Analisis Faktor Risiko Terhadap Kejadian Stroke di RSUP H. Adam Malik Medan
Universitas Sumatera Utara
KEMENTERIAN KESEHATAN
RM.2.11/IC.SPenelitian/2016
DIREKTORAT JENDERAL BINA PELAYANAN KESEHATAN
RUMAH SAKIT UMUM PUSAT
H. ADAM MALIK
Jl. Bunga Lau No. 17 Medan Tuntungan Km.12 Kotak Pos 246
Telp. (061) 8364581-8360143-8360051 Fax. 8360255
MEDAN-20136
Nama :
Tgl.Lahir:
No. RM :
(Mohon ditempel Label)
PERSETUJUAN SETALAH PENJELASAN
(INFORMED CONSENT)
JUDUL PENELITIAN :
Analisis Faktor Risiko terhadap Kejadian Stroke di RSUP H. Adam Malik Medan
INSTANSI/SMF PELAKSANA :
Fakultas keperawatan Universitas Sumatera Utara
Bapak/Ibu yang terhormat ,
Saya Marta Telambanua mahasiswa S1 Ilmu Keperawatan Fakultas
Keperawatan Universitas Sumatera Utara yang akan melakukan penelitian
dengan tujuan untuk menganalisis faktor risiko kejadian stroke RSUP H. Adam
Malik Medan.
Saya sebagai peneliti untuk mencapai tujuan penelitian ini,
mengharapkan partisipasi bapak/ibu/saudara sebagai responden untuk
menjawab pertanyaan kuisioner yang akan penelti tanyakan. Hasil pengisian
kuisioner oleh responden, peneliti akan menjamin kerahasiaan dan tidak ada
orang lain yang membacanya selain peneliti sendiri. Semua data dan informasi
yang didapat dari bapak/ibu/saudara akan digunakan hanya untuk kepentingan
penelitian dalam mengembangkan ilmu keperawatan dan sebagai bukti
penelitian yang benar atau sah dalam penelitian.
Keikutsertaan sebagai responden dalm penelitian ini bersifat sukarela,
jika tidak berkenan menjadi responden, bapak/ibu/saudara berhak untuk tidak
ikut berperan serta tanpa sangsi apapun. Apabila bapak/ibu/saudara setuju
berpartisipasi maka saya mohon kesediaannya menandatangani lembar
persetujuan menjadi responden.
Demikian atas partisipasi dan kerjasamanya, saya ucapkan terimakasih.
Peneliti,
( Marta Telambanua
)
Universitas Sumatera Utara
KEMENTERIAN KESEHATAN
RM.2.11/IC.SPenelitian/2016
DIREKTORAT JENDERAL BINA PELAYANAN KESEHATAN
Nama :
Tgl.Lahir:
No. RM :
(Mohon ditempel Label)
RUMAH SAKIT UMUM PUSAT
H. ADAM MALIK
Jl. Bunga Lau No. 17 Medan Tuntungan Km.12 Kotak Pos 246
Telp. (061) 8364581-8360143-8360051 Fax. 8360255
MEDAN-20136
LEMBARAN PERSETUJUAN
Setelah membaca lembaran penjelasan di atas dan sudah dimengerti, kami
Nama
:
Alamat
:
Orang Tua/Wali dari
:
bersedia untuk turut serta sebagai subyek dalam penelitian atas nama : Marta
Telambanua
dengan judul penelitian : Analisis Faktor Risiko terhadap Kejadian Stroke di RSUP
H. Adam Malik Medan.
Menyatakan tidak keberatan maupun melakukan tuntutan di kemudian hari.
Demikian pernyataan ini saya perbuat dalam keadaan sehat, penuh kesadaran dan
tanpa paksaan dari pihak manapun.
Medan,
2016
……………………………………
………….
nama terang
Saksi :
Nama Terang
: ……………………………………..
Tanda Tangan : …………………………………….
Universitas Sumatera Utara
Lampiran 3
KUISIONER
1. Usia
No. Responden
:
Tgl. Pengumpulan Data
:
:
2. Jenis kelamin
Perempuan
Laki – laki
3. Riwayat Penyakit Keluarga
Hipertensi
Diabetes Melitus
Jantung
Stroke
4. Riwayat Hipertensi
Ya
Tidak
5. Riwayat Hiperkolesterolemia
Ya
Tidak
6. Riwayat Penyakit Jantung
Ya
Tidak
7. Riwayat Penyakit Diabetes Melitus
Ya
Tidak
Universitas Sumatera Utara
8. Riwayat Merokok
Ya
Tidak
9. Riwayat konsumsi Alkohol
Ya
Tidak
10. Riwayat aktivitas Fisik
Ya
Tidak
11. Kejadian stroke
Tidak
Stroke
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
MASTER DATA
Usia J.Kelamin
3
2
4
1
3
2
5
1
4
2
2
1
4
2
4
2
4
2
4
2
4
2
4
2
4
1
5
2
4
2
4
1
5
2
4
1
3
2
3
1
1
1
4
2
5
1
4
2
4
1
4
1
4
1
2
2
5
2
4
1
5
1
2
1
5
1
3
2
4
2
3
2
Rwt
Stroke
Kel.
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
Rwt
Hipertensi
1
0
1
0
1
0
1
1
1
0
0
1
1
1
1
0
1
1
0
1
0
1
1
1
1
1
1
0
1
1
1
1
1
0
1
0
Rwt
HPK
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Rwt
PJK
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
1
1
1
0
0
0
0
0
0
0
0
Rwt
DM
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
Rwt
Rwt
Rwt
Kej.
Merokok K.Akohol Akt.Fisik Stroke
0
0
0
1
0
0
0
1
1
0
0
1
0
0
0
1
0
1
0
1
1
0
0
1
0
0
0
1
0
0
0
1
1
1
0
1
1
0
0
1
1
1
0
1
0
0
0
1
0
0
0
1
1
0
0
1
0
0
0
1
0
0
0
1
1
0
0
1
0
0
0
1
1
1
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
Universitas Sumatera Utara
4
5
5
4
3
4
3
4
5
5
4
3
4
3
4
5
5
4
3
4
3
4
5
5
4
3
4
3
4
5
1
2
2
1
2
2
2
1
2
2
1
2
2
2
1
2
2
1
2
2
2
1
2
2
1
2
2
2
1
2
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
1
1
0
0
0
0
1
0
1
0
1
1
0
0
1
0
1
0
0
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
CROSSTABS
Universitas Sumatera Utara
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
/TABLES=kejadianstroke BY usia jeniskelamin riwayatkeluargastroke riwayathipertensi riwayathiperkolester
olemia riwayatpjk riwayatd
m riwayatmerokok riwayatkonsumsialkohol riwayataktivitasfisik
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL.
Crosstabs
Case Processing Summary
Cases
Valid
N
Missing
Percent
N
Total
Percent
N
Percent
kejadianstroke * usia
66
100.0%
0
.0%
66
100.0%
kejadianstroke * jeniskelamin
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
kejadianstroke * riwayatpjk
66
100.0%
0
.0%
66
100.0%
kejadianstroke * riwayatdm
66
100.0%
0
.0%
66
100.0%
kejadianstroke * riwayatmerokok
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
kejadianstroke *
riwayatkeluargastroke
kejadianstroke *
riwayathipertensi
kejadianstroke *
riwayathiperkolesterolemia
kejadianstroke *
riwayatkonsumsialkohol
kejadianstroke *
riwayataktivitasfisik
kejadianstroke * usia
Crosstab
Universitas Sumatera Utara
Count
Usia
Dewasa awal
Kejadianstroke
Dewasa akhir
Lansia awal
Lansia akhir
Manula
tidak ada
0
0
10
14
ada
1
3
4
18
1
3
14
32
Total
Chi-Square Tests
Asymp. Sig. (2Value
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear Association
df
sided)
7.321a
4
.120
8.954
4
.062
.490
1
.484
N of Valid Cases
66
a. 4 cells (40,0%) have expected count less than 5. The minimum expected
count is ,50.
kejadianstroke * jeniskelamin
Crosstab
Count
jeniskelamin
laki-laki
kejadianstroke
tidak ada
ada
Total
perempuan
Total
9
24
33
16
17
33
25
41
66
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
Universitas Sumatera Utara
3.155a
1
.076
Continuity Correction
2.318
1
.128
Likelihood Ratio
3.187
1
.074
Pearson Chi-Square
b
Fisher's Exact Test
.127
Linear-by-Linear Association
3.107
N of Valid Casesb
1
.064
.078
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 12,50.
b. Computed only for a 2x2 table
kejadianstroke * riwayatkeluargastroke
Crosstab
Count
riwayatkeluargastroke
tidak ada
kejadianstroke
ada
Total
tidak ada
29
4
33
ada
30
3
33
59
7
66
Total
Chi-Square Tests
Value
Df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
.160a
1
.689
Continuity Correctionb
.000
1
1.000
Likelihood Ratio
.160
1
.689
Pearson Chi-Square
Fisher's Exact Test
Linear-by-Linear Association
N of Valid Casesb
1.000
.157
1
.692
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
b. Computed only for a 2x2 table
Universitas Sumatera Utara
.500
kejadianstroke * riwayathipertensi
Crosstab
Count
riwayathipertensi
tidak ada
kejadianstroke
tidak ada
Total
22
11
33
9
24
33
31
35
66
ada
Total
ada
Chi-Square Tests
Value
Pearson Chi-Square
b
Continuity Correction
Likelihood Ratio
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
Df
10.280a
1
.001
8.759
1
.003
10.570
1
.001
Fisher's Exact Test
.003
Linear-by-Linear Association
b
N of Valid Cases
10.124
1
.001
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 15,50.
b. Computed only for a 2x2 table
kejadianstroke * riwayathiperkolesterolemia
Crosstab
Count
riwayathiperkolesterolemia
tidak ada
kejadianstroke
ada
Total
tidak ada
28
5
33
ada
31
2
33
Universitas Sumatera Utara
.001
Crosstab
Count
riwayathiperkolesterolemia
tidak ada
kejadianstroke
ada
Total
tidak ada
28
5
33
ada
31
2
33
59
7
66
Total
Chi-Square Tests
Value
Pearson Chi-Square
df
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.230
.639
1
.424
1.481
1
.224
1.438
b
Continuity Correction
Likelihood Ratio
Asymp. Sig. (2-
Fisher's Exact Test
.427
Linear-by-Linear Association
1.416
b
N of Valid Cases
1
.234
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
b. Computed only for a 2x2 table
kejadianstroke * riwayatpjk
Crosstab
Count
riwayatpjk
tidak ada
kejadianstroke
ada
Total
tidak ada
32
1
33
ada
26
7
33
Universitas Sumatera Utara
.213
Crosstab
Count
riwayatpjk
tidak ada
kejadianstroke
ada
Total
tidak ada
32
1
33
ada
26
7
33
58
8
66
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.024
Continuity Correction
3.556
1
.059
Likelihood Ratio
5.684
1
.017
Pearson Chi-Square
5.121
b
Fisher's Exact Test
.054
Linear-by-Linear Association
5.043
b
N of Valid Cases
1
.025
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 4,00.
b. Computed only for a 2x2 table
kejadianstroke * riwayatdm
Crosstab
Count
riwayatdm
tidak ada
kejadianstroke
Total
ada
Total
tidak ada
30
3
33
ada
31
2
33
61
5
66
Universitas Sumatera Utara
.027
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
.216a
1
.642
Continuity Correctionb
.000
1
1.000
Likelihood Ratio
.218
1
.641
Pearson Chi-Square
Fisher's Exact Test
1.000
Linear-by-Linear Association
.213
N of Valid Casesb
1
.500
.644
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 2,50.
b. Computed only for a 2x2 table
kejadianstroke * riwayatmerokok
Crosstab
Count
riwayatmerokok
tidak ada
kejadianstroke
ada
Total
tidak ada
30
3
33
ada
24
9
33
54
12
66
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.056
Continuity Correctionb
2.546
1
.111
Likelihood Ratio
3.808
1
.051
Pearson Chi-Square
3.667
Universitas Sumatera Utara
Fisher's Exact Test
.108
Linear-by-Linear Association
3.611
b
N of Valid Cases
1
.054
.057
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,00.
b. Computed only for a 2x2 table
kejadianstroke * riwayatkonsumsialkohol
Crosstab
Count
riwayatkonsumsialkohol
tidak ada
kejadianstroke
ada
Total
tidak ada
32
1
33
ada
28
5
33
60
6
66
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.087
Continuity Correction
1.650
1
.199
Likelihood Ratio
3.178
1
.075
Pearson Chi-Square
2.933
b
Fisher's Exact Test
Linear-by-Linear Association
b
N of Valid Cases
.197
2.889
1
.089
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,00.
b. Computed only for a 2x2 table
Universitas Sumatera Utara
.098
kejadianstroke * riwayataktivitasfisik
Crosstab
Count
riwayataktivitasfisik
tidak ada
kejadianstroke
Total
tidak ada
33
33
ada
33
33
66
66
Total
Chi-Square Tests
Value
Pearson Chi-Square
N of Valid Cases
.
a
66
a. No statistics are computed because
riwayataktivitasfisik is a constant.
Hasil Uji Bivariat
kejadianstroke * usia Crosstabulation
usia
Tidak berisiko
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
Berisiko
Total
10
23
33
30.3%
69.7%
100.0%
8
25
33
24.2%
75.8%
100.0%
18
48
66
27.3%
72.7%
100.0%
Chi-Square Tests
Universitas Sumatera Utara
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
.306a
1
.580
Continuity Correction
.076
1
.782
Likelihood Ratio
.306
1
.580
Pearson Chi-Square
b
Fisher's Exact Test
.783
Linear-by-Linear Association
.301
N of Valid Casesb
1
.391
.583
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 9,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for kejadianstroke (tidak
ada / ada)
For cohort usia = Tidak berisiko
For cohort usia = Berisiko
N of Valid Cases
Lower
Upper
1.359
.457
4.035
1.250
.565
2.767
.920
.684
1.237
66
kejadianstroke * jeniskelamin Crosstabulation
jeniskelamin
laki-laki
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
perempuan
Total
9
24
33
27.3%
72.7%
100.0%
16
17
33
48.5%
51.5%
100.0%
25
41
66
37.9%
62.1%
100.0%
Chi-Square Tests
Universitas Sumatera Utara
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
3.155a
1
.076
Continuity Correction
2.318
1
.128
Likelihood Ratio
3.187
1
.074
Pearson Chi-Square
b
Fisher's Exact Test
.127
Linear-by-Linear Association
3.107
b
N of Valid Cases
1
.064
.078
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 12,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for kejadianstroke (tidak
ada / ada)
For cohort jeniskelamin = laki-laki
For cohort jeniskelamin = perempuan
N of Valid Cases
.398
.143
1.112
.562
.291
1.087
1.412
.954
2.088
66
kejadianstroke * riwayatkeluargastroke Crosstabulation
riwayatkeluargastroke
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
ada
Total
29
4
33
87.9%
12.1%
100.0%
30
3
33
90.9%
9.1%
100.0%
59
7
66
89.4%
10.6%
100.0%
Chi-Square Tests
Universitas Sumatera Utara
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
.160a
1
.689
Continuity Correction
.000
1
1.000
Likelihood Ratio
.160
1
.689
Pearson Chi-Square
b
Fisher's Exact Test
1.000
Linear-by-Linear Association
.157
b
N of Valid Cases
1
.500
.692
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for kejadianstroke (tidak ada
/ ada)
.725
.149
3.525
.967
.818
1.142
1.333
.323
5.500
For cohort riwayatkeluargastroke = tidak
ada
For cohort riwayatkeluargastroke = ada
N of Valid Cases
66
kejadianstroke * riwayathipertensi Crosstabulation
riwayathipertensi
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
ada
Total
22
11
33
66.7%
33.3%
100.0%
9
24
33
27.3%
72.7%
100.0%
31
35
66
47.0%
53.0%
100.0%
Universitas Sumatera Utara
Chi-Square Tests
Value
Pearson Chi-Square
b
Likelihood Ratio
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
a
1
.001
8.759
1
.003
10.570
1
.001
10.280
Continuity Correction
Asymp. Sig. (2-
Fisher's Exact Test
.003
Linear-by-Linear Association
b
N of Valid Cases
10.124
1
.001
.001
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 15,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for kejadianstroke (tidak ada
/ ada)
For cohort riwayathipertensi = tidak ada
For cohort riwayathipertensi = ada
N of Valid Cases
5.333
1.859
15.301
2.444
1.332
4.486
.458
.271
.775
66
kejadianstroke * riwayathiperkolesterolemia Crosstabulation
riwayathiperkolesterolemia
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
ada
Total
28
5
33
84.8%
15.2%
100.0%
31
2
33
93.9%
6.1%
100.0%
59
7
66
Universitas Sumatera Utara
kejadianstroke * riwayathiperkolesterolemia Crosstabulation
riwayathiperkolesterolemia
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Total
5
33
84.8%
15.2%
100.0%
31
2
33
93.9%
6.1%
100.0%
59
7
66
89.4%
10.6%
100.0%
Count
% within kejadianstroke
Total
28
Count
% within kejadianstroke
ada
Chi-Square Tests
Value
Pearson Chi-Square
df
Likelihood Ratio
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.230
.639
1
.424
1.481
1
.224
1.438
Continuity Correctionb
Asymp. Sig. (2-
Fisher's Exact Test
.427
Linear-by-Linear Association
1.416
b
N of Valid Cases
1
.234
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for
kejadianstroke (tidak ada /
.361
.065
2.013
.903
.763
1.069
ada)
For cohort
riwayathiperkolesterolemia =
tidak ada
Universitas Sumatera Utara
.213
For cohort
riwayathiperkolesterolemia =
2.500
.522
11.983
ada
N of Valid Cases
66
kejadianstroke * riwayatpjk Crosstabulation
riwayatpjk
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Total
1
33
97.0%
3.0%
100.0%
26
7
33
78.8%
21.2%
100.0%
58
8
66
87.9%
12.1%
100.0%
Count
% within kejadianstroke
Total
32
Count
% within kejadianstroke
ada
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.024
Continuity Correction
3.556
1
.059
Likelihood Ratio
5.684
1
.017
Pearson Chi-Square
5.121
b
Fisher's Exact Test
.054
Linear-by-Linear Association
b
N of Valid Cases
5.043
1
.025
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 4,00.
b. Computed only for a 2x2 table
Risk Estimate
Universitas Sumatera Utara
.027
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for
kejadianstroke (tidak ada /
8.615
.995
74.574
1.231
1.021
1.484
.143
.019
1.098
ada)
For cohort riwayatpjk = tidak
ada
For cohort riwayatpjk = ada
N of Valid Cases
66
kejadianstroke * riwayatdm Crosstabulation
riwayatdm
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
Ada
Total
3
33
90.9%
9.1%
100.0%
31
2
33
93.9%
6.1%
100.0%
61
5
66
92.4%
7.6%
100.0%
Count
% within kejadianstroke
Total
30
Count
% within kejadianstroke
ada
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
Universitas Sumatera Utara
.216a
1
.642
Continuity Correction
.000
1
1.000
Likelihood Ratio
.218
1
.641
Pearson Chi-Square
b
Fisher's Exact Test
1.000
Linear-by-Linear Association
.213
N of Valid Casesb
1
.500
.644
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 2,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for kejadianstroke (tidak
ada / ada)
For cohort riwayatdm = tidak ada
For cohort riwayatdm = ada
N of Valid Cases
.645
.101
4.137
.968
.843
1.111
1.500
.268
8.401
66
kejadianstroke * riwayatmerokok Crosstabulation
riwayatmerokok
tidak ada
kejadianstroke
tidak ada
Count
30
ada
Total
3
33
Universitas Sumatera Utara
% within kejadianstroke
Ada
90.9%
9.1%
100.0%
24
9
33
72.7%
27.3%
100.0%
54
12
66
81.8%
18.2%
100.0%
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
Chi-Square Tests
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
a
1
.056
Continuity Correction
2.546
1
.111
Likelihood Ratio
3.808
1
.051
Pearson Chi-Square
3.667
b
Fisher's Exact Test
.108
Linear-by-Linear Association
3.611
b
N of Valid Cases
1
.054
.057
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for kejadianstroke (tidak ada /
ada)
For cohort riwayatmerokok = tidak ada
Lower
Upper
3.750
.913
15.400
1.250
.988
1.581
.333
.099
1.123
For cohort riwayatmerokok = ada
N of Valid Cases
66
kejadianstroke * riwayatkonsumsialkohol Crosstabulation
riwayatkonsumsialkohol
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Total
32
1
33
97.0%
3.0%
100.0%
Universitas Sumatera Utara
ada
Count
% within kejadianstroke
Total
28
5
33
84.8%
15.2%
100.0%
60
6
66
90.9%
9.1%
100.0%
Count
% within kejadianstroke
Chi-Square Tests
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
2.933a
1
.087
Continuity Correction
1.650
1
.199
Likelihood Ratio
3.178
1
.075
Pearson Chi-Square
b
Fisher's Exact Test
.197
Linear-by-Linear Association
2.889
b
N of Valid Cases
1
.098
.089
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for kejadianstroke (tidak ada / ada)
For cohort riwayatkonsumsialkohol = tidak ada
For cohort riwayatkonsumsialkohol = ada
N of Valid Cases
Lower
Upper
5.714
.629
51.888
1.143
.978
1.336
.200
.025
1.620
66
kejadianstroke * riwayataktivitasfisik Crosstabulation
riwayataktivitasfisik
tidak ada
kejadianstroke
tidak ada
Count
Total
33
Universitas Sumatera Utara
33
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
100.0%
100.0%
33
33
100.0%
100.0%
66
66
100.0%
100.0%
Chi-Square Tests
Value
.a
Pearson Chi-Square
N of Valid Cases
66
a. No statistics are computed because
riwayataktivitasfisik is a constant.
Risk Estimate
Value
Odds Ratio for kejadianstroke
(tidak ada / ada)
.a
a. No statistics are computed because
riwayataktivitasfisik is a constant.
FREQUENCIES VARIABLES=usia jeniskelamin riwayatkeluargastroke riwayathipertensi riwayathiperkolesterol
emia riwayatpjk riwayatdm riwa
yatmerokok riwayatkonsumsialkohol riwayataktivitasfisik kejadianstroke
/STATISTICS=STDDEV MINIMUM MAXIMUM MEAN
/ORDER=ANALYSIS.
Frequencies
Universitas Sumatera Utara
Statistics
Riwayat
Riwayat
Jenis Riwayat Riwayat hiperkol
konsum
kela keluarg hiperten esterole Riwayat Riwayat Riwayat
usia min a stroke
N
Valid
Deviation
pjk
dm
Kejadian
merokok alkohol aktivitas fisik
stroke
66
66
66
66
66
66
66
66
66
66
0
0
0
0
0
0
0
0
0
0
0
3.89 1.62
.11
.53
.11
.12
.08
.18
.09
.00
.50
.879 .489
.310
.503
.310
.329
.267
.389
.290
.000
.504
ng
Std.
mia
Riwayat
66
Missi
Mean
si
si
Minimum
1
1
0
0
0
0
0
0
0
0
0
Maximum
5
2
1
1
1
1
1
1
1
0
1
Frequency Table
Usia
Cumulative
Frequency
Valid
Percent
Valid Percent
Percent
Dewasa awal
1
1.5
1.5
1.5
Dewasa akhir
3
4.5
4.5
6.1
Lansia awal
14
21.2
21.2
27.3
Lansia akhir
32
48.5
48.5
75.8
Manula
16
24.2
24.2
100.0
Total
66
100.0
100.0
Jeniskelamin
Cumulative
Frequency
Valid
laki-laki
25
Percent
37.9
Valid Percent
37.9
Percent
37.9
Universitas Sumatera Utara
perempuan
41
62.1
62.1
Total
66
100.0
100.0
100.0
Riwayatkeluargastroke
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
59
89.4
89.4
89.4
ada
7
10.6
10.6
100.0
Total
66
100.0
100.0
Riwayathipertensi
Cumulative
Frequency
Valid
Percent
Valid Percent
Percent
tidak ada
31
47.0
47.0
47.0
ada
35
53.0
53.0
100.0
Total
66
100.0
100.0
Riwayathiperkolesterolemia
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
59
89.4
89.4
89.4
ada
7
10.6
10.6
100.0
Total
66
100.0
100.0
Riwayatpjk
Universitas Sumatera Utara
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
58
87.9
87.9
87.9
ada
8
12.1
12.1
100.0
Total
66
100.0
100.0
Riwayatdm
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
61
92.4
92.4
92.4
ada
5
7.6
7.6
100.0
Total
66
100.0
100.0
Riwayatmerokok
Cumulative
Frequency
Valid
Percent
Valid Percent
Percent
tidak ada
54
81.8
81.8
81.8
ada
12
18.2
18.2
100.0
Total
66
100.0
100.0
Riwayatkonsumsialkohol
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
60
90.9
90.9
90.9
ada
6
9.1
9.1
100.0
Total
66
100.0
100.0
Universitas Sumatera Utara
Riwayataktivitasfisik
Cumulative
Frequency
Valid
tidak ada
Percent
66
Valid Percent
100.0
Percent
100.0
100.0
Kejadianstroke
Cumulative
Frequency
Valid
Percent
Valid Percent
Percent
tidak ada
33
50.0
50.0
50.0
ada
33
50.0
50.0
100.0
Total
66
100.0
100.0
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER usia
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
Usia
Overall Statistics
df
Sig.
.497
1
.481
.497
1
.481
Block 1: Method = Enter
Universitas Sumatera Utara
1.000
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
.500
1
.480
Block
.500
1
.480
Model
.500
1
.480
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
90.996a
1
.008
.010
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
Kejadianstroke
tidak ada
Percentage
ada
Correct
tidak ada
23
10
69.7
ada
25
8
24.2
Overall Percentage
47.0
a. The cut value is ,500
Variables in the Equation
95,0%
B
Step 1a
Usia
Constant
S.E.
Wald
df
Sig.
Exp(B)
-.201
.286
.493
1
.483
.818
.782
1.142
.469
1
.493
2.187
Universitas Sumatera Utara
Lower
.4
Variables in the Equation
95,0%
B
Step 1a
Usia
S.E.
-.201
Wald
.286
df
.493
Sig.
1
Exp(B)
.483
a. Variable(s) entered on step 1: usia.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER jeniskelamin
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
Universitas Sumatera Utara
.818
Lower
.4
Classification Tablea,b
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
jeniskelamin
Overall Statistics
df
Sig.
3.155
1
.076
3.155
1
.076
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
3.187
1
.074
Block
3.187
1
.074
Model
3.187
1
.074
Universitas Sumatera Utara
1.000
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
a
1
88.308
.047
.063
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
24
9
72.7
ada
17
16
48.5
Overall Percentage
60.6
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
Wal
B
Step
a
1
jeniskel
amin
Consta
nt
S.E.
-.920
.524
1.496
.892
d
df
3.08
9
2.81
4
Sig.
Exp(B)
1
.079
.398
1
.093
4.462
Lower
.143
Upper
1.112
a. Variable(s) entered on step 1:
jeniskelamin.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatkeluargastroke
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Universitas Sumatera Utara
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
Kejadianstroke
Observed
Step 0
Kejadianstroke
tidak ada
Percentage
Ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
Df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
riwayatkeluargastroke
Overall Statistics
Df
Sig.
.160
1
.689
.160
1
.689
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
.160
1
.689
Block
.160
1
.689
Model
.160
1
.689
Model Summary
Step
-2 Log likelihood
Cox & Snell R
Nagelkerke R
Square
Square
91.335a
1
.002
.003
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
a
Classification Table
Observed
Predicted
Universitas Sumatera Utara
1.000
Kejadianstroke
tidak ada
Step 1
kejadianstroke
Percentage
Ada
Correct
tidak ada
4
29
12.1
ada
3
30
90.9
Overall Percentage
51.5
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
a
Step 1
riwayatkeluargastroke
Constant
S.E.
Wald
Df
Sig.
Exp(B)
-.322
.807
.159
1
.690
.725
.034
.260
.017
1
.896
1.034
Lower
.149
a. Variable(s) entered on step 1: riwayatkeluargastroke.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayathipertensi
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
Upper
3.525
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
Ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
Sig.
.000
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
Riwayathipertensi
Overall Statistics
df
Sig.
10.280
1
.001
10.280
1
.001
Block 1: Method = Enter
Universitas Sumatera Utara
1.000
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
10.570
1
.001
Block
10.570
1
.001
Model
10.570
1
.001
Model Summary
Step
-2 Log likelihood
Cox & Snell R
Nagelkerke R
Square
Square
80.925a
1
.148
.197
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
Kejadianstroke
tidak ada
tidak ada
Percentage
ada
Correct
22
11
66.7
9
24
72.7
Ada
Overall Percentage
69.7
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
S.E.
Wald df
Sig.
Exp(B)
Riwayathipertensi
1.674
.538 9.691 1
.002
5.333
Constant
-.894
.396 5.103 1
.024
.409
Lower
1.859
Universitas Sumatera Utara
Upper
15.301
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
Riwayathipertensi
1.674
S.E.
Wald df
Sig.
.538 9.691 1
Exp(B)
.002
5.333
Lower
1.859
a. Variable(s) entered on step 1: riwayathipertensi.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayathiperkolesterolemia
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
tidak ada
Internal Value
0
Universitas Sumatera Utara
Upper
15.301
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
Ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
1.000
Variables not in the Equation
Score
Step 0
Variables
riwayathiperkolesterolemia
Overall Statistics
df
Sig.
1.438
1
.230
1.438
1
.230
Block 1: Method = Enter
Universitas Sumatera Utara
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
1.481
1
.224
Block
1.481
1
.224
Model
1.481
1
.224
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
90.015a
1
.022
.030
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
tidak ada
Percentage
ada
Correct
tidak ada
5
28
15.2
Ada
2
31
93.9
Overall Percentage
54.5
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
Riwayathiperkolesterol
emia
Constant
S.E.
Wald
df
Sig.
Exp(B)
-1.018
.876
1.350
1
.245
.361
.102
.261
.152
1
.696
1.107
Lower
.065
Universitas Sumatera Utara
Upper
2.013
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
Riwayathiperkolesterol
emia
-1.018
S.E.
.876
Wald
df
1.350
Sig.
1
Exp(B)
.245
.361
Lower
.065
a. Variable(s) entered on step 1: riwayathiperkolesterolemia.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatpjk
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
Universitas Sumatera Utara
Upper
2.013
Classification Tablea,b
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
Ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
Riwayatpjk
Overall Statistics
df
Sig.
5.121
1
.024
5.121
1
.024
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
5.684
1
.017
Block
5.684
1
.017
Model
5.684
1
.017
Universitas Sumatera Utara
1.000
Model Summary
Step
-2 Log likelihood
Cox & Snell R
Nagelkerke R
Square
Square
85.812a
1
.083
.110
a. Estimation terminated at iteration number 5 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
32
1
97.0
Ada
26
7
21.2
Overall Percentage
59.1
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
a
Step 1
riwayatp
jk
Constan
t
S.E.
Wald
df
Sig.
Exp(B)
2.154 1.101 3.825
1
.051
8.615
-.208
1
.432
.813
.264 .618
Lower
.995
Upper
74.574
a. Variable(s) entered on step 1: riwayatpjk.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatdm
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Universitas Sumatera Utara
Logistic Regression
Case Processing Summary
Unweighted Casesa
Selected Cases
N
Included in Analysis
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
Missing Cases
Total
Unselected Cases
Total
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
.000
df
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Universitas Sumatera Utara
1.000
Score
Step 0
Variables
riwayatdm
Overall Statistics
df
Sig.
.216
1
.642
.216
1
.642
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
.218
1
.641
Block
.218
1
.641
Model
.218
1
.641
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
91.278a
1
.003
.004
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
Overall Percentage
tidak ada
Percentage
ada
Correct
tidak ada
3
30
9.1
ada
2
31
93.9
51.5
a. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
95,0% C.I.for EXP(B)
B
a
Step 1
riwayatd
m
Constan
t
S.E.
Wald
Df
Sig.
Exp(B)
-.438
.948
.214
1
.644
.645
.033
.256
.016
1
.898
1.033
Lower
Upper
.101
a. Variable(s) entered on step 1: riwayatdm.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatmerokok
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Universitas Sumatera Utara
4.137
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
riwayatmerokok
Overall Statistics
df
Sig.
3.667
1
.056
3.667
1
.056
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
3.808
1
.051
Block
3.808
1
.051
Model
3.808
1
.051
Universitas Sumatera Utara
1.000
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
a
1
87.688
.056
.075
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
30
3
90.9
ada
24
9
27.3
Overall Percentage
59.1
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
riwayatmeroko
k
Constant
S.E.
Wald
df
Sig.
Exp(B)
1.322
.721
3.363
1
.067
3.750
-.223
.274
.664
1
.415
.800
Lower
.913
a. Variable(s) entered on step 1: riwayatmerokok.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatkonsumsialkohol
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
Universitas Sumatera Utara
Upper
15.400
Unweighted Casesa
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
kejadianstroke
Observed
Step 0
kejadianstroke
tidak ada
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
.000
df
Sig.
1
Exp(B)
1.000
Universitas Sumatera Utara
1.000
Variables not in the Equation
Score
Step 0
Variables
riwayatkonsumsialkohol
Overall Statistics
df
Sig.
2.933
1
.087
2.933
1
.087
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
3.178
1
.075
Block
3.178
1
.075
Model
3.178
1
.075
Model Summary
Step
-2 Log likelihood
Cox & Snell R
Nagelkerke R
Square
Square
a
1
88.318
.047
.063
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
Overall Percentage
tidak ada
Percentage
ada
Correct
tidak ada
32
1
97.0
Ada
28
5
15.2
56.1
a. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
S.E.
riwayatkonsumsialkohol
1.743 1.126
Constant
-.134
Wald
.259
df
Sig.
Exp(B)
2.398
1
.122
5.714
.266
1
.606
.875
Lower
.629
a. Variable(s) entered on step 1: riwayatkonsumsialkohol.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayataktivitasfisik
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Universitas Sumatera Utara
Upper
51.888
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
Sig.
.000
1
Exp(B)
1.000
1.000
Block 1: Method = Enter
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
a
1
91.495
.000
.000
a. Estimation terminated at iteration number 1 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
Kejadianstroke
Overall Percentage
tidak ada
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
50.0
Universitas Sumatera Utara
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. The cut value is ,500
Variables in the Equation
B
Step 1
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER jeniskelamin riwayathipertensi riwayathiperkolesterolemia riwayatpjk riwayatmerokok ri
wayatkonsumsialkohol
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
ase Processing Summary
Unweighted Casesa
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
1.000
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
1.000
Variables not in the Equation
Score
Step 0
Variables
Jeniskelamin
df
Sig.
3.155
1
.076
10.280
1
.001
riwayathiperkolesterolemia
1.438
1
.230
riwayatpjk
5.121
1
.024
riwayatmerokok
3.667
1
.056
riwayatkonsumsialkohol
2.933
1
.087
Riwayathipertensi
Universitas Sumatera Utara
Variables not in the Equation
Score
Step 0
Variables
Jeniskelamin
df
Sig.
3.155
1
.076
10.280
1
.001
riwayathiperkolesterolemia
1.438
1
.230
riwayatpjk
5.121
1
.024
riwayatmerokok
3.667
1
.056
riwayatkonsumsialkohol
2.933
1
.087
21.060
6
.002
Riwayathipertensi
Overall Statistics
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
24.484
6
.000
Block
24.484
6
.000
Model
24.484
6
.000
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
a
1
67.011
.310
.413
a. Estimation terminated at iteration number 5 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
Overall Percentage
tidak ada
Percentage
ada
Correct
tidak ada
27
6
81.8
ada
12
21
63.6
72.7
a. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
S.E.
Wald
df
Sig.
Exp(B)
Lower
jeniskelamin
-.976
.622
2.460
1
.117
.377
.111
1.276
riwayathipertensi
1.631
.617
6.988
1
.008
5.106
1.524
17.105
-1.207
1.227
.968
1
.325
.299
.027
3.312
riwayatpjk
2.258
1.181
3.654
1
.056
9.566
.944
96.905
riwayatmerokok
1.081
.992
1.187
1
.276
2.947
.422
20.596
riwayatkonsumsialkohol
1.837
1.615
1.295
1
.255
6.281
.265
148.808
.237
1.086
.048
1
.827
1.268
riwayathiperkolesterolem
ia
Constant
a. Variable(s) entered on step 1: jeniskelamin, riwayathipertensi, riwayathiperkolesterolemia, riwayatpjk,
riwayatmerokok, riwayatkonsumsialkohol.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER jeniskelamin riwayathipertensi riwayatpjk riwayatmerokok riwayatkonsumsialkohol
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Upper
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
Sig.
.000
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
Jeniskelamin
df
Sig.
3.155
1
.076
10.280
1
.001
riwayatpjk
5.121
1
.024
riwayatmerokok
3.667
1
.056
riwayatkonsumsialkohol
2.933
1
.087
20.523
5
.001
riwayathipertensi
Overall Statistics
Universitas Sumatera Utara
1.000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
23.437
5
.000
Block
23.437
5
.000
Model
23.437
5
.000
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
68.058a
1
.299
.399
a. Estimation terminated at iteration number 5 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
tidak ada
Percentage
ada
Correct
tidak ada
26
7
78.8
ada
11
22
66.7
KEMENTERIAN KESEHATAN
RM.2.11/IC.SPenelitian/2016
DIREKTORAT JENDERAL BINA PELAYANAN KESEHATAN
RUMAH SAKIT UMUM PUSAT
H. ADAM MALIK
Jl. Bunga Lau No. 17 Medan Tuntungan Km.12 Kotak Pos 246
Telp. (061) 8364581-8360143-8360051 Fax. 8360255
MEDAN-20136
Nama :
Tgl.Lahir:
No. RM :
(Mohon ditempel Label)
PERSETUJUAN SETALAH PENJELASAN
(INFORMED CONSENT)
JUDUL PENELITIAN :
Analisis Faktor Risiko terhadap Kejadian Stroke di RSUP H. Adam Malik Medan
INSTANSI/SMF PELAKSANA :
Fakultas keperawatan Universitas Sumatera Utara
Bapak/Ibu yang terhormat ,
Saya Marta Telambanua mahasiswa S1 Ilmu Keperawatan Fakultas
Keperawatan Universitas Sumatera Utara yang akan melakukan penelitian
dengan tujuan untuk menganalisis faktor risiko kejadian stroke RSUP H. Adam
Malik Medan.
Saya sebagai peneliti untuk mencapai tujuan penelitian ini,
mengharapkan partisipasi bapak/ibu/saudara sebagai responden untuk
menjawab pertanyaan kuisioner yang akan penelti tanyakan. Hasil pengisian
kuisioner oleh responden, peneliti akan menjamin kerahasiaan dan tidak ada
orang lain yang membacanya selain peneliti sendiri. Semua data dan informasi
yang didapat dari bapak/ibu/saudara akan digunakan hanya untuk kepentingan
penelitian dalam mengembangkan ilmu keperawatan dan sebagai bukti
penelitian yang benar atau sah dalam penelitian.
Keikutsertaan sebagai responden dalm penelitian ini bersifat sukarela,
jika tidak berkenan menjadi responden, bapak/ibu/saudara berhak untuk tidak
ikut berperan serta tanpa sangsi apapun. Apabila bapak/ibu/saudara setuju
berpartisipasi maka saya mohon kesediaannya menandatangani lembar
persetujuan menjadi responden.
Demikian atas partisipasi dan kerjasamanya, saya ucapkan terimakasih.
Peneliti,
( Marta Telambanua
)
Universitas Sumatera Utara
KEMENTERIAN KESEHATAN
RM.2.11/IC.SPenelitian/2016
DIREKTORAT JENDERAL BINA PELAYANAN KESEHATAN
Nama :
Tgl.Lahir:
No. RM :
(Mohon ditempel Label)
RUMAH SAKIT UMUM PUSAT
H. ADAM MALIK
Jl. Bunga Lau No. 17 Medan Tuntungan Km.12 Kotak Pos 246
Telp. (061) 8364581-8360143-8360051 Fax. 8360255
MEDAN-20136
LEMBARAN PERSETUJUAN
Setelah membaca lembaran penjelasan di atas dan sudah dimengerti, kami
Nama
:
Alamat
:
Orang Tua/Wali dari
:
bersedia untuk turut serta sebagai subyek dalam penelitian atas nama : Marta
Telambanua
dengan judul penelitian : Analisis Faktor Risiko terhadap Kejadian Stroke di RSUP
H. Adam Malik Medan.
Menyatakan tidak keberatan maupun melakukan tuntutan di kemudian hari.
Demikian pernyataan ini saya perbuat dalam keadaan sehat, penuh kesadaran dan
tanpa paksaan dari pihak manapun.
Medan,
2016
……………………………………
………….
nama terang
Saksi :
Nama Terang
: ……………………………………..
Tanda Tangan : …………………………………….
Universitas Sumatera Utara
Lampiran 3
KUISIONER
1. Usia
No. Responden
:
Tgl. Pengumpulan Data
:
:
2. Jenis kelamin
Perempuan
Laki – laki
3. Riwayat Penyakit Keluarga
Hipertensi
Diabetes Melitus
Jantung
Stroke
4. Riwayat Hipertensi
Ya
Tidak
5. Riwayat Hiperkolesterolemia
Ya
Tidak
6. Riwayat Penyakit Jantung
Ya
Tidak
7. Riwayat Penyakit Diabetes Melitus
Ya
Tidak
Universitas Sumatera Utara
8. Riwayat Merokok
Ya
Tidak
9. Riwayat konsumsi Alkohol
Ya
Tidak
10. Riwayat aktivitas Fisik
Ya
Tidak
11. Kejadian stroke
Tidak
Stroke
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
MASTER DATA
Usia J.Kelamin
3
2
4
1
3
2
5
1
4
2
2
1
4
2
4
2
4
2
4
2
4
2
4
2
4
1
5
2
4
2
4
1
5
2
4
1
3
2
3
1
1
1
4
2
5
1
4
2
4
1
4
1
4
1
2
2
5
2
4
1
5
1
2
1
5
1
3
2
4
2
3
2
Rwt
Stroke
Kel.
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
Rwt
Hipertensi
1
0
1
0
1
0
1
1
1
0
0
1
1
1
1
0
1
1
0
1
0
1
1
1
1
1
1
0
1
1
1
1
1
0
1
0
Rwt
HPK
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Rwt
PJK
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
1
1
1
0
0
0
0
0
0
0
0
Rwt
DM
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
Rwt
Rwt
Rwt
Kej.
Merokok K.Akohol Akt.Fisik Stroke
0
0
0
1
0
0
0
1
1
0
0
1
0
0
0
1
0
1
0
1
1
0
0
1
0
0
0
1
0
0
0
1
1
1
0
1
1
0
0
1
1
1
0
1
0
0
0
1
0
0
0
1
1
0
0
1
0
0
0
1
0
0
0
1
1
0
0
1
0
0
0
1
1
1
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
Universitas Sumatera Utara
4
5
5
4
3
4
3
4
5
5
4
3
4
3
4
5
5
4
3
4
3
4
5
5
4
3
4
3
4
5
1
2
2
1
2
2
2
1
2
2
1
2
2
2
1
2
2
1
2
2
2
1
2
2
1
2
2
2
1
2
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
1
1
0
0
0
0
1
0
1
0
1
1
0
0
1
0
1
0
0
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
CROSSTABS
Universitas Sumatera Utara
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
/TABLES=kejadianstroke BY usia jeniskelamin riwayatkeluargastroke riwayathipertensi riwayathiperkolester
olemia riwayatpjk riwayatd
m riwayatmerokok riwayatkonsumsialkohol riwayataktivitasfisik
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL.
Crosstabs
Case Processing Summary
Cases
Valid
N
Missing
Percent
N
Total
Percent
N
Percent
kejadianstroke * usia
66
100.0%
0
.0%
66
100.0%
kejadianstroke * jeniskelamin
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
kejadianstroke * riwayatpjk
66
100.0%
0
.0%
66
100.0%
kejadianstroke * riwayatdm
66
100.0%
0
.0%
66
100.0%
kejadianstroke * riwayatmerokok
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
66
100.0%
0
.0%
66
100.0%
kejadianstroke *
riwayatkeluargastroke
kejadianstroke *
riwayathipertensi
kejadianstroke *
riwayathiperkolesterolemia
kejadianstroke *
riwayatkonsumsialkohol
kejadianstroke *
riwayataktivitasfisik
kejadianstroke * usia
Crosstab
Universitas Sumatera Utara
Count
Usia
Dewasa awal
Kejadianstroke
Dewasa akhir
Lansia awal
Lansia akhir
Manula
tidak ada
0
0
10
14
ada
1
3
4
18
1
3
14
32
Total
Chi-Square Tests
Asymp. Sig. (2Value
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear Association
df
sided)
7.321a
4
.120
8.954
4
.062
.490
1
.484
N of Valid Cases
66
a. 4 cells (40,0%) have expected count less than 5. The minimum expected
count is ,50.
kejadianstroke * jeniskelamin
Crosstab
Count
jeniskelamin
laki-laki
kejadianstroke
tidak ada
ada
Total
perempuan
Total
9
24
33
16
17
33
25
41
66
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
Universitas Sumatera Utara
3.155a
1
.076
Continuity Correction
2.318
1
.128
Likelihood Ratio
3.187
1
.074
Pearson Chi-Square
b
Fisher's Exact Test
.127
Linear-by-Linear Association
3.107
N of Valid Casesb
1
.064
.078
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 12,50.
b. Computed only for a 2x2 table
kejadianstroke * riwayatkeluargastroke
Crosstab
Count
riwayatkeluargastroke
tidak ada
kejadianstroke
ada
Total
tidak ada
29
4
33
ada
30
3
33
59
7
66
Total
Chi-Square Tests
Value
Df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
.160a
1
.689
Continuity Correctionb
.000
1
1.000
Likelihood Ratio
.160
1
.689
Pearson Chi-Square
Fisher's Exact Test
Linear-by-Linear Association
N of Valid Casesb
1.000
.157
1
.692
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
b. Computed only for a 2x2 table
Universitas Sumatera Utara
.500
kejadianstroke * riwayathipertensi
Crosstab
Count
riwayathipertensi
tidak ada
kejadianstroke
tidak ada
Total
22
11
33
9
24
33
31
35
66
ada
Total
ada
Chi-Square Tests
Value
Pearson Chi-Square
b
Continuity Correction
Likelihood Ratio
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
Df
10.280a
1
.001
8.759
1
.003
10.570
1
.001
Fisher's Exact Test
.003
Linear-by-Linear Association
b
N of Valid Cases
10.124
1
.001
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 15,50.
b. Computed only for a 2x2 table
kejadianstroke * riwayathiperkolesterolemia
Crosstab
Count
riwayathiperkolesterolemia
tidak ada
kejadianstroke
ada
Total
tidak ada
28
5
33
ada
31
2
33
Universitas Sumatera Utara
.001
Crosstab
Count
riwayathiperkolesterolemia
tidak ada
kejadianstroke
ada
Total
tidak ada
28
5
33
ada
31
2
33
59
7
66
Total
Chi-Square Tests
Value
Pearson Chi-Square
df
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.230
.639
1
.424
1.481
1
.224
1.438
b
Continuity Correction
Likelihood Ratio
Asymp. Sig. (2-
Fisher's Exact Test
.427
Linear-by-Linear Association
1.416
b
N of Valid Cases
1
.234
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
b. Computed only for a 2x2 table
kejadianstroke * riwayatpjk
Crosstab
Count
riwayatpjk
tidak ada
kejadianstroke
ada
Total
tidak ada
32
1
33
ada
26
7
33
Universitas Sumatera Utara
.213
Crosstab
Count
riwayatpjk
tidak ada
kejadianstroke
ada
Total
tidak ada
32
1
33
ada
26
7
33
58
8
66
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.024
Continuity Correction
3.556
1
.059
Likelihood Ratio
5.684
1
.017
Pearson Chi-Square
5.121
b
Fisher's Exact Test
.054
Linear-by-Linear Association
5.043
b
N of Valid Cases
1
.025
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 4,00.
b. Computed only for a 2x2 table
kejadianstroke * riwayatdm
Crosstab
Count
riwayatdm
tidak ada
kejadianstroke
Total
ada
Total
tidak ada
30
3
33
ada
31
2
33
61
5
66
Universitas Sumatera Utara
.027
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
.216a
1
.642
Continuity Correctionb
.000
1
1.000
Likelihood Ratio
.218
1
.641
Pearson Chi-Square
Fisher's Exact Test
1.000
Linear-by-Linear Association
.213
N of Valid Casesb
1
.500
.644
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 2,50.
b. Computed only for a 2x2 table
kejadianstroke * riwayatmerokok
Crosstab
Count
riwayatmerokok
tidak ada
kejadianstroke
ada
Total
tidak ada
30
3
33
ada
24
9
33
54
12
66
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.056
Continuity Correctionb
2.546
1
.111
Likelihood Ratio
3.808
1
.051
Pearson Chi-Square
3.667
Universitas Sumatera Utara
Fisher's Exact Test
.108
Linear-by-Linear Association
3.611
b
N of Valid Cases
1
.054
.057
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,00.
b. Computed only for a 2x2 table
kejadianstroke * riwayatkonsumsialkohol
Crosstab
Count
riwayatkonsumsialkohol
tidak ada
kejadianstroke
ada
Total
tidak ada
32
1
33
ada
28
5
33
60
6
66
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.087
Continuity Correction
1.650
1
.199
Likelihood Ratio
3.178
1
.075
Pearson Chi-Square
2.933
b
Fisher's Exact Test
Linear-by-Linear Association
b
N of Valid Cases
.197
2.889
1
.089
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,00.
b. Computed only for a 2x2 table
Universitas Sumatera Utara
.098
kejadianstroke * riwayataktivitasfisik
Crosstab
Count
riwayataktivitasfisik
tidak ada
kejadianstroke
Total
tidak ada
33
33
ada
33
33
66
66
Total
Chi-Square Tests
Value
Pearson Chi-Square
N of Valid Cases
.
a
66
a. No statistics are computed because
riwayataktivitasfisik is a constant.
Hasil Uji Bivariat
kejadianstroke * usia Crosstabulation
usia
Tidak berisiko
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
Berisiko
Total
10
23
33
30.3%
69.7%
100.0%
8
25
33
24.2%
75.8%
100.0%
18
48
66
27.3%
72.7%
100.0%
Chi-Square Tests
Universitas Sumatera Utara
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
.306a
1
.580
Continuity Correction
.076
1
.782
Likelihood Ratio
.306
1
.580
Pearson Chi-Square
b
Fisher's Exact Test
.783
Linear-by-Linear Association
.301
N of Valid Casesb
1
.391
.583
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 9,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for kejadianstroke (tidak
ada / ada)
For cohort usia = Tidak berisiko
For cohort usia = Berisiko
N of Valid Cases
Lower
Upper
1.359
.457
4.035
1.250
.565
2.767
.920
.684
1.237
66
kejadianstroke * jeniskelamin Crosstabulation
jeniskelamin
laki-laki
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
perempuan
Total
9
24
33
27.3%
72.7%
100.0%
16
17
33
48.5%
51.5%
100.0%
25
41
66
37.9%
62.1%
100.0%
Chi-Square Tests
Universitas Sumatera Utara
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
3.155a
1
.076
Continuity Correction
2.318
1
.128
Likelihood Ratio
3.187
1
.074
Pearson Chi-Square
b
Fisher's Exact Test
.127
Linear-by-Linear Association
3.107
b
N of Valid Cases
1
.064
.078
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 12,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for kejadianstroke (tidak
ada / ada)
For cohort jeniskelamin = laki-laki
For cohort jeniskelamin = perempuan
N of Valid Cases
.398
.143
1.112
.562
.291
1.087
1.412
.954
2.088
66
kejadianstroke * riwayatkeluargastroke Crosstabulation
riwayatkeluargastroke
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
ada
Total
29
4
33
87.9%
12.1%
100.0%
30
3
33
90.9%
9.1%
100.0%
59
7
66
89.4%
10.6%
100.0%
Chi-Square Tests
Universitas Sumatera Utara
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
.160a
1
.689
Continuity Correction
.000
1
1.000
Likelihood Ratio
.160
1
.689
Pearson Chi-Square
b
Fisher's Exact Test
1.000
Linear-by-Linear Association
.157
b
N of Valid Cases
1
.500
.692
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for kejadianstroke (tidak ada
/ ada)
.725
.149
3.525
.967
.818
1.142
1.333
.323
5.500
For cohort riwayatkeluargastroke = tidak
ada
For cohort riwayatkeluargastroke = ada
N of Valid Cases
66
kejadianstroke * riwayathipertensi Crosstabulation
riwayathipertensi
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
ada
Total
22
11
33
66.7%
33.3%
100.0%
9
24
33
27.3%
72.7%
100.0%
31
35
66
47.0%
53.0%
100.0%
Universitas Sumatera Utara
Chi-Square Tests
Value
Pearson Chi-Square
b
Likelihood Ratio
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
a
1
.001
8.759
1
.003
10.570
1
.001
10.280
Continuity Correction
Asymp. Sig. (2-
Fisher's Exact Test
.003
Linear-by-Linear Association
b
N of Valid Cases
10.124
1
.001
.001
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 15,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for kejadianstroke (tidak ada
/ ada)
For cohort riwayathipertensi = tidak ada
For cohort riwayathipertensi = ada
N of Valid Cases
5.333
1.859
15.301
2.444
1.332
4.486
.458
.271
.775
66
kejadianstroke * riwayathiperkolesterolemia Crosstabulation
riwayathiperkolesterolemia
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
ada
Total
28
5
33
84.8%
15.2%
100.0%
31
2
33
93.9%
6.1%
100.0%
59
7
66
Universitas Sumatera Utara
kejadianstroke * riwayathiperkolesterolemia Crosstabulation
riwayathiperkolesterolemia
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Total
5
33
84.8%
15.2%
100.0%
31
2
33
93.9%
6.1%
100.0%
59
7
66
89.4%
10.6%
100.0%
Count
% within kejadianstroke
Total
28
Count
% within kejadianstroke
ada
Chi-Square Tests
Value
Pearson Chi-Square
df
Likelihood Ratio
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.230
.639
1
.424
1.481
1
.224
1.438
Continuity Correctionb
Asymp. Sig. (2-
Fisher's Exact Test
.427
Linear-by-Linear Association
1.416
b
N of Valid Cases
1
.234
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for
kejadianstroke (tidak ada /
.361
.065
2.013
.903
.763
1.069
ada)
For cohort
riwayathiperkolesterolemia =
tidak ada
Universitas Sumatera Utara
.213
For cohort
riwayathiperkolesterolemia =
2.500
.522
11.983
ada
N of Valid Cases
66
kejadianstroke * riwayatpjk Crosstabulation
riwayatpjk
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Total
1
33
97.0%
3.0%
100.0%
26
7
33
78.8%
21.2%
100.0%
58
8
66
87.9%
12.1%
100.0%
Count
% within kejadianstroke
Total
32
Count
% within kejadianstroke
ada
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
a
1
.024
Continuity Correction
3.556
1
.059
Likelihood Ratio
5.684
1
.017
Pearson Chi-Square
5.121
b
Fisher's Exact Test
.054
Linear-by-Linear Association
b
N of Valid Cases
5.043
1
.025
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 4,00.
b. Computed only for a 2x2 table
Risk Estimate
Universitas Sumatera Utara
.027
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for
kejadianstroke (tidak ada /
8.615
.995
74.574
1.231
1.021
1.484
.143
.019
1.098
ada)
For cohort riwayatpjk = tidak
ada
For cohort riwayatpjk = ada
N of Valid Cases
66
kejadianstroke * riwayatdm Crosstabulation
riwayatdm
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
Ada
Total
3
33
90.9%
9.1%
100.0%
31
2
33
93.9%
6.1%
100.0%
61
5
66
92.4%
7.6%
100.0%
Count
% within kejadianstroke
Total
30
Count
% within kejadianstroke
ada
Chi-Square Tests
Value
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
Universitas Sumatera Utara
.216a
1
.642
Continuity Correction
.000
1
1.000
Likelihood Ratio
.218
1
.641
Pearson Chi-Square
b
Fisher's Exact Test
1.000
Linear-by-Linear Association
.213
N of Valid Casesb
1
.500
.644
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 2,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Lower
Upper
Odds Ratio for kejadianstroke (tidak
ada / ada)
For cohort riwayatdm = tidak ada
For cohort riwayatdm = ada
N of Valid Cases
.645
.101
4.137
.968
.843
1.111
1.500
.268
8.401
66
kejadianstroke * riwayatmerokok Crosstabulation
riwayatmerokok
tidak ada
kejadianstroke
tidak ada
Count
30
ada
Total
3
33
Universitas Sumatera Utara
% within kejadianstroke
Ada
90.9%
9.1%
100.0%
24
9
33
72.7%
27.3%
100.0%
54
12
66
81.8%
18.2%
100.0%
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
Chi-Square Tests
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
a
1
.056
Continuity Correction
2.546
1
.111
Likelihood Ratio
3.808
1
.051
Pearson Chi-Square
3.667
b
Fisher's Exact Test
.108
Linear-by-Linear Association
3.611
b
N of Valid Cases
1
.054
.057
66
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for kejadianstroke (tidak ada /
ada)
For cohort riwayatmerokok = tidak ada
Lower
Upper
3.750
.913
15.400
1.250
.988
1.581
.333
.099
1.123
For cohort riwayatmerokok = ada
N of Valid Cases
66
kejadianstroke * riwayatkonsumsialkohol Crosstabulation
riwayatkonsumsialkohol
tidak ada
kejadianstroke
tidak ada
Count
% within kejadianstroke
ada
Total
32
1
33
97.0%
3.0%
100.0%
Universitas Sumatera Utara
ada
Count
% within kejadianstroke
Total
28
5
33
84.8%
15.2%
100.0%
60
6
66
90.9%
9.1%
100.0%
Count
% within kejadianstroke
Chi-Square Tests
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
2.933a
1
.087
Continuity Correction
1.650
1
.199
Likelihood Ratio
3.178
1
.075
Pearson Chi-Square
b
Fisher's Exact Test
.197
Linear-by-Linear Association
2.889
b
N of Valid Cases
1
.098
.089
66
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for kejadianstroke (tidak ada / ada)
For cohort riwayatkonsumsialkohol = tidak ada
For cohort riwayatkonsumsialkohol = ada
N of Valid Cases
Lower
Upper
5.714
.629
51.888
1.143
.978
1.336
.200
.025
1.620
66
kejadianstroke * riwayataktivitasfisik Crosstabulation
riwayataktivitasfisik
tidak ada
kejadianstroke
tidak ada
Count
Total
33
Universitas Sumatera Utara
33
% within kejadianstroke
ada
Count
% within kejadianstroke
Total
Count
% within kejadianstroke
100.0%
100.0%
33
33
100.0%
100.0%
66
66
100.0%
100.0%
Chi-Square Tests
Value
.a
Pearson Chi-Square
N of Valid Cases
66
a. No statistics are computed because
riwayataktivitasfisik is a constant.
Risk Estimate
Value
Odds Ratio for kejadianstroke
(tidak ada / ada)
.a
a. No statistics are computed because
riwayataktivitasfisik is a constant.
FREQUENCIES VARIABLES=usia jeniskelamin riwayatkeluargastroke riwayathipertensi riwayathiperkolesterol
emia riwayatpjk riwayatdm riwa
yatmerokok riwayatkonsumsialkohol riwayataktivitasfisik kejadianstroke
/STATISTICS=STDDEV MINIMUM MAXIMUM MEAN
/ORDER=ANALYSIS.
Frequencies
Universitas Sumatera Utara
Statistics
Riwayat
Riwayat
Jenis Riwayat Riwayat hiperkol
konsum
kela keluarg hiperten esterole Riwayat Riwayat Riwayat
usia min a stroke
N
Valid
Deviation
pjk
dm
Kejadian
merokok alkohol aktivitas fisik
stroke
66
66
66
66
66
66
66
66
66
66
0
0
0
0
0
0
0
0
0
0
0
3.89 1.62
.11
.53
.11
.12
.08
.18
.09
.00
.50
.879 .489
.310
.503
.310
.329
.267
.389
.290
.000
.504
ng
Std.
mia
Riwayat
66
Missi
Mean
si
si
Minimum
1
1
0
0
0
0
0
0
0
0
0
Maximum
5
2
1
1
1
1
1
1
1
0
1
Frequency Table
Usia
Cumulative
Frequency
Valid
Percent
Valid Percent
Percent
Dewasa awal
1
1.5
1.5
1.5
Dewasa akhir
3
4.5
4.5
6.1
Lansia awal
14
21.2
21.2
27.3
Lansia akhir
32
48.5
48.5
75.8
Manula
16
24.2
24.2
100.0
Total
66
100.0
100.0
Jeniskelamin
Cumulative
Frequency
Valid
laki-laki
25
Percent
37.9
Valid Percent
37.9
Percent
37.9
Universitas Sumatera Utara
perempuan
41
62.1
62.1
Total
66
100.0
100.0
100.0
Riwayatkeluargastroke
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
59
89.4
89.4
89.4
ada
7
10.6
10.6
100.0
Total
66
100.0
100.0
Riwayathipertensi
Cumulative
Frequency
Valid
Percent
Valid Percent
Percent
tidak ada
31
47.0
47.0
47.0
ada
35
53.0
53.0
100.0
Total
66
100.0
100.0
Riwayathiperkolesterolemia
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
59
89.4
89.4
89.4
ada
7
10.6
10.6
100.0
Total
66
100.0
100.0
Riwayatpjk
Universitas Sumatera Utara
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
58
87.9
87.9
87.9
ada
8
12.1
12.1
100.0
Total
66
100.0
100.0
Riwayatdm
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
61
92.4
92.4
92.4
ada
5
7.6
7.6
100.0
Total
66
100.0
100.0
Riwayatmerokok
Cumulative
Frequency
Valid
Percent
Valid Percent
Percent
tidak ada
54
81.8
81.8
81.8
ada
12
18.2
18.2
100.0
Total
66
100.0
100.0
Riwayatkonsumsialkohol
Cumulative
Frequency
Valid
tidak ada
Percent
Valid Percent
Percent
60
90.9
90.9
90.9
ada
6
9.1
9.1
100.0
Total
66
100.0
100.0
Universitas Sumatera Utara
Riwayataktivitasfisik
Cumulative
Frequency
Valid
tidak ada
Percent
66
Valid Percent
100.0
Percent
100.0
100.0
Kejadianstroke
Cumulative
Frequency
Valid
Percent
Valid Percent
Percent
tidak ada
33
50.0
50.0
50.0
ada
33
50.0
50.0
100.0
Total
66
100.0
100.0
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER usia
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
Usia
Overall Statistics
df
Sig.
.497
1
.481
.497
1
.481
Block 1: Method = Enter
Universitas Sumatera Utara
1.000
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
.500
1
.480
Block
.500
1
.480
Model
.500
1
.480
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
90.996a
1
.008
.010
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
Kejadianstroke
tidak ada
Percentage
ada
Correct
tidak ada
23
10
69.7
ada
25
8
24.2
Overall Percentage
47.0
a. The cut value is ,500
Variables in the Equation
95,0%
B
Step 1a
Usia
Constant
S.E.
Wald
df
Sig.
Exp(B)
-.201
.286
.493
1
.483
.818
.782
1.142
.469
1
.493
2.187
Universitas Sumatera Utara
Lower
.4
Variables in the Equation
95,0%
B
Step 1a
Usia
S.E.
-.201
Wald
.286
df
.493
Sig.
1
Exp(B)
.483
a. Variable(s) entered on step 1: usia.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER jeniskelamin
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
Universitas Sumatera Utara
.818
Lower
.4
Classification Tablea,b
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
jeniskelamin
Overall Statistics
df
Sig.
3.155
1
.076
3.155
1
.076
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
3.187
1
.074
Block
3.187
1
.074
Model
3.187
1
.074
Universitas Sumatera Utara
1.000
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
a
1
88.308
.047
.063
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
24
9
72.7
ada
17
16
48.5
Overall Percentage
60.6
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
Wal
B
Step
a
1
jeniskel
amin
Consta
nt
S.E.
-.920
.524
1.496
.892
d
df
3.08
9
2.81
4
Sig.
Exp(B)
1
.079
.398
1
.093
4.462
Lower
.143
Upper
1.112
a. Variable(s) entered on step 1:
jeniskelamin.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatkeluargastroke
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Universitas Sumatera Utara
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
Kejadianstroke
Observed
Step 0
Kejadianstroke
tidak ada
Percentage
Ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
Df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
riwayatkeluargastroke
Overall Statistics
Df
Sig.
.160
1
.689
.160
1
.689
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
.160
1
.689
Block
.160
1
.689
Model
.160
1
.689
Model Summary
Step
-2 Log likelihood
Cox & Snell R
Nagelkerke R
Square
Square
91.335a
1
.002
.003
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
a
Classification Table
Observed
Predicted
Universitas Sumatera Utara
1.000
Kejadianstroke
tidak ada
Step 1
kejadianstroke
Percentage
Ada
Correct
tidak ada
4
29
12.1
ada
3
30
90.9
Overall Percentage
51.5
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
a
Step 1
riwayatkeluargastroke
Constant
S.E.
Wald
Df
Sig.
Exp(B)
-.322
.807
.159
1
.690
.725
.034
.260
.017
1
.896
1.034
Lower
.149
a. Variable(s) entered on step 1: riwayatkeluargastroke.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayathipertensi
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
Upper
3.525
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
Ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
Sig.
.000
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
Riwayathipertensi
Overall Statistics
df
Sig.
10.280
1
.001
10.280
1
.001
Block 1: Method = Enter
Universitas Sumatera Utara
1.000
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
10.570
1
.001
Block
10.570
1
.001
Model
10.570
1
.001
Model Summary
Step
-2 Log likelihood
Cox & Snell R
Nagelkerke R
Square
Square
80.925a
1
.148
.197
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
Kejadianstroke
tidak ada
tidak ada
Percentage
ada
Correct
22
11
66.7
9
24
72.7
Ada
Overall Percentage
69.7
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
S.E.
Wald df
Sig.
Exp(B)
Riwayathipertensi
1.674
.538 9.691 1
.002
5.333
Constant
-.894
.396 5.103 1
.024
.409
Lower
1.859
Universitas Sumatera Utara
Upper
15.301
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
Riwayathipertensi
1.674
S.E.
Wald df
Sig.
.538 9.691 1
Exp(B)
.002
5.333
Lower
1.859
a. Variable(s) entered on step 1: riwayathipertensi.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayathiperkolesterolemia
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
tidak ada
Internal Value
0
Universitas Sumatera Utara
Upper
15.301
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
Ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
1.000
Variables not in the Equation
Score
Step 0
Variables
riwayathiperkolesterolemia
Overall Statistics
df
Sig.
1.438
1
.230
1.438
1
.230
Block 1: Method = Enter
Universitas Sumatera Utara
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
1.481
1
.224
Block
1.481
1
.224
Model
1.481
1
.224
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
90.015a
1
.022
.030
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
tidak ada
Percentage
ada
Correct
tidak ada
5
28
15.2
Ada
2
31
93.9
Overall Percentage
54.5
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
Riwayathiperkolesterol
emia
Constant
S.E.
Wald
df
Sig.
Exp(B)
-1.018
.876
1.350
1
.245
.361
.102
.261
.152
1
.696
1.107
Lower
.065
Universitas Sumatera Utara
Upper
2.013
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
Riwayathiperkolesterol
emia
-1.018
S.E.
.876
Wald
df
1.350
Sig.
1
Exp(B)
.245
.361
Lower
.065
a. Variable(s) entered on step 1: riwayathiperkolesterolemia.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatpjk
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
ada
1
Block 0: Beginning Block
Universitas Sumatera Utara
Upper
2.013
Classification Tablea,b
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
Ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
Riwayatpjk
Overall Statistics
df
Sig.
5.121
1
.024
5.121
1
.024
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
5.684
1
.017
Block
5.684
1
.017
Model
5.684
1
.017
Universitas Sumatera Utara
1.000
Model Summary
Step
-2 Log likelihood
Cox & Snell R
Nagelkerke R
Square
Square
85.812a
1
.083
.110
a. Estimation terminated at iteration number 5 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
32
1
97.0
Ada
26
7
21.2
Overall Percentage
59.1
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
a
Step 1
riwayatp
jk
Constan
t
S.E.
Wald
df
Sig.
Exp(B)
2.154 1.101 3.825
1
.051
8.615
-.208
1
.432
.813
.264 .618
Lower
.995
Upper
74.574
a. Variable(s) entered on step 1: riwayatpjk.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatdm
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Universitas Sumatera Utara
Logistic Regression
Case Processing Summary
Unweighted Casesa
Selected Cases
N
Included in Analysis
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
Missing Cases
Total
Unselected Cases
Total
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
.000
df
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Universitas Sumatera Utara
1.000
Score
Step 0
Variables
riwayatdm
Overall Statistics
df
Sig.
.216
1
.642
.216
1
.642
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
.218
1
.641
Block
.218
1
.641
Model
.218
1
.641
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
91.278a
1
.003
.004
a. Estimation terminated at iteration number 3 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
Overall Percentage
tidak ada
Percentage
ada
Correct
tidak ada
3
30
9.1
ada
2
31
93.9
51.5
a. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
95,0% C.I.for EXP(B)
B
a
Step 1
riwayatd
m
Constan
t
S.E.
Wald
Df
Sig.
Exp(B)
-.438
.948
.214
1
.644
.645
.033
.256
.016
1
.898
1.033
Lower
Upper
.101
a. Variable(s) entered on step 1: riwayatdm.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatmerokok
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Universitas Sumatera Utara
4.137
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
riwayatmerokok
Overall Statistics
df
Sig.
3.667
1
.056
3.667
1
.056
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
3.808
1
.051
Block
3.808
1
.051
Model
3.808
1
.051
Universitas Sumatera Utara
1.000
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
a
1
87.688
.056
.075
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
30
3
90.9
ada
24
9
27.3
Overall Percentage
59.1
a. The cut value is ,500
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
riwayatmeroko
k
Constant
S.E.
Wald
df
Sig.
Exp(B)
1.322
.721
3.363
1
.067
3.750
-.223
.274
.664
1
.415
.800
Lower
.913
a. Variable(s) entered on step 1: riwayatmerokok.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayatkonsumsialkohol
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
Universitas Sumatera Utara
Upper
15.400
Unweighted Casesa
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
kejadianstroke
Observed
Step 0
kejadianstroke
tidak ada
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
.000
df
Sig.
1
Exp(B)
1.000
Universitas Sumatera Utara
1.000
Variables not in the Equation
Score
Step 0
Variables
riwayatkonsumsialkohol
Overall Statistics
df
Sig.
2.933
1
.087
2.933
1
.087
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
3.178
1
.075
Block
3.178
1
.075
Model
3.178
1
.075
Model Summary
Step
-2 Log likelihood
Cox & Snell R
Nagelkerke R
Square
Square
a
1
88.318
.047
.063
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
Overall Percentage
tidak ada
Percentage
ada
Correct
tidak ada
32
1
97.0
Ada
28
5
15.2
56.1
a. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
S.E.
riwayatkonsumsialkohol
1.743 1.126
Constant
-.134
Wald
.259
df
Sig.
Exp(B)
2.398
1
.122
5.714
.266
1
.606
.875
Lower
.629
a. Variable(s) entered on step 1: riwayatkonsumsialkohol.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER riwayataktivitasfisik
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Universitas Sumatera Utara
Upper
51.888
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
Sig.
.000
1
Exp(B)
1.000
1.000
Block 1: Method = Enter
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
a
1
91.495
.000
.000
a. Estimation terminated at iteration number 1 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
Kejadianstroke
Overall Percentage
tidak ada
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
50.0
Universitas Sumatera Utara
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. The cut value is ,500
Variables in the Equation
B
Step 1
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER jeniskelamin riwayathipertensi riwayathiperkolesterolemia riwayatpjk riwayatmerokok ri
wayatkonsumsialkohol
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
ase Processing Summary
Unweighted Casesa
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
1.000
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
kejadianstroke
Observed
Step 0
tidak ada
kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
.000
Sig.
1
Exp(B)
1.000
1.000
Variables not in the Equation
Score
Step 0
Variables
Jeniskelamin
df
Sig.
3.155
1
.076
10.280
1
.001
riwayathiperkolesterolemia
1.438
1
.230
riwayatpjk
5.121
1
.024
riwayatmerokok
3.667
1
.056
riwayatkonsumsialkohol
2.933
1
.087
Riwayathipertensi
Universitas Sumatera Utara
Variables not in the Equation
Score
Step 0
Variables
Jeniskelamin
df
Sig.
3.155
1
.076
10.280
1
.001
riwayathiperkolesterolemia
1.438
1
.230
riwayatpjk
5.121
1
.024
riwayatmerokok
3.667
1
.056
riwayatkonsumsialkohol
2.933
1
.087
21.060
6
.002
Riwayathipertensi
Overall Statistics
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
24.484
6
.000
Block
24.484
6
.000
Model
24.484
6
.000
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
a
1
67.011
.310
.413
a. Estimation terminated at iteration number 5 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
Overall Percentage
tidak ada
Percentage
ada
Correct
tidak ada
27
6
81.8
ada
12
21
63.6
72.7
a. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
95,0% C.I.for EXP(B)
B
Step 1a
S.E.
Wald
df
Sig.
Exp(B)
Lower
jeniskelamin
-.976
.622
2.460
1
.117
.377
.111
1.276
riwayathipertensi
1.631
.617
6.988
1
.008
5.106
1.524
17.105
-1.207
1.227
.968
1
.325
.299
.027
3.312
riwayatpjk
2.258
1.181
3.654
1
.056
9.566
.944
96.905
riwayatmerokok
1.081
.992
1.187
1
.276
2.947
.422
20.596
riwayatkonsumsialkohol
1.837
1.615
1.295
1
.255
6.281
.265
148.808
.237
1.086
.048
1
.827
1.268
riwayathiperkolesterolem
ia
Constant
a. Variable(s) entered on step 1: jeniskelamin, riwayathipertensi, riwayathiperkolesterolemia, riwayatpjk,
riwayatmerokok, riwayatkonsumsialkohol.
LOGISTIC REGRESSION VARIABLES kejadianstroke
/METHOD=ENTER jeniskelamin riwayathipertensi riwayatpjk riwayatmerokok riwayatkonsumsialkohol
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Case Processing Summary
a
Unweighted Cases
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Upper
Percent
66
100.0
0
.0
66
100.0
0
.0
66
100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
Dependent Variable Encoding
Original
Value
Internal Value
tidak ada
0
Ada
1
Block 0: Beginning Block
a,b
Classification Table
Predicted
kejadianstroke
Observed
Step 0
tidak ada
Kejadianstroke
Percentage
ada
Correct
tidak ada
0
33
.0
ada
0
33
100.0
Overall Percentage
50.0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
.000
Wald
.246
df
Sig.
.000
1
Exp(B)
1.000
Variables not in the Equation
Score
Step 0
Variables
Jeniskelamin
df
Sig.
3.155
1
.076
10.280
1
.001
riwayatpjk
5.121
1
.024
riwayatmerokok
3.667
1
.056
riwayatkonsumsialkohol
2.933
1
.087
20.523
5
.001
riwayathipertensi
Overall Statistics
Universitas Sumatera Utara
1.000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
Step 1
Df
Sig.
Step
23.437
5
.000
Block
23.437
5
.000
Model
23.437
5
.000
Model Summary
Step
Cox & Snell R
Nagelkerke R
Square
Square
-2 Log likelihood
68.058a
1
.299
.399
a. Estimation terminated at iteration number 5 because parameter
estimates changed by less than ,001.
a
Classification Table
Predicted
kejadianstroke
Observed
Step 1
kejadianstroke
tidak ada
Percentage
ada
Correct
tidak ada
26
7
78.8
ada
11
22
66.7