Deteksi Rotavirus dan Karakterisasi Gen Nonstruktural NSP4 Rotavirus Sebagai Enterotoksin Virus Yang Menginduksi Terjadinya Invaginasi Pada Anak
Lampiran 1 : Informed Consent
LEMBARAN PENJELASAN KEPADA ORANG TUA ATAU WALI CALON SUBYEK
PENELITIAN
Ibu Yth,
Saya dr. Iqbal Pahlevi Adeputra Nasution, SpBA dari Fakultas Kedokteran USU akan
melakukan penelitian dengan judul: “Karakterisasi Protein Nonstruktural NSP4 Rotavirus
Sebagai Enterotoxin Virus Yang Menginduksi Terjadinya Invaginasi Pada Anak”.
Penelitian ini mengenai untuk mencari penyebab terjadinya invaginasi sehubungan dengan
keluhan yang dialami anak ibu saat ini.Penelitian ini bertujuan untuk mengetahui adanya
infeksi rotavirus dan berbagai risiko yang mungkin berhubungan dengan terjadinya penyakit
invaginasi.
Ibu Yth, manfaat yang akan ibu peroleh dari penelitian ini adalah dengan adanya hasil dari
penelitian ini maka dapat menjawab pertanyaan dari setiap orang tua yang anaknya
mengalami penyakit invaginasi seperti yang dialami anak ibu saat ini dan juga dapat segera
dapat diambil langkah-langkah
pencegahan agar tidak terjadi lagi anak yang terkena
invaginasi dan mencegah terjadinya komplikasi yang dapat ditimbulkan oleh penyakit
invaginasi seperti kerusakan maupun kebocoran dari usus yang mengalami invaginasi.
Untuk itu saya akan mencatat identitas anak ibu (nomor urut penelitian, tanggal
berobat, nomor rekam medis, nama anak ibu, umur, jenis kelamin, suku, status gizi, alamat),
mewawancarai ibu tentang gejala dan tanda yang ditimbulkan penyakit anak ibu. Selanjutnya
saya akan melakukan pemeriksaan laboratorium dengan mengambil sampel darah dan
feces/tinja dari anak ibu. Pengambilan sampel ini tidak akan menimbulkan risiko pada anak
ibu. Bila terjadi masalah/efek samping dari pemeriksaan laboratorium tersebut maka saya
Universitas Sumatera Utara
akan bertanggung jawab untuk memberikan pengobatan, penjelasan dan membantu untuk
mengatasi masalah/efek samping tersebut.
Ibu Yth, partisipasi dari ibu dan anak ibu bersifat sukarela, semua
biaya penelitian ini tidak dibebankan kepada ibu. Tidak akan terjadi
perubahan mutu pelayanan dari dokter, apabila ibu tidak bersedia mengikuti
penelitian ini anak ibu akan tetap mendapatkan pelayanan kesehatan sesuai
dengan standar prosedur pelayanan.
Bila ibu masih belum jelas menyangkut tentang penelitian ini, maka setiap saat dapat
ditanyakan langsung kepada saya atau ibu dapat menghubungi saya melalui HP (
081328272121 ) atau di Departemen Ilmu Bedah FK-USU RSUP Haji Adam Malik Medan
jam 08.00 – 14.00 wib setiap hari kerja.
Ibu Yth, pada penelitian ini identitas ibu dan anak ibu akan dirahasiakan, hanya
dokter peneliti, anggota penelitian dan anggota komite etik yang bisa melihat data ibu
ataupun anak ibu.
Bila penelitian ini dipublikasikan kerahasiaan data ibu akan tetap dijaga. Setelah ibu
memahami berbagai hal yang menyangkut penelitian ini, diharapkan ibu yang anaknya telah
terpilih pada penelitian ini dapat mengisi dan menandatangani lembaran persetujuan
penelitian.
Medan,
Peneliti
(
dr.Iqbal
Pahlevi
Adeputra
Nasution,SpBA
Universitas Sumatera Utara
)
LEMBARAN PERSETUJUAN SETELAH PENJELASAN (INFORMED CONSENT)
Saya yang bertanda tangan dibawah ini :
Nama
:
Umur
:
Jenis Kelamin :
Alamat
:
Adalah benar orang tua dari :
Nama
:
Umur
:
Jenis Kelamin :
Alamat
:
No MR
:
Setelah saya mendapat penjelasan tentang penelitian ini, saya
memahaminya dan menyatakan bersedia dengan penuh kesadaran dan
tanpa paksaan dari pihak manapun, maka dengan ini saya menyatakan
bersedia untuk mengikut sertakan anak saya yang namanya seperti tersebut
di atas didalam penelitian ini.
Apabila dikemudian hari anak saya mengundurkan diri dari penelitian
ini, maka saya sebagai orang tuanya tidak akan dituntut apapun.
Demikianlah surat pernyataan ini saya buat, agar dapat dipergunakan
bila diperlukan.
Universitas Sumatera Utara
Medan,2013
Peserta Penelitian
(...............................................)
Universitas Sumatera Utara
Lampiran 2 : Surat Izin Penelitian ke Laboratorium Terpadu FK USU
Universitas Sumatera Utara
Lampiran 3 : Surat Keterangan Telah Melaksanakan Penelitian di Laboratorium Terpadu FK USU
Lampiran 4: Persetujuan Komite Etik
Universitas Sumatera Utara
Lampiran 5: Keluaran Program Pengolahan Data Statistik
Universitas Sumatera Utara
OUTPUT ANALISIS
HASIL ANALISIS UNIVARIAT
Frequency Table
jk
ency
ent
Percent
tive Percent
38
69,1
69,1
69,1
17
30,9
30,9
100,0
55
100,0
100,0
Descriptives
stic
Error
6,60
e Interval for Mean
,590
5,42
7,78
ean
6,07
6,00
19,133
4,374
2
25
23
nge
4
2,259
,322
Universitas Sumatera Utara
6,239
,634
status_gizi
ency
ent
Percent
tive Percent
9
16,4
16,4
16,4
28
50,9
50,9
67,3
18
32,7
32,7
100,0
55
100,0
100,0
suku
ency
ent
Percent
tive Percent
22
40,0
40,0
40,0
15
27,3
27,3
67,3
7
12,7
12,7
80,0
7
12,7
12,7
92,7
4
7,3
7,3
100,0
55
100,0
100,0
katRotavirus
Universitas Sumatera Utara
ency
ent
Percent
tive Percent
28
50,9
50,9
50,9
27
49,1
49,1
100,0
55
100,0
100,0
katNSP4
ency
ent
Percent
tive Percent
8
14,5
14,5
14,5
47
85,5
85,5
100,0
55
100,0
100,0
riwayat_diare
ency
ent
Percent
tive Percent
11
20,0
20,0
20,0
29
52,7
52,7
72,7
Universitas Sumatera Utara
3
5,5
5,5
78,2
12
21,8
21,8
100,0
55
100,0
100,0
Percent
tive Percent
invaginasi
ency
ent
35
63,6
63,6
63,6
20
36,4
36,4
100,0
55
100,0
100,0
tipe_invaginasi
ency
ent
Percent
tive Percent
3
5,5
8,6
8,6
21
38,2
60,0
68,6
6
10,9
17,1
85,7
5
9,1
14,3
100,0
35
63,6
100,0
20
36,4
55
100,0
Universitas Sumatera Utara
HASIL ANALISIS BIVARIAT
Crosstabs
Notes
25-JAN-2015 22:47:50
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
Universitas Sumatera Utara
orking Data File
Handling
55
sing
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
tRotavirus BY invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW COLUMN
UND CELL.
00:00:00,00
00:00:00,02
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
nvaginasi
55
Total
ent
100,0%
0
ent
0,0%
55
100,0%
katRotavirus * invaginasi Crosstabulation
Universitas Sumatera Utara
invaginasi
inasi
re
tal
23
5
28
17,8
10,2
28,0
tavirus
82,1%
17,9%
100,0%
asi
65,7%
25,0%
50,9%
12
15
27
17,2
9,8
27,0
tavirus
44,4%
55,6%
100,0%
asi
34,3%
75,0%
49,1%
35
20
55
35,0
20,0
55,0
tavirus
63,6%
36,4%
100,0%
asi
100,0%
100,0%
100,0%
t
t
t
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,004
6,891
1
,009
8,731
1
,003
8,442
b
Sig. (2-sided)
est
r Association
s
Sig. (1-sided)
,005
8,288
1
,004
,004
55
) have expected count less than 5. The minimum expected count is 9,82.
Universitas Sumatera Utara
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
er
Upper
katRotavirus (A / -)
5,750
1,682
19,661
ginasi = invaginasi
1,848
1,172
2,915
,321
,136
,762
ginasi = diare
s
55
Crosstabs
Notes
26-JAN-2015 16:07:44
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
Universitas Sumatera Utara
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
atgizi katsuku BY invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW
UND CELL.
00:00:00,00
00:00:00,06
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
Total
ent
ent
55
100,0%
0
0,0%
55
100,0%
asi
55
100,0%
0
0,0%
55
100,0%
inasi
55
100,0%
0
0,0%
55
100,0%
jk * invaginasi
Universitas Sumatera Utara
Crosstab
invaginasi
inasi
re
tal
25
13
38
24,2
13,8
38,0
65,8%
34,2%
100,0%
10
7
17
10,8
6,2
17,0
58,8%
41,2%
100,0%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
t
t
t
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,620
,037
1
,847
,244
1
,621
,246
b
Sig. (2-sided)
est
Sig. (1-sided)
,763
s
,420
55
) have expected count less than 5. The minimum expected count is 6,18.
ly for a 2x2 table
Risk Estimate
Universitas Sumatera Utara
Confidence Interval
e
er
Upper
jk (Laki-Laki / Perempuan)
1,346
,415
4,362
ginasi = invaginasi
1,118
,707
1,770
,831
,405
1,705
ginasi = diare
s
55
katgizi * invaginasi
Crosstab
invaginasi
inasi
t
gizi baik
t
re
tal
15
3
18
11,5
6,5
18,0
83,3%
16,7%
100,0%
20
17
37
23,5
13,5
37,0
54,1%
45,9%
100,0%
35
20
55
Universitas Sumatera Utara
t
35,0
20,0
55,0
63,6%
36,4%
100,0%
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,034
3,310
1
,069
4,833
1
,028
4,486
b
Sig. (2-sided)
est
Sig. (1-sided)
,041
r Association
4,404
s
1
,032
,036
55
) have expected count less than 5. The minimum expected count is 6,55.
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
r katgizi (gizi lebih / Gizi kurang
dan gizi baik)
ginasi = invaginasi
ginasi = diare
s
er
Upper
4,250
1,050
17,202
1,542
1,074
2,214
,363
,122
1,079
55
Universitas Sumatera Utara
katsuku * invaginasi
Crosstab
invaginasi
inasi
re
t
u
t
u
t
u
tal
16
6
22
14,0
8,0
22,0
72,7%
27,3%
100,0%
19
14
33
21,0
12,0
33,0
57,6%
42,4%
100,0%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,252
,737
1
,391
1,334
1
,248
1,310
b
Sig. (2-sided)
est
r Association
Sig. (1-sided)
,391
1,286
1
,196
,257
Universitas Sumatera Utara
s
55
) have expected count less than 5. The minimum expected count is 8,00.
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
er
Upper
katsuku (Batak / Bukan Batak)
1,965
,613
6,298
ginasi = invaginasi
1,263
,856
1,864
,643
,292
1,416
ginasi = diare
s
55
Descriptives
Bootstrap
a
Confidence Interval
tic
Error
6,74
e Interval for Mean
,851
r
r
,00
,85
Upper
5,30
8,55
5,01
8,47
Universitas Sumatera Utara
ean
6,11
,10
,81
4,92
7,98
5,00
,38
,57
4,00
6,00
25,373
-,970 10,559
6,827
47,609
5,037
-,221 1,097
2,613
6,900
2
25
23
nge
e Interval for Mean
3
1
2
2
7
2,212
,398
-,162
,584
1,061
3,393
5,172
,778
-,455 3,556
,257
13,947
6,35
,666
,00
,66
5,13
7,67
6,11
,09
,64
5,03
7,55
6,00
,04
,81
4,00
8,00
8,871
-,483 3,740
2,989
16,779
2,978
-,154
,641
1,729
4,096
0
1
2
6
-,381
,681
-,479
1,961
4,96
7,74
ean
2
15
13
nge
4
1,176
,512
Universitas Sumatera Utara
e Interval for Mean
2,486
,992
79,03
,737
-1,348 1,979
-1,473
5,777
,00
,75
77,58
80,58
79,06
-,03
,78
77,55
80,62
78,00
,49
1,06
76,50
81,97
-,503 3,776
12,071
26,705
77,53
80,53
ean
19,029
4,362
-,080
,439
3,474
5,168
0
1
4
9
70
88
18
nge
e Interval for Mean
6
,131
,398
,011
,295
-,444
,743
-,505
,778
,001
,460
-1,273
,519
56,55
1,398
,03
1,37
53,92
59,29
56,72
-,05
1,41
53,97
59,44
56,50
,13
1,90
53,50
60,00
-2,067 11,621
16,849
62,628
4,105
7,914
53,62
59,48
ean
39,103
6,253
-,244
,960
42
Universitas Sumatera Utara
68
26
nge
10
-1
2
5
13
-,324
,512
,107
,483
-1,085
,758
,234
,992
-,267
,893
-1,377
1,990
rwise noted, bootstrap results are based on 1000 bootstrap samples
Bootstrap
Notes
26-JAN-2015 16:21:33
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
Universitas Sumatera Utara
orking Data File
55
ETHOD=SIMPLE
ES TARGET=usia Neutrofil INPUT=invaginasi
CILEVEL=95
CITYPE=PERCENTILE
NSAMPLES=1000
USERMISSING=EXCLUDE.
00:00:00,03
00:00:00,03
Bootstrap Specifications
od
ples
rval Level
1000
95,0%
rval Type
Universitas Sumatera Utara
T-Test
Notes
26-JAN-2015 16:21:34
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
34994
issing values are treated as missing.
ch analysis are based on the cases with no
missing
or
out-of-range
data
for
any
variable in the analysis.
UPS=invaginasi(1 2)
=ANALYSIS
ES=usia Neutrofil
ERIA=CI(.95).
00:00:03,93
00:00:04,88
Universitas Sumatera Utara
Group Statistics
Bootstrap
a
Confidence Interval
tistic
as
Error
wer
Upper
35
6,74
-,04
,82
5,21
8,37
5,037
-,223
1,073
2,632
6,796
,851
Universitas Sumatera Utara
20
6,35
,01
,67
5,14
7,76
2,978
-,123
,637
1,744
4,043
79,03
,00
,71
77,70
80,41
4,362
-,080
,438
3,454
5,126
56,55
,00
1,38
53,80
59,20
6,253
-,277
,958
4,033
7,914
,666
35
,737
20
1,398
rwise noted, bootstrap results are based on 1000 bootstrap samples
Independent Samples Test
est for Equality of
Variances
t-test for Equality of Means
nce Interval of the
Difference
.
assumed
1,585
not assumed
assumed
not assumed
2,817
iled)
,214
rence
r Difference
r
r
,318
53
,752
,393
1,236
-2,087
2,873
,363
52,898
,718
,393
1,081
-1,775
2,561
,099 15,660
53
,000
22,479
1,435
19,599
25,358
14,220
29,750
,000
22,479
1,581
19,249
25,708
Universitas Sumatera Utara
Bootstrap for Independent Samples Test
Bootstrap
a
Confidence Interval
fference
Error
-tailed)
wer
Upper
assumed
,393
-,050
1,070
-1,785
2,482
not assumed
,393
-,050
1,070
-1,785
2,482
assumed
22,479
-,002
1,530
,001
19,453
25,567
not assumed
22,479
-,002
1,530
,001
19,453
25,567
rwise noted, bootstrap results are based on 1000 bootstrap samples
Crosstabs
Notes
26-JAN-2015 16:39:23
Universitas Sumatera Utara
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
55
sing
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
tNSP4 BY invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW
UND CELL.
00:00:00,02
00:00:00,02
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
ginasi
55
Total
ent
100,0%
0
ent
0,0%
55
100,0%
Universitas Sumatera Utara
katNSP4 * invaginasi Crosstabulation
invaginasi
inasi
t
tNSP4
t
tNSP4
t
tNSP4
re
tal
5
3
8
5,1
2,9
8,0
62,5%
37,5%
100,0%
30
17
47
29,9
17,1
47,0
63,8%
36,2%
100,0%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,942
,000
1
1,000
,005
b
Sig. (2-sided)
Sig. (1-sided)
Universitas Sumatera Utara
,005
1
,942
est
1,000
r Association
,005
s
1
,617
,943
55
) have expected count less than 5. The minimum expected count is 2,91.
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
er
Upper
katNSP4 (+ / -)
,944
,200
4,450
ginasi = invaginasi
,979
,549
1,746
1,037
,392
2,740
ginasi = diare
s
55
Logistic Regression
Notes
Universitas Sumatera Utara
26-JAN-2015 16:53:31
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing
RESSION VARIABLES invaginasiRL
D=ENTER
jk
katgizi
katsuku
katRotavirus
katNSP4 Neutrofil
(katRotavirus)=Indicator
(katgizi)=Indicator
(jk)=Indicator
(katsuku)=Indicator
(katNSP4)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,02
00:00:00,06
Warnings
Universitas Sumatera Utara
nd: LOGISTIC REGRESSION
cannot use string variables longer than 8 bytes. The values will be truncated.
Case Processing Summary
ses
a
ent
lysis
55
100,0
0
,0
55
100,0
0
,0
55
100,0
es
effect, see classification table for the total number of cases.
Dependent Variable Encoding
al Value
0
1
Categorical Variables Codings
eter coding
uency
gizi baik
(1)
8
1,000
47
,000
18
1,000
37
,000
22
1,000
33
,000
Universitas Sumatera Utara
28
1,000
27
,000
38
1,000
17
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
inasi
tage Correct
0
20
,0
0
35
100,0
tage
63,6
cluded in the model.
is ,500
Variables in the Equation
S.E.
,560
ld
,280
df
.
3,986
1
(B)
,046
1,750
Universitas Sumatera Utara
Variables not in the Equation
re
s
df
.
,246
1
,620
4,486
1
,034
1,310
1
,252
8,442
1
,004
,005
1
,942
45,225
1
,000
45,952
6
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
6
,000
72,103
6
,000
72,103
6
,000
Model Summary
likelihood
ell R Square
,000
a
rke R Square
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Universitas Sumatera Utara
Predicted
invaginasiRL
re
inasi
tage Correct
20
0
100,0
0
35
100,0
tage
100,0
is ,500
Variables in the Equation
C.I.for EXP(B)
S.E.
(B)
er
-18,026
10478,749
,000
1
,999
,000
,000
.
10,328
20725,317
,000
1
1,000
30576,024
,000
.
-4,274
8710,312
,000
1
1,000
,014
,000
.
12,404
22018,134
,000
1
1,000
243825,711
,000
.
-45,536
71749,105
,000
1
,999
,000
,000
.
5,444
699,549
,000
1
,994
231,431
,000
.
-368,071
50717,488
,000
1
,994
,000
ntered on step 1: jk, katgizi, katsuku, katRotavirus, katNSP4, Neutrofil.
Universitas Sumatera Utara
Logistic Regression
Notes
26-JAN-2015 16:58:47
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
Universitas Sumatera Utara
orking Data File
Handling
55
sing
issing values are treated as missing
RESSION VARIABLES invaginasiRL
D=ENTER jk katsuku katRotavirus katNSP4
Neutrofil
(katRotavirus)=Indicator
(jk)=Indicator
(katsuku)=Indicator
(katNSP4)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,00
00:00:00,00
Warnings
nd: LOGISTIC REGRESSION
cannot use string variables longer than 8 bytes. The values will be truncated.
Case Processing Summary
ses
a
ent
lysis
es
55
100,0
0
,0
55
100,0
0
,0
55
100,0
Universitas Sumatera Utara
effect, see classification table for the total number of cases.
Dependent Variable Encoding
rnal Value
0
1
Categorical Variables Codings
eter coding
uency
(1)
8
1,000
47
,000
22
1,000
33
,000
28
1,000
27
,000
38
1,000
17
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
inasi
tage Correct
Universitas Sumatera Utara
0
20
,0
0
35
100,0
tage
63,6
cluded in the model.
is ,500
Variables in the Equation
S.E.
ld
,560
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
df
.
,246
1
,620
1,310
1
,252
Universitas Sumatera Utara
s
8,442
1
,004
,005
1
,942
45,225
1
,000
45,905
5
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
5
,000
72,103
5
,000
72,103
5
,000
Model Summary
likelihood
Snell R Square
,000
a
rke R Square
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Predicted
invaginasiRL
re
tage
inasi
tage Correct
20
0
100,0
0
35
100,0
100,0
is ,500
Universitas Sumatera Utara
Variables in the Equation
C.I.for EXP(B)
S.E.
xp(B)
er
-19,204
18072,233
,000
1
,999
,000
,000
.
-2,596
12003,147
,000
1
1,000
,075
,000
.
22,731
7366,998
,000
1
,998
7447344902,422
,000
.
-54,991
75068,884
,000
1
,999
,000
,000
.
5,399
652,421
,000
1
,993
221,219
,000
.
-363,738
49654,064
,000
1
,994
,000
ntered on step 1: jk, katsuku, katRotavirus, katNSP4, Neutrofil.
Logistic Regression
Notes
26-JAN-2015 17:01:37
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing
Universitas Sumatera Utara
RESSION VARIABLES invaginasiRL
D=ENTER jk katRotavirus katNSP4 Neutrofil
(katRotavirus)=Indicator
(jk)=Indicator
(katNSP4)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,02
00:00:00,02
Warnings
nd: LOGISTIC REGRESSION
cannot use string variables longer than 8 bytes. The values will be truncated.
Case Processing Summary
ses
a
ent
lysis
es
55
100,0
0
,0
55
100,0
0
,0
Universitas Sumatera Utara
55
100,0
effect, see classification table for the total number of cases.
Dependent Variable Encoding
rnal Value
0
1
Categorical Variables Codings
eter coding
uency
(1)
8
1,000
47
,000
28
1,000
27
,000
38
1,000
17
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
tage
inasi
tage Correct
0
20
,0
0
35
100,0
63,6
Universitas Sumatera Utara
cluded in the model.
is ,500
Variables in the Equation
S.E.
ld
,560
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
s
df
.
,246
1
,620
8,442
1
,004
,005
1
,942
45,225
1
,000
45,890
4
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
4
,000
72,103
4
,000
72,103
4
,000
Model Summary
likelihood
Snell R Square
rke R Square
Universitas Sumatera Utara
,000
a
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Predicted
invaginasiRL
re
inasi
tage Correct
20
0
100,0
0
35
100,0
tage
100,0
is ,500
Variables in the Equation
C.I.for EXP(B)
S.E.
xp(B)
er
er
-19,088
16719,617
,000
1
,999
,000
,000
.
22,765
7422,369
,000
1
,998
7707498328,265
,000
.
-57,315
76904,938
,000
1
,999
,000
,000
.
5,386
637,685
,000
1
,993
218,332
,000
.
-362,950
48139,517
,000
1
,994
,000
ntered on step 1: jk, katRotavirus, katNSP4, Neutrofil.
Universitas Sumatera Utara
Logistic Regression
Notes
26-JAN-2015 17:03:59
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
55
sing
issing values are treated as missing
RESSION VARIABLES invaginasiRL
D=ENTER katRotavirus katNSP4 Neutrofil
(katRotavirus)=Indicator
(katNSP4)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,02
00:00:00,02
Case Processing Summary
ses
a
ent
lysis
55
100,0
Universitas Sumatera Utara
0
,0
55
100,0
0
,0
55
100,0
es
effect, see classification table for the total number of cases.
Dependent Variable Encoding
al Value
0
1
Categorical Variables Codings
eter coding
uency
(1)
8
1,000
47
,000
28
1,000
27
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
inasi
tage Correct
0
20
,0
0
35
100,0
Universitas Sumatera Utara
tage
63,6
cluded in the model.
is ,500
Variables in the Equation
S.E.
ld
,560
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
s
df
.
8,442
1
,004
,005
1
,942
45,225
1
,000
45,869
3
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
3
,000
72,103
3
,000
72,103
3
,000
Universitas Sumatera Utara
Model Summary
likelihood
ell R Square
,000
a
rke R Square
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Predicted
invaginasiRL
re
inasi
tage Correct
20
0
100,0
0
35
100,0
tage
100,0
is ,500
Variables in the Equation
C.I.for EXP(B)
S.E.
(B)
er
er
12,952
7500,185
,000
1
,999
421533,407
,000
.
-74,703
64874,466
,000
1
,999
,000
,000
.
9,878
778,607
,000
1
,990
19490,883
,000
.
-686,572
54208,833
,000
1
,990
,000
ntered on step 1: katRotavirus, katNSP4, Neutrofil.
Logistic Regression
Notes
Universitas Sumatera Utara
26-JAN-2015 17:06:28
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
55
sing
issing values are treated as missing
RESSION VARIABLES invaginasiRL
D=ENTER katRotavirus Neutrofil
(katRotavirus)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,00
00:00:00,00
Case Processing Summary
ses
a
ent
lysis
es
55
100,0
0
,0
55
100,0
0
,0
55
100,0
Universitas Sumatera Utara
effect, see classification table for the total number of cases.
Dependent Variable Encoding
al Value
0
1
Categorical Variables Codings
eter coding
uency
(1)
28
1,000
27
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
tage
inasi
tage Correct
0
20
,0
0
35
100,0
63,6
cluded in the model.
is ,500
Universitas Sumatera Utara
Variables in the Equation
S.E.
ld
,560
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
s
df
.
8,442
1
,004
45,225
1
,000
45,281
2
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
2
,000
72,103
2
,000
72,103
2
,000
Model Summary
likelihood
ell R Square
rke R Square
Universitas Sumatera Utara
,000
a
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Predicted
invaginasiRL
re
inasi
tage Correct
20
0
100,0
0
35
100,0
tage
100,0
is ,500
Variables in the Equation
C.I.for EXP(B)
S.E.
(B)
er
er
12,881
7320,391
,000
1
,999
392937,721
,000
.
9,864
770,179
,000
1
,990
19230,195
,000
.
-685,608
53590,673
,000
1
,990
,000
ntered on step 1: katRotavirus, Neutrofil.
Universitas Sumatera Utara
Logistic Regression
Notes
26-JAN-2015 17:07:55
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing
Universitas Sumatera Utara
RESSION VARIABLES invaginasiRL
D=ENTER katRotavirus
(katRotavirus)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,00
00:00:00,00
Case Processing Summary
a
ses
ent
lysis
es
55
100,0
0
,0
55
100,0
0
,0
55
100,0
effect, see classification table for the total number of cases.
Dependent Variable Encoding
al Value
0
1
Categorical Variables Codings
ency
eter coding
Universitas Sumatera Utara
(1)
28
1,000
27
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
inasi
tage Correct
0
20
,0
0
35
100,0
tage
63,6
cluded in the model.
is ,500
Variables in the Equation
S.E.
,560
ld
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
s
df
.
8,442
1
,004
8,442
1
,004
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Universitas Sumatera Utara
quare
df
.
8,731
1
,003
8,731
1
,003
8,731
1
,003
Model Summary
likelihood
ell R Square
63,372
a
rke R Square
,147
,201
terminated at iteration number 4 because parameter estimates
changed by less than ,001.
Classification Table
a
Predicted
invaginasiRL
re
inasi
tage Correct
15
5
75,0
12
23
65,7
tage
69,1
is ,500
Variables in the Equation
C.I.for EXP(B)
(B)
er
1,749
,627
7,776
1
,005
5,750
-,223
,387
,332
1
,565
,800
er
1,682
19,661
ntered on step 1: katRotavirus.
ROC Curve
Universitas Sumatera Utara
Notes
26-JAN-2015 17:18:40
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
ased on all cases with valid data for all
variables in the analysis.
BY invaginasiRL (1)
VE(REFERENCE)
COORDINATES
ERIA=CUTOFF(INCLUDE)
TESTPOS(LARGE)
DISTRIBUTION(FREE) CI(95)
CLUDE.
00:00:01,19
00:00:00,89
Case Processing Summary
N (listwise)
35
20
Universitas Sumatera Utara
of the test result variable(s) indicate
stronger evidence for a positive
actual state.
actual state is Invaginasi.
Area Under the Curve
Test Result Variable(s): Neutrofil
a
Error
a
totic Sig.
b
totic 95% Confidence Interval
Universitas Sumatera Utara
er Bound
1,000
,000
,000
r Bound
1,000
1,000
nparametric assumption
sis: true area = 0.5
Coordinates of the Curve
Test Result Variable(s): Neutrofil
ater Than or Equal
To
a
itivity
Specificity
41,00
1,000
1,000
45,00
1,000
,950
49,50
1,000
,900
51,50
1,000
,800
53,50
1,000
,700
56,50
1,000
,500
59,00
1,000
,350
61,00
1,000
,250
62,50
1,000
,200
64,00
1,000
,100
66,50
1,000
,050
69,00
1,000
,000
70,50
,971
,000
72,50
,943
,000
74,50
,886
,000
75,50
,800
,000
76,50
,657
,000
77,50
,629
,000
Universitas Sumatera Utara
78,50
,457
,000
79,50
,429
,000
81,00
,343
,000
83,00
,200
,000
84,50
,143
,000
85,50
,086
,000
87,00
,029
,000
89,00
,000
,000
t cutoff value is the minimum observed test value
minus 1, and the largest cutoff value is the
maximum observed test value plus 1. All the
other cutoff values are the averages of two
consecutive ordered observed test values.
katneutrofil * invaginasi Crosstabulation
invaginasi
inasi
t
trofil
t
trofil
t
trofil
re
tal
35
0
35
22,3
12,7
35,0
100,0%
0,0%
100,0%
0
20
20
12,7
7,3
20,0
0,0%
100,0%
100,0%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
Universitas Sumatera Utara
Universitas Sumatera Utara
Crosstabs
Notes
26-JAN-2015 21:05:09
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
ach table are based on all the cases with
valid data in the specified range(s) for all
variables in each table.
tRotavirus
jk
katgizi
katsuku
katNSP4
katneutrofil BY inv_Ileo_vs_colo
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW
UND CELL.
00:00:00,02
00:00:00,05
quested
2
174734
Universitas Sumatera Utara
[DataSet1] D:\PROJECT\STATISTIK\bedah\IQBAL\data 25 januari 2015\data dr Iqbal 25 jan 2015.sav
Case Processing Summary
Cases
Valid
Missing
ent
Total
ent
ent
nv_Ileo_vs_colo
35
63,6%
20
36,4%
55
100,0%
_colo
35
63,6%
20
36,4%
55
100,0%
o_vs_colo
35
63,6%
20
36,4%
55
100,0%
eo_vs_colo
35
63,6%
20
36,4%
55
100,0%
Ileo_vs_colo
35
63,6%
20
36,4%
55
100,0%
35
63,6%
20
36,4%
55
100,0%
_Ileo_vs_colo
katRotavirus * inv_Ileo_vs_colo
Crosstab
Universitas Sumatera Utara
_Ileo_vs_colo
m
on
t
tavirus
t
tavirus
t
tavirus
tal
19
4
23
19,7
3,3
23,0
82,6%
17,4%
100,0%
11
1
12
10,3
1,7
12,0
91,7%
8,3%
100,0%
30
5
35
30,0
5,0
35,0
85,7%
14,3%
100,0%
Chi-Square Tests
ue
uare
rrection
est
f
Sig. (2-sided)
a
1
,467
,048
1
,827
,570
1
,450
,528
b
Sig. (2-sided)
Sig. (1-sided)
,640
Universitas Sumatera Utara
,431
r Association
,513
s
1
,474
35
) have expected count less than 5. The minimum expected count is 1,71.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
wer
Upper
katRotavirus (A / -)
,432
,043
4,366
Ileo_vs_colo = ileum
,901
,699
1,161
Ileo_vs_colo = colon
2,087
,261
16,658
s
35
jk * inv_Ileo_vs_colo
Crosstab
_Ileo_vs_colo
m
t
t
t
on
tal
22
3
25
21,4
3,6
25,0
88,0%
12,0%
100,0%
8
2
10
8,6
1,4
10,0
80,0%
20,0%
100,0%
30
5
35
30,0
5,0
35,0
Universitas Sumatera Utara
85,7%
14,3%
100,0%
Chi-Square Tests
ue
df
uare
rrection
Sig. (2-sided)
a
1
,541
,006
1
,939
,354
1
,552
,373
b
Sig. (2-sided)
Sig. (1-sided)
est
,610
s
,447
35
) have expected count less than 5. The minimum expected count is 1,43.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
wer
Upper
jk (Laki-Laki / Perempuan)
1,833
,257
13,063
Ileo_vs_colo = ileum
1,100
,781
1,549
Ileo_vs_colo = colon
,600
,117
3,068
s
35
katgizi * inv_Ileo_vs_colo
Crosstab
_Ileo_vs_colo
m
on
13
tal
2
15
Universitas Sumatera Utara
t
12,9
2,1
15,0
86,7%
13,3%
100,0%
17
3
20
17,1
2,9
20,0
85,0%
15,0%
100,0%
30
5
35
30,0
5,0
35,0
85,7%
14,3%
100,0%
gizi baik
t
t
Chi-Square Tests
ue
uare
rrection
df
Sig. (2-sided)
a
1
,889
,000
1
1,000
,020
1
,889
,019
b
Sig. (2-sided)
est
Sig. (1-sided)
1,000
r Association
,019
s
1
,891
35
) have expected count less than 5. The minimum expected count is 2,14.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
wer
Upper
Universitas Sumatera Utara
,640
r katgizi (gizi lebih / Gizi kurang
1,147
,167
7,898
Ileo_vs_colo = ileum
1,020
,778
1,337
Ileo_vs_colo = colon
,889
,169
4,671
dan gizi baik)
s
35
katsuku * inv_Ileo_vs_colo
Crosstab
_Ileo_vs_colo
m
on
16
0
16
13,7
2,3
16,0
100,0%
0,0%
100,0%
14
5
19
16,3
2,7
19,0
73,7%
26,3%
100,0%
30
5
35
30,0
5,0
35,0
85,7%
14,3%
100,0%
t
u
tal
t
u
t
u
Chi-Square Tests
ue
uare
rrection
df
Sig. (2-sided)
a
1
,027
2,998
1
,083
4,912
b
Sig. (2-sided)
Sig. (1-sided)
Universitas Sumatera Utara
6,807
1
,009
est
,049
r Association
4,772
s
1
,029
35
) have expected count less than 5. The minimum expected count is 2,29.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
Ileo_vs_colo = ileum
s
wer
1,357
Upper
1,037
1,776
35
Bootstrap
Notes
26-JAN-2015 21:23:41
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
55
Universitas Sumatera Utara
,036
ETHOD=SIMPLE
TARGET=usia
Neutrofil
INPUT=inv_Ileo_vs_colo
CILEVEL=95
CITYPE=PERCENTILE
NSAMPLES=1000
USERMISSING=EXCLUDE.
00:00:00,03
00:00:00,03
Bootstrap Specifications
od
ples
1000
rval Level
95,0%
rval Type
T-Test
Notes
26-JAN-2015 21:23:41
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
22435
Universitas Sumatera Utara
Handling
sing
issing values are treated as missing.
ch analysis are based on the cases with no
missing
or
out-of-range
data
for
any
variable in the analysis.
UPS=inv_Ileo_vs_colo(1 2)
=ANALYSIS
ES=usia Neutrofil
ERIA=CI(.95).
00:00:03,46
00:00:04,59
Warnings
computed for a split file in the Independent Samples table. The split file is: $bootstrap_split=397.
computed for a split file in the Independent Samples table. The split file is: $bootstrap_split=954.
Group Statistics
Bootstrap
b
Confidence Interval
o
tistic
as
Error
wer
Upper
30
6,40
-,04
,88
4,88
Universitas Sumatera Utara
8,28
5,035
-,345
1,314
1,957
7,069
,919
5
c
2,23
d
1,408
8,80
,02
5,070
-,816
c
4,00
c
13,50
d
,000
d
6,928
c
d
2,267
30
79,03
-,03
,82
77,39
80,64
4,545
-,102
,478
3,479
5,382
,830
5
c
1,55
d
1,567
79,00
-,04
3,464
-,897
c
77,00
c
82,67
d
,000
d
4,950
1,549
rwise noted, bootstrap results are based on 1000 bootstrap samples
8 samples
Universitas Sumatera Utara
c
d
6 samples
Independent Samples Test
a
st for Equality of
Variances
t-test for Equality of Means
nce Interval of the
Difference
.
assumed
,196
led)
,660
not assumed
assumed
1,380
not assumed
,248
rence r Difference
r
er
-,986
33
,331
-2,400
2,434
-7,352
2,552
-,981
5,403
,368
-2,400
2,446
-8,550
3,750
,016
33
,988
,033
2,139
-4,318
4,385
,019
6,550
,985
,033
1,757
-4,181
4,248
are computed for one or more split files
Bootstrap for Independent Samples Test
rence
Bootstrap
a
Universitas Sumatera Utara
Confidence Interval
Error
wer
Upper
assumed
-2,400
-,068
b
2,394
b
-7,713
b
1,831
b
not assumed
-2,400
-,068
b
2,394
b
-7,713
b
1,831
b
assumed
,033
,002
b
1,795
b
-3,858
b
2,814
b
not assumed
,033
,002
b
1,795
b
-3,858
b
2,814
b
rwise noted, bootstrap results are based on 1000 bootstrap samples
8 samples
katNSP4 * inv_Ileo_vs_colo
Crosstab
_Ileo_vs_colo
m
olon
tal
Universitas Sumatera Utara
t
tNSP4
t
tNSP4
t
tNSP4
5
0
5
4,3
,7
5,0
100,0%
0,0%
100,0%
25
5
30
25,7
4,3
30,0
83,3%
16,7%
100,0%
30
5
35
30,0
5,0
35,0
85,7%
14,3%
100,0%
Chi-Square Tests
ue
uare
rrection
df
Sig. (2-sided)
a
1
,324
,088
1
,767
1,674
1
,196
,972
b
Sig. (2-sided)
est
Sig. (1-sided)
1,000
r Association
,944
s
1
,331
35
) have expected count less than 5. The minimum expected count is ,71.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
Ileo_vs_colo = ileum
s
wer
1,200
Upper
1,023
1,408
35
Universitas Sumatera Utara
,439
Crosstabs
Notes
25-JAN-2015 22:59:42
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
Universitas Sumatera Utara
tRotavirus BY NSP4
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW COLUMN
UND CELL.
00:00:00,03
00:00:00,02
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
* NSP4
55
Total
ent
100,0%
0
ent
0,0%
55
100,0%
katRotavirus * NSP4 Crosstabulation
NSP4
tal
Universitas Sumatera Utara
t
tavirus
t
tavirus
t
tavirus
20
8
28
23,9
4,1
28,0
71,4%
28,6%
100,0%
42,6%
100,0%
50,9%
27
0
27
23,1
3,9
27,0
100,0%
0,0%
100,0%
57,4%
0,0%
49,1%
47
8
55
47,0
8,0
55,0
85,5%
14,5%
100,0%
100,0%
100,0%
100,0%
Chi-Square Tests
e
uare
Correction
Sig. (2-sided)
a
1
,003
6,875
1
,009
12,119
1
,000
9,027
b
Sig. (2-sided)
est
Sig. (1-sided)
,004
s
,003
55
) have expected count less than 5. The minimum expected count is 3,93.
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
er
Upper
Universitas Sumatera Utara
NSP4 =
,714
s
,565
,903
55
Crosstabs
Notes
25-JAN-2015 23:07:42
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
Universitas Sumatera Utara
tNSP4 BY invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW COLUMN
UND CELL.
00:00:00,02
00:00:00,03
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
ginasi
55
Total
ent
100,0%
0
ent
0,0%
55
100,0%
katNSP4 * invaginasi Crosstabulation
invaginasi
inasi
re
tal
Universitas Sumatera Utara
5
3
8
5,1
2,9
8,0
62,5%
37,5%
100,0%
14,3%
15,0%
14,5%
30
17
47
29,9
17,1
47,0
63,8%
36,2%
100,0%
85,7%
85,0%
85,5%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
100,0%
100,0%
100,0%
t
tNSP4
asi
t
tNSP4
asi
t
tNSP4
asi
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,942
,000
1
1,000
,005
1
,942
,005
b
Sig. (2-sided)
est
r Association
s
Sig. (1-sided)
1,000
,005
1
,617
,943
55
) have expected count less than 5. The minimum expected count is 2,91.
ly for a 2x2 table
Universitas Sumatera Utara
Risk Estimate
Confidence Interval
e
er
Upper
katNSP4 (+ / -)
,944
,200
4,450
ginasi = invaginasi
,979
,549
1,746
1,037
,392
2,740
ginasi = diare
s
55
Crosstabs
Notes
25-JAN-2015 23:12:28
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
FILTER)
Universitas Sumatera Utara
orking Data File
Handling
35
sing
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for all
variables in each table.
tRotavirus katNSP4 BY tipe_invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW COLUMN
UND CELL.
00:00:00,03
00:00:00,02
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
Total
ent
ent
ipe_invaginasi
35
100,0%
0
0,0%
35
100,0%
invaginasi
35
100,0%
0
0,0%
35
100,0%
katRotavirus * tipe_invaginasi
Crosstab
Universitas Sumatera Utara
tipe_invaginasi
leal
t
tavirus
vaginasi
t
tavirus
vaginasi
t
tavirus
vaginasi
olica
aecal
colica
tal
2
14
3
4
23
2,0
13,8
3,9
3,3
23,0
8,7%
60,9%
13,0%
17,4%
100,0%
66,7%
66,7%
50,0%
80,0%
65,7%
1
7
3
1
12
1,0
7,2
2,1
1,7
12,0
8,3%
58,3%
25,0%
8,3%
100,0%
33,3%
33,3%
50,0%
20,0%
34,3%
3
21
6
5
35
3,0
21,0
6,0
5,0
35,0
8,6%
60,0%
17,1%
14,3%
100,0%
100,0%
100,0%
100,0%
100,0%
100,0%
Chi-Square Tests
ue
uare
df
a
3
,772
1,129
3
,770
,132
1
,716
1,120
r Association
s
Sig. (2-sided)
35
) have expected count less than 5. The minimum expected count is 1,03.
Risk Estimate
Universitas Sumatera Utara
ue
katRotavirus (A / -)
a
te statistics cannot be computed. They are
only computed for a 2*2 table without
empty cells.
katNSP4 * tipe_invaginasi
Crosstab
tipe_invaginasi
leal
t
tNSP4
vaginasi
t
tNSP4
vaginasi
t
tNSP4
vaginasi
olica
aecal
colica
tal
0
4
1
0
5
,4
3,0
,9
,7
5,0
0,0%
80,0%
20,0%
0,0%
100,0%
0,0%
19,0%
16,7%
0,0%
14,3%
3
17
5
5
30
2,6
18,0
5,1
4,3
30,0
10,0%
56,7%
16,7%
16,7%
100,0%
100,0%
81,0%
83,3%
100,0%
85,7%
3
21
6
5
35
3,0
21,0
6,0
5,0
35,0
8,6%
60,0%
17,1%
14,3%
100,0%
100,0%
100,0%
100,0%
100,0%
100,0%
Universitas Sumatera Utara
Chi-Square Tests
ue
uare
df
a
3
,626
2,851
3
,415
,438
1
,508
1,750
r Association
s
Sig. (2-sided)
35
) have expected count less than 5. The minimum expected count is ,43.
Risk Estimate
ue
katNSP4 (+ / -)
a
te statistics cannot be computed. They are
only computed for a 2*2 table without
empty cells.
Universitas Sumatera Utara
LAMPIRAN 6: DOKUMENTASI PENELITIAN
Gambar a. Micropipette
Gambar b. Kit Reagensia
Universitas Sumatera Utara
Gambar c. Thermal Cycler
Gambar d. Bio Safety Cabinet Level 2B
Universitas Sumatera Utara
Gambar e. Chamber Elektroforesis
Gambar f. Power Supply Elektrophoresis
Universitas Sumatera Utara
Gambar g. Gel dari Dokumentasi Sistem
Gambar h. Komputer Hasil dari Gel Dokumentasi System
Universitas Sumatera Utara
Gambar i. Nanophotometer
Gambar j. Vortex
Universitas Sumatera Utara
Lampiran 7: Keluaran Program Sequence Scanner
2014/4/24 20:50:10
Signal G:2356 A:3622 C:3011 T:2872
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:3103 A:4955 C:6372 T:6820
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4370 A:8776 C:7178 T:8330
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:2743 A:4054 C:6125 T:5409
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:3881 A:6501 C:5382 T:5861
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4920 A:6300 C:7348 T:7244
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:5084 A:7428 C:6703 T:6366
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4090 A:6365 C:8641 T:8499
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4031 A:6624 C:5378 T:5430
Universitas Sumatera Utara
Universitas Sumatera Utara
22:48:12
Signal G:77 A:98 C:127 T:108
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:772 A:1434 C:1148 T:1241
Universitas Sumatera Utara
22:48:12
Signal G:520 A:914 C:1128 T:1091
Universitas Sumatera Utara
Universitas Sumatera Utara
22:48:12
Signal G:2394 A:3853 C:3106 T:3157
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4818 A:6940 C:9300 T:9141
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4413 A:7339 C:5710 T:6469
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:2978 A:4036 C:5690 T:4924
Universitas Sumatera Utara
Lampiran. Hasil aligmen sekuen nukleutida gen NSP4 rotavirus
Universitas Sumatera Utara
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
10
20
30
40
50
60
70
2D
ATGGAAAAGC TTACCGACTT CAACTACACA TTGAGTGTAA TCACTCTAAT GAACAGTACA CTACATACAA
8V
.......... ........C. .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... T......... .......... .......... .......... ..........
18
.......... ........C. .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
80
90
100
110
120
130
140
2D
TACTGGAGGA TCCAGGGATG GCGTATTTTC CCTATATTGC ATCTGTCCTA ACGGTTTTGT TCACATTGCA
8V
.......... .......... .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
150
160
170
180
190
200
210
2D
TAAAGCATCA ATTCCAACAA TGAAAATAGC GTTGAAAACG TCAAAATGTT CGTATAAAGT AGTAAAGTAT
8V
.......... .......... .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
Universitas Sumatera Utara
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
220
230
240
250
260
270
280
2D
TGTGTTGTAA CAATTTTTAA CACGTTACTG AAACTAGCAG GTTATAAAGA GCAGATAACT ACTAAAGATG
8V
.......... .......... .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
290
300
310
320
330
340
350
2D
AAATAGAAAA ACAAATGGAC AGAGTCGTTA AAGAAATGAG ACGTCAGTTG GAAATGATTG ATAAACTGAC
8V
.......... .......... .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
360
370
380
390
400
410
420
2D
TACACGTGAA ATTGAGCAAG TAGAGCTACT TAAACGTATA TATGATAAAT TGATGGTGCA ATCAATTGGC
8V
.......... .......... .......... .......... .......... .......... ..........
Universitas Sumatera Utara
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
430
440
450
460
470
480
490
2D
GAGATAGACA TGACGAAAGA AATTAATCAA AAGAACGTGA AAACGTTAGA AGAATGGGAA AGTGGAAGAA
8V
.......... .......... .......... .......... .....C.... .......... ..........
9
.......... .......... .......... .......... .....C.... .......... ..........
16
.......... .......... .......... .......... .....C.... .......... ..........
17
.......... .......... .......... .......... .....C.... .......... ..........
18
.......... .......... .......... .......... .....C.... .......... ..........
21
.......... .......... .......... .......... .....C.... .......... ..........
51
.......... .......... .......... .......... .....C.... .......... ..........
....|....| ....|....| ....|....| ....|...
500
510
520
2D
ATCCTTATGA ACCGAAAGAA GTGACTGCAG CAATGTAA
8V
.......... .......... .......... ........
9
.......... .......... .......... ........
16
.......... .......... .......... ........
17
.......... .......... .......... ........
18
.......... .......... .......... ........
21
.......... .......... .......... ........
51
.......... .......... .......... ........
Universitas Sumatera Utara
Universitas Sumatera Utara
Lampiran 8 : Bukti Jurnal Internasional
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Lampiran 9 : Keterangan Presentasi Free Paper
Universitas Sumatera Utara
Lampiran 10 : Sertifikat Free Paper
Universitas Sumatera Utara
LEMBARAN PENJELASAN KEPADA ORANG TUA ATAU WALI CALON SUBYEK
PENELITIAN
Ibu Yth,
Saya dr. Iqbal Pahlevi Adeputra Nasution, SpBA dari Fakultas Kedokteran USU akan
melakukan penelitian dengan judul: “Karakterisasi Protein Nonstruktural NSP4 Rotavirus
Sebagai Enterotoxin Virus Yang Menginduksi Terjadinya Invaginasi Pada Anak”.
Penelitian ini mengenai untuk mencari penyebab terjadinya invaginasi sehubungan dengan
keluhan yang dialami anak ibu saat ini.Penelitian ini bertujuan untuk mengetahui adanya
infeksi rotavirus dan berbagai risiko yang mungkin berhubungan dengan terjadinya penyakit
invaginasi.
Ibu Yth, manfaat yang akan ibu peroleh dari penelitian ini adalah dengan adanya hasil dari
penelitian ini maka dapat menjawab pertanyaan dari setiap orang tua yang anaknya
mengalami penyakit invaginasi seperti yang dialami anak ibu saat ini dan juga dapat segera
dapat diambil langkah-langkah
pencegahan agar tidak terjadi lagi anak yang terkena
invaginasi dan mencegah terjadinya komplikasi yang dapat ditimbulkan oleh penyakit
invaginasi seperti kerusakan maupun kebocoran dari usus yang mengalami invaginasi.
Untuk itu saya akan mencatat identitas anak ibu (nomor urut penelitian, tanggal
berobat, nomor rekam medis, nama anak ibu, umur, jenis kelamin, suku, status gizi, alamat),
mewawancarai ibu tentang gejala dan tanda yang ditimbulkan penyakit anak ibu. Selanjutnya
saya akan melakukan pemeriksaan laboratorium dengan mengambil sampel darah dan
feces/tinja dari anak ibu. Pengambilan sampel ini tidak akan menimbulkan risiko pada anak
ibu. Bila terjadi masalah/efek samping dari pemeriksaan laboratorium tersebut maka saya
Universitas Sumatera Utara
akan bertanggung jawab untuk memberikan pengobatan, penjelasan dan membantu untuk
mengatasi masalah/efek samping tersebut.
Ibu Yth, partisipasi dari ibu dan anak ibu bersifat sukarela, semua
biaya penelitian ini tidak dibebankan kepada ibu. Tidak akan terjadi
perubahan mutu pelayanan dari dokter, apabila ibu tidak bersedia mengikuti
penelitian ini anak ibu akan tetap mendapatkan pelayanan kesehatan sesuai
dengan standar prosedur pelayanan.
Bila ibu masih belum jelas menyangkut tentang penelitian ini, maka setiap saat dapat
ditanyakan langsung kepada saya atau ibu dapat menghubungi saya melalui HP (
081328272121 ) atau di Departemen Ilmu Bedah FK-USU RSUP Haji Adam Malik Medan
jam 08.00 – 14.00 wib setiap hari kerja.
Ibu Yth, pada penelitian ini identitas ibu dan anak ibu akan dirahasiakan, hanya
dokter peneliti, anggota penelitian dan anggota komite etik yang bisa melihat data ibu
ataupun anak ibu.
Bila penelitian ini dipublikasikan kerahasiaan data ibu akan tetap dijaga. Setelah ibu
memahami berbagai hal yang menyangkut penelitian ini, diharapkan ibu yang anaknya telah
terpilih pada penelitian ini dapat mengisi dan menandatangani lembaran persetujuan
penelitian.
Medan,
Peneliti
(
dr.Iqbal
Pahlevi
Adeputra
Nasution,SpBA
Universitas Sumatera Utara
)
LEMBARAN PERSETUJUAN SETELAH PENJELASAN (INFORMED CONSENT)
Saya yang bertanda tangan dibawah ini :
Nama
:
Umur
:
Jenis Kelamin :
Alamat
:
Adalah benar orang tua dari :
Nama
:
Umur
:
Jenis Kelamin :
Alamat
:
No MR
:
Setelah saya mendapat penjelasan tentang penelitian ini, saya
memahaminya dan menyatakan bersedia dengan penuh kesadaran dan
tanpa paksaan dari pihak manapun, maka dengan ini saya menyatakan
bersedia untuk mengikut sertakan anak saya yang namanya seperti tersebut
di atas didalam penelitian ini.
Apabila dikemudian hari anak saya mengundurkan diri dari penelitian
ini, maka saya sebagai orang tuanya tidak akan dituntut apapun.
Demikianlah surat pernyataan ini saya buat, agar dapat dipergunakan
bila diperlukan.
Universitas Sumatera Utara
Medan,2013
Peserta Penelitian
(...............................................)
Universitas Sumatera Utara
Lampiran 2 : Surat Izin Penelitian ke Laboratorium Terpadu FK USU
Universitas Sumatera Utara
Lampiran 3 : Surat Keterangan Telah Melaksanakan Penelitian di Laboratorium Terpadu FK USU
Lampiran 4: Persetujuan Komite Etik
Universitas Sumatera Utara
Lampiran 5: Keluaran Program Pengolahan Data Statistik
Universitas Sumatera Utara
OUTPUT ANALISIS
HASIL ANALISIS UNIVARIAT
Frequency Table
jk
ency
ent
Percent
tive Percent
38
69,1
69,1
69,1
17
30,9
30,9
100,0
55
100,0
100,0
Descriptives
stic
Error
6,60
e Interval for Mean
,590
5,42
7,78
ean
6,07
6,00
19,133
4,374
2
25
23
nge
4
2,259
,322
Universitas Sumatera Utara
6,239
,634
status_gizi
ency
ent
Percent
tive Percent
9
16,4
16,4
16,4
28
50,9
50,9
67,3
18
32,7
32,7
100,0
55
100,0
100,0
suku
ency
ent
Percent
tive Percent
22
40,0
40,0
40,0
15
27,3
27,3
67,3
7
12,7
12,7
80,0
7
12,7
12,7
92,7
4
7,3
7,3
100,0
55
100,0
100,0
katRotavirus
Universitas Sumatera Utara
ency
ent
Percent
tive Percent
28
50,9
50,9
50,9
27
49,1
49,1
100,0
55
100,0
100,0
katNSP4
ency
ent
Percent
tive Percent
8
14,5
14,5
14,5
47
85,5
85,5
100,0
55
100,0
100,0
riwayat_diare
ency
ent
Percent
tive Percent
11
20,0
20,0
20,0
29
52,7
52,7
72,7
Universitas Sumatera Utara
3
5,5
5,5
78,2
12
21,8
21,8
100,0
55
100,0
100,0
Percent
tive Percent
invaginasi
ency
ent
35
63,6
63,6
63,6
20
36,4
36,4
100,0
55
100,0
100,0
tipe_invaginasi
ency
ent
Percent
tive Percent
3
5,5
8,6
8,6
21
38,2
60,0
68,6
6
10,9
17,1
85,7
5
9,1
14,3
100,0
35
63,6
100,0
20
36,4
55
100,0
Universitas Sumatera Utara
HASIL ANALISIS BIVARIAT
Crosstabs
Notes
25-JAN-2015 22:47:50
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
Universitas Sumatera Utara
orking Data File
Handling
55
sing
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
tRotavirus BY invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW COLUMN
UND CELL.
00:00:00,00
00:00:00,02
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
nvaginasi
55
Total
ent
100,0%
0
ent
0,0%
55
100,0%
katRotavirus * invaginasi Crosstabulation
Universitas Sumatera Utara
invaginasi
inasi
re
tal
23
5
28
17,8
10,2
28,0
tavirus
82,1%
17,9%
100,0%
asi
65,7%
25,0%
50,9%
12
15
27
17,2
9,8
27,0
tavirus
44,4%
55,6%
100,0%
asi
34,3%
75,0%
49,1%
35
20
55
35,0
20,0
55,0
tavirus
63,6%
36,4%
100,0%
asi
100,0%
100,0%
100,0%
t
t
t
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,004
6,891
1
,009
8,731
1
,003
8,442
b
Sig. (2-sided)
est
r Association
s
Sig. (1-sided)
,005
8,288
1
,004
,004
55
) have expected count less than 5. The minimum expected count is 9,82.
Universitas Sumatera Utara
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
er
Upper
katRotavirus (A / -)
5,750
1,682
19,661
ginasi = invaginasi
1,848
1,172
2,915
,321
,136
,762
ginasi = diare
s
55
Crosstabs
Notes
26-JAN-2015 16:07:44
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
Universitas Sumatera Utara
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
atgizi katsuku BY invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW
UND CELL.
00:00:00,00
00:00:00,06
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
Total
ent
ent
55
100,0%
0
0,0%
55
100,0%
asi
55
100,0%
0
0,0%
55
100,0%
inasi
55
100,0%
0
0,0%
55
100,0%
jk * invaginasi
Universitas Sumatera Utara
Crosstab
invaginasi
inasi
re
tal
25
13
38
24,2
13,8
38,0
65,8%
34,2%
100,0%
10
7
17
10,8
6,2
17,0
58,8%
41,2%
100,0%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
t
t
t
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,620
,037
1
,847
,244
1
,621
,246
b
Sig. (2-sided)
est
Sig. (1-sided)
,763
s
,420
55
) have expected count less than 5. The minimum expected count is 6,18.
ly for a 2x2 table
Risk Estimate
Universitas Sumatera Utara
Confidence Interval
e
er
Upper
jk (Laki-Laki / Perempuan)
1,346
,415
4,362
ginasi = invaginasi
1,118
,707
1,770
,831
,405
1,705
ginasi = diare
s
55
katgizi * invaginasi
Crosstab
invaginasi
inasi
t
gizi baik
t
re
tal
15
3
18
11,5
6,5
18,0
83,3%
16,7%
100,0%
20
17
37
23,5
13,5
37,0
54,1%
45,9%
100,0%
35
20
55
Universitas Sumatera Utara
t
35,0
20,0
55,0
63,6%
36,4%
100,0%
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,034
3,310
1
,069
4,833
1
,028
4,486
b
Sig. (2-sided)
est
Sig. (1-sided)
,041
r Association
4,404
s
1
,032
,036
55
) have expected count less than 5. The minimum expected count is 6,55.
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
r katgizi (gizi lebih / Gizi kurang
dan gizi baik)
ginasi = invaginasi
ginasi = diare
s
er
Upper
4,250
1,050
17,202
1,542
1,074
2,214
,363
,122
1,079
55
Universitas Sumatera Utara
katsuku * invaginasi
Crosstab
invaginasi
inasi
re
t
u
t
u
t
u
tal
16
6
22
14,0
8,0
22,0
72,7%
27,3%
100,0%
19
14
33
21,0
12,0
33,0
57,6%
42,4%
100,0%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,252
,737
1
,391
1,334
1
,248
1,310
b
Sig. (2-sided)
est
r Association
Sig. (1-sided)
,391
1,286
1
,196
,257
Universitas Sumatera Utara
s
55
) have expected count less than 5. The minimum expected count is 8,00.
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
er
Upper
katsuku (Batak / Bukan Batak)
1,965
,613
6,298
ginasi = invaginasi
1,263
,856
1,864
,643
,292
1,416
ginasi = diare
s
55
Descriptives
Bootstrap
a
Confidence Interval
tic
Error
6,74
e Interval for Mean
,851
r
r
,00
,85
Upper
5,30
8,55
5,01
8,47
Universitas Sumatera Utara
ean
6,11
,10
,81
4,92
7,98
5,00
,38
,57
4,00
6,00
25,373
-,970 10,559
6,827
47,609
5,037
-,221 1,097
2,613
6,900
2
25
23
nge
e Interval for Mean
3
1
2
2
7
2,212
,398
-,162
,584
1,061
3,393
5,172
,778
-,455 3,556
,257
13,947
6,35
,666
,00
,66
5,13
7,67
6,11
,09
,64
5,03
7,55
6,00
,04
,81
4,00
8,00
8,871
-,483 3,740
2,989
16,779
2,978
-,154
,641
1,729
4,096
0
1
2
6
-,381
,681
-,479
1,961
4,96
7,74
ean
2
15
13
nge
4
1,176
,512
Universitas Sumatera Utara
e Interval for Mean
2,486
,992
79,03
,737
-1,348 1,979
-1,473
5,777
,00
,75
77,58
80,58
79,06
-,03
,78
77,55
80,62
78,00
,49
1,06
76,50
81,97
-,503 3,776
12,071
26,705
77,53
80,53
ean
19,029
4,362
-,080
,439
3,474
5,168
0
1
4
9
70
88
18
nge
e Interval for Mean
6
,131
,398
,011
,295
-,444
,743
-,505
,778
,001
,460
-1,273
,519
56,55
1,398
,03
1,37
53,92
59,29
56,72
-,05
1,41
53,97
59,44
56,50
,13
1,90
53,50
60,00
-2,067 11,621
16,849
62,628
4,105
7,914
53,62
59,48
ean
39,103
6,253
-,244
,960
42
Universitas Sumatera Utara
68
26
nge
10
-1
2
5
13
-,324
,512
,107
,483
-1,085
,758
,234
,992
-,267
,893
-1,377
1,990
rwise noted, bootstrap results are based on 1000 bootstrap samples
Bootstrap
Notes
26-JAN-2015 16:21:33
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
Universitas Sumatera Utara
orking Data File
55
ETHOD=SIMPLE
ES TARGET=usia Neutrofil INPUT=invaginasi
CILEVEL=95
CITYPE=PERCENTILE
NSAMPLES=1000
USERMISSING=EXCLUDE.
00:00:00,03
00:00:00,03
Bootstrap Specifications
od
ples
rval Level
1000
95,0%
rval Type
Universitas Sumatera Utara
T-Test
Notes
26-JAN-2015 16:21:34
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
34994
issing values are treated as missing.
ch analysis are based on the cases with no
missing
or
out-of-range
data
for
any
variable in the analysis.
UPS=invaginasi(1 2)
=ANALYSIS
ES=usia Neutrofil
ERIA=CI(.95).
00:00:03,93
00:00:04,88
Universitas Sumatera Utara
Group Statistics
Bootstrap
a
Confidence Interval
tistic
as
Error
wer
Upper
35
6,74
-,04
,82
5,21
8,37
5,037
-,223
1,073
2,632
6,796
,851
Universitas Sumatera Utara
20
6,35
,01
,67
5,14
7,76
2,978
-,123
,637
1,744
4,043
79,03
,00
,71
77,70
80,41
4,362
-,080
,438
3,454
5,126
56,55
,00
1,38
53,80
59,20
6,253
-,277
,958
4,033
7,914
,666
35
,737
20
1,398
rwise noted, bootstrap results are based on 1000 bootstrap samples
Independent Samples Test
est for Equality of
Variances
t-test for Equality of Means
nce Interval of the
Difference
.
assumed
1,585
not assumed
assumed
not assumed
2,817
iled)
,214
rence
r Difference
r
r
,318
53
,752
,393
1,236
-2,087
2,873
,363
52,898
,718
,393
1,081
-1,775
2,561
,099 15,660
53
,000
22,479
1,435
19,599
25,358
14,220
29,750
,000
22,479
1,581
19,249
25,708
Universitas Sumatera Utara
Bootstrap for Independent Samples Test
Bootstrap
a
Confidence Interval
fference
Error
-tailed)
wer
Upper
assumed
,393
-,050
1,070
-1,785
2,482
not assumed
,393
-,050
1,070
-1,785
2,482
assumed
22,479
-,002
1,530
,001
19,453
25,567
not assumed
22,479
-,002
1,530
,001
19,453
25,567
rwise noted, bootstrap results are based on 1000 bootstrap samples
Crosstabs
Notes
26-JAN-2015 16:39:23
Universitas Sumatera Utara
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
55
sing
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
tNSP4 BY invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW
UND CELL.
00:00:00,02
00:00:00,02
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
ginasi
55
Total
ent
100,0%
0
ent
0,0%
55
100,0%
Universitas Sumatera Utara
katNSP4 * invaginasi Crosstabulation
invaginasi
inasi
t
tNSP4
t
tNSP4
t
tNSP4
re
tal
5
3
8
5,1
2,9
8,0
62,5%
37,5%
100,0%
30
17
47
29,9
17,1
47,0
63,8%
36,2%
100,0%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,942
,000
1
1,000
,005
b
Sig. (2-sided)
Sig. (1-sided)
Universitas Sumatera Utara
,005
1
,942
est
1,000
r Association
,005
s
1
,617
,943
55
) have expected count less than 5. The minimum expected count is 2,91.
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
er
Upper
katNSP4 (+ / -)
,944
,200
4,450
ginasi = invaginasi
,979
,549
1,746
1,037
,392
2,740
ginasi = diare
s
55
Logistic Regression
Notes
Universitas Sumatera Utara
26-JAN-2015 16:53:31
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing
RESSION VARIABLES invaginasiRL
D=ENTER
jk
katgizi
katsuku
katRotavirus
katNSP4 Neutrofil
(katRotavirus)=Indicator
(katgizi)=Indicator
(jk)=Indicator
(katsuku)=Indicator
(katNSP4)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,02
00:00:00,06
Warnings
Universitas Sumatera Utara
nd: LOGISTIC REGRESSION
cannot use string variables longer than 8 bytes. The values will be truncated.
Case Processing Summary
ses
a
ent
lysis
55
100,0
0
,0
55
100,0
0
,0
55
100,0
es
effect, see classification table for the total number of cases.
Dependent Variable Encoding
al Value
0
1
Categorical Variables Codings
eter coding
uency
gizi baik
(1)
8
1,000
47
,000
18
1,000
37
,000
22
1,000
33
,000
Universitas Sumatera Utara
28
1,000
27
,000
38
1,000
17
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
inasi
tage Correct
0
20
,0
0
35
100,0
tage
63,6
cluded in the model.
is ,500
Variables in the Equation
S.E.
,560
ld
,280
df
.
3,986
1
(B)
,046
1,750
Universitas Sumatera Utara
Variables not in the Equation
re
s
df
.
,246
1
,620
4,486
1
,034
1,310
1
,252
8,442
1
,004
,005
1
,942
45,225
1
,000
45,952
6
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
6
,000
72,103
6
,000
72,103
6
,000
Model Summary
likelihood
ell R Square
,000
a
rke R Square
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Universitas Sumatera Utara
Predicted
invaginasiRL
re
inasi
tage Correct
20
0
100,0
0
35
100,0
tage
100,0
is ,500
Variables in the Equation
C.I.for EXP(B)
S.E.
(B)
er
-18,026
10478,749
,000
1
,999
,000
,000
.
10,328
20725,317
,000
1
1,000
30576,024
,000
.
-4,274
8710,312
,000
1
1,000
,014
,000
.
12,404
22018,134
,000
1
1,000
243825,711
,000
.
-45,536
71749,105
,000
1
,999
,000
,000
.
5,444
699,549
,000
1
,994
231,431
,000
.
-368,071
50717,488
,000
1
,994
,000
ntered on step 1: jk, katgizi, katsuku, katRotavirus, katNSP4, Neutrofil.
Universitas Sumatera Utara
Logistic Regression
Notes
26-JAN-2015 16:58:47
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
Universitas Sumatera Utara
orking Data File
Handling
55
sing
issing values are treated as missing
RESSION VARIABLES invaginasiRL
D=ENTER jk katsuku katRotavirus katNSP4
Neutrofil
(katRotavirus)=Indicator
(jk)=Indicator
(katsuku)=Indicator
(katNSP4)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,00
00:00:00,00
Warnings
nd: LOGISTIC REGRESSION
cannot use string variables longer than 8 bytes. The values will be truncated.
Case Processing Summary
ses
a
ent
lysis
es
55
100,0
0
,0
55
100,0
0
,0
55
100,0
Universitas Sumatera Utara
effect, see classification table for the total number of cases.
Dependent Variable Encoding
rnal Value
0
1
Categorical Variables Codings
eter coding
uency
(1)
8
1,000
47
,000
22
1,000
33
,000
28
1,000
27
,000
38
1,000
17
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
inasi
tage Correct
Universitas Sumatera Utara
0
20
,0
0
35
100,0
tage
63,6
cluded in the model.
is ,500
Variables in the Equation
S.E.
ld
,560
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
df
.
,246
1
,620
1,310
1
,252
Universitas Sumatera Utara
s
8,442
1
,004
,005
1
,942
45,225
1
,000
45,905
5
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
5
,000
72,103
5
,000
72,103
5
,000
Model Summary
likelihood
Snell R Square
,000
a
rke R Square
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Predicted
invaginasiRL
re
tage
inasi
tage Correct
20
0
100,0
0
35
100,0
100,0
is ,500
Universitas Sumatera Utara
Variables in the Equation
C.I.for EXP(B)
S.E.
xp(B)
er
-19,204
18072,233
,000
1
,999
,000
,000
.
-2,596
12003,147
,000
1
1,000
,075
,000
.
22,731
7366,998
,000
1
,998
7447344902,422
,000
.
-54,991
75068,884
,000
1
,999
,000
,000
.
5,399
652,421
,000
1
,993
221,219
,000
.
-363,738
49654,064
,000
1
,994
,000
ntered on step 1: jk, katsuku, katRotavirus, katNSP4, Neutrofil.
Logistic Regression
Notes
26-JAN-2015 17:01:37
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing
Universitas Sumatera Utara
RESSION VARIABLES invaginasiRL
D=ENTER jk katRotavirus katNSP4 Neutrofil
(katRotavirus)=Indicator
(jk)=Indicator
(katNSP4)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,02
00:00:00,02
Warnings
nd: LOGISTIC REGRESSION
cannot use string variables longer than 8 bytes. The values will be truncated.
Case Processing Summary
ses
a
ent
lysis
es
55
100,0
0
,0
55
100,0
0
,0
Universitas Sumatera Utara
55
100,0
effect, see classification table for the total number of cases.
Dependent Variable Encoding
rnal Value
0
1
Categorical Variables Codings
eter coding
uency
(1)
8
1,000
47
,000
28
1,000
27
,000
38
1,000
17
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
tage
inasi
tage Correct
0
20
,0
0
35
100,0
63,6
Universitas Sumatera Utara
cluded in the model.
is ,500
Variables in the Equation
S.E.
ld
,560
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
s
df
.
,246
1
,620
8,442
1
,004
,005
1
,942
45,225
1
,000
45,890
4
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
4
,000
72,103
4
,000
72,103
4
,000
Model Summary
likelihood
Snell R Square
rke R Square
Universitas Sumatera Utara
,000
a
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Predicted
invaginasiRL
re
inasi
tage Correct
20
0
100,0
0
35
100,0
tage
100,0
is ,500
Variables in the Equation
C.I.for EXP(B)
S.E.
xp(B)
er
er
-19,088
16719,617
,000
1
,999
,000
,000
.
22,765
7422,369
,000
1
,998
7707498328,265
,000
.
-57,315
76904,938
,000
1
,999
,000
,000
.
5,386
637,685
,000
1
,993
218,332
,000
.
-362,950
48139,517
,000
1
,994
,000
ntered on step 1: jk, katRotavirus, katNSP4, Neutrofil.
Universitas Sumatera Utara
Logistic Regression
Notes
26-JAN-2015 17:03:59
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
55
sing
issing values are treated as missing
RESSION VARIABLES invaginasiRL
D=ENTER katRotavirus katNSP4 Neutrofil
(katRotavirus)=Indicator
(katNSP4)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,02
00:00:00,02
Case Processing Summary
ses
a
ent
lysis
55
100,0
Universitas Sumatera Utara
0
,0
55
100,0
0
,0
55
100,0
es
effect, see classification table for the total number of cases.
Dependent Variable Encoding
al Value
0
1
Categorical Variables Codings
eter coding
uency
(1)
8
1,000
47
,000
28
1,000
27
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
inasi
tage Correct
0
20
,0
0
35
100,0
Universitas Sumatera Utara
tage
63,6
cluded in the model.
is ,500
Variables in the Equation
S.E.
ld
,560
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
s
df
.
8,442
1
,004
,005
1
,942
45,225
1
,000
45,869
3
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
3
,000
72,103
3
,000
72,103
3
,000
Universitas Sumatera Utara
Model Summary
likelihood
ell R Square
,000
a
rke R Square
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Predicted
invaginasiRL
re
inasi
tage Correct
20
0
100,0
0
35
100,0
tage
100,0
is ,500
Variables in the Equation
C.I.for EXP(B)
S.E.
(B)
er
er
12,952
7500,185
,000
1
,999
421533,407
,000
.
-74,703
64874,466
,000
1
,999
,000
,000
.
9,878
778,607
,000
1
,990
19490,883
,000
.
-686,572
54208,833
,000
1
,990
,000
ntered on step 1: katRotavirus, katNSP4, Neutrofil.
Logistic Regression
Notes
Universitas Sumatera Utara
26-JAN-2015 17:06:28
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
55
sing
issing values are treated as missing
RESSION VARIABLES invaginasiRL
D=ENTER katRotavirus Neutrofil
(katRotavirus)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,00
00:00:00,00
Case Processing Summary
ses
a
ent
lysis
es
55
100,0
0
,0
55
100,0
0
,0
55
100,0
Universitas Sumatera Utara
effect, see classification table for the total number of cases.
Dependent Variable Encoding
al Value
0
1
Categorical Variables Codings
eter coding
uency
(1)
28
1,000
27
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
tage
inasi
tage Correct
0
20
,0
0
35
100,0
63,6
cluded in the model.
is ,500
Universitas Sumatera Utara
Variables in the Equation
S.E.
ld
,560
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
s
df
.
8,442
1
,004
45,225
1
,000
45,281
2
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
quare
df
.
72,103
2
,000
72,103
2
,000
72,103
2
,000
Model Summary
likelihood
ell R Square
rke R Square
Universitas Sumatera Utara
,000
a
,730
1,000
rminated at iteration number 20 because maximum iterations has
been reached. Final solution cannot be found.
Classification Table
a
Predicted
invaginasiRL
re
inasi
tage Correct
20
0
100,0
0
35
100,0
tage
100,0
is ,500
Variables in the Equation
C.I.for EXP(B)
S.E.
(B)
er
er
12,881
7320,391
,000
1
,999
392937,721
,000
.
9,864
770,179
,000
1
,990
19230,195
,000
.
-685,608
53590,673
,000
1
,990
,000
ntered on step 1: katRotavirus, Neutrofil.
Universitas Sumatera Utara
Logistic Regression
Notes
26-JAN-2015 17:07:55
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing
Universitas Sumatera Utara
RESSION VARIABLES invaginasiRL
D=ENTER katRotavirus
(katRotavirus)=Indicator
)
ERIA=PIN(0.05)
POUT(0.10)
ITERATE(20)
CUT(0.5).
00:00:00,00
00:00:00,00
Case Processing Summary
a
ses
ent
lysis
es
55
100,0
0
,0
55
100,0
0
,0
55
100,0
effect, see classification table for the total number of cases.
Dependent Variable Encoding
al Value
0
1
Categorical Variables Codings
ency
eter coding
Universitas Sumatera Utara
(1)
28
1,000
27
,000
Block 0: Beginning Block
Classification Table
a,b
Predicted
invaginasiRL
re
inasi
tage Correct
0
20
,0
0
35
100,0
tage
63,6
cluded in the model.
is ,500
Variables in the Equation
S.E.
,560
ld
,280
df
.
3,986
1
(B)
,046
1,750
Variables not in the Equation
re
s
df
.
8,442
1
,004
8,442
1
,004
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Universitas Sumatera Utara
quare
df
.
8,731
1
,003
8,731
1
,003
8,731
1
,003
Model Summary
likelihood
ell R Square
63,372
a
rke R Square
,147
,201
terminated at iteration number 4 because parameter estimates
changed by less than ,001.
Classification Table
a
Predicted
invaginasiRL
re
inasi
tage Correct
15
5
75,0
12
23
65,7
tage
69,1
is ,500
Variables in the Equation
C.I.for EXP(B)
(B)
er
1,749
,627
7,776
1
,005
5,750
-,223
,387
,332
1
,565
,800
er
1,682
19,661
ntered on step 1: katRotavirus.
ROC Curve
Universitas Sumatera Utara
Notes
26-JAN-2015 17:18:40
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
ased on all cases with valid data for all
variables in the analysis.
BY invaginasiRL (1)
VE(REFERENCE)
COORDINATES
ERIA=CUTOFF(INCLUDE)
TESTPOS(LARGE)
DISTRIBUTION(FREE) CI(95)
CLUDE.
00:00:01,19
00:00:00,89
Case Processing Summary
N (listwise)
35
20
Universitas Sumatera Utara
of the test result variable(s) indicate
stronger evidence for a positive
actual state.
actual state is Invaginasi.
Area Under the Curve
Test Result Variable(s): Neutrofil
a
Error
a
totic Sig.
b
totic 95% Confidence Interval
Universitas Sumatera Utara
er Bound
1,000
,000
,000
r Bound
1,000
1,000
nparametric assumption
sis: true area = 0.5
Coordinates of the Curve
Test Result Variable(s): Neutrofil
ater Than or Equal
To
a
itivity
Specificity
41,00
1,000
1,000
45,00
1,000
,950
49,50
1,000
,900
51,50
1,000
,800
53,50
1,000
,700
56,50
1,000
,500
59,00
1,000
,350
61,00
1,000
,250
62,50
1,000
,200
64,00
1,000
,100
66,50
1,000
,050
69,00
1,000
,000
70,50
,971
,000
72,50
,943
,000
74,50
,886
,000
75,50
,800
,000
76,50
,657
,000
77,50
,629
,000
Universitas Sumatera Utara
78,50
,457
,000
79,50
,429
,000
81,00
,343
,000
83,00
,200
,000
84,50
,143
,000
85,50
,086
,000
87,00
,029
,000
89,00
,000
,000
t cutoff value is the minimum observed test value
minus 1, and the largest cutoff value is the
maximum observed test value plus 1. All the
other cutoff values are the averages of two
consecutive ordered observed test values.
katneutrofil * invaginasi Crosstabulation
invaginasi
inasi
t
trofil
t
trofil
t
trofil
re
tal
35
0
35
22,3
12,7
35,0
100,0%
0,0%
100,0%
0
20
20
12,7
7,3
20,0
0,0%
100,0%
100,0%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
Universitas Sumatera Utara
Universitas Sumatera Utara
Crosstabs
Notes
26-JAN-2015 21:05:09
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
ach table are based on all the cases with
valid data in the specified range(s) for all
variables in each table.
tRotavirus
jk
katgizi
katsuku
katNSP4
katneutrofil BY inv_Ileo_vs_colo
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW
UND CELL.
00:00:00,02
00:00:00,05
quested
2
174734
Universitas Sumatera Utara
[DataSet1] D:\PROJECT\STATISTIK\bedah\IQBAL\data 25 januari 2015\data dr Iqbal 25 jan 2015.sav
Case Processing Summary
Cases
Valid
Missing
ent
Total
ent
ent
nv_Ileo_vs_colo
35
63,6%
20
36,4%
55
100,0%
_colo
35
63,6%
20
36,4%
55
100,0%
o_vs_colo
35
63,6%
20
36,4%
55
100,0%
eo_vs_colo
35
63,6%
20
36,4%
55
100,0%
Ileo_vs_colo
35
63,6%
20
36,4%
55
100,0%
35
63,6%
20
36,4%
55
100,0%
_Ileo_vs_colo
katRotavirus * inv_Ileo_vs_colo
Crosstab
Universitas Sumatera Utara
_Ileo_vs_colo
m
on
t
tavirus
t
tavirus
t
tavirus
tal
19
4
23
19,7
3,3
23,0
82,6%
17,4%
100,0%
11
1
12
10,3
1,7
12,0
91,7%
8,3%
100,0%
30
5
35
30,0
5,0
35,0
85,7%
14,3%
100,0%
Chi-Square Tests
ue
uare
rrection
est
f
Sig. (2-sided)
a
1
,467
,048
1
,827
,570
1
,450
,528
b
Sig. (2-sided)
Sig. (1-sided)
,640
Universitas Sumatera Utara
,431
r Association
,513
s
1
,474
35
) have expected count less than 5. The minimum expected count is 1,71.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
wer
Upper
katRotavirus (A / -)
,432
,043
4,366
Ileo_vs_colo = ileum
,901
,699
1,161
Ileo_vs_colo = colon
2,087
,261
16,658
s
35
jk * inv_Ileo_vs_colo
Crosstab
_Ileo_vs_colo
m
t
t
t
on
tal
22
3
25
21,4
3,6
25,0
88,0%
12,0%
100,0%
8
2
10
8,6
1,4
10,0
80,0%
20,0%
100,0%
30
5
35
30,0
5,0
35,0
Universitas Sumatera Utara
85,7%
14,3%
100,0%
Chi-Square Tests
ue
df
uare
rrection
Sig. (2-sided)
a
1
,541
,006
1
,939
,354
1
,552
,373
b
Sig. (2-sided)
Sig. (1-sided)
est
,610
s
,447
35
) have expected count less than 5. The minimum expected count is 1,43.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
wer
Upper
jk (Laki-Laki / Perempuan)
1,833
,257
13,063
Ileo_vs_colo = ileum
1,100
,781
1,549
Ileo_vs_colo = colon
,600
,117
3,068
s
35
katgizi * inv_Ileo_vs_colo
Crosstab
_Ileo_vs_colo
m
on
13
tal
2
15
Universitas Sumatera Utara
t
12,9
2,1
15,0
86,7%
13,3%
100,0%
17
3
20
17,1
2,9
20,0
85,0%
15,0%
100,0%
30
5
35
30,0
5,0
35,0
85,7%
14,3%
100,0%
gizi baik
t
t
Chi-Square Tests
ue
uare
rrection
df
Sig. (2-sided)
a
1
,889
,000
1
1,000
,020
1
,889
,019
b
Sig. (2-sided)
est
Sig. (1-sided)
1,000
r Association
,019
s
1
,891
35
) have expected count less than 5. The minimum expected count is 2,14.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
wer
Upper
Universitas Sumatera Utara
,640
r katgizi (gizi lebih / Gizi kurang
1,147
,167
7,898
Ileo_vs_colo = ileum
1,020
,778
1,337
Ileo_vs_colo = colon
,889
,169
4,671
dan gizi baik)
s
35
katsuku * inv_Ileo_vs_colo
Crosstab
_Ileo_vs_colo
m
on
16
0
16
13,7
2,3
16,0
100,0%
0,0%
100,0%
14
5
19
16,3
2,7
19,0
73,7%
26,3%
100,0%
30
5
35
30,0
5,0
35,0
85,7%
14,3%
100,0%
t
u
tal
t
u
t
u
Chi-Square Tests
ue
uare
rrection
df
Sig. (2-sided)
a
1
,027
2,998
1
,083
4,912
b
Sig. (2-sided)
Sig. (1-sided)
Universitas Sumatera Utara
6,807
1
,009
est
,049
r Association
4,772
s
1
,029
35
) have expected count less than 5. The minimum expected count is 2,29.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
Ileo_vs_colo = ileum
s
wer
1,357
Upper
1,037
1,776
35
Bootstrap
Notes
26-JAN-2015 21:23:41
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
55
Universitas Sumatera Utara
,036
ETHOD=SIMPLE
TARGET=usia
Neutrofil
INPUT=inv_Ileo_vs_colo
CILEVEL=95
CITYPE=PERCENTILE
NSAMPLES=1000
USERMISSING=EXCLUDE.
00:00:00,03
00:00:00,03
Bootstrap Specifications
od
ples
1000
rval Level
95,0%
rval Type
T-Test
Notes
26-JAN-2015 21:23:41
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
22435
Universitas Sumatera Utara
Handling
sing
issing values are treated as missing.
ch analysis are based on the cases with no
missing
or
out-of-range
data
for
any
variable in the analysis.
UPS=inv_Ileo_vs_colo(1 2)
=ANALYSIS
ES=usia Neutrofil
ERIA=CI(.95).
00:00:03,46
00:00:04,59
Warnings
computed for a split file in the Independent Samples table. The split file is: $bootstrap_split=397.
computed for a split file in the Independent Samples table. The split file is: $bootstrap_split=954.
Group Statistics
Bootstrap
b
Confidence Interval
o
tistic
as
Error
wer
Upper
30
6,40
-,04
,88
4,88
Universitas Sumatera Utara
8,28
5,035
-,345
1,314
1,957
7,069
,919
5
c
2,23
d
1,408
8,80
,02
5,070
-,816
c
4,00
c
13,50
d
,000
d
6,928
c
d
2,267
30
79,03
-,03
,82
77,39
80,64
4,545
-,102
,478
3,479
5,382
,830
5
c
1,55
d
1,567
79,00
-,04
3,464
-,897
c
77,00
c
82,67
d
,000
d
4,950
1,549
rwise noted, bootstrap results are based on 1000 bootstrap samples
8 samples
Universitas Sumatera Utara
c
d
6 samples
Independent Samples Test
a
st for Equality of
Variances
t-test for Equality of Means
nce Interval of the
Difference
.
assumed
,196
led)
,660
not assumed
assumed
1,380
not assumed
,248
rence r Difference
r
er
-,986
33
,331
-2,400
2,434
-7,352
2,552
-,981
5,403
,368
-2,400
2,446
-8,550
3,750
,016
33
,988
,033
2,139
-4,318
4,385
,019
6,550
,985
,033
1,757
-4,181
4,248
are computed for one or more split files
Bootstrap for Independent Samples Test
rence
Bootstrap
a
Universitas Sumatera Utara
Confidence Interval
Error
wer
Upper
assumed
-2,400
-,068
b
2,394
b
-7,713
b
1,831
b
not assumed
-2,400
-,068
b
2,394
b
-7,713
b
1,831
b
assumed
,033
,002
b
1,795
b
-3,858
b
2,814
b
not assumed
,033
,002
b
1,795
b
-3,858
b
2,814
b
rwise noted, bootstrap results are based on 1000 bootstrap samples
8 samples
katNSP4 * inv_Ileo_vs_colo
Crosstab
_Ileo_vs_colo
m
olon
tal
Universitas Sumatera Utara
t
tNSP4
t
tNSP4
t
tNSP4
5
0
5
4,3
,7
5,0
100,0%
0,0%
100,0%
25
5
30
25,7
4,3
30,0
83,3%
16,7%
100,0%
30
5
35
30,0
5,0
35,0
85,7%
14,3%
100,0%
Chi-Square Tests
ue
uare
rrection
df
Sig. (2-sided)
a
1
,324
,088
1
,767
1,674
1
,196
,972
b
Sig. (2-sided)
est
Sig. (1-sided)
1,000
r Association
,944
s
1
,331
35
) have expected count less than 5. The minimum expected count is ,71.
ly for a 2x2 table
Risk Estimate
Confidence Interval
ue
Ileo_vs_colo = ileum
s
wer
1,200
Upper
1,023
1,408
35
Universitas Sumatera Utara
,439
Crosstabs
Notes
25-JAN-2015 22:59:42
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
Universitas Sumatera Utara
tRotavirus BY NSP4
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW COLUMN
UND CELL.
00:00:00,03
00:00:00,02
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
* NSP4
55
Total
ent
100,0%
0
ent
0,0%
55
100,0%
katRotavirus * NSP4 Crosstabulation
NSP4
tal
Universitas Sumatera Utara
t
tavirus
t
tavirus
t
tavirus
20
8
28
23,9
4,1
28,0
71,4%
28,6%
100,0%
42,6%
100,0%
50,9%
27
0
27
23,1
3,9
27,0
100,0%
0,0%
100,0%
57,4%
0,0%
49,1%
47
8
55
47,0
8,0
55,0
85,5%
14,5%
100,0%
100,0%
100,0%
100,0%
Chi-Square Tests
e
uare
Correction
Sig. (2-sided)
a
1
,003
6,875
1
,009
12,119
1
,000
9,027
b
Sig. (2-sided)
est
Sig. (1-sided)
,004
s
,003
55
) have expected count less than 5. The minimum expected count is 3,93.
ly for a 2x2 table
Risk Estimate
Confidence Interval
e
er
Upper
Universitas Sumatera Utara
NSP4 =
,714
s
,565
,903
55
Crosstabs
Notes
25-JAN-2015 23:07:42
TATISTIK\bedah\IQBAL\data 25 januari
2015\data dr Iqbal 25 jan 2015.sav
orking Data File
Handling
sing
55
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for
all variables in each table.
Universitas Sumatera Utara
tNSP4 BY invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW COLUMN
UND CELL.
00:00:00,02
00:00:00,03
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
ginasi
55
Total
ent
100,0%
0
ent
0,0%
55
100,0%
katNSP4 * invaginasi Crosstabulation
invaginasi
inasi
re
tal
Universitas Sumatera Utara
5
3
8
5,1
2,9
8,0
62,5%
37,5%
100,0%
14,3%
15,0%
14,5%
30
17
47
29,9
17,1
47,0
63,8%
36,2%
100,0%
85,7%
85,0%
85,5%
35
20
55
35,0
20,0
55,0
63,6%
36,4%
100,0%
100,0%
100,0%
100,0%
t
tNSP4
asi
t
tNSP4
asi
t
tNSP4
asi
Chi-Square Tests
e
uare
rrection
Sig. (2-sided)
a
1
,942
,000
1
1,000
,005
1
,942
,005
b
Sig. (2-sided)
est
r Association
s
Sig. (1-sided)
1,000
,005
1
,617
,943
55
) have expected count less than 5. The minimum expected count is 2,91.
ly for a 2x2 table
Universitas Sumatera Utara
Risk Estimate
Confidence Interval
e
er
Upper
katNSP4 (+ / -)
,944
,200
4,450
ginasi = invaginasi
,979
,549
1,746
1,037
,392
2,740
ginasi = diare
s
55
Crosstabs
Notes
25-JAN-2015 23:12:28
TATISTIK\bedah\IQBAL\data
25
januari
2015\data dr Iqbal 25 jan 2015.sav
FILTER)
Universitas Sumatera Utara
orking Data File
Handling
35
sing
issing values are treated as missing.
ch table are based on all the cases with
valid data in the specified range(s) for all
variables in each table.
tRotavirus katNSP4 BY tipe_invaginasi
=AVALUE TABLES
ICS=CHISQ RISK
UNT EXPECTED ROW COLUMN
UND CELL.
00:00:00,03
00:00:00,02
quested
2
174734
Case Processing Summary
Cases
Valid
Missing
ent
Total
ent
ent
ipe_invaginasi
35
100,0%
0
0,0%
35
100,0%
invaginasi
35
100,0%
0
0,0%
35
100,0%
katRotavirus * tipe_invaginasi
Crosstab
Universitas Sumatera Utara
tipe_invaginasi
leal
t
tavirus
vaginasi
t
tavirus
vaginasi
t
tavirus
vaginasi
olica
aecal
colica
tal
2
14
3
4
23
2,0
13,8
3,9
3,3
23,0
8,7%
60,9%
13,0%
17,4%
100,0%
66,7%
66,7%
50,0%
80,0%
65,7%
1
7
3
1
12
1,0
7,2
2,1
1,7
12,0
8,3%
58,3%
25,0%
8,3%
100,0%
33,3%
33,3%
50,0%
20,0%
34,3%
3
21
6
5
35
3,0
21,0
6,0
5,0
35,0
8,6%
60,0%
17,1%
14,3%
100,0%
100,0%
100,0%
100,0%
100,0%
100,0%
Chi-Square Tests
ue
uare
df
a
3
,772
1,129
3
,770
,132
1
,716
1,120
r Association
s
Sig. (2-sided)
35
) have expected count less than 5. The minimum expected count is 1,03.
Risk Estimate
Universitas Sumatera Utara
ue
katRotavirus (A / -)
a
te statistics cannot be computed. They are
only computed for a 2*2 table without
empty cells.
katNSP4 * tipe_invaginasi
Crosstab
tipe_invaginasi
leal
t
tNSP4
vaginasi
t
tNSP4
vaginasi
t
tNSP4
vaginasi
olica
aecal
colica
tal
0
4
1
0
5
,4
3,0
,9
,7
5,0
0,0%
80,0%
20,0%
0,0%
100,0%
0,0%
19,0%
16,7%
0,0%
14,3%
3
17
5
5
30
2,6
18,0
5,1
4,3
30,0
10,0%
56,7%
16,7%
16,7%
100,0%
100,0%
81,0%
83,3%
100,0%
85,7%
3
21
6
5
35
3,0
21,0
6,0
5,0
35,0
8,6%
60,0%
17,1%
14,3%
100,0%
100,0%
100,0%
100,0%
100,0%
100,0%
Universitas Sumatera Utara
Chi-Square Tests
ue
uare
df
a
3
,626
2,851
3
,415
,438
1
,508
1,750
r Association
s
Sig. (2-sided)
35
) have expected count less than 5. The minimum expected count is ,43.
Risk Estimate
ue
katNSP4 (+ / -)
a
te statistics cannot be computed. They are
only computed for a 2*2 table without
empty cells.
Universitas Sumatera Utara
LAMPIRAN 6: DOKUMENTASI PENELITIAN
Gambar a. Micropipette
Gambar b. Kit Reagensia
Universitas Sumatera Utara
Gambar c. Thermal Cycler
Gambar d. Bio Safety Cabinet Level 2B
Universitas Sumatera Utara
Gambar e. Chamber Elektroforesis
Gambar f. Power Supply Elektrophoresis
Universitas Sumatera Utara
Gambar g. Gel dari Dokumentasi Sistem
Gambar h. Komputer Hasil dari Gel Dokumentasi System
Universitas Sumatera Utara
Gambar i. Nanophotometer
Gambar j. Vortex
Universitas Sumatera Utara
Lampiran 7: Keluaran Program Sequence Scanner
2014/4/24 20:50:10
Signal G:2356 A:3622 C:3011 T:2872
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:3103 A:4955 C:6372 T:6820
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4370 A:8776 C:7178 T:8330
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:2743 A:4054 C:6125 T:5409
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:3881 A:6501 C:5382 T:5861
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4920 A:6300 C:7348 T:7244
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:5084 A:7428 C:6703 T:6366
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4090 A:6365 C:8641 T:8499
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4031 A:6624 C:5378 T:5430
Universitas Sumatera Utara
Universitas Sumatera Utara
22:48:12
Signal G:77 A:98 C:127 T:108
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:772 A:1434 C:1148 T:1241
Universitas Sumatera Utara
22:48:12
Signal G:520 A:914 C:1128 T:1091
Universitas Sumatera Utara
Universitas Sumatera Utara
22:48:12
Signal G:2394 A:3853 C:3106 T:3157
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4818 A:6940 C:9300 T:9141
Universitas Sumatera Utara
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:4413 A:7339 C:5710 T:6469
Universitas Sumatera Utara
2014/4/24 22:48:12
Signal G:2978 A:4036 C:5690 T:4924
Universitas Sumatera Utara
Lampiran. Hasil aligmen sekuen nukleutida gen NSP4 rotavirus
Universitas Sumatera Utara
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
10
20
30
40
50
60
70
2D
ATGGAAAAGC TTACCGACTT CAACTACACA TTGAGTGTAA TCACTCTAAT GAACAGTACA CTACATACAA
8V
.......... ........C. .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... T......... .......... .......... .......... ..........
18
.......... ........C. .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
80
90
100
110
120
130
140
2D
TACTGGAGGA TCCAGGGATG GCGTATTTTC CCTATATTGC ATCTGTCCTA ACGGTTTTGT TCACATTGCA
8V
.......... .......... .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
150
160
170
180
190
200
210
2D
TAAAGCATCA ATTCCAACAA TGAAAATAGC GTTGAAAACG TCAAAATGTT CGTATAAAGT AGTAAAGTAT
8V
.......... .......... .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
Universitas Sumatera Utara
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
220
230
240
250
260
270
280
2D
TGTGTTGTAA CAATTTTTAA CACGTTACTG AAACTAGCAG GTTATAAAGA GCAGATAACT ACTAAAGATG
8V
.......... .......... .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
290
300
310
320
330
340
350
2D
AAATAGAAAA ACAAATGGAC AGAGTCGTTA AAGAAATGAG ACGTCAGTTG GAAATGATTG ATAAACTGAC
8V
.......... .......... .......... .......... .......... .......... ..........
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
360
370
380
390
400
410
420
2D
TACACGTGAA ATTGAGCAAG TAGAGCTACT TAAACGTATA TATGATAAAT TGATGGTGCA ATCAATTGGC
8V
.......... .......... .......... .......... .......... .......... ..........
Universitas Sumatera Utara
9
.......... .......... .......... .......... .......... .......... ..........
16
.......... .......... .......... .......... .......... .......... ..........
17
.......... .......... .......... .......... .......... .......... ..........
18
.......... .......... .......... .......... .......... .......... ..........
21
.......... .......... .......... .......... .......... .......... ..........
51
.......... .......... .......... .......... .......... .......... ..........
....|....| ....|....| ....|....| ....|....| ....|....| ....|....| ....|....|
430
440
450
460
470
480
490
2D
GAGATAGACA TGACGAAAGA AATTAATCAA AAGAACGTGA AAACGTTAGA AGAATGGGAA AGTGGAAGAA
8V
.......... .......... .......... .......... .....C.... .......... ..........
9
.......... .......... .......... .......... .....C.... .......... ..........
16
.......... .......... .......... .......... .....C.... .......... ..........
17
.......... .......... .......... .......... .....C.... .......... ..........
18
.......... .......... .......... .......... .....C.... .......... ..........
21
.......... .......... .......... .......... .....C.... .......... ..........
51
.......... .......... .......... .......... .....C.... .......... ..........
....|....| ....|....| ....|....| ....|...
500
510
520
2D
ATCCTTATGA ACCGAAAGAA GTGACTGCAG CAATGTAA
8V
.......... .......... .......... ........
9
.......... .......... .......... ........
16
.......... .......... .......... ........
17
.......... .......... .......... ........
18
.......... .......... .......... ........
21
.......... .......... .......... ........
51
.......... .......... .......... ........
Universitas Sumatera Utara
Universitas Sumatera Utara
Lampiran 8 : Bukti Jurnal Internasional
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Lampiran 9 : Keterangan Presentasi Free Paper
Universitas Sumatera Utara
Lampiran 10 : Sertifikat Free Paper
Universitas Sumatera Utara