Jurnal Biometrika dan Kependudukan
ISSN 2302707X
Vol. 3 / No. 2 / Published : 2014-12
Order : 8, and page :151 - 159
Related with : Scholar Yahoo! Bing
Original Article :
Analisis spasial faktor determinan incident rate difteri
Author :
- Puguh Saneko*1
- Arief Wibowo *2
- Soenarnatalina Melaniani*3
- Mahasiswa Fakultas Kesehatan Masyarakat
- Dosen Fakultas Kesehatan Masyarakat
- Dosen Fakultas Kesehatan Masyarakat
Abstract :
ABSTRACT Ordinary Least Square (OLS) regression is ineffective when problem of residual assumptions is found. It indicate the existence of spatial effect. The solution is the use of spatial analysis. Spatial Durbin Models (SDM) is a special case in spatial autoregressive model, when spatial lag effect is found in the dependent and independent variable. It was developed because at the many cases, the spatial dependencies not only in the dependent variable, but also independent variable. The objective of study to analyze determinant factors of diphtheria’s incidence in Jombang regency in 2012 through spatial modeling. The study was conducted at 34 working area of public health centre in Jombang regency. Data was collected from Jombang regency health profile in 2012. Modelling of the relationship between dependent variable and independent variable in the Ordinary Least Square (OLS), Spatial Auto regressive Models (SAR), Spatial Error Models (SEM) and Spatial Durbin Models (SDM). The models was compared to find the best model. The results showed the spatial durbin models (SDM) is the best model on determinant factor analysis of incident rate diphtheria in Jombang regency, with lowest AIC value and LR test results showed simultaneous independent variables affect the dependent variable at α 5%. Determinant factor of incident rate difteri is proportion of age, proportion of nutritional status, ratio of imunization target and officers, residential density. Keyword: spatial, spatial durbin models, diphtheria
Keyword :
spatial, spatial durbin models, diphtheria,
References :
Devi, M,(2010) Analisis Faktor-faktor yang Berpengaruh Terhadap Status Gizi Balita di Pedesaan, Vol 33, No 2, September 2010, p: 183–192 : Teknologi dan Kejuruan,
Gujarati, N.D.,(2003) Basic Econometrics. 4 ed. New York : McGraw-Hill Companies, Inc. th
Kartono B., Purwana R., Djaja I.M.,(2008) Hubungan Lingkungan Rumah Dengan Kejadian Difteri Pada Kejadian Luar Biasa (KLB) Difteri Di Kabupaten Tasikmalaya Tahun 2005–2006 dan Di Kabupaten Garut Bulan Januari Tahun 2007 Volume 12 No 1, Juni 2008, hal 8–12 : Makara Kesehatan
Lee, J. dan Wong, D. W. S,(2001) Statistical Analysis with Arcview GIS New York : John Wiley and Sons
Pracoyo, N.E., Roselinda,(2013) Survei Titer Anti Bodi Anak Sekolah Usia 6–17 Tahun di Daerah Klb Difteri Dan Non Klb Di Indonesia Vol. 41, No. 4, 2013 p: 237–247 : Buletin Penelitian Kesehatan
Archive Article
Cover Media | Content |
---|---|
![]() Volume : 3 / No. : 2 / Pub. : 2014-12 |
|