Analisis Spasial Persebaran Penderita Hepatitis A Menggunakan Indeks Moran dan LISA (Local Indicator of Spatial Association) (Studi Kasus Kecamatan Sudimoro Kabupaten Pacitan Tahun 2019)

Nurdiansyah, Robbi and , Drs. Priyono, M.Si (2020) Analisis Spasial Persebaran Penderita Hepatitis A Menggunakan Indeks Moran dan LISA (Local Indicator of Spatial Association) (Studi Kasus Kecamatan Sudimoro Kabupaten Pacitan Tahun 2019). Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Hepatitis A is an infectious disease of the liver caused by the hepatitis A virus (HAV). This virus can be spread from human to human by oral-fecal route, consuming food contaminated with HAV and using drugs that are injected into the veins of people with HAV. The risk factors for Hepatitis A can be viewed from 3 causes, including; 1) The causative factor (agent), 2) the host factor (host), 3) environmental factors (environment). Hepatitis A occurs in several developing countries where the HAV virus is endemic. Hepatitis A occurred in Pacitan Regency in 2019 with a total of 1314 cases of sufferers, so that the Common Laurent Incidence (KLB) of Hepatitis A was determined in Pacitan Regency. Sudimoro Subdistrict is a sub-district in Pacitan Regency with the highest number of sufferers reaching 908 patients spread across 10 villages in Sudimoro District. This study will create a spatial model of the distribution of hepatitis A sufferers as a reference to assess the spatial autocorrelation of the distribution of hepatitis A sufferers and see the relationship between population density and the number of sufferers. Using the Moran's Index method, LISA (Local Indicator of Spatial Association), simple linear correlation, and an overlay between the number of sufferers and the total population. The objectives of this study were (1) To examine the spatial autocorrelation ofvi the distribution of Hepatitis A sufferers in Sudimoro District in 2019. (2) To study the relationship between population density and the distribution of Hepatitis A sufferers in Sudimoro District, Pacitan Regency in 2019. The method used is quantitative descriptive method, which explains the results of data processing in the form of a LISA cluster map and simple linear correlation. The results showed that (1) there was a spatial autocorrelation in the distribution of Hepatitis A patients with Sudimoro Village, Gunungrejo Village, and Pagerlor Village as the high spatial cluster and Klepu Village, Sembowo Village, and Ketanggung Village as the low spatial cluster. (2) Population density has a relationship with the distribution of Hepatitis A sufferers, meaning that the higher the population density, the higher the number of Hepatitis A sufferers, and vice versa. The correlation index of 0.48 means that the relationship has moderate strength. and Pagerlor Village as the spatial cluster high and Klepu Village, Sembowo Village, and Ketanggung Village as the low spatial cluster. (2) Population density has a relationship with the distribution of Hepatitis A sufferers, meaning that the higher the population density, the higher the number of Hepatitis A sufferers, and vice versa. The correlation index of 0.48 has a meaning, the relationship that occurs has moderate strength. and Pagerlor Village as the spatial cluster high and Klepu Village, Sembowo Village, and Ketanggung Village as the low spatial cluster. (2) population density has a relationship with the distribution of Hepatitis A sufferers, meaning that the higher the population density, the higher the number of Hepatitis A sufferers, and vice versa. The correlation index of 0.48 has a meaning, the relationship that occurs has moderate strength.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	Hepatitis A, Spatial Autocorrelation, Moran's Index, LISA (Local Indicator of Spatial Associaton), Population Density.
Subjects:	G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography G Geography. Anthropology. Recreation > GN Anthropology
Divisions:	Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi
Depositing User:	ROBBI NURDIANSYAH
Date Deposited:	15 Nov 2020 05:21
Last Modified:	15 Nov 2020 05:21
URI:	http://eprints.ums.ac.id/id/eprint/86798

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