Lampiran 1 : Kuisioner
DINAS KESEHATAN KABUPATEN/KOTA …..
PENGAWASAN KUALITAS AIR BERSIH
FORMULIR INSPEKSI SANITASI
Jenis Sarana
: Sumur Gali
I.
Keterangan Umum
Lokasi
:
PUSKESMAS……….
Desa/Kelurahan………
Kode Sarana
:
……….
Pemilik Sarana
:
……….
Tanggal Kunjungan
:
…../…./….. Tanda Tangan
Apakah telah diambil sampel airnya?
:
Ya / Tidak
Nomor kode sampel air
:
………….
Koliform per 100 ml sampel
:
…..kelas…. (diisi A/B/C/D/E
(sesuai kelas)
Koli Tinja per 100 ml sampel
:
…..kelas…..kualitas airnya
II.
Diagnosa Khusus
Ya
Tidak
1. Apakah ada jamban pada radius 10 m di sekitar sumur?
2. Apakah ada sumur pencemar lain pada radius 10 m disekitar
sumur, misalnya kotoran hewan, sampah, genangan air, dll?
3. Apakah ada/sewaktu-waktu ada genangan air pada jarak 2 (dua)
meter sekitar sumur ?
4. Apakah saluran pembuangan air limbah rusak/tidak ada?
5. Apakah lantai semen yang mengitari sumur mempunyai radius
kurang dari 1 (satu) meter?
6. Apakah ada/sewaktu-waktu ada genangan air diatas lantai semen
sekeliling sumur?
7. Apakah di daerah hulu intake digunakan sebagai tempat limpahan
air dari hasil kegiatan peternakan (sapi perah, ayam, dan lain-lain)
8. Apakah ember dan tali timba diletakkan sedemikian rupa
sehingga memungkinkan pencemaran?
9. Apakah bibir sumur (cincin) tidak sempurna sehingga
memungkinkan air merembes kedalam sumut
10. Apakah dinding semen sedalam 3 (tiga) meter dari atas
permukaan tanah tidak diplester cukup rapat / tidak sempurna ?
Jumlah
Skor Resiko Pencemaran : 6-10 : Tinggi
0-5
: Rendah
III.
Hasil dan saran-saran
KUESIONER
HUBUNGAN PENGOLAHAN AIR SUMUR GALI DENGAN KEJADIAN DIARE
DI WILAYAH TPA MUARA FAJAR PEKANBARU TAHUN 2017
A. Data Umum
1. Nama Responden
:
2. Umur
:
3. Jenis Kelamin
:
4. Pekerjaan
:
5. Pendidikan
:
6. Penghasilan Keluarga
:
B. Pemanfaatan Air Sumur Gali
Pertanyaan
Ya
Tidak
1. Apakah air sumur digunakan untuk minum?
2. Apakah air sumur digunakan untuk kumur-kumur?
3. Apakah air sumur digunakan untuk menyikat gigi?
4. Apakah air sumur digunakan untuk mencuci
buah-buahan?
5. Apakah air sumur digunakan untuk mencuci sayur
lalapan?
6. Apakah air sumur digunakan mencuci alat alat
makan?
JUMLAH
Skor Pemanfaatan :
a) Skor
≥
4 Memanfaatkan air sumur gali.
b) Skor < 4 tidak memanfaatkan air sumur gali
Skor di beri nilai yaitu :
C. Pengolahan Air Sumur Gali
1. Apakah air sumur gali diolah terlebih dahulu sebelum digunakan?
a. Ya
b. Tidak
2. Jika ya, apakah pengolahan air dilakukan di setiap penggunaan?
a. Ya
b. Tidak
3. Bagaimana pengolahan air dilakukan?
a. Pengolahan Lengkap
b. Pengolahan Sebagian
4. Apakah cara pengolahan yang dilakukan?
a. Penyaringan
b. Pengendapan
c. Pemasakan
D. Kejadian Diare
1. Apakah dalam 6 bulan terakhir ada anggota keluarga yang menderita diare (buang
air besar lebih dari tiga kali sehari dan konsistensi cair)?
No U UK JK Pd Pkj Ph SN M J S G SP L GL H E B D c1 c2 c3 c4a c4b c4c d po Pok
1 30 2 1 2 5 1 2 2 2 1 1 2 2 2 2 2 2 2 2 1 1 1 1 2 2 8 2
2 40 3 1 2 1 2 1 2 1 1 2 1 1 2 1 2 1 1 1 0 0 0 0 0 2 1 2
3 22 2 2 2 5 2 1 2 1 1 1 2 2 2 1 1 1 2 2 1 1 1 1 2 2 8 2
4 21 2 2 3 5 1 1 2 2 2 1 1 2 1 1 1 1 1 2 1 1 1 1 2 2 8 2
5 40 3 2 1 5 1 2 2 1 1 2 2 2 2 2 1 1 2 2 1 1 1 1 2 2 8 2
6 24 2 2 1 5 1 2 2 2 1 1 1 2 1 2 2 2 2 2 1 1 1 1 2 2 8 2
7 32 3 2 1 5 1 2 2 2 1 2 1 2 1 2 2 2 2 2 1 1 1 1 2 2 8 2
8 24 2 1 3 3 2 1 2 1 1 1 2 1 1 1 1 1 1 2 1 1 1 2 2 2 9 1
9 23 2 2 1 5 1 2 2 1 2 1 2 2 2 1 1 2 2 2 1 1 1 1 2 2 8 2
10 30 2 1 2 2 2 2 2 2 1 2 1 2 2 1 1 2 2 1 1 1 1 1 2 2 7 2
11 25 2 2 2 5 2 1 2 1 1 2 1 1 1 1 1 1 1 1 0 0 0 0 0 2 1 2
12 32 3 1 2 2 2 1 2 2 2 1 1 1 1 1 2 1 1 2 1 1 1 1 2 2 8 2
13 35 3 1 4 4 2 1 2 1 1 1 1 1 1 1 1 1 1 2 2 1 2 1 1 2 9 1
14 43 4 1 2 2 2 1 2 1 2 1 1 1 2 1 1 1 1 2 1 1 1 1 2 2 8 2
15 33 3 1 3 3 2 1 2 1 1 1 2 1 1 1 1 1 2 1 0 0 0 0 0 2 1 2
16 30 2 2 3 4 2 1 2 2 1 1 1 1 1 1 2 1 1 1 0 0 0 0 0 2 1 2
17 17 1 2 1 5 1 1 2 2 1 1 1 1 1 1 2 1 1 2 1 1 1 1 2 2 8 2
18 21 2 1 2 1 2 1 2 1 1 1 2 2 1 1 1 1 1 2 0 0 0 0 0 2 1 2
19 27 2 2 3 3 2 1 2 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 2 1 2
20 32 3 1 1 5 1 2 2 2 2 2 1 2 1 2 2 1 1 2 1 1 1 1 2 2 8 2
21 30 2 2 2 1 2 2 2 1 2 2 1 2 1 2 1 2 2 2 1 1 1 1 2 2 8 2
22 34 3 1 3 3 2 2 2 2 1 1 2 1 2 1 2 2 2 1 0 0 0 0 0 2 1 2
29 24 2 1 3 2 2 1 2 2 1 1 2 1 1 1 1 2 1 1 1 1 1 1 2 1 8 2
30 28 2 2 3 5 2 1 2 2 1 1 1 1 1 1 1 1 1 2 2 1 1 1 2 1 8 2
31 41 4 1 2 1 2 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 8 2
32 31 3 2 2 5 2 1 2 2 1 2 1 1 1 1 2 1 2 1 2 0 0 0 0 1 1 2
33 28 2 2 3 5 2 1 2 1 1 2 1 1 1 1 1 1 2 1 1 1 2 1 1 1 9 1
34 28 2 1 4 3 2 1 2 2 1 1 1 2 2 1 1 1 1 1 1 0 0 0 0 1 1 2
35 32 3 1 2 5 2 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 8 2
36 40 3 1 2 1 2 2 2 1 2 2 1 2 2 2 2 1 2 2 2 1 1 2 2 1 10 1
37 52 4 2 2 5 2 1 2 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 9 1
38 45 4 2 3 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 10 1
39 26 2 2 2 5 2 1 2 2 1 2 2 1 1 1 1 2 2 1 1 1 1 2 1 1 8 2
40 43 4 1 2 5 2 1 2 2 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 8 2
41 28 2 1 3 3 2 1 2 1 1 1 2 1 1 1 2 1 1 1 1 1 1 2 2 1 10 1
42 27 2 1 2 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 9 1
43 20 1 2 1 5 1 1 2 2 1 1 1 1 2 1 1 1 1 1 2 0 0 0 0 1 1 2
44 31 3 1 4 3 2 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 1 10 1
45 45 4 2 1 1 2 1 2 1 1 2 1 1 1 1 1 1 2 1 1 1 2 1 1 1 9 1
46 45 4 2 4 4 2 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 8 2
47 35 3 2 3 5 2 1 2 1 1 1 1 1 2 1 2 1 1 2 2 1 2 1 2 1 9 1
48 37 3 2 3 5 2 1 2 2 1 1 1 2 2 1 1 1 1 1 1 1 2 1 1 1 8 2
49 27 2 1 2 2 2 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 8 2
Lampiran 3 Hasil Pengolahan Data
DATA KASUS
Frequencies
Umur Responden
12 48.0 48.0 48.0
10 40.0 40.0 88.0
3 12.0 12.0 100.0 25 100.0 100.0
20-29 30-39 40-49 Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Jenis Kelamin responden
12 48.0 48.0 48.0
13 52.0 52.0 100.0
25 100.0 100.0
Laki-laki Perempuan Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Pendidikan Responden
7 28.0 28.0 28.0
11 44.0 44.0 72.0
6 24.0 24.0 96.0
1 4.0 4.0 100.0
25 100.0 100.0 Tamat SD
Tamat SMP Tamat SMA Perguruan Tinggi Total
Valid
Frequency Percent Valid Percent
Cumulative Percent
Penghasilan Responden
8 32.0 32.0 32.0
17 68.0 68.0 100.0
Rendah Tinggi Valid
Frequency Percent Valid Percent
SANITASI SUMUR GALI
Frequency Table
Pekerjaan Responden
3 12.0 12.0 12.0
4 16.0 16.0 28.0
4 16.0 16.0 44.0
2 8.0 8.0 52.0
12 48.0 48.0 100.0 25 100.0 100.0
Petani Pedagang Pegawai Swasta PNS
Lain-lain Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Sanitasi Sumur Gali
13 52.0 52.0 52.0
12 48.0 48.0 100.0
25 100.0 100.0
Rendah Tinggi Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Jamban
12 48.0 48.0 48.0
13 52.0 52.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Sumur Pencemar
19 76.0 76.0 76.0
6 24.0 24.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Genangan Air
18 72.0 72.0 72.0
Tidak Valid
Frequency Percent Valid Percent
Saluran Pembuangan Air Limbah
15 60.0 60.0 60.0
10 40.0 40.0 100.0 25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Lantai Semen
13 52.0 52.0 52.0
12 48.0 48.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Genangan Air di Lantai Semen Sumut
14 56.0 56.0 56.0
11 44.0 44.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Hulu Intake
19 76.0 76.0 76.0
6 24.0 24.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Ember dan Tali Timba Diletakkan
14 56.0 56.0 56.0
11 44.0 44.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Frequency Table
Bibir Sumur
15 60.0 60.0 60.0
10 40.0 40.0 100.0 25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Dinding Sumur
12 48.0 48.0 48.0
13 52.0 52.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Pemanfaatan Air Sumur Gali
25 100.0 100.0 100.0 Memanfaatkan
Valid
Frequency Percent Valid Percent
Cumulative Percent
Pengolahan Air Sumur Gali
10 40.0 40.0 40.0
15 60.0 60.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Jenis Pengolahan AIr Sumur Gali
10 40.0 40.0 40.0
15 60.0 60.0 100.0
25 100.0 100.0
0
Sebagian Total Valid
Frequency Percent Valid Percent
Pengolahan Air Sumur Gali (Penggunaan)
10 40.0 40.0 40.0
14 56.0 56.0 96.0
1 4.0 4.0 100.0
25 100.0 100.0 0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative
25 100.0 100.0 0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative
25 100.0 100.0 0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Pemasakan
10 40.0 40.0 40.0
1 4.0 4.0 44.0
14 56.0 56.0 100.0 25 100.0 100.0
0 Tidak Ya Total Valid
Frequency Percent Valid Percent
DATA KONTROL
Frequency Table
Diare
25 100.0 100.0 100.0 Ya
Valid
Frequency Percent Valid Percent
Cumulative Percent
Umur Kasus
3 12.0 12.0 12.0
14 56.0 56.0 68.0
3 12.0 12.0 80.0
2 8.0 8.0 88.0
3 12.0 12.0 100.0 25 100.0 100.0
1
Frequency Percent Valid Percent
Cumulative Percent
Jenis Kelamin Kasus
12 48.0 48.0 48.0
13 52.0 52.0 100.0
25 100.0 100.0
Laki Laki Perempuan Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Umur Responden
11 44.0 44.0 44.0
5 20.0 20.0 64.0
7 28.0 28.0 92.0
2 8.0 8.0 100.0
25 100.0 100.0 20-29
Frequency Percent Valid Percent
Cumulative Percent
Jenis Kelamin Responden
12 48.0 48.0 48.0
13 52.0 52.0 100.0
25 100.0 100.0
Laki-laki Perempuan Total Valid
Frequency Percent Valid Percent
SANITASI SUMUR GALI
Pendidikan Responden
2 8.0 8.0 8.0
11 44.0 44.0 52.0
9 36.0 36.0 88.0
3 12.0 12.0 100.0 25 100.0 100.0
Tamat SD Tamat SMP Tamat SMA
Tamat Perguruan Tinggi Total
Valid
Frequency Percent Valid Percent
Cumulative Percent
Pekerjaan Responden
6 24.0 24.0 24.0
2 8.0 8.0 32.0
3 12.0 12.0 44.0
2 8.0 8.0 52.0
12 48.0 48.0 100.0 25 100.0 100.0
Petani Pedagang Pegawai Swasta PNS
Lain-lain Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Penghasilan Responden
1 4.0 4.0 4.0
24 96.0 96.0 100.0
25 100.0 100.0
Rendah Tinggi Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Jamban
20 80.0 80.0 80.0
5 20.0 20.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Sumur Pencemar
Genangan Air
22 88.0 88.0 88.0
3 12.0 12.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Saluran Pembuangan Air Limbah
16 64.0 64.0 64.0
9 36.0 36.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Lantai Semen
22 88.0 88.0 88.0
3 12.0 12.0 100.0 25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Genangan Air di Lantai Semen Sumut
20 80.0 80.0 80.0
5 20.0 20.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Hulu Intake
23 92.0 92.0 92.0
2 8.0 8.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
PENGOLAHAN AIR SUMUR GALI
Ember dan Tali Timba Diletakkan
20 80.0 80.0 80.0
5 20.0 20.0 100.0 25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Bibir Sumur
21 84.0 84.0 84.0
4 16.0 16.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Dinding Sumur
19 76.0 76.0 76.0
6 24.0 24.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Sanitasi Sumur Gali
24 96.0 96.0 96.0
1 4.0 4.0 100.0
25 100.0 100.0
Rendah Tinggi Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Pengolahan Air Sumur Gali
3 12.0 12.0 12.0
22 88.0 88.0 100.0
25 100.0 100.0
Tidak Ya Total Valid
Frequency Percent Valid Percent
Pengolahan Air Sumur Gali (Penggunaan)
3 12.0 12.0 12.0
12 48.0 48.0 60.0
10 40.0 40.0 100.0 25 100.0 100.0
0 Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Jenis Pengolahan Air Sumur Gali
3 12.0 12.0 12.0
22 88.0 88.0 100.0
25 100.0 100.0
0
Sebagian Total Valid
Frequency Percent Valid Percent
Cumulative 25 100.0 100.0
0 Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Pengendapan
3 12.0 12.0 12.0
11 44.0 44.0 56.0
11 44.0 44.0 100.0 25 100.0 100.0
0 Tidak Ya Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Pemasakan
3 12.0 12.0 12.0
12 48.0 48.0 60.0
10 40.0 40.0 100.0 25 100.0 100.0
0 Tidak Ya Total Valid
Frequency Percent Valid Percent
Diare
25 100.0 100.0 100.0 Tidak
Valid
Frequency Percent Valid Percent
Cumulative Percent
Umur Kontrol
3 12.0 12.0 12.0
14 56.0 56.0 68.0
3 12.0 12.0 80.0
2 8.0 8.0 88.0
3 12.0 12.0 100.0 25 100.0 100.0
1 2 3 4 5 Total Valid
Frequency Percent Valid Percent
Cumulative Percent
Jenis Kelamin Kontrol
12 48.0 48.0 48.0
13 52.0 52.0 100.0
25 100.0 100.0
Laki-laki Perempuan Total Valid
Frequency Percent Valid Percent
DATA KASUS DAN KONTROL
Crosstabs
[DataSet2] D:\bahan skripsi\data kiky.sav
Jamban * Diare
Case Processing Summary
50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% 50 100.0% 0 .0% 50 100.0% Jamban * Diare
Sumur Pencemar * Diare Genangan Air * Diare Saluran Pembuangan Air Limbah * Diare
Lantai Semen * Diare Genangan Air di Lantai Semen Sumut * Diare Hulu Intake * Diare Ember dan Tali Timba Diletakkan * Diare Bibir Sumur * Diare Dinding Sumur * Diare
N Percent N Percent N Percent
Valid Missing Total
Cases
Crosstab
Count
20 12 32
5 13 18
25 25 50
Tidak Ya Jamban Total
Tidak Ya Diare
Chi-Square Tests
5.556b 1 .018
4.253 1 .039
5.704 1 .017
.038 .019
5.444 1 .020
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 9. 00.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
5.556 1 .018
4.168 1 .041
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Sumur Pencemar * Diare
Mantel-Haenszel Common Odds Ratio Estimate
4.333
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab Sumur Pencemar Total
Tidak Ya Diare
Total
Chi-Square Tests
1.220b 1 .269
.542 1 .462
1.239 1 .266
.463 .232
1.195 1 .274
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
2 cells (50.0%) have expected count less than 5. The minimum expected count is 4. 50.
b.
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Genangan Air * Diare
Tests of Conditional Independence
1.220 1 .269
.531 1 .466
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Under the conditional independence assumption, Cochran's 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
2.316
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab
Tidak Ya Diare
Chi-Square Tests
2.000b 1 .157
1.125 1 .289
2.046 1 .153
.289 .145
1.960 1 .162
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 5. 00.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
2.000 1 .157
1.103 1 .294
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Saluran Pembuangan Air Limbah * Diare
Mantel-Haenszel Common Odds Ratio Estimate
2.852
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab Saluran Pembuangan Air Limbah
Total
Tidak Ya Diare
Total
Chi-Square Tests
.085b 1 .771
.000 1 1.000
.085 1 .771
1.000 .500
.083 1 .773
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 9. 50.
Lantai Semen * Diare
Tests of Conditional Independence
.085 1 .771
.000 1 1.000
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Under the conditional independence assumption, Cochran's 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
1.185
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab Lantai Semen Total
Tidak Ya Diare
Chi-Square Tests
7.714b 1 .005
6.095 1 .014
8.123 1 .004
.012 .006
7.560 1 .006
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 7. 50.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
7.714 1 .005
5.973 1 .015
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Genangan Air di Lantai Semen * Diare
Mantel-Haenszel Common Odds Ratio Estimate
6.769
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab Genangan Air di Lantai Semen Sumut
Total
Tidak Ya Diare
Total
Chi-Square Tests
3.309b 1 .069
2.298 1 .130
3.370 1 .066
.128 .064
3.243 1 .072
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 8. 00.
b.
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Hulu Intake * Diare
Tests of Conditional Independence
3.309 1 .069
2.252 1 .133
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Under the conditional independence assumption, Cochran's 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
3.143
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab Hulu Intake Total
Tidak Ya Diare
Chi-Square Tests
2.381b 1 .123
1.339 1 .247
2.475 1 .116
.247 .123
2.333 1 .127
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
2 cells (50.0%) have expected count less than 5. The minimum expected count is 4. 00.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
2.381 1 .123
1.313 1 .252
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Ember dan Tali Timba Diletakkan * Diare
Mantel-Haenszel Common Odds Ratio Estimate
3.632
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab Ember dan Tali Timba Diletakkan
Total
Tidak Ya Diare
Total
Chi-Square Tests
3.309b 1 .069
2.298 1 .130
3.370 1 .066
.128 .064
3.243 1 .072
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 8. 00.
Bibir Sumur * Diare
Tests of Conditional Independence
3.309 1 .069
2.252 1 .133
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Under the conditional independence assumption, Cochran's 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
3.143
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab Bibir Sumur Total
Tidak Ya Diare
Chi-Square Tests
3.571b 1 .059
2.480 1 .115
3.661 1 .056
.114 .057
3.500 1 .061
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 7. 00.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
3.571 1 .059
2.431 1 .119
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Dinding Sumur * Diare
Mantel-Haenszel Common Odds Ratio Estimate
3.500
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab
Tidak Ya Diare
Total
Chi-Square Tests
4.160b 1 .041
3.056 1 .080
4.235 1 .040
.079 .040
4.076 1 .043
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 9. 50.
b.
Tests of Homogeneity of the Odds Ratio
Chi-Squared df
Crosstabs
[DataSet2] D:\bahan skripsi\data kiky.sav
Tests of Conditional Independence
4.160 1 .041
2.995 1 .084
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Under the conditional independence assumption, Cochran's 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
3.431
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Case Processing Summary
50 100.0% 0 .0% 50 100.0% C1 * Diare
N Percent N Percent N Percent
Valid Missing Total
C1 * Diare Crosstabulation
Tidak Tidak Diare
Total
Chi-Square Tests
5.094b 1 .024
3.742 1 .053
5.309 1 .021
.051 .025
4.992 1 .025
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 6. 50.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
5.094 1 .024
3.667 1 .055
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Crosstabs
[DataSet3] D:\bahan skripsi\data pengolahan air.sav
C2 * Diare
Mantel-Haenszel Common Odds Ratio Estimate
4.889
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Case Processing Summary
37 100.0% 0 .0% 37 100.0%
N Percent N Percent N Percent
Valid Missing Total
Cases
Ya Tidak Diare
Chi-Square Tests
6.423b 1 .011
4.701 1 .030
7.369 1 .007
.014 .012
6.249 1 .012
37 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
1 cells (25.0%) have expected count less than 5. The minimum expected count is 4. 46.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
6.423 1 .011
4.574 1 .032
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
C3 * Diare
C4a * Diare
Mantel-Haenszel Common Odds Ratio Estimate
11.667
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab
Ya Tidak Diare
Total
Chi-Square Tests
.a 37 Pearson Chi-Square
N of Valid Cases
Value
No statistics are computed because C3 is a constant. a.
Ya Tidak Diare
Chi-Square Tests
4.273b 1 .039
2.812 1 .094
4.865 1 .027
.056 .043
4.158 1 .041
37 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
1 cells (25.0%) have expected count less than 5. The minimum expected count is 3. 65.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
4.273 1 .039
2.736 1 .098
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
C4b * Diare
Mantel-Haenszel Common Odds Ratio Estimate
8.000
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab
Ya Tidak Diare
Total
Chi-Square Tests
7.643b 1 .006
5.793 1 .016
8.780 1 .003
.011 .006
7.436 1 .006
37 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
1 cells (25.0%) have expected count less than 5. The minimum expected count is 4. 86.
C4c * Diare
Tests of Conditional Independence
7.643 1 .006
5.636 1 .018
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Under the conditional independence assumption, Cochran's 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
14.000
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Crosstab
Ya Tidak Diare
Chi-Square Tests
8.971b 1 .003
6.993 1 .008
10.308 1 .001
.004 .003
8.729 1 .003
37 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 5. 27.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
8.971 1 .003
6.804 1 .009
Cochran's Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Crosstabs
[DataSet2] D:\bahan skripsi\data kiky.sav
Mantel-Haenszel Common Odds Ratio Estimate
.060
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Case Processing Summary
50 100.0% 0 .0% 50 100.0%
Diagnosa Khusus * Diare
N Percent N Percent N Percent
Valid Missing Total
Cases
Diagnosa Khusus * Diare Crosstabulation
Count
Tidak Ya Diare
Chi-Square Tests
12.578b 1 .000
10.395 1 .001 14.291 1 .000
.001 .000 12.326 1 .000
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 6. 50.
b.
Tests of Homogeneity of the Odds Ratio
.000 0 .
.000 0 .
Breslow-Day Tarone's
Chi-Squared df
Asymp. Sig. (2-sided)
Tests of Conditional Independence
12.578 1 .000 10.187 1 .001 Cochran's
Mantel-Haenszel
Chi-Squared df
Asymp. Sig. (2-sided)
Crosstabs
[DataSet3] C:\Users\asus\Downloads\data kiky.sav
Mantel-Haenszel Common Odds Ratio Estimate
22.154 3.098 1.096 .005 2.584 189.951 .949 5.247 Estimate
ln(Estimate)
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
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.
Case Processing Summary
50 100.0% 0 .0% 50 100.0% pengolahank * Diare
N Percent N Percent N Percent
Valid Missing Total
Cases
pengolahank * Diare Crosstabulation
Count
11 2 13
14 23 37
25 25 50
Baik Kurang Baik pengolahank
Total
Tidak Ya Diare
Chi-Square Tests
8.420b 1 .004
6.653 1 .010
9.071 1 .003
.008 .004
8.252 1 .004
50 Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases
Value df
Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Computed only for a 2x2 table a.
0 cells (.0%) have expected count less than 5. The minimum expected count is 6. 50.
b.
Mantel-Haenszel Common Odds Ratio Estimate
9.036
Std. Error of ln(Estimate) Asymp. Sig. (2-sided)
Lower Bound Upper Bound Common Odds
Ratio
Lower Bound Upper Bound ln(Common
Odds Ratio) Asymp. 95% Confidence
Interval
The Mantel-Haenszel common odds ratio estimate is asymptotically normally
