SPSS
Analisis Univariat
Jenis Kelamin Frequency Percent
Valid Percent
Cumulative Percent
Valid Laki-laki 2 10,0 10,0 10,0
Perempuan 18 90,0 90,0 100,0
Total 20 100,0 100,0
Usia Frequency Percent
Valid Percent
Cumulative Percent
Valid Muda 19 95,0 95,0 95,0
Tua 1 5,0 5,0 100,0
Total 20 100,0 100,0
Lama Kerja Frequency Percent
Valid Percent
Cumulative Percent
Valid Baru 13 65,0 65,0 65,0
Lama 7 35,0 35,0 100,0
Total 20 100,0 100,0
Pengisian Berkas Rekam Medis Keperawatan Frequency Percent
Valid Percent
Cumulative Percent
Valid Lengkap 13 65,0 65,0 65,0
Tidak Lengkap
7 35,0 35,0 100,0
Total 20 100,0 100,0
SPSS
Analisis Bivariat
1. Jenis Kelamin * Pengisian Berkas Rekam Medis Keperawatan Crosstabulation
Count
Pengisian Berkas Rekam Medis Keperawatan
Total Lengkap
Tidak Lengkap Jenis
Kelamin
Laki-laki 0 2 2
Perempuan 13 5 18
Total 13 7 20
Chi-Square Tests
Value df
Asymptotic Significance
(2-sided)
Exact Sig. (2- sided)
Exact Sig. (1- sided)
Pearson Chi-Square 4,127a 1 ,042
Continuity Correctionb 1,563 1 ,211
Likelihood Ratio 4,628 1 ,031
Fisher's Exact Test ,111 ,111
Linear-by-Linear Association
3,921 1 ,048
N of Valid Cases 20
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is ,70.
b. Computed only for a 2x2 table
Niai 0 di pada sel di tabel akan menyeebabkan niali odds ratio akan sulit dihitung.
Ada 2 kemungkinan hasilnnya, yaitu dds ratio yang bernilai (0) atau tidak terdeefenisi. Oleh karena itu untuk mengatasi masalah ini, setiap cell pada tabel di tambah dengan nilai 0,5, jadi rumus odds ratio akan seperti ini :
Odds ratio =
=
=
= 0,081
Risk Estimate
Value
95% Confidence Interval Lower Upper For cohort Pengisian
Berkas Rekam Medis Keperawatan = Tidak Lengkap
3,600 1,709 7,582
N of Valid Cases 20
2. Usia * Pengisian Berkas Rekam Medis Keperawatan Crosstabulation
Count
Pengisian Berkas Rekam Medis Keperawatan
Total Lengkap
Tidak Lengkap
Usia Muda 13 6 19
Tua 0 1 1
Total 13 7 20
Chi-Square Tests
Value df
Asymptotic Significance
(2-sided)
Exact Sig. (2- sided)
Exact Sig. (1- sided)
Pearson Chi-Square 1,955a 1 ,162
Continuity Correctionb ,104 1 ,747
Likelihood Ratio 2,199 1 ,138
Fisher's Exact Test ,350 ,350
Linear-by-Linear Association
1,857 1 ,173
N of Valid Cases 20
a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is ,35.
b. Computed only for a 2x2 table Odds ratio =
=
=
= 6,230
Risk Estimate
Value
95% Confidence Interval Lower Upper For cohort Pengisian Berkas
Rekam Medis Keperawatan
= Tidak Lengkap
,316 ,163 ,612
N of Valid Cases 20
3. Lama Kerja * Pengisian Berkas Rekam Medis Keperawatan Crosstabulation
Count
Pengisian Berkas Rekam Medis Keperawatan
Total Lengkap
Tidak Lengkap
Lama Kerja Baru 9 4 13
Lama 4 3 7
Total 13 7 20
Chi-Square Tests
Value df
Asymptotic Significance
(2-sided)
Exact Sig. (2- sided)
Exact Sig. (1- sided)
Pearson Chi-Square ,292a 1 ,589
Continuity Correctionb ,002 1 ,961
Likelihood Ratio ,289 1 ,591
Fisher's Exact Test ,651 ,474
Linear-by-Linear Association
,278 1 ,598
N of Valid Cases 20
a. 3 cells (75,0%) have expected count less than 5. The minimum expected count is 2,45.
b. Computed only for a 2x2 table
Risk Estimate
Value
95% Confidence Interval Lower Upper Odds Ratio for Lama Kerja
(Baru / Lama)
1,688 ,251 11,336
For cohort Pengisian Berkas Rekam Medis Keperawatan
= Lengkap
1,212 ,580 2,531
For cohort Pengisian Berkas Rekam Medis Keperawatan
= Tidak Lengkap
,718 ,220 2,341
N of Valid Cases 20
