Analisis Faktor Untuk Mengetahui Hambatan Dalam Penggunaan Kontrasepsi Implan Di Desa Suka Maju Kecamatan Sunggal Kabupaten Deli Serdang Tahun 2015

Lampiran 1.
KESEDIAAN MENJADI RESPONDEN
Yang bertandatangan dibawah ini :
Nama

:..................................................................................

Umur

:..................................................................................

Alamat

:..................................................................................
Setelah mendapatkan penjelasan tentang penelitian ini maka saya

menyatakan bersedia berpartisipasi menjadi subjek dalam penelitian yang akan
dilakukan oleh saudari Pratiwi Nasution mengenai “ Analisis Faktor Untuk
Mengetahui Hambatan Dalam Penggunaan Kontrasepsi Implan Di Desa Suka Maju
Kecamatan Sunggal Kabupaten Deli Serdang Tahun 2015”.
Saya menyadari sepenuhnya bahwa penelitian ini sangat bermanfaat

untuk kepentingan ilmiah dan upaya untuk mendukung Program Keluarga Berencana
(KB). Identitas responden digunakan hanya untuk keperluan penelitian dan akan
dijaga kerahasiaannya.
Demikian pernyataan ini dibuat dengan sukarela tanpa ada paksaan dari
pihak manapun agar dapat dipergunakan sesuai keperluan.
Deli Serdang,
Peneliti

Responden

Pratiwi Nasution

__________

2015

106

Lampiran 2. Kuesioner Penelitian
ANALISIS FAKTOR UNTUK MENGETAHUI HAMBATAN DALAM

PENGGUNAAN KONTRASEPSI IMPLAN DI DESA SUKA MAJU
KECAMATAN SUNGGAL KABUPATEN DELI SERDANG
TAHUN 2015
No Responden: ........……
1.

Umur
Berapakah umur ibu saat ini ? : ..................... tahun
Seberapa besar pengaruh umur ibu saat ini menjadi hambatan ibu untuk
menggunakan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan : ......................................................................................................................

2.

Pendidikan terakhir
Apakah pendidikan terakhir ibu ? : .......................
Seberapa besar pengaruh tingkat pendidikan ibu menjadi hambatan ibu untuk
menggunakan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan : ......................................................................................................................

3.

Pekerjaan
Apakah pekerjaan ibu saat ini ? : ...........................
Seberapa besar pengaruh pekerjaan ibu saat ini menjadi hambatan ibu untuk
menggunakan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan : ......................................................................................................................

107

4.

Pendapatan keluarga

a. Berapakah pendapatan ibu saat ini ? : ...................................
b. Cukupkah pendapatan keluargan untuk membiayai kehidupan keluarga ?
1. Cukup
2. Kurang Cukup
Seberapa besar pengaruh pendapatan keluarga menjadi hambatan ibu untuk
menggunakan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan : ......................................................................................................................

5.

Jumlah anak

Berapakah jumlah anak ibu saat ini ? : ........................Anak
Seberapa besar pengaruh jumlah anak ibu saat ini menjadi hambatan ibu untuk
menggunakan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................

6.

Jumlah anak yang diinginkan :.........anak
Berapakah jumlah anak yang ibu inginkan ? : ...............................anak
Seberapa besar pengaruh jumlah anak yang ibu inginkan menjadi hambatan ibu
untuk menggunakan kontrasepsi implan

1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................

7.

Pengambilan Keputusan
Seberapa besar pengaruh pengambilan keputusan menjadi hambatan ibu dalam
penggunaan kontrasepsi implan
1
2
3
4

5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................

8.

Pengetahuan
a. Petunjuk pengisian, jawablah pertanyaan dibawah dengan memberikan tanda
(√) pada pilihan jawaban, pilih sesuai dengan keadaan atau kejadian sebenarnya
b. Ada dua (dua) pilihan jawaban yang sudah ditentukan yaitu :
1. Benar
2. Ragu-ragu
3. Salah
c. Kuesioner ini hanya untuk kepentingan penelitian
RaguBenar
No
Pengetahuan

Salah
ragu
1 Kontrasepsi implan/susuk adalah kontrasepsi
yang dipasang dibawah kulit
2 Kontrasepsi impalan/susuk menggangu saat
berhubungan seksual
3 Kontrasepsi
Implan/susuk
merupakan
kontrasepsi hormonal jangka panjang
4 Kontrasepsi implan/susuk dapat memperlambat
kesuburan
5 Kontrasepsi implan/susuk dapat bergeser setelah
pemasangan
6 Ibu yang menggunakan kontrasepsi hormonal
dan ingin mengganti dengan kontrasepsi
implant/susuk dapat dilakukan pemasangan
setiap saat
7 Kontrasepsi implan/susuk membuat rahim
kering dan susah punya anak

8 Setelah pencabutan kontrasepsi implan/susuk
akan segera kembali menstruasi dan subur
seperti semula
9 Wanita
yang
menyusui
menggunakan
kontrasepsi implan/susuk dapat mengganggu
produksi ASI
10 Setelah pemasangan kontrasepsi implan/susuk
tidak dapat dicabut sebelum batas waktu

9.

Norma
Seberapa besar pengaruh norma menjadi hambatan ibu dalam penggunaan
kontrasepsi implan
1
2
3

4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................

10. Akses terhadap pelayanan kesehatan
Seberapa besar pengaruh jarak rumah ibu dengan fasilitas kesehatan menjadi
hambatan ibu dalam penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................
Seberapa besar pengaruh ketersediaan alat transportasi (umum dan pribadi) dari
rumah ibu ke fasilitas kesehatan menjadi hambatan ibu dalam penggunaan
kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................
Seberapa besar pengaruh kondisi jalan dari rumah ibu ke fasilitas kesehatan
menjadi hambatan ibu dalam penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................
11. Biaya penggunan kontrasepsi
Seberapa besar pengaruh biaya penggunaan kontrasepsi implan menjadi
hambatan ibu dalam penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................
Seberapa besar keyakinan ibu bahwa penggunaan kontrasepsi selain implan lebih
murah dibandingkan dengan penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................
12. Dukungan Suami
Seberapa besar pengaruh dukungan suami menjadi hambatan ibu dalam
penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................

13. Peran petugas kesehatan
Seberapa besar pengaruh peran dari petugas kesehatan menjadi hambatan ibu
dalam penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :.....................................................................................................................
14. Kepercayaan kepada petugas kesehatan
Seberapa besar pengaruh kepercayaan kepada petugas kesehatan menjadi
hambatan ibu dalam penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :....................................................................................................................
15. Kenyaamanan terhadap penggunaan kontrasepsi
Seberapa besar pengaruh kenyamanan terhadap penggunaan kontrasepsi menjadi
hambatan ibu dalam penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :....................................................................................................................
Seberapa besar keyakinan ibu bahwa penggunaan kontrasepsi selain implan lebih
nyaman dibandingkan dengan penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat BesarSekali
16. Efek samping
Seberapa besar pengaruh efek samping dari penggunaan kontrasepsi menjadi
hambatan ibu dalam penggunaan kontrasepsi implan
1
2
3
4
5
6
7
Sangat Kecil Sekali
Sangat Besar Sekali
Alasan :....................................................................................................................

112
130

113

Lampiran 4.
Uji Validitas dan Reliabilitas
Reliability Statistics
Cronbach's Alpha
Based on
Cronbach's Alpha Standardized Items
.900

.898

N of Items
12

Item-Total Statistics
Scale Mean if Item Scale Variance if
Deleted

Item Deleted

Corrected Item-

Cronbach's Alpha

Total Correlation

if Item Deleted

Umur

47.63

17.826

.798

.882

Pendidikan

47.63

17.826

.798

.882

Pekerjaan

47.77

19.909

.372

.906

PendaptKel

47.43

18.461

.697

.888

JlhAnk

47.43

18.461

.697

.888

JlhAnkDiing

47.63

17.826

.798

.882

PengamKep

47.60

17.972

.824

.881

Norma

47.37

19.689

.571

.895

DukSuami

47.40

19.490

.631

.892

PerPetKes

47.13

20.602

.364

.903

KepperPetKs

47.17

20.420

.398

.902

TktEfSamp

47.23

20.047

.475

.899

132

Reliability Statistics
Cronbach's Alpha
Based on
Cronbach's Alpha Standardized Items
.804

N of Items

.806

4

Item-Total Statistics
Scale Mean if Item Scale Variance if
Deleted

Item Deleted

Corrected Item-

Cronbach's Alpha

Total Correlation

if Item Deleted

BiayaKontr1

13.83

1.454

.582

.773

BiayaKontr2

13.83

1.454

.582

.773

KenyaKontr1

13.63

1.482

.611

.759

KenyaKontr2

13.60

1.421

.708

.714

Reliability Statistics
Cronbach's Alpha
Based on
Cronbach's Alpha Standardized Items
.870

.870

N of Items
3

Item-Total Statistics
Scale Mean if Item Scale Variance if
Deleted

Item Deleted

Corrected Item-

Cronbach's Alpha

Total Correlation

if Item Deleted

AksPelKes1

9.17

.833

.762

.806

AksPelKes2

9.20

.855

.720

.844

AksPelKes3

9.10

.852

.770

.799

Reliability Statistics
Cronbach's Alpha
Based on
Cronbach's Alpha Standardized Items
.803

N of Items

.798

12

Item-Total Statistics
Scale Mean if Item Scale Variance if
Deleted

Item Deleted

Corrected Item-

Squared Multiple

Cronbach's Alpha

Total Correlation

Correlation

if Item Deleted

P1

9.60

15.628

.511

.550

.787

P2

10.47

14.257

.518

.693

.781

P3

9.90

13.886

.698

.703

.764

P4

10.43

12.875

.721

.789

.756

P5

10.57

14.599

.494

.639

.784

P6

10.97

15.413

.412

.809

.792

P7

10.47

14.464

.476

.594

.786

P8

10.50

14.603

.600

.755

.775

P9

10.37

14.999

.429

.754

.790

P10

10.50

17.086

.013

.745

.827

P11

10.70

16.838

.123

.722

.812

P12

10.57

15.495

.404

.634

.792

Lampiran 5. Analisis Faktor
Uji Kelayakan Faktor
Uji Kelayakan I
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity

.503

Approx. Chi-Square

144.020

Df

120

Sig.

.067

Anti-image Matrices
Peng
Pendid Pekerja Pndptn
Umur
Umur
Pendidi

Kel

JlhAnk Pengm etah Nor AksesP Biaya DukSu PeranP Kprcya KenyamnKo TktEfekS

ikan

an

JlhAnk

Diing

blKep

uan

ma

elkes

Kontr

ami

etKes

Petks

n

amp

.754

-.165

.140

.035

2.249E-5

-.092

.057 .101 .061

-.119

-.042

.009

.005

-.211

.017

.051

-.165

.633

.041

.222

.016

.084

.107 -.286 .038

.121

.073

.037

.022

.080

-.036

.063

.140

.041

.673

-.106

.195

.145

.030 .014 -.109

.137

-.093

.214

-.027

-.102

-.028

.088

.035

.222

-.106

.758

.110

.003

-.009 -.140 .079

-.028

-.022

-.023

.037

.001

-.098

-.064

2.249E

.016

.195

.110

.771

.122

.108 -.124 -.060

.118

-.130

-.011

-.026

-.004

.002

.087

-.092

.084

.145

.003

.122

.830

.127 -.104 -.168

.069

-.019

.069

-.023

.097

-.106

.031

.057

.107

.030

-.009

.108

.127

.840 -.168 .017

.007

-.003

-.097

.009

.031

.002

.176

.101

-.286

.014

-.140

-.124

-.104

-.168 .684 -.062

-.131

-.027

-.043

-.006

.031

.168

-.060

.061

.038

-.109

.079

-.060

-.168

.017 -.062 .866

-.111

-.029

-.078

.076

-.009

-.118

-.094

kan
Pekerja
an
Pndptn
Kel
JlhAnk

-5
JlhAnk
Diing
Pengmb
lKep
Pengeta
huan
Norma

AksesP

-.119

.121

.137

-.028

.118

.069

.007 -.131 -.111

.805

.078

.147

.107

.025

.011

-.056

-.042

.073

-.093

-.022

-.130

-.019

-.003 -.027 -.029

.078

.893

-.084

.092

.145

.082

.031

.009

.037

.214

-.023

-.011

.069

-.097 -.043 -.078

.147

-.084

.762

-.214

-.062

.011

.062

.005

.022

-.027

.037

-.026

-.023

.009 -.006 .076

.107

.092

-.214

.871

.073

.030

-.074

-.211

.080

-.102

.001

-.004

.097

.031 .031 -.009

.025

.145

-.062

.073

.755

.221

-.122

.017

-.036

-.028

-.098

.002

-.106

.002 .168 -.118

.011

.082

.011

.030

.221

.796

-.007

.051

.063

.088

-.064

.087

.031

.176 -.060 -.094

-.056

.031

.062

-.074

-.122

-.007

.864

AUmur

.543a

-.239

.197

.046

2.948E-5

-.117

.072 .140 .076

-.153

-.052

.012

.007

-.280

.022

.064

nPendidi

-.239

.498a

.063

.320

.023

.116

.147 -.435 .052

.169

.097

.054

.030

.116

-.050

.085

.197

.063

.533a

-.148

.271

.194

.039 .020 -.143

.186

-.119

.299

-.035

-.144

-.038

.115

.046

.320

-.148

.607a

.143

.004

-.011 -.195 .097

-.036

-.026

-.031

.046

.002

-.126

-.080

2.948E

.023

.271

.143

.588a

.153

.135 -.171 -.074

.149

-.157

-.014

-.032

-.006

.003

.107

-.117

.116

.194

.004

.153

.421a

.152 -.138 -.198

.084

-.022

.087

-.027

.122

-.130

.037

.072

.147

.039

-.011

.135

.152

.468a -.222 .020

.008

-.004

-.122

.011

.039

.003

.206

.140

-.435

.020

-.195

-.171

-.138

-.222 .392a -.080

-.177

-.034

-.059

-.008

.043

.227

-.079

aNorma

.076

.052

-.143

.097

-.074

-.198

.020 -.080 .455a

-.133

-.033

-.097

.088

-.011

-.143

-.109

t AksesP

-.153

.169

.186

-.036

.149

.084

.008 -.177 -.133

.456a

.092

.188

.128

.032

.014

-.067

elkes
BiayaK
ontr
DukSua
mi
PeranPe
tKes
Kprcya
Petks
Kenya
mnKon
TktEfek
Samp

t kan
i
i

Pekerja
an

mPndptn
aKel
gJlhAnk
e

-5
JlhAnk

CDiing
o
r
r

Pengmb
lKep

ePengeta
l huan

i

elkes

oBiayaK

-.052

.097

-.119

-.026

-.157

-.022

-.004 -.034 -.033

.092

.440a

-.102

.104

.176

.097

.036

.012

.054

.299

-.031

-.014

.087

-.122 -.059 -.097

.188

-.102

.528a

-.263

-.082

.015

.076

.007

.030

-.035

.046

-.032

-.027

.011 -.008 .088

.128

.104

-.263

.536a

.090

.036

-.085

-.280

.116

-.144

.002

-.006

.122

.039 .043 -.011

.032

.176

-.082

.090

.468a

.286

-.151

.022

-.050

-.038

-.126

.003

-.130

.003 .227 -.143

.014

.097

.015

.036

.286

.546a

-.008

.064

.085

.115

-.080

.107

.037

.206 -.079 -.109

-.067

.036

.076

-.085

-.151

-.008

.504a

nontr
DukSua
mi
PeranPe
tKes
Kprcya
Petks
Kenya
mnKon
TktEfek
Samp

a. Measures of Sampling Adequacy(MSA)

Uji Kelayakan II

KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity

Approx. Chi-Square

.544
116.883

Df

105

Sig.

.201

Anti-image Matrices
JlhAn Peng
Pendidi Pekerj Pndpt
Umur
Anti- Umur
imag
e

Pendid

kan

aan

kDiin mblK

nKel JlhAnk

.770

-.155

.141

.059

-.155

.781

.058

.209

-.046

.141

.058

.673 -.107

.204

.059

.209 -.107

g

.019 -.080

ep

Akses Biaya DukS PeranPe Kprcya Kenya TktEfek
Norma Pelkes Kontr uami

tKes

Petks

mnKon

Samp

.088

.072 -.105 -.039

.016

.006

-.220

-.008

.062

.051

.047

.016

.076

.024

.024

.115

.045

.047

.150

.035

-.108

.144 -.092

.216

-.026

-.103

-.033

.090

.069 -.059 -.028 -.034

.037

.008

-.070

-.080

.083

ikan

Cova
rianc
e

Pekerj
aan
Pndptn

.787

.090 -.019 -.047

.090

.795

.108

.084

-.074

.100 -.139 -.019

-.028

.001

.036

.079

-.182

.051 -.024

.064

-.025

.104

-.086

.023

Kel
JlhAnk

.019

-.046

.204

JlhAnk -.080

.051

.150 -.019

.108

.846

.109

.088

.047

.035 -.047

.084

.109

.884

.002 -.028 -.010 -.114

.008

.041

.048

.170

Norma

.072

.016 -.108

-.074 -.182

.002

.871 -.128 -.032 -.083

.076

-.006

-.110

-.101

Akses

-.105

.083

-.039

Diing
Pengm
blKep
.069

.144 -.059

.100

.051 -.028

-.128

.832

.075

.144

.110

.032

.047

-.070

.076 -.092 -.028

-.139 -.024 -.010

-.032

.075

.894 -.086

.091

.146

.093

.029

.016

.024

-.019

-.083

.144 -.086

.764

-.215

-.061

.023

.058

.006

.024 -.026

.037

-.220

.115 -.103

.008

-.008

Pelkes
Biaya
Kontr
DukSu

.216 -.034

.064 -.114

ami
PeranP

-.028 -.025

.008

.076

.110

.091 -.215

.871

.074

.033

-.075

.104

.041

-.006

.032

.146 -.061

.074

.756

.226

-.120

.045 -.033 -.070

.036 -.086

.048

-.110

.047

.093

.023

.033

.226

.840

.008

.047

.079

.170

-.101 -.070

.029

.058

-.075

-.120

.008

.870

etKes
Kprcy

.001

aPetks
Kenya
mnKo
n
TktEfe
kSamp

.062

.090 -.080

.023

Anti- Umur

.571a

-.200

.196

.076

imag Pendid
e
ikan

-.200

.647a

.080

.267

-.058

.196

.080 .513a -.147

.279

.076

.267 -.147 .696a

.114 -.024 -.057

Corre
Pekerj

.025 -.099

.106

.088 -.132 -.047

.020

.008

-.289

-.010

.076

.063

.057

.019

.091

.031

.029

.149

.055

.057

.199

.045

-.142

.192 -.119

.301

-.034

-.145

-.043

.117

.084 -.073 -.034 -.043

.045

.010

-.086

-.097

.104

lation
aan
Pndptn
Kel
JlhAnk

.279

.114

.615a

.025

-.058

.132

.101

-.089

.123 -.165 -.024

-.034

.002

.044

.095

JlhAnk -.099

.063

.199 -.024

.132 .476a

.126

-.212

.061 -.027

.080

-.029

.130

-.102

.026

.106

.057

.045 -.057

.101

.002 -.032 -.012 -.139

.009

.050

.056

.194

Norma

.088

.019 -.142

.444a -.150 -.036 -.102

.087

-.007

-.128

-.116

Akses

-.132

.104

-.150 .503a

.180

.129

.040

.057

-.083

-.047

.091 -.119 -.034

-.165 -.027 -.012

-.036

.087 .429a -.104

.104

.178

.108

.033

.020

.031

-.024

-.102

.180 -.104 .521a

-.264

-.080

.029

.072

.008

.029 -.034

.045

-.289

.149 -.145

.010

-.010

Diing
Pengm

.126 .537a

blKep
.084

.192 -.073

-.089 -.212
.123

.002

.061 -.032

.087

Pelkes
Biaya
Kontr
DukSu

.301 -.043

.080 -.139

ami
PeranP

.009

.087

.129

.104 -.264

.534a

.091

.038

-.086

.130

.050

-.007

.040

.178 -.080

.091

.448a

.284

-.148

.055 -.043 -.086

.044 -.102

.056

-.128

.057

.108

.029

.038

.284

.590a

.010

.057

.095

.194

-.116 -.083

.033

.072

-.086

-.148

.010

.522a

-.034 -.029

etKes
Kprcy

.002

aPetks
Kenya
mnKo
n
TktEfe

.076

.117 -.097

kSamp
a. Measures of Sampling Adequacy(MSA)

.026

Uji Kelayakan III
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity

Approx. Chi-Square
Df
Sig.

.557
109.165
91
.094

Anti-image Matrices
Per
Akse
Pendidi Pekerja Pndpt
Umur
Ant Umur

.771

kan

an

-.153

.140 .058

JlhAnk Pengm

nKel JlhAnk Diing
.014

-.081

sPelk DukSu etK yaPet Kenyam TktEfe

blKep Norma
.088

anP Kprc

es

.071 -.103

ami

ge

ks

.012 .01 -.221

iima

es

nKon

kSamp

-.004

.063

.107

.038

.045

- -.092

-.024

.094

.013

-.068

-.079

.025

.052

.086

.111

-.085

.023

.044

.050

.171

.000

-.108

-.100

.020

.040

-.073

- -.049

.033

.062

1
Pendi -.153

.787

.067 .214

-.035

.054

.049

.018

.078

.032 .01

dikan

7

Cov
aria
nce

Peker

.140

.067

.683 -.112

.197

.150

.034

-.113

.155

.212

jaan

.01
7

Pndpt

.058

.214

-.112 .788

.088

-.020

-.048

.068 -.057

-.037 .04

nKel
JlhAn

1
.014

-.035

.197 .088

.817

.108

.085

-.081

.115

-.034

k

.01
5

JlhAn -.081

.054

.150 -.020

.108

.846

.109

-.183

.053

.062

kDiin

.02

g
Peng

-

2
.088

.049

.034 -.048

.085

.109

.884

.001 -.027

-.116 .00

mblK

9

ep
Norm

.071

.018

-.113 .068

-.081

-.183

.001

.872 -.126

-.087 .08

a
Akse

0
-.103

.078

.155 -.057

.115

.053

-.027

-.126

.838

.154 .10

sPelk

4

es
DukS
uami

.012

.032

.212 -.037

-.034

.062

-.116

-.087

.154

.773

.21
1

Peran

.011

.017

-.017 .041

-.015

-.022

.009

.080

.104

-.211 .88

PetK

.061

.024

-.079

.781

.220

-.129

.220

.849

.005

- -.129

.005

.871

-.005

.077

.136

.046

.054

- -.127

-.031

.122

.017

-.083

-.096

.032

.063

.102

.137

-.100

.027

.053

.058

.195

.000

-.125

-.115

1

es
Kprc

-.221

.107

-.092 .013

.025

.111

.044

.000

.020

-.049 .06

yaPet

1

ks
Keny -.004

.038

-.024 -.068

.052

-.085

.050

-.108

.040

.033 .02

amn

4

Kon
TktEf

.063

.045

.094 -.079

.086

.023

.171

-.100 -.073

.062

ekSa

.07

mp

9

Ant Umur .579a

-.196

.192 .074

.017

-.101

.106

.086 -.128

.015 .01 -.285

i-

3

ima Pendi -.196
ge dikan
Cor
rela

Peker

.192

.661

a

.092 .271

-.044

.066

.058

.022

.096

.041 .02
0

.092

.527a -.152

.264

.197

.044

-.147

.205

.292

jaan

.02

tion

2
Pndpt

.074

.271

-.152 .694a

.110

-.025

-.057

.083 -.070

-.047 .04

nKel
JlhAn

9
.017

-.044

.264 .110

.634a

.129

.100

-.096

.140

-.042

k

.01
7

JlhAn -.101

.066

.197 -.025

.129

.475a

.126

-.213

.064

kDiin

.02

g
Peng

.077

6
.106

.058

.044 -.057

.100

.126

.531a

.001 -.032

mblK

-.141 .01
0

ep
Norm
a

.086

.022

-.147 .083

-.096

-.213

.001

.438a -.148

-.106 .09
2

Akse

-.128

.096

.205 -.070

.140

.064

-.032

-.148 .484a

.191 .12

.025

.048

-.086

- -.063

.040

.075

.074

.028

-.090

-.063 .07 .472a

.270

-.157

.270

.626a

.006

- -.157

.006

.497a

sPelk

1

es
DukS

.015

.041

.292 -.047

-.042

.077

-.141

-.106

.191

.526a

uami

.25
6

Peran

.013

.020

-.022 .049

-.017

-.026

.010

.092

.121

-.256 .57
a

PetK

4

es
Kprc

-.285

.136

-.127 .017

.032

.137

.053

.000

.025

yaPet

4

ks
Keny -.005

.046

-.031 -.083

.063

-.100

.058

-.125

.048

.040 .02

amn

8

Kon
TktEf

.077

.054

.122 -.096

.102

.027

.195

-.115 -.086

.075

ekSa

.09

mp

0

a. Measures of Sampling Adequacy(MSA)

Uji Kelayakan IV
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity

Approx. Chi-Square
Df
Sig.

.580
99.579
78
.050

Anti-image Matrices
Peng
Pendidi Pekerja Pndptn

ima

JlhAnk mblK AksesPelk DukS PeranP Kprcya Kenya TktEfe

Umur

kan

an

Kel

Ank

Diing

ep

es

uami

etKes

Petks mnKon kSamp

.777

-.156

.153

.053

.021

-.070

.088

-.095

.019

.004

-.223

.005

.073

-.156

.788

.071

.214

-.034

.060

.049

.083

.034

.015

.107

.041

.047

.153

.071

.698

-.106

.193

.135

.035

.145

.208

-.007

-.095

-.039

.084

.053

.214

-.106

.794

.096

-.006

-.048

-.048

-.030

.035

.013

-.061

-.073

.021

-.034

.193

.096

.825

.096

.086

.107

-.043

-.007

.026

.043

.078

JlhAn -.070

.060

.135

-.006

.096

.887

.114

.029

.047

-.006

.116

-.114

.002

.088

.049

.035

-.048

.086

.114

.884

-.028

-.117

.009

.044

.051

.173

Akses -.095

.083

.145

-.048

.107

.029

-.028

.857

.146

.119

.021

.026

-.091

.019

.034

.208

-.030

-.043

.047

-.117

.146

.781

-.207

-.049

.023

.053

.004

.015

-.007

.035

-.007

-.006

.009

.119

-.207

.888

.062

.035

-.071

-.223

.107

-.095

.013

.026

.116

.044

.021

-.049

.062

.781

.224

-.131

Ant Umur
i-

Jlh

Pendi
dikan

ge
Cov
aria

Peker
jaan

nce Pndpt
nKel
JlhAn
k

kDiin
g
Peng
mblK
ep

Pelke
s
DukS
uami
Peran
PetKe
s
Kprc
yaPet
ks

Keny

.005

.041

-.039

-.061

.043

-.114

.051

.026

.023

.035

.224

.863

-.007

.073

.047

.084

-.073

.078

.002

.173

-.091

.053

-.071

-.131

-.007

.882

Ant Umur

.576a

-.199

.208

.067

.026

-.084

.106

-.117

.025

.005

-.286

.006

.088

i-

-.199

.652a

.096

.270

-.042

.072

.058

.101

.044

.018

.136

.049

.057

.208

.096

.558a

-.142

.254

.171

.044

.187

.281

-.009

-.128

-.050

.107

.067

.270

-.142

.716a

.119

-.007

-.057

-.059

-.039

.041

.017

-.073

-.087

.026

-.042

.254

.119

.668a

.112

.101

.127

-.053

-.008

.032

.051

.092

JlhAn -.084

.072

.171

-.007

.112

.507a

.129

.033

.056

-.007

.140

-.131

.003

.106

.058

.044

-.057

.101

.129

.524a

-.032

-.141

.010

.053

.058

.196

Akses -.117

.101

.187

-.059

.127

.033

-.032

.519a

.178

.137

.025

.030

-.105

.025

.044

.281

-.039

-.053

.056

-.141

.178

.559a

-.249

-.063

.028

.064

.005

.018

-.009

.041

-.008

-.007

.010

.137

-.249

.587a

.074

.039

-.080

-.286

.136

-.128

.017

.032

.140

.053

.025

-.063

.074

.465a

.272

-.158

amnK
on
TktEf
ekSa
mp

Pendi

ima dikan
ge
Peker
Cor
jaan
rela
tion Pndpt
nKel
JlhAn
k

kDiin
g
Peng
mblK
ep

Pelke
s
DukS
uami
Peran
PetKe
s
Kprc
yaPet
ks

Keny

.006

.049

-.050

-.073

.051

-.131

.058

.030

.028

.039

.272

.613a

-.008

.088

.057

.107

-.087

.092

.003

.196

-.105

.064

-.080

-.158

-.008

.508a

amnK
on
TktEf
ekSa
mp
a. Measures of Sampling Adequacy(MSA)

Uji Kelayakan V
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity

.605

Approx. Chi-Square

81.677

Df

66

Sig.

.092

Anti-image Matrices
Tkt
Pndpt
Pendidi Pekerja
Umur
Anti Umur

kan

an

Jlh

n
Kel

Efe

AnkDii Pengmbl Akses
JlhAnk

ng

Kep

Pelkes

Duk

Peran

Kenya kSa

Suami

PetKes

mnKon mp

.846

-.139

.140

.062

.030

-.041

.110

-.098

.006

.024

.081 .040

-.139

.803

.087

.216

-.038

.046

.044

.082

.042

.007

.011 .068

Pekerjaan

.140

.087

.710 -.106

.199

.154

.041

.150

.206

.000

-.013 .071

aria PndptnKe

.062

.216

.096

-.008

-.049

-.049

-.030

.034

-.070

ima

Pendidika
n

ge
Cov

-.106

.794

nce l
JlhAnk
JlhAnkDi

.073

.030

-.038

-.041

.110

.199

.096

.825

.094

.085

.107

-.041

-.009

.039 .085

.046

.154 -.008

.094

.904

.110

.026

.055

-.015

-.163 .023

.044

.041 -.049

.085

.110

.886

-.029

-.115

.006

.042 .186

ing
Pengmbl
Kep

AksesPel

-.098

.082

.150 -.049

.107

.026

-.029

.857

.148

.118

.021

kes
DukSuam

.090

.006

.042

.206 -.030

-.041

.055

-.115

.148

.785

-.205

.024

.007

.000

-.009

-.015

.006

.118

-.205

.893

.040 .046

i
PeranPet

.034

.018

Kes
Kenyamn

.063

.081

.011

-.013 -.070

.039

-.163

.042

.021

.040

.018

.932 .034

.040

.068

.071 -.073

.085

.023

.186

-.090

.046

-.063

.034 .905

.674a

-.169

.180

.075

.036

-.047

.127

-.115

.007

.027

.091 .045

-.169

.686a

.116

.271

-.047

.054

.052

.098

.053

.008

.013 .080

Pekerjaan

.180

.116

.569a -.141

.261

.193

.052

.192

.276

.000

-.016 .089

elati PndptnKe
on l

.075

.271

-.141 .714a

.118

-.010

-.058

-.059

-.038

.040

-.081

Kon
TktEfekS
amp
Anti Umur
ima

Pendidika
n

ge
Corr

JlhAnk
JlhAnkDi

.086

.118

.663a

.109

.099

.127

-.051

-.011

.044 .098

.054

.193 -.010

.109

.451a

.123

.030

.066

-.017

-.177 .025

.127

.052

.052 -.058

.099

.123

.509a

-.033

-.138

.006

.046 .207

-.115

.098

.192 -.059

.127

.030

-.033

.518a

.180

.135

.024

.036

-.047

-.047

.261

ing
Pengmbl
Kep
AksesPel
kes
DukSuam

.102

.007

.053

.276 -.038

-.051

.066

-.138

.180

.567a

-.245

.047 .055

.027

.008

.000

-.011

-.017

.006

.135

-.245

.608a

.020

i
PeranPet

.040

Kes
Kenyamn

.070

.091

.013

-.016 -.081

.044

-.177

.046

.024

.047

.020

.621a .037

.045

.080

.089 -.086

.098

.025

.207

-.102

.055

-.070

.037 .518

Kon
TktEfekS
amp
a. Measures of Sampling Adequacy(MSA)

a

Uji Kelayakan VI

KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity

Approx. Chi-Square
df
Sig.

.623
74.560
55
.041

Anti-image Matrices
Pendidi Peker Pndptn
Umur
Antiimage
Covarianc

Umur
Pendidik

kan

jaan

Kel

Pengmbl AksesP
JlhAnk

Kep

PeranP Kenyam TktEfekS

elkes DukSuami etKes

nKon

amp

.848

-.138

.153

.062

.035

.117

-.097

.008

.023

.076

.041

-.138

.805

.083

.217

-.044

.039

.081

.039

.008

.020

.067

.153

.083

.737

-.109

.193

.023

.151

.205

.003

.016

.070

.062

.217 -.109

.794

.098

-.049

-.049

-.029

.034

-.073

-.073

an

e
Pekerjaa
n
PndptnK
el
JlhAnk

.035

-.044

.193

.098

.835

.075

.105

-.048

-.008

.058

.083

Pengmbl

.117

.039

.023

-.049

.075

.900

-.033

-.125

.008

.064

.186

-.097

.081

.151

-.049

.105

-.033

.858

.147

.119

.027

-.091

.008

.039

.205

-.029

-.048

-.125

.147

.788

-.205

.052

.045

.023

.008

.003

.034

-.008

.008

.119

-.205

.893

.016

-.062

.076

.020

.016

-.073

.058

.064

.027

.052

.016

.962

.039

.041

.067

.070

-.073

.083

.186

-.091

.045

-.062

.039

.905

Umur

.663a

-.167

.193

.075

.042

.134

-.113

.010

.027

.084

.047

Pendidik

-.167

.694a

.107

.272

-.053

.046

.097

.050

.009

.023

.079

.193

.107 .598a

-.142

.246

.029

.190

.269

.004

.019

.085

.075

.272 -.142

.712a

.120

-.058

-.059

-.037

.040

-.084

-.086

.120

.689a

.087

.124

-.059

-.009

.065

.096

Kep
AksesPel
kes
DukSua
mi
PeranPet
Kes
Kenyam
nKon
TktEfekS
amp
Antiimage
Correlatio

an

n
Pekerjaa
n
PndptnK
el
JlhAnk

.042

-.053

.246

Pengmbl

.134

.046

.029

-.058

.087

.498a

-.037

-.148

.009

.069

.206

-.113

.097

.190

-.059

.124

-.037

.521a

.179

.136

.030

-.103

.010

.050

.269

-.037

-.059

-.148

.179

.570a

-.245

.059

.053

.027

.009

.004

.040

-.009

.009

.136

-.245

.609a

.017

-.069

.084

.023

.019

-.084

.065

.069

.030

.059

.017

.654a

.042

.047

.079

.085

-.086

.096

.206

-.103

.053

-.069

.042

.522a

Kep
AksesPel
kes
DukSua
mi
PeranPet
Kes
Kenyam
nKon
TktEfekS
amp
a. Measures of Sampling Adequacy(MSA)

Uji Kelayakan VII
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity

Approx. Chi-Square
df
Sig.

.636
66.999
45
.018

Anti-image Matrices
Pendidi Pekerja Pndptn
Umur
Anti-image Umur
Covariance

kan

an

Kel

AksesP
JlhAnk

elkes

Kenyamn TktEfe
DukSuami

PeranPetKes

Kon

kSamp

.864

-.146

.153

.069

.026

-.094

.026

.023

.069

.018

-.146

.807

.082

.220

-.047

.082

.046

.007

.017

.062

Pekerjaan

.153

.082

.738

-.108

.192

.152

.213

.003

.014

.068

PndptnK

.069

.220

-.108

.797

.103

-.051

-.037

.034

-.070

-.065

.026

-.047

.192

.103

.842

.109

-.039

-.009

.054

.071

-.094

.082

.152

-.051

.109

.859

.146

.119

.029

-.088

.026

.046

.213

-.037

-.039

.146

.806

-.209

.062

.076

.023

.007

.003

.034

-.009

.119

-.209

.893

.016

-.067

.069

.017

.014

-.070

.054

.029

.062

.016

.967

.027

.018

.062

.068

-.065

.071

-.088

.076

-.067

.027

.945

.682a

-.174

.191

.084

.030

-.109

.031

.026

.076

.020

-.174

.685a

.106

.275

-.057

.099

.057

.009

.020

.071

Pekerjaan

.191

.106

.597a

-.141

.244

.191

.276

.004

.017

.081

PndptnK

.084

.275

-.141

.708a

.126

-.061

-.046

.041

-.080

-.075

.030

-.057

.244

.126

.707a

.128

-.047

-.010

.059

.080

-.109

.099

.191

-.061

.128

.525a

.176

.136

.032

-.098

.031

.057

.276

-.046

-.047

.176

.560a

-.246

.070

.087

Pendidik
an

el
JlhAnk
AksesPel
kes
DukSua
mi
PeranPet
Kes
Kenyamn
Kon
TktEfekS
amp
Anti-image Umur
Correlation

Pendidik
an

el
JlhAnk
AksesPel
kes
DukSua
mi

PeranPet

.026

.009

.004

.041

-.010

.136

-.246

.605a

.017

-.073

.076

.020

.017

-.080

.059

.032

.070

.017

.702a

.028

.020

.071

.081

-.075

.080

-.098

.087

-.073

.028

.592a

Kes
Kenyamn
Kon
TktEfekS
amp
a. Measures of Sampling Adequacy(MSA)

Communalities
Communalities
Initial

Extraction

Umur

1.000

.458

Pendidikan

1.000

.524

Pekerjaan

1.000

.607

PndptnKel

1.000

.505

JlhAnk

1.000

.358

AksesPelkes

1.000

.610

DukSuami

1.000

.609

PeranPetKes

1.000

.501

KenyamnKon

1.000

.124

TktEfekSamp

1.000

.463

Extraction Method: Principal Component
Analysis.

Total Variance Explained
Total Variance Explained
Initial Eigenvalues

Compo

Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

nent

Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %

1

2.122

21.219

21.219

2.122

21.219

21.219

1.852

18.521

18.521

2

1.461

14.614

35.834

1.461

14.614

35.834

1.494

14.943

33.464

3

1.176

11.764

47.598

1.176

11.764

47.598

1.413

14.133

47.598

4

.963

9.632

57.229

5

.910

9.104

66.334

6

.863

8.631

74.965

7

.714

7.142

82.107

8

.679

6.788

88.895

9

.611

6.113

95.009

10

.499

4.991

100.000

Extraction Method: Principal Component Analysis.

Component Matrixa
Component
1

2

3

Umur

.435

-.504

.121

Pendidikan

.594

-.250

-.329

Pekerjaan

-.633

.183

-.416

PndptnKel

-.642

.176

.250

.584

.120

-.041

-.208

-.640

.396

DukSuami

.426

.539

.370

PeranPetKes

.252

.577

.323

KenyamnKon

-.281

.075

-.198

TktEfekSamp

-.241

-.164

.615

JlhAnk
AksesPelkes

Extraction Method: Principal Component Analysis.
a. 3 components extracted.

Rotated Component Matrixa
Component
1

2

3

Umur

.647

-.200

.013

Pendidikan

.502

-.133

-.505

Pekerjaan

-.727

-.266

-.088

PndptnKel

-.525

.019

.479

JlhAnk

.389

.294

-.346

AksesPelkes

.291

-.425

.587

DukSuami

.171

.761

-.023

PeranPetKes

-.001

.708

.012

KenyamnKon

-.324

-.130

-.049

TktEfekSamp

.084

.050

.674

Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 8 iterations.

Component Transformation Matrix
Compon
ent

1

2

3

1

.795

.367

-.483

2

-.522

.818

-.239

3

.308

.443

.842

Extraction Method: Principal Component
Analysis.
Rotation Method: Varimax with Kaiser
Normalization.

Lampiran 6. Dokumentasi Penelitian

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