METODE SPATIAL DURBIN MODEL UNTUK ANALISIS DEMAM BERDARAH DENGUE DI KABUPATEN BANTUL

https://doi.org/10.22146/jntt.64246

Marthin Luter Laia(1*), Rahmat Deswanto(2), Erma Shofi Utami(3), Rokhana Dwi Bekti(4)

(1) Institut Sains Teknologi AKPRIND Yogyakarta
(2) Institut Sains Teknologi AKPRIND Yogyakarta
(3) Institut Sains Teknologi AKPRIND Yogyakarta
(4) Institut Sains Teknologi AKPRIND Yogyakarta
(*) Corresponding Author

Abstract


Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus which is transmitted through the bite of the Aedes aegepty and Aedes albopictus mosquitoes which are widespread in homes and public places throughout the territory of Indonesia. The high number of DHF cases in Bantul Regency, Indonesia is an indication that eradication of Aedes aegepty mosquitoes and Aedes albopictus mosquitoes has not succeeded in the Bantul Regency. Spatial Regression is an analysis that evaluates the relationship between one variable with several other variables by providing spatial effects in several locations that are the center of observation. Three type of models are Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), and Spatial Durbin Model (SDM). This study uses secondary data in 2017 in Bantul Regency, Special Region of Yogyakarta, Indonesia. The dependent variable is DHF cases and the independent variables are medical personnel and health facilities in each sub-district. The spatial model used is SDM. Based on Moran’s I test, there was a spatial autocorrelation about DHF among sub-district, so the spatial model can be used. The durbin spatial model gives the result that all estimation parameters in SDM model have  P value less than α = 5%, so that medical personnel and health facilities significantly affect dengue cases in Bantul Regency.

 

Keywords: dengue hemorrhagic fever, moran’s I test, spatial durbin model.

 


Keywords


Spatial Durbin, Geografi, Demam berdarah dengue

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References

Anselin, L. (2001). Spatial econometrics. A companion to theoretical econometrics, 310330. Candra, A. (2010). Demam Berdarah Dengue: Epidemiologi, Patogenesis, dan Faktor Risiko Penularan. ASPIRATOR-Jurnal Penelitian Penyakit Tular Vektor (Journal of Vector-borne Diseases Studies), 2(2). Huang, C.-C., Tam, T., Chern, Y.-R., Lung, S.-C., Chen, N.-T., & Wu, C.-D. (2018). Spatial clustering of dengue fever incidence and its association with surrounding greenness. International journal of environmental research and public health, 15(9), 1869. Kusuma, A. P., & Sukendra, D. M. (2016). Analisis Spasial Kejadian Demam Berdarah Dengue Berdasarkan Kepadatan Penduduk. Unnes Journal of Public Health, 5(1), 48-56. Rahman, S. A., Rahim, A., & Mallongi, A. (2018). Risk analysis of dengue fever occurrence in bone province sulawesi south using temporal spatial geostatistical model. Indian Journal of Public Health Research & Development, 9(4), 221-226. Sintorini, M. M. (2007). Pengaruh iklim terhadap kasus demam berdarah dengue. Kesmas: National Public Health Journal, 2(1), 11-18. Suryowati, K., Bekti, R., & Faradila, A. (2018). A Comparison of Weights Matrices on Computation of Dengue Spatial Autocorrelation. Paper presented at the IOP Conference Series: Materials Science and Engineering. Suyasa, I. G., Putra, N. A., & Aryanta, I. R. (2008). Hubungan faktor lingkungan dan perilaku masyarakat dengan keberadaan vektor demam berdarah dengue (DBD) di wilayah kerja puskesmas I Denpasar Selatan. ECOTROPHIC: Jurnal Ilmu Lingkungan (Journal of Environmental Science), 3(1). Triliani, S. E., & Bekti, R. D. (2017). SPATIAL DURBIN MODEL UNTUK MENGIDENTIFIKASI FAKTOR-FAKTOR YANG MEMPENGARUHI PENGANGGURAN DI PROVINSI JAWA TENGAH. Jurnal Statistika Industri dan Komputasi, 2(02), 93-103. Waris, L., & Yuana, W. T. (2013). Pengetahuan dan perilaku masyarakat terhadap demam berdarah dengue di kecamatan batulicin kabupaten tanah bumbu provinsi Kalimantan Selatan. Jurnal Buski, 4(3).



DOI: https://doi.org/10.22146/jntt.64246

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