Analisis Spasial Kasus Demam Berdarah Dengue (Dbd) Di Kecamatan Simo Kabupaten Boyolali

Febri Murnawi, Fitria and , Jumadi, S.Si. M.Sc. Ph.D (2021) Analisis Spasial Kasus Demam Berdarah Dengue (Dbd) Di Kecamatan Simo Kabupaten Boyolali. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

In 2012, WHO declared dengue as the most important mosquito virus disease in the world. Indoensia is the top ten of countries with the dengue case. In 2018, CFR in Central Java was ranked 12 out of 34 provinces. Boyolali is the one of the areas prone to DHF. Simo district is the one of the sub districts in Boyolali that has high dengue cases with IR 42,9 per 100.000 people in 2016 and 26.12 per 100.000 people in 2017. The IR was high because it exceeded 20 per 100.000 people. The number of DHF cases in Simo was 22 in 2016, then 15 in 2017 and 2018, and which then became 62 cases in 2019. DHF is an environmentally based disease, so modeling DHF cases using environmental variabels as predictor variables is very important to consider. Spatial statistical modeling using ArcGis can facilitate analyzing the relationship between environmental factors and DHF in Simo. Ordinary least square or OLS modeling is the most common method in various research fields. On the other hand, the geographically weighted regression or GWR method is a development of the OLS method which has the advantage of regressing based on the location of observation. Modeling with GWR produces different coefficient value at each location. The purpose of this study is to analyze the distribution pattern of DHF in Simo and to analyze the relationship between environmental factors and DHF cases in Simo. The methods used a nearest neighbor analysis, OLS, and GWR. The result showed that the DHF cases in 2019 in Simo were clustered. This study also found that environmental factors (population density, altitude, and temperature) can explain 58 percent of DHF cases in Simo, while the remaining 42 percent is explained by factors outside the variables in this study.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	Average Nearest Neighbor, Dengue Hemmorhagic Fever, Geographically Weighted Regression, Ordinary Least Square
Subjects:	G Geography. Anthropology. Recreation > G Geography (General)
Divisions:	Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi
Depositing User:	FITRIA FEBRI MURNAWI
Date Deposited:	16 Aug 2021 07:35
Last Modified:	16 Aug 2021 07:36
URI:	http://eprints.ums.ac.id/id/eprint/93439

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