LAMPIRAN - media.unpad.ac.idmedia.unpad.ac.id/thesis/120310/2014/120310140004_l_4284.pdf · KUISIONER PENELITIAN Penelitian ini dilakukan oleh Nadya Amalia Putri, mahasiswa Strata

186

LAMPIRAN

187

KUISIONER PENELITIAN

Penelitian ini dilakukan oleh Nadya Amalia Putri, mahasiswa Strata 1 di Fakultas

Ekonomi dan Bisnis Program Studi Manajemen dengan Konsentrasi Pemasaran dari Universitas

Padjadjaran, Bandung. Penelitian ini bertujuan untuk menganalisis perbandingan atribut produk

lipstik berdasarkan tiga besar Top Brand Award tahun 2015 – 2017. Responde3n dalam

penelitian ini khusus ditujukan bagi wanita yang saat ini sedang menggunakan lipstik dengan

jenis Matte Lip Cream dari Wardah, Revlon atau Pixy yang saat ini berdomisili di kota Bandung.

Berikut merupakan contoh gambar produk Matte Lip Cream dari Wardah, Pixy dan Revlon :

Informasi yang diberikan dari Anda sangat berarti bagi penelitian ini, oleh karena itu

peneliti mengharapkan kesediaan Anda untuk mengisi kuisioner ini dengan sebenar – benarnya

berdasarkan pengalaman dan apa yang dirasakan saat menggunakan Matte Lip Cream tersebut.

Informasi yang didapatkan tidak akan disebar luaskan dan penelitian ini digunakan hanya untuk

menyelesaikan skripsi sebagai salah satu syarat kelulusan memperoleh gelar Sarjana Strata Satu.

Peneliti sangat berterimakasih atas kesediaanya untuk mempermudah penyelesaian penelitian ini

dan semoga Anda pun dipermudah segala urusannya Aamiin.

Jika anda memiliki pertanyaan jangan ragu untuk menghubungi peneliti melalui kontak

dibawah ini:

Hormat Saya,

Nadya Amalia Putri

081318688320

[email protected]

*Kuisioner ini akan dibuat secara online melalui Google Forms dengan membuat tiga link yang

berbeda berdasarkan pengguna Matte Lip Cream dari merek Wardah, Revlon atau Pixy.

mailto:[email protected]

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Karakteristik Responden

1. Wanita, Usia 15 – 29 Tahun

2. Berdomisili di Kota Bandung

3. Saat ini sedang menggunakan lipstik dengan jenis Matte Lip Cream dari merek Wardah,

Revlon atau Pixy

Petunjuk Pengisian Kuisioner

1. Bacalah dengan baik setiap pertanyaan/ pernyataan dalam kuisioner ini, isilah sesuai dengan

pilihan jawaban yang telah disediakan.

2. Berilah tanda silang (X) pada kolom yang telah disediakan untuk setiap jawaban sesuai

dengan pendapat Anda.

3. Hanya ada satu jawaban yang diperkenankan untuk menjawab setiap pertanyaan/

pernyataan yang diberikan.

4. Kuisioner ini dapat digunakan dengan optimal apabila seluruh pertanyaan/ pernyataan telah

dijawab. Oleh sebab itu, peneliti memohon kesediaan responden untuk dapat menjawab

seluruh pertanyaan/ pernyataan yang ada pada kuisioner ini.

5. Jika terdapat sesuatu hal yang tidak jelas, responden dapat langsung menanyakan hal

tersebut kepada peneliti.

BAGIAN I : Data Responden (Pilih Salah Satu Jawaban)

1. Nama :

2. Usia : 15 – 19 Tahun 20 – 24 Tahun

25 – 29 Tahun

3. Nomor Handphone :

4. Email :

5. Pekerjaan : Pelajar SMP Mahasiswa

Pelajar SMA Wiraswasta

PNS Pegawai swasta

BUMN Ibu Rumah Tangga

Lainnya………

6. Pengeluaran Per Bulan : < Rp 1.000.000

Rp 1.000.000 – Rp 2.000.000

Rp 2.000.001 – Rp 3.000.000

Rp 3.000.001 – Rp 4.000.000

Rp 4.000.001 – Rp 5.000.000

> Rp 5.000.000

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7. Pengeluaran Khusus untuk Pembelian Kosmetik Per Bulan

Rp 0 – Rp 75.000

Rp 75.001 – Rp 150.000

Rp 150.001 – Rp 250.000

Rp 250.001 – Rp 350.000

> Rp 350.000

BAGIAN II : Pertanyaan Seputar Penggunaan Matte Lip Cream (Pilih Salah Satu Jawaban)

8. Merek Matte Lip Cream yang sedang Anda gunakan saat ini ?

Wardah Revlon Pixy

9. Sudah berapa lama Anda menggunakan Matte Lip Cream dengan merek ini ?

1 – 3 Bulan 4 – 6 Bulan 7 – 9 Bulan 9 – 12 Bulan > 1 Tahun

10. Sudah berapa kali Anda membeli Matte Lip Cream dengan merek ini ?

1 Kali 2 Kali 3 Kali 4 Kali > 4 Kali

11. Tingkat Warna Favorit Anda dalam memilih Matte Lip Cream ?

Terang Pucat/ Nude Gelap

12. Warna Favorit Anda dalam memilih Matte Lip Cream ?

Orange Merah Ungu Pink Cokelat

BAGIAN III : Pernyataan mengenai Atribut Produk Matte Lip Cream yang sedang digunakan

saat ini (Pilih Salah Satu Jawaban)

Keterangan Skala:

1 = Sangat Tidak Setuju

2 = Tidak Setuju

3 = Setuju

4 = Sangat Setuju

No Pernyataan Skala

1 2 3 4

Kualitas

1 Menurut saya, produk Matte Lip Cream ini memiliki tekstur yang

lembut saat diaplikasikan ke bibir.

2 Menurut saya, produk Matte Lip Cream ini terasa ringan saat digunakan

di bibir.

190

3 Menurut saya, produk Matte Lip Cream ini tidak menempel ke objek

lain, seperti gelas ataupun makanan saat digunakan untuk makan dan

minum (Transferproof).

4 Menurut saya, produk Matte Lip Cream ini memiliki warna yang mudah

keluar saat diaplikasikan ke bibir (Pigmented).

5 Menurut saya, produk Matte Lip Cream ini cepat kering setelah

diaplikasikan di bibir.

6 Menurut saya, produk Matte Lip Cream ini tahan air meskipun sudah

dipakai untuk minum ataupun berwudhu (Waterproof).

7 Menurut saya, produk Matte Lip Cream ini memiliki daya tahan warna

yang tahan lama/ awet meskipun sudah dipakai untuk beraktivitas

seharian.

No Pernyataan Skala

1 2 3 4

Fitur

1 Menurut saya, produk Matte Lip Cream ini melembabkan bibir.

2 Menurut saya, produk Matte Lip Cream ini tidak membuat bibir kering.

3 Menurut saya, produk Matte Lip Cream ini mengandung vitamin yang

menutrisi bibir.

4 Menurut saya, produk Matte Lip Cream ini memiliki aroma/ wangi

yang tidak menyengat.

5 Menurut saya, produk Matte Lip Cream ini memiliki varian warna yang

beragam.

6 Menurut saya, produk Matte Lip Cream ini memiliki pilihan warna

yang sesuai dengan warna kulit saya.

No Pernyataan Skala

1 2 3 4

Merek

1 Saya akan mengingat merek ini, apabila ingin membeli sebuah Matte

Lip Cream.

2 Menurut saya, merek dari produk Matte Lip Cream ini terkenal.

3 Menurut saya, produk Matte Lip Cream ini memiliki reputasi merek

yang baik.

191

4 Saya sudah percaya dengan merek ini.

5 Saya selalu menggunakan Matte Lip Cream dengan merek ini.

6 Saya lebih percaya diri apabila menggunakan Matte Lip Cream dengan

merek ini.

No Pernyataan Skala

1 2 3 4

Kemasan

1 Menurut saya, kemasan pada produk Matte Lip Cream ini tidak mudah

rusak.

2 Menurut saya, kemasan pada produk Matte Lip Cream ini memiliki

daya tarik bagi konsumen untuk membelinya.

3 Menurut saya, kemasan pada produk Matte Lip Cream ini memberikan

informasi seputar produk dengan jelas.

4 Menurut saya, kemasan pada produk Matte Lip Cream ini memiliki

bentuk yang mengikuti perkembangan jaman (up to date).

5 Menurut saya, kemasan pada produk Matte Lip Cream ini membuat

penggunanya menjadi lebih percaya diri saat memakainya.

6 Menurut saya, aplikator pada produk Matte Lip Cream ini memudahkan

saya saat mengaplikasikannya pada bibir.

No Pernyataan Skala

1 2 3 4

Harga

1 Menurut saya, produk Matte Lip Cream ini menawarkan harga yang

sesuai dengan manfaat yang diberikan.

2 Menurut saya, produk Matte Lip Cream ini menawarkan harga yang

sesuai dengan kualitas yang diberikan.

3 Menurut saya, produk Matte Lip Cream ini memiliki harga yang

terjangkau.

4 Menurut saya, produk Matte Lip Cream ini sering mengadakan

potongan harga (diskon).

5 Potongan harga (diskon) yang diberikan membuat saya tertarik untuk

membeli Matte Lip Cream ini.

192

Hasil Input Kuisioner Pengguna Matte Lip Cream Wardah

NO Kualitas Fitur Merek Kemasan Harga TX1 TX2 TX3 TX4 TX5

1 2 3 4 5 6 7 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5

1 4 3 2 4 3 3 2 2 2 3 3 3 3 4 4 3 4 3 3 3 3 3 3 3 3 4 4 4 4 4 21 16 21 18 20

2 4 4 3 4 3 3 3 3 2 3 3 4 3 3 4 4 3 2 3 3 3 3 3 3 3 3 3 3 4 4 24 18 19 18 17

3 3 4 2 2 3 2 2 3 2 2 4 4 3 4 4 4 3 3 2 3 3 2 4 3 2 3 3 3 3 3 18 18 20 17 15

4 3 2 3 3 2 3 3 4 1 2 3 4 3 4 4 4 3 2 3 3 4 3 4 3 3 4 4 4 2 2 19 17 20 20 16

5 4 2 2 4 3 4 3 2 2 2 4 4 4 3 4 4 3 3 4 3 3 4 3 3 3 3 3 3 2 4 22 18 21 19 15

6 2 1 1 1 1 1 1 1 1 2 1 1 1 1 3 2 1 1 1 1 1 1 1 2 2 2 2 2 3 2 8 7 9 8 11

7 3 3 3 4 4 4 3 3 3 2 4 4 4 1 4 4 3 1 2 4 2 2 2 3 3 3 3 3 3 2 24 20 15 16 14

8 3 3 3 3 4 3 3 4 2 2 3 4 3 2 3 3 3 2 3 2 3 3 3 3 4 3 3 3 4 4 22 18 16 18 17

9 3 3 2 3 3 3 3 2 3 2 3 4 4 4 3 3 3 4 3 4 3 2 3 3 3 3 3 3 2 3 20 18 20 18 14

10 4 3 3 4 3 2 2 2 2 3 3 3 4 4 4 4 4 3 3 3 4 4 4 4 4 3 3 3 3 4 21 17 22 23 16

11 4 3 3 4 3 2 2 3 3 4 4 3 4 4 4 4 4 3 3 4 3 2 4 4 4 4 4 3 3 4 21 21 22 21 18

12 4 4 3 4 3 2 2 2 2 2 3 4 4 3 4 4 4 4 4 4 3 3 3 2 3 4 4 3 4 4 22 17 23 18 19

13 3 3 4 3 4 2 2 2 1 2 4 4 4 3 3 3 3 3 3 4 2 3 4 3 4 3 3 4 3 3 21 17 18 20 16

14 4 4 1 3 3 2 2 3 3 2 4 4 4 4 3 3 3 3 3 4 3 3 4 3 4 3 3 3 3 4 19 20 19 21 16

15 4 4 3 4 3 4 2 1 1 2 3 3 3 4 4 3 4 3 3 3 4 3 3 2 4 3 3 3 4 4 24 13 21 19 17

16 3 3 2 3 4 4 2 2 2 2 3 3 3 3 3 3 3 2 3 3 3 2 2 3 3 3 3 3 3 3 21 15 17 16 15

17 3 3 2 3 3 3 2 2 1 2 3 3 4 4 4 4 3 3 3 3 4 2 3 3 3 3 3 3 3 3 19 15 21 18 15

18 4 3 2 3 3 3 3 3 1 2 3 4 4 3 4 3 4 3 3 4 3 3 4 4 4 4 4 4 3 4 21 17 20 22 19

19 3 2 3 3 4 3 3 2 2 3 4 4 4 3 4 4 3 3 3 2 3 3 3 2 3 4 4 2 3 3 21 19 20 16 16

20 3 3 3 3 4 3 3 2 1 3 4 3 3 3 4 4 4 1 2 4 3 3 4 3 4 3 4 4 3 3 22 16 18 21 17

21 4 3 2 4 2 2 2 2 3 3 3 4 4 4 4 4 4 4 3 3 4 4 4 4 4 4 4 4 4 4 19 19 23 23 20

22 4 3 2 4 2 2 3 2 2 2 4 4 4 3 4 4 4 4 4 4 3 4 4 4 4 4 4 3 4 3 20 18 23 23 18

23 2 2 2 3 3 4 4 2 1 3 4 4 4 2 4 4 3 2 1 3 4 4 4 2 2 3 3 2 3 2 20 18 16 19 13

24 3 3 2 3 3 3 3 2 2 2 3 4 3 3 3 3 3 2 2 3 3 3 3 3 3 3 3 3 3 3 20 16 16 18 15

25 4 4 2 3 4 2 3 3 1 4 4 4 4 4 4 4 4 4 4 4 2 2 3 3 4 4 4 4 4 4 22 20 24 18 20

193

26 4 4 2 4 3 2 3 4 3 3 3 4 4 4 4 4 4 3 4 3 2 3 2 4 4 3 3 3 3 3 22 21 23 18 15

27 3 3 3 4 4 3 3 2 1 2 3 4 4 3 4 4 3 2 3 3 3 3 3 3 4 2 3 2 4 3 23 16 19 19 14

28 3 2 2 4 3 2 2 2 3 3 3 4 3 3 4 4 3 3 3 4 3 3 3 3 3 3 3 4 4 3 18 18 20 19 17

29 4 4 4 4 4 4 3 2 1 2 4 3 3 2 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 1 27 15 21 24 17

30 3 4 3 3 4 3 4 3 3 3 3 4 4 4 4 4 4 3 3 3 3 3 4 4 4 4 4 4 3 4 24 20 22 21 19

31 2 2 3 4 4 2 3 1 1 1 3 3 3 2 4 3 2 2 2 3 3 3 4 3 3 4 3 3 3 3 20 12 15 19 16

32 3 3 2 3 3 2 2 1 4 2 3 3 3 3 3 4 3 2 3 3 3 3 3 3 3 3 3 4 3 3 18 16 18 18 16

33 2 3 1 3 3 2 3 1 1 2 4 4 4 1 2 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 17 16 14 18 15

34 2 2 3 3 3 4 3 1 2 1 4 2 3 1 3 3 1 1 4 4 3 3 3 2 4 3 3 3 3 3 20 13 13 19 15

35 3 3 2 4 4 3 3 2 2 3 3 4 4 3 4 4 4 2 3 4 2 3 3 2 3 3 3 3 2 4 22 18 20 17 15

36 3 3 2 3 3 3 2 3 2 3 4 3 3 2 3 3 3 2 3 3 3 2 3 3 3 2 3 2 2 3 19 18 16 17 12

37 4 3 2 4 2 3 3 2 2 3 3 3 2 4 4 4 4 3 3 3 3 3 3 3 3 4 4 4 4 4 21 15 22 18 20

38 3 3 2 4 3 2 2 2 2 2 3 4 3 3 4 3 3 2 3 3 3 2 4 3 3 3 3 3 3 4 19 16 18 18 16

39 4 2 2 4 4 2 3 2 2 2 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 4 4 4 2 4 21 18 24 21 18

40 3 3 3 3 3 3 3 2 1 2 3 3 3 3 3 3 3 4 4 3 3 2 3 3 2 3 3 3 3 3 21 14 20 16 15

41 4 4 2 4 2 2 3 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 21 23 24 24 20

42 3 3 2 3 3 2 3 3 3 2 2 3 3 4 4 4 4 2 2 3 3 3 3 3 3 4 4 4 3 4 19 16 20 18 19

43 2 2 3 3 4 3 3 2 3 1 4 4 3 3 4 3 3 2 1 3 4 3 4 3 4 4 4 4 3 3 20 17 16 21 18

44 1 2 2 1 1 1 2 1 2 2 1 4 1 2 1 3 3 1 1 1 1 4 1 2 3 1 3 1 1 1 10 11 11 12 7

45 3 3 2 3 3 2 2 2 2 2 2 3 3 3 3 3 3 2 3 3 3 2 3 3 3 3 3 3 3 3 18 14 17 17 15

46 2 3 3 4 4 2 3 2 3 3 4 4 4 4 3 4 4 3 3 4 3 2 3 4 4 4 4 4 4 4 21 20 21 20 20

47 3 2 2 4 4 3 3 3 1 2 4 4 4 3 4 3 2 3 3 4 3 3 3 3 2 3 3 4 2 4 21 18 18 18 16

48 3 3 2 3 4 3 3 3 4 3 4 4 3 3 4 3 4 3 3 3 3 3 3 3 3 3 4 3 3 3 21 21 20 18 16

49 4 3 2 3 3 3 2 2 3 2 3 4 4 3 4 4 4 3 4 4 3 2 3 3 4 4 3 3 4 3 20 18 22 19 17

50 1 2 1 1 1 1 2 1 2 1 1 1 1 1 1 4 3 3 2 4 2 4 2 3 2 4 4 4 3 3 9 7 14 17 18

51 2 1 3 4 4 2 2 1 2 1 4 4 4 2 4 4 3 2 2 3 3 2 3 2 2 3 3 4 4 4 18 16 17 15 18

52 2 2 4 3 3 4 4 3 2 2 3 4 4 3 4 4 4 2 4 3 3 4 4 4 4 4 4 4 2 3 22 18 21 22 17

53 3 3 3 3 3 3 1 2 2 3 3 4 3 2 4 4 4 3 2 3 3 2 3 3 3 3 2 3 3 2 19 17 19 17 13

54 3 4 2 4 3 3 3 2 3 2 4 4 2 4 4 4 4 3 4 4 3 3 3 4 4 3 3 3 3 4 22 17 23 21 16

194

55 3 3 3 3 4 3 2 2 2 2 3 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 21 17 18 18 18

56 3 3 3 3 3 3 3 2 2 2 3 3 3 3 3 2 3 2 3 3 3 3 3 3 3 2 3 2 3 3 21 15 16 18 13

57 3 3 4 3 4 4 4 3 2 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 25 19 24 24 19

58 2 1 1 4 3 1 2 2 2 2 2 2 3 2 4 3 3 3 3 2 4 3 3 3 2 2 3 3 3 3 14 13 18 17 14

59 3 3 4 2 4 3 2 3 3 3 3 4 2 4 4 3 4 2 3 3 3 3 3 3 4 4 3 3 3 4 21 18 20 19 17

60 3 3 3 3 3 3 1 2 2 2 3 3 3 2 3 4 2 3 2 3 3 3 4 3 3 3 3 3 3 3 19 15 16 19 15

195

Hasil Input Kuisioner Pengguna Matte Lip Cream Revlon


1 2 3 4 5 6 7 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5

1 3 4 2 4 3 1 2 2 2 1 3 4 3 3 2 3 3 2 4 4 2 3 3 3 4 4 3 4 2 2 19 15 17 19 15

2 4 3 4 3 3 2 3 3 2 2 2 3 3 3 3 3 3 3 3 4 3 3 3 3 3 3 3 3 3 3 22 15 18 19 15

3 4 3 2 4 2 3 3 3 3 2 3 4 4 4 4 4 3 2 3 3 3 3 4 3 4 3 4 3 2 3 21 19 20 20 15

4 4 3 2 4 2 3 3 3 3 3 3 2 2 3 4 4 3 2 3 4 4 4 4 3 3 3 4 2 3 2 21 16 19 22 14

5 4 3 2 3 3 3 3 3 2 2 3 3 3 4 4 4 4 3 3 3 3 3 3 3 4 4 3 3 2 2 21 16 22 19 14

6 4 3 1 4 2 1 1 2 3 2 2 4 3 1 2 2 1 2 1 4 4 2 4 4 3 2 2 3 4 4 16 16 9 21 15

7 3 3 2 4 2 3 3 3 3 4 4 3 3 3 3 2 2 2 3 3 3 3 4 3 4 3 3 3 2 3 20 20 15 20 14

8 3 3 2 3 2 2 3 3 4 4 3 3 3 2 2 3 3 2 2 3 3 2 3 3 3 3 3 3 4 4 18 20 14 17 17

9 4 4 3 4 2 3 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 24 23 24 24 18

10 4 4 2 4 3 3 4 4 1 3 4 4 3 4 4 4 4 2 3 4 4 4 4 4 4 4 4 3 4 4 24 19 21 24 19

11 4 3 3 3 3 3 3 3 4 3 4 3 3 4 4 4 3 2 2 4 4 4 4 4 4 3 3 1 2 3 22 20 19 24 12

12 3 4 2 3 2 3 4 3 4 3 4 3 3 3 3 3 4 3 4 2 3 2 3 3 4 3 4 4 2 4 21 20 20 17 17

13 4 4 2 4 2 3 4 4 4 3 4 4 4 4 4 4 4 3 3 4 4 3 3 4 4 4 4 4 2 4 23 23 22 22 18

14 3 3 1 4 1 1 3 3 3 2 2 2 2 1 2 3 3 1 1 4 3 2 3 2 3 3 3 3 2 2 16 14 11 17 13

15 4 4 1 3 2 2 3 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 2 2 2 2 2 19 20 18 19 10

16 3 4 3 4 3 2 3 4 4 3 3 4 4 3 4 3 4 4 4 4 4 3 4 3 3 4 4 3 3 4 22 22 22 21 18

17 2 4 1 3 2 3 2 3 4 3 4 4 4 3 4 4 3 2 3 3 3 3 4 3 4 4 3 3 3 2 17 22 19 20 15

18 4 3 2 3 3 3 3 3 3 2 3 3 4 3 4 4 3 2 3 3 3 3 3 3 3 3 3 3 2 3 21 18 19 18 14

19 3 3 1 2 2 2 2 4 4 4 3 3 4 4 4 4 4 3 3 3 3 3 2 3 3 3 3 2 3 4 15 22 22 17 15

20 4 3 1 4 1 1 1 4 4 4 4 3 3 2 4 4 2 1 1 4 4 4 4 3 3 1 1 1 3 3 15 22 14 22 9

21 3 3 3 4 2 4 4 2 3 2 3 3 4 4 3 3 3 2 3 3 3 2 3 3 4 4 4 3 2 4 23 17 18 18 17

22 3 4 3 3 3 4 4 3 4 3 3 4 4 3 3 4 3 4 4 3 3 3 3 4 4 3 4 4 3 3 24 21 21 20 17

23 3 2 3 3 2 3 2 2 2 2 3 3 3 3 3 3 2 1 2 4 4 3 4 4 2 3 3 2 2 3 18 15 14 21 13

24 4 3 3 3 2 3 3 3 3 2 3 3 3 2 4 3 3 2 3 3 3 3 3 3 3 3 3 4 3 3 21 17 17 18 16

25 3 2 3 2 4 2 2 2 2 3 2 2 2 3 2 2 2 3 2 3 3 3 3 3 3 3 3 3 3 3 18 13 14 18 15

196

26 3 4 3 3 2 4 4 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 4 23 16 18 18 14

27 2 4 2 4 1 2 3 4 4 4 4 4 4 3 3 3 3 2 3 3 2 3 3 3 3 3 3 3 3 3 18 24 17 17 15

28 4 2 3 4 2 4 3 2 2 2 3 1 4 2 4 4 4 1 1 3 2 3 3 3 4 3 3 2 1 1 22 14 16 18 10

29 3 3 3 4 3 3 3 3 3 3 3 3 4 3 4 4 4 1 4 4 3 2 3 4 4 3 3 3 2 3 22 19 20 20 14

30 4 3 3 4 2 3 2 2 3 3 3 4 4 2 3 3 3 2 3 3 3 2 3 3 4 3 2 3 2 2 21 19 16 18 12

31 3 3 2 3 2 2 2 3 3 3 3 4 4 4 4 4 4 3 3 3 4 3 4 3 3 3 3 3 3 3 17 20 22 20 15

32 3 3 2 3 2 1 3 3 4 3 4 3 2 3 4 3 3 1 3 4 3 3 3 3 3 3 3 3 2 2 17 19 17 19 13

33 3 3 1 3 2 1 1 3 3 2 3 3 2 3 3 3 2 2 3 3 3 3 3 2 4 3 3 2 3 4 14 16 16 18 15

34 4 3 1 1 2 2 2 3 3 2 3 1 2 1 4 4 2 1 1 4 4 2 4 4 4 2 2 1 2 3 15 14 13 22 10

35 3 3 1 3 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 2 3 16 17 18 17 14

36 4 3 2 3 3 3 3 3 3 3 3 3 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 21 18 19 18 15

37 3 3 2 4 3 3 3 3 3 2 3 2 3 3 3 3 3 2 2 3 3 3 3 3 3 3 3 2 3 4 21 16 16 18 15

38 4 3 3 3 2 4 4 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 4 2 1 4 23 22 24 22 14

39 3 3 2 4 2 3 3 2 2 3 3 4 4 2 3 4 3 2 1 4 3 3 4 3 4 3 3 3 3 4 20 18 15 21 16

40 4 3 2 4 3 3 3 3 3 3 3 4 3 3 3 4 4 3 3 3 3 3 4 3 3 3 3 3 4 3 22 19 20 19 16

41 4 2 2 3 3 2 3 2 2 1 3 2 3 2 4 3 2 1 2 3 2 2 3 2 3 3 3 3 2 2 19 13 14 15 13

42 4 2 1 3 1 1 1 4 4 3 3 4 4 1 4 3 4 3 2 4 4 4 4 4 4 1 1 1 1 1 13 22 17 24 5

43 3 3 2 3 2 3 3 2 2 3 3 4 4 4 4 4 4 4 3 4 4 3 3 3 3 3 3 2 2 2 19 18 23 20 12

44 4 3 2 3 3 3 3 3 2 2 3 3 4 3 4 4 4 2 3 3 3 3 4 3 3 3 4 3 4 4 21 17 20 19 18

45 4 4 3 4 4 3 4 4 4 4 4 4 4 4 3 4 4 4 4 3 4 4 4 3 4 4 4 4 4 4 26 24 23 22 20

46 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 22 18 18 18 15

47 3 3 2 3 2 2 2 3 3 3 1 3 4 4 3 3 3 2 3 3 2 2 3 3 4 3 3 2 3 3 17 17 18 17 14

48 3 4 2 3 3 2 2 3 3 3 3 2 3 3 3 3 3 2 2 3 3 3 2 4 3 2 3 3 2 4 19 17 16 18 14

49 3 3 2 3 2 3 3 2 2 3 3 3 3 3 4 3 3 2 2 4 3 3 3 2 3 3 3 3 2 2 19 16 17 18 13

50 4 3 2 3 1 3 2 4 3 3 2 3 3 3 3 2 3 2 3 3 3 3 4 3 4 3 3 2 4 4 18 18 16 20 16

51 4 2 3 3 3 2 3 1 1 1 2 3 3 3 3 4 4 2 2 3 4 3 4 4 3 3 3 3 2 3 20 11 18 21 14

52 4 4 2 2 1 2 3 4 4 3 2 3 4 4 4 4 3 2 2 4 4 4 3 4 3 3 3 3 2 2 18 20 19 22 13

53 4 4 3 4 4 3 3 3 4 3 4 4 3 4 4 4 4 2 4 2 4 4 4 4 4 4 4 3 2 3 25 21 22 22 16

54 4 4 3 4 4 2 4 3 2 2 3 4 4 4 4 3 4 2 4 4 4 4 4 4 4 3 3 3 3 4 25 18 21 24 16

197

55 3 3 4 4 2 2 4 2 3 1 4 4 4 3 2 3 4 2 4 4 4 4 4 4 4 3 3 3 2 4 22 18 18 24 15

56 3 2 3 3 3 3 2 2 2 3 3 2 4 2 3 3 3 3 2 3 3 2 3 2 2 3 3 3 3 2 19 16 16 15 14

57 4 4 3 4 2 3 3 3 3 3 4 3 4 4 4 3 4 2 1 4 3 2 3 3 4 3 3 3 4 3 23 20 18 19 16

58 1 1 1 1 1 1 2 2 3 2 2 3 3 2 2 3 2 2 3 2 3 3 3 3 3 3 3 2 2 2 8 15 14 17 12

59 3 4 2 3 2 2 3 3 3 3 4 2 3 4 4 4 4 2 3 3 3 3 4 3 3 3 3 3 2 3 19 18 21 19 14

60 4 3 2 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 2 3 19 18 18 14 14

198

Hasil Input Kuisioner Pengguna Matte Lip Cream Pixy


1 2 3 4 5 6 7 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5

1 4 4 3 4 3 2 2 2 2 3 3 4 4 3 4 3 3 2 2 3 3 3 3 3 3 3 3 3 3 3 22 18 17 18 15

2 4 2 2 3 3 3 2 2 2 2 4 4 4 4 3 4 4 4 4 4 4 4 3 3 3 4 4 4 2 3 19 18 23 21 17

3 3 4 3 4 3 2 2 2 2 2 4 4 4 3 3 3 3 2 3 3 2 3 3 2 3 4 4 4 4 3 21 18 17 16 19

4 3 4 3 4 3 3 3 3 4 3 3 4 4 3 3 4 4 1 2 3 1 2 1 1 3 4 4 4 3 3 23 21 17 11 18

5 3 3 4 4 4 4 4 3 3 2 3 3 4 4 3 3 3 3 3 3 3 3 3 3 3 4 3 4 3 3 26 18 19 18 17

6 4 3 3 3 4 2 4 3 2 2 3 3 3 3 3 3 3 2 3 3 2 2 2 2 3 3 3 3 2 3 23 16 17 14 14

7 3 4 4 4 3 3 3 2 2 2 3 3 3 3 3 3 3 2 2 3 3 4 4 4 4 3 3 3 3 3 24 15 16 22 15

8 3 3 4 3 4 3 3 2 2 3 3 3 4 2 3 3 4 3 4 4 4 3 3 4 4 4 4 4 4 4 23 17 19 22 20

9 4 4 4 3 3 2 2 2 3 2 3 2 3 3 3 3 3 1 2 3 1 3 2 2 3 3 3 4 2 3 22 15 15 14 15

10 3 4 4 3 3 4 3 3 4 3 4 4 4 3 4 3 3 3 2 3 2 3 3 3 4 4 4 4 4 4 24 22 18 18 20

11 4 4 3 4 2 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 4 4 4 4 4 24 24 24 22 20

12 3 2 3 4 4 3 3 3 4 2 4 3 3 3 4 4 3 3 3 3 3 4 3 2 2 4 3 4 3 4 22 19 20 17 18

13 4 3 3 4 4 3 3 3 3 3 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 3 24 15 18 18 19

14 3 3 4 2 2 2 3 2 2 2 3 2 2 2 3 3 2 3 2 2 3 3 3 4 4 3 3 3 3 3 19 13 15 19 15

15 4 3 3 4 3 3 3 2 2 3 3 3 3 2 4 4 3 1 1 3 2 2 2 2 3 4 4 4 3 4 23 16 15 14 19

16 4 4 1 4 3 2 3 2 2 2 4 3 4 4 3 3 3 3 3 3 4 3 3 3 3 4 4 4 2 3 21 17 19 19 17

17 3 4 3 4 4 3 3 4 4 3 2 2 3 4 3 2 3 2 2 2 1 2 1 2 3 3 3 3 2 1 24 18 16 11 12

18 4 4 3 3 4 3 2 4 3 2 3 3 3 3 3 3 3 2 2 3 3 2 3 2 3 3 3 3 2 3 23 18 16 16 14

19 4 4 4 4 4 3 3 2 3 3 4 4 4 4 3 3 4 3 3 4 3 3 3 3 4 4 4 4 2 4 26 20 20 20 18

20 4 4 2 3 3 2 2 3 3 3 4 4 4 3 2 2 3 3 2 4 4 3 4 3 4 4 3 3 1 4 20 21 15 22 15

21 4 4 3 4 2 2 4 2 3 3 4 4 4 4 3 4 4 4 4 4 4 4 4 4 3 3 4 4 3 4 23 20 23 23 18

22 4 4 2 3 1 2 2 3 3 3 4 4 4 3 2 2 3 3 2 4 4 3 4 3 4 4 3 3 1 4 18 21 15 22 15

23 3 4 3 4 3 3 4 3 3 3 3 4 4 4 3 4 4 4 3 3 3 4 3 3 4 4 4 4 3 4 24 20 22 20 19

24 4 4 2 3 3 3 3 2 2 2 3 3 4 4 2 2 2 3 2 3 4 2 4 4 4 4 4 4 3 4 22 16 15 21 19

25 3 3 2 3 4 2 2 2 2 3 4 3 3 3 4 3 2 1 1 3 3 2 3 2 3 3 3 2 2 3 19 17 14 16 13

199

26 4 4 3 2 3 4 2 3 3 2 3 4 3 2 3 2 3 3 2 4 2 3 4 3 4 3 3 4 2 1 22 18 15 20 13

27 3 3 2 3 4 2 2 2 3 2 3 3 2 4 3 3 2 3 2 4 4 4 3 2 3 3 3 3 3 3 19 15 17 20 15

28 4 4 3 4 3 3 3 4 4 3 4 3 3 4 4 4 3 3 3 3 3 3 2 3 4 4 4 4 4 3 24 21 21 18 19

29 3 3 2 4 4 2 2 2 2 2 4 3 4 4 4 4 3 2 2 4 3 3 3 3 4 4 4 4 2 3 20 17 19 20 17

30 3 3 3 3 4 2 2 2 2 3 3 3 3 3 4 4 3 2 3 3 3 3 3 3 3 4 3 3 3 4 20 16 19 18 17

31 2 2 1 3 2 1 1 1 1 1 2 3 3 2 2 2 2 3 3 3 2 2 3 2 3 2 3 3 3 3 12 11 14 15 14

32 2 4 3 3 4 3 2 1 3 2 4 4 4 4 4 4 4 3 3 4 4 4 2 2 4 4 4 4 4 4 21 18 22 20 20

33 3 4 4 3 4 3 4 2 2 2 4 4 4 4 4 4 4 3 4 4 4 3 2 4 4 3 4 3 2 3 25 18 23 21 15

34 2 2 3 3 4 3 2 1 1 2 3 3 3 2 3 3 3 3 2 3 3 3 3 2 3 4 2 4 3 3 19 13 16 17 16

35 4 4 3 3 3 4 4 3 2 2 4 4 4 2 3 3 3 2 3 4 3 3 3 4 4 4 4 4 4 4 25 19 16 21 20

36 4 3 4 3 4 4 1 1 1 2 4 4 4 3 4 4 2 2 2 4 4 2 2 2 3 3 3 3 2 1 23 16 17 17 12

37 4 4 3 4 3 4 4 3 3 3 3 4 4 3 4 4 4 3 3 4 4 4 3 3 4 4 4 4 3 4 26 20 21 22 19

38 3 3 2 3 3 3 2 2 1 2 3 4 4 2 3 3 2 3 2 3 2 3 3 2 3 2 2 3 2 2 19 16 15 16 11

39 3 3 2 3 2 2 3 2 2 2 3 4 4 4 4 3 3 2 3 4 4 3 4 4 4 4 4 4 2 4 18 17 19 23 18

40 4 4 4 3 3 4 4 2 3 3 3 2 3 4 4 4 4 4 4 2 2 3 3 2 3 4 4 4 3 4 26 16 24 15 19

41 4 4 2 4 3 3 3 3 3 2 3 2 3 3 2 2 2 2 2 3 2 2 2 2 3 3 3 3 1 2 23 16 13 14 12

42 3 4 3 3 3 3 4 3 4 3 4 4 4 3 4 4 4 2 3 1 4 4 4 2 4 4 4 4 3 3 23 22 20 19 18

43 3 3 2 2 3 2 3 3 2 2 2 4 4 4 3 3 3 4 4 4 3 3 3 3 4 4 4 3 3 4 18 17 21 20 18

44 3 3 2 4 4 3 3 2 2 2 3 4 4 3 3 3 3 2 3 4 4 4 4 3 4 3 4 4 2 4 22 17 17 23 17

45 4 3 3 4 4 3 4 2 2 3 3 4 3 4 4 3 3 2 2 3 3 3 3 3 3 3 3 3 4 4 25 17 18 18 17

46 3 2 2 3 3 2 3 2 2 2 3 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 18 15 17 18 15

47 4 3 3 4 2 4 3 2 3 2 4 4 4 4 3 3 4 3 3 4 3 3 4 3 4 4 4 4 3 3 23 19 20 21 18

48 3 3 2 3 4 2 3 2 2 2 4 3 4 3 3 3 3 3 3 3 3 2 3 2 3 3 3 3 2 2 20 17 18 16 13

49 4 4 3 4 2 3 2 2 3 2 2 4 2 3 3 3 2 2 2 3 1 2 2 1 4 4 3 4 2 4 22 15 15 13 17

50 4 4 3 4 3 2 3 3 3 3 3 4 3 4 4 4 4 4 3 4 3 3 4 3 3 4 4 4 4 4 23 19 23 20 20

51 3 3 2 3 2 3 2 3 2 4 3 3 3 3 4 4 4 4 3 3 3 3 3 3 3 3 3 3 2 3 18 18 22 18 14

52 2 3 2 3 3 2 2 1 2 3 3 3 4 3 3 3 2 2 2 3 3 3 3 3 3 3 4 4 3 3 17 16 15 18 17

53 4 3 3 4 4 3 3 2 2 2 4 3 3 4 3 3 3 3 2 4 3 3 3 3 3 4 4 4 4 3 24 16 18 19 19

54 4 3 1 3 4 1 2 2 3 1 4 4 4 3 4 4 4 4 4 4 3 3 3 2 4 4 3 3 3 4 18 18 23 19 17

200

55 4 3 3 3 3 2 3 2 2 2 2 2 2 4 4 4 3 2 3 3 3 3 4 4 4 4 3 4 3 3 21 12 20 21 17

56 3 3 3 4 3 2 3 3 3 3 3 4 4 3 4 4 4 2 3 4 3 3 3 3 2 3 3 3 2 3 21 20 20 18 14

57 4 4 2 3 3 2 2 3 3 2 4 4 4 3 4 3 4 3 3 2 2 3 2 3 4 4 4 4 3 2 20 20 20 16 17

58 4 3 1 3 3 3 3 2 3 2 4 4 4 3 4 3 3 2 3 4 3 3 2 3 3 4 4 4 3 3 20 19 18 18 18

59 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 3 4 4 4 2 3 8 7 6 11 17

60 2 2 2 3 1 3 3 4 4 2 3 3 4 3 4 4 4 3 3 3 3 3 4 4 2 4 3 2 3 2 16 20 21 19 14

201

Successive Interval Kuisioner Pengguna Matte Lip Cream Wardah

NO Kualitas Fitur Merek Kemasan Harga

1 2 3 4 5 6 7 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5

1 4.386 3.178 2.320 3.999 2.762 3.302 2.306 2.324 2.227 3.775 2.663 2.376 2.527 3.898 3.748 2.403 4.135 3.202 2.940 2.821 3.130 3.578 2.895 2.459 2.248 4.483 4.254 4.483 4.646 4.163

2 4.386 4.511 3.501 3.999 2.762 3.302 3.591 3.461 2.227 3.775 2.663 3.797 2.527 2.708 3.748 3.896 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 3.116 4.646 4.163

3 3.091 4.511 2.320 1.557 2.762 2.194 2.306 3.461 2.227 2.457 4.059 3.797 2.527 3.898 3.748 3.896 2.730 3.202 1.879 2.821 3.130 2.339 4.318 2.459 1.000 3.088 2.723 3.116 3.279 2.811

4 3.091 2.022 3.501 2.589 1.717 3.302 3.591 4.494 1.000 2.457 2.663 3.797 2.527 3.898 3.748 3.896 2.730 2.129 2.940 2.821 4.627 3.578 4.318 2.459 2.248 4.483 4.254 4.483 2.049 1.765

5 4.386 2.022 2.320 3.999 2.762 4.494 3.591 2.324 2.227 2.457 4.059 3.797 3.887 2.708 3.748 3.896 2.730 3.202 4.251 2.821 3.130 4.887 2.895 2.459 2.248 3.088 2.723 3.116 2.049 4.163

6 1.993 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 2.457 1.000 1.000 1.000 1.000 2.279 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.879 1.000 1.941 3.279 1.765

7 3.091 3.178 3.501 3.999 4.121 4.494 3.591 3.461 3.280 2.457 4.059 3.797 3.887 1.000 3.748 3.896 2.730 1.000 1.879 4.254 1.817 2.339 1.708 2.459 2.248 3.088 2.723 3.116 3.279 1.765

8 3.091 3.178 3.501 2.589 4.121 3.302 3.591 4.494 2.227 2.457 2.663 3.797 2.527 1.853 2.279 2.403 2.730 2.129 2.940 1.645 3.130 3.578 2.895 2.459 3.580 3.088 2.723 3.116 4.646 4.163

9 3.091 3.178 2.320 2.589 2.762 3.302 3.591 2.324 3.280 2.457 2.663 3.797 3.887 3.898 2.279 2.403 2.730 4.394 2.940 4.254 3.130 2.339 2.895 2.459 2.248 3.088 2.723 3.116 2.049 2.811

10 4.386 3.178 3.501 3.999 2.762 2.194 2.306 2.324 2.227 3.775 2.663 2.376 3.887 3.898 3.748 3.896 4.135 3.202 2.940 2.821 4.627 4.887 4.318 3.909 3.580 3.088 2.723 3.116 3.279 4.163

11 4.386 3.178 3.501 3.999 2.762 2.194 2.306 3.461 3.280 5.067 4.059 2.376 3.887 3.898 3.748 3.896 4.135 3.202 2.940 4.254 3.130 2.339 4.318 3.909 3.580 4.483 4.254 3.116 3.279 4.163

12 4.386 4.511 3.501 3.999 2.762 2.194 2.306 2.324 2.227 2.457 2.663 3.797 3.887 2.708 3.748 3.896 4.135 4.394 4.251 4.254 3.130 3.578 2.895 1.000 2.248 4.483 4.254 3.116 4.646 4.163

13 3.091 3.178 4.680 2.589 4.121 2.194 2.306 2.324 1.000 2.457 4.059 3.797 3.887 2.708 2.279 2.403 2.730 3.202 2.940 4.254 1.817 3.578 4.318 2.459 3.580 3.088 2.723 4.483 3.279 2.811

14 4.386 4.511 1.000 2.589 2.762 2.194 2.306 3.461 3.280 2.457 4.059 3.797 3.887 3.898 2.279 2.403 2.730 3.202 2.940 4.254 3.130 3.578 4.318 2.459 3.580 3.088 2.723 3.116 3.279 4.163

15 4.386 4.511 3.501 3.999 2.762 4.494 2.306 1.000 1.000 2.457 2.663 2.376 2.527 3.898 3.748 2.403 4.135 3.202 2.940 2.821 4.627 3.578 2.895 1.000 3.580 3.088 2.723 3.116 4.646 4.163

16 3.091 3.178 2.320 2.589 4.121 4.494 2.306 2.324 2.227 2.457 2.663 2.376 2.527 2.708 2.279 2.403 2.730 2.129 2.940 2.821 3.130 2.339 1.708 2.459 2.248 3.088 2.723 3.116 3.279 2.811

17 3.091 3.178 2.320 2.589 2.762 3.302 2.306 2.324 1.000 2.457 2.663 2.376 3.887 3.898 3.748 3.896 2.730 3.202 2.940 2.821 4.627 2.339 2.895 2.459 2.248 3.088 2.723 3.116 3.279 2.811

18 4.386 3.178 2.320 2.589 2.762 3.302 3.591 3.461 1.000 2.457 2.663 3.797 3.887 2.708 3.748 2.403 4.135 3.202 2.940 4.254 3.130 3.578 4.318 3.909 3.580 4.483 4.254 4.483 3.279 4.163

19 3.091 2.022 3.501 2.589 4.121 3.302 3.591 2.324 2.227 3.775 4.059 3.797 3.887 2.708 3.748 3.896 2.730 3.202 2.940 1.645 3.130 3.578 2.895 1.000 2.248 4.483 4.254 1.941 3.279 2.811

20 3.091 3.178 3.501 2.589 4.121 3.302 3.591 2.324 1.000 3.775 4.059 2.376 2.527 2.708 3.748 3.896 4.135 1.000 1.879 4.254 3.130 3.578 4.318 2.459 3.580 3.088 4.254 4.483 3.279 2.811

21 4.386 3.178 2.320 3.999 1.717 2.194 2.306 2.324 3.280 3.775 2.663 3.797 3.887 3.898 3.748 3.896 4.135 4.394 2.940 2.821 4.627 4.887 4.318 3.909 3.580 4.483 4.254 4.483 4.646 4.163

22 4.386 3.178 2.320 3.999 1.717 2.194 3.591 2.324 2.227 2.457 4.059 3.797 3.887 2.708 3.748 3.896 4.135 4.394 4.251 4.254 3.130 4.887 4.318 3.909 3.580 4.483 4.254 3.116 4.646 2.811

23 1.993 2.022 2.320 2.589 2.762 4.494 5.002 2.324 1.000 3.775 4.059 3.797 3.887 1.853 3.748 3.896 2.730 2.129 1.000 2.821 4.627 4.887 4.318 1.000 1.000 3.088 2.723 1.941 3.279 1.765

24 3.091 3.178 2.320 2.589 2.762 3.302 3.591 2.324 2.227 2.457 2.663 3.797 2.527 2.708 2.279 2.403 2.730 2.129 1.879 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 3.116 3.279 2.811

25 4.386 4.511 2.320 2.589 4.121 2.194 3.591 3.461 1.000 5.067 4.059 3.797 3.887 3.898 3.748 3.896 4.135 4.394 4.251 4.254 1.817 2.339 2.895 2.459 3.580 4.483 4.254 4.483 4.646 4.163

26 4.386 4.511 2.320 3.999 2.762 2.194 3.591 4.494 3.280 3.775 2.663 3.797 3.887 3.898 3.748 3.896 4.135 3.202 4.251 2.821 1.817 3.578 1.708 3.909 3.580 3.088 2.723 3.116 3.279 2.811

27 3.091 3.178 3.501 3.999 4.121 3.302 3.591 2.324 1.000 2.457 2.663 3.797 3.887 2.708 3.748 3.896 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 3.580 1.879 2.723 1.941 4.646 2.811

28 3.091 2.022 2.320 3.999 2.762 2.194 2.306 2.324 3.280 3.775 2.663 3.797 2.527 2.708 3.748 3.896 2.730 3.202 2.940 4.254 3.130 3.578 2.895 2.459 2.248 3.088 2.723 4.483 4.646 2.811

29 4.386 4.511 4.680 3.999 4.121 4.494 3.591 2.324 1.000 2.457 4.059 2.376 2.527 1.853 3.748 3.896 4.135 3.202 4.251 4.254 4.627 4.887 4.318 3.909 3.580 4.483 4.254 4.483 4.646 1.000

30 3.091 4.511 3.501 2.589 4.121 3.302 5.002 3.461 3.280 3.775 2.663 3.797 3.887 3.898 3.748 3.896 4.135 3.202 2.940 2.821 3.130 3.578 4.318 3.909 3.580 4.483 4.254 4.483 3.279 4.163

31 1.993 2.022 3.501 3.999 4.121 2.194 3.591 1.000 1.000 1.000 2.663 2.376 2.527 1.853 3.748 2.403 1.645 2.129 1.879 2.821 3.130 3.578 4.318 2.459 2.248 4.483 2.723 3.116 3.279 2.811

32 3.091 3.178 2.320 2.589 2.762 2.194 2.306 1.000 4.334 2.457 2.663 2.376 2.527 2.708 2.279 3.896 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 4.483 3.279 2.811

33 1.993 3.178 1.000 2.589 2.762 2.194 3.591 1.000 1.000 2.457 4.059 3.797 3.887 1.000 1.493 2.403 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 3.116 3.279 2.811

34 1.993 2.022 3.501 2.589 2.762 4.494 3.591 1.000 2.227 1.000 4.059 1.575 2.527 1.000 2.279 2.403 1.000 1.000 4.251 4.254 3.130 3.578 2.895 1.000 3.580 3.088 2.723 3.116 3.279 2.811

35 3.091 3.178 2.320 3.999 4.121 3.302 3.591 2.324 2.227 3.775 2.663 3.797 3.887 2.708 3.748 3.896 4.135 2.129 2.940 4.254 1.817 3.578 2.895 1.000 2.248 3.088 2.723 3.116 2.049 4.163

36 3.091 3.178 2.320 2.589 2.762 3.302 2.306 3.461 2.227 3.775 4.059 2.376 2.527 1.853 2.279 2.403 2.730 2.129 2.940 2.821 3.130 2.339 2.895 2.459 2.248 1.879 2.723 1.941 2.049 2.811

37 4.386 3.178 2.320 3.999 1.717 3.302 3.591 2.324 2.227 3.775 2.663 2.376 1.615 3.898 3.748 3.896 4.135 3.202 2.940 2.821 3.130 3.578 2.895 2.459 2.248 4.483 4.254 4.483 4.646 4.163

38 3.091 3.178 2.320 3.999 2.762 2.194 2.306 2.324 2.227 2.457 2.663 3.797 2.527 2.708 3.748 2.403 2.730 2.129 2.940 2.821 3.130 2.339 4.318 2.459 2.248 3.088 2.723 3.116 3.279 4.163

39 4.386 2.022 2.320 3.999 4.121 2.194 3.591 2.324 2.227 2.457 4.059 3.797 3.887 3.898 3.748 3.896 4.135 4.394 4.251 4.254 4.627 4.887 2.895 2.459 2.248 4.483 4.254 4.483 2.049 4.163

40 3.091 3.178 3.501 2.589 2.762 3.302 3.591 2.324 1.000 2.457 2.663 2.376 2.527 2.708 2.279 2.403 2.730 4.394 4.251 2.821 3.130 2.339 2.895 2.459 1.000 3.088 2.723 3.116 3.279 2.811

41 4.386 4.511 2.320 3.999 1.717 2.194 3.591 4.494 4.334 3.775 4.059 3.797 3.887 3.898 3.748 3.896 4.135 4.394 4.251 4.254 4.627 4.887 4.318 3.909 3.580 4.483 4.254 4.483 4.646 4.163

42 3.091 3.178 2.320 2.589 2.762 2.194 3.591 3.461 3.280 2.457 1.615 2.376 2.527 3.898 3.748 3.896 4.135 2.129 1.879 2.821 3.130 3.578 2.895 2.459 2.248 4.483 4.254 4.483 3.279 4.163

43 1.993 2.022 3.501 2.589 4.121 3.302 3.591 2.324 3.280 1.000 4.059 3.797 2.527 2.708 3.748 2.403 2.730 2.129 1.000 2.821 4.627 3.578 4.318 2.459 3.580 4.483 4.254 4.483 3.279 2.811

44 1.000 2.022 2.320 1.000 1.000 1.000 2.306 1.000 2.227 2.457 1.000 3.797 1.000 1.853 1.000 2.403 2.730 1.000 1.000 1.000 1.000 4.887 1.000 1.000 2.248 1.000 2.723 1.000 1.000 1.000

45 3.091 3.178 2.320 2.589 2.762 2.194 2.306 2.324 2.227 2.457 1.615 2.376 2.527 2.708 2.279 2.403 2.730 2.129 2.940 2.821 3.130 2.339 2.895 2.459 2.248 3.088 2.723 3.116 3.279 2.811

46 1.993 3.178 3.501 3.999 4.121 2.194 3.591 2.324 3.280 3.775 4.059 3.797 3.887 3.898 2.279 3.896 4.135 3.202 2.940 4.254 3.130 2.339 2.895 3.909 3.580 4.483 4.254 4.483 4.646 4.163

47 3.091 2.022 2.320 3.999 4.121 3.302 3.591 3.461 1.000 2.457 4.059 3.797 3.887 2.708 3.748 2.403 1.645 3.202 2.940 4.254 3.130 3.578 2.895 2.459 1.000 3.088 2.723 4.483 2.049 4.163

202

48 3.091 3.178 2.320 2.589 4.121 3.302 3.591 3.461 4.334 3.775 4.059 3.797 2.527 2.708 3.748 2.403 4.135 3.202 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 4.254 3.116 3.279 2.811

49 4.386 3.178 2.320 2.589 2.762 3.302 2.306 2.324 3.280 2.457 2.663 3.797 3.887 2.708 3.748 3.896 4.135 3.202 4.251 4.254 3.130 2.339 2.895 2.459 3.580 4.483 2.723 3.116 4.646 2.811

50 1.000 2.022 1.000 1.000 1.000 1.000 2.306 1.000 2.227 1.000 1.000 1.000 1.000 1.000 1.000 3.896 2.730 3.202 1.879 4.254 1.817 4.887 1.708 2.459 1.000 4.483 4.254 4.483 3.279 2.811

51 1.993 1.000 3.501 3.999 4.121 2.194 2.306 1.000 2.227 1.000 4.059 3.797 3.887 1.853 3.748 3.896 2.730 2.129 1.879 2.821 3.130 2.339 2.895 1.000 1.000 3.088 2.723 4.483 4.646 4.163

52 1.993 2.022 4.680 2.589 2.762 4.494 5.002 3.461 2.227 2.457 2.663 3.797 3.887 2.708 3.748 3.896 4.135 2.129 4.251 2.821 3.130 4.887 4.318 3.909 3.580 4.483 4.254 4.483 2.049 2.811

53 3.091 3.178 3.501 2.589 2.762 3.302 1.000 2.324 2.227 3.775 2.663 3.797 2.527 1.853 3.748 3.896 4.135 3.202 1.879 2.821 3.130 2.339 2.895 2.459 2.248 3.088 1.000 3.116 3.279 1.765

54 3.091 4.511 2.320 3.999 2.762 3.302 3.591 2.324 3.280 2.457 4.059 3.797 1.615 3.898 3.748 3.896 4.135 3.202 4.251 4.254 3.130 3.578 2.895 3.909 3.580 3.088 2.723 3.116 3.279 4.163

55 3.091 3.178 3.501 2.589 4.121 3.302 2.306 2.324 2.227 2.457 2.663 3.797 3.887 2.708 2.279 2.403 2.730 3.202 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 4.483 4.646 4.163

56 3.091 3.178 3.501 2.589 2.762 3.302 3.591 2.324 2.227 2.457 2.663 2.376 2.527 2.708 2.279 1.000 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 2.248 1.879 2.723 1.941 3.279 2.811

57 3.091 3.178 4.680 2.589 4.121 4.494 5.002 3.461 2.227 3.775 2.663 3.797 3.887 3.898 3.748 3.896 4.135 4.394 4.251 4.254 4.627 4.887 4.318 3.909 3.580 4.483 4.254 4.483 4.646 2.811

58 1.993 1.000 1.000 3.999 2.762 1.000 2.306 2.324 2.227 2.457 1.615 1.575 2.527 1.853 3.748 2.403 2.730 3.202 2.940 1.645 4.627 3.578 2.895 2.459 1.000 1.879 2.723 3.116 3.279 2.811

59 3.091 3.178 4.680 1.557 4.121 3.302 2.306 3.461 3.280 3.775 2.663 3.797 1.615 3.898 3.748 2.403 4.135 2.129 2.940 2.821 3.130 3.578 2.895 2.459 3.580 4.483 2.723 3.116 3.279 4.163

60 3.091 3.178 3.501 2.589 2.762 3.302 1.000 2.324 2.227 2.457 2.663 2.376 2.527 1.853 2.279 3.896 1.645 3.202 1.879 2.821 3.130 3.578 4.318 2.459 2.248 3.088 2.723 3.116 3.279 2.811

203

Successive Interval Kuisioner Pengguna Matte Lip Cream Revlon


1 2 3 4 5 6 7 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5

1 2.805 4.646 2.201 4.029 3.478 1.000 2.004 2.373 2.137 1.000 3.324 4.285 2.311 2.827 1.000 2.411 3.191 2.292 4.129 4.453 1.000 2.378 2.652 3.245 4.107 4.726 3.054 4.620 2.477 2.137

2 4.259 3.253 4.675 2.641 3.478 2.021 3.099 3.600 2.137 2.061 2.049 2.978 2.311 2.827 2.152 2.411 3.191 3.368 2.862 4.453 2.479 2.378 2.652 3.245 2.605 3.126 3.054 3.177 3.633 3.139

3 4.259 3.253 2.201 4.029 2.309 3.111 3.099 3.600 3.205 2.061 3.324 4.285 3.691 4.099 3.479 3.847 3.191 2.292 2.862 3.005 2.479 2.378 4.163 3.245 4.107 3.126 4.582 3.177 2.477 3.139

4 4.259 3.253 2.201 4.029 2.309 3.111 3.099 3.600 3.205 3.218 3.324 1.910 1.000 2.827 3.479 3.847 3.191 2.292 2.862 4.453 3.931 3.754 4.163 3.245 2.605 3.126 4.582 1.974 3.633 2.137

5 4.259 3.253 2.201 2.641 3.478 3.111 3.099 3.600 2.137 2.061 3.324 2.978 2.311 4.099 3.479 3.847 4.514 3.368 2.862 3.005 2.479 2.378 2.652 3.245 4.107 4.726 3.054 3.177 2.477 2.137

6 4.259 3.253 1.000 4.029 2.309 1.000 1.000 2.373 3.205 2.061 2.049 4.285 2.311 1.000 1.000 1.000 1.000 2.292 1.000 4.453 3.931 1.000 4.163 4.719 2.605 1.708 1.708 3.177 4.677 4.318

7 2.805 3.253 2.201 4.029 2.309 3.111 3.099 3.600 3.205 4.554 4.719 2.978 2.311 2.827 2.152 1.000 2.049 2.292 2.862 3.005 2.479 2.378 4.163 3.245 4.107 3.126 3.054 3.177 2.477 3.139

8 2.805 3.253 2.201 2.641 2.309 2.021 3.099 3.600 4.422 4.554 3.324 2.978 2.311 1.845 1.000 2.411 3.191 2.292 1.881 3.005 2.479 1.000 2.652 3.245 2.605 3.126 3.054 3.177 4.677 4.318

9 4.259 4.646 3.354 4.029 2.309 3.111 4.387 4.887 4.422 4.554 4.719 4.285 2.311 4.099 3.479 3.847 4.514 4.370 4.129 4.453 3.931 3.754 4.163 4.719 4.107 4.726 4.582 4.620 2.477 4.318

10 4.259 4.646 2.201 4.029 3.478 3.111 4.387 4.887 1.000 3.218 4.719 4.285 2.311 4.099 3.479 3.847 4.514 2.292 2.862 4.453 3.931 3.754 4.163 4.719 4.107 4.726 4.582 3.177 4.677 4.318

11 4.259 3.253 3.354 2.641 3.478 3.111 3.099 3.600 4.422 3.218 4.719 2.978 2.311 4.099 3.479 3.847 3.191 2.292 1.881 4.453 3.931 3.754 4.163 4.719 4.107 3.126 3.054 1.000 2.477 3.139

12 2.805 4.646 2.201 2.641 2.309 3.111 4.387 3.600 4.422 3.218 4.719 2.978 2.311 2.827 2.152 2.411 4.514 3.368 4.129 1.730 2.479 1.000 2.652 3.245 4.107 3.126 4.582 4.620 2.477 4.318

13 4.259 4.646 2.201 4.029 2.309 3.111 4.387 4.887 4.422 3.218 4.719 4.285 3.691 4.099 3.479 3.847 4.514 3.368 2.862 4.453 3.931 2.378 2.652 4.719 4.107 4.726 4.582 4.620 2.477 4.318

14 2.805 3.253 1.000 4.029 1.000 1.000 3.099 3.600 3.205 2.061 2.049 1.910 1.000 1.000 1.000 2.411 3.191 1.000 1.000 4.453 2.479 1.000 2.652 1.879 2.605 3.126 3.054 3.177 2.477 2.137

15 4.259 4.646 1.000 2.641 2.309 2.021 3.099 4.887 4.422 3.218 3.324 2.978 2.311 2.827 2.152 2.411 3.191 3.368 2.862 3.005 2.479 2.378 2.652 3.245 4.107 1.708 1.708 1.974 2.477 2.137

16 2.805 4.646 3.354 4.029 3.478 2.021 3.099 4.887 4.422 3.218 3.324 4.285 3.691 2.827 3.479 2.411 4.514 4.370 4.129 4.453 3.931 2.378 4.163 3.245 2.605 4.726 4.582 3.177 3.633 4.318

17 1.637 4.646 1.000 2.641 2.309 3.111 2.004 3.600 4.422 3.218 4.719 4.285 3.691 2.827 3.479 3.847 3.191 2.292 2.862 3.005 2.479 2.378 4.163 3.245 4.107 4.726 3.054 3.177 3.633 2.137

18 4.259 3.253 2.201 2.641 3.478 3.111 3.099 3.600 3.205 2.061 3.324 2.978 3.691 2.827 3.479 3.847 3.191 2.292 2.862 3.005 2.479 2.378 2.652 3.245 2.605 3.126 3.054 3.177 2.477 3.139

19 2.805 3.253 1.000 1.615 2.309 2.021 2.004 4.887 4.422 4.554 3.324 2.978 3.691 4.099 3.479 3.847 4.514 3.368 2.862 3.005 2.479 2.378 1.000 3.245 2.605 3.126 3.054 1.974 3.633 4.318

20 4.259 3.253 1.000 4.029 1.000 1.000 1.000 4.887 4.422 4.554 4.719 2.978 2.311 1.845 3.479 3.847 2.049 1.000 1.000 4.453 3.931 3.754 4.163 3.245 2.605 1.000 1.000 1.000 3.633 3.139

21 2.805 3.253 3.354 4.029 2.309 4.454 4.387 2.373 3.205 2.061 3.324 2.978 3.691 4.099 2.152 2.411 3.191 2.292 2.862 3.005 2.479 1.000 2.652 3.245 4.107 4.726 4.582 3.177 2.477 4.318

22 2.805 4.646 3.354 2.641 3.478 4.454 4.387 3.600 4.422 3.218 3.324 4.285 3.691 2.827 2.152 3.847 3.191 4.370 4.129 3.005 2.479 2.378 2.652 4.719 4.107 3.126 4.582 4.620 3.633 3.139

23 2.805 1.997 3.354 2.641 2.309 3.111 2.004 2.373 2.137 2.061 3.324 2.978 2.311 2.827 2.152 2.411 2.049 1.000 1.881 4.453 3.931 2.378 4.163 4.719 1.000 3.126 3.054 1.974 2.477 3.139

24 4.259 3.253 3.354 2.641 2.309 3.111 3.099 3.600 3.205 2.061 3.324 2.978 2.311 1.845 3.479 2.411 3.191 2.292 2.862 3.005 2.479 2.378 2.652 3.245 2.605 3.126 3.054 4.620 3.633 3.139

25 2.805 1.997 3.354 1.615 4.620 2.021 2.004 2.373 2.137 3.218 2.049 1.910 1.000 2.827 1.000 1.000 2.049 3.368 1.881 3.005 2.479 2.378 2.652 3.245 2.605 3.126 3.054 3.177 3.633 3.139

26 2.805 4.646 3.354 2.641 2.309 4.454 4.387 2.373 2.137 3.218 3.324 2.978 2.311 2.827 2.152 2.411 3.191 3.368 2.862 3.005 2.479 2.378 2.652 3.245 2.605 3.126 3.054 1.974 2.477 4.318

27 1.637 4.646 2.201 4.029 1.000 2.021 3.099 4.887 4.422 4.554 4.719 4.285 3.691 2.827 2.152 2.411 3.191 2.292 2.862 3.005 1.000 2.378 2.652 3.245 2.605 3.126 3.054 3.177 3.633 3.139

28 4.259 1.997 3.354 4.029 2.309 4.454 3.099 2.373 2.137 2.061 3.324 1.000 3.691 1.845 3.479 3.847 4.514 1.000 1.000 3.005 1.000 2.378 2.652 3.245 4.107 3.126 3.054 1.974 1.000 1.000

29 2.805 3.253 3.354 4.029 3.478 3.111 3.099 3.600 3.205 3.218 3.324 2.978 3.691 2.827 3.479 3.847 4.514 1.000 4.129 4.453 2.479 1.000 2.652 4.719 4.107 3.126 3.054 3.177 2.477 3.139

30 4.259 3.253 3.354 4.029 2.309 3.111 2.004 2.373 3.205 3.218 3.324 4.285 3.691 1.845 2.152 2.411 3.191 2.292 2.862 3.005 2.479 1.000 2.652 3.245 4.107 3.126 1.708 3.177 2.477 2.137

31 2.805 3.253 2.201 2.641 2.309 2.021 2.004 3.600 3.205 3.218 3.324 4.285 3.691 4.099 3.479 3.847 4.514 3.368 2.862 3.005 3.931 2.378 4.163 3.245 2.605 3.126 3.054 3.177 3.633 3.139

32 2.805 3.253 2.201 2.641 2.309 1.000 3.099 3.600 4.422 3.218 4.719 2.978 1.000 2.827 3.479 2.411 3.191 1.000 2.862 4.453 2.479 2.378 2.652 3.245 2.605 3.126 3.054 3.177 2.477 2.137

33 2.805 3.253 1.000 2.641 2.309 1.000 1.000 3.600 3.205 2.061 3.324 2.978 1.000 2.827 2.152 2.411 2.049 2.292 2.862 3.005 2.479 2.378 2.652 1.879 4.107 3.126 3.054 1.974 3.633 4.318

34 4.259 3.253 1.000 1.000 2.309 2.021 2.004 3.600 3.205 2.061 3.324 1.000 1.000 1.000 3.479 3.847 2.049 1.000 1.000 4.453 3.931 1.000 4.163 4.719 4.107 1.708 1.708 1.000 2.477 3.139

35 2.805 3.253 1.000 2.641 2.309 2.021 2.004 2.373 3.205 3.218 3.324 2.978 2.311 2.827 2.152 2.411 3.191 3.368 2.862 3.005 2.479 1.000 2.652 3.245 2.605 3.126 3.054 3.177 2.477 3.139

36 4.259 3.253 2.201 2.641 3.478 3.111 3.099 3.600 3.205 3.218 3.324 2.978 2.311 2.827 3.479 2.411 3.191 3.368 2.862 3.005 2.479 2.378 2.652 3.245 2.605 3.126 3.054 3.177 3.633 3.139

37 2.805 3.253 2.201 4.029 3.478 3.111 3.099 3.600 3.205 2.061 3.324 1.910 2.311 2.827 2.152 2.411 3.191 2.292 1.881 3.005 2.479 2.378 2.652 3.245 2.605 3.126 3.054 1.974 3.633 4.318

38 4.259 3.253 3.354 2.641 2.309 4.454 4.387 3.600 3.205 4.554 4.719 4.285 3.691 4.099 3.479 3.847 4.514 4.370 4.129 4.453 3.931 3.754 4.163 3.245 2.605 3.126 4.582 1.974 1.000 4.318

39 2.805 3.253 2.201 4.029 2.309 3.111 3.099 2.373 2.137 3.218 3.324 4.285 3.691 1.845 2.152 3.847 3.191 2.292 1.000 4.453 2.479 2.378 4.163 3.245 4.107 3.126 3.054 3.177 3.633 4.318

40 4.259 3.253 2.201 4.029 3.478 3.111 3.099 3.600 3.205 3.218 3.324 4.285 2.311 2.827 2.152 3.847 4.514 3.368 2.862 3.005 2.479 2.378 4.163 3.245 2.605 3.126 3.054 3.177 4.677 3.139

41 4.259 1.997 2.201 2.641 3.478 2.021 3.099 2.373 2.137 1.000 3.324 1.910 2.311 1.845 3.479 2.411 2.049 1.000 1.881 3.005 1.000 1.000 2.652 1.879 2.605 3.126 3.054 3.177 2.477 2.137

42 4.259 1.997 1.000 2.641 1.000 1.000 1.000 4.887 4.422 3.218 3.324 4.285 3.691 1.000 3.479 2.411 4.514 3.368 1.881 4.453 3.931 3.754 4.163 4.719 4.107 1.000 1.000 1.000 1.000 1.000

43 2.805 3.253 2.201 2.641 2.309 3.111 3.099 2.373 2.137 3.218 3.324 4.285 3.691 4.099 3.479 3.847 4.514 4.370 2.862 4.453 3.931 2.378 2.652 3.245 2.605 3.126 3.054 1.974 2.477 2.137

44 4.259 3.253 2.201 2.641 3.478 3.111 3.099 3.600 2.137 2.061 3.324 2.978 3.691 2.827 3.479 3.847 4.514 2.292 2.862 3.005 2.479 2.378 4.163 3.245 2.605 3.126 4.582 3.177 4.677 4.318

204

45 4.259 4.646 3.354 4.029 4.620 3.111 4.387 4.887 4.422 4.554 4.719 4.285 3.691 4.099 2.152 3.847 4.514 4.370 4.129 3.005 3.931 3.754 4.163 3.245 4.107 4.726 4.582 4.620 4.677 4.318

46 4.259 3.253 3.354 2.641 3.478 3.111 3.099 3.600 3.205 3.218 3.324 2.978 2.311 2.827 2.152 2.411 3.191 3.368 2.862 3.005 2.479 2.378 2.652 3.245 2.605 3.126 3.054 3.177 3.633 3.139

47 2.805 3.253 2.201 2.641 2.309 2.021 2.004 3.600 3.205 3.218 1.000 2.978 3.691 4.099 2.152 2.411 3.191 2.292 2.862 3.005 1.000 1.000 2.652 3.245 4.107 3.126 3.054 1.974 3.633 3.139

48 2.805 4.646 2.201 2.641 3.478 2.021 2.004 3.600 3.205 3.218 3.324 1.910 2.311 2.827 2.152 2.411 3.191 2.292 1.881 3.005 2.479 2.378 1.000 4.719 2.605 1.708 3.054 3.177 2.477 4.318

49 2.805 3.253 2.201 2.641 2.309 3.111 3.099 2.373 2.137 3.218 3.324 2.978 2.311 2.827 3.479 2.411 3.191 2.292 1.881 4.453 2.479 2.378 2.652 1.879 2.605 3.126 3.054 3.177 2.477 2.137

50 4.259 3.253 2.201 2.641 1.000 3.111 2.004 4.887 3.205 3.218 2.049 2.978 2.311 2.827 2.152 1.000 3.191 2.292 2.862 3.005 2.479 2.378 4.163 3.245 4.107 3.126 3.054 1.974 4.677 4.318

51 4.259 1.997 3.354 2.641 3.478 2.021 3.099 1.000 1.000 1.000 2.049 2.978 2.311 2.827 2.152 3.847 4.514 2.292 1.881 3.005 3.931 2.378 4.163 4.719 2.605 3.126 3.054 3.177 2.477 3.139

52 4.259 4.646 2.201 1.615 1.000 2.021 3.099 4.887 4.422 3.218 2.049 2.978 3.691 4.099 3.479 3.847 3.191 2.292 1.881 4.453 3.931 3.754 2.652 4.719 2.605 3.126 3.054 3.177 2.477 2.137

53 4.259 4.646 3.354 4.029 4.620 3.111 3.099 3.600 4.422 3.218 4.719 4.285 2.311 4.099 3.479 3.847 4.514 2.292 4.129 1.730 3.931 3.754 4.163 4.719 4.107 4.726 4.582 3.177 2.477 3.139

54 4.259 4.646 3.354 4.029 4.620 2.021 4.387 3.600 2.137 2.061 3.324 4.285 3.691 4.099 3.479 2.411 4.514 2.292 4.129 4.453 3.931 3.754 4.163 4.719 4.107 3.126 3.054 3.177 3.633 4.318

55 2.805 3.253 4.675 4.029 2.309 2.021 4.387 2.373 3.205 1.000 4.719 4.285 3.691 2.827 1.000 2.411 4.514 2.292 4.129 4.453 3.931 3.754 4.163 4.719 4.107 3.126 3.054 3.177 2.477 4.318

56 2.805 1.997 3.354 2.641 3.478 3.111 2.004 2.373 2.137 3.218 3.324 1.910 3.691 1.845 2.152 2.411 3.191 3.368 1.881 3.005 2.479 1.000 2.652 1.879 1.000 3.126 3.054 3.177 3.633 2.137

57 4.259 4.646 3.354 4.029 2.309 3.111 3.099 3.600 3.205 3.218 4.719 2.978 3.691 4.099 3.479 2.411 4.514 2.292 1.000 4.453 2.479 1.000 2.652 3.245 4.107 3.126 3.054 3.177 4.677 3.139

58 1.000 1.000 1.000 1.000 1.000 1.000 2.004 2.373 3.205 2.061 2.049 2.978 2.311 1.845 1.000 2.411 2.049 2.292 2.862 1.730 2.479 2.378 2.652 3.245 2.605 3.126 3.054 1.974 2.477 2.137

59 2.805 4.646 2.201 2.641 2.309 2.021 3.099 3.600 3.205 3.218 4.719 1.910 2.311 4.099 3.479 3.847 4.514 2.292 2.862 3.005 2.479 2.378 4.163 3.245 2.605 3.126 3.054 3.177 2.477 3.139

60 4.259 3.253 2.201 1.000 3.478 3.111 3.099 3.600 3.205 3.218 3.324 2.978 2.311 2.827 2.152 2.411 3.191 3.368 2.862 1.000 2.479 2.378 2.652 1.000 2.605 3.126 3.054 3.177 2.477 3.139

205

Successive Interval Kuisioner Pengguna Matte Lip Cream Pixy


1 2 3 4 5 6 7 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5

1 4.386 3.178 2.320 3.999 2.762 3.302 2.306 2.324 2.227 3.775 2.663 2.376 2.527 3.898 3.748 2.403 4.135 3.202 2.940 2.821 3.130 3.578 2.895 2.459 2.248 4.483 4.254 4.483 4.646 4.163

2 4.386 4.511 3.501 3.999 2.762 3.302 3.591 3.461 2.227 3.775 2.663 3.797 2.527 2.708 3.748 3.896 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 3.116 4.646 4.163

3 3.091 4.511 2.320 1.557 2.762 2.194 2.306 3.461 2.227 2.457 4.059 3.797 2.527 3.898 3.748 3.896 2.730 3.202 1.879 2.821 3.130 2.339 4.318 2.459 1.000 3.088 2.723 3.116 3.279 2.811

4 3.091 2.022 3.501 2.589 1.717 3.302 3.591 4.494 1.000 2.457 2.663 3.797 2.527 3.898 3.748 3.896 2.730 2.129 2.940 2.821 4.627 3.578 4.318 2.459 2.248 4.483 4.254 4.483 2.049 1.765

5 4.386 2.022 2.320 3.999 2.762 4.494 3.591 2.324 2.227 2.457 4.059 3.797 3.887 2.708 3.748 3.896 2.730 3.202 4.251 2.821 3.130 4.887 2.895 2.459 2.248 3.088 2.723 3.116 2.049 4.163

6 1.993 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 2.457 1.000 1.000 1.000 1.000 2.279 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.879 1.000 1.941 3.279 1.765

7 3.091 3.178 3.501 3.999 4.121 4.494 3.591 3.461 3.280 2.457 4.059 3.797 3.887 1.000 3.748 3.896 2.730 1.000 1.879 4.254 1.817 2.339 1.708 2.459 2.248 3.088 2.723 3.116 3.279 1.765

8 3.091 3.178 3.501 2.589 4.121 3.302 3.591 4.494 2.227 2.457 2.663 3.797 2.527 1.853 2.279 2.403 2.730 2.129 2.940 1.645 3.130 3.578 2.895 2.459 3.580 3.088 2.723 3.116 4.646 4.163

9 3.091 3.178 2.320 2.589 2.762 3.302 3.591 2.324 3.280 2.457 2.663 3.797 3.887 3.898 2.279 2.403 2.730 4.394 2.940 4.254 3.130 2.339 2.895 2.459 2.248 3.088 2.723 3.116 2.049 2.811

10 4.386 3.178 3.501 3.999 2.762 2.194 2.306 2.324 2.227 3.775 2.663 2.376 3.887 3.898 3.748 3.896 4.135 3.202 2.940 2.821 4.627 4.887 4.318 3.909 3.580 3.088 2.723 3.116 3.279 4.163

11 4.386 3.178 3.501 3.999 2.762 2.194 2.306 3.461 3.280 5.067 4.059 2.376 3.887 3.898 3.748 3.896 4.135 3.202 2.940 4.254 3.130 2.339 4.318 3.909 3.580 4.483 4.254 3.116 3.279 4.163

12 4.386 4.511 3.501 3.999 2.762 2.194 2.306 2.324 2.227 2.457 2.663 3.797 3.887 2.708 3.748 3.896 4.135 4.394 4.251 4.254 3.130 3.578 2.895 1.000 2.248 4.483 4.254 3.116 4.646 4.163

13 3.091 3.178 4.680 2.589 4.121 2.194 2.306 2.324 1.000 2.457 4.059 3.797 3.887 2.708 2.279 2.403 2.730 3.202 2.940 4.254 1.817 3.578 4.318 2.459 3.580 3.088 2.723 4.483 3.279 2.811

14 4.386 4.511 1.000 2.589 2.762 2.194 2.306 3.461 3.280 2.457 4.059 3.797 3.887 3.898 2.279 2.403 2.730 3.202 2.940 4.254 3.130 3.578 4.318 2.459 3.580 3.088 2.723 3.116 3.279 4.163

15 4.386 4.511 3.501 3.999 2.762 4.494 2.306 1.000 1.000 2.457 2.663 2.376 2.527 3.898 3.748 2.403 4.135 3.202 2.940 2.821 4.627 3.578 2.895 1.000 3.580 3.088 2.723 3.116 4.646 4.163

16 3.091 3.178 2.320 2.589 4.121 4.494 2.306 2.324 2.227 2.457 2.663 2.376 2.527 2.708 2.279 2.403 2.730 2.129 2.940 2.821 3.130 2.339 1.708 2.459 2.248 3.088 2.723 3.116 3.279 2.811

17 3.091 3.178 2.320 2.589 2.762 3.302 2.306 2.324 1.000 2.457 2.663 2.376 3.887 3.898 3.748 3.896 2.730 3.202 2.940 2.821 4.627 2.339 2.895 2.459 2.248 3.088 2.723 3.116 3.279 2.811

18 4.386 3.178 2.320 2.589 2.762 3.302 3.591 3.461 1.000 2.457 2.663 3.797 3.887 2.708 3.748 2.403 4.135 3.202 2.940 4.254 3.130 3.578 4.318 3.909 3.580 4.483 4.254 4.483 3.279 4.163

19 3.091 2.022 3.501 2.589 4.121 3.302 3.591 2.324 2.227 3.775 4.059 3.797 3.887 2.708 3.748 3.896 2.730 3.202 2.940 1.645 3.130 3.578 2.895 1.000 2.248 4.483 4.254 1.941 3.279 2.811

20 3.091 3.178 3.501 2.589 4.121 3.302 3.591 2.324 1.000 3.775 4.059 2.376 2.527 2.708 3.748 3.896 4.135 1.000 1.879 4.254 3.130 3.578 4.318 2.459 3.580 3.088 4.254 4.483 3.279 2.811

21 4.386 3.178 2.320 3.999 1.717 2.194 2.306 2.324 3.280 3.775 2.663 3.797 3.887 3.898 3.748 3.896 4.135 4.394 2.940 2.821 4.627 4.887 4.318 3.909 3.580 4.483 4.254 4.483 4.646 4.163

22 4.386 3.178 2.320 3.999 1.717 2.194 3.591 2.324 2.227 2.457 4.059 3.797 3.887 2.708 3.748 3.896 4.135 4.394 4.251 4.254 3.130 4.887 4.318 3.909 3.580 4.483 4.254 3.116 4.646 2.811

23 1.993 2.022 2.320 2.589 2.762 4.494 5.002 2.324 1.000 3.775 4.059 3.797 3.887 1.853 3.748 3.896 2.730 2.129 1.000 2.821 4.627 4.887 4.318 1.000 1.000 3.088 2.723 1.941 3.279 1.765

24 3.091 3.178 2.320 2.589 2.762 3.302 3.591 2.324 2.227 2.457 2.663 3.797 2.527 2.708 2.279 2.403 2.730 2.129 1.879 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 3.116 3.279 2.811

25 4.386 4.511 2.320 2.589 4.121 2.194 3.591 3.461 1.000 5.067 4.059 3.797 3.887 3.898 3.748 3.896 4.135 4.394 4.251 4.254 1.817 2.339 2.895 2.459 3.580 4.483 4.254 4.483 4.646 4.163

26 4.386 4.511 2.320 3.999 2.762 2.194 3.591 4.494 3.280 3.775 2.663 3.797 3.887 3.898 3.748 3.896 4.135 3.202 4.251 2.821 1.817 3.578 1.708 3.909 3.580 3.088 2.723 3.116 3.279 2.811

27 3.091 3.178 3.501 3.999 4.121 3.302 3.591 2.324 1.000 2.457 2.663 3.797 3.887 2.708 3.748 3.896 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 3.580 1.879 2.723 1.941 4.646 2.811

28 3.091 2.022 2.320 3.999 2.762 2.194 2.306 2.324 3.280 3.775 2.663 3.797 2.527 2.708 3.748 3.896 2.730 3.202 2.940 4.254 3.130 3.578 2.895 2.459 2.248 3.088 2.723 4.483 4.646 2.811

29 4.386 4.511 4.680 3.999 4.121 4.494 3.591 2.324 1.000 2.457 4.059 2.376 2.527 1.853 3.748 3.896 4.135 3.202 4.251 4.254 4.627 4.887 4.318 3.909 3.580 4.483 4.254 4.483 4.646 1.000

30 3.091 4.511 3.501 2.589 4.121 3.302 5.002 3.461 3.280 3.775 2.663 3.797 3.887 3.898 3.748 3.896 4.135 3.202 2.940 2.821 3.130 3.578 4.318 3.909 3.580 4.483 4.254 4.483 3.279 4.163

31 1.993 2.022 3.501 3.999 4.121 2.194 3.591 1.000 1.000 1.000 2.663 2.376 2.527 1.853 3.748 2.403 1.645 2.129 1.879 2.821 3.130 3.578 4.318 2.459 2.248 4.483 2.723 3.116 3.279 2.811

32 3.091 3.178 2.320 2.589 2.762 2.194 2.306 1.000 4.334 2.457 2.663 2.376 2.527 2.708 2.279 3.896 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 4.483 3.279 2.811

33 1.993 3.178 1.000 2.589 2.762 2.194 3.591 1.000 1.000 2.457 4.059 3.797 3.887 1.000 1.493 2.403 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 3.116 3.279 2.811

34 1.993 2.022 3.501 2.589 2.762 4.494 3.591 1.000 2.227 1.000 4.059 1.575 2.527 1.000 2.279 2.403 1.000 1.000 4.251 4.254 3.130 3.578 2.895 1.000 3.580 3.088 2.723 3.116 3.279 2.811

35 3.091 3.178 2.320 3.999 4.121 3.302 3.591 2.324 2.227 3.775 2.663 3.797 3.887 2.708 3.748 3.896 4.135 2.129 2.940 4.254 1.817 3.578 2.895 1.000 2.248 3.088 2.723 3.116 2.049 4.163

36 3.091 3.178 2.320 2.589 2.762 3.302 2.306 3.461 2.227 3.775 4.059 2.376 2.527 1.853 2.279 2.403 2.730 2.129 2.940 2.821 3.130 2.339 2.895 2.459 2.248 1.879 2.723 1.941 2.049 2.811

37 4.386 3.178 2.320 3.999 1.717 3.302 3.591 2.324 2.227 3.775 2.663 2.376 1.615 3.898 3.748 3.896 4.135 3.202 2.940 2.821 3.130 3.578 2.895 2.459 2.248 4.483 4.254 4.483 4.646 4.163

38 3.091 3.178 2.320 3.999 2.762 2.194 2.306 2.324 2.227 2.457 2.663 3.797 2.527 2.708 3.748 2.403 2.730 2.129 2.940 2.821 3.130 2.339 4.318 2.459 2.248 3.088 2.723 3.116 3.279 4.163

39 4.386 2.022 2.320 3.999 4.121 2.194 3.591 2.324 2.227 2.457 4.059 3.797 3.887 3.898 3.748 3.896 4.135 4.394 4.251 4.254 4.627 4.887 2.895 2.459 2.248 4.483 4.254 4.483 2.049 4.163

40 3.091 3.178 3.501 2.589 2.762 3.302 3.591 2.324 1.000 2.457 2.663 2.376 2.527 2.708 2.279 2.403 2.730 4.394 4.251 2.821 3.130 2.339 2.895 2.459 1.000 3.088 2.723 3.116 3.279 2.811

41 4.386 4.511 2.320 3.999 1.717 2.194 3.591 4.494 4.334 3.775 4.059 3.797 3.887 3.898 3.748 3.896 4.135 4.394 4.251 4.254 4.627 4.887 4.318 3.909 3.580 4.483 4.254 4.483 4.646 4.163

42 3.091 3.178 2.320 2.589 2.762 2.194 3.591 3.461 3.280 2.457 1.615 2.376 2.527 3.898 3.748 3.896 4.135 2.129 1.879 2.821 3.130 3.578 2.895 2.459 2.248 4.483 4.254 4.483 3.279 4.163

43 1.993 2.022 3.501 2.589 4.121 3.302 3.591 2.324 3.280 1.000 4.059 3.797 2.527 2.708 3.748 2.403 2.730 2.129 1.000 2.821 4.627 3.578 4.318 2.459 3.580 4.483 4.254 4.483 3.279 2.811

44 1.000 2.022 2.320 1.000 1.000 1.000 2.306 1.000 2.227 2.457 1.000 3.797 1.000 1.853 1.000 2.403 2.730 1.000 1.000 1.000 1.000 4.887 1.000 1.000 2.248 1.000 2.723 1.000 1.000 1.000

206

45 3.091 3.178 2.320 2.589 2.762 2.194 2.306 2.324 2.227 2.457 1.615 2.376 2.527 2.708 2.279 2.403 2.730 2.129 2.940 2.821 3.130 2.339 2.895 2.459 2.248 3.088 2.723 3.116 3.279 2.811

46 1.993 3.178 3.501 3.999 4.121 2.194 3.591 2.324 3.280 3.775 4.059 3.797 3.887 3.898 2.279 3.896 4.135 3.202 2.940 4.254 3.130 2.339 2.895 3.909 3.580 4.483 4.254 4.483 4.646 4.163

47 3.091 2.022 2.320 3.999 4.121 3.302 3.591 3.461 1.000 2.457 4.059 3.797 3.887 2.708 3.748 2.403 1.645 3.202 2.940 4.254 3.130 3.578 2.895 2.459 1.000 3.088 2.723 4.483 2.049 4.163

48 3.091 3.178 2.320 2.589 4.121 3.302 3.591 3.461 4.334 3.775 4.059 3.797 2.527 2.708 3.748 2.403 4.135 3.202 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 4.254 3.116 3.279 2.811

49 4.386 3.178 2.320 2.589 2.762 3.302 2.306 2.324 3.280 2.457 2.663 3.797 3.887 2.708 3.748 3.896 4.135 3.202 4.251 4.254 3.130 2.339 2.895 2.459 3.580 4.483 2.723 3.116 4.646 2.811

50 1.000 2.022 1.000 1.000 1.000 1.000 2.306 1.000 2.227 1.000 1.000 1.000 1.000 1.000 1.000 3.896 2.730 3.202 1.879 4.254 1.817 4.887 1.708 2.459 1.000 4.483 4.254 4.483 3.279 2.811

51 1.993 1.000 3.501 3.999 4.121 2.194 2.306 1.000 2.227 1.000 4.059 3.797 3.887 1.853 3.748 3.896 2.730 2.129 1.879 2.821 3.130 2.339 2.895 1.000 1.000 3.088 2.723 4.483 4.646 4.163

52 1.993 2.022 4.680 2.589 2.762 4.494 5.002 3.461 2.227 2.457 2.663 3.797 3.887 2.708 3.748 3.896 4.135 2.129 4.251 2.821 3.130 4.887 4.318 3.909 3.580 4.483 4.254 4.483 2.049 2.811

53 3.091 3.178 3.501 2.589 2.762 3.302 1.000 2.324 2.227 3.775 2.663 3.797 2.527 1.853 3.748 3.896 4.135 3.202 1.879 2.821 3.130 2.339 2.895 2.459 2.248 3.088 1.000 3.116 3.279 1.765

54 3.091 4.511 2.320 3.999 2.762 3.302 3.591 2.324 3.280 2.457 4.059 3.797 1.615 3.898 3.748 3.896 4.135 3.202 4.251 4.254 3.130 3.578 2.895 3.909 3.580 3.088 2.723 3.116 3.279 4.163

55 3.091 3.178 3.501 2.589 4.121 3.302 2.306 2.324 2.227 2.457 2.663 3.797 3.887 2.708 2.279 2.403 2.730 3.202 2.940 2.821 3.130 3.578 2.895 2.459 2.248 3.088 2.723 4.483 4.646 4.163

56 3.091 3.178 3.501 2.589 2.762 3.302 3.591 2.324 2.227 2.457 2.663 2.376 2.527 2.708 2.279 1.000 2.730 2.129 2.940 2.821 3.130 3.578 2.895 2.459 2.248 1.879 2.723 1.941 3.279 2.811

57 3.091 3.178 4.680 2.589 4.121 4.494 5.002 3.461 2.227 3.775 2.663 3.797 3.887 3.898 3.748 3.896 4.135 4.394 4.251 4.254 4.627 4.887 4.318 3.909 3.580 4.483 4.254 4.483 4.646 2.811

58 1.993 1.000 1.000 3.999 2.762 1.000 2.306 2.324 2.227 2.457 1.615 1.575 2.527 1.853 3.748 2.403 2.730 3.202 2.940 1.645 4.627 3.578 2.895 2.459 1.000 1.879 2.723 3.116 3.279 2.811

59 3.091 3.178 4.680 1.557 4.121 3.302 2.306 3.461 3.280 3.775 2.663 3.797 1.615 3.898 3.748 2.403 4.135 2.129 2.940 2.821 3.130 3.578 2.895 2.459 3.580 4.483 2.723 3.116 3.279 4.163

60 3.091 3.178 3.501 2.589 2.762 3.302 1.000 2.324 2.227 2.457 2.663 2.376 2.527 1.853 2.279 3.896 1.645 3.202 1.879 2.821 3.130 3.578 4.318 2.459 2.248 3.088 2.723 3.116 3.279 2.811

207

Lampiran Hasil Uji Validitas Matte Lip Cream Pixy

Dimensi Kualitas

Correlations

PX1_1 PX1_2 PX1_3 PX1_4 PX1_5 PX1_6 PX1_7 PX1

PX1_1 Pearson Correlation 1 ,531** ,192 ,374** ,124 ,199 ,283* ,605**

Sig. (2-tailed) ,000 ,141 ,003 ,345 ,127 ,028 ,000

N 60 60 60 60 60 60 60 60

PX1_2 Pearson Correlation ,531** 1 ,383** ,367** ,075 ,228 ,314* ,656**

Sig. (2-tailed) ,000 ,003 ,004 ,568 ,080 ,015 ,000

N 60 60 60 60 60 60 60 60

PX1_3 Pearson Correlation ,192 ,383** 1 ,244 ,268* ,515** ,379** ,711**

Sig. (2-tailed) ,141 ,003 ,061 ,038 ,000 ,003 ,000

N 60 60 60 60 60 60 60 60

PX1_4 Pearson Correlation ,374** ,367** ,244 1 ,240 ,185 ,381** ,620**

Sig. (2-tailed) ,003 ,004 ,061 ,064 ,158 ,003 ,000

N 60 60 60 60 60 60 60 60

PX1_5 Pearson Correlation ,124 ,075 ,268* ,240 1 ,116 ,094 ,461**

Sig. (2-tailed) ,345 ,568 ,038 ,064 ,378 ,473 ,000

N 60 60 60 60 60 60 60 60

PX1_6 Pearson Correlation ,199 ,228 ,515** ,185 ,116 1 ,368** ,610**

Sig. (2-tailed) ,127 ,080 ,000 ,158 ,378 ,004 ,000

N 60 60 60 60 60 60 60 60

PX1_7 Pearson Correlation ,283* ,314* ,379** ,381** ,094 ,368** 1 ,659**

Sig. (2-tailed) ,028 ,015 ,003 ,003 ,473 ,004 ,000

N 60 60 60 60 60 60 60 60

PX1 Pearson Correlation ,605** ,656** ,711** ,620** ,461** ,610** ,659** 1

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

N 60 60 60 60 60 60 60 60

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

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

Dimensi Fitur

Correlations

PX2_1 PX2_2 PX2_3 PX2_4 PX2_5 PX2_6 PX2

PX2_1 Pearson Correlation 1 ,694** ,412** ,057 ,085 ,109 ,632**

Sig. (2-tailed) ,000 ,001 ,666 ,521 ,406 ,000

N 60 60 60 60 60 60 60

PX2_2 Pearson Correlation ,694** 1 ,358** ,175 ,086 ,078 ,645**

Sig. (2-tailed) ,000 ,005 ,182 ,514 ,553 ,000

208

N 60 60 60 60 60 60 60

PX2_3 Pearson Correlation ,412** ,358** 1 ,144 ,174 ,170 ,568**

Sig. (2-tailed) ,001 ,005 ,272 ,185 ,193 ,000

N 60 60 60 60 60 60 60

PX2_4 Pearson Correlation ,057 ,175 ,144 1 ,518** ,621** ,645**

Sig. (2-tailed) ,666 ,182 ,272 ,000 ,000 ,000

N 60 60 60 60 60 60 60

PX2_5 Pearson Correlation ,085 ,086 ,174 ,518** 1 ,700** ,662**

Sig. (2-tailed) ,521 ,514 ,185 ,000 ,000 ,000

N 60 60 60 60 60 60 60

PX2_6 Pearson Correlation ,109 ,078 ,170 ,621** ,700** 1 ,688**

Sig. (2-tailed) ,406 ,553 ,193 ,000 ,000 ,000

N 60 60 60 60 60 60 60

PX2 Pearson Correlation ,632** ,645** ,568** ,645** ,662** ,688** 1

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

N 60 60 60 60 60 60 60


Dimensi Merek

Correlations

PX3_1 PX3_2 PX3_3 PX3_4 PX3_5 PX3_6 PX3

PX3_1 Pearson Correlation 1 ,313* ,369** ,395** ,368** ,389** ,646**

Sig. (2-tailed) ,015 ,004 ,002 ,004 ,002 ,000

N 60 60 60 60 60 60 60

PX3_2 Pearson Correlation ,313* 1 ,786** ,491** ,075 ,283* ,651**

Sig. (2-tailed) ,015 ,000 ,000 ,569 ,028 ,000

N 60 60 60 60 60 60 60

PX3_3 Pearson Correlation ,369** ,786** 1 ,625** ,246 ,470** ,783**

Sig. (2-tailed) ,004 ,000 ,000 ,058 ,000 ,000

N 60 60 60 60 60 60 60

PX3_4 Pearson Correlation ,395** ,491** ,625** 1 ,451** ,662** ,827**

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

N 60 60 60 60 60 60 60

PX3_5 Pearson Correlation ,368** ,075 ,246 ,451** 1 ,641** ,663**

Sig. (2-tailed) ,004 ,569 ,058 ,000 ,000 ,000

N 60 60 60 60 60 60 60

PX3_6 Pearson Correlation ,389** ,283* ,470** ,662** ,641** 1 ,800**

Sig. (2-tailed) ,002 ,028 ,000 ,000 ,000 ,000

N 60 60 60 60 60 60 60


209

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

N 60 60 60 60 60 60 60



Dimensi Kemasan

Correlations

PX4_1 PX4_2 PX4_3 PX4_4 PX4_5 PX4_6 PX4

PX4_1 Pearson Correlation 1 ,500** ,336** ,260* ,227 ,164 ,617**

Sig. (2-tailed) ,000 ,009 ,045 ,082 ,210 ,000

N 60 60 60 60 60 60 60

PX4_2 Pearson Correlation ,500** 1 ,565** ,555** ,484** ,214 ,841**

Sig. (2-tailed) ,000 ,000 ,000 ,000 ,100 ,000

N 60 60 60 60 60 60 60

PX4_3 Pearson Correlation ,336** ,565** 1 ,460** ,309* ,177 ,696**

Sig. (2-tailed) ,009 ,000 ,000 ,016 ,176 ,000

N 60 60 60 60 60 60 60

PX4_4 Pearson Correlation ,260* ,555** ,460** 1 ,516** ,182 ,743**

Sig. (2-tailed) ,045 ,000 ,000 ,000 ,164 ,000

N 60 60 60 60 60 60 60

PX4_5 Pearson Correlation ,227 ,484** ,309* ,516** 1 ,298* ,703**

Sig. (2-tailed) ,082 ,000 ,016 ,000 ,021 ,000

N 60 60 60 60 60 60 60

PX4_6 Pearson Correlation ,164 ,214 ,177 ,182 ,298* 1 ,454**

Sig. (2-tailed) ,210 ,100 ,176 ,164 ,021 ,000

N 60 60 60 60 60 60 60


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

N 60 60 60 60 60 60 60



Dimensi Harga

Correlations

PX5_1 PX5_2 PX5_3 PX5_4 PX5_5 PX5

PX5_1 Pearson Correlation 1 ,537** ,545** ,324* ,454** ,751**

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

N 60 60 60 60 60 60

PX5_2 Pearson Correlation ,537** 1 ,613** ,376** ,382** ,762**

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

210

N 60 60 60 60 60 60

PX5_3 Pearson Correlation ,545** ,613** 1 ,350** ,309* ,730**

Sig. (2-tailed) ,000 ,000 ,006 ,016 ,000

N 60 60 60 60 60 60

PX5_4 Pearson Correlation ,324* ,376** ,350** 1 ,312* ,692**

Sig. (2-tailed) ,012 ,003 ,006 ,015 ,000

N 60 60 60 60 60 60

PX5_5 Pearson Correlation ,454** ,382** ,309* ,312* 1 ,709**

Sig. (2-tailed) ,000 ,003 ,016 ,015 ,000

N 60 60 60 60 60 60

PX5 Pearson Correlation ,751** ,762** ,730** ,692** ,709** 1

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

N 60 60 60 60 60 60



Lampiran Hasil Uji Reliabilitas Matte Lip Cream Pixy

Dimensi Kualitas Dimensi Kemasan

Reliability Statistics

Cronbach's

Alpha N of Items

,726 7

Dimensi Fitur Dimensi Harga


Cronbach's

Alpha N of Items

,711 6

Dimensi Merek Hasil Uji Reliabilitas Secara Keseluruhan


Cronbach's

Alpha N of Items

,772 6


Cronbach's

Alpha N of Items

,758 5


Cronbach's

Alpha N of Items

,883 30


Cronbach's

Alpha N of Items

,821 6

211

Lampiran Hasil Uji Validitas Matte Lip Cream Revlon

Dimensi Kualitas

Correlations


PX1_1 Pearson Correlation 1 ,113 ,205 ,177 ,270* ,221 ,159 ,470**

Sig. (2-tailed) ,392 ,116 ,175 ,037 ,090 ,225 ,000

N 60 60 60 60 60 60 60 60

PX1_2 Pearson Correlation ,113 1 ,065 ,344** ,128 ,159 ,416** ,500**

Sig. (2-tailed) ,392 ,623 ,007 ,330 ,225 ,001 ,000

N 60 60 60 60 60 60 60 60

PX1_3 Pearson Correlation ,205 ,065 1 ,273* ,466** ,501** ,543** ,727**

Sig. (2-tailed) ,116 ,623 ,035 ,000 ,000 ,000 ,000

N 60 60 60 60 60 60 60 60

PX1_4 Pearson Correlation ,177 ,344** ,273* 1 ,085 ,164 ,263* ,534**

Sig. (2-tailed) ,175 ,007 ,035 ,518 ,209 ,042 ,000

N 60 60 60 60 60 60 60 60

PX1_5 Pearson Correlation ,270* ,128 ,466** ,085 1 ,254 ,287* ,582**

Sig. (2-tailed) ,037 ,330 ,000 ,518 ,050 ,026 ,000

N 60 60 60 60 60 60 60 60

PX1_6 Pearson Correlation ,221 ,159 ,501** ,164 ,254 1 ,593** ,694**

Sig. (2-tailed) ,090 ,225 ,000 ,209 ,050 ,000 ,000

N 60 60 60 60 60 60 60 60

PX1_7 Pearson Correlation ,159 ,416** ,543** ,263* ,287* ,593** 1 ,774**

Sig. (2-tailed) ,225 ,001 ,000 ,042 ,026 ,000 ,000

N 60 60 60 60 60 60 60 60


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

N 60 60 60 60 60 60 60 60



Dimensi Fitur

Correlations

PX2_1 PX2_2 PX2_3 PX2_4 PX2_5 PX2_6 PX2

PX2_1 Pearson Correlation 1 ,626** ,549** ,293* ,206 ,104 ,724**

Sig. (2-tailed) ,000 ,000 ,023 ,114 ,431 ,000

N 60 60 60 60 60 60 60

PX2_2 Pearson Correlation ,626** 1 ,529** ,340** ,219 ,106 ,744**

Sig. (2-tailed) ,000 ,000 ,008 ,093 ,419 ,000

N 60 60 60 60 60 60 60

212

PX2_3 Pearson Correlation ,549** ,529** 1 ,371** ,207 ,136 ,730**

Sig. (2-tailed) ,000 ,000 ,004 ,112 ,300 ,000

N 60 60 60 60 60 60 60

PX2_4 Pearson Correlation ,293* ,340** ,371** 1 ,259* ,118 ,601**

Sig. (2-tailed) ,023 ,008 ,004 ,046 ,367 ,000

N 60 60 60 60 60 60 60

PX2_5 Pearson Correlation ,206 ,219 ,207 ,259* 1 ,474** ,606**

Sig. (2-tailed) ,114 ,093 ,112 ,046 ,000 ,000

N 60 60 60 60 60 60 60

PX2_6 Pearson Correlation ,104 ,106 ,136 ,118 ,474** 1 ,473**

Sig. (2-tailed) ,431 ,419 ,300 ,367 ,000 ,000

N 60 60 60 60 60 60 60


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

N 60 60 60 60 60 60 60



Dimensi Merek

Correlations

PX3_1 PX3_2 PX3_3 PX3_4 PX3_5 PX3_6 PX3

PX3_1 Pearson Correlation 1 ,362** ,346** ,510** ,372** ,538** ,789**

Sig. (2-tailed) ,004 ,007 ,000 ,003 ,000 ,000

N 60 60 60 60 60 60 60

PX3_2 Pearson Correlation ,362** 1 ,586** ,416** ,010 ,075 ,553**

Sig. (2-tailed) ,004 ,000 ,001 ,941 ,567 ,000

N 60 60 60 60 60 60 60

PX3_3 Pearson Correlation ,346** ,586** 1 ,517** ,089 ,109 ,592**

Sig. (2-tailed) ,007 ,000 ,000 ,501 ,408 ,000

N 60 60 60 60 60 60 60


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

N 60 60 60 60 60 60 60


Sig. (2-tailed) ,003 ,941 ,501 ,002 ,000 ,000

N 60 60 60 60 60 60 60

PX3_6 Pearson Correlation ,538** ,075 ,109 ,440** ,498** 1 ,704**

Sig. (2-tailed) ,000 ,567 ,408 ,000 ,000 ,000

N 60 60 60 60 60 60 60


213

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

N 60 60 60 60 60 60 60


Dimensi Kemasan

Correlations

PX4_1 PX4_2 PX4_3 PX4_4 PX4_5 PX4_6 PX4

PX4_1 Pearson Correlation 1 ,401** ,213 ,268* ,418** ,050 ,616**

Sig. (2-tailed) ,001 ,103 ,038 ,001 ,703 ,000

N 60 60 60 60 60 60 60

PX4_2 Pearson Correlation ,401** 1 ,532** ,572** ,524** -,013 ,774**

Sig. (2-tailed) ,001 ,000 ,000 ,000 ,924 ,000

N 60 60 60 60 60 60 60

PX4_3 Pearson Correlation ,213 ,532** 1 ,440** ,335** ,112 ,681**

Sig. (2-tailed) ,103 ,000 ,000 ,009 ,394 ,000

N 60 60 60 60 60 60 60

PX4_4 Pearson Correlation ,268* ,572** ,440** 1 ,316* ,186 ,696**

Sig. (2-tailed) ,038 ,000 ,000 ,014 ,155 ,000

N 60 60 60 60 60 60 60

PX4_5 Pearson Correlation ,418** ,524** ,335** ,316* 1 ,298* ,745**

Sig. (2-tailed) ,001 ,000 ,009 ,014 ,021 ,000

N 60 60 60 60 60 60 60

PX4_6 Pearson Correlation ,050 -,013 ,112 ,186 ,298* 1 ,398**

Sig. (2-tailed) ,703 ,924 ,394 ,155 ,021 ,002

N 60 60 60 60 60 60 60


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

N 60 60 60 60 60 60 60



Dimensi Harga

Correlations

PX5_1 PX5_2 PX5_3 PX5_4 PX5_5 PX5

PX5_1 Pearson Correlation 1 ,768** ,577** ,103 ,196 ,715**

Sig. (2-tailed) ,000 ,000 ,433 ,134 ,000

N 60 60 60 60 60 60

PX5_2 Pearson Correlation ,768** 1 ,535** ,111 ,400** ,777**

Sig. (2-tailed) ,000 ,000 ,400 ,002 ,000

N 60 60 60 60 60 60

214

PX5_3 Pearson Correlation ,577** ,535** 1 ,186 ,202 ,705**

Sig. (2-tailed) ,000 ,000 ,155 ,123 ,000

N 60 60 60 60 60 60

PX5_4 Pearson Correlation ,103 ,111 ,186 1 ,430** ,572**

Sig. (2-tailed) ,433 ,400 ,155 ,001 ,000

N 60 60 60 60 60 60

PX5_5 Pearson Correlation ,196 ,400** ,202 ,430** 1 ,686**

Sig. (2-tailed) ,134 ,002 ,123 ,001 ,000

N 60 60 60 60 60 60


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

N 60 60 60 60 60 60


Lampiran Hasil Uji Reliabilitas Matte Lip Cream Revlon



Cronbach's

Alpha N of Items

,729 7



Cronbach's

Alpha N of Items

,727 6



Cronbach's

Alpha N of Items

,731 6


Cronbach's

Alpha N of Items

,711 5


Cronbach's

Alpha N of Items

,761 6


Cronbach's

Alpha N of Items

,870 30

215

Lampiran Hasil Uji Validitas Matte Lip Cream Wardah

Dimensi Kualitas

Correlations


PX1_1 Pearson Correlation 1 ,609** ,062 ,540** ,120 ,196 -,010 ,594**

Sig. (2-tailed) ,000 ,636 ,000 ,360 ,134 ,937 ,000

N 60 60 60 60 60 60 60 60

PX1_2 Pearson Correlation ,609** 1 ,132 ,210 ,150 ,171 ,084 ,553**

Sig. (2-tailed) ,000 ,315 ,107 ,254 ,192 ,521 ,000

N 60 60 60 60 60 60 60 60

PX1_3 Pearson Correlation ,062 ,132 1 ,155 ,492** ,486** ,230 ,602**

Sig. (2-tailed) ,636 ,315 ,237 ,000 ,000 ,077 ,000

N 60 60 60 60 60 60 60 60

PX1_4 Pearson Correlation ,540** ,210 ,155 1 ,374** ,209 ,227 ,633**

Sig. (2-tailed) ,000 ,107 ,237 ,003 ,109 ,082 ,000

N 60 60 60 60 60 60 60 60

PX1_5 Pearson Correlation ,120 ,150 ,492** ,374** 1 ,432** ,315* ,677**

Sig. (2-tailed) ,360 ,254 ,000 ,003 ,001 ,014 ,000

N 60 60 60 60 60 60 60 60

PX1_6 Pearson Correlation ,196 ,171 ,486** ,209 ,432** 1 ,437** ,692**

Sig. (2-tailed) ,134 ,192 ,000 ,109 ,001 ,000 ,000

N 60 60 60 60 60 60 60 60

PX1_7 Pearson Correlation -,010 ,084 ,230 ,227 ,315* ,437** 1 ,519**

Sig. (2-tailed) ,937 ,521 ,077 ,082 ,014 ,000 ,000

N 60 60 60 60 60 60 60 60


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

N 60 60 60 60 60 60 60 60



Dimensi Fitur

Correlations

PX2_1 PX2_2 PX2_3 PX2_4 PX2_5 PX2_6 PX2

PX2_1 Pearson Correlation 1 ,255* ,441** ,244 ,425** ,306* ,691**

Sig. (2-tailed) ,050 ,000 ,060 ,001 ,017 ,000

N 60 60 60 60 60 60 60

PX2_2 Pearson Correlation ,255* 1 ,198 ,075 ,205 ,034 ,474**

Sig. (2-tailed) ,050 ,130 ,567 ,116 ,795 ,000

216

N 60 60 60 60 60 60 60

PX2_3 Pearson Correlation ,441** ,198 1 ,191 ,248 ,222 ,573**

Sig. (2-tailed) ,000 ,130 ,144 ,056 ,088 ,000

N 60 60 60 60 60 60 60

PX2_4 Pearson Correlation ,244 ,075 ,191 1 ,498** ,592** ,673**

Sig. (2-tailed) ,060 ,567 ,144 ,000 ,000 ,000

N 60 60 60 60 60 60 60


Sig. (2-tailed) ,001 ,116 ,056 ,000 ,000 ,000

N 60 60 60 60 60 60 60

PX2_6 Pearson Correlation ,306* ,034 ,222 ,592** ,560** 1 ,704**

Sig. (2-tailed) ,017 ,795 ,088 ,000 ,000 ,000

N 60 60 60 60 60 60 60


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

N 60 60 60 60 60 60 60



Dimensi Merek

Correlations

PX3_1 PX3_2 PX3_3 PX3_4 PX3_5 PX3_6 PX3

PX3_1 Pearson Correlation 1 ,457** ,273* ,596** ,528** ,379** ,793**

Sig. (2-tailed) ,000 ,035 ,000 ,000 ,003 ,000

N 60 60 60 60 60 60 60

PX3_2 Pearson Correlation ,457** 1 ,398** ,391** ,250 ,280* ,634**

Sig. (2-tailed) ,000 ,002 ,002 ,054 ,030 ,000

N 60 60 60 60 60 60 60

PX3_3 Pearson Correlation ,273* ,398** 1 ,478** ,305* ,227 ,577**

Sig. (2-tailed) ,035 ,002 ,000 ,018 ,082 ,000

N 60 60 60 60 60 60 60


Sig. (2-tailed) ,000 ,002 ,000 ,000 ,003 ,000

N 60 60 60 60 60 60 60

PX3_5 Pearson Correlation ,528** ,250 ,305* ,463** 1 ,556** ,757**

Sig. (2-tailed) ,000 ,054 ,018 ,000 ,000 ,000

N 60 60 60 60 60 60 60

PX3_6 Pearson Correlation ,379** ,280* ,227 ,378** ,556** 1 ,686**

Sig. (2-tailed) ,003 ,030 ,082 ,003 ,000 ,000

N 60 60 60 60 60 60 60

217


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

N 60 60 60 60 60 60 60



Dimensi Kemasan

Correlations

PX4_1 PX4_2 PX4_3 PX4_4 PX4_5 PX4_6 PX4

PX4_1 Pearson Correlation 1 ,200 ,109 ,408** ,357** ,351** ,611**

Sig. (2-tailed) ,126 ,409 ,001 ,005 ,006 ,000

N 60 60 60 60 60 60 60

PX4_2 Pearson Correlation ,200 1 ,325* ,635** ,289* ,167 ,654**

Sig. (2-tailed) ,126 ,011 ,000 ,025 ,203 ,000

N 60 60 60 60 60 60 60

PX4_3 Pearson Correlation ,109 ,325* 1 ,299* ,246 ,252 ,569**

Sig. (2-tailed) ,409 ,011 ,020 ,059 ,052 ,000

N 60 60 60 60 60 60 60

PX4_4 Pearson Correlation ,408** ,635** ,299* 1 ,442** ,377** ,794**

Sig. (2-tailed) ,001 ,000 ,020 ,000 ,003 ,000

N 60 60 60 60 60 60 60

PX4_5 Pearson Correlation ,357** ,289* ,246 ,442** 1 ,527** ,699**

Sig. (2-tailed) ,005 ,025 ,059 ,000 ,000 ,000

N 60 60 60 60 60 60 60

PX4_6 Pearson Correlation ,351** ,167 ,252 ,377** ,527** 1 ,666**

Sig. (2-tailed) ,006 ,203 ,052 ,003 ,000 ,000

N 60 60 60 60 60 60 60


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

N 60 60 60 60 60 60 60



Dimensi Harga

Correlations

PX5_1 PX5_2 PX5_3 PX5_4 PX5_5 PX5

PX5_1 Pearson Correlation 1 ,715** ,667** ,348** ,351** ,841**

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

N 60 60 60 60 60 60

PX5_2 Pearson Correlation ,715** 1 ,533** ,194 ,234 ,705**

218

Sig. (2-tailed) ,000 ,000 ,139 ,072 ,000

N 60 60 60 60 60 60

PX5_3 Pearson Correlation ,667** ,533** 1 ,309* ,382** ,802**

Sig. (2-tailed) ,000 ,000 ,016 ,003 ,000

N 60 60 60 60 60 60

PX5_4 Pearson Correlation ,348** ,194 ,309* 1 ,284* ,605**

Sig. (2-tailed) ,006 ,139 ,016 ,028 ,000

N 60 60 60 60 60 60

PX5_5 Pearson Correlation ,351** ,234 ,382** ,284* 1 ,652**

Sig. (2-tailed) ,006 ,072 ,003 ,028 ,000

N 60 60 60 60 60 60


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

N 60 60 60 60 60 60



Lampiran Hasil Uji Reliabilitas Matte Lip Cream Wardah



Cronbach's

Alpha N of Items

,721 7



Cronbach's

Alpha N of Items

,715 6



Cronbach's

Alpha N of Items

,797 6


Cronbach's

Alpha N of Items

,746 6


Cronbach's

Alpha N of Items

,763 5


Cronbach's

Alpha N of Items

,916 30

219

Uji Normalitas Secara Keseluruhan

Tests of Normality

Produk

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Matte Lip Cream Wardah ,097 60 ,200* ,925 60 ,001

Revlon ,099 60 ,200* ,974 60 ,237

Pixy ,098 60 ,200* ,954 60 ,025

*. This is a lower bound of the true significance.

a. Lilliefors Significance Correction

Uji Normalitas Pada Setiap Dimensi

Uji Normalitas Pada Dimensi Kualitas

Tests of Normality

Nama Produk



Kualitas Kualitas Wardah ,146 60 ,003 ,866 60 ,000

Kualitas Revlon ,111 60 ,063 ,977 60 ,324

Kualitas Pixy ,127 60 ,018 ,920 60 ,001


Uji Normalitas Pada Dimensi Fitur

Tests of Normality

Nama Produk



Fitur Fitur Wardah ,095 60 ,200* ,961 60 ,051

Fitur Revlon ,072 60 ,200* ,987 60 ,796

Fitur Pixy ,102 60 ,194 ,960 60 ,048



Uji Normalitas Pada Dimensi Merek

Tests of Normality

Nama Produk



Merek Merek Wardah ,088 60 ,200* ,970 60 ,151

Merek Revlon ,070 60 ,200* ,983 60 ,577

220

Merek Pixy ,092 60 ,200* ,956 60 ,029



Uji Normalitas Pada Dimensi Kemasan

Tests of Normality

Nama Produk



Kemasan Kemasan Wardah ,163 60 ,000 ,931 60 ,002

Kemasan Revlon ,133 60 ,010 ,950 60 ,015

Kemasan Pixy ,095 60 ,200* ,967 60 ,104



Uji Normalitas Pada Dimensi Harga

Tests of Normality

Nama Produk



Harga Harga Wardah ,109 60 ,074 ,959 60 ,044

Harga Revlon ,135 60 ,008 ,950 60 ,015

Harga Pixy ,139 60 ,006 ,941 60 ,006


221

Uji Perbandingan T-Test Secara Keseluruhan

Uji Perbandingan Wardah dengan Revlon

Group Statistics

Produk N Mean Std. Deviation Std. Error Mean

Matte Lip Cream Wardah 60 91,8269 14,04375 1,81304

Revlon 60 91,4906 12,47182 1,61010

Independent Samples Test

Levene's Test for

Equality of Variances t-test for Equality of Means

F Sig. t df

Sig. (2-

tailed) Mean

Difference Std. Error Difference

95% Confidence Interval of the

Difference

Lower Upper

Matte Lip Cream

Equal variances assumed

,111 ,739 ,139 118 ,890 ,33632 2,42478 -

4,46541 5,13804

Equal variances not assumed

,139 116,375 ,890 ,33632 2,42478 -

4,46610 5,13873

Uji Perbandingan Wardah dengan Pixy

Group Statistics


Matte Lip Cream Wardah 60 91,8269 14,04375 1,81304

Pixy 60 96,5997 12,87481 1,66213


Levene's Test for


F Sig. t df

Sig. (2-

tailed) Mean



Difference

Lower Upper

Matte Lip Cream


,086 ,770 -

1,940 118 ,055 -4,77285 2,45963

-9,64359

,09789


-

1,940 117,120 ,055 -4,77285 2,45963

-9,64397

,09827

222

Uji Perbandingan Revlon dengan Pixy

Group Statistics


Matte Lip Cream Revlon 60 91,4906 12,47182 1,61010

Pixy 60 96,5997 12,87481 1,66213


Levene's Test for


F Sig. t df

Sig. (2-

tailed) Mean



Difference

Lower Upper

Matte Lip Cream


,001 ,972 -2,208 118 ,029 -5,10917 2,31411 -

9,69174 -

,52659


-2,208 117,881 ,029 -5,10917 2,31411 -

9,69179 -

,52655

223

Uji Perbandingan Setiap Dimensi

Uji Perbandingan Mann-Whitney

Uji Mann-Whitney Kualitas Wardah dan Revlon

Ranks

Nama Produk N Mean Rank Sum of Ranks

Kualitas Kualitas Wardah 60 64,43 3866,00

Kualitas Revlon 60 56,57 3394,00

Total 120

Test Statisticsa

Kualitas

Mann-Whitney U 1564,000

Wilcoxon W 3394,000

Z -1,239

Asymp. Sig. (2-tailed) ,215

a. Grouping Variable: Nama Produk

Uji Mann-Whitney Kualitas Wardah dan Pixy

Ranks


Kualitas Kualitas Wardah 60 53,42 3205,00

Kualitas Pixy 60 67,58 4055,00

Total 120

Test Statisticsa

Kualitas


Wilcoxon W 3205,000

Z -2,231



Uji Mann-Whitney Kualitas Revlon dan Pixy

Ranks


Kualitas Kualitas Revlon 60 50,87 3052,00

Kualitas Pixy 60 70,13 4208,00

Total 120

224

Test Statisticsa

Kualitas


Wilcoxon W 3052,000

Z -3,034



Uji Independen T-Test

Uji T-Test Fitur Wardah dan Revlon

Group Statistics

Nama Produk N Mean Std. Deviation Std. Error Mean

Fitur Fitur Wardah 60 17,02 3,354 ,433

Fitur Revlon 60 19,12 3,576 ,462

Levene's Test for Equality of

Variances t-test for Equality of Means

F Sig. t df Sig. (2-

tailed)

Mean Difference

Std. Error Difference


Difference

Lower Upper

Fitur


0,638 0,426 -3,326 118 0,001 -2,105 0,633 -3,358 -0,852


-3,326 117,515 0,001 -2,105 0,633 -3,358 -0,852

Uji T-Test Fitur Wardah dan Pixy

Group Statistics


Fitur Fitur Wardah 60 17,02 3,354 ,433

Fitur Pixy 60 19,22 3,435 ,444


Levene's Test for Equality of Variances t-test for Equality of Means

F Sig. t df Sig. (2-tailed)

Mean Difference



Difference

225

Lower Upper

Fitur Equal variances assumed

,000 ,995 -3,551 118 ,001 -2,201 ,620 -3,428 -,974


-3,551 117,932 ,001 -2,201 ,620 -3,428 -,974

Uji T-Test Fitur Revlon dan Pixy

Group Statistics


Fitur Fitur Revlon 60 19,12 3,576 ,462

Fitur Pixy 60 19,22 3,435 ,444




F Sig. t df

Sig. (2-

tailed) Mean


95% Confidence

Interval of the Difference

Lower Upper

Fitur Equal variances assumed

,611 ,436 -,150 118 ,881 -,096 ,640 -1,364 1,172


-,150 117,810 ,881 -,096 ,640 -1,364 1,172

Uji Independent T-Test

Uji T-Test Merek Wardah dan Revlon

Group Statistics


Merek Merek Wardah 60 18,30 3,769 ,487

Merek Revlon 60 17,34 3,684 ,476




226


Mean Difference



Difference

Lower Upper

Merek Equal variances assumed

,107 ,744 1,407 118 ,162 ,957 ,680 -,390 2,305


1,407 117,938 ,162 ,957 ,680 -,390 2,305

Uji T-Test Merek Wardah dan Pixy

Group Statistics


Merek Merek Wardah 60 18,30 3,769 ,487

Merek Pixy 60 19,85 3,974 ,513





Mean Difference


95% Confidence


Lower Upper


,071 ,790 -2,193 118 ,030 -1,551 ,707 -2,951 -,151


-2,193 117,673 ,030 -1,551 ,707 -2,951 -,151

Uji T-Test Merek Revlon dan Pixy

Group Statistics


Merek Merek Revlon 60 17,34 3,684 ,476

Merek Pixy 60 19,85 3,974 ,513




F Sig. t df

Sig. (2-

tailed) Mean


95% Confidence


227

Lower Upper


,334 ,564 -

3,586 118 ,000 -2,508 ,700 -3,894 -1,123


-

3,586 117,331 ,000 -2,508 ,700 -3,894 -1,123


Uji Mann-Whitney Kemasan Wardah dan Revlon

Ranks


Kemasan Kemasan Wardah 60 59,68 3581,00

Kemasan Revlon 60 61,32 3679,00

Total 120

Test Statisticsa

Kemasan


Wilcoxon W 3581,000

Z -,257



Uji Mann-Whitney Kemasan Wardah dan Pixy

Ranks


Kemasan Kemasan Wardah 60 56,73 3404,00

Kemasan Pixy 60 64,27 3856,00

Total 120

Test Statisticsa

Kemasan


Wilcoxon W 3404,000

Z -1,187



228

Uji Mann-Whitney Kemasan Revlon dan Pixy

Ranks


Kemasan Kemasan Revlon 60 56,98 3419,00

Kemasan Pixy 60 64,02 3841,00

Total 120

Test Statisticsa

Kemasan


Wilcoxon W 3419,000

Z -1,108




Uji Mann-Whitney Harga Wardah dan Revlon

Ranks


Harga Harga Wardah 60 68,57 4114,00

Harga Revlon 60 52,43 3146,00

Total 120

Test Statisticsa

Harga


Wilcoxon W 3146,000

Z -2,542



Uji Mann-Whitney Harga Wardah dan Pixy

Ranks


Harga Harga Wardah 60 66,22 3973,00

Harga Pixy 60 54,78 3287,00

Total 120

229

Test Statisticsa

Harga


Wilcoxon W 3287,000

Z -1,801



Uji Mann-Whitney Harga Revlon dan Pixy

Ranks


Harga Harga Revlon 60 58,90 3534,00

Harga Pixy 60 62,10 3726,00

Total 120

Test Statisticsa

Harga


Wilcoxon W 3534,000

Z -,504



Documents

LAMPIRAN - media.unpad.ac.idmedia.unpad.ac.id/thesis/120310/2014/120310140004_l_4284.pdf · KUISIONER PENELITIAN Penelitian ini dilakukan oleh Nadya Amalia Putri, mahasiswa Strata