Pengaruh Faktor Lingkungan Dan Perilaku Terhadap Kejadian Malaria Di Kecamatan Siabu Kabupaten Mandailing Natal Tahun 2015
Lampiran Kuesioner
KUESIONER PENELITIAN
PENGARUH FAKTOR LINGKUNGAN DAN PERILAKU TERHADAP
KEJADIAN MALARIA DI KECAMATAN SIABU
KABUPATEN MANDAILING NATAL
TAHUN 2015
No. Rumah
:
Desa
:
Tanggal Wawancara :
A. IDENTITAS RESPONDEN
a. Nama
:
b. Umur
:
c. Jenis Kelamin : 1. Laki-laki 2. Wanita
d. Pekerjaan
: 1. Petani
2. Nelayan
4. Pegawai Swasta
3. Pedagang
5. PNS/TNI/POLRI
e. Apakah Bapak / Ibu pernah mengalami penyakit malaria dengan gejala :
demam, panas, mengigil, berkeringat dalam waktu 6 bulan terakhir…?
Jawaban
: 1. Pernah
2. Tidak pernah
B. PENGETAHUAN
Petunjuk :
Jawablah pertanyaan dibawah ini menurut Anda paling benar dengan cara memberi
contreng / checklist
1. Menurut Anda apakah penyakit malaria itu?
a. Penyakit yang disebabkan oleh nyamuk (1)
b. Penyakit yang disebabkan oleh virus dengue (0)
c. Penyakit yang disebabkan oleh Protozoa yang disebut Plasmodium (2)
145
146
2. Menurut anda, bagaimana cara penularan penyakit malaria?
a. Melalui gigitan nyamuk (1)
b. Melalui gigitan nyamuk anopheles (2)
c. Melalui makanan (0)
3. Pada umumnya penyakit malaria ditularkan ke manusia melalui gigitan?
a. Nyamuk Anopheles (2)
b. Nyamuk Aedes Aegypti (1)
c. Nyamuk Culex (0)
4. Menurut anda bagaimana gejala penyakit malaria?
a. Demam panas, mengigigil (0)
b. Demam panas, mengigigil, berkeringat dan disertai sakit kepala, mual
dan muntah (2)
c. Demam panas, terdapat bintik-bintik merah di kulit (1)
5. Dimana nyamuk malaria bersarang?
a. Air mengalir seperti sungai (0)
b. Air yang tergenang dan memiliki dasar tanah seperti rawa-rawa dan
kolam ikan (2)
c. Air yang terdapat di dalam wadah seperti tong air, tempayan, bak
mandi yang terbuat dari semen dan kaleng bekas (1)
6. Menurut anda siapa saja yang dapat terkena penyakit malaria?
a. Semua golongan umur (2)
b. Hanya terjadi pada orang yang bekerja di tengah hutan (0)
c. Dapat terjadi pada bayi dan ibu hamil (1)
7. Dimanakah nyamuk malaria suka hinggap?
a. Di bak mandi (0)
b. Di kandang ternak, semak belukar dan dinding rumah (2)
c. Di baju yang bergantungan di dalam rumah (1)
147
8. Menurut anda, bagaimana cara mencegah gigitan nyamuk malaria?
a. Memasang kawat kasa pada ventilasi rumah dan menggunakan obar
nyamuk bakar / semprot pada malam hari (1)
b. Menutup tempayan dan mengubur barang-barang bekas (0)
c. Memasang kawat kasa pada ventilasi rumah, menggunakan kelambu
pada saat tidur di malam hari, menggunakan obat nyamuk bakar atau
semprot, apabila keluar pada malam hari selalu menggunakan obat
nyamuk oles dan pakaian tertutup serta menghindari keluar pada
malam hari (2)
9. Menurut anda, kapan nyamuk malaria menggigit manusia?
a. Senja hingga malam hari (2)
b. Pagi hari dan sore hari (0)
c. Ketika tidur di malam hari (1)
10. Menurut anda, jenis ikan apa saja yang memakan jentik nyamuk penyebab
malaria?
a. Kepala timah, nila, gabus, mujair (2)
b. Nila dan gabus (1)
c. Tidak tahu (0)
C. SIKAP
No Pernyataan
SS
1 Penyakit malaria adalah salah satu penyakit (4)
yang harus diberantas dan diwaspadai oleh
masyarakat
akan
melakukan
pencegahan (4)
2 Saya
penularan penyakit malaria dengan
menjaga kebersihan rumah dan lingkungan
sekitarnya.
3 Saya akan mengikuti penyuluhan dari petugas (4)
kesehatan
tentang
penyakit
malaria,
selanjutnya saya akan melaksanakan tindakan
pencegahan malaria.
S
(3)
TS
(2)
STS
(1)
(3)
(2)
(1)
(3)
(2)
(1)
148
4
5
6
7
8
9
10
11
12
Saya lebih menyukai pencegahan terhadap
gigitan nyamuk penyebab malaria daripada
mengobati setelah sakit
Saya akan menggunakan kelambu ketika
tidur di malam hari untuk mencegah
penyakit malaria
Saya akan melakukan pencegahan penyakit
malaria jika di lingkungan tempat tinggal
sudah ada penderita malaria
Jika saya merasakan gejala penyakit
malaria maka saya akan membiarkan saja.
Saya akan membiarkan genangan air yang
berada di sekitar rumah
Saya hanya perlu membersihkan dan
menjaga lingkungan rumah saya agar
terhindar dari penyakit malaria
Saya tidak memasang kawat kasa pada
ventilasi karena tidak ada hubungannya
dengan penyakit malaria
Saya akan keluar pada malam hari dengan
menggunakan pakaian tertutup dan panjang
untuk mencegaha penyakit malaria
Saya akan mengajak tetangga untuk samasama
menjaga
dan
membersihkan
lingkungan rumah masing-masing agar
terhindar dari penyakit malaria.
(4)
(3)
(2)
(1)
(4)
(3)
(2)
(1)
(1)
(2)
(3)
(4)
(1)
(2)
(3)
(4)
(1)
(2)
(3)
(4)
(4)
(3)
(2)
(1)
(1)
(2)
(3)
(4)
(4)
(3)
(2)
(1)
(4)
(3)
(2)
(1)
D. TINDAKAN
No
1
2
3
4
5
Pernyataan
Apakah anda menggunakan kawat kasa pada ventilasi
rumah?
Apakah anda menggunakan kelambu pada saat tidur
malam hari?
Apakah anda menggunakan obat anti nyamuk pada
saat tidur malam hari?
Apakah anda menggunakan baju lengan panjang ketika
keluar rumah pada malam hari?
Apakah anda menggunakan obat nyamuk oles pada
saat keluar malam hari?
Ya
(1)
Tidak
(0)
(1)
(0)
(1)
(0)
(1)
(0)
(1)
(0)
149
6
7
8
9
10
11
Apakah anda langsung menghubungi petugas
kesehatan apabila anda, keluarga atau tetangga anda
mengalami salah satu dari gejala penyakit malaria?
Apakah anda sering membersihkan lingkungan rumah
sekitar?
Apakah anda menghadiri kegiatan penyuluhan yang
dilakukan oleh petugas kesehatan yang diadakan di
lingkungan rumah anda?
Apakah anda membiarkan apabila terdapat tempat
yang dapat menimbulkan genangan air?
Apakah anda mengikuti kegiatan royong yang
dilakukan di lingkungan anda?
Apakah anda pernah membersihkan semak-semak /
kandang ternak di sekitar lingkungan rumah anda?
(1)
(0)
(1)
(0)
(1)
(0)
(0)
(1)
(1)
(0)
(1)
(0)
150
Lampiran Observasi
Lembar Observasi
PENGARUH FAKTOR LINGKUNGAN DAN PERILAKU TERHADAP
KEJADIAN MALARIA DI KECAMATAN SIABU
KABUPATEN MANDAILING NATAL
TAHUN 2015
No. Rumah
:
Desa
:
Tanggal Observasi
:
E. IDENTITAS RESPONDEN
a. Nama
:
b. Umur
:
c. Jenis Kelamin : 1. Laki-laki 2. Wanita
d. Pekerjaan
: 1. Petani
2. Nelayan
4. Pegawai Swasta
3. Pedagang
5. PNS/TNI/POLRI
F. FAKTOR LINGKUNGAN
1. Lingkungan luar rumah
Tidak ada
Ada
a. Genangan air
b. Parit atau selokan
c. Rawa-rawa
Ada
d. Semak-semak
e. Kandang ternak
Tidak ada
151
2. Lingkungan dalam rumah
a. Kawat kasa pada ventilasi
b. Kerapatan dinding rumah ≥ 1,5
mm
c. Langit-langit rumah
a) Sebagian rumah
b) Seluruh rumah
d. Pakaian yang bergantungan
Ada
Tidak ada
152
Lampiran Output
Crosstabs
GA * Kasus
Crosstab
GA
Tidak Ada
Ada
Total
Kasus
Kasus
Kontrol
21
9
70,0%
30,0%
10
22
31,3%
68,8%
31
31
50,0%
50,0%
Count
% within GA
Count
% within GA
Count
% within GA
Total
30
100,0%
32
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
9,300b
7,815
9,549
9,150
c
1
1
1
As ymp. Sig.
(2-sided)
,002
,005
,002
Exact Sig.
(2-sided)
,005
Exact Sig.
(1-sided)
,002
,005
,005
,002
,002
1
,002
,005
,002
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 15,00.
c. The standardized statistic is 3,025.
Point
Probability
,002
153
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for GA
(Tidak Ada / Ada)
For cohort Kasus
= Kontrol
For cohort Kasus
= Kasus
N of Valid Cases
5,133
1,742
15,131
2,240
1,273
3,940
,436
,241
,791
62
Parit * Kasus
Crosstab
Parit
Tidak Ada
Ada
Total
Count
% within Parit
Count
% within Parit
Count
% within Parit
Kasus
Kontrol
Kasus
17
10
63,0%
37,0%
14
21
40,0%
60,0%
31
31
50,0%
50,0%
Total
27
100,0%
35
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
3,215b
2,362
3,245
3,163
c
1
1
1
As ymp. Sig.
(2-sided)
,073
,124
,072
Exact Sig.
(2-sided)
,124
Exact Sig.
(1-sided)
,062
,124
,124
,062
,062
1
,075
,124
,062
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 13,50.
c. The standardized statistic is 1,778.
Point
Probability
,042
154
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Parit
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
2,550
,907
7,165
1,574
,956
2,591
,617
,352
1,082
62
Sawah * Kasus
Crosstab
Sawah
Tidak Ada
Ada
Total
Count
% within Sawah
Count
% within Sawah
Count
% within Sawah
Kasus
Kontrol
Kasus
21
12
63,6%
36,4%
10
19
34,5%
65,5%
31
31
50,0%
50,0%
Total
33
100,0%
29
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases
Value
5,248b
4,146
5,326
5,163
c
1
1
1
Asymp. Sig.
(2-sided)
,022
,042
,021
Exact Sig.
(2-sided)
,041
Exact Sig.
(1-sided)
,020
,041
,041
,020
,020
1
,023
,041
,020
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count less than 5. The minimum expected count is 14,50.
c. The standardized statistic is 2,272.
Point
Probability
,015
155
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Sawah
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
3,325
1,171
9,442
1,845
1,050
3,244
,555
,329
,936
62
Semak * Kasus
Crosstab
Semak
Tidak Ada
Ada
Total
Kasus
Kontrol
Kasus
20
15
57,1%
42,9%
11
16
40,7%
59,3%
31
31
50,0%
50,0%
Count
% within Semak
Count
% within Semak
Count
% within Semak
Total
35
100,0%
27
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
1,640b
1,050
1,648
1,614
c
1
1
1
As ymp. Sig.
(2-sided)
,200
,306
,199
Exact Sig.
(2-sided)
,306
Exact Sig.
(1-sided)
,153
,306
,306
,153
,153
1
,204
,306
,153
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 13,50.
c. The standardized statistic is 1,270.
Point
Probability
,091
156
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Semak
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
1,939
,700
5,371
1,403
,819
2,402
,723
,441
1,185
62
Ternak * Kasus
Crosstab
Ternak
Tidak Ada
Ada
Total
Kasus
Kontrol
Kasus
17
14
54,8%
45,2%
14
17
45,2%
54,8%
31
31
50,0%
50,0%
Count
% within Ternak
Count
% within Ternak
Count
% within Ternak
Total
31
100,0%
31
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
,581b
,258
,582
,571
c
1
1
1
As ymp. Sig.
(2-sided)
,446
,611
,446
Exact Sig.
(2-sided)
,612
Exact Sig.
(1-sided)
,306
,612
,612
,306
,306
1
,450
,612
,306
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 15,50.
c. The standardized statistic is ,756.
Point
Probability
,151
157
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Ternak
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
1,474
,542
4,010
1,214
,735
2,007
,824
,498
1,361
62
KK * Kasus
Crosstab
KK
Ada
Tidak Ada
Total
Kasus
Kontrol
Kasus
24
10
70,6%
29,4%
7
21
25,0%
75,0%
31
31
50,0%
50,0%
Count
% within KK
Count
% within KK
Count
% within KK
Total
34
100,0%
28
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
12,765 b
11,006
13,265
12,559
c
1
1
1
As ymp. Sig.
(2-sided)
,000
,001
,000
Exact Sig.
(2-sided)
,001
Exact Sig.
(1-sided)
,000
,001
,001
,000
,000
1
,000
,001
,000
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 14,00.
c. The standardized statistic is 3,544.
Point
Probability
,000
158
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for KK
(Ada / Tidak Ada)
For cohort Kasus
= Kontrol
For cohort Kasus
= Kasus
N of Valid Cases
7,200
2,327
22,279
2,824
1,434
5,558
,392
,223
,689
62
KD * Kasus
Crosstab
KD
Memenuhi Syarat
Tidak Memenuhi syarat
Total
Count
% within KD
Count
% within KD
Count
% within KD
Kasus
Kontrol
Kasus
21
24
46,7%
53,3%
10
7
58,8%
41,2%
31
31
50,0%
50,0%
Total
45
100,0%
17
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
,729b
,324
,732
,718
c
1
1
1
As ymp. Sig.
(2-sided)
,393
,569
,392
Exact Sig.
(2-sided)
,570
Exact Sig.
(1-sided)
,285
,570
,570
,285
,285
1
,397
,570
,285
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 8,50.
c. The standardized statistic is -,847.
Point
Probability
,158
159
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for KD
(Memenuhi Syarat /
Tidak Memenuhi syarat)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
,613
,198
1,895
,793
,478
1,315
1,295
,690
2,433
62
LR * Kasus
Crosstab
LR
Memenuhi Syarat
Tidak Memenuhi syarat
Total
Count
% within LR
Count
% within LR
Count
% within LR
Kasus
Kontrol
Kasus
20
14
58,8%
41,2%
11
17
60,7%
39,3%
31
31
50,0%
50,0%
Total
34
100,0%
28
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
2,345b
1,628
2,360
2,307
c
1
1
1
As ymp. Sig.
(2-sided)
,126
,202
,124
Exact Sig.
(2-sided)
,202
Exact Sig.
(1-sided)
,101
,202
,202
,101
,101
1
,129
,202
,101
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 14,00.
c. The standardized statistic is 1,519.
Point
Probability
,064
160
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for LR
(Memenuhi Syarat /
Tidak Memenuhi syarat)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
2,208
,796
6,126
1,497
,873
2,568
,678
,411
1,118
62
Pakaian * Kasus
Crosstab
Pakaian
Tidak Ada
Ada
Total
Count
% within Pakaian
Count
% within Pakaian
Count
% within Pakaian
Kasus
Kontrol
Kasus
19
20
48,7%
51,3%
12
11
52,2%
47,8%
31
31
50,0%
50,0%
Total
39
100,0%
23
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases
Value
,069b
,000
,069
,068
c
1
1
1
Asymp. Sig.
(2-sided)
,793
1,000
,793
Exact Sig.
(2-sided)
1,000
Exact Sig.
(1-sided)
,500
1,000
1,000
,500
,500
1
,794
1,000
,500
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count less than 5. The minimum expected count is 11,50.
c. The standardized statistic is -,261.
Point
Probability
,200
161
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Pakaian
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
,871
,310
2,442
,934
,563
1,550
1,072
,634
1,813
62
Kat_Pengetahuan * Kasus
Crosstab
Kat_Pengetahuan
Baik
Count
% within Kat_
Pengetahuan
Count
% within Kat_
Pengetahuan
Count
% within Kat_
Pengetahuan
Buruk
Total
Kasus
Kontrol
Kasus
7
3
Total
10
70,0%
30,0%
100,0%
24
28
52
46,2%
53,8%
100,0%
31
31
62
50,0%
50,0%
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
1,908b
1,073
1,954
1,877
c
1
1
1
As ymp. Sig.
(2-sided)
,167
,300
,162
Exact Sig.
(2-sided)
,301
Exact Sig.
(1-sided)
,150
,301
,301
,150
,150
1
,171
,301
,150
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 5,00.
c. The standardized statistic is 1,370.
Point
Probability
,110
162
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for
Kat_Pengetahuan
(Baik / Buruk)
For cohort Kasus
= Kontrol
For cohort Kasus
= Kasus
N of Valid Cases
2,722
,633
11,701
1,517
,919
2,503
,557
,209
1,484
62
Kat_Sikap * Kasus
Crosstab
Kasus
Kat_
Sikap
Baik
Buruk
Total
Kontrol
24
60,0%
7
31,8%
31
50,0%
Count
% within Kat_Sikap
Count
% within Kat_Sikap
Count
% within Kat_Sikap
Kasus
16
40,0%
15
68,2%
31
50,0%
Total
40
100,0%
22
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
4,509b
3,452
4,588
4,436
c
1
1
1
As ymp. Sig.
(2-sided)
,034
,063
,032
Exact Sig.
(2-sided)
,062
Exact Sig.
(1-sided)
,031
,062
,062
,031
,031
1
,035
,062
,031
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 11,00.
c. The standardized statistic is 2,106.
Point
Probability
,023
163
Risk Estimate
Value
Odds Ratio for Kat_
Sikap (Baik / Buruk)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
95% Confidence
Interval
Lower
Upper
3,214
1,072
9,634
1,886
,973
3,656
,587
,365
,943
62
Kat_Tindakan * Kasus
Crosstab
Kat_Tindakan
Baik
Buruk
Total
Count
% within Kat_Tindakan
Count
% within Kat_Tindakan
Count
% within Kat_Tindakan
Kasus
Kontrol
Kasus
8
7
53,3%
46,7%
23
24
48,9%
51,1%
31
31
50,0%
50,0%
Total
15
100,0%
47
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
,088b
,000
,088
,087
c
1
1
1
As ymp. Sig.
(2-sided)
,767
1,000
,767
Exact Sig.
(2-sided)
1,000
Exact Sig.
(1-sided)
,500
1,000
1,000
,500
,500
1
,769
1,000
,500
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 7,50.
c. The standardized statistic is ,294.
Point
Probability
,223
164
Risk Estimate
Value
Odds Ratio for Kat_
Tindakan (Baik / Buruk)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
95% Confidence
Interval
Lower
Upper
1,193
,372
3,821
1,090
,625
1,901
,914
,497
1,680
62
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Parit Sawah KK LR Kat_Pengetahuan Kat_Sikap
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
165
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Percentage
Correct
,0
100,0
50,0
Overall Percentage
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
Sig.
1,000
1
Ex p(B )
1,000
Variables not in the Equation
Step
0
Variables
GA
Parit
Sawah
KK
LR
Kat_Pengetahuan
Kat_Sikap
Overall Statistics
Score
9,300
3,215
5,248
12,765
2,345
1,908
4,509
24,954
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
30,849
30,849
30,849
df
7
7
7
Sig.
,000
,000
,000
df
1
1
1
1
1
1
1
7
Sig.
,002
,073
,022
,000
,126
,167
,034
,001
166
Model Summary
-2 Log
Cox & Snell
likelihood
R Square
55,101 a
,392
Step
1
Nagelkerke
R Square
,523
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Kasus
Kontrol
Kasus
25
6
7
24
Kontrol
Kasus
Overall Percentage
Percentage
Correct
80,6
77,4
79,0
a. The cut value is ,500
Va riables in the Equa tion
Step
a
1
GA
Parit
Sawah
KK
LR
Kat_Pengetahuan
Kat_Sikap
Constant
B
1,357
,526
,995
2,407
,836
,984
1,290
-4,059
S.E.
,744
,880
,942
,766
,718
,893
,758
1,255
W ald
3,328
,358
1,115
9,864
1,354
1,215
2,896
10,454
df
1
1
1
1
1
1
1
1
Sig.
,068
,550
,291
,002
,245
,270
,089
,001
Exp(B)
3,884
1,693
2,705
11,095
2,307
2,676
3,631
,017
95,0% C.I.for EXP(B)
Lower
Upper
,904
16,683
,302
9,499
,427
17,147
2,471
49,813
,564
9,426
,465
15,396
,822
16,038
a. Variable(s) entered on step 1: GA, Parit, Sawah, KK, LR, Kat_Pengetahuan, Kat_Sikap.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Sawah KK LR Kat_Pengetahuan Kat_Sikap
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Logistic Regression
167
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
Percent
100,0
,0
100,0
,0
100,0
62
0
62
0
62
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kontrol
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Overall Percentage
Percentage
Correct
,0
100,0
50,0
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
1
Sig.
1,000
Ex p(B )
1,000
168
Variables not in the Equation
Step
0
Variables
Score
9,300
5,248
12,765
2,345
1,908
4,509
24,877
GA
Sawah
KK
LR
Kat_Pengetahuan
Kat_Sikap
Overall Statistics
df
1
1
1
1
1
1
6
Sig.
,002
,022
,000
,126
,167
,034
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
30,493
30,493
30,493
df
6
6
6
Sig.
,000
,000
,000
Model Summary
Step
1
-2 Log
Cox & Snell
likelihood
R Square
a
55,457
,388
Nagelkerke
R Square
,518
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Overall Percentage
a. The cut value is ,500
Kontrol
Kasus
Kasus
Kontrol
Kasus
25
6
7
24
Percentage
Correct
80,6
77,4
79,0
169
Variables in the Equation
Step
a
1
B
1,334
1,309
2,382
,729
,938
1,283
-3,799
GA
Sawah
KK
LR
Kat_Pengetahuan
Kat_Sikap
Constant
S.E.
,746
,808
,761
,686
,897
,747
1,137
Wald
3,192
2,622
9,807
1,128
1,093
2,949
11,160
df
Sig.
,074
,105
,002
,288
,296
,086
,001
1
1
1
1
1
1
1
Exp(B)
3,795
3,702
10,823
2,073
2,555
3,608
,022
a. Variable(s) entered on step 1: GA, Sawah, KK, LR, Kat_Pengetahuan, Kat_Sikap.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Sawah KK LR Kat_Sikap
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
95,0% C.I.for EXP(B)
Lower
Upper
,879
16,387
,759
18,055
2,438
48,053
,540
7,954
,440
14,824
,834
15,603
170
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Percentage
Correct
,0
100,0
50,0
Overall Percentage
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
Sig.
1,000
1
Ex p(B )
1,000
Va riables not in the Equa tion
St ep
0
Variables
Sc ore
9,300
5,248
12,765
2,345
4,509
23,859
GA
Sawah
KK
LR
Kat_S ikap
Overall Statistics
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
29,340
29,340
29,340
df
5
5
5
Sig.
,000
,000
,000
df
1
1
1
1
1
5
Sig.
,002
,022
,000
,126
,034
,000
171
Model Summary
-2 Log
Cox & Snell
likelihood
R Square
56,610 a
,377
Step
1
Nagelkerke
R Square
,503
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Kasus
Kasus
Kontrol
27
4
7
24
Kontrol
Kasus
Overall Percentage
Percentage
Correct
87,1
77,4
82,3
a. The cut value is ,500
Variables in the Equation
Step
a
1
GA
Sawah
KK
LR
Kat_Sikap
Constant
B
1,356
1,442
2,337
,757
1,311
-3,111
S.E.
,732
,801
,752
,677
,736
,884
Wald
3,431
3,245
9,665
1,250
3,172
12,390
df
1
1
1
1
1
1
Sig.
,064
,072
,002
,264
,075
,000
Exp(B)
3,880
4,231
10,347
2,132
3,711
,045
95,0% C.I.for EXP(B)
Lower
Upper
16,292
,924
,881
20,320
2,372
45,147
,566
8,037
,877
15,708
a. Variable(s) entered on step 1: GA, Sawah, KK, LR, Kat_Sikap.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Sawah KK Kat_Sikap
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
172
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Overall Percentage
Percentage
Correct
,0
100,0
50,0
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
1
Sig.
1,000
Ex p(B )
1,000
173
Va riables not in the Equa tion
St ep
0
Variables
Sc ore
9,300
5,248
12,765
4,509
23,390
GA
Sawah
KK
Kat_S ikap
Overall Statistics
df
1
1
1
1
4
Sig.
,002
,022
,000
,034
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
28,060
28,060
28,060
df
4
4
4
Sig.
,000
,000
,000
Model Summary
Step
1
-2 Log
Cox & Snell
likelihood
R Square
57,891 a
,364
Nagelkerke
R Square
,485
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Overall Percentage
a. The cut value is ,500
Kontrol
Kasus
Kasus
Kontrol
Kasus
28
3
11
20
Percentage
Correct
90,3
64,5
77,4
174
Variables in the Equation
Step
a
1
GA
Sawah
KK
Kat_Sikap
Constant
B
1,369
1,340
2,309
1,233
-2,717
S.E.
,722
,768
,731
,727
,755
Wald
3,594
3,046
9,982
2,875
12,965
df
Sig.
,058
,081
,002
,090
,000
1
1
1
1
1
Exp(B)
3,930
3,819
10,069
3,430
,066
95,0% C.I.for EXP(B)
Lower
Upper
,955
16,176
,848
17,197
2,403
42,188
,825
14,260
a. Variable(s) entered on step 1: GA, Sawah, KK, Kat_Sikap.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Sawah KK
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
175
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Percentage
Correct
,0
100,0
50,0
Overall Percentage
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
Sig.
1,000
1
Ex p(B )
1,000
Variables not in the Equation
Step
0
Variables
Score
9,300
5,248
12,765
21,541
GA
Sawah
KK
Overall Statistics
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
25,031
25,031
25,031
df
3
3
3
Sig.
,000
,000
,000
df
1
1
1
3
Sig.
,002
,022
,000
,000
176
Model Summary
-2 Log
Cox & Snell
R Square
likelihood
60,920 a
,332
Step
1
Nagelkerke
R Square
,443
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Kasus
Kasus
Kontrol
21
10
3
28
Kontrol
Kasus
Overall Percentage
Percentage
Correct
67,7
90,3
79,0
a. The cut value is ,500
Variables in the Equation
Step
a
1
GA
Sawah
KK
Constant
B
1,468
1,077
2,368
-2,281
S.E.
,699
,721
,707
,669
Wald
4,408
2,233
11,214
11,623
df
1
1
1
1
Sig.
,036
,135
,001
,001
Exp(B)
4,341
2,936
10,675
,102
95,0% C.I.for EXP(B)
Lower
Upper
1,103
17,095
,715
12,058
2,670
42,683
a. Variable(s) entered on step 1: GA, Sawah, KK.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA KK
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
177
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Overall Percentage
Percentage
Correct
,0
100,0
50,0
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
1
Sig.
1,000
Ex p(B )
1,000
178
Variables not in the Equation
Step
0
Variables
Score
9,300
12,765
20,079
GA
KK
Overall Statistics
df
Sig.
,002
,000
,000
1
1
2
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
22,726
22,726
22,726
df
2
2
2
Sig.
,000
,000
,000
Model Summary
-2 Log
Cox & Snell
likelihood
R Square
63,224 a
,307
Step
1
Nagelkerke
R Square
,409
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Kasus
Kontrol
Kasus
24
7
10
21
Kontrol
Kasus
Overall Percentage
Percentage
Correct
77,4
67,7
72,6
a. The cut value is ,500
Variables in the Equation
Step
a
1
GA
KK
Constant
B
1,867
2,179
-1,935
S.E.
,654
,659
,598
a. Variable(s) entered on s tep 1: GA, KK.
Wald
8,155
10,920
10,458
df
1
1
1
Sig.
,004
,001
,001
Exp(B)
6,469
8,837
,144
95,0% C.I.for EXP(B)
Lower
Upper
1,796
23,302
2,427
32,181
KUESIONER PENELITIAN
PENGARUH FAKTOR LINGKUNGAN DAN PERILAKU TERHADAP
KEJADIAN MALARIA DI KECAMATAN SIABU
KABUPATEN MANDAILING NATAL
TAHUN 2015
No. Rumah
:
Desa
:
Tanggal Wawancara :
A. IDENTITAS RESPONDEN
a. Nama
:
b. Umur
:
c. Jenis Kelamin : 1. Laki-laki 2. Wanita
d. Pekerjaan
: 1. Petani
2. Nelayan
4. Pegawai Swasta
3. Pedagang
5. PNS/TNI/POLRI
e. Apakah Bapak / Ibu pernah mengalami penyakit malaria dengan gejala :
demam, panas, mengigil, berkeringat dalam waktu 6 bulan terakhir…?
Jawaban
: 1. Pernah
2. Tidak pernah
B. PENGETAHUAN
Petunjuk :
Jawablah pertanyaan dibawah ini menurut Anda paling benar dengan cara memberi
contreng / checklist
1. Menurut Anda apakah penyakit malaria itu?
a. Penyakit yang disebabkan oleh nyamuk (1)
b. Penyakit yang disebabkan oleh virus dengue (0)
c. Penyakit yang disebabkan oleh Protozoa yang disebut Plasmodium (2)
145
146
2. Menurut anda, bagaimana cara penularan penyakit malaria?
a. Melalui gigitan nyamuk (1)
b. Melalui gigitan nyamuk anopheles (2)
c. Melalui makanan (0)
3. Pada umumnya penyakit malaria ditularkan ke manusia melalui gigitan?
a. Nyamuk Anopheles (2)
b. Nyamuk Aedes Aegypti (1)
c. Nyamuk Culex (0)
4. Menurut anda bagaimana gejala penyakit malaria?
a. Demam panas, mengigigil (0)
b. Demam panas, mengigigil, berkeringat dan disertai sakit kepala, mual
dan muntah (2)
c. Demam panas, terdapat bintik-bintik merah di kulit (1)
5. Dimana nyamuk malaria bersarang?
a. Air mengalir seperti sungai (0)
b. Air yang tergenang dan memiliki dasar tanah seperti rawa-rawa dan
kolam ikan (2)
c. Air yang terdapat di dalam wadah seperti tong air, tempayan, bak
mandi yang terbuat dari semen dan kaleng bekas (1)
6. Menurut anda siapa saja yang dapat terkena penyakit malaria?
a. Semua golongan umur (2)
b. Hanya terjadi pada orang yang bekerja di tengah hutan (0)
c. Dapat terjadi pada bayi dan ibu hamil (1)
7. Dimanakah nyamuk malaria suka hinggap?
a. Di bak mandi (0)
b. Di kandang ternak, semak belukar dan dinding rumah (2)
c. Di baju yang bergantungan di dalam rumah (1)
147
8. Menurut anda, bagaimana cara mencegah gigitan nyamuk malaria?
a. Memasang kawat kasa pada ventilasi rumah dan menggunakan obar
nyamuk bakar / semprot pada malam hari (1)
b. Menutup tempayan dan mengubur barang-barang bekas (0)
c. Memasang kawat kasa pada ventilasi rumah, menggunakan kelambu
pada saat tidur di malam hari, menggunakan obat nyamuk bakar atau
semprot, apabila keluar pada malam hari selalu menggunakan obat
nyamuk oles dan pakaian tertutup serta menghindari keluar pada
malam hari (2)
9. Menurut anda, kapan nyamuk malaria menggigit manusia?
a. Senja hingga malam hari (2)
b. Pagi hari dan sore hari (0)
c. Ketika tidur di malam hari (1)
10. Menurut anda, jenis ikan apa saja yang memakan jentik nyamuk penyebab
malaria?
a. Kepala timah, nila, gabus, mujair (2)
b. Nila dan gabus (1)
c. Tidak tahu (0)
C. SIKAP
No Pernyataan
SS
1 Penyakit malaria adalah salah satu penyakit (4)
yang harus diberantas dan diwaspadai oleh
masyarakat
akan
melakukan
pencegahan (4)
2 Saya
penularan penyakit malaria dengan
menjaga kebersihan rumah dan lingkungan
sekitarnya.
3 Saya akan mengikuti penyuluhan dari petugas (4)
kesehatan
tentang
penyakit
malaria,
selanjutnya saya akan melaksanakan tindakan
pencegahan malaria.
S
(3)
TS
(2)
STS
(1)
(3)
(2)
(1)
(3)
(2)
(1)
148
4
5
6
7
8
9
10
11
12
Saya lebih menyukai pencegahan terhadap
gigitan nyamuk penyebab malaria daripada
mengobati setelah sakit
Saya akan menggunakan kelambu ketika
tidur di malam hari untuk mencegah
penyakit malaria
Saya akan melakukan pencegahan penyakit
malaria jika di lingkungan tempat tinggal
sudah ada penderita malaria
Jika saya merasakan gejala penyakit
malaria maka saya akan membiarkan saja.
Saya akan membiarkan genangan air yang
berada di sekitar rumah
Saya hanya perlu membersihkan dan
menjaga lingkungan rumah saya agar
terhindar dari penyakit malaria
Saya tidak memasang kawat kasa pada
ventilasi karena tidak ada hubungannya
dengan penyakit malaria
Saya akan keluar pada malam hari dengan
menggunakan pakaian tertutup dan panjang
untuk mencegaha penyakit malaria
Saya akan mengajak tetangga untuk samasama
menjaga
dan
membersihkan
lingkungan rumah masing-masing agar
terhindar dari penyakit malaria.
(4)
(3)
(2)
(1)
(4)
(3)
(2)
(1)
(1)
(2)
(3)
(4)
(1)
(2)
(3)
(4)
(1)
(2)
(3)
(4)
(4)
(3)
(2)
(1)
(1)
(2)
(3)
(4)
(4)
(3)
(2)
(1)
(4)
(3)
(2)
(1)
D. TINDAKAN
No
1
2
3
4
5
Pernyataan
Apakah anda menggunakan kawat kasa pada ventilasi
rumah?
Apakah anda menggunakan kelambu pada saat tidur
malam hari?
Apakah anda menggunakan obat anti nyamuk pada
saat tidur malam hari?
Apakah anda menggunakan baju lengan panjang ketika
keluar rumah pada malam hari?
Apakah anda menggunakan obat nyamuk oles pada
saat keluar malam hari?
Ya
(1)
Tidak
(0)
(1)
(0)
(1)
(0)
(1)
(0)
(1)
(0)
149
6
7
8
9
10
11
Apakah anda langsung menghubungi petugas
kesehatan apabila anda, keluarga atau tetangga anda
mengalami salah satu dari gejala penyakit malaria?
Apakah anda sering membersihkan lingkungan rumah
sekitar?
Apakah anda menghadiri kegiatan penyuluhan yang
dilakukan oleh petugas kesehatan yang diadakan di
lingkungan rumah anda?
Apakah anda membiarkan apabila terdapat tempat
yang dapat menimbulkan genangan air?
Apakah anda mengikuti kegiatan royong yang
dilakukan di lingkungan anda?
Apakah anda pernah membersihkan semak-semak /
kandang ternak di sekitar lingkungan rumah anda?
(1)
(0)
(1)
(0)
(1)
(0)
(0)
(1)
(1)
(0)
(1)
(0)
150
Lampiran Observasi
Lembar Observasi
PENGARUH FAKTOR LINGKUNGAN DAN PERILAKU TERHADAP
KEJADIAN MALARIA DI KECAMATAN SIABU
KABUPATEN MANDAILING NATAL
TAHUN 2015
No. Rumah
:
Desa
:
Tanggal Observasi
:
E. IDENTITAS RESPONDEN
a. Nama
:
b. Umur
:
c. Jenis Kelamin : 1. Laki-laki 2. Wanita
d. Pekerjaan
: 1. Petani
2. Nelayan
4. Pegawai Swasta
3. Pedagang
5. PNS/TNI/POLRI
F. FAKTOR LINGKUNGAN
1. Lingkungan luar rumah
Tidak ada
Ada
a. Genangan air
b. Parit atau selokan
c. Rawa-rawa
Ada
d. Semak-semak
e. Kandang ternak
Tidak ada
151
2. Lingkungan dalam rumah
a. Kawat kasa pada ventilasi
b. Kerapatan dinding rumah ≥ 1,5
mm
c. Langit-langit rumah
a) Sebagian rumah
b) Seluruh rumah
d. Pakaian yang bergantungan
Ada
Tidak ada
152
Lampiran Output
Crosstabs
GA * Kasus
Crosstab
GA
Tidak Ada
Ada
Total
Kasus
Kasus
Kontrol
21
9
70,0%
30,0%
10
22
31,3%
68,8%
31
31
50,0%
50,0%
Count
% within GA
Count
% within GA
Count
% within GA
Total
30
100,0%
32
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
9,300b
7,815
9,549
9,150
c
1
1
1
As ymp. Sig.
(2-sided)
,002
,005
,002
Exact Sig.
(2-sided)
,005
Exact Sig.
(1-sided)
,002
,005
,005
,002
,002
1
,002
,005
,002
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 15,00.
c. The standardized statistic is 3,025.
Point
Probability
,002
153
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for GA
(Tidak Ada / Ada)
For cohort Kasus
= Kontrol
For cohort Kasus
= Kasus
N of Valid Cases
5,133
1,742
15,131
2,240
1,273
3,940
,436
,241
,791
62
Parit * Kasus
Crosstab
Parit
Tidak Ada
Ada
Total
Count
% within Parit
Count
% within Parit
Count
% within Parit
Kasus
Kontrol
Kasus
17
10
63,0%
37,0%
14
21
40,0%
60,0%
31
31
50,0%
50,0%
Total
27
100,0%
35
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
3,215b
2,362
3,245
3,163
c
1
1
1
As ymp. Sig.
(2-sided)
,073
,124
,072
Exact Sig.
(2-sided)
,124
Exact Sig.
(1-sided)
,062
,124
,124
,062
,062
1
,075
,124
,062
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 13,50.
c. The standardized statistic is 1,778.
Point
Probability
,042
154
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Parit
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
2,550
,907
7,165
1,574
,956
2,591
,617
,352
1,082
62
Sawah * Kasus
Crosstab
Sawah
Tidak Ada
Ada
Total
Count
% within Sawah
Count
% within Sawah
Count
% within Sawah
Kasus
Kontrol
Kasus
21
12
63,6%
36,4%
10
19
34,5%
65,5%
31
31
50,0%
50,0%
Total
33
100,0%
29
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases
Value
5,248b
4,146
5,326
5,163
c
1
1
1
Asymp. Sig.
(2-sided)
,022
,042
,021
Exact Sig.
(2-sided)
,041
Exact Sig.
(1-sided)
,020
,041
,041
,020
,020
1
,023
,041
,020
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count less than 5. The minimum expected count is 14,50.
c. The standardized statistic is 2,272.
Point
Probability
,015
155
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Sawah
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
3,325
1,171
9,442
1,845
1,050
3,244
,555
,329
,936
62
Semak * Kasus
Crosstab
Semak
Tidak Ada
Ada
Total
Kasus
Kontrol
Kasus
20
15
57,1%
42,9%
11
16
40,7%
59,3%
31
31
50,0%
50,0%
Count
% within Semak
Count
% within Semak
Count
% within Semak
Total
35
100,0%
27
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
1,640b
1,050
1,648
1,614
c
1
1
1
As ymp. Sig.
(2-sided)
,200
,306
,199
Exact Sig.
(2-sided)
,306
Exact Sig.
(1-sided)
,153
,306
,306
,153
,153
1
,204
,306
,153
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 13,50.
c. The standardized statistic is 1,270.
Point
Probability
,091
156
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Semak
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
1,939
,700
5,371
1,403
,819
2,402
,723
,441
1,185
62
Ternak * Kasus
Crosstab
Ternak
Tidak Ada
Ada
Total
Kasus
Kontrol
Kasus
17
14
54,8%
45,2%
14
17
45,2%
54,8%
31
31
50,0%
50,0%
Count
% within Ternak
Count
% within Ternak
Count
% within Ternak
Total
31
100,0%
31
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
,581b
,258
,582
,571
c
1
1
1
As ymp. Sig.
(2-sided)
,446
,611
,446
Exact Sig.
(2-sided)
,612
Exact Sig.
(1-sided)
,306
,612
,612
,306
,306
1
,450
,612
,306
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 15,50.
c. The standardized statistic is ,756.
Point
Probability
,151
157
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Ternak
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
1,474
,542
4,010
1,214
,735
2,007
,824
,498
1,361
62
KK * Kasus
Crosstab
KK
Ada
Tidak Ada
Total
Kasus
Kontrol
Kasus
24
10
70,6%
29,4%
7
21
25,0%
75,0%
31
31
50,0%
50,0%
Count
% within KK
Count
% within KK
Count
% within KK
Total
34
100,0%
28
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
12,765 b
11,006
13,265
12,559
c
1
1
1
As ymp. Sig.
(2-sided)
,000
,001
,000
Exact Sig.
(2-sided)
,001
Exact Sig.
(1-sided)
,000
,001
,001
,000
,000
1
,000
,001
,000
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 14,00.
c. The standardized statistic is 3,544.
Point
Probability
,000
158
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for KK
(Ada / Tidak Ada)
For cohort Kasus
= Kontrol
For cohort Kasus
= Kasus
N of Valid Cases
7,200
2,327
22,279
2,824
1,434
5,558
,392
,223
,689
62
KD * Kasus
Crosstab
KD
Memenuhi Syarat
Tidak Memenuhi syarat
Total
Count
% within KD
Count
% within KD
Count
% within KD
Kasus
Kontrol
Kasus
21
24
46,7%
53,3%
10
7
58,8%
41,2%
31
31
50,0%
50,0%
Total
45
100,0%
17
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
,729b
,324
,732
,718
c
1
1
1
As ymp. Sig.
(2-sided)
,393
,569
,392
Exact Sig.
(2-sided)
,570
Exact Sig.
(1-sided)
,285
,570
,570
,285
,285
1
,397
,570
,285
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 8,50.
c. The standardized statistic is -,847.
Point
Probability
,158
159
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for KD
(Memenuhi Syarat /
Tidak Memenuhi syarat)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
,613
,198
1,895
,793
,478
1,315
1,295
,690
2,433
62
LR * Kasus
Crosstab
LR
Memenuhi Syarat
Tidak Memenuhi syarat
Total
Count
% within LR
Count
% within LR
Count
% within LR
Kasus
Kontrol
Kasus
20
14
58,8%
41,2%
11
17
60,7%
39,3%
31
31
50,0%
50,0%
Total
34
100,0%
28
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
2,345b
1,628
2,360
2,307
c
1
1
1
As ymp. Sig.
(2-sided)
,126
,202
,124
Exact Sig.
(2-sided)
,202
Exact Sig.
(1-sided)
,101
,202
,202
,101
,101
1
,129
,202
,101
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 14,00.
c. The standardized statistic is 1,519.
Point
Probability
,064
160
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for LR
(Memenuhi Syarat /
Tidak Memenuhi syarat)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
2,208
,796
6,126
1,497
,873
2,568
,678
,411
1,118
62
Pakaian * Kasus
Crosstab
Pakaian
Tidak Ada
Ada
Total
Count
% within Pakaian
Count
% within Pakaian
Count
% within Pakaian
Kasus
Kontrol
Kasus
19
20
48,7%
51,3%
12
11
52,2%
47,8%
31
31
50,0%
50,0%
Total
39
100,0%
23
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases
Value
,069b
,000
,069
,068
c
1
1
1
Asymp. Sig.
(2-sided)
,793
1,000
,793
Exact Sig.
(2-sided)
1,000
Exact Sig.
(1-sided)
,500
1,000
1,000
,500
,500
1
,794
1,000
,500
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count less than 5. The minimum expected count is 11,50.
c. The standardized statistic is -,261.
Point
Probability
,200
161
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for Pakaian
(Tidak Ada / Ada)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
,871
,310
2,442
,934
,563
1,550
1,072
,634
1,813
62
Kat_Pengetahuan * Kasus
Crosstab
Kat_Pengetahuan
Baik
Count
% within Kat_
Pengetahuan
Count
% within Kat_
Pengetahuan
Count
% within Kat_
Pengetahuan
Buruk
Total
Kasus
Kontrol
Kasus
7
3
Total
10
70,0%
30,0%
100,0%
24
28
52
46,2%
53,8%
100,0%
31
31
62
50,0%
50,0%
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
1,908b
1,073
1,954
1,877
c
1
1
1
As ymp. Sig.
(2-sided)
,167
,300
,162
Exact Sig.
(2-sided)
,301
Exact Sig.
(1-sided)
,150
,301
,301
,150
,150
1
,171
,301
,150
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 5,00.
c. The standardized statistic is 1,370.
Point
Probability
,110
162
Risk Estimate
95% Confidence
Interval
Lower
Upper
Value
Odds Ratio for
Kat_Pengetahuan
(Baik / Buruk)
For cohort Kasus
= Kontrol
For cohort Kasus
= Kasus
N of Valid Cases
2,722
,633
11,701
1,517
,919
2,503
,557
,209
1,484
62
Kat_Sikap * Kasus
Crosstab
Kasus
Kat_
Sikap
Baik
Buruk
Total
Kontrol
24
60,0%
7
31,8%
31
50,0%
Count
% within Kat_Sikap
Count
% within Kat_Sikap
Count
% within Kat_Sikap
Kasus
16
40,0%
15
68,2%
31
50,0%
Total
40
100,0%
22
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
4,509b
3,452
4,588
4,436
c
1
1
1
As ymp. Sig.
(2-sided)
,034
,063
,032
Exact Sig.
(2-sided)
,062
Exact Sig.
(1-sided)
,031
,062
,062
,031
,031
1
,035
,062
,031
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 11,00.
c. The standardized statistic is 2,106.
Point
Probability
,023
163
Risk Estimate
Value
Odds Ratio for Kat_
Sikap (Baik / Buruk)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
95% Confidence
Interval
Lower
Upper
3,214
1,072
9,634
1,886
,973
3,656
,587
,365
,943
62
Kat_Tindakan * Kasus
Crosstab
Kat_Tindakan
Baik
Buruk
Total
Count
% within Kat_Tindakan
Count
% within Kat_Tindakan
Count
% within Kat_Tindakan
Kasus
Kontrol
Kasus
8
7
53,3%
46,7%
23
24
48,9%
51,1%
31
31
50,0%
50,0%
Total
15
100,0%
47
100,0%
62
100,0%
Chi-Square Tests
Pearson Chi-Square
Continuity Correctiona
Likelihood Ratio
Fis her's Exact Test
Linear-by-Linear
As sociation
N of Valid Cases
Value
,088b
,000
,088
,087
c
1
1
1
As ymp. Sig.
(2-sided)
,767
1,000
,767
Exact Sig.
(2-sided)
1,000
Exact Sig.
(1-sided)
,500
1,000
1,000
,500
,500
1
,769
1,000
,500
df
62
a. Computed only for a 2x2 table
b. 0 cells (,0%) have expected count les s than 5. The minimum expected count is 7,50.
c. The standardized statistic is ,294.
Point
Probability
,223
164
Risk Estimate
Value
Odds Ratio for Kat_
Tindakan (Baik / Buruk)
For cohort Kasus =
Kontrol
For cohort Kasus =
Kasus
N of Valid Cases
95% Confidence
Interval
Lower
Upper
1,193
,372
3,821
1,090
,625
1,901
,914
,497
1,680
62
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Parit Sawah KK LR Kat_Pengetahuan Kat_Sikap
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
165
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Percentage
Correct
,0
100,0
50,0
Overall Percentage
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
Sig.
1,000
1
Ex p(B )
1,000
Variables not in the Equation
Step
0
Variables
GA
Parit
Sawah
KK
LR
Kat_Pengetahuan
Kat_Sikap
Overall Statistics
Score
9,300
3,215
5,248
12,765
2,345
1,908
4,509
24,954
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
30,849
30,849
30,849
df
7
7
7
Sig.
,000
,000
,000
df
1
1
1
1
1
1
1
7
Sig.
,002
,073
,022
,000
,126
,167
,034
,001
166
Model Summary
-2 Log
Cox & Snell
likelihood
R Square
55,101 a
,392
Step
1
Nagelkerke
R Square
,523
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Kasus
Kontrol
Kasus
25
6
7
24
Kontrol
Kasus
Overall Percentage
Percentage
Correct
80,6
77,4
79,0
a. The cut value is ,500
Va riables in the Equa tion
Step
a
1
GA
Parit
Sawah
KK
LR
Kat_Pengetahuan
Kat_Sikap
Constant
B
1,357
,526
,995
2,407
,836
,984
1,290
-4,059
S.E.
,744
,880
,942
,766
,718
,893
,758
1,255
W ald
3,328
,358
1,115
9,864
1,354
1,215
2,896
10,454
df
1
1
1
1
1
1
1
1
Sig.
,068
,550
,291
,002
,245
,270
,089
,001
Exp(B)
3,884
1,693
2,705
11,095
2,307
2,676
3,631
,017
95,0% C.I.for EXP(B)
Lower
Upper
,904
16,683
,302
9,499
,427
17,147
2,471
49,813
,564
9,426
,465
15,396
,822
16,038
a. Variable(s) entered on step 1: GA, Parit, Sawah, KK, LR, Kat_Pengetahuan, Kat_Sikap.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Sawah KK LR Kat_Pengetahuan Kat_Sikap
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Logistic Regression
167
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
Percent
100,0
,0
100,0
,0
100,0
62
0
62
0
62
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kontrol
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Overall Percentage
Percentage
Correct
,0
100,0
50,0
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
1
Sig.
1,000
Ex p(B )
1,000
168
Variables not in the Equation
Step
0
Variables
Score
9,300
5,248
12,765
2,345
1,908
4,509
24,877
GA
Sawah
KK
LR
Kat_Pengetahuan
Kat_Sikap
Overall Statistics
df
1
1
1
1
1
1
6
Sig.
,002
,022
,000
,126
,167
,034
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
30,493
30,493
30,493
df
6
6
6
Sig.
,000
,000
,000
Model Summary
Step
1
-2 Log
Cox & Snell
likelihood
R Square
a
55,457
,388
Nagelkerke
R Square
,518
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Overall Percentage
a. The cut value is ,500
Kontrol
Kasus
Kasus
Kontrol
Kasus
25
6
7
24
Percentage
Correct
80,6
77,4
79,0
169
Variables in the Equation
Step
a
1
B
1,334
1,309
2,382
,729
,938
1,283
-3,799
GA
Sawah
KK
LR
Kat_Pengetahuan
Kat_Sikap
Constant
S.E.
,746
,808
,761
,686
,897
,747
1,137
Wald
3,192
2,622
9,807
1,128
1,093
2,949
11,160
df
Sig.
,074
,105
,002
,288
,296
,086
,001
1
1
1
1
1
1
1
Exp(B)
3,795
3,702
10,823
2,073
2,555
3,608
,022
a. Variable(s) entered on step 1: GA, Sawah, KK, LR, Kat_Pengetahuan, Kat_Sikap.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Sawah KK LR Kat_Sikap
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
95,0% C.I.for EXP(B)
Lower
Upper
,879
16,387
,759
18,055
2,438
48,053
,540
7,954
,440
14,824
,834
15,603
170
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Percentage
Correct
,0
100,0
50,0
Overall Percentage
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
Sig.
1,000
1
Ex p(B )
1,000
Va riables not in the Equa tion
St ep
0
Variables
Sc ore
9,300
5,248
12,765
2,345
4,509
23,859
GA
Sawah
KK
LR
Kat_S ikap
Overall Statistics
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
29,340
29,340
29,340
df
5
5
5
Sig.
,000
,000
,000
df
1
1
1
1
1
5
Sig.
,002
,022
,000
,126
,034
,000
171
Model Summary
-2 Log
Cox & Snell
likelihood
R Square
56,610 a
,377
Step
1
Nagelkerke
R Square
,503
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Kasus
Kasus
Kontrol
27
4
7
24
Kontrol
Kasus
Overall Percentage
Percentage
Correct
87,1
77,4
82,3
a. The cut value is ,500
Variables in the Equation
Step
a
1
GA
Sawah
KK
LR
Kat_Sikap
Constant
B
1,356
1,442
2,337
,757
1,311
-3,111
S.E.
,732
,801
,752
,677
,736
,884
Wald
3,431
3,245
9,665
1,250
3,172
12,390
df
1
1
1
1
1
1
Sig.
,064
,072
,002
,264
,075
,000
Exp(B)
3,880
4,231
10,347
2,132
3,711
,045
95,0% C.I.for EXP(B)
Lower
Upper
16,292
,924
,881
20,320
2,372
45,147
,566
8,037
,877
15,708
a. Variable(s) entered on step 1: GA, Sawah, KK, LR, Kat_Sikap.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Sawah KK Kat_Sikap
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
172
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Overall Percentage
Percentage
Correct
,0
100,0
50,0
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
1
Sig.
1,000
Ex p(B )
1,000
173
Va riables not in the Equa tion
St ep
0
Variables
Sc ore
9,300
5,248
12,765
4,509
23,390
GA
Sawah
KK
Kat_S ikap
Overall Statistics
df
1
1
1
1
4
Sig.
,002
,022
,000
,034
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
28,060
28,060
28,060
df
4
4
4
Sig.
,000
,000
,000
Model Summary
Step
1
-2 Log
Cox & Snell
likelihood
R Square
57,891 a
,364
Nagelkerke
R Square
,485
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Overall Percentage
a. The cut value is ,500
Kontrol
Kasus
Kasus
Kontrol
Kasus
28
3
11
20
Percentage
Correct
90,3
64,5
77,4
174
Variables in the Equation
Step
a
1
GA
Sawah
KK
Kat_Sikap
Constant
B
1,369
1,340
2,309
1,233
-2,717
S.E.
,722
,768
,731
,727
,755
Wald
3,594
3,046
9,982
2,875
12,965
df
Sig.
,058
,081
,002
,090
,000
1
1
1
1
1
Exp(B)
3,930
3,819
10,069
3,430
,066
95,0% C.I.for EXP(B)
Lower
Upper
,955
16,176
,848
17,197
2,403
42,188
,825
14,260
a. Variable(s) entered on step 1: GA, Sawah, KK, Kat_Sikap.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA Sawah KK
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
175
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Percentage
Correct
,0
100,0
50,0
Overall Percentage
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
Sig.
1,000
1
Ex p(B )
1,000
Variables not in the Equation
Step
0
Variables
Score
9,300
5,248
12,765
21,541
GA
Sawah
KK
Overall Statistics
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
25,031
25,031
25,031
df
3
3
3
Sig.
,000
,000
,000
df
1
1
1
3
Sig.
,002
,022
,000
,000
176
Model Summary
-2 Log
Cox & Snell
R Square
likelihood
60,920 a
,332
Step
1
Nagelkerke
R Square
,443
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Kasus
Kasus
Kontrol
21
10
3
28
Kontrol
Kasus
Overall Percentage
Percentage
Correct
67,7
90,3
79,0
a. The cut value is ,500
Variables in the Equation
Step
a
1
GA
Sawah
KK
Constant
B
1,468
1,077
2,368
-2,281
S.E.
,699
,721
,707
,669
Wald
4,408
2,233
11,214
11,623
df
1
1
1
1
Sig.
,036
,135
,001
,001
Exp(B)
4,341
2,936
10,675
,102
95,0% C.I.for EXP(B)
Lower
Upper
1,103
17,095
,715
12,058
2,670
42,683
a. Variable(s) entered on step 1: GA, Sawah, KK.
LOGISTIC REGRESSION VARIABLES
Kasus
/METHOD = ENTER GA KK
/PRINT = CI(95)
/CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .
177
Logistic Regression
Case Processing Summary
Unweighted Cases
Selected Cases
a
N
Included in Analysis
Mis sing Cases
Total
Unselected Cas es
Total
62
0
62
0
62
Percent
100,0
,0
100,0
,0
100,0
a. If weight is in effect, s ee class ification table for the total
number of cases.
De pendent V aria ble Encodi ng
Original Value
Kontrol
Kasus
Int ernal Value
0
1
Block 0: Beginning Block
Classification Table a,b
Predicted
Step 0
Observed
Kasus
Kasus
Kontrol
Kasus
0
31
0
31
Kontrol
Kasus
Overall Percentage
Percentage
Correct
,0
100,0
50,0
a. Constant is included in the model.
b. The cut value is ,500
Va riables in the Equa tion
St ep 0
Constant
B
,000
S. E.
,254
W ald
,000
df
1
Sig.
1,000
Ex p(B )
1,000
178
Variables not in the Equation
Step
0
Variables
Score
9,300
12,765
20,079
GA
KK
Overall Statistics
df
Sig.
,002
,000
,000
1
1
2
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Step 1
Step
Block
Model
Chi-square
22,726
22,726
22,726
df
2
2
2
Sig.
,000
,000
,000
Model Summary
-2 Log
Cox & Snell
likelihood
R Square
63,224 a
,307
Step
1
Nagelkerke
R Square
,409
a. Es timation terminated at iteration number 5 because
parameter estimates changed by les s than ,001.
Classification Table a
Predicted
Step 1
Observed
Kasus
Kasus
Kontrol
Kasus
24
7
10
21
Kontrol
Kasus
Overall Percentage
Percentage
Correct
77,4
67,7
72,6
a. The cut value is ,500
Variables in the Equation
Step
a
1
GA
KK
Constant
B
1,867
2,179
-1,935
S.E.
,654
,659
,598
a. Variable(s) entered on s tep 1: GA, KK.
Wald
8,155
10,920
10,458
df
1
1
1
Sig.
,004
,001
,001
Exp(B)
6,469
8,837
,144
95,0% C.I.for EXP(B)
Lower
Upper
1,796
23,302
2,427
32,181