kc.umn.ac.idkc.umn.ac.id/843/8/LAMPIRAN.pdfkc.umn.ac.id

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DAFTAR RESPONDEN PENELITIAN

1. Nama Akun

Facebook 2. Usia 3. Pendidikan Terakhir 4. Pekerjaan saat ini

5. Jenis produk L'Oreal yang pernah atau

sedang digunakan (Boleh pilih lebih dari satu)

1 Indah Denok 17 - 25 tahun SMA Wiraswasta

Perawatan rambut (shampoo, conditioner, hair mask, dan lain-lain)

2 Ratna Permatasari

17 - 25 tahun Sarjana Pegawai Swasta

Perawatan Wajah (sabun muka, pembersih wajah, night cream, day cream, serum wajah, dan lain-lain)

3 Egiwimmin Egi 17 - 25 tahun SMA Pelajar / Mahasiswa


4 Intan Anjasari

17 - 25 tahun SMA Ibu Rumah Tangga


5 Ros Mawar 17 - 25 tahun SMA Free lance - oriflame


6 Shelly chandra 17 - 25 tahun SMA Pelajar / Mahasiswa


7 Martha Meiisiia 17 - 25 tahun Sarjana Pegawai Swasta

Kosmetik atau alat make up (lipstick, bedak wajah, blush on, dan lain-lain)

8 Salsa Billa 26 - 34 tahun SMA Pegawai swasta


Pengaruh Kampanye..., Margaretta Maria Riri Rosalina, FIKOM UMN, 2015

9 vevioktavia 17 - 25 tahun Sarjana Pegawai Swasta


10 Dila Caem 26 - 34 tahun SMP Ibu Rumah Tangga


11 Novy July Rizky 26 - 34 tahun SMA Pegawai Swasta


12 elizabeth herman 17 - 25 tahun SMA Pelajar / Mahasiswa


13

Resti winiera T. sera 17 - 25 tahun Sarjana Ibu Rumah Tangga


14 Yustin kartika sari 17 - 25 tahun SMA Pelajar / Mahasiswa


15 Rinaa fitri 17 - 25 tahun SMA Pelajar / Mahasiswa


16 Theresia Meirisye 17 - 25 tahun Sarjana Pegawai Swasta


17 dhewy rahmawati 26 - 34 tahun SMA Pegawai Swasta


18 Marnyy djjtimor 17 - 25 tahun SMA Pelajar / Mahasiswa


19 Tika Oktora 17 - 25 tahun Sarjana Pegawai Swasta

Perawatan rambut (shampoo, conditioner,


hair mask, dan lain-lain)

20 Stella Raflesia 26 - 34 tahun Sarjana Pegawai Swasta


21

Faleria Sheena Mary 17 - 25 tahun SMA Pegawai Swasta


22 fafa rai 17 - 25 tahun SMA Pegawai Swasta


23 Sely Agustina 26-34 tahun SMP Ibu Rumah Tangga


24 Septi Maulida 17 - 25 tahun Sarjana Pegawai Swasta


25 annisa 17 - 25 tahun Diploma Pelajar / Mahasiswa


26 Devie anggraini 26 - 34 tahun Sarjana Pegawai Swasta


27 Afan laelaazmi 26 - 34 tahun SMA Ibu Rumah Tangga


28 angelitta jaksana 17 - 25 tahun Sarjana Pegawai Swasta


29 Diana Cahya >34 tahun Sarjana Wiraswasta



30

Vielda AzharySiswoyo

Greenalova 17 - 25 tahun SMA Ibu Rumah Tangga Perawatan rambut (shampoo, conditioner, hair mask, dan lain-lain)

31 Niia R Pratamma 17 - 25 tahun Sarjana Pegawai Swasta


32 Caroline Pangestu 17 - 25 tahun SMA Pelajar / Mahasiswa


33 Makhorys

26 - 34 tahun Sarjana Ibu Rumah Tangga


34 Indira Prana Citra 17 - 25 tahun SMA Wiraswasta


35 Arnieswidiastuti

26 - 34 tahun SMA TKW


36 nurmalasari 26 - 34 tahun Sarjana Pegawai Swasta


37 Eliza putru

17 - 25 tahun SMA Wiraswasta


38 Wulan fazrillia 26 - 34 tahun Sarjana Pegawai Negeri Perawatan Wajah (sabun muka, pembersih

wajah, night cream, day cream, serum wajah,


dan lain-lain)

39 Novita vani febi 26 - 34 tahun Sarjana Ibu Rumah Tangga


40 Ecy Gatott

26 - 34 tahun SMA Pegawai Swasta


41

yundamutmutcyankyandaslalu 17 - 25 tahun SMA Wiraswasta


42 yessy.nuraeni 17 - 25 tahun Sarjana Pegawai Swasta


43 Sarah Rha Tandi

17 - 25 tahun Diploma Pegawai Swasta


44

Rôs Câháyä Biñtàñk 17 - 25 tahun SMA Wiraswasta


45 wildha ida 17 - 25 tahun Sarjana Pegawai swasta


46 Desi Maria Sianipar 17 - 25 tahun Sarjana Pegawai Swasta


47 Lestari Diana 26 - 34 tahun SMA Pegawai Swasta



mailto:[email protected]

48 Ris Kah Ve 17 - 25 tahun Sarjana Pegawai Swasta


49 irsyad nda 17 - 25 tahun Diploma Ibu Rumah Tangga


50 Sryee sedativesoul 17 - 25 tahun SMA Pelajar / Mahasiswa


51

Nina Okta Rina Celiaconect 26 - 34 tahun SMA Pelajar / Mahasiswa


52 Oktry Zebua > 34 tahun SMA Wiraswasta


53 Nova Rida Ys 26 - 34 tahun SMA Wiraswasta


54 Yusma Leni 17 - 25 tahun Diploma Wiraswasta


55

Meili Aminya Arya Faris 26 - 34 tahun SMK Ibu Rumah Tangga



LAMPIRAN


NILAI HASIL KUESIONER RESPONDEN

No. Resp.

X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15

1 2 4 2 2 2 3 3 3 2 2 2 2 2 2 2

2 3 3 3 3 4 4 4 3 4 4 4 3 3 3 3

3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

4 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2

5 2 2 2 3 3 3 3 3 3 3 3 2 2 2 2

6 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3

7 2 2 2 2 4 4 4 4 4 4 4 4 4 4 4

8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2

9 1 2 2 2 3 3 3 3 3 3 3 2 2 2 2

10 1 3 3 1 3 3 2 2 2 3 3 2 1 2 2

11 2 2 3 2 3 3 3 3 3 3 3 3 3 3 3

12 2 2 2 2 2 3 3 3 3 3 2 2 2 2 2

13 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

14 3 4 3 2 4 3 3 3 3 3 3 2 2 3 2

15 1 1 1 1 1 3 2 2 1 1 1 1 1 1 1

16 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2

17 3 3 1 3 1 1 1 1 1 1 1 1 1 1 1

18 3 3 2 2 3 2 3 3 3 3 3 2 2 2 2

19 3 3 2 2 3 3 3 3 3 3 3 3 3 3 3

20 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

21 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

22 3 2 2 2 3 2 2 2 2 2 2 3 2 2 3

23 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3


24 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

25 2 4 4 3 3 3 3 3 3 3 3 3 3 3 3

26 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

27 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2

28 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2

29 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3

30 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4

31 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4

32 2 3 2 2 2 2 2 2 2 2 2 2 2 2 2

33 1 1 1 1 2 2 2 2 2 2 3 1 2 2 2

34 1 1 1 1 3 3 3 2 2 2 2 2 2 2 2

35 2 2 4 4 4 3 4 3 2 4 3 3 4 3 4

36 3 4 3 4 3 4 3 3 4 4 4 4 4 4 4

37 3 3 2 2 3 3 3 3 3 4 3 3 4 3 3

38 4 4 3 3 3 3 3 3 3 4 3 4 4 4 2

39 1 1 1 1 3 3 3 2 2 2 2 2 2 2 2

40 2 2 2 2 2 2 2 2 2 2 3 1 2 2 2

41 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

42 3 2 2 2 3 2 3 2 3 3 2 2 2 2 2

43 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

44 3 4 3 4 4 4 4 4 4 4 4 3 3 3 3

45 4 3 3 1 3 4 3 4 4 4 4 1 1 1 1

46 4 2 3 3 4 4 4 4 4 4 4 3 2 2 2

47 4 4 3 1 4 3 3 4 4 4 4 2 1 1 1

48 2 2 2 2 2 3 3 3 3 3 2 2 2 3 2

49 3 3 2 2 4 2 2 4 4 4 4 2 2 2 2


50 2 3 2 2 3 3 3 2 3 3 3 2 2 2 2

51 1 1 3 2 3 3 3 3 2 3 3 3 3 3 4

52 2 2 3 2 3 3 3 3 3 3 3 3 3 3 3

53 2 2 2 2 2 3 3 3 2 2 2 2 2 2 2

54 2 2 2 2 2 2 2 3 3 3 3 3 3 2 3

55 3 3 4 3 4 4 4 4 4 3 3 3 4 3 3

No. Resp

X16 X17 X18 X19 X20 X21 X22 X23 X24 X25 X26 X27 X28 TOTAL SKOR

X

1 3 3 2 3 2 3 4 4 2 2 2 2 2 69

2 4 3 3 3 3 3 3 3 3 3 3 3 3 91

3 1 1 1 1 1 1 1 1 2 1 1 1 1 29

4 2 2 3 2 2 2 2 2 2 3 3 3 3 66

5 3 3 2 2 2 2 2 2 3 3 3 2 2 69

6 3 3 3 3 2 2 2 2 2 2 2 2 2 64

7 4 4 4 4 2 2 2 2 2 2 2 2 2 86

8 2 2 2 2 2 2 2 2 2 2 2 2 2 56

9 3 3 3 3 3 3 4 4 2 2 3 4 2 75

10 3 2 2 2 2 2 2 2 2 2 3 4 4 65

11 3 3 3 3 3 3 3 2 3 3 3 3 3 80

12 2 3 2 2 2 2 2 2 2 2 2 3 2 63

13 1 1 1 1 1 1 1 1 1 1 1 1 1 28

14 3 3 3 3 3 3 4 3 3 3 3 3 2 82

15 2 2 1 1 1 1 1 2 2 2 2 2 2 40

16 3 3 3 3 3 3 3 4 4 3 3 4 4 82

17 1 1 1 1 1 1 1 1 1 1 1 1 1 34

18 3 2 2 2 2 2 2 2 3 2 2 3 3 68


19 3 3 3 3 3 3 3 3 3 3 3 3 3 82

20 3 3 3 3 3 3 3 3 3 3 3 3 3 84

21 3 3 3 3 3 3 3 3 3 3 3 3 3 84

22 2 2 3 3 3 3 3 3 3 3 3 3 3 71

23 3 3 3 3 3 3 3 3 3 3 3 3 3 84

24 3 3 3 3 3 3 3 3 3 3 3 3 3 84

25 2 3 3 3 3 3 2 3 3 2 4 3 4 84

26 3 3 3 3 3 3 3 3 3 3 3 3 3 84

27 2 2 2 2 2 2 2 2 2 2 2 2 2 56

28 2 2 2 2 2 2 2 3 3 2 2 3 2 59

29 3 3 2 3 3 3 3 3 3 3 3 3 3 82

30 4 4 4 3 3 2 3 3 3 4 4 3 2 102

31 4 4 4 4 4 4 4 4 4 4 4 4 4 111

32 2 2 2 2 2 2 2 2 2 2 2 2 2 57

33 2 2 2 2 2 2 2 2 2 2 2 2 2 52

34 3 3 3 3 3 3 3 3 2 2 2 2 2 63

35 3 4 3 4 3 3 3 3 3 3 3 3 4 91

36 4 3 3 4 3 4 4 4 4 3 3 4 4 102

37 3 3 3 3 3 3 3 3 3 3 3 3 4 85

38 4 3 4 3 4 3 4 3 4 3 4 4 3 96

39 3 3 3 3 3 3 3 3 2 2 2 2 2 63

40 2 2 2 2 2 2 2 2 2 2 2 2 2 56

41 1 1 1 1 1 1 1 1 1 1 1 1 1 28

42 2 2 2 2 2 2 2 2 2 2 2 2 2 61

43 3 3 3 3 3 3 3 3 3 3 3 3 3 84

44 4 4 4 4 4 4 4 4 4 3 4 4 4 105


45 4 4 3 2 4 4 4 1 4 2 1 4 1 79

46 3 3 3 3 3 3 3 2 3 3 3 2 2 85

47 4 3 3 3 3 4 2 4 3 1 1 4 4 82

48 2 3 2 3 3 2 2 2 2 2 2 3 3 67

49 3 4 1 1 1 1 1 4 1 2 2 2 2 67

50 3 2 2 3 3 2 3 3 3 3 3 3 2 72

51 2 3 3 3 3 3 3 3 3 3 3 2 3 77

52 4 3 3 3 3 4 3 3 3 3 3 3 3 83

53 3 3 2 2 2 2 2 3 3 3 3 2 2 65

54 3 3 2 2 3 2 2 3 3 3 3 2 3 71

55 4 4 3 2 3 3 4 3 3 3 3 3 3 93

No. Resp.

Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15

1 4 4 3 3 3 2 3 2 3 3 4 2 2 3 3

2 4 4 4 4 3 3 3 3 4 4 2 3 4 4 4

3 3 4 3 4 1 1 1 1 1 1 2 1 1 1 3

4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

5 3 3 4 3 3 2 2 2 3 2 3 2 3 4 3

6 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

7 4 4 4 4 4 2 2 2 2 2 4 4 4 4 4

8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2

9 4 4 3 4 3 2 2 1 2 2 4 3 2 4 3

10 3 3 3 3 3 3 3 3 3 3 3 3 3 4 3

11 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

12 3 3 3 3 2 2 2 2 3 2 3 2 2 3 3

13 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1


14 3 4 4 3 4 3 3 3 3 3 4 3 3 5 4

15 2 3 2 3 1 1 1 1 1 1 1 1 1 2 2

16 3 3 4 4 3 2 2 2 3 2 3 3 3 4 3

17 1 3 3 3 1 1 1 1 1 1 1 1 1 1 1

18 3 3 3 3 2 2 2 2 2 2 2 2 2 3 3

19 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

20 3 3 3 3 3 3 3 3 3 3 3 3 3 4 3

21 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

22 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

23 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

24 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

25 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3

26 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

27 3 3 2 3 2 2 2 2 2 2 2 2 2 2 2

28 3 3 3 3 2 2 2 2 2 2 3 2 2 2 2

29 3 4 4 3 3 3 3 3 3 3 3 3 3 3 3

30 4 3 3 4 4 3 3 3 4 4 3 2 3 4 3

31 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4

32 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2

33 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2

34 3 3 3 3 3 3 2 2 2 2 3 2 2 3 3

35 3 3 4 3 3 3 3 3 3 4 4 4 4 4 4

36 4 4 3 3 4 4 4 4 4 4 3 4 3 3 3

37 3 4 3 4 3 3 3 4 3 3 3 2 3 3 3

38 4 4 3 4 3 3 4 4 3 4 3 3 3 4 4

39 3 3 3 3 3 3 2 2 2 2 3 2 2 3 3


40 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2

41 1 4 4 1 1 1 1 1 1 1 1 1 1 1 1

42 4 4 4 4 2 2 2 2 3 2 3 2 2 3 3

43 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4

44 4 4 4 4 4 4 4 4 4 3 4 3 4 5 4

45 4 4 4 4 3 3 3 1 2 1 4 1 4 5 4

46 3 3 4 4 3 3 2 2 2 2 3 3 3 4 4

47 4 3 4 4 3 1 2 1 3 1 4 1 3 4 4

48 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

49 4 4 4 4 1 1 1 1 1 1 4 3 4 4 4

50 3 3 2 3 2 2 2 2 3 3 2 2 2 3 3

51 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

52 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4

53 3 3 3 3 2 2 2 2 2 2 3 2 2 2 2

54 3 3 3 3 3 2 2 3 3 3 2 3 3 3 3

55 4 4 4 4 4 3 3 2 3 3 4 3 4 4 4

No. Resp.

Y16 Y17 Y18 Y19 Y20 Y21 Y22 TOTAL SKOR Y

1 3 4 4 4 4 4 4 71

2 4 4 4 4 3 3 3 78

3 3 2 2 2 4 1 1 43

4 3 3 3 3 3 2 3 65

5 4 3 3 3 3 3 3 64

6 3 3 3 3 3 2 2 64

7 4 4 4 4 4 4 2 76

8 2 2 2 2 2 2 2 44


9 3 3 3 4 3 4 4 67

10 3 3 3 3 3 3 3 67

11 3 3 3 3 3 3 3 66

12 3 3 3 3 2 3 2 57

13 1 1 1 1 1 1 1 22

14 4 4 3 3 4 3 3 76

15 2 2 2 2 2 2 2 37

16 4 3 3 3 4 3 3 67

17 1 1 1 1 1 1 1 28

18 3 3 3 3 2 2 3 55

19 3 3 3 3 3 3 3 66

20 3 3 3 3 3 3 3 67

21 3 3 3 3 3 3 3 66

22 3 3 3 3 3 3 3 66

23 3 3 3 3 3 3 3 66

24 3 3 3 3 3 3 3 66

25 4 3 3 3 2 3 3 65

26 3 3 3 3 3 3 3 66

27 2 3 3 2 2 2 2 49

28 2 2 2 2 3 2 2 50

29 3 3 3 4 3 3 4 70

30 3 2 3 3 3 4 3 71

31 4 4 4 4 4 4 4 89

32 2 3 3 3 2 2 2 47

33 2 2 3 3 3 3 2 51

34 3 3 3 2 3 2 2 57


35 4 4 4 4 4 4 4 80

36 3 3 3 3 3 3 4 76

37 3 4 4 3 3 3 3 70

38 3 4 4 4 4 4 3 79

39 3 3 3 2 3 2 2 57

40 2 2 3 3 3 3 2 51

41 1 1 4 1 4 2 2 36

42 3 3 3 3 3 2 2 61

43 3 4 3 3 3 3 4 69

44 4 4 4 4 4 4 4 87

45 4 4 4 4 4 4 3 74

46 4 4 4 4 4 4 4 73

47 4 4 4 4 4 3 2 67

48 3 3 3 3 3 3 3 66

49 4 4 4 4 4 3 3 67

50 2 2 2 2 3 3 2 53

51 3 3 3 3 3 3 3 66

52 4 4 4 4 4 4 4 75

53 3 3 3 3 3 3 3 56

54 3 3 3 3 3 3 3 63

55 4 4 4 4 4 3 3 79


CORRELATIONS

/VARIABLES=X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19

X20 X21 X22 X23 X24 X25 X26 X27 X28 Skor_total_X

/PRINT=TWOTAIL NOSIG

/MISSING=PAIRWISE.

Correlations

Notes

Output Created 25-FEB-2015 16:09:37

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File 30

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=X1 X2 X3 X4 X5 X6 X7

X8 X9 X10 X11 X12 X13 X14 X15 X16

X17 X18 X19 X20 X21 X22 X23 X24

X25 X26 X27 X28 Skor_total_X


/MISSING=PAIRWISE.


Resources Processor Time 00:00:00.36

Elapsed Time 00:00:01.94

[DataSet0]

Correlations

X1 X2 X3 X4 X5 X6 X7 X8 X9

X1

0

X1

1

X1

2

X1

3

X1

4

X1

5

X1

6

X1

7

X1

8

X1

9

X2

0

X1 Pearso

n

Correlat

ion

1 .65

3**

.52

8**

.77

5**

.55

1**

.28

6

.46

1*

.44

6*

.51

7**

.41

7*

.43

3*

.52

8**

.54

3**

.52

8**

.52

8**

.40

7*

.39

1*

.57

7**

.44

3*

.55

8**

Sig. (2-

tailed) .00

0

.00

3

.00

0

.00

2

.12

6

.01

0

.01

3

.00

3

.02

2

.01

7

.00

3

.00

2

.00

3

.00

3

.02

5

.03

3

.00

1

.01

4

.00

1

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X2 Pearso

n

Correlat

ion

.65

3** 1

.73

4**

.63

8**

.59

3**

.45

2*

.52

9**

.53

4**

.50

7**

.50

7**

.53

4**

.43

6*

.43

0*

.53

5**

.43

6*

.47

9**

.48

2**

.49

2**

.51

9**

.58

4**

Sig. (2-

tailed)

.00

0 .00

0

.00

0

.00

1

.01

2

.00

3

.00

2

.00

4

.00

4

.00

2

.01

6

.01

8

.00

2

.01

6

.00

7

.00

7

.00

6

.00

3

.00

1

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X3 Pearso

n

Correlat

ion

.52

8**

.73

4** 1

.67

1**

.76

7**

.63

4**

.65

0**

.64

9**

.70

1**

.70

1**

.71

9**

.68

8**

.65

3**

.74

0**

.68

8**

.59

7**

.64

9**

.72

4**

.65

5**

.80

2**

Sig. (2-

tailed)

.00

3

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30


X4 Pearso

n

Correlat

ion

.77

5**

.63

8**

.67

1** 1

.53

2**

.41

6*

.54

4**

.53

2**

.60

1**

.49

5**

.51

1**

.55

9**

.62

9**

.55

9**

.55

9**

.43

1*

.53

2**

.55

5**

.46

8**

.59

1**

Sig. (2-

tailed)

.00

0

.00

0

.00

0 .00

2

.02

2

.00

2

.00

3

.00

0

.00

5

.00

4

.00

1

.00

0

.00

1

.00

1

.01

7

.00

3

.00

1

.00

9

.00

1

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X5 Pearso

n

Correlat

ion

.55

1**

.59

3**

.76

7**

.53

2** 1

.76

2**

.83

6**

.81

0**

.89

4**

.89

4**

.92

2**

.76

7**

.70

8**

.81

5**

.76

7**

.83

6**

.76

0**

.85

6**

.80

3**

.79

6**

Sig. (2-

tailed)

.00

2

.00

1

.00

0

.00

2 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X6 Pearso

n

Correlat

ion

.28

6

.45

2*

.63

4**

.41

6*

.76

2** 1

.92

1**

.89

3**

.83

5**

.83

5**

.81

6**

.68

7**

.67

9**

.74

0**

.68

7**

.86

8**

.89

3**

.68

1**

.71

9**

.63

8**

Sig. (2-

tailed)

.12

6

.01

2

.00

0

.02

2

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X7 Pearso

n

Correlat

ion

.46

1*

.52

9**

.65

0**

.54

4**

.83

6**

.92

1** 1

.97

4**

.95

5**

.90

6**

.88

5**

.75

5**

.79

1**

.80

7**

.75

5**

.89

5**

.91

9**

.75

4**

.79

6**

.71

4**

Sig. (2-

tailed)

.01

0

.00

3

.00

0

.00

2

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30


X8 Pearso

n

Correlat

ion

.44

6*

.53

4**

.64

9**

.53

2**

.81

0**

.89

3**

.97

4** 1

.92

9**

.87

6**

.85

3**

.75

9**

.79

6**

.81

4**

.75

9**

.86

4**

.94

2**

.76

4**

.80

7**

.71

1**

Sig. (2-

tailed)

.01

3

.00

2

.00

0

.00

3

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X9 Pearso

n

Correlat

ion

.51

7**

.50

7**

.70

1**

.60

1**

.89

4**

.83

5**

.95

5**

.92

9** 1

.95

3**

.93

1**

.80

0**

.82

5**

.84

9**

.80

0**

.85

6**

.87

6**

.80

8**

.80

2**

.77

0**

Sig. (2-

tailed)

.00

3

.00

4

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X10 Pearso

n

Correlat

ion

.41

7*

.50

7**

.70

1**

.49

5**

.89

4**

.83

5**

.90

6**

.87

6**

.95

3** 1

.97

7**

.80

0**

.77

7**

.84

9**

.80

0**

.85

6**

.82

4**

.75

9**

.75

0**

.71

4**

Sig. (2-

tailed)

.02

2

.00

4

.00

0

.00

5

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X11 Pearso

n

Correlat

ion

.43

3*

.53

4**

.71

9**

.51

1**

.92

2**

.81

6**

.88

5**

.85

3**

.93

1**

.97

7** 1

.81

8**

.79

1**

.86

7**

.81

8**

.88

5**

.80

1**

.78

2**

.77

4**

.73

3**

Sig. (2-

tailed)

.01

7

.00

2

.00

0

.00

4

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30


X12 Pearso

n

Correlat

ion

.52

8**

.43

6*

.68

8**

.55

9**

.76

7**

.68

7**

.75

5**

.75

9**

.80

0**

.80

0**

.81

8** 1

.95

4**

.94

8**

1.0

00*

*

.75

5**

.81

4**

.87

9**

.87

3**

.74

3**

Sig. (2-

tailed)

.00

3

.01

6

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X13 Pearso

n

Correlat

ion

.54

3**

.43

0*

.65

3**

.62

9**

.70

8**

.67

9**

.79

1**

.79

6**

.82

5**

.77

7**

.79

1**

.95

4** 1

.95

4**

.95

4**

.74

1**

.84

9**

.84

7**

.84

1**

.70

1**

Sig. (2-

tailed)

.00

2

.01

8

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X14 Pearso

n

Correlat

ion

.52

8**

.53

5**

.74

0**

.55

9**

.81

5**

.74

0**

.80

7**

.81

4**

.84

9**

.84

9**

.86

7**

.94

8**

.95

4** 1

.94

8**

.80

7**

.86

9**

.87

9**

.87

3**

.74

3**

Sig. (2-

tailed)

.00

3

.00

2

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X15 Pearso

n

Correlat

ion

.52

8**

.43

6*

.68

8**

.55

9**

.76

7**

.68

7**

.75

5**

.75

9**

.80

0**

.80

0**

.81

8**

1.0

00*

*

.95

4**

.94

8** 1

.75

5**

.81

4**

.87

9**

.87

3**

.74

3**

Sig. (2-

tailed)

.00

3

.01

6

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30


X16 Pearso

n

Correlat

ion

.40

7*

.47

9**

.59

7**

.43

1*

.83

6**

.86

8**

.89

5**

.86

4**

.85

6**

.85

6**

.88

5**

.75

5**

.74

1**

.80

7**

.75

5** 1

.86

4**

.75

4**

.79

6**

.65

5**

Sig. (2-

tailed)

.02

5

.00

7

.00

0

.01

7

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X17 Pearso

n

Correlat

ion

.39

1*

.48

2**

.64

9**

.53

2**

.76

0**

.89

3**

.91

9**

.94

2**

.87

6**

.82

4**

.80

1**

.81

4**

.84

9**

.86

9**

.81

4**

.86

4** 1

.81

9**

.86

5**

.71

1**

Sig. (2-

tailed)

.03

3

.00

7

.00

0

.00

3

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X18 Pearso

n

Correlat

ion

.57

7**

.49

2**

.72

4**

.55

5**

.85

6**

.68

1**

.75

4**

.76

4**

.80

8**

.75

9**

.78

2**

.87

9**

.84

7**

.87

9**

.87

9**

.75

4**

.81

9** 1

.89

3**

.79

0**

Sig. (2-

tailed)

.00

1

.00

6

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X19 Pearso

n

Correlat

ion

.44

3*

.51

9**

.65

5**

.46

8**

.80

3**

.71

9**

.79

6**

.80

7**

.80

2**

.75

0**

.77

4**

.87

3**

.84

1**

.87

3**

.87

3**

.79

6**

.86

5**

.89

3** 1

.83

4**

Sig. (2-

tailed)

.01

4

.00

3

.00

0

.00

9

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30


X20 Pearso

n

Correlat

ion

.55

8**

.58

4**

.80

2**

.59

1**

.79

6**

.63

8**

.71

4**

.71

1**

.77

0**

.71

4**

.73

3**

.74

3**

.70

1**

.74

3**

.74

3**

.65

5**

.71

1**

.79

0**

.83

4** 1

Sig. (2-

tailed)

.00

1

.00

1

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X21 Pearso

n

Correlat

ion

.43

9*

.58

4**

.68

4**

.46

4**

.68

8**

.57

8**

.65

5**

.64

8**

.65

8**

.60

2**

.62

1**

.62

5**

.58

8**

.62

5**

.62

5**

.59

6**

.64

8**

.67

3**

.83

4**

.93

3**

Sig. (2-

tailed)

.01

5

.00

1

.00

0

.01

0

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

1

.00

0

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X22 Pearso

n

Correlat

ion

.41

6*

.59

1**

.56

2**

.38

8*

.66

5**

.58

3**

.65

1**

.65

6**

.61

0**

.56

3**

.58

4**

.51

2**

.49

1**

.56

2**

.51

2**

.65

1**

.65

6**

.63

5**

.77

4**

.82

9**

Sig. (2-

tailed)

.02

2

.00

1

.00

1

.03

4

.00

0

.00

1

.00

0

.00

0

.00

0

.00

1

.00

1

.00

4

.00

6

.00

1

.00

4

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X23 Pearso

n

Correlat

ion

.35

0

.56

1**

.54

8**

.42

6*

.54

0**

.59

5**

.61

8**

.62

3**

.53

6**

.43

8*

.46

3**

.44

5*

.43

2*

.44

5*

.44

5*

.56

6**

.62

3**

.56

5**

.70

4**

.76

9**

Sig. (2-

tailed)

.05

8

.00

1

.00

2

.01

9

.00

2

.00

1

.00

0

.00

0

.00

2

.01

5

.01

0

.01

4

.01

7

.01

4

.01

4

.00

1

.00

0

.00

1

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30


X24 Pearso

n

Correlat

ion

.54

7**

.43

8*

.65

9**

.51

2**

.64

9**

.52

6**

.61

7**

.61

8**

.64

5**

.52

7**

.55

7**

.53

5**

.52

0**

.53

5**

.53

5**

.55

5**

.55

2**

.55

5**

.58

6**

.78

4**

Sig. (2-

tailed)

.00

2

.01

5

.00

0

.00

4

.00

0

.00

3

.00

0

.00

0

.00

0

.00

3

.00

1

.00

2

.00

3

.00

2

.00

2

.00

1

.00

2

.00

1

.00

1

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X25 Pearso

n

Correlat

ion

.68

9**

.51

0**

.74

5**

.66

7**

.76

8**

.66

9**

.68

9**

.68

9**

.69

7**

.64

2**

.66

4**

.68

7**

.65

5**

.68

7**

.68

7**

.68

9**

.68

9**

.72

2**

.64

0**

.80

7**

Sig. (2-

tailed)

.00

0

.00

4

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X26 Pearso

n

Correlat

ion

.46

3*

.61

5**

.88

7**

.60

7**

.79

0**

.70

4**

.67

4**

.68

3**

.69

4**

.69

4**

.72

2**

.66

8**

.59

8**

.66

8**

.66

8**

.61

9**

.68

3**

.73

4**

.66

0**

.85

4**

Sig. (2-

tailed)

.01

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

X27 Pearso

n

Correlat

ion

.28

6

.45

2*

.68

7**

.30

2

.66

4**

.57

1**

.54

9**

.55

8**

.58

4**

.58

4**

.56

6**

.42

3*

.32

2

.42

3*

.42

3*

.54

9**

.50

2**

.57

7**

.55

3**

.75

8**

Sig. (2-

tailed)

.12

6

.01

2

.00

0

.10

4

.00

0

.00

1

.00

2

.00

1

.00

1

.00

1

.00

1

.02

0

.08

2

.02

0

.02

0

.00

2

.00

5

.00

1

.00

2

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30


X28 Pearso

n

Correlat

ion

.31

4

.49

2**

.72

4**

.33

3

.57

1**

.47

2**

.44

2*

.43

7*

.46

5**

.46

5**

.48

9**

.46

5**

.34

9

.41

3*

.46

5**

.44

2*

.38

2*

.48

7**

.51

4**

.67

3**

Sig. (2-

tailed)

.09

1

.00

6

.00

0

.07

2

.00

1

.00

8

.01

4

.01

6

.01

0

.01

0

.00

6

.01

0

.05

9

.02

3

.01

0

.01

4

.03

7

.00

6

.00

4

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Skor

_tot

al_X

Pearso

n

Correlat

ion

.61

0**

.66

7**

.84

4**

.66

3**

.91

5**

.83

3**

.90

3**

.89

8**

.91

9**

.88

2**

.89

5**

.86

7**

.84

5**

.89

2**

.86

7**

.86

2**

.88

8**

.88

9**

.89

8**

.90

7**

Sig. (2-

tailed)

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Correlations

X21 X22 X23 X24 X25 X26 X27 X28

Skor_total

_X

X1 Pearson

Correlation .439* .416* .350 .547** .689** .463* .286 .314 .610**

Sig. (2-tailed) .015 .022 .058 .002 .000 .010 .126 .091 .000

N 30 30 30 30 30 30 30 30 30

X2 Pearson

Correlation .584** .591** .561** .438* .510** .615** .452* .492** .667**

Sig. (2-tailed) .001 .001 .001 .015 .004 .000 .012 .006 .000

N 30 30 30 30 30 30 30 30 30

X3 Pearson

Correlation .684** .562** .548** .659** .745** .887** .687** .724** .844**


Sig. (2-tailed) .000 .001 .002 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30 30 30

X4 Pearson

Correlation .464** .388* .426* .512** .667** .607** .302 .333 .663**

Sig. (2-tailed) .010 .034 .019 .004 .000 .000 .104 .072 .000

N 30 30 30 30 30 30 30 30 30

X5 Pearson

Correlation .688** .665** .540** .649** .768** .790** .664** .571** .915**

Sig. (2-tailed) .000 .000 .002 .000 .000 .000 .000 .001 .000

N 30 30 30 30 30 30 30 30 30

X6 Pearson

Correlation .578** .583** .595** .526** .669** .704** .571** .472** .833**

Sig. (2-tailed) .001 .001 .001 .003 .000 .000 .001 .008 .000

N 30 30 30 30 30 30 30 30 30

X7 Pearson

Correlation .655** .651** .618** .617** .689** .674** .549** .442* .903**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .002 .014 .000

N 30 30 30 30 30 30 30 30 30

X8 Pearson

Correlation .648** .656** .623** .618** .689** .683** .558** .437* .898**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .001 .016 .000

N 30 30 30 30 30 30 30 30 30

X9 Pearson

Correlation .658** .610** .536** .645** .697** .694** .584** .465** .919**

Sig. (2-tailed) .000 .000 .002 .000 .000 .000 .001 .010 .000

N 30 30 30 30 30 30 30 30 30


X10 Pearson

Correlation .602** .563** .438* .527** .642** .694** .584** .465** .882**

Sig. (2-tailed) .000 .001 .015 .003 .000 .000 .001 .010 .000

N 30 30 30 30 30 30 30 30 30

X11 Pearson

Correlation .621** .584** .463** .557** .664** .722** .566** .489** .895**

Sig. (2-tailed) .000 .001 .010 .001 .000 .000 .001 .006 .000

N 30 30 30 30 30 30 30 30 30

X12 Pearson

Correlation .625** .512** .445* .535** .687** .668** .423* .465** .867**

Sig. (2-tailed) .000 .004 .014 .002 .000 .000 .020 .010 .000

N 30 30 30 30 30 30 30 30 30

X13 Pearson

Correlation .588** .491** .432* .520** .655** .598** .322 .349 .845**

Sig. (2-tailed) .001 .006 .017 .003 .000 .000 .082 .059 .000

N 30 30 30 30 30 30 30 30 30

X14 Pearson

Correlation .625** .562** .445* .535** .687** .668** .423* .413* .892**

Sig. (2-tailed) .000 .001 .014 .002 .000 .000 .020 .023 .000

N 30 30 30 30 30 30 30 30 30

X15 Pearson

Correlation .625** .512** .445* .535** .687** .668** .423* .465** .867**

Sig. (2-tailed) .000 .004 .014 .002 .000 .000 .020 .010 .000

N 30 30 30 30 30 30 30 30 30

X16 Pearson

Correlation .596** .651** .566** .555** .689** .619** .549** .442* .862**


Sig. (2-tailed) .001 .000 .001 .001 .000 .000 .002 .014 .000

N 30 30 30 30 30 30 30 30 30

X17 Pearson

Correlation .648** .656** .623** .552** .689** .683** .502** .382* .888**

Sig. (2-tailed) .000 .000 .000 .002 .000 .000 .005 .037 .000

N 30 30 30 30 30 30 30 30 30

X18 Pearson

Correlation .673** .635** .565** .555** .722** .734** .577** .487** .889**

Sig. (2-tailed) .000 .000 .001 .001 .000 .000 .001 .006 .000

N 30 30 30 30 30 30 30 30 30

X19 Pearson

Correlation .834** .774** .704** .586** .640** .660** .553** .514** .898**

Sig. (2-tailed) .000 .000 .000 .001 .000 .000 .002 .004 .000

N 30 30 30 30 30 30 30 30 30

X20 Pearson

Correlation .933** .829** .769** .784** .807** .854** .758** .673** .907**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30 30 30

X21 Pearson

Correlation 1 .885** .828** .714** .675** .730** .698** .673** .821**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30 30 30

X22 Pearson

Correlation .885** 1 .858** .561** .657** .625** .633** .391* .759**

Sig. (2-tailed) .000 .000 .001 .000 .000 .000 .033 .000

N 30 30 30 30 30 30 30 30 30


X23 Pearson

Correlation .828** .858** 1 .646** .582** .649** .699** .513** .712**

Sig. (2-tailed) .000 .000 .000 .001 .000 .000 .004 .000

N 30 30 30 30 30 30 30 30 30

X24 Pearson

Correlation .714** .561** .646** 1 .769** .715** .652** .679** .741**

Sig. (2-tailed) .000 .001 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30 30 30

X25 Pearson

Correlation .675** .657** .582** .769** 1 .835** .610** .549** .838**

Sig. (2-tailed) .000 .000 .001 .000 .000 .000 .002 .000

N 30 30 30 30 30 30 30 30 30

X26 Pearson

Correlation .730** .625** .649** .715** .835** 1 .759** .734** .855**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30 30 30

X27 Pearson

Correlation .698** .633** .699** .652** .610** .759** 1 .786** .701**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30 30 30

X28 Pearson

Correlation .673** .391* .513** .679** .549** .734** .786** 1 .637**

Sig. (2-tailed) .000 .033 .004 .000 .002 .000 .000 .000

N 30 30 30 30 30 30 30 30 30

Skor_total

_X

Pearson

Correlation .821** .759** .712** .741** .838** .855** .701** .637** 1


Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30 30 30

**. Correlation is significant at the 0.01 level (2-tailed).

*. Correlation is significant at the 0.05 level (2-tailed).

DATASET ACTIVATE DataSet0.

RELIABILITY

/VARIABLES=X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19

X20 X21 X22 X23 X24 X25 X26 X27 X28

/SCALE('ALL VARIABLES') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.

Reliability

Notes


Comments

Input Data D:\SKRIPSI - 2014 - Riri\SKRIPSI

REVISI\HASIL OLAH SPSS - SKRIPSI

REVISI\variabel X - utk uji validitas.sav

Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>


File 30


Matrix Input


treated as missing.

Cases Used Statistics are based on all cases with

valid data for all variables in the

procedure.

Syntax RELIABILITY

/VARIABLES=X1 X2 X3 X4 X5 X6 X7

X8 X9 X10 X11 X12 X13 X14 X15 X16

X17 X18 X19 X20 X21 X22 X23 X24

X25 X26 X27 X28


/MODEL=ALPHA

/SUMMARY=TOTAL.



Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 30 100.0

Excludeda 0 .0

Total 30 100.0

a. Listwise deletion based on all variables in the

procedure.


Reliability Statistics

Cronbach's Alpha N of Items

.982 28

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Cronbach's

Alpha if Item

Deleted

X1 67.77 323.426 .582 .983

X2 67.50 320.534 .640 .982

X3 67.70 316.148 .831 .981

X4 67.77 322.875 .639 .982

X5 67.43 311.771 .906 .981

X6 67.43 316.806 .819 .981

X7 67.47 314.533 .895 .981

X8 67.50 315.914 .889 .981

X9 67.53 312.464 .911 .981

X10 67.53 313.637 .871 .981

X11 67.57 313.151 .885 .981

X12 67.70 315.459 .856 .981

X13 67.77 315.220 .831 .981

X14 67.70 314.700 .883 .981

X15 67.70 315.459 .856 .981

X16 67.47 315.775 .850 .981


X17 67.50 316.190 .879 .981

X18 67.60 314.593 .880 .981

X19 67.60 315.697 .889 .981

X20 67.73 317.306 .900 .981

X21 67.73 319.582 .808 .981

X22 67.63 317.482 .738 .982

X23 67.57 319.978 .689 .982

X24 67.57 322.668 .724 .982

X25 67.67 318.851 .826 .981

X26 67.53 317.016 .843 .981

X27 67.43 320.737 .678 .982

X28 67.60 322.248 .609 .982


DATASET ACTIVATE DataSet1.

RELIABILITY

/VARIABLES=Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16 Y17 Y18 Y19 Y20

Y21 Y22


/MODEL=ALPHA

/SUMMARY=TOTAL.

Reliability

Notes


Comments



REVISI\variabel Y - utk uji validitas.sav


Filter <none>

Weight <none>

Split File <none>


File 30

Matrix Input


treated as missing.

Cases Used Statistics are based on all cases with

valid data for all variables in the

procedure.


Syntax RELIABILITY

/VARIABLES=Y1 Y2 Y3 Y4 Y5 Y6 Y7

Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16

Y17 Y18 Y19 Y20 Y21 Y22


/MODEL=ALPHA

/SUMMARY=TOTAL.



Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 30 100.0

Excludeda 0 .0

Total 30 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's Alpha N of Items

.975 22


Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected Item-

Total Correlation

Cronbach's

Alpha if Item

Deleted

Y1 57.57 173.702 .786 .974

Y2 57.37 179.551 .571 .976

Y3 57.47 176.464 .712 .975

Y4 57.40 180.800 .514 .976

Y5 57.83 168.695 .919 .973

Y6 58.10 174.300 .771 .974

Y7 58.07 173.582 .806 .974

Y8 58.13 174.809 .701 .975

Y9 57.90 171.334 .825 .974

Y10 58.00 171.793 .796 .974

Y11 57.73 171.582 .809 .974

Y12 58.00 172.069 .829 .974

Y13 57.93 170.409 .867 .974

Y14 57.50 166.879 .856 .974

Y15 57.67 172.644 .895 .973

Y16 57.57 171.771 .835 .974

Y17 57.67 172.299 .853 .974

Y18 57.67 172.575 .899 .973

Y19 57.63 170.792 .896 .973

Y20 57.67 174.437 .694 .975

Y21 57.80 170.993 .817 .974


Y22 57.83 172.971 .756 .975

Correlations

Notes


Comments



REVISI\variabel Y - utk uji validitas.sav


Filter <none>

Weight <none>

Split File <none>


File 30


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=Y1 Y2 Y3 Y4 Y5 Y6 Y7

Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16

Y17 Y18 Y19 Y20 Y21 Y22

Skor_total_Y


/MISSING=PAIRWISE.




Correlations

Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16

Y1 Pearson

Correlatio

n

1 .68

7**

.56

2**

.70

6**

.68

1**

.43

8*

.50

4**

.34

9

.58

4**

.56

9**

.71

5**

.54

0**

.57

8**

.66

4**

.77

8**

.64

5**

Sig. (2-

tailed) .00

0

.00

1

.00

0

.00

0

.01

6

.00

5

.05

8

.00

1

.00

1

.00

0

.00

2

.00

1

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y2 Pearson

Correlatio

n

.68

7** 1

.72

7**

.77

6**

.41

1*

.18

2

.24

6

.11

0

.24

3

.26

8

.53

2**

.35

3

.31

8

.44

6*

.68

0**

.57

8**

Sig. (2-

tailed)

.00

0 .00

0

.00

0

.02

4

.33

6

.19

0

.56

3

.19

6

.15

3

.00

2

.05

6

.08

7

.01

3

.00

0

.00

1

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y3 Pearson

Correlatio

n

.56

2**

.72

7** 1

.67

1**

.63

1**

.39

9*

.39

4*

.38

0*

.53

2**

.40

9*

.58

3**

.56

4**

.65

8**

.68

2**

.75

0**

.79

3**

Sig. (2-

tailed)

.00

1

.00

0 .00

0

.00

0

.02

9

.03

1

.03

8

.00

2

.02

5

.00

1

.00

1

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y4 Pearson

Correlatio

n

.70

6**

.77

6**

.67

1** 1

.40

3*

.14

1

.13

3

.06

7

.29

3

.24

2

.39

6*

.32

9

.36

8*

.46

2*

.60

9**

.59

3**

Sig. (2-

tailed)

.00

0

.00

0

.00

0 .02

7

.45

7

.48

5

.72

6

.11

6

.19

7

.03

0

.07

6

.04

5

.01

0

.00

0

.00

1


N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y5 Pearson

Correlatio

n

.68

1**

.41

1*

.63

1**

.40

3* 1

.79

0**

.80

4**

.73

0**

.80

3**

.79

7**

.83

3**

.84

1**

.88

3**

.87

3**

.77

9**

.74

6**

Sig. (2-

tailed)

.00

0

.02

4

.00

0

.02

7 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y6 Pearson

Correlatio

n

.43

8*

.18

2

.39

9*

.14

1

.79

0** 1

.96

8**

.97

1**

.86

6**

.92

9**

.57

1**

.79

7**

.82

8**

.63

0**

.61

3**

.53

4**

Sig. (2-

tailed)

.01

6

.33

6

.02

9

.45

7

.00

0 .00

0

.00

0

.00

0

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

2

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y7 Pearson

Correlatio

n

.50

4**

.24

6

.39

4*

.13

3

.80

4**

.96

8** 1

.94

3**

.88

5**

.95

3**

.64

0**

.76

2**

.79

0**

.62

7**

.62

1**

.53

5**

Sig. (2-

tailed)

.00

5

.19

0

.03

1

.48

5

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

2

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y8 Pearson

Correlatio

n

.34

9

.11

0

.38

0*

.06

7

.73

0**

.97

1**

.94

3** 1

.85

3**

.90

7**

.47

3**

.72

5**

.81

5**

.55

1**

.57

0**

.50

2**

Sig. (2-

tailed)

.05

8

.56

3

.03

8

.72

6

.00

0

.00

0

.00

0 .00

0

.00

0

.00

8

.00

0

.00

0

.00

2

.00

1

.00

5

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y9 Pearson

Correlatio

n

.58

4**

.24

3

.53

2**

.29

3

.80

3**

.86

6**

.88

5**

.85

3** 1

.93

0**

.58

1**

.65

5**

.81

9**

.73

3**

.66

7**

.65

9**


Sig. (2-

tailed)

.00

1

.19

6

.00

2

.11

6

.00

0

.00

0

.00

0

.00

0 .00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y10 Pearson

Correlatio

n

.56

9**

.26

8

.40

9*

.24

2

.79

7**

.92

9**

.95

3**

.90

7**

.93

0** 1

.54

0**

.67

7**

.79

8**

.64

2**

.63

2**

.53

6**

Sig. (2-

tailed)

.00

1

.15

3

.02

5

.19

7

.00

0

.00

0

.00

0

.00

0

.00

0 .00

2

.00

0

.00

0

.00

0

.00

0

.00

2

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y11 Pearson

Correlatio

n

.71

5**

.53

2**

.58

3**

.39

6*

.83

3**

.57

1**

.64

0**

.47

3**

.58

1**

.54

0** 1

.73

3**

.61

8**

.73

0**

.71

4**

.67

4**

Sig. (2-

tailed)

.00

0

.00

2

.00

1

.03

0

.00

0

.00

1

.00

0

.00

8

.00

1

.00

2 .00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y12 Pearson

Correlatio

n

.54

0**

.35

3

.56

4**

.32

9

.84

1**

.79

7**

.76

2**

.72

5**

.65

5**

.67

7**

.73

3** 1

.89

6**

.72

3**

.73

0**

.67

9**

Sig. (2-

tailed)

.00

2

.05

6

.00

1

.07

6

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y13 Pearson

Correlatio

n

.57

8**

.31

8

.65

8**

.36

8*

.88

3**

.82

8**

.79

0**

.81

5**

.81

9**

.79

8**

.61

8**

.89

6** 1

.77

3**

.77

5**

.76

0**

Sig. (2-

tailed)

.00

1

.08

7

.00

0

.04

5

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30


Y14 Pearson

Correlatio

n

.66

4**

.44

6*

.68

2**

.46

2*

.87

3**

.63

0**

.62

7**

.55

1**

.73

3**

.64

2**

.73

0**

.72

3**

.77

3** 1

.80

3**

.80

5**

Sig. (2-

tailed)

.00

0

.01

3

.00

0

.01

0

.00

0

.00

0

.00

0

.00

2

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y15 Pearson

Correlatio

n

.77

8**

.68

0**

.75

0**

.60

9**

.77

9**

.61

3**

.62

1**

.57

0**

.66

7**

.63

2**

.71

4**

.73

0**

.77

5**

.80

3** 1

.92

2**

Sig. (2-

tailed)

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0 .00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y16 Pearson

Correlatio

n

.64

5**

.57

8**

.79

3**

.59

3**

.74

6**

.53

4**

.53

5**

.50

2**

.65

9**

.53

6**

.67

4**

.67

9**

.76

0**

.80

5**

.92

2** 1

Sig. (2-

tailed)

.00

0

.00

1

.00

0

.00

1

.00

0

.00

2

.00

2

.00

5

.00

0

.00

2

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y17 Pearson

Correlatio

n

.72

8**

.63

7**

.63

3**

.41

8*

.72

9**

.57

4**

.64

5**

.53

3**

.62

4**

.59

1**

.72

5**

.74

3**

.72

5**

.75

2**

.87

0**

.80

4**

Sig. (2-

tailed)

.00

0

.00

0

.00

0

.02

1

.00

0

.00

1

.00

0

.00

2

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y18 Pearson

Correlatio

n

.84

5**

.60

2**

.60

3**

.52

8**

.77

9**

.61

3**

.68

9**

.57

0**

.72

8**

.69

2**

.71

4**

.73

0**

.77

5**

.75

3**

.85

9**

.79

6**

Sig. (2-

tailed)

.00

0

.00

0

.00

0

.00

3

.00

0

.00

0

.00

0

.00

1

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0


N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y19 Pearson

Correlatio

n

.82

5**

.67

4**

.67

3**

.54

1**

.77

2**

.58

9**

.65

5**

.49

2**

.67

7**

.65

0**

.76

5**

.74

4**

.72

1**

.76

9**

.84

8**

.77

7**

Sig. (2-

tailed)

.00

0

.00

0

.00

0

.00

2

.00

0

.00

1

.00

0

.00

6

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y20 Pearson

Correlatio

n

.74

6**

.67

0**

.66

2**

.61

0**

.63

7**

.36

1*

.42

9*

.33

2

.42

8*

.39

8*

.73

7**

.53

3**

.52

4**

.57

6**

.75

8**

.70

3**

Sig. (2-

tailed)

.00

0

.00

0

.00

0

.00

0

.00

0

.05

0

.01

8

.07

3

.01

8

.02

9

.00

0

.00

2

.00

3

.00

1

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y21 Pearson

Correlatio

n

.74

7**

.47

2**

.51

2**

.46

8**

.83

0**

.54

7**

.61

7**

.44

7*

.67

9**

.62

8**

.80

2**

.66

3**

.66

1**

.79

7**

.67

8**

.65

1**

Sig. (2-

tailed)

.00

0

.00

8

.00

4

.00

9

.00

0

.00

2

.00

0

.01

3

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Y22 Pearson

Correlatio

n

.60

0**

.43

3*

.47

1**

.28

3

.69

6**

.65

3**

.72

8**

.54

3**

.68

7**

.68

1**

.66

6**

.60

9**

.56

1**

.70

0**

.57

4**

.56

6**

Sig. (2-

tailed)

.00

0

.01

7

.00

9

.13

0

.00

0

.00

0

.00

0

.00

2

.00

0

.00

0

.00

0

.00

0

.00

1

.00

0

.00

1

.00

1

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Skor_

total_

Y

Pearson

Correlatio

n

.80

6**

.60

1**

.73

6**

.54

6**

.92

9**

.79

2**

.82

4**

.72

9**

.84

3**

.81

7**

.82

9**

.84

6**

.88

1**

.87

4**

.90

5**

.85

2**


Sig. (2-

tailed)

.00

0

.00

0

.00

0

.00

2

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

.00

0

N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30

Correlations

Y17 Y18 Y19 Y20 Y21 Y22

Skor_total_

Y

Y1 Pearson

Correlation .728** .845** .825** .746** .747** .600** .806**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30

Y2 Pearson

Correlation .637** .602** .674** .670** .472** .433* .601**

Sig. (2-tailed) .000 .000 .000 .000 .008 .017 .000

N 30 30 30 30 30 30 30

Y3 Pearson

Correlation .633** .603** .673** .662** .512** .471** .736**

Sig. (2-tailed) .000 .000 .000 .000 .004 .009 .000

N 30 30 30 30 30 30 30

Y4 Pearson

Correlation .418* .528** .541** .610** .468** .283 .546**

Sig. (2-tailed) .021 .003 .002 .000 .009 .130 .002

N 30 30 30 30 30 30 30

Y5 Pearson

Correlation .729** .779** .772** .637** .830** .696** .929**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000


N 30 30 30 30 30 30 30

Y6 Pearson

Correlation .574** .613** .589** .361* .547** .653** .792**

Sig. (2-tailed) .001 .000 .001 .050 .002 .000 .000

N 30 30 30 30 30 30 30

Y7 Pearson

Correlation .645** .689** .655** .429* .617** .728** .824**

Sig. (2-tailed) .000 .000 .000 .018 .000 .000 .000

N 30 30 30 30 30 30 30

Y8 Pearson

Correlation .533** .570** .492** .332 .447* .543** .729**

Sig. (2-tailed) .002 .001 .006 .073 .013 .002 .000

N 30 30 30 30 30 30 30

Y9 Pearson

Correlation .624** .728** .677** .428* .679** .687** .843**

Sig. (2-tailed) .000 .000 .000 .018 .000 .000 .000

N 30 30 30 30 30 30 30

Y10 Pearson

Correlation .591** .692** .650** .398* .628** .681** .817**

Sig. (2-tailed) .001 .000 .000 .029 .000 .000 .000

N 30 30 30 30 30 30 30

Y11 Pearson

Correlation .725** .714** .765** .737** .802** .666** .829**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30


Y12 Pearson

Correlation .743** .730** .744** .533** .663** .609** .846**

Sig. (2-tailed) .000 .000 .000 .002 .000 .000 .000

N 30 30 30 30 30 30 30

Y13 Pearson

Correlation .725** .775** .721** .524** .661** .561** .881**

Sig. (2-tailed) .000 .000 .000 .003 .000 .001 .000

N 30 30 30 30 30 30 30

Y14 Pearson

Correlation .752** .753** .769** .576** .797** .700** .874**

Sig. (2-tailed) .000 .000 .000 .001 .000 .000 .000

N 30 30 30 30 30 30 30

Y15 Pearson

Correlation .870** .859** .848** .758** .678** .574** .905**

Sig. (2-tailed) .000 .000 .000 .000 .000 .001 .000

N 30 30 30 30 30 30 30

Y16 Pearson

Correlation .804** .796** .777** .703** .651** .566** .852**

Sig. (2-tailed) .000 .000 .000 .000 .000 .001 .000

N 30 30 30 30 30 30 30

Y17 Pearson

Correlation 1 .936** .853** .652** .690** .652** .867**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30

Y18 Pearson

Correlation .936** 1 .911** .634** .796** .697** .908**


Sig. (2-tailed) .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30

Y19 Pearson

Correlation .853** .911** 1 .636** .839** .812** .907**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30

Y20 Pearson

Correlation .652** .634** .636** 1 .547** .453* .723**

Sig. (2-tailed) .000 .000 .000 .002 .012 .000

N 30 30 30 30 30 30 30

Y21 Pearson

Correlation .690** .796** .839** .547** 1 .771** .837**

Sig. (2-tailed) .000 .000 .000 .002 .000 .000

N 30 30 30 30 30 30 30

Y22 Pearson

Correlation .652** .697** .812** .453* .771** 1 .780**

Sig. (2-tailed) .000 .000 .000 .012 .000 .000

N 30 30 30 30 30 30 30

Skor_total_Y Pearson

Correlation .867** .908** .907** .723** .837** .780** 1

Sig. (2-tailed) .000 .000 .000 .000 .000 .000

N 30 30 30 30 30 30 30

**. Correlation is significant at the 0.01 level (2-tailed).

*. Correlation is significant at the 0.05 level (2-tailed).


KUESIONER PENELITIAN

PENGARUH KAMPANYE DIGITAL L’OREAL PARIS INDONESIA

“WOMEN OF WORTH” PADA FACEBOOK TERHADAP BRAND

ENGAGEMENT

Responden yang terhormat,

Berkaitan dengan penelitian yang saya lakukan dalam rangka

menyelesaikan tugas akhir (skripsi) di Fakultas Ilmu Komunikasi Universitas

Multimedia Nusantara, yang berjudul “PENGARUH KAMPANYE DIGITAL

L’OREAL PARIS INDONESIA “WOMEN OF WORTH” PADA FACEBOOK

TERHADAP BRAND ENGAGEMENT”, saya mohon kesediaan Anda untuk

meluangkan waktu untuk mengisi atau menjawab kuesioner ini dengan jujur.

Semua jawaban Anda sangat berguna bagi penelitian saya.

Atas kerja sama yang baik, serta kesediaan dan kesungguhan Anda dalam

mengisi kuesioner, saya ucapkan terima kasih.

Nama : Margaretta Maria Riri Rosalina

NIM : 11140110049

Program Studi : Ilmu Komunikasi – Public Relations

I. Karakteristik Responden

1. Nama Responden (Akun Facebook) …………………………….

2. Usia

< 17 tahun

26 – 25 tahun

26 – 34 tahun

>34 tahun

3. Pendidikan Terakhir

SMP

SMA

Diploma


Sarjana

Lain-lain; sebutkan ……………………………...

4. Pekerjaan

Pelajar/Mahasiswa

Pegawai Negeri

Pegawai Swasta

Wiraswasta

Ibu Rumah Tangga

Lain-lain; sebutkan ……………………

5. Jenis Produk L’Oreal yang pernah digunakan atau sedang

digunakan

Perawatan Wajah ( sabun muka, pembersih wajah, night

cream, day cream, serum wajah, dan lain-lain )

Perawatan Rambut ( shampoo, conditioner, hair mask, dan

lain-lain )

Kosmetik atau alat make up ( lipstick, bedak wajah, blush

on, dan lain-lain )

II. Variabel X (Kampanye Digital L’Oreal Paris “Women of Worth”

pada Facebook)

Petunjuk Pengisian:

1. Semua pertanyaan tersedia wajib diisi sesuai atau yang mendekati

dengan keadaan Anda sekarang

2. Beri tanda √ (centang) pada tabel

Keterangan:

SS = Sangat Setuju

S = Setuju

TS = Tidak Setuju

STS = Sangat Tidak Setuju


A. Participation

No Pernyataan SS S TS STS

6 Saya ikut berpartisipasi melakukan pendaftaran

nominasi kandidat “Women of Worth”

7 Saya ikut berpartisipasi melakukan voting

kepada para kandidat “Women of Worth”

8

Saya sering mengunjungi dan membaca

informasi terkait kampanye “Women of Worth”

pada fanpage facebook L’Oreal Paris

9 Saya ikut berpartisipasi dalam acara roadshow

kampanye “Women of Worth”

B. Openness


10 Admin fanpage facebook L’Oreal Paris sering

melakukan update status

11

Saya dapat melihat informasi mengenai para

kandidat “Women of Worth” pada fanpage

facebook L’Oreal Paris

12

Saya dapat melihat informasi mengenai kegiatan

road show kampanye “Women of Worth” pada

fanpage facebook L’Oreal Paris

13

Saya mendapatkan informasi yang sangat

lengkap mengenai kampanye “Women of Worth”


14 Saya dapat memberi like pada setiap posting-an

15 Saya dapat memberikan comment pada setiap

posting-an

16 Saya dapat melakukan share terhadap setiap

posting-an


C. Conversation


17 Komentar dari saya selalu ditanggapi oleh admin


18

Pesan privat / private message yang saya

kirimkan selalu dibalas oleh admin fanpage

facebook L’Oreal Paris

19 Komentar dari saya dibalas dengan cepat oleh

admin fanpage facebook L’Oreal Paris

20

Pesan privat / private message yang saya

kirimkan dibalas dengan cepat oleh admin


D. Community


21

L’Oreal Paris melakukan update info-info terkait

kampanye “Women of Worth” secara rutin setiap

hari ke dalam komunitas fanpage facebook

L’Oreal Paris

22

L’Oreal Paris ada melakukan upload foto-foto

terkait kampanye “Women of Worth” ke dalam

komunitas fanpage facebook L’Oreal Paris

23

Saya dapat saling berbagi cerita dengan fans

lainnya mengenai masalah perempuan dalam

komunitas fanpage facebook L’Oreal Paris

24

Saya dapat saling melemparkan tanggapan atau

komentar secara langsung dengan fans lainnya

terkait konten yang di-posting oleh admin


25 Saya bergabung dalam komunitas fanpage


facebook L’Oreal Paris karena tertarik untuk

mengikuti kampanye “Women of Worth”

26

Saya bergabung dalam komunitas fanpage

facebook L’Oreal Paris karena agar mudah

menemukan informasi mengenai kampanye

“Women of Worth”

27

Saya bergabung dalam komunitas fanpage

facebook L’Oreal Paris untuk mendukung

kegiatan kampanye “Women of Worth”

E. Connectedness


28 Saya melihat ada informasi mengenai kampanye

“Women of Worth” yang berasal dari youtube

29

Saya melihat ada informasi terkait kampanye

“Women of Worth” yang berasal dari web site

resmi L’Oreal Paris (www.womenofworth.co.id)

30 Saya melihat ada informasi terkait kampanye

“Women of Worth” yang berasal dari twitter

31 Saya melihat ada foto terkait kampanye “Women

of Worth” yang berasal dari instagram

32

Saya melihat ada artikel pemberitaan terkait

kampanye “Women of Worth” yang berasal dari

situs berita online

33

Saya melihat ada artikel pemberitaan terkait

kampanye “Women of Worth” yang berasal dari

blog


http://www.womenofworth.co.id/

III. Variabel Y ( Brand Engagement )

A. Perception


34 L’Oreal Paris memiliki tagline yang simple

tetapi mempunyai makna yang indah

35 L’Oreal Paris memiliki bentuk logo yang elegan

36 L’Oreal Paris dilihat sebagai merek yang mewah

37

Motivasi yang disampaikan oleh L’Oreal Paris

untuk menghargai diri sebagai perempuan,

sangat menarik dan bagus

B. Communications


38 Saya memberi like terhadap posting-an pada


39 Saya memberikan comment terhadap posting-an


40 Saya melakukan share terhadap posting-an pada


41 Saya berbagi cerita dan pengalaman mengenai

L’Oreal Paris pada fanpage facebook

Petunjuk Pengisian:

1. Semua pertanyaan tersedia wajib diisi sesuai atau yang mendekati dengan

keadaan Anda sekarang

2. Beri tanda √ (centang) pada tabel

Keterangan:

SS = Sangat Setuju

S = Setuju

TS = Tidak Setuju

STS = Sangat Tidak Setuju


42 Saya tak segan untuk mengutarakan kritik dan

saran kepada L’Oreal Paris

43 L’Oreal Paris selalu menanggapi kritik dan saran

yang saya utarakan

44

L’Oreal Paris sering memberikan tips-tips

bermanfaat mengenai perawatan wajah atau

rambut

45 L’Oreal Paris selalu menanggapi komentar dari

saya

46 L’Oreal Paris menyapa para fans pada fanpage

facebook L’Oreal Paris setiap hari

C. Experience


47 L’Oreal Paris selalu mengadakan event / acara

yang menarik

48 Setiap event / acara yang diadakan oleh L’Oreal

Paris memiliki nilai yang positif

49 L’Oreal Paris memiliki produk yang sangat seuai

dengan kebutuhan saya sebagai perempuan

50

L’Oreal Paris sangat mengerti permasalahan

yang saya alami sebagai perempuan, khususnya

dalam hal perawatan rambut dan wajah

51 Saya merasa L’Oreal Paris pantas untuk

direkomendasikan kepada banyak orang

52 Saya menjadi semakin percaya diri setelah

menggunakan produk L’Oreal Paris

53 Saya belum pernah mendengar pemberitaan yang

buruk atau negative mengenai L’Oreal Paris


D. Promise


54 Saya akan menggunakan produk L’Oreal Paris

dalam waktu yang sangat lama

55 Saya tidak akan berpindah kepada merek lain,

selain L’Oreal Paris









Fanpage Facebook L’Oreal Paris Indonesia











Scanned by CamScannerPengaruh Kampanye..., Margaretta Maria Riri Rosalina, FIKOM UMN, 2015

Scanned by CamScannerPengaruh Kampanye..., Margaretta Maria Riri Rosalina, FIKOM UMN, 2015

CURRICULUM VITAE

Personal Identity

Name : Margaretta Maria Riri Rosalina

Place, Birth Date : Tangerang, October 16th

, 1993

Sex : Female

Nationality : Indonesia

Marital Status : Single

Address : Mahkota Tengah Street, D3/9, Modernland, Tangerang

Telephone : +62811905128

Email : [email protected]

Educational Background

2011 – Present Student in Communication – Public relations of

Multimedia Nusantara University, Gading Serpong

2008 – 2011 Tarakanita Senior High School, Gading Serpong

2005 – 2008 Tarakanita Junior High School, Gading Serpong

1999 – 2005 Tarakanita Elementary School, Gading Serpong

Working Experience

July 2014 – September 2014 Social Media Marketing at

Inapay.com

February 2013 – December 2013 Private English Course Teacher for

Junior High School


mailto:[email protected]

Organizational Experiences

2014 Publication and Documentation Staff – Mass Youth at

Hati Santa Perawan Maria Tak Bernoda (HSPMTB)

Church, Tangerang

Programe Coordinator – Training Youth Catholic

Foundation of Leadership at HSPMTB Church, Tangerang

Secretary – Drug Seminar for Youth at HSPMTB Church,

Tangerang

Fund Raising Staff – Youth Retreat at HSPMTB Church,

Tangerang

2013 – 2015 The Social Community Division of Youth Activities – at

HSPMTB Church, Tangerang

2013 Secretary – Mass Youth at HSPMTB Church, Tangerang

2012 Fund Raising Staff – Green Week Event at Multimedia

Nusantara University, Gading Serpong

Programe Coordinator – Mass Youth at HSPMTB

Church, Tangerang


Documents

kc.umn.ac.idkc.umn.ac.id/843/8/LAMPIRAN.pdfkc.umn.ac.id