NOVRIKA DWI NINGRUM 22010111120053 Lap.KTI Bab 8

DAFTAR PUSTAKA

1. Oza S, Lawn JE, Hogan DR, Mathers C, Cousens SN. Neonatal cause-ofdeath estimates for the early and late neonatal periods for 194 countries:
2000–2013. Bulletin of the World Health Organization [Internet]. 2015
(Cited

2015

Feb

23);

93(1):

19-28.

Available

from:

http://www.who.int/bulletin/volumes/93/1/14-139790/en/

2. Badan Penelitian dan Pengembangan Kesehatan Departemen Kesehatan
Republik Indonesia. Riset Kesehatan Dasar 2007. Desember 2008. Bab
3.10. h.278-9
3. Sitohang S, Budijanto D, Hardhana B, Soenardi TA, editor. Kementerian
Kesehatan Republik Indonesia. Buku Profil Kesehatan Indonesia Tahun
2013. Jakarta: 2014. Bab 5. h.87
4. Janjindamai W, Petpisal S. Time to positivity on blood culture in newborn
infants. Southeast As J Trop Med Public Health [Internet]. 2006 (Cited 2015
July 5); 37: 171-5.
5. Unicef. Levels and Trends in Child Mortality 2014: Report 2014 Estimates
developed by the UN inter-agency group for children mortality estimation.
2014. h.15
6. Berry A, Rosenkrantz T, et al. Neonatal sepsis [Internet]. 2014 [Updated:
Feb

11;

Cited

2014


Nov

12).

Available

http://emedicine.medscape.com/article/978352-overview

53

from:

54

7. Sepsis in Neonates. Neonatal Ehandbook. [Internet] Departement of Health,
Victoria, Australia. Updated: July 16, 2014 (Cited 2014 Nov 4). Available
from:
http://www.health.vic.gov.au/neonatalhandbook/infections/sepsis.htm
8. Gupta ML. Module for training of specialist in pediatrics on newborn care:

Module-A (Management of Common Neonatal Problems).
9. Kosim MS, Yunanto A, Dewi R, Sarosa GI, Usman A. Editor (2008). Ikatan
Dokter Anak Indonesia. Buku Ajar Neonatologi. Ed. 1. Badan Penerbit
IDAI. Jakarta. 2008. h.170-185
10. Tutut S. Sepsis pada neonatus (Sepsis neonatal). Sari Pediatri [Internet].
Agustus 2000 (Cited 2014 Nov 12); Vol.2, No.2: 96-102. Available from:
http://saripediatri.idai.or.id/abstrak.asp?q=145
11. Juniatiningsih A, Aminullah A, Firmansyah A. Profil mikroorganisme
penyebab sepsis neonatorum di Departement Ilmu Kesehatan Anak RSCM.
Sari Pediatri, Vol.10, No.1. Juni 2008: 61.
12. Rini AE, Meconium stained amniotic fluid as a risk factor of early onset
neonatal sepsis [dissertation]. Semarang: Universitas Diponegoro; 2010.
13. Anderson-Berry AL. Neonatal sepsis. [Internet]. 2014 (updated 2014 feb
11;

Cited

2014

Nov


10).

Available

from:

http://emedicine.medscape.com/article/978352-overview
14. Edwards MS. Clinical feature and diagnosis of sepsis in term and late
preterm infants [Internet]. Updated: January 31, 2014. (Cited 2014 Nov 25).

55

Available from: http://www.uptodate.com/contents/clinical-features-anddiagnosis-of-sepsis-in-term-and-late-preterm-infants
15. Rodrigo I. Changing patterns of neonatal sepsis. Sri Lanka J Child Health
[Internet]. 2002 (Cited 2015 Feb 23); 31: 3-8. Available from:
http://www.sljol.info/sljol/index.php/SLJCH/article/view/795
16. Russell ARB. Neonatal sepsis. Symposium: Neonatology [Internet]. 2010 (Cited
2014 Nov 17); 265-9. Available from: ScienceDirect.


17. Aminullah A, Gatot D, Kosim MS, Rohsiswatmo R, Indarso F, Dharma R.
(2007).

Penatalaksanaan

sepsis

neonatorum.

Jakarta:

Departemen

Kesehatan Republik Indonesia, 3-80.
18. Tsai CH, Chen YY, Wang KG, Chen CY, Chen CP. Characterictic of earlyonset neonatal sepsis caused by Escherichia coli. [Internet]. 2012 (Cited
2014 Nov 25); 51(1):26-30. Available from: ScienceDirect.
19. Haque KN. Neonatal sepsis in the very low birth weight preterm infants Part
1: Review of Patho-physiology. Journal of Medical Science [Internet]. 2010
(Cited


2015

Jan

26);

3(1):

1-10.

Available

from:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891980/
20. Richard A and the Committee on fetus and Newborn. Management of
neonates with suspected or proven early-onset bacterial sepsis. Journal of
The American Academy of Pediatrics [Internet]. 2012 (Cited 2014 Dec 10);
129:


1006-1015.

Available

http://pediatrics.aappublications.org/content/129/5/1006.full

from:

56

21. Haque KN. Definitions of bloodstream infection in the newborn. Pediatric
Critical care medicine [Internet]. 2005 (Cited 2014 Niv 25 ); 6(3): S45-S49.
Available from: http://www.ncbi.nlm.nih.gov/pubmed/15857558
22. Wynn, J. L., & Wong, H. R. Pathophysiology and treatment of septic shock
in neonates. Clinics in perinatology [Internet]. 2010 (Cited 2015 jan
26);

37(2):

439-479.


Available

from:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891980/
23. Aminullah A. Masalah terkini sepsis neonatorum. Dalam: Hegar B, Trihono
PP, Irfan EB penyunting. Update in neonatal infection. Naskah lengkap
pendidikan kedokteran berkelanjutan IKA XLVIII; 13-14 Desember 2005,
Jakarta, Indonesia. Jakarta: Balai Penerbit FK UI; 2005. H. 1-13.
24. Sales-santos M, Bunye MO. The complete blood count and hematologic
finding as criteria for neonatal sepsis. Makati medical center proceeding
[Internet]. 1995 (Cited 2015 Jan 25); 40-50.
25. Kumar Y, Qunibi M, Neal TJ, Yoxall CW. Time to positivity of neonatal
blood cultures. Archives of Disease in Childhood-Fetal and Neonatal
Edition [Internet]. 2001 (Cited 2015 Jan 25); 85(3): F182-F186. Available
from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1721335/
26. Shane AL, Stoll BJ. Neonatal sepsis: Progress towards improved
outcomes. Journal of Infection [Internet]. 2014 (Cited 2014 Nov 25 ); 68:
S24-S32. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24140138


57

27. Melville JM, Moss TJ. The immune consequences of preterm
birth. Frontiers in neuroscience [Internet]. 2013 (Cited 2015 Jan 29); 7.
Available from: http://www.ncbi.nlm.nih.gov/pubmed/23734091
28. Butler, Stith A, Behrman RE. Preterm Birth: Causes, Consequences, and
Prevention. National Academies Press, 2007.
29. Gerdes JS. Diagnosis and management of bacterial infections in the
neonate. Pediatric Clinics of North America [Internet]. 2004 (Cited 2015
Jan

29);

51(4),

939-959.

Available


from:

http://www.ncbi.nlm.nih.gov/pubmed/15275982
30. Arisandi ND. Faktor risiko dan kesamaan jenis kuman jalan lahir ibu dengan
kultur darah pada sepsis neonatal awitan dini [Dissertation]. Master
Program In Biomedical Science; 2008.
31. Stoll BJ, Hansen NI, Adams-Chapman I, Fanaroff AA, Hintz SR, Vohr B,
et al. National Institute of Child Health and Human Development Neonatal
Research Network. Neurodevelopmental and growth impairment among
extremely low-birth-weight infants with neonatal infection. The Journal of
American Medical Association [Internet]. 2004 (Cited 2015 Jan 28);
292(19):

2357-2365.

Available

from:

http://jama.jamanetwork.com/article.aspx?articleid=199811

32. Stoll BJ, Hansen N, Fanaroff AA, Wright LL, Carlo WA, Ehrenkranz RA,
Poole, WK, et al. Changes in pathogens causing early-onset sepsis in verylow-birth-weight infants. New England Journal of Medicine [Internet].

58

2002

(Cited 2015 Jan 25);

347(4):

240-247. Available from:

http://www.ncbi.nlm.nih.gov/pubmed/12140299
33. Spitzer AR, Kirkby S, Kornhauser M. Practice variation in suspected
neonatal sepsis: a costly problem in neonatal intensive care. Journal of
perinatology [Internet]. 2005 (Cited 2014 Nov 11); 25(4): 265-269.
Available

from:

http://www.nature.com/jp/journal/v25/n4/full/7211252a.html
34. Onyedibe KI, Utoh-Nedosa AU, Okolo M, Onyedibe KIO, Ita OI, Udoh U.
A, Egah, DZ, et al. Impact of socioeconomic factors on neonatal sepsis in
Jos, Nigeria. Jos Journal of Medicine [Internet]. 2012 (Cited 2015 Jan 29);
6(2):

54-58.

Available

from:

http://www.ajol.info/index.php/jjm/article/view/81871
35. Fikree FF, Ali TS, Durocher JM, Rahbar MH. Newborn care practices in
low socioeconomic settlements of Karachi, Pakistan. Social science &
medicine [Internet]. 2005 (Cited 2015 Jan 29); 60(5): 911-921. Avaiable
from:
http://www.sciencedirect.com/science/article/pii/S0277953604003193
36. Klinger G, Levy I, Sirota L, Boyko V, Reichman B, Lerner-Geva L, Israel.
Neonatal network epidemiology and risk factors for early onset sepsis
among very-low-birthweight infants. American journal of obstetrics and
gynecology [Internet]. 2009 (Cited 2014 Nov 25); 201(1): 38-e1. Available
from: http://www.ajog.org/article/S0002-9378%2809%2900240-3/abstract

59

37. Carolus W, Rompis J, & Wilar R. Hubungan Apgar skor dan berat badan
lahir dengan sepsis neonatorum. e-CliniC [Internet]. 2013 (Cited 2014 Dec
4);

1(2).

Available

from:

http://ejournal.unsrat.ac.id/index.php/eclinic/article/view/3271/2815
38. Roeslani RD, Amir I, Nasrulloh MH, Suryani. Penelitian Awal: faktor
risiko pada sepsis neonatorum awitan dini. Sari Pediatri [Internet]. 2013
(Cited 2015 Feb 6); 14(6): 363-8. Available from:
http://saripediatri.idai.or.id/abstrak.asp?q=872
39. Sastroasmoro S, Ismael S. Dasar-dasar metodologi penelitian klinis. Edisi
4 – cetakan keempat. Jakarta: Sagung Seto; 2011.
40. Dahlan, M Sopiyudin. Statistik untuk kedokteran dan kesehatan:
deskriptif, bivariat dan multivariat. Edisi 5 – cetakan ketiga. Jakarta:
Salemba Medika; 2013.
41. Khair K, Rahman MA, Sultana T, Roy CK, Rahman MQ, Shaidullah M,
dkk. Role of hematologic scoring system in early diagnosis of neonatal
septicemia. BSSMU J [Internet]. 2010 (Cited 2015 Jun 21); 3:62-7.
42. Yuliana N, Usman A. Sensitivitas dan spesifitas pemeriksaan leukosit dan
trombosit pada sepsis neonatorum di RSUP Dr. Hasan Sadikin Bandung
periode Juli-Desember 2006. Dalam: Sadjimin T, Juffrie M, Julia M,
Wibowo T, penyunting. Buku Abstrak PIT IKA III-IDAI Yogyakarta:
IDAI; 2007. h.27.

60

43. Utomo Mt. Risk factor of neonatal sepsis: A preliminary study in Dr.
Soetomo Hospital. Indonesian Journal of Tropical and Infectious Disease.
Vol.1, No.1. January-April 2010: 25-6.
44. Putra PJ. Insiden dan faktor-faktor yang berhubungan dengan sepsis
neonatus di RSUP Sanglah. Sari Pediatri, Vol. 14, No.3. Oktober
2015:207.
45. Scharg SJ, Hadler JI, Arnold KE. Risk factors for invasive, early onset
Eschericia coli infection in the era of wide spread intrapartum antibiotic
use. Pediatrics 118 [Internet]. 2006 (Cited 2015 Jun 21): 570-6.
46. Simbolon D. Faktor risiko sepsis pada bayi baru lahir di RSND Curup
Kab. Rejang Lebong. Diunduh dari:
http://isjd.pdii.lipi.go.id/admin/jurnal/36308127134_0125-9695.pdf
Diakses: 21 Juni 2015
47. Dawodu A, Al Umran K, Twum-Danso K. A case control study of
neonatal sepsis: Experience from Saudi Arabia. Journal of Tropical
Pediatrics, Oxford Journal [Internet]. 1997 (Cited 2015 Jun 21); 43(2):848.
48. Yumei Li, Wenli Zhou, Jiantao Zhang, Chaoying Yan. Clinical analyses
of neonatal sepsis caused by Listeria monocytogene. Human Health and
Biomedical Engineering (HHBE) [Internet]. 2011 (Cited 2015 Jun 21):
388-90.
49. Bizzarro MJ, Shabanova V, Baltimore RS, Dembry LM, Ehrenkranz RA,
Gallagher PG. Neonatal sepsis 2004-2013: the rise and fall of coagulase-

61

negative staphylococci. Pubmed [Internet]. 2015 (Cited 2015 Jun 25);
166(5): 1193-9. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/25919728
50. Orlando Regional Health Care, Education and Development. Neonatal
sepsis self learning pocket 2002. Diunduh dari:
http://www.orhs.org/clasees/nursing/sepsis02pdf. Diakses 21 Juni 2015.

62

LAMPIRAN 1. ETHICHAL CLEARANCE

63

LAMPIRAN 2. SURAT IZIN PENELITIAN

64

LAMPIRAN 3. Hasil analisis SPSS
TABEL 6
JenisKelamin * SNAW Crosstabulation
SNAW
tidak sepsis
Count

Total
sepsis

22

21

43

21,5

21,5

43,0

28

29

57

28,5

28,5

57,0

50

50

100

50,0

50,0

100,0

laki-laki
Expected Count
JenisKelamin
Count
perempuan
Expected Count
Count
Total
Expected Count

Chi-Square Tests
Value

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig. (1-

sided)

sided)

sided)

,041a

1

,840

Continuity Correctionb

,000

1

1,000

Likelihood Ratio

,041

1

,840

Pearson Chi-Square

Fisher's Exact Test

1,000

Linear-by-Linear Association

,040

N of Valid Cases

100

1

,841

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 21,50.
b. Computed only for a 2x2 table

,500

65

MetodePersalinan * SNAW Crosstabulation
SNAW
tidak sepsis
Count

Total
sepsis

29

22

51

25,5

25,5

51,0

21

28

49

24,5

24,5

49,0

50

50

100

50,0

50,0

100,0

pervaginam
Expected Count
MetodePersalinan
Count
SCTP
Expected Count
Count
Total
Expected Count

Chi-Square Tests
Value

Pearson Chi-Square
Continuity

Correctionb

Likelihood Ratio

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig.

sided)

sided)

(1-sided)

1,961a

1

,161

1,441

1

,230

1,967

1

,161

Fisher's Exact Test
Linear-by-Linear Association
N of Valid Cases

,230
1,941

1

,164

100

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 24,50.
b. Computed only for a 2x2 table

,115

66

TABEL 7

Descriptives
SNAW

Statistic
Mean

28,80
Lower Bound

26,62

Upper Bound

30,98

Std. Error
1,084

95% Confidence Interval for Mean
5% Trimmed Mean

28,59

Median

28,50

Variance
tidak sepsis

58,735

Std. Deviation

7,664

Minimum

16

Maximum

46

Range

30

Interquartile Range

11

Skewness

,439

,337

Kurtosis

-,371

,662

Mean

29,78

,938

UsiaIbu
Lower Bound

27,89

Upper Bound

31,67

95% Confidence Interval for Mean
5% Trimmed Mean

29,88

Median

30,00

Variance
sepsis

Std. Deviation

44,012
6,634

Minimum

15

Maximum

42

Range

27

Interquartile Range

10

Skewness

-,118

,337

Kurtosis

-,639

,662

67

Tests of Normality
Kolmogorov-Smirnova

SNAW

Statistic
tidak sepsis

df

,078

Sig.

,102

Statistic

df

Sig.

50

,200*

,966

50

,157

50

,200*

,980

50

,572

UsiaIbu
sepsis

Shapiro-Wilk

*. This is a lower bound of the true significance.
a. Lilliefors Significance Correction

Independent Samples Test
Levene's Test for

t-test for Equality of Means

Equality of
Variances
F

Sig.

t

df

Sig. (2-

Mean

Std. Error

95% Confidence

tailed)

Difference

Difference

Interval of the
Difference
Lower

Equal

,557

variances

,457

-

Upper

98

,496

-,980

1,434

-3,825

1,865

- 96,028

,496

-,980

1,434

-3,825

1,865

,684

assumed
UsiaIbu
Equal
variances
assumed

not

,684

68

Crosstab
SNAW
tidak sepsis
Count
tidak diketahui

8

16

8,0

8,0

16,0

50,0%

50,0%

100,0%

Count

11

8

19

Expected Count

9,5

9,5

19,0

57,9%

42,1%

100,0%

8

10

18

9,0

9,0

18,0

44,4%

55,6%

100,0%

20

19

39

19,5

19,5

39,0

51,3%

48,7%

100,0%

3

5

8

4,0

4,0

8,0

37,5%

62,5%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

Expected Count

% within PendidikanIbu
Count
PendidikanIbu

SMP

Expected Count
% within PendidikanIbu
Count

SMA

Expected Count
% within PendidikanIbu
Count

Diploma/Sarjana

Expected Count
% within PendidikanIbu
Count

Total

Expected Count
% within PendidikanIbu

Test Statisticsa
PendidikanIbu

Most Extreme Differences

Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Grouping Variable: SNAW

sepsis

8

% within PendidikanIbu

SD

Total

Absolute

,060

Positive

,060

Negative

,000
,300
1,000

69

Crosstab
SNAW
tidak sepsis
Count
pelajar/mahasiswa

3

4

2,0

2,0

4,0

25,0%

75,0%

100,0%

34

29

63

31,5

31,5

63,0

54,0%

46,0%

100,0%

0

2

2

1,0

1,0

2,0

0,0%

100,0%

100,0%

12

12

24

12,0

12,0

24,0

50,0%

50,0%

100,0%

3

3

6

3,0

3,0

6,0

50,0%

50,0%

100,0%

Count

0

1

1

Expected Count

,5

,5

1,0

0,0%

100,0%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

Expected Count

Count
Expected Count
% within PekerjaanIbu
Count
petani

sepsis

1

% within PekerjaanIbu

ibu rumah tangga

Total

Expected Count
% within PekerjaanIbu

PekerjaanIbu
Count
karyawan swasta

Expected Count
% within PekerjaanIbu
Count

wiraswasta

Expected Count
% within PekerjaanIbu

PNS

% within PekerjaanIbu
Count
Total

Expected Count
% within PekerjaanIbu

Test Statisticsa
PekerjaanIbu

Most Extreme Differences

Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a. Grouping Variable: SNAW

Absolute

,060

Positive

,060

Negative

-,040
,300
1,000

70

TABEL 8

Crosstab
SNAW
tidak sepsis
Count
tidak ada

sepsis

39

40

79

39,5

39,5

79,0

49,4%

50,6%

100,0%

11

10

21

10,5

10,5

21,0

52,4%

47,6%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

Expected Count
% within KPD

Total

KPD
Count
ada

Expected Count
% within KPD
Count

Total

Expected Count
% within KPD

Chi-Square Tests
Value

Pearson Chi-Square
Continuity

Correctionb

Likelihood Ratio

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig. (1-

sided)

sided)

sided)

,060a

1

,806

,000

1

1,000

,060

1

,806

Fisher's Exact Test

1,000

Linear-by-Linear Association

,060

N of Valid Cases

100

1

,807

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 10,50.
b. Computed only for a 2x2 table

Risk Estimate
Value

95% Confidence Interval
Lower

Upper

Odds Ratio for KPD (tidak ada / ada)

,886

,338

2,323

For cohort SNAW = tidak sepsis

,942

,592

1,500

1,063

,646

1,751

For cohort SNAW = sepsis
N of Valid Cases

100

,500

71

TABEL 9
Crosstab
SNAW
tidak sepsis
Count
tidak ada

Total
sepsis

50

49

99

49,5

49,5

99,0

50,5%

49,5%

100,0%

Count

0

1

1

Expected Count

,5

,5

1,0

0,0%

100,0%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

Expected Count
% within InfeksiSaatHamil

InfeksiSaatHamil
ada

% within InfeksiSaatHamil
Count
Total

Expected Count
% within InfeksiSaatHamil

Chi-Square Tests
Value

Pearson Chi-Square
Continuity

Correctionb

Likelihood Ratio

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig. (1-

sided)

sided)

sided)

1,010a

1

,315

,000

1

1,000

1,396

1

,237

Fisher's Exact Test

1,000

Linear-by-Linear Association

1,000

N of Valid Cases

1

,317

100

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

Risk Estimate
Value

95% Confidence Interval
Lower

For cohort SNAW = sepsis

,495

N of Valid Cases

100

,406

Upper
,604

,500

72

TABEL 10

Crosstab
SNAW
tidak sepsis
Count
kurang

sepsis

42

40

82

41,0

41,0

82,0

51,2%

48,8%

100,0%

8

10

18

9,0

9,0

18,0

44,4%

55,6%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

Expected Count
% within Sosek

Total

Sosek
Count
cukup

Expected Count
% within Sosek
Count

Total

Expected Count
% within Sosek

Chi-Square Tests
Value

Pearson Chi-Square
Continuity

Correctionb

Likelihood Ratio

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig. (1-

sided)

sided)

sided)

,271a

1

,603

,068

1

,795

,271

1

,602

Fisher's Exact Test

,795

Linear-by-Linear Association

,268

N of Valid Cases

100

1

,604

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

Risk Estimate
Value

95% Confidence Interval
Lower

Upper

Odds Ratio for Sosek (kurang / cukup)

1,313

,471

3,660

For cohort SNAW = tidak sepsis

1,152

,660

2,014

For cohort SNAW = sepsis

,878

,549

1,403

N of Valid Cases

100

,398

73

TABEL 11

Crosstab
SNAW
tidak sepsis
Count
tidak ada

Expected Count
% within GawatJanin

Total
sepsis

49

48

97

48,5

48,5

97,0

50,5%

49,5%

100,0%

1

2

3

1,5

1,5

3,0

33,3%

66,7%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

GawatJanin
Count
ada

Expected Count
% within GawatJanin
Count

Total

Expected Count
% within GawatJanin

Chi-Square Tests
Value

Pearson Chi-Square
Continuity

Correctionb

Likelihood Ratio

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig. (1-

sided)

sided)

sided)

,344a

1

,558

,000

1

1,000

,350

1

,554

Fisher's Exact Test

1,000

Linear-by-Linear Association

,340

N of Valid Cases

100

1

,560

a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 1,50.
b. Computed only for a 2x2 table

Risk Estimate
Value

95% Confidence Interval
Lower

Upper

Odds Ratio for GawatJanin (tidak ada / ada)

2,042

,179

23,266

For cohort SNAW = tidak sepsis

1,515

,302

7,600

For cohort SNAW = sepsis

,742

,325

1,694

N of Valid Cases

100

,500

74

TABEL 12

Crosstab
SNAW
tidak sepsis
Count
BBLR

sepsis

29

31

60

30,0

30,0

60,0

48,3%

51,7%

100,0%

21

19

40

20,0

20,0

40,0

52,5%

47,5%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

Expected Count
% within BBL

Total

BBL
Count
BBLSR

Expected Count
% within BBL
Count

Total

Expected Count
% within BBL

Chi-Square Tests
Value

Pearson Chi-Square
Continuity

Correctionb

Likelihood Ratio

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig. (1-

sided)

sided)

sided)

,167a

1

,683

,042

1

,838

,167

1

,683

Fisher's Exact Test

,838

Linear-by-Linear Association

,165

N of Valid Cases

100

1

,685

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 20,00.
b. Computed only for a 2x2 table

Risk Estimate
Value

95% Confidence Interval
Lower

Upper

Odds Ratio for BBL (BBLR / BBLSR)

,846

,380

1,885

For cohort SNAW = tidak sepsis

,921

,621

1,365

1,088

,724

1,635

For cohort SNAW = sepsis
N of Valid Cases

100

,419

75

TABEL 13

Crosstab
SNAW
tidak sepsis
Count
tidak rendah

sepsis

25

14

39

19,5

19,5

39,0

64,1%

35,9%

100,0%

25

36

61

30,5

30,5

61,0

41,0%

59,0%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

Expected Count
% within SkorApgar_1

Total

SkorApgar_1
Count
rendah

Expected Count
% within SkorApgar_1
Count

Total

Expected Count
% within SkorApgar_1

Chi-Square Tests
Value

Pearson Chi-Square
Continuity

Correctionb

Likelihood Ratio

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig. (1-

sided)

sided)

sided)

5,086a

1

,024

4,203

1

,040

5,140

1

,023

Fisher's Exact Test
Linear-by-Linear Association
N of Valid Cases

,040
5,035

1

,025

100

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 19,50.
b. Computed only for a 2x2 table

Risk Estimate
Value

95% Confidence Interval
Lower

Upper

Odds Ratio for SkorApgar_1 (tidak rendah / rendah)

2,571

1,122

5,895

For cohort SNAW = tidak sepsis

1,564

1,068

2,291

For cohort SNAW = sepsis

,608

,381

,972

N of Valid Cases

100

,020

76

TABEL 14

Crosstab
SNAW
tidak sepsis
Count
tidak rendah

sepsis

39

29

68

34,0

34,0

68,0

57,4%

42,6%

100,0%

11

21

32

16,0

16,0

32,0

34,4%

65,6%

100,0%

50

50

100

50,0

50,0

100,0

50,0%

50,0%

100,0%

Expected Count
% within SkorApgar_5

Total

SkorApgar_5
Count
rendah

Expected Count
% within SkorApgar_5
Count

Total

Expected Count
% within SkorApgar_5

Chi-Square Tests
Value

Pearson Chi-Square
Continuity

Correctionb

Likelihood Ratio

df

Asymp. Sig. (2-

Exact Sig. (2-

Exact Sig. (1-

sided)

sided)

sided)

4,596a

1

,032

3,722

1

,054

4,654

1

,031

Fisher's Exact Test
Linear-by-Linear Association
N of Valid Cases

,053
4,550

1

,033

100

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 16,00.
b. Computed only for a 2x2 table

Risk Estimate
Value

95% Confidence Interval
Lower

Upper

Odds Ratio for SkorApgar_5 (tidak rendah / rendah)

2,567

1,072

6,150

For cohort SNAW = tidak sepsis

1,668

,991

2,808

For cohort SNAW = sepsis

,650

,448

,943

N of Valid Cases

100

,026

77

ANALISIS MULTIVARIAT

Variables in the Equation
B

S.E.

Wald

df

Sig.

Exp(B)

95% C.I.for
EXP(B)
Lower

Step
1a

SkorApgar_1(1)

-,649

,500

1,687

1

,194

,523

,196

1,391

SkorApgar_5(1)

-,578

,526

1,206

1

,272

,561

,200

1,573

,647

,372

3,018

1

,082

1,909

-,944

,423

4,978

1

,026

,389

,170

,892

,365

,260

1,962

1

,161

1,440

Constant
Step
2a

Upper

SkorApgar_1(1)
Constant

a. Variable(s) entered on step 1: SkorApgar_1, SkorApgar_5.

Model if Term Removed
Variable

Model Log

Change in -2 Log

Likelihood

Likelihood

df

Sig. of the Change

SkorApgar_1

-66,988

1,704

1

,192

SkorApgar_5

-66,745

1,218

1

,270

SkorApgar_1

-69,315

5,140

1

,023

Step 1
Step 2

Variables not in the Equation
Score
Step 2a

Variables

SkorApgar_5(1)

Overall Statistics
a. Variable(s) removed on step 2: SkorApgar_5.

df

Sig.

1,215

1

,270

1,215

1

,270

78

LAMPIRAN 4. DOKUMENTASI

79

LAMPIRAN 5. BIODATA PENULIS
Nama

: Novrika Dwi Ningrum

NIM

: 22010111120053

Tempat/Tanggal lahir : Purwakarta/ 28 November 1993
Jenis Kelamin

: Perempuan

Alamat

: Jalan Taman Pahlawan No. 24 Purwakarta

Nomor Telepon/HP

: 085659911099

Email

: novrikadwiningrum@yahoo.co.id

RIWAYAT PENDIDIKAN FORMAL
1. TK : TK PURNAMA PURWAKARTA (1998-2000)
2. SD : SDN 1 NAGRIKALER PURWAKARTA (2000-2006)
3. SMP : SMPN 1 PURWAKARTA (Lulus Tahun: 2008)
4. SMA : SMAN 1 PURWAKARTA (Lulus Tahun: 2011)
5. FK UNDIP (Masuk Tahun: 2011)
KEANGGOTAAN ORGANISASI
1. PASKIBRA SDN 1 NAGRIKALER PURWAKARTA 2004-2006
2. PASKIBRA SMPN 1 PURWAKARTA 2006-2008
3. PMR SMPN 1 PURWAKARTA 2007-2008
4. PASKIBRA SMAN 1 PURWAKARTA 2009-2010
5. MPK SMAN 1 PURWAKARTA 2009-2010
6. BEM FK UNDIP Departemen Hubungan Luar 2012
7. BEM FK UNDIP Departemen Hubungan Luar 2013