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Kajian Pola Penggunaan Antibiotik Profilaksis Hubungannya Dengan Angka Kejadian Infeksi Daerah Operasi (IDO) Pada Pasien Bedah Digestif Di Rumah Sakit Swasta Kiki Amelia; Ros Sumarny; Delina Hasan; Hafidh Komar
Jurnal Penelitian Sains Vol 21, No 1 (2019)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (138.792 KB) | DOI: 10.56064/jps.v21i1.527

Abstract

Abstract: Prophylaxis antibiotics are given to prevent surgical site infection (SSI). This study aimed to examine the pattern of the use of prophylaxis antibiotics on the incidence and SSI risk factors. This study was an observational analytic study with a cross sectional design. SSI observation was directly observed in postoperative wounds, the first in the treatment room at the time of dressing change, the second observation was carried out in the surgical clinic at the time of repeated control. The total sample during the study period was 57. The results of this study showed the incidence of SSI in digestive surgery patients was 17.5% (10 out of 57 samples). The most widely used prophylaxis antibiotics ware the third generation cephalosporin group ceftriaxone (96,5%)
PENGARUH MODEL PEMBELAJARAN SINEKTIK TERHADAP KEMAMPUAN MENULIS PUISI SISWA SMP PATRA MANDIRI 2 Kiki Amelia; Hetilaniar Hetilaniar; Masnunah Masnunah
Wahana Didaktika : Jurnal Ilmu Kependidikan Vol. 18 No. 3 (2020): Wahana Didaktika Jurnal Ilmu Kependidikan
Publisher : Faculty of teaching training and education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/wahanadidaktika.v18i3.4623

Abstract

AbstrakTujuan penelitian ini untuk mengetahui adanya pengaruh model pembelajaran sinektik terhadap kemampuan menulis puisi siswa kelas VIII SMP Patra Mandiri 2 Palembang. Metode penelitian yang digunakan yaitu metode True Eksperimental  Design Tipe Posstest Only Control Design. Teknik analisis data yang digunakan adalah teknik tes dan dokumentasi. Hasil Penelitian terhadap kemampuan menulis puisi siswa kelas VIII SMP Patra mandiri 2 Palembang. Hasil nilai perhitungan data belajar siswa menggunakan uji-t (T Test dari Anova) yang terdapat pada sebuah program SPSS versi 19. Menunjukkan bahwa yang berarti jika nilai Sig > 0,05 maka distribusi data homogen, dan jika nilai Sig < 0,05 maka distribusi data tidak homogen. Hasil perhitungan nilai signifikan diatas nilai yang diperoleh ternyata uji-t 0,54 > 0,05. Berarti nilai Sig > 0,05 maka peneliti menyimpulkan bahwa “Ada Pengaruh Model Pembelajaran Sinektik Terhadap Kemampuan Menulis Puisi Siswa Kelas VIII SMP Patra mandiri 2 Palembang”. Kata Kunci : Model Pembelajaran Sinektik, Menulis Puisi
PEMODELAN INCIDENT RATE DEMAM BERDARAH DENGUE DI INDONESIA YANG BERKAITAN DENGAN FAKTOR LINGKUNGAN MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) Kiki Amelia; Latifa Oktafiani Asril; Lasmi Febrianti
EKOLOGIA Vol 20, No 2 (2020): EKOLOGIA : JURNAL ILMIAH ILMU DASAR DAN LINGKUNGAN HIDUP
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/ekologia.v20i2.2167

Abstract

Dengue hemorrhagic fever cases in Indonesia often occur in cities and villages. Every year hundreds to thousands of people must be hospitalized due to this disease. There are several factors of the physical environment that directly or indirectly influence the transmission of this disease. Such as rainfall, air temperature, and humidity. In addition to the physical environment there are several other factors that can increase the occurrence of dengue cases, namely population density and the level of larvae free in an area. For this reason, we conducted a study of the above factors and their contribution in the addition of dengue cases that occurred in Indonesia in 2015 using secondary data. The purpose of this study is to identify and make a BDB iricident rate model related to environmental factors such as temperature, humidity, population density, and the amount of rainfall on the number of cases of dengue hemorrhagic fever in Indonesia in 2015. The method used is the Geographically Weighted Regression method. (GWR). In the GWR model the parameter estimation uses Weighted Least Square (WLS) by weighting the gaussian kernel function. The results of the study concluded that modeling with GWR was better than linear regression and the variables were significantly different in each region.
PEMODELAN INCIDENT RATE DEMAM BERDARAH DENGUE DI INDONESIA YANG BERKAITAN DENGAN FAKTOR LINGKUNGAN MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) Kiki Amelia; Latifa Oktafiani Asril; Lasmi Febrianti
Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Vol 20, No 2 (2020): Ekologia : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/ekologia.v20i2.2167

Abstract

Dengue hemorrhagic fever cases in Indonesia often occur in cities and villages. Every year hundreds to thousands of people must be hospitalized due to this disease. There are several factors of the physical environment that directly or indirectly influence the transmission of this disease. Such as rainfall, air temperature, and humidity. In addition to the physical environment there are several other factors that can increase the occurrence of dengue cases, namely population density and the level of larvae free in an area. For this reason, we conducted a study of the above factors and their contribution in the addition of dengue cases that occurred in Indonesia in 2015 using secondary data. The purpose of this study is to identify and make a BDB iricident rate model related to environmental factors such as temperature, humidity, population density, and the amount of rainfall on the number of cases of dengue hemorrhagic fever in Indonesia in 2015. The method used is the Geographically Weighted Regression method. (GWR). In the GWR model the parameter estimation uses Weighted Least Square (WLS) by weighting the gaussian kernel function. The results of the study concluded that modeling with GWR was better than linear regression and the variables were significantly different in each region.