 Y.12 Pearson
Correlation .297** 1 .556
**
Sig. (2-tailed) .003 .000
N 100 100 100
Total_Y
Pearson Correlation .602
** .556
** 1
Sig. (2-tailed) .000 .000
N 100 100 100
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
DATASET ACTIVATE DataSet0.
RELIABILITY
/VARIABLES=X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 10-JUL-2019 02:53:34 Comments Input Active Dataset DataSet0
Filter
Weight
Split File
N of Rows in Working Data File
100
Matrix Input 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 for all variables in the
procedure.
Syntax
RELIABILITY
/VARIABLES=X.1 X.2 X.3 X.4 X.5
X.6 X.7 X.8 X.9
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL. Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.09
[DataSet0]
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 100 100.0
Excludeda 0 .0
Total 100 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's
Alpha N of Items
.818 9
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
X.1 33.33 19.072 .143 .861 X.2 32.84 17.287 .632 .788 X.3 32.79 16.996 .677 .782 X.4 32.85 17.341 .612 .790 X.5 32.73 18.260 .470 .805 X.6 32.66 17.580 .588 .793 X.7 32.90 16.576 .703 .778 X.8 32.92 16.701 .650 .783 X.9 33.06 17.471 .434 .812
RELIABILITY
/VARIABLES=Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11
Y.12
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 10-JUL-2019 03:41:35 Comments Input Active Dataset DataSet1
Filter
Weight
Split File
N of Rows in Working Data File
100
Matrix Input 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 for all variables in the
procedure.
Syntax
RELIABILITY
/VARIABLES=Y.1 Y.2 Y.3 Y.4 Y.5
Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL. Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
[DataSet0]
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 100 100.0
Excludeda 0 .0
Total 100 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's
Alpha N of Items
851 12
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
Y.1 42.81 38.398 .311 .854
Y.2 42.68 37.109 .510 .840
Y.3 42.81 37.105 .502 .841
Y.4 43.09 38.204 .368 .849
Y.5 43.09 36.164 .572 .836
Y.6 43.28 35.194 .592 .834
Y.7 42.96 35.958 .617 .833
Y.8 42.83 35.961 .546 .837
Y.9 42.98 34.444 .683 .827
Y.10 42.92 35.488 .681 .829
Y.11 43.41 35.396 .482 .843
Y.12 43.26 36.578 .440 .846
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X.
Regression
Output Created 05-JUL-2019 16:58:19 Comments Input Active Dataset DataSet0
Filter
Weight
Split File
N of Rows in Working Data File
100
Matrix Input 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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X.. Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.03
Memory Required 1356 bytes Additional Memory
Required for Residual Plots
0 bytes
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Tayangan Drama
Koreab
Enter
a. Dependent Variable: Minat Belajar Bahasa Korea
b. All requested variables entered.
Model Summary
Model R R Square Adjusted R
Square
Std. Error of
the Estimate
1 .679a .462 .456 4.81676
a. Predictors: (Constant), Tayangan Drama Korea
Model Summary
Model Sum of
Squares
df Mean
Square
F Sig.
1 Regression 1949.648 1 1949.648 84.032 .000b
Residual 2273.712 98 23.201
Total 4223.360 99
a. Dependent Variable: Minat Belajar Bahasa Korea
b. Predictors: (Constant), Tayangan Drama Korea
ANOVAa
Model Sum of
Squares
df Mean
Square
F Sig.
1 Regression 1949.648 1 1949.648 84.032 .000b
Residual 2273.712 98 23.201
Total 4223.360 99
a. Dependent Variable: Minat Belajar Bahasa Korea
b. Predictors: (Constant), Tayangan Drama Korea
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients t Sig.
. B Std. Error Beta
1 (Constant) 11.603 3.883 23.201
2.988 .004
Tayangan Drama Korea .954 .104
.679 9.167
.000
a. Dependent Variable: Minat Belajar Bahasa Korea