Analisis Spasial Penyakit Tuberculosis (TBC) di Kecamatan Simo Kabupaten Boyolali

Yuwana, Nendra Mega and , Jumadi, Ph.D (2022) Analisis Spasial Penyakit Tuberculosis (TBC) di Kecamatan Simo Kabupaten Boyolali. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

WHO (World Health Organization) states that worldwide Tuberculosis (TBC) is one of the top 10 causes of death, and the main cause of one infectious agent disease above HIV/AIDS. Globally, in 2018 Indonesia accounted for 8% of TBC cases which were included in eight countries with two-thirds of the highest TB cases in the world (Global Tuberculosis Report, 2019). The Central Statistics Agency in 2019 stated that cases of TBC disease in Simo District for all Case Notification Rate (CNR) cases reached 245 people and was the second highest case in Boyolali Regency. Identification of factors related to the incidence of TBC in Indonesia is very important. One of the factors that influence the occurrence of TBC disease is environmental factors, especially the physiological fulfillment of the house, because the home environment with high humidity is a good medium that will cause pathogenic bacteria including Mycobacterium tuberculosis. Geographic Information Systems (GIS) can be used to analyze, and map health data, such as mapping the geographic distribution of a population at risk, the distribution of diseases and health problems, the distribution of the location of health care facilities, and analysis of risk factors for disease occurrence. GIS and remote sensing can be used for mapping the distribution of tuberculosis sufferers. The benefits obtained from mapping tuberculosis can help overcome the spread of tuberculosis and can also find out the factors that influence the occurrence of tuberculosis. This study aims to analyze the pattern of spatial distribution, analyze the condition of the house of TBC sufferers and analyze the vulnerability of the condition of the house to TBC disease. The method used is Nearest Neighbor Analysis, quantitative descriptive analysis and qualitative descriptive analysis in the form of vulnerability classification of house conditions. The data used to analyze the distribution pattern of TBC patients were obtained from the census and the house condition factor data (type of floor, lighting and roof type) of TBC patients were obtained through field surveys. The house vulnerability data is obtained from digitizing digital images that are referred to by factors such as the type of roof, the shape of the roof and the direction of the house building. Quantitative Descriptive Analysis Method is a method of analyzing the results of field surveys. The results showed that the spatial pattern of TBC disease in Simo District in 2019 was random or random. This study also found that house condition factors (type of floor, lighting and roof type) can explain from cases of TBC disease in Simo District that 5% poor house conditions are not good 28% and the rest are good houses 68%, while the house's susceptibility to disease TBC is a very vulnerable house with an area of 9.8 ha, a vulnerable house 70.78 ha and a good house 272.5 ha.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Tuberculosis, Spasial distribution pattern, Vulnerability of home condition
Subjects:	G Geography. Anthropology. Recreation > G Geography (General)
Divisions:	Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi
Depositing User:	NENDRA MEGA YUWANA
Date Deposited:	24 May 2022 02:36
Last Modified:	24 May 2022 02:36
URI:	http://eprints.ums.ac.id/id/eprint/100657

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