Hubungan Faktor Risiko Hipertensi dengan Kejadian Hipertensi pada Masyarakat Pesisir Laut Kecamatan Belawan
LAMPIRAN
DAFTAR RIWAYAT HIDUP
Nama : Uli Asri Sihotang Tempar / Tanggal Lahir : Ternate / 19 Juni 1992 Agama : Kristen Protestan Alamat : Jalan Setra Dago I No.9 Antapani, Bandung Riwayat Pendidikan :
1. Sekolah Dasar Santo Yusup Bandung (1998-2004)
2. Sekolah Menengah Pertama Providentia Bandung (2004-2007)
3. Sekolah Menengah Atas Negeri 14 Bandung (2007-2010) Riwayat Organisasi :
1. Anggota Seksi Administrasi dan Kesekretariatan Pekan Olahraga dan Seni
(PORSENI) FK USU tahun 2010
2. Sekretaris Kelompok Mahasiswa Kristen FK USU 2010 tahun 2011 -
sekarang3. Anggota Seksi Doa Perayaan Paskah FK USU tahun 2011
4. Anggota Seksi Logistik Komisi Pemilihan Umum FK USU tahun 2012
5. Anggota Seksi Konsumsi Perayaan Paskah FK USU tahun 2012
6. Anggota Seksi Konsumsi Pengabdian Masyarakat Mahasiswa Kristen tahun
2013LEMBAR PENJELASAN MENJADI RESPONDEN
Saya yang bernama Uli Asri Sihotang adalah mahasiswi Program
Studi Kedokteran Universitas Sumatera Utara. Saat ini saya sedang melakukan
penelitian tentang “Hubungan Faktor Risiko Hipertensi dengan Kejadian
Hipertensi pada Masyarakat Pesisir Laut Kecamatan Belawan”. Penelitian ini
merupakan salah satu kegiatan dalam menyelesaikan tugas akhir di Program Studi Kedokteran.Untuk keperluan tersebut saya mohon kesediaan Bapak/ Ibu untuk
menjadi responden dalam penelitian ini. Pada penelitian ini bapak dan ibu akan
diukur tekanan darah, tinggi badan, dan berat badan selanjutnya saya mohon agar
mengisi kuesioner dengan jujur dan apa adanya. Jika bersedia, silahkan
menandatangani lembar persetujuan ini sebagai bukuti kesukarelaan.Partisipasi Bapak/ Ibu dalam penelitian ini bersifat sukarela, sehingga bebas mengundurkan diri setiap saat tanpa sanksi apapun. Identitas pribadi ibu/
bapak dan semua informasi yang berikan akan dirahasiakan dan hanya digunakan
untuk keperluan penelitian ini.
Terimakasih atas partisipasi Bapak/Ibu dalam penelitian ini.
Medan, Agustus 2013 Peneliti, Uli Asri Sihotang
INFORMED CONSENT
Yang bertanda tangan di bawah ini : Nama : Umur : Alamat :
Setelah mendapat keterangan secukupnya serta mengetahui tentang manfaat
penelitian yang berjudul “Hubungan Faktor Risiko Hipertensi dengan Kejadian
Hipertensi pada Masyarakat Pesisir Laut Kecamatan Belawan“ saya menyatakan
bersedia / tidak bersedia *) diikutsertakan dalam penelitian ini. Saya percaya yang saya sampaikan ini dijamin kebenarannya.
Medan, Agustus 2013
Peneliti, Responden Uli Asri Sihotang ( )KUISIONER PENELITIAN
HUBUNGAN FAKTOR RISIKO HIPERTENSI DENGAN KEJADIA
HIPERTENSI PADA MASYARAKAT PESISIR LAUT KECAMATANBELAWAN
Identitas Responden
No.Responden : Nama : Umur : Jenis Kelamin : Pekerjaan : Suku :
Pemeriksaan Tanda Vital (diisi oleh peneliti)
Tinggi Badan (TB) : m Berat Badan (BB) : kg Indeks Massa Tubuh (IMT) :
�
2 Tekanan Darah Sistol : mmHg; diastol: mmHg
Pola Genetik
1. Apakah didalam keluarga anda ada yang mempunyai Riwayat tekanan
darah tinggi? a) Ya (ayah, ibu, nenek, kakek, dan hubungan sedarah)b) Tidak
Kebiasaan Merokok
2. Apakah anda mempunyai kebiasaan merokok ? (jika Ya,lanjut ke pertanyaan no. 8) a. Ya
b. Tidak
c. Kurang dari 20 batang per hari
d. Lebih dari 20 batang per hari No. Nama JK Umur Pekerjaan Suku BB TB
IMT TD Sistol Diasto
80
27 Susiawati P
80
60 Swasta Aceh 71 1,65 26,07897153 190
26 Sulaiman L
42 IRT Jawa 65 1,6 25,390625 150 100
25 Sriyanti P
80
52 Nelayan Minang 57 1,65 20,93663912 120
24 Sayiman L
43 IRT Jawa 59 1,5 26,22222222 120
80
23 Riana P
54 IRT Mandailing 78 1,53 33,32051775 200 150
22 Mahyuni P
80
55 IRT Melayu 80 1,52 34,62603878 130
21 Salma P
78
53 Swasta Minang 46 1,48 21,00073046 150
20 Aisyah P
70
48 IRT Melayu 57 1,52 24,67105263 110
28 Mery P
19 Siti P
90
64 Nelayan Melayu 67 1,68 23,73866213 150
36 M. Nur L
80
40 Swasta Jawa 66 1,7 22,83737024 140
35 Batram L
68 Nelayan Melayu 58 1,6 22,65625 200 120
34 Hasanuddin L
90
47 Swasta Jawa 75 1,7 25,95155709 140
33 Supandi L
52 Swasta Melayu 52 1,8 16,04938272 140
58 Kepling Karo 73 1,61 28,16249373 130
32 Rahmad L
58 Nelayan Melayu 70 1,7 24,22145329 200 100
31 M. Sair L
80
53 Nelayan Melayu 62 1,52 26,83518006 140
30 Nazaruddin L
80
43 Tkg. Ojek Mandailing 64 1,63 24,08822312 110
29 Sabaruddin L
80
54 IRT Aceh 59 1,5 26,22222222 110
90
1 Akhirudin L
70
9 Baharuddin L
80
56 IRT Melayu 53 1,5 23,55555556 120
8 Sopia P
70
43 IRT Melayu 50 1,5 22,22222222 110
7 Farda P
90
49 IRT Jawa 53 1,55 22,0603538 170
6 Juraida P
60 Pedagang Aceh 57 1,54 24,03440715 180
80
5 Arri P
44 IRT Jawa 53 1,53 22,64086462 180 140
4 Sri P
70
43 IRT Melayu 47 1,5 20,88888889 110
3 Asmah P
70 IRT Melayu 62 1,5 27,55555556 130 100
2 Emmi P
80
64 Nelayan Melayu 60 1,7 20,76124567 135
53 Pengangguran Melayu 60 1,6 23,4375 140
10 Amini P
57 Nelayan Aceh 95 1,71 32,48862898 130
15 Nurlela P
18 Ibrahim L
70
46 Serabutan Jawa 43 1,45 20,45184304 110
17 Peritawati P
50
90
56 PNS Batak 50 1,48 22,82688093
16 Ningrat P
70
40 IRT Melayu 61 1,55 25,39021852 100
37 IRT Jawa 65 1,58 26,03749399 150 100
61 IRT Jawa 51 1,5 22,66666667 140
14 Nurhayati P
80
50 IRT Jawa 84 1,61 32,40615717 120
13 Supiati P
90
42 IRT Mandailing 58 1,45 27,5862069 180
12 Martiara P
60 IRT Jawa 61 1,6 23,828125 170 100
11 Jamiah P
70
80
37 Kasiman L
62 Marini P
80
63 Tkg.Beca Batak 54 1,53 23,06805075 150
65 Marlon L
90
66 Nelayan Batak 77 1,63 28,98114344 180
64 Ishak L
50
31 IRT Batak 42 1,54 17,70956316 100
63 Putri P
65
30 IRT Batak 52 1,51 22,80601728 105
60
53 IRT Minang 56 1,6 21,875 130
32 IRT Mandailing 54 1,53 23,06805075 110
61 Tari P
80
35 IRT Melayu 70 1,58 28,04037814 140
60 Novi P
70
31 IRT Batak 57 1,57 23,12467037 110
59 Jeni P
70
45 Pedagang Batak 60 1,56 24,65483235 115
58 Sinta P
66 Suherni P
80
35 Swasta Melayu 56 1,65 20,56932966 120
70
54 IRT Jawa 51 1,46 23,92568962 115
75 Pujawati P
70
29 IRT Mandailing 50 1,52 21,64127424 100
74 Saharani P
90
42 IRT Jawa 57 1,55 23,72528616 140
73 Erlina P
80
57 Pensiunan Batak 65 1,65 23,87511478 140
72 T.Sinaga L
34 IRT Batak 50 1,56 20,54569362 110
67 Cinta P
71 Roma P
80
40 Swasta Batak 75 1,62 28,57796068 130
70 Ruslan L
80
43 IRT Melayu 54 1,52 23,37257618 130
69 Riawati P
53 IRT Batak 57 1,57 23,12467037 200 100
68 Susanti P
80
52 IRT Melayu 84 1,55 34,9635796 120
80
57 Rina P
75 Nelayan Jawa 45 1,48 20,54419284 130
80
54 IRT Melayu 48 1,5 21,33333333 140
46 Siti P
80
51 Pedagang Aceh 80 1,57 32,45567772 120
45 Sakdia P
90
39 IRT Melayu 79 1,5 35,11111111 140
44 Radiah P
60
48 IRT Melayu 69 1,54 29,09428234 110
43 Armaini P
80 PNS Jawa 51 1,62 19,43301326 130
47 Supiani P
42 Usman L
48 IRT Melayu 60 1,45 28,53745541 170 110
41 Fatimah P
52 Nelayan Melayu 62 1,76 20,01549587 170 100
40 M. Amiluddin L
70
57 Swasta Melayu 52 1,62 19,81405274 120
39 Samsil L
55 IRT Melayu 53 1,51 23,24459454 250 140
38 Salmiah P
70
90
51 Tkg. Cuci Melayu 56 1,44 27,00617284 100
80
47 IRT Melayu 58 1,59 22,94213045 100
30 Nelayan Batak 65 1,72 21,97133586 130
56 Lisa P
60
78 Nelayan Melayu 46 1,58 18,42653421 130
55 Masanti L
90
40 IRT Melayu 49 1,51 21,49028551 140
54 Khairini P
78 Nelayan Aceh 57 1,63 21,45357371 180 140
53 Ramli P
60
52 Nurhayani P
70
60
51 IRT Minang 55 1,43 26,89618074 110
51 Nurlida P
80
40 Pedagang Melayu 52 1,45 24,73246136 130
50 Fatmawati P
90
41 IRT Aceh 74 1,56 30,40762656 130
49 Zainab P
53 IRT Karo 57 1,55 23,72528616 190 100
48 Nuraini P
70
76 Bustaman L
56 IRT Jawa 61 1,53 26,05835362 160 100
80 102 Yanuari L
53 Nelayan Jawa 67 1,8 20,67901235 130
48 IRT Melayu 66 1,51 28,94609886 150 100 101 Anhar L
90 100 Rusia P
34 IRT Melayu 69 1,58 27,63980131 160
99 Lusiana P
40 IRT Batak 94 1,67 33,705045 150 100
98 Wahyuni P
97 Rumini P
63 Pensiunan Jawa 60 1,66 21,77384236 130
80
71 Pensiunan Minang 53 1,73 17,70857697 140
96 Ali L
60
71 Kepling Mandailing 54 1,6 21,09375 100
95 Anwar L
90
45 IRT Batak 56 1,52 24,23822715 140
94 Maria P
31 Swasta Nias 76 1,65 27,91551882 190 100 103 H. Kemis L
80 104 Rona P
63 Swasta Batak 78 1,6 30,46875 150
25 IRT Melayu 54 1,59 21,35991456 100
50 IRT Jawa 54 1,61 20,83252961 130
70 114 Selviana P
25 IRT Melayu 54 1,59 21,35991456 100
90 113 Sarita P
65 IRT Karo 63 1,51 27,63036709 160
80 112 Riama P
35 IRT Karo 65 1,54 27,40765728 110
70 111 Lina P
80 110 Sarita P
51 IRT Batak 72 1,55 29,96878252 190 100 105 Nuraeni P
57 Serabutan Mandailing 65 1,63 24,4646016 120
60 109 Zulfikar L
90
38 IRT Batak 45 1,52 19,47714681
80 108 Juliana P
41 Perawat Batak 77 1,66 27,94309769 140
90 107 Doli L
40 IRT Minang 59 1,49 26,57537949 125
48 IRT Aceh 48 1,5 21,33333333 130 100 106 Fitriani P
90
70 93 mangasa L
74 Swasta Mandailing 43 1,6 16,796875 140
80 Admuladi L
83 Morita L
90
58 Pensiunan Batak 98 1,67 35,13930223 140
82 Balawan L
80
55 IRT Jawa 65 1,53 27,76709812 150
81 Sudarsih P
50 Buruh Jawa 67 1,71 22,91303307 200 140
90
80
62 Nelayan Melayu 54 1,59 21,35991456 160
79 Hasanudin L
90
71 Pensiunan Batak 62 1,6 24,21875 140
78 Bil L
70
35 Swasta Jawa 58 1,63 21,8299522 120
77 Saliman L
70
60 Nelayan Batak 54 1,63 20,32443826 130
84 Hasanudin L
42 IRT Batak 55 1,53 23,49523687 120
80 89 iswanto L
92 Pesta P
90
70 IRT Batak 61 1,58 24,43518667 180
91 Bersaria P
90
69 Swasta Batak 70 1,61 27,00513097 150
90 Dedi L
90
43 Nelayan Jawa 68 1,64 25,2825699 140
51 IRT Batak 56 1,55 23,30905307 110
62 Nelayan Melayu 53 1,6 20,703125 165
88 Lamria P
80
46 IRT Jawa 77 1,56 31,64036818 110
87 Sriningsih P
52 IRT Jawa 51 1,47 23,60127725 200 100
86 Sumini P
73 Pensiunan Jawa 58 1,66 21,04804761 160 100
85 Suminten L
85
80
115 Hafni P
90 123 Sasmiah P
60 Pedagang Batak 71 1,67 25,4580659 130
70 128 Bistok L
45 IRT Jawa 55 1,56 22,60026298 120
75 127 Samiah P
47 Nelayan Melayu 64 1,71 21,88707637 130
80 126 Wisman L
51 Nelayan Batak 67 1,68 23,73866213 130
90 125 Turnip L
67 IRT Batak 69 1,58 27,63980131 150
70 124 Maria P
43 Pedagang Minang 45 1,48 20,54419284 120
48 IRT Minang 90 1,64 33,46222487 140
43 IRT Melayu 50 1,64 18,59012493 120
90 122 Maharani P
77 IRT Minang 75 1,57 30,42719786 140
60 IRT Minang 66 1,6 25,78125 180 100 121 Asmaniar P
58 IRT Batak 60 1,6 23,4375 160 100 120 Salmah P
90 119 Haslina P
55 Pengangguran Melayu 67 1,65 24,6097337 140
90 118 Mansyurudin L
68 Pedagang Batak 76 1,7 26,29757785 180
90 117 Irsman L
60 Tkg. Ojek Melayu 57 1,72 19,26717144 150
80 116 Al-Rasyid L
80 Tabel Frekuensi
Crosstabs
Notes
Output Created 11-Dec-2013 08:54:24
Comments Input Data C:\Documents and
Settings\acer\Desktop\KTI\KTI HASIL\DATA\datakuisioner.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data 128 File
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table. Syntax
CROSSTABS /TABLES=JenisKelamin Genetik Merokok kelobesee natriumkel usiakel BY TD /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW /COUNT ROUND CELL.
Resources Processor Time 0:00:00.078 Elapsed Time 0:00:00.094 Dimensions Requested
2 Cells Available 174762
Case Processing Summary
Cases Valid Missing Total
N Percent N Percent N Percent Jenis Kelamin Responden * 128 100.0% .0% 128 100.0% Interpretasi Tekanan Darah Pola Genetik Hipertensi * 128 100.0% .0% 128 100.0% Interpretasi Tekanan Darah Riwayat Merokok * Interpretasi 128 100.0% .0% 128 100.0% Tekanan Darah Kelompok Obese * Interpretasi 128 100.0% .0% 128 100.0% Tekanan Darah Kelompok Kadar Natrium * 128 100.0% .0% 128 100.0% Interpretasi Tekanan Darah Kelompok Usia * Interpretasi 128 100.0% .0% 128 100.0% Tekanan Darah
Jenis Kelamin Responden * Interpretasi Tekanan Darah Crosstab
Interpretasi Tekanan Darah Normal Hipertensi Total
Jenis Kelamin Laki-laki Count
20
28
48 Responden % within Jenis 41.7% 58.3% 100.0% Kelamin Responden
Perempuan Count
44
36
80 % within Jenis 55.0% 45.0% 100.0% Kelamin Responden
Total Count
64 64 128
Crosstab
50.0% 50.0% 100.0%
.201 .101 Linear-by-Linear Association 2.117 1 .146 N of Valid Cases 128 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 24,00.
1.633 1 .201 Likelihood Ratio 2.141 1 .143 Fisher's Exact Test
b
1 .144 Continuity Correction
a
Pearson Chi-Square 2.133
Exact Sig. (2- sided) Exact Sig. (1- sided)
Value df Asymp. Sig. (2- sided)
Chi-Square Tests
64 64 128 % within Jenis Kelamin Responden
Interpretasi Tekanan Darah Total Normal Hipertensi
55.0% 45.0% 100.0% Total Count
80 % within Jenis Kelamin Responden
36
44
41.7% 58.3% 100.0% Perempuan Count
48 % within Jenis Kelamin Responden
28
20
Laki-laki Count
Jenis Kelamin Responden
b. Computed only for a 2x2 table
Pola Genetik Hipertensi * Interpretasi Tekanan Darah Crosstab
Chi-Square Tests
b. Computed only for a 2x2 table
.002 .001 Linear-by-Linear Association 10.135 1 .001 N of Valid Cases 128 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 29,00.
9.111 1 .003 Likelihood Ratio 10.361 1 .001 Fisher's Exact Test
b
1 .001 Continuity Correction
a
Pearson Chi-Square 10.215
Exact Sig. (2- sided) Exact Sig. (1- sided)
Value df Asymp. Sig. (2- sided)
Interpretasi Tekanan Darah Total Normal Hipertensi
Pola Genetik Hipertensi YA Count
64 64 128 % within Pola Genetik Hipertensi
65.5% 34.5% 100.0% Total Count
58 % within Pola Genetik Hipertensi
20
38
37.1% 62.9% 100.0% TIDAK Count
70 % within Pola Genetik Hipertensi
44
26
50.0% 50.0% 100.0%
Riwayat Merokok * Interpretasi Tekanan Darah Crosstab
Interpretasi Tekanan Darah Normal Hipertensi Total
Riwayat Merokok YA Count
22
31
53 % within Riwayat Merokok 41.5% 58.5% 100.0%
TIDAK Count
42
33
75 % within Riwayat Merokok 56.0% 44.0% 100.0%
Total Count
64 64 128 % within Riwayat Merokok 50.0% 50.0% 100.0%
Chi-Square Tests
Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1- Value df sided) sided) sided)
a
Pearson Chi-Square 2.608 1 .106
b
Continuity Correction 2.061 1 .151 Likelihood Ratio 2.618 1 .106 Fisher's Exact Test
.151 .075 Linear-by-Linear Association 2.588 1 .108 N of Valid Cases 128 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 26,50.
b. Computed only for a 2x2 table
Kelompok Obese * Interpretasi Tekanan Darah
Crosstab
Interpretasi Tekanan Darah Normal Hipertensi Total
Kelompok Obese Non-Obese Count
46
34
80 % within Kelompok Obese 57.5% 42.5% 100.0%
Obese Count
18
30
48 % within Kelompok Obese 37.5% 62.5% 100.0%
Total Count
64 64 128 % within Kelompok Obese 50.0% 50.0% 100.0%
Chi-Square Tests
Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1- Value df sided) sided) sided)
a
Pearson Chi-Square 4.800 1 .028
b
Continuity Correction 4.033 1 .045 Likelihood Ratio 4.839 1 .028 Fisher's Exact Test
.044 .022 Linear-by-Linear Association 4.763 1 .029 N of Valid Cases 128 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 24,00.
b. Computed only for a 2x2 table
Kelompok Kadar Natrium * Interpretasi Tekanan Darah
50.0% 50.0% 100.0%
b. Computed only for a 2x2 table
.071 .035 Linear-by-Linear Association 3.913 1 .048 N of Valid Cases 128 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 25,50.
3.259 1 .071 Likelihood Ratio 3.968 1 .046 Fisher's Exact Test
b
1 .047 Continuity Correction
a
Pearson Chi-Square 3.944
Exact Sig. (2- sided) Exact Sig. (1- sided)
Value df Asymp. Sig. (2- sided)
Chi-Square Tests
Crosstab
Interpretasi Tekanan Darah Total Normal Hipertensi
42.9% 57.1% 100.0% Total Count
77 % within Kelompok Kadar Natrium
44
33
60.8% 39.2% 100.0% Berisiko Count
51 % within Kelompok Kadar Natrium
20
31
Count
Tidak Berisiko
Kelompok Kadar Natrium
64 64 128 % within Kelompok Kadar Natrium
Kelompok Usia * Interpretasi Tekanan Darah
Crosstab
Interpretasi Tekanan Darah Normal Hipertensi Total
Kelompok Usia < 40 tahun Count
17
8
25 % within Kelompok Usia 68.0% 32.0% 100.0%
> 40 tahun Count
47 56 103 % within Kelompok Usia 45.6% 54.4% 100.0%
Total Count
64 64 128 % within Kelompok Usia 50.0% 50.0% 100.0%
Chi-Square Tests
Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1- Value df sided) sided) sided)
a
Pearson Chi-Square 4.026 1 .045
b
Continuity Correction 3.181 1 .074 Likelihood Ratio 4.101 1 .043 Fisher's Exact Test
.073 .037 Linear-by-Linear Association 3.995 1 .046 N of Valid Cases 128 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 12,50.
b. Computed only for a 2x2 table
Logistic Regression
Notes
Output Created 23-Dec-2013 21:08:12
Comments Input Data C:\Documents and
Settings\acer\Desktop\KTI\KTI HASIL\DATA\datakuisioner.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data 128 File
Missing Value Handling Definition of Missing User-defined missing values are treated as missing Syntax
LOGISTIC REGRESSION VARIABLES TD /METHOD=BSTEP(LR) Genetik Merokok kelobesee natriumkel usiakel JenisKelamin /CONTRAST (JenisKelamin)=Indicator /CONTRAST (Merokok)=Indicator /CONTRAST (Genetik)=Indicator /CONTRAST (usiakel)=Indicator /CONTRAST (kelobesee)=Indicator /CONTRAST (natriumkel)=Indicator /SAVE=PRED /PRINT=GOODFIT CI(95) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Resources Processor Time 0:00:00.578 Elapsed Time 0:00:01.235
Notes
Output Created 23-Dec-2013 21:08:12
Comments Input Data C:\Documents and
Settings\acer\Desktop\KTI\KTI HASIL\DATA\datakuisioner.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data 128 File
Missing Value Handling Definition of Missing User-defined missing values are treated as missing Syntax
LOGISTIC REGRESSION VARIABLES TD /METHOD=BSTEP(LR) Genetik Merokok kelobesee natriumkel usiakel JenisKelamin /CONTRAST (JenisKelamin)=Indicator /CONTRAST (Merokok)=Indicator /CONTRAST (Genetik)=Indicator /CONTRAST (usiakel)=Indicator /CONTRAST (kelobesee)=Indicator /CONTRAST (natriumkel)=Indicator /SAVE=PRED /PRINT=GOODFIT CI(95) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Resources Processor Time 0:00:00.578 Elapsed Time 0:00:01.235
Variables Created or Modified PRE_1 Predicted probability
Case Processing Summary
1 Categorical Variables Codings Frequency
Kelompok Usia < 40 tahun 25 1.000 > 40 tahun 103 .000
Kelompok Kadar Natrium Tidak Berisiko 51 1.000 Berisiko 77 .000
Kelompok Obese Non-Obese 80 1.000 Obese 48 .000
Riwayat Merokok YA 53 1.000 TIDAK 75 .000
Jenis Kelamin Responden Laki-laki 48 1.000 Perempuan 80 .000
Parameter coding (1)
Original Value Internal Value Normal Hipertensi
Unweighted Cases
Dependent Variable Encoding
a. If weight is in effect, see classification table for the total number of cases.
Total 128 100.0
Unselected Cases .0
Missing Cases .0 Total 128 100.0
N Percent Selected Cases Included in Analysis 128 100.0
a
Pola Genetik Hipertensi YA 70 1.000 TIDAK 58 .000
Classification Table
a,bObserved Predicted
Interpretasi Tekanan Darah Percentage
Correct Normal Hipertensi Step 0 Interpretasi Tekanan
Darah Normal 64 .0 Hipertensi 64 100.0
Overall Percentage 50.0 a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B S.E. Wald df Sig. Exp(B) Step 0 Constant .000 .177 .000 1 1.000 1.000
Variables not in the Equation Score df Sig.
Step 0 Variables Genetik(1) 10.215 1 .001 Merokok(1) 2.608 1 .106 kelobesee(1) 4.800
1 .028 natriumkel(1) 3.944 1 .047 usiakel(1) 4.026 1 .045
JenisKelamin(1) 2.133 1 .144 Overall Statistics 24.711 6 .000
Omnibus Tests of Model Coefficients Chi-square df Sig.
Step 1 Step 26.900 6 .000 Block 26.900 6 .000 Model 26.900 6 .000
a
Step 2 Step -.634 1 .426 Block 26.265 5 .000 Model 26.265 5 .000
a
Step 3 Step -2.031 1 .154 Block 24.235 4 .000 Model 24.235 4 .000
a. A negative Chi-squares value indicates that the Chi-squares value has decreased from the previous step.
Model Summary
Cox & Snell R Nagelkerke R Step -2 Log likelihood Square Square
a
1 150.546 .190 .253
a
2 151.180 .186 .247
a
3 153.211 .172 .230
a. Estimation terminated at iteration number 4 because parameter estimates changed by less than ,001.
Hosmer and Lemeshow Test Step Chi-square df Sig.
1 4.783 8 .781 2 8.571 7 .285 3 6.900 8 .547
Contingency Table for Hosmer and Lemeshow Test
1 7 6.836 1 1.164
10
5 6 8.033 9 6.967
15
6 6 6.304 9 8.696
15
7 4 5.503 12 10.497
16
8 5 3.594 10 11.406
15
9 4 2.506 10 11.494
14 Step 3
8
15
2 12 11.637 3 3.363
15
3 9 7.619 2 3.381
11
4 11 10.391 6 6.609
17
5 4 7.136 9 5.864
13
6 6 7.866 11 9.134
17
7 4 3.279 5 5.721
4 3 5.671 7 4.329
3 12 10.014 3 4.986
Interpretasi Tekanan Darah = Normal Interpretasi Tekanan Darah =
14
Hipertensi Total Observed Expected Observed Expected
Step 1
1 11 11.163 2 1.837
13
2 11 9.152 1 2.848
12
3 8 8.855 5 4.145
13
4 9 8.576 5 5.424
14
5 6 7.530 8 6.470
6 6 6.968 10 9.032
14
16
7 3 3.769 8 7.231
11
8 2 2.441 6 5.559
8
9 5 3.151 8 9.849
13
10 3 2.395 11 11.605
14 Step 2
1 12 11.931 2 2.069
14
2 12 10.444 2 3.556
9
8 4 4.500 12 11.500
16
9 6 3.800 9 11.200
15
10 1 .935 6 6.065
7
a
Classification TablePredicted Interpretasi Tekanan
Darah Percentage
Observed Normal Hipertensi Correct Step 1 Interpretasi Tekanan Normal
45
19
70.3 Darah Hipertensi
21
43
67.2 Overall Percentage
68.8 Step 2 Interpretasi Tekanan Normal
45
19
70.3 Darah Hipertensi
23
41
64.1 Overall Percentage
67.2 Step 3 Interpretasi Tekanan Normal
42
22
65.6 Darah Hipertensi
18
46
71.9 Overall Percentage
68.8
a. The cut value is ,500
Variables in the Equation
95% C.I.for EXP(B) B S.E. Wald df Sig. Exp(B) Lower Upper
a
Step 1 Genetik(1) 1.421 .413 11.827 1 .001 4.142 1.843 9.312 Merokok(1) .623 .499 1.558 1 .212 1.864 .701 4.957 kelobesee(1) -.798 .435 3.363 1 .067 .450 .192 1.056 natriumkel(1) -.564 .429 1.728 1 .189 .569 .245 1.319 usiakel(1) -.962 .530 3.295 1 .069 .382 .135 1.080
JenisKelamin(1) .408 .513 .632 1 .427 1.504 .550 4.112 Constant -.286 .459 .388 1 .533 .751
Step 2
a
Genetik(1) 1.391 .409 11.551 1 .001 4.018 1.802 8.959 Merokok(1) .841 .419 4.034 1 .045 2.318 1.021 5.266 kelobesee(1) -.747 .429 3.033 1 .082 .474 .204 1.098 natriumkel(1) -.603 .425 2.013 1 .156 .547 .238 1.259 usiakel(1) -1.022 .525 3.782 1 .052 .360 .128 1.008 Constant -.211 .448 .222 1 .638 .810
Step 3
a
Genetik(1) 1.391 .406 11.728 1 .001 4.018 1.813 8.906 Merokok(1) .789 .413 3.656 1 .056 2.201 .980 4.940 kelobesee(1) -.931 .409 5.190 1 .023 .394 .177 .878 usiakel(1) -1.025 .519 3.896 1 .048 .359 .130 .993 Constant -.310 .440 .496 1 .481 .733 a. Variable(s) entered on step 1: Genetik, Merokok, kelobesee, natriumkel, usiakel, JenisKelamin.
Model if Term Removed
Variable Model Log
Likelihood Change in -2 Log
Likelihood df Sig. of the
Change Step 1 Genetik -81.708 12.870 1 .000
Merokok -76.060 1.574 1 .210 kelobesee -76.990 3.434 1 .064 natriumkel -76.143 1.739 1 .187 usiakel -77.008 3.470 1 .063
JenisKelamin -75.590 .634 1 .426 Step 2 Genetik -81.838 12.497 1 .000
Merokok -77.687 4.195 1 .041 kelobesee -77.134 3.088 1 .079 natriumkel -76.606 2.031 1 .154 usiakel -77.591 4.001 1 .045
Step 3 Genetik -82.954 12.698 1 .000
Merokok -78.495 3.780 1 .052 kelobesee -79.297 5.383 1 .020 usiakel -78.670 4.129 1 .042
Variables not in the Equation Score df Sig.
Step 2
a
Variables JenisKelamin(1) .635 1 .425 Overall Statistics .635 1 .425
Step 3
b
Variables natriumkel(1) 2.036 1 .154 JenisKelamin(1) .928 1 .335
Overall Statistics 2.666 2 .264 a. Variable(s) removed on step 2: JenisKelamin.
b. Variable(s) removed on step 3: natriumkel.