Hubungan Pengolahan Air Sumur Gali dengan Kejadian Diare di Wilayah TPA Muara Fajar Kota Pekanbaru Tahun 2017

77

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
Untuk Perbaikan pada nomor/butir 1 s/d 10
Petugas
(…………………….)

Universitas Sumatera Utara

78

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 buahbuahan?
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 :
2 = Memanfaatkan air sumur gali.
1 = Tidak memanfaatkan air sumur gali.
Skala : Ordinal

Universitas Sumatera Utara

79

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)?
1.Ada, siapa : 2.Tidak

Universitas Sumatera Utara

80
Lampiran 2 : Master Data
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

23

27

2

1

2

5

2

2

2

2

`1

1

2

1

2

1

2

2

2

2

1

1

1

1

2

2

8

2

24

22

2

2

2

2

2

2

2

2

1

1

1

1

2

1

2

2

2

1

0

0

0

0

0

2

1

2

25

22

2

2

1

5

2

2

2

2

1

1

2

2

2

1

1

2

2

2

1

1

1

1

2

2

8

2

26

50

4

2

3

5

2

1

2

1

1

1

1

1

2

1

2

1

1

2

2

1

1

2

2

1

10

1

27
28

45
24

4
2

2
1

2
2

5
1

2
2

1
1

2
2

1
2

1
1

1
1

1
1

1
1

2
2

1
2

1
1

1
1

1
1

1
1

1
1

1
1

1
1

2
1

2
2

1
1

10
8

1
2

Universitas Sumatera Utara

81
Lampiran 2 : Master Data
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50

24
28
41
31
28
28
32
40
52
45
26
43
28
27
20
31
45
45
35
37
27
29

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

1
2
1
2
2
1
1
1
2
2
2
1
1
1
2
1
2
2
2
2
1
1

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

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

2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
2
2
2
2
2
2
2

1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1

2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2

2
2
2
2
1
2
2
1
1
1
2
2
1
1
2
1
1
2
1
2
2
2

1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1

1
1
1
2
2
1
1
2
1
1
2
1
1
1
1
1
2
1
1
1
1
1

2
1
1
1
1
1
1
1
1
1
2
1
2
1
1
1
1
1
1
1
1
1

1
1
1
1
1
2
1
2
1
1
1
1
1
1
1
1
1
1
1
2
1
1

1
1
1
1
1
2
1
2
2
1
1
1
1
1
2
1
1
1
2
2
1
1

1
1
1
1
1
1
1
2
1
1
1
2
1
1
1
1
1
1
1
1
1
1

1
1
1
2
1
1
1
2
1
1
1
1
2
1
1
1
1
1
2
1
1
1

2
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1

1
1
1
2
2
1
1
2
1
1
2
1
1
1
1
1
2
1
1
1
1
1

1
2
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
2
1
1
1

1
2
1
2
1
1
1
2
1
1
1
1
1
1
2
1
1
1
2
1
1
1

1
1
1
0
1
0
1
1
1
1
1
1
1
1
0
1
1
1
1
1
1
1

1
1
1
0
2
0
1
1
1
2
1
1
1
1
0
2
2
2
2
2
1
2

1
1
2
0
1
0
1
2
2
2
2
2
2
2
0
1
1
1
1
1
2
1

2
2
1
0
1
0
2
2
1
1
1
1
2
1
0
2
1
1
2
1
1
1

1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

8
8
8
1
9
1
8
10
9
10
8
8
10
9
1
10
9
8
9
8
8
8

2
2
2
2
1
2
2
1
1
1
2
2
1
1
2
1
1
2
1
2
2
2

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Lampiran 3 Hasil Pengolahan Data

DATA KASUS
Frequencies
Umur Responden

Valid

20-29
30-39
40-49
Total

Frequency
12
10
3
25

Percent
48.0
40.0
12.0
100.0

Valid Percent
48.0
40.0
12.0
100.0

Cumulative
Percent
48.0
88.0
100.0

Jenis Kelamin responden

Valid

Laki-laki
Perempuan
Total

Frequency
12
13
25

Percent
48.0
52.0
100.0

Valid Percent
48.0
52.0
100.0

Cumulative
Percent
48.0
100.0

Pendidikan Responden

Valid

Tamat SD
Tamat SMP
Tamat SMA
Perguruan Tinggi
Total

Frequency
7
11
6
1
25

Percent
28.0
44.0
24.0
4.0
100.0

Valid Percent
28.0
44.0
24.0
4.0
100.0

Cumulative
Percent
28.0
72.0
96.0
100.0

Penghasilan Responden

Valid

Rendah
Tinggi
Total

Frequency
8
17
25

Percent
32.0
68.0
100.0

Valid Percent
32.0
68.0
100.0

Cumulative
Percent
32.0
100.0

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83
Pekerjaan Responden

Valid

Frequency
3
4
4
2
12
25

Petani
Pedagang
Pegawai Swasta
PNS
Lain-lain
Total

Percent
12.0
16.0
16.0
8.0
48.0
100.0

Valid Percent
12.0
16.0
16.0
8.0
48.0
100.0

Cumulative
Percent
12.0
28.0
44.0
52.0
100.0

Sanitasi Sumur Gali

Valid

Rendah
Tinggi
Total

Frequency
13
12
25

Percent
52.0
48.0
100.0

Valid Percent
52.0
48.0
100.0

Cumulative
Percent
52.0
100.0

SANITASI SUMUR GALI
Frequency Table
Jamban

Valid

Tidak
Ya
Total

Frequency
12
13
25

Percent
48.0
52.0
100.0

Valid Percent
48.0
52.0
100.0

Cumulative
Percent
48.0
100.0

Sumur Pencemar

Valid

Tidak
Ya
Total

Frequency
19
6
25

Percent
76.0
24.0
100.0

Valid Percent
76.0
24.0
100.0

Cumulative
Percent
76.0
100.0

Genangan Air

Valid

Tidak
Ya
Total

Frequency
18
7
25

Percent
72.0
28.0
100.0

Valid Percent
72.0
28.0
100.0

Cumulative
Percent
72.0
100.0

Universitas Sumatera Utara

84

Saluran Pembuangan Air Limbah

Valid

Tidak
Ya
Total

Frequency
15
10
25

Percent
60.0
40.0
100.0

Valid Percent
60.0
40.0
100.0

Cumulative
Percent
60.0
100.0

Lantai Semen

Valid

Tidak
Ya
Total

Frequency
13
12
25

Percent
52.0
48.0
100.0

Valid Percent
52.0
48.0
100.0

Cumulative
Percent
52.0
100.0

Genangan Air di Lantai Semen Sumut

Valid

Tidak
Ya
Total

Frequency
14
11
25

Percent
56.0
44.0
100.0

Valid Percent
56.0
44.0
100.0

Cumulative
Percent
56.0
100.0

Hulu Intake

Valid

Tidak
Ya
Total

Frequency
19
6
25

Percent
76.0
24.0
100.0

Valid Percent
76.0
24.0
100.0

Cumulative
Percent
76.0
100.0

Ember dan Tali Timba Diletakkan

Valid

Tidak
Ya
Total

Frequency
14
11
25

Percent
56.0
44.0
100.0

Valid Percent
56.0
44.0
100.0

Cumulative
Percent
56.0
100.0

Universitas Sumatera Utara

85
Bibir Sumur

Valid

Tidak
Ya
Total

Frequency
15
10
25

Percent
60.0
40.0
100.0

Valid Percent
60.0
40.0
100.0

Cumulative
Percent
60.0
100.0

Dinding Sumur

Valid

Tidak
Ya
Total

Frequency
12
13
25

Percent
48.0
52.0
100.0

Valid Percent
48.0
52.0
100.0

Cumulative
Percent
48.0
100.0

Pemanfaatan Air Sumur Gali

Valid

Memanfaatkan

Frequency
25

Percent
100.0

Valid Percent
100.0

Cumulative
Percent
100.0

Frequency Table
Pengolahan Air Sumur Gali

Valid

Tidak
Ya
Total

Frequency
10
15
25

Percent
40.0
60.0
100.0

Valid Percent
40.0
60.0
100.0

Cumulative
Percent
40.0
100.0

Jenis Pengolahan AIr Sumur Gali

Valid

0
Sebagian
Total

Frequency
10
15
25

Percent
40.0
60.0
100.0

Valid Percent
40.0
60.0
100.0

Cumulative
Percent
40.0
100.0

Universitas Sumatera Utara

86
Pengolahan Air Sumur Gali (Penggunaan)

Valid

0
Tidak
Ya
Total

Frequency
10
14
1
25

Percent
40.0
56.0
4.0
100.0

Valid Percent
40.0
56.0
4.0
100.0

Cumulative
Percent
40.0
96.0
100.0

Penyaringan

Valid

0
Tidak
Ya
Total

Frequency
10
14
1
25

Percent
40.0
56.0
4.0
100.0

Valid Percent
40.0
56.0
4.0
100.0

Cumulative
Percent
40.0
96.0
100.0

Pengendapan

Valid

0
Tidak
Ya
Total

Frequency
10
14
1
25

Percent
40.0
56.0
4.0
100.0

Valid Percent
40.0
56.0
4.0
100.0

Cumulative
Percent
40.0
96.0
100.0

Pemasakan

Valid

0
Tidak
Ya
Total

Frequency
10
1
14
25

Percent
40.0
4.0
56.0
100.0

Valid Percent
40.0
4.0
56.0
100.0

Cumulative
Percent
40.0
44.0
100.0

Universitas Sumatera Utara

87
Diare

Valid

Ya

Frequency
25

Percent
100.0

Valid Percent
100.0

Cumulative
Percent
100.0

Umur Kasus

Valid

1
2
3
4
5
Total

Frequency
3
14
3
2
3
25

Percent
12.0
56.0
12.0
8.0
12.0
100.0

Valid Percent
12.0
56.0
12.0
8.0
12.0
100.0

Cumulative
Percent
12.0
68.0
80.0
88.0
100.0

Jenis Kelamin Kasus

Valid

Laki Laki
Perempuan
Total

Frequency
12
13
25

Percent
48.0
52.0
100.0

Valid Percent
48.0
52.0
100.0

Cumulative
Percent
48.0
100.0

DATA KONTROL

Frequency Table
Umur Responden

Valid

20-29
30-39
40-49
50-59
Total

Frequency
11
5
7
2
25

Percent
44.0
20.0
28.0
8.0
100.0

Valid Percent
44.0
20.0
28.0
8.0
100.0

Cumulative
Percent
44.0
64.0
92.0
100.0

Jenis Kelamin Responden

Valid

Laki-laki
Perempuan
Total

Frequency
12
13
25

Percent
48.0
52.0
100.0

Valid Percent
48.0
52.0
100.0

Cumulative
Percent
48.0
100.0

Universitas Sumatera Utara

88
Pendidikan Responden

Valid

Frequency
2
11
9
3
25

Tamat SD
Tamat SMP
Tamat SMA
Tamat Perguruan Tinggi
Total

Percent
8.0
44.0
36.0
12.0
100.0

Valid Percent
8.0
44.0
36.0
12.0
100.0

Cumulative
Percent
8.0
52.0
88.0
100.0

Pekerjaan Responden

Valid

Frequency
6
2
3
2
12
25

Petani
Pedagang
Pegawai Swasta
PNS
Lain-lain
Total

Percent
24.0
8.0
12.0
8.0
48.0
100.0

Valid Percent
24.0
8.0
12.0
8.0
48.0
100.0

Cumulative
Percent
24.0
32.0
44.0
52.0
100.0

Penghasilan Responden

Valid

Rendah
Tinggi
Total

Frequency
1
24
25

Percent
4.0
96.0
100.0

Valid Percent
4.0
96.0
100.0

Cumulative
Percent
4.0
100.0

SANITASI SUMUR GALI
Jamban

Valid

Tidak
Ya
Total

Frequency
20
5
25

Percent
80.0
20.0
100.0

Valid Percent
80.0
20.0
100.0

Cumulative
Percent
80.0
100.0

Sumur Pencemar

Valid

Tidak
Ya
Total

Frequency
22
3
25

Percent
88.0
12.0
100.0

Valid Percent
88.0
12.0
100.0

Cumulative
Percent
88.0
100.0

Universitas Sumatera Utara

89

Genangan Air

Valid

Tidak
Ya
Total

Frequency
22
3
25

Percent
88.0
12.0
100.0

Valid Percent
88.0
12.0
100.0

Cumulative
Percent
88.0
100.0

Saluran Pembuangan Air Limbah

Valid

Tidak
Ya
Total

Frequency
16
9
25

Percent
64.0
36.0
100.0

Valid Percent
64.0
36.0
100.0

Cumulative
Percent
64.0
100.0

Lantai Semen

Valid

Tidak
Ya
Total

Frequency
22
3
25

Percent
88.0
12.0
100.0

Valid Percent
88.0
12.0
100.0

Cumulative
Percent
88.0
100.0

Genangan Air di Lantai Semen Sumut

Valid

Tidak
Ya
Total

Frequency
20
5
25

Percent
80.0
20.0
100.0

Valid Percent
80.0
20.0
100.0

Cumulative
Percent
80.0
100.0

Hulu Intake

Valid

Tidak
Ya
Total

Frequency
23
2
25

Percent
92.0
8.0
100.0

Valid Percent
92.0
8.0
100.0

Cumulative
Percent
92.0
100.0

Universitas Sumatera Utara

90
Ember dan Tali Timba Diletakkan

Valid

Tidak
Ya
Total

Frequency
20
5
25

Percent
80.0
20.0
100.0

Valid Percent
80.0
20.0
100.0

Cumulative
Percent
80.0
100.0

Bibir Sumur

Valid

Tidak
Ya
Total

Frequency
21
4
25

Percent
84.0
16.0
100.0

Valid Percent
84.0
16.0
100.0

Cumulative
Percent
84.0
100.0

Dinding Sumur

Valid

Tidak
Ya
Total

Frequency
19
6
25

Percent
76.0
24.0
100.0

Valid Percent
76.0
24.0
100.0

Cumulative
Percent
76.0
100.0

Sanitasi Sumur Gali

Valid

Rendah
Tinggi
Total

Frequency
24
1
25

Percent
96.0
4.0
100.0

Valid Percent
96.0
4.0
100.0

Cumulative
Percent
96.0
100.0

PENGOLAHAN AIR SUMUR GALI
Pengolahan Air Sumur Gali

Valid

Tidak
Ya
Total

Frequency
3
22
25

Percent
12.0
88.0
100.0

Valid Percent
12.0
88.0
100.0

Cumulative
Percent
12.0
100.0

Universitas Sumatera Utara

91
Pengolahan Air Sumur Gali (Penggunaan)

Valid

0
Tidak
Ya
Total

Frequency
3
12
10
25

Percent
12.0
48.0
40.0
100.0

Valid Percent
12.0
48.0
40.0
100.0

Cumulative
Percent
12.0
60.0
100.0

Jenis Pengolahan Air Sumur Gali

Valid

0
Sebagian
Total

Frequency
3
22
25

Percent
12.0
88.0
100.0

Valid Percent
12.0
88.0
100.0

Cumulative
Percent
12.0
100.0

Penyaringan

Valid

0
Tidak
Ya
Total

Frequency
3
14
8
25

Percent
12.0
56.0
32.0
100.0

Valid Percent
12.0
56.0
32.0
100.0

Cumulative
Percent
12.0
68.0
100.0

Pengendapan

Valid

0
Tidak
Ya
Total

Frequency
3
11
11
25

Percent
12.0
44.0
44.0
100.0

Valid Percent
12.0
44.0
44.0
100.0

Cumulative
Percent
12.0
56.0
100.0

Pemasakan

Valid

0
Tidak
Ya
Total

Frequency
3
12
10
25

Percent
12.0
48.0
40.0
100.0

Valid Percent
12.0
48.0
40.0
100.0

Cumulative
Percent
12.0
60.0
100.0

Universitas Sumatera Utara

92
Diare

Valid

Tidak

Frequency
25

Percent
100.0

Valid Percent
100.0

Cumulative
Percent
100.0

Umur Kontrol

Valid

1
2
3
4
5
Total

Frequency
3
14
3
2
3
25

Percent
12.0
56.0
12.0
8.0
12.0
100.0

Valid Percent
12.0
56.0
12.0
8.0
12.0
100.0

Cumulative
Percent
12.0
68.0
80.0
88.0
100.0

Jenis Kelamin Kontrol

Valid

Laki-laki
Perempuan
Total

Frequency
12
13
25

Percent
48.0
52.0
100.0

Valid Percent
48.0
52.0
100.0

Cumulative
Percent
48.0
100.0

Universitas Sumatera Utara

93
DATA KASUS DAN KONTROL

Crosstabs
[DataSet2] D:\bahan skripsi\data kiky.sav

Case Processing Summary
Cases
Missing
N
Percent
0
.0%
0
.0%
0
.0%

Valid
N
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

50
50
50

Percent
100.0%
100.0%
100.0%

50

100.0%

0

50

100.0%

50

Total
N
50
50
50

Percent
100.0%
100.0%
100.0%

.0%

50

100.0%

0

.0%

50

100.0%

100.0%

0

.0%

50

100.0%

50

100.0%

0

.0%

50

100.0%

50

100.0%

0

.0%

50

100.0%

50
50

100.0%
100.0%

0
0

.0%
.0%

50
50

100.0%
100.0%

Jamban * Diare
Crosstab
Count

Jamban
Total

Tidak
Ya

Diare
Tidak
20
5
25

Ya

Total
12
13
25

32
18
50

Universitas Sumatera Utara

94
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
5.556b
4.253
5.704

Asymp. Sig.
(2-sided)
.018
.039
.017

df
1
1
1

5.444

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.038

.019

.020

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 9.
00.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
5.556
4.168

df
1
1

Asymp. Sig.
(2-sided)
.018
.041

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.

Universitas Sumatera Utara

95
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

4.333
1.466
.641
.022
1.235
15.206
.211
2.722

Lower Bound
Upper Bound
Lower Bound
Upper Bound

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.

Sumur Pencemar * Diare
Crosstab
Count
Diare
Sumur Pencemar

Tidak
22
3
25

Tidak
Ya

Total

Ya

Total
19
6
25

41
9
50

Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
1.220b
.542
1.239

df
1
1
1

1.195

Asymp. Sig.
(2-sided)
.269
.462
.266

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.463

.232

.274

50

a. Computed only for a 2x2 table
b. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 4.
50.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Universitas Sumatera Utara

96

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
1.220
.531

df
1
1

Asymp. Sig.
(2-sided)
.269
.466

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
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio

Lower Bound
Upper Bound
Lower Bound
Upper Bound

ln(Common
Odds Ratio)

2.316
.840
.773
.278
.509
10.543
-.676
2.356

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.

Genangan Air * Diare
Crosstab
Count

Genangan
Air
Total

Tidak
Ya

Diare
Tidak
22
3
25

Ya

Total
18
7
25

40
10
50

Universitas Sumatera Utara

97
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
2.000b
1.125
2.046

Asymp. Sig.
(2-sided)
.157
.289
.153

df
1
1
1

1.960

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.289

.145

.162

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.
00.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
2.000
1.103

df
1
1

Asymp. Sig.
(2-sided)
.157
.294

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.

Universitas Sumatera Utara

98
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio

2.852
1.048
.760
.168
.643
12.642
-.441
2.537

Lower Bound
Upper Bound
Lower Bound
Upper Bound

ln(Common
Odds Ratio)

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.

Saluran Pembuangan Air Limbah * Diare
Crosstab
Count
Diare
Saluran Pembuangan
Air Limbah

Tidak
16
9
25

Tidak
Ya

Total

Ya

Total
15
10
25

31
19
50

Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
.085b
.000
.085

df
1
1
1

.083

Asymp. Sig.
(2-sided)
.771
1.000
.771

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

1.000

.500

.773

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 9.
50.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Universitas Sumatera Utara

99

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
.085
.000

Asymp. Sig.
(2-sided)
.771
1.000

df
1
1

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
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

Lower Bound
Upper Bound
Lower Bound
Upper Bound

1.185
.170
.583
.771
.378
3.718
-.973
1.313

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.

Lantai Semen * Diare
Crosstab
Count

Lantai Semen
Total

Tidak
Ya

Diare
Tidak
22
3
25

Ya

Total
13
12
25

35
15
50

Universitas Sumatera Utara

100
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
7.714b
6.095
8.123

Asymp. Sig.
(2-sided)
.005
.014
.004

df
1
1
1

7.560

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.012

.006

.006

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 7.
50.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
7.714
5.973

df
1
1

Asymp. Sig.
(2-sided)
.005
.015

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.

Universitas Sumatera Utara

101
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio

6.769
1.912
.734
.009
1.605
28.542
.473
3.351

Lower Bound
Upper Bound
Lower Bound
Upper Bound

ln(Common
Odds Ratio)

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.

Genangan Air di Lantai Semen * Diare
Crosstab
Count
Diare
Genangan Air di Lantai
Semen Sumut

Tidak
Ya

Total

Tidak
20
5
25

Ya

Total
14
11
25

34
16
50

Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
3.309b
2.298
3.370

df
1
1
1

3.243

Asymp. Sig.
(2-sided)
.069
.130
.066

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.128

.064

.072

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 8.
00.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Universitas Sumatera Utara

102

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
3.309
2.252

df
1
1

Asymp. Sig.
(2-sided)
.069
.133

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
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio

Lower Bound
Upper Bound
Lower Bound
Upper Bound

ln(Common
Odds Ratio)

3.143
1.145
.642
.075
.893
11.064
-.113
2.404

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.

Hulu Intake * Diare
Crosstab
Count

Hulu Intake
Total

Tidak
Ya

Diare
Tidak
23
2
25

Ya

Total
19
6
25

42
8
50

Universitas Sumatera Utara

103
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
2.381b
1.339
2.475

Asymp. Sig.
(2-sided)
.123
.247
.116

df
1
1
1

2.333

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.247

.123

.127

50

a. Computed only for a 2x2 table
b. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 4.
00.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
2.381
1.313

df
1
1

Asymp. Sig.
(2-sided)
.123
.252

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.

Universitas Sumatera Utara

104
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio

3.632
1.290
.873
.140
.656
20.115
-.422
3.001

Lower Bound
Upper Bound
Lower Bound
Upper Bound

ln(Common
Odds Ratio)

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.

Ember dan Tali Timba Diletakkan * Diare
Crosstab
Count
Diare
Ember dan Tali Timba
Diletakkan

Tidak
20
5
25

Tidak
Ya

Total

Ya

Total
14
11
25

34
16
50

Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
3.309b
2.298
3.370

df
1
1
1

3.243

Asymp. Sig.
(2-sided)
.069
.130
.066

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.128

.064

.072

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 8.
00.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Universitas Sumatera Utara

105

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
3.309
2.252

df
1
1

Asymp. Sig.
(2-sided)
.069
.133

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
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio

Lower Bound
Upper Bound
Lower Bound
Upper Bound

ln(Common
Odds Ratio)

3.143
1.145
.642
.075
.893
11.064
-.113
2.404

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.

Bibir Sumur * Diare
Crosstab
Count
Diare
Bibir Sumur
Total

Tidak
Ya

Tidak
21
4
25

Ya

Total
15
10
25

36
14
50

Universitas Sumatera Utara

106
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
3.571b
2.480
3.661

Asymp. Sig.
(2-sided)
.059
.115
.056

df
1
1
1

3.500

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.114

.057

.061

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 7.
00.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
3.571
2.431

df
1
1

Asymp. Sig.
(2-sided)
.059
.119

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.

Universitas Sumatera Utara

107
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

3.500
1.253
.681
.066
.921
13.307
-.083
2.588

Lower Bound
Upper Bound
Lower Bound
Upper Bound

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.

Dinding Sumur * Diare
Crosstab
Count
Diare
Dinding
Sumur

Tidak
Ya

Total

Tidak
19
6
25

Ya

Total
12
13
25

31
19
50

Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
4.160b
3.056
4.235

df
1
1
1

4.076

Asymp. Sig.
(2-sided)
.041
.080
.040

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.079

.040

.043

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 9.
50.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Universitas Sumatera Utara

108

Tests of Conditional Independence
Chi-Squared
4.160
2.995

Cochran's
Mantel-Haenszel

df
1
1

Asymp. Sig.
(2-sided)
.041
.084

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
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

3.431
1.233
.616
.045
1.026
11.476
.025
2.440

Lower Bound
Upper Bound
Lower Bound
Upper Bound

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.

Crosstabs
[DataSet2] D:\bahan skripsi\data kiky.sav

Case Processing Summary

Valid
N
C1 * Diare

50

Percent
100.0%

Cases
Missing
N
Percent
0
.0%

Total
N
50

Percent
100.0%

Universitas Sumatera Utara

109
C1 * Diare Crosstabulation
Count
Diare
C1

Tidak
10
15
25

Tidak
Ya

Total

Tidak

Total

3
22
25

13
37
50

Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
5.094b
3.742
5.309

Asymp. Sig.
(2-sided)
.024
.053
.021

df
1
1
1

4.992

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.051

.025

.025

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 6.
50.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
5.094
3.667

df
1
1

Asymp. Sig.
(2-sided)
.024
.055

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.

Universitas Sumatera Utara

110
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

4.889
1.587
.739
.032
1.150
20.790
.139
3.034

Lower Bound
Upper Bound
Lower Bound
Upper Bound

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.

Crosstabs
[DataSet3] D:\bahan skripsi\data pengolahan air.sav

Case Processing Summary

Valid
N
C2 * Diare
C3 * Diare
C4a * Diare
C4b * Diare
C4c * Diare

Percent
100.0%
100.0%
100.0%
100.0%
100.0%

37
37
37
37
37

Cases
Missing
N
Percent
0
.0%
0
.0%
0
.0%
0
.0%
0
.0%

Total
N
37
37
37
37
37

Percent
100.0%
100.0%
100.0%
100.0%
100.0%

C2 * Diare
Crosstab
Count
Diare
Ya
C2
Total

Tidak
Ya

14
1
15

Tidak
12
10
22

Total
26
11
37

Universitas Sumatera Utara

111
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
6.423b
4.701
7.369

Asymp. Sig.
(2-sided)
.011
.030
.007

df
1
1
1

6.249

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.014

.012

.012

37

a. Computed only for a 2x2 table
b. 1 cells (25.0%) have expected count less than 5. The minimum expected count is 4.
46.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
6.423
4.574

df
1
1

Asymp. Sig.
(2-sided)
.011
.032

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.

Universitas Sumatera Utara

112
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

Lower Bound
Upper Bound
Lower Bound
Upper Bound

11.667
2.457
1.120
.028
1.299
104.817
.261
4.652

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.

C3 * Diare
Crosstab
Count
Diare
Ya
C3
Total

Sebagian

Tidak
22
22

15
15

Total
37
37

Chi-Square Tests
Value
.a
37

Pearson Chi-Square
N of Valid Cases

a. No statistics are computed because C3 is a constant.

C4a * Diare
Crosstab
Count
Diare
Ya
C4a
Total

Tidak
Ya

14
1
15

Tidak
14
8
22

Total
28
9
37

Universitas Sumatera Utara

113
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
4.273b
2.812
4.865

Asymp. Sig.
(2-sided)
.039
.094
.027

df
1
1
1

4.158

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.056

.043

.041

37

a. Computed only for a 2x2 table
b. 1 cells (25.0%) have expected count less than 5. The minimum expected count is 3.
65.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
4.273
2.736

df
1
1

Asymp. Sig.
(2-sided)
.039
.098

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.

Universitas Sumatera Utara

114
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

8.000
2.079
1.126
.065
.880
72.700
-.127
4.286

Lower Bound
Upper Bound
Lower Bound
Upper Bound

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.

C4b * Diare
Crosstab
Count
Diare
Ya
C4b

Tidak
Ya

Tidak
11
11
22

14
1
15

Total

Total
25
12
37

Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
7.643b
5.793
8.780

df
1
1
1

7.436

Asymp. Sig.
(2-sided)
.006
.016
.003

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.011

.006

.006

37

a. Computed only for a 2x2 table
b. 1 cells (25.0%) have expected count less than 5. The minimum expected count is 4.
86.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Universitas Sumatera Utara

115

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
7.643
5.636

df
1
1

Asymp. Sig.
(2-sided)
.006
.018

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
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

Lower Bound
Upper Bound
Lower Bound
Upper Bound

14.000
2.639
1.119
.018
1.560
125.613
.445
4.833

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.

C4c * Diare
Crosstab
Count
Diare
Ya
C4c
Total

Tidak
Ya

1
14
15

Tidak
12
10
22

Total
13
24
37

Universitas Sumatera Utara

116
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
8.971b
6.993
10.308

Asymp. Sig.
(2-sided)
.003
.008
.001

df
1
1
1

8.729

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.004

.003

.003

37

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.
27.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
8.971
6.804

df
1
1

Asymp. Sig.
(2-sided)
.003
.009

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.

Universitas Sumatera Utara

117
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

.060
-2.821
1.120
.012
.007
.535
-5.017
-.626

Lower Bound
Upper Bound
Lower Bound
Upper Bound

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.

Crosstabs
[DataSet2] D:\bahan skripsi\data kiky.sav

Case Processing Summary
Cases
Missing
N
Percent

Valid
N
Diagnosa
Khusus * Diare

Percent
50

100.0%

0

.0%

Total
N

Percent
50

100.0%

Diagnosa Khusus * Diare Crosstabulation
Count

Diagnosa
Khusus
Total

Rendah
Tinggi

Diare
Tidak
24
1
25

Ya

Total
13
12
25

37
13
50

Universitas Sumatera Utara

118
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
12.578b
10.395
14.291

Asymp. Sig.
(2-sided)
.000
.001
.000

df
1
1
1

12.326

1

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.001

.000

.000

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 6.
50.

Tests of Homogeneity of the Odds Ratio

Breslow-Day
Tarone's

Chi-Squared
.000
.000

df
0
0

Asymp. Sig.
(2-sided)
.
.

Tests of Conditional Independence

Cochran's
Mantel-Haenszel

Chi-Squared
12.578
10.187

df
1
1

Asymp. Sig.
(2-sided)
.000
.001

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.

Universitas Sumatera Utara

119
Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

22.154
3.098
1.096
.005
2.584
189.951
.949
5.247

Lower Bound
Upper Bound
Lower Bound
Upper Bound

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.

Crosstabs
[DataSet3] C:\Users\asus\Downloads\data kiky.sav

Case Processing Summary
Cases
Missing
N
Percent
0
.0%

Valid
N
pengolahank * Diare

50

Percent
100.0%

Total
N
50

Percent
100.0%

pengolahank * Diare Crosstabulation
Count
Diare
pengolahank
Total

Baik
Kurang Baik

Tidak
11
14
25

Ya

Total
2
23
25

13
37
50

Universitas Sumatera Utara

120
Chi-Square Tests

Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

Value
8.420b
6.653
9.071

df

8.252

1
1
1

1

Asymp. Sig.
(2-sided)
.004
.010
.003

Exact Sig.
(2-sided)

Exact Sig.
(1-sided)

.008

.004

.004

50

a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 6.
50.

Mantel-Haenszel Common Odds Ratio Estimate
Estimate
ln(Estimate)
Std. Error of ln(Estimate)
Asymp. Sig. (2-sided)
Asymp. 95% Confidence
Interval

Common Odds
Ratio
ln(Common
Odds Ratio)

Lower Bound
Upper Bound
Lower Bound
Upper Bound

9.036
2.201
.840
.009
1.741
46.890
.555
3.848

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

121

Lampiran 4 : Surat-Surat

Universitas Sumatera Utara

122

Universitas Sumatera Utara

123

Universitas Sumatera Utara

124

Universitas Sumatera Utara

125

Lampiran 5 : Dokumentasi Penelitian

Gambar Lampiran 1 Lokasi TPA Muara Fajar Pekanbaru

Gambar Lampiran 2 TPA Muara Fajar Pekanbaru

Universitas Sumatera Utara

126

Gambar Lampiran 3 Kondisi TPA Muara Fajar Pekanbaru

Gambar Lampiran 4 Rumah Penduduk di Sekitar TPA Muara Fajar Pekanbaru

Universitas Sumatera Utara

127

Gambar Lampiran 5 Rumah Penduduk di Sekitar TPA Muara Fajar

Gambar Lampiran 6 Sumur Gali Penduduk 1

Universitas Sumatera Utara

128

Gambar Lampiran 7 Sumur Gali Penduduk 2

Gambar Lampiran 8 Sumur Gali Penduduk 3

Universitas Sumatera Utara

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Gambar Lampiran 9 Kondisi Air Sumur Gali

Gambar Lamipran 10 Pengolahan Air Sumur Gali dengan Penyaringan

Universitas Sumatera Utara

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Gambar Lampiran 11 Pengolahan Air Sumur Gali dengan Pengendapan

Gambar Lampiran 12 Pengumpulan Data Diare di Puskesmas Muara Fajar

Universitas Sumatera Utara

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Gambar Lampiran 13 Pengumpulan Data Dengan Kuisioner di Lapangan

Gambar Lampiran 14 Pengumpulan Data dengan Kuisioner di Lapangan (2)

Universitas Sumatera Utara