B. STATUS KESEHATAN No
Pertanyaan Pilihan Jawaban
b.1.
Apakah ibu memiliki riwayat eklampsipreeklampsi
b.2. Apakah ibu memiliki riwayat penyakit salah satu
dibawah ini : a. Hipertensi
b. Diabetes c. Jantung
d. Ginjal e. Lainnya, sebutkan…..
1. Ya 2. Tidak
C. STATUS REPRODUKSI No
Pertanyaan Jawaban
c.1 Berapa kali ibu pernah melahirkan, termasuk
kelahiran yang terakhir?
c.2
Berapa jarak antara kehamilan terakhir dengan kehamilan sebelumnya?
……………………………bulan tahun. Tglblnthn : ………
Persalinan terakhir Tglblnthn : ………
Persalinan sebelumnya
Universitas Sumatera Utara
D. AKSES DAN PEMANFAATAN PELAYANAN KESEHATAN No
Pertanyaan Jawaban
d. 1 Selama Kehamilan apakah ibu menjalani Pemeriksaan
a. Timbang berat badan ukur tinggi badan b. Ukur Tekanan Darah
c. Ukur lingkar lengan atas d. Ukur tinggi fundus uteri
e. Presentasi janin dan denyut jantung janin
DJJ f. Status imunisasi Tetanus dan pemberian
Imunisasi Tetanus Toxoid TT g. Pemberian Tablet tambah darah minimal 90
tablet selama kehamilan h. Test Laboratorium rutin dan Khusus
i. Tata laksana kasus j. Temu wicara konseling, termasuk
Perencanaan Persalinan dan Pencegahan Komplikasi P4K serta KB pasca persalinan.
1. Ya 2. Tidak
d.2 masalah yang dihadapi untuk mendapatkan
perawatan kesehatan atau pengobatan. Apakah hal-hal berikut merupakan masalah atau tidak
a. terlambat mengambil keputusan b. terlambat membawa ke fasilitas kesehatan
c. terlambat mendapat pelayanan pelayanan
kesehatan Bukan masalah Masalah
d.3 Berapa kali ibu memeriksakan kandungan
selama masa kehamilan? Kunjungan I :
Kunjungan II : Kunjungan III :
Kunjungan IV : Kunjungan Berikutnya :
1. 4 kali 2.
≥ 4 kali
Universitas Sumatera Utara
Lampiran 3. JADWAL PENELITIAN
No. Kegiatan 2013
2014 Jan Feb Mar Apr Mei Jun
Jul Agt
Sept Okt Nov Des Jan
Feb
1. Pengajuan
Judul 2.
Survei Pendahuluan
3. Pencarian
Literatur 4.
Penulisan Proposal
5. Kolokium 6.
Perbaikan Proposal
7. Pengumpulan
Data
8. Analisis Data
dan Penulisan
Tesis
9. Seminar
Tesis 10. Ujian Tesis
11. Perbaikan
Tesis
Universitas Sumatera Utara
1
Universitas Sumatera Utara
1
Lampiran 5 HASIL UJI UNIVARIAT
FREQUENCIES VARIABLES=a2 a3 b1 b2 b3 b4 c1 c2 d1 d2 d3 IV ORDER=ANALYSIS.
Frequencies
[DataSet1] C:\Users\ACER\Desktop\.sav
Frequency Table
Jumlah pendapatan rata-rata perbulan
Frequency Percent
Valid Percent Cumulative
Percent Valid
tinggi 33
45.8 45.8
45.8 rendah
39 54.2
54.2 100.0
Total 72
100.0 100.0
Pengetahuan
Frequency Percent
Valid Percent Cumulative
Percent Valid
baik 28
38.9 38.9
38.9 kurang
44 61.1
61.1 100.0
Total 72
100.0 100.0
BMI
Frequency Percent
Valid Percent Cumulative
Percent Valid
25 33
45.8 45.8
45.8 25
39 54.2
54.2 100.0
Total 72
100.0 100.0
Riwayat Preeklampsieklampsi
Frequency Percent
Valid Percent Cumulative
Percent Valid
tidak ada riwayat 35
48.6 48.6
48.6 ada riwayat
37 51.4
51.4 100.0
Total 72
100.0 100.0
Riwayat hipertensi
Frequency Percent
Valid Percent Cumulative
Percent Valid
ada riwayat 25
34.7 34.7
34.7 ada riwayat hipertensi
47 65.3
65.3 100.0
Total 72
100.0 100.0
Universitas Sumatera Utara
Riwayat diabetes
Frequenc y
Percent Valid Percent
Cumulative Percent
Valid tidak ada
55 76.4
76.4 76.4
ada riwayat diabetes 17
23.6 23.6
100.0 Total
72 100.0
100.0
Paritas
Frequency Percent
Valid Percent Cumulative
Percent Valid
2 dan 3 51
70.8 70.8
70.8 1 dan 4
21 29.2
29.2 100.0
Total 72
100.0 100.0
Jarak antar kehamilan
Frequency Percent
Valid Percent Cumulative
Percent Valid
2 tahun 38
52.8 52.8
52.8 2 tahun
34 47.2
47.2 100.0
Total 72
100.0 100.0
Pelayanan ANC yang didapat
Frequency Percent
Valid Percent
Cumulative Percent
Valid memenuhi kriteria 10 T
8 11.1
11.1 11.1
tidak memenuhi kriteria 10T 64
88.9 88.9
100.0 Total
72 100.0
100.0
Masalah dalam mendapatkan pelayanan kesehatan
Frequency Percent
Valid Percent Cumulative
Percent Valid
tidak ada masalah 28
38.9 38.9
38.9 ada masalah
44 61.1
61.1 100.0
Total 72
100.0 100.0
Universitas Sumatera Utara
Jumlah Kunjungan ANC
Frequency Percent
Valid Percent Cumulative
Percent Valid
4 kali 27
37.5 37.5
37.5 4 kali
45 62.5
62.5 100.0
Total 72
100.0 100.0
Kasus Kontrol
Frequency Percent
Valid Percent Cumulative
Percent Valid
Kontrol 36
50.0 50.0
50.0 Kasus
36 50.0
50.0 100.0
Total 72
100.0 100.0
Universitas Sumatera Utara
Lampiran 6 HASIL UJI BIVARIAT
CROSSTABS TABLES=a2 a3 b1 b2 b3 b4 c1 c2 d1 d2 d3 BY IV
FORMAT=AVALUE TABLES STATISTICS=CHISQ CMH1
CELLS=COUNT COLUMN COUNT ROUND CELL.
Crosstabs
[DataSet1] C:\Users\ACER\Desktop\.sav
Case Processing Summary
Cases Valid
Missing Total
N Percent
N Percent
N Percent
Jumla pendapatan rata-rata perbulan Kasus Kontrol
72 100.0
.0 72
100.0 Pengetahuan Kasus
Kontrol 72
100.0 .0
72 100.0
IMB Kasus Kontrol 72
100.0 .0
72 100.0
Riwayat Preeklampsieklampsi
Kasus Kontrol 72
100.0 .0
72 100.0
Riwayat hipertensi Kasus Kontrol
72 100.0
.0 72
100.0 Riwayat diabetes Kasus
Kontrol 72
100.0 .0
72 100.0
Paritas Kasus Kontrol 72
100.0 .0
72 100.0
Jarak antar kehamilan Kasus Kontrol
72 100.0
.0 72
100.0 Pelayanan ANC yang
didapat Kasus Kontrol 72
100.0 .0
72 100.0
Masalah dalam mendapatkan pelayanan
kesehatan Kasus Kontrol 72
100.0 .0
72 100.0
Jumlah Kunjungan ANC Kasus Kontrol
72 100.0
.0 72
100.0
Jumlah pendapatan rata-rata perbulan Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Jumla pendapatan rata-rata perbulan
tinggi Count
19 14
33 within Kasus Kontrol
52.8 38.9
45.8 rendah
Count 17
22 39
within Kasus Kontrol 47.2
61.1 54.2
Total Count
36 36
72 within Kasus Kontrol
100.0 100.0
100.0
Universitas Sumatera Utara
Chi-Square Tests
Value df
Asymp. Sig. 2- sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square 1.399
a
1 .237
Continuity Correction
b
.895 1
.344 Likelihood Ratio
1.403 1
.236 Fishers Exact Test
.344 .172
Linear-by-Linear Association 1.379
1 .240
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 16.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 1.399
1 .237
Mantel-Haenszel .883
1 .347
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 1.216
lnEstimate .563
Std. Error of lnEstimate .478
Asymp. Sig. 2-sided .239
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
.688 Upper Bound
4.481 lnCommon Odds Ratio
Lower Bound -.373
Upper Bound 1.500
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Universitas Sumatera Utara
Pengetahuan Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Pengetahuan baik
Count 21
7 28
within Kasus Kontrol 58.3
19.4 38.9
kurang Count
15 29
44 within Kasus Kontrol
41.7 80.6
61.1 Total
Count 36
36 72
within Kasus Kontrol 100.0
100.0 100.0
Chi-Square Tests
Value df
Asymp. Sig. 2-sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square 11.455
a
1 .001
Continuity Correction
b
9.877 1
.002 Likelihood Ratio
11.858 1
.001 Fishers Exact Test
.001 .001
Linear-by-Linear Association 11.295
1 .001
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 14.00. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 11.455
1 .001
Mantel-Haenszel 9.739
1 .002
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Universitas Sumatera Utara
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 2.140
lnEstimate 1.758
Std. Error of lnEstimate .540
Asymp. Sig. 2-sided .001
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
2.013 Upper Bound
16.715 lnCommon Odds Ratio
Lower Bound .699
Upper Bound 2.816
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
IMB Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
IMB 25
Count 22
11 33
within Kasus Kontrol 61.1
30.6 45.8
25 Count
14 25
39 within Kasus Kontrol
38.9 69.4
54.2 Total
Count 36
36 72
within Kasus Kontrol 100.0
100.0 100.0
Chi-Square Tests
Value df
Asymp. Sig. 2- sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square 6.769
a
1 .009
Continuity Correction
b
5.594 1
.018 Likelihood Ratio
6.883 1
.009 Fishers Exact Test
.017 .009
Linear-by-Linear Association 6.675
1 .010
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 16.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Universitas Sumatera Utara
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 6.769
1 .009
Mantel-Haenszel 5.517
1 .019
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 1.271
lnEstimate 1.273
Std. Error of lnEstimate .498
Asymp. Sig. 2-sided .011
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
1.046 Upper Bound
9.475 lnCommon Odds Ratio
Lower Bound .297
Upper Bound 2.249
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Riwayat Preeklampsieklampsi Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Riwayat Preeklampsiekla
mpsi tidak ada riwayat Count
26 9
35 within Kasus Kontrol
72.2 25.0
48.6 ada riwayat
Count 10
27 37
within Kasus Kontrol 27.8
75.0 51.4
Total Count
36 36
72 within Kasus Kontrol
100.0 100.0
100.0
Chi-Square Tests
Value df
Asymp. Sig. 2- sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square 16.068
a
1 .000
Continuity Correction
b
14.233 1
.000 Likelihood Ratio
16.729 1
.000 Fishers Exact Test
.000 .000
Linear-by-Linear Association 15.845
1 .000
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 17.50. b. Computed only for a 2x2 table
Universitas Sumatera Utara
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 16.068
1 .000
Mantel-Haenszel 14.036
1 .000
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 1.100
lnEstimate 2.054
Std. Error of lnEstimate .535
Asymp. Sig. 2-sided .000
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
1.031 Upper Bound
22.274 lnCommon Odds Ratio
Lower Bound 1.005
Upper Bound 3.103
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Riwayat hipertensi Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Riwayat hipertensi
ada riwayat Count
17 8
25 within Kasus Kontrol
47.2 22.2
34.7 ada riwayat hipertensi Count
19 28
47 within Kasus Kontrol
52.8 77.8
65.3 Total
Count 36
36 72
within Kasus Kontrol 100.0 100.0
100.0
Universitas Sumatera Utara
Chi-Square Tests
Value df
Asymp. Sig. 2- sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square 4.963
a
1 .026
Continuity Correction
b
3.922 1
.048 Likelihood Ratio
5.048 1
.025 Fishers Exact Test
.047 .023
Linear-by-Linear Association 4.894
1 .027
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 12.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 4.963
1 .026
Mantel-Haenszel 3.867
1 .049
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 2.372
lnEstimate 1.142
Std. Error of lnEstimate .522
Asymp. Sig. 2-sided .029
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
1.126 Upper Bound
8.706 lnCommon Odds Ratio
Lower Bound .119
Upper Bound 2.164
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Universitas Sumatera Utara
Riwayat diabetes Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Riwayat diabetes
tidak ada Count
30 25
55 within Kasus Kontrol
83.3 69.4
76.4 ada riwayat
diabetes Count
6 11
17 within Kasus Kontrol
16.7 30.6
23.6 Total
Count 36
36 72
within Kasus Kontrol 100.0
100.0 100.0
Chi-Square Tests
Value df
Asymp. Sig. 2- sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square 1.925
a
1 .165
Continuity Correction
b
1.232 1
.267 Likelihood Ratio
1.948 1
.163 Fishers Exact Test
.267 .133
Linear-by-Linear Association 1.898
1 .168
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 8.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 1.925
1 .165
Mantel-Haenszel 1.215
1 .270
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Universitas Sumatera Utara
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 0.240
lnEstimate .788
Std. Error of lnEstimate .575
Asymp. Sig. 2-sided .170
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
.112 Upper Bound
6.793 lnCommon Odds Ratio
Lower Bound -.339
Upper Bound 1.916
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Paritas Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Paritas 2 dan 3
Count 27
24 51
within Kasus Kontrol 75.0
66.7 70.8
1 dan 4 Count
9 12
21 within Kasus Kontrol
25.0 33.3
29.2 Total
Count 36
36 72
within Kasus Kontrol 100.0
100.0 100.0
Chi-Square Tests
Value df
Asymp. Sig. 2- sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square .605
a
1 .437
Continuity Correction
b
.269 1
.604 Likelihood Ratio
.607 1
.436 Fishers Exact Test
.605 .302
Linear-by-Linear Association .597
1 .440
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 10.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Universitas Sumatera Utara
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans .605
1 .437
Mantel-Haenszel .265
1 .607
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate .375
lnEstimate .405
Std. Error of lnEstimate .523
Asymp. Sig. 2-sided .438
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
.139 Upper Bound
4.178 lnCommon Odds Ratio
Lower Bound -.619
Upper Bound 1.430
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Jarak antar kehamilan Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Jarak antar kehamilan
2 tahun Count
22 16
38 within Kasus Kontrol
61.1 44.4
52.8 2 tahun
Count 14
20 34
within Kasus Kontrol 38.9
55.6 47.2
Total Count
36 36
72 within Kasus Kontrol
100.0 100.0
100.0
Universitas Sumatera Utara
Chi-Square Tests
Value df
Asymp. Sig. 2- sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square 2.006
a
1 .157
Continuity Correction
b
1.393 1
.238 Likelihood Ratio
2.016 1
.156 Fishers Exact Test
.238 .119
Linear-by-Linear Association 1.978
1 .160
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 17.00. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared Df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 2.006
1 .157
Mantel-Haenszel 1.374
1 .241
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate .854
lnEstimate .675
Std. Error of lnEstimate .479
Asymp. Sig. 2-sided .159
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
.768 Upper Bound
5.022 lnCommon Odds Ratio
Lower Bound -.264
Upper Bound 1.614
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Universitas Sumatera Utara
Pelayanan ANC yang didapat Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Pelayanan ANC yang
didapat memenuhi
kriteria 10 T Count
6 2
8 within Kasus Kontrol
16.7 5.6
11.1 tidak
memenuhi kriteria 10T
Count 30
34 64
within Kasus Kontrol 83.3
94.4 88.9
Total Count
36 36
72 within Kasus Kontrol
100.0 100.0
100.0
Chi-Square Tests
Value df
Asymp. Sig. 2- sided
Exact Sig. 2-sided
Exact Sig. 1-sided
Pearson Chi-Square 2.250
a
1 .134
Continuity Correction
b
1.266 1
.261 Likelihood Ratio
2.343 1
.126 Fishers Exact Test
.260 .130
Linear-by-Linear Association 2.219
1 .136
N of Valid Cases 72
a. 2 cells 50.0 have expected count less than 5. The minimum expected count is 4.00. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 2.250
1 .134
Mantel-Haenszel 1.248
1 .264
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Universitas Sumatera Utara
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 15.000
lnEstimate 1.224
Std. Error of lnEstimate .854
Asymp. Sig. 2-sided .152
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
.638 Upper Bound
18.132 lnCommon Odds Ratio
Lower Bound -.450
Upper Bound 2.898
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Masalah dalam mendapatkan pelayanan kesehatan Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Masalah dalam mendapatkan
pelayanan kesehatan
tidak ada masalah
Count 21
7 28
within Kasus Kontrol 58.3
19.4 38.9
ada masalah Count
15 29
44 within Kasus Kontrol
41.7 80.6
61.1 Total
Count 36
36 72
within Kasus Kontrol 100.0
100.0 100.0
Chi-Square Tests
Value df
Asymp. Sig. 2-sided
Exact Sig. 2- sided
Exact Sig. 1-sided
Pearson Chi-Square 11.455
a
1 .001
Continuity Correction
b
9.877 1
.002 Likelihood Ratio
11.858 1
.001 Fishers Exact Test
.001 .001
Linear-by-Linear Association 11.295
1 .001
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 14.00. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Universitas Sumatera Utara
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 11.455
1 .001
Mantel-Haenszel 9.739
1 .002
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 2.140
lnEstimate 1.758
Std. Error of lnEstimate .540
Asymp. Sig. 2-sided .001
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
2.013 Upper Bound
16.715 lnCommon Odds Ratio
Lower Bound .699
Upper Bound 2.816
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Jumlah Kunjungan ANC Kasus Kontrol
Crosstab
Kasus Kontrol Total
Kontrol Kasus
Jumlah Kunjungan ANC 4 kali Count
23 4
27 within Kasus Kontrol
63.9 11.1
37.5 4 kali
Count 13
32 45
within Kasus Kontrol 36.1
88.9 62.5
Total Count
36 36
72 within Kasus Kontrol
100.0 100.0
100.0
Universitas Sumatera Utara
Chi-Square Tests
Value df
Asymp. Sig. 2-sided
Exact Sig. 2- sided
Exact Sig. 1-sided
Pearson Chi-Square 21.393
a
1 .000
Continuity Correction
b
19.200 1
.000 Likelihood Ratio
23.057 1
.000 Fishers Exact Test
.000 .000
Linear-by-Linear Association 21.095
1 .000
N of Valid Cases 72
a. 0 cells .0 have expected count less than 5. The minimum expected count is 13.50. b. Computed only for a 2x2 table
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Asymp. Sig. 2- sided
Breslow-Day .000
. Tarones
.000 .
Tests of Conditional Independence
Chi-Squared df
Asymp. Sig. 2- sided
Cochrans 21.393
1 .000
Mantel-Haenszel 18.933
1 .000
Under the conditional independence assumption, Cochrans statistic is asymptotically distributed as a 1 df chi-squared distribution, only if
the number of strata is fixed, while the Mantel-Haenszel statistic is always asymptotically distributed as a 1 df chi-squared distribution.
Note that the continuity correction is removed from the Mantel- Haenszel statistic when the sum of the differences between the
observed and the expected is 0.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 3.254
lnEstimate 2.650
Std. Error of lnEstimate .634
Asymp. Sig. 2-sided .000
Asymp. 95 Confidence Interval
Common Odds Ratio Lower Bound
3.087 Upper Bound
49.015 lnCommon Odds Ratio
Lower Bound 1.408
Upper Bound 3.892
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Universitas Sumatera Utara
Lampiran 7. HASIL UJI MULTIVARIAT
LOGISTIC REGRESSION VARIABLES IV METHOD=ENTER a2 a3 b1 b2 b3 b4 c2 d1 d2 d3
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