Pemanfaatan Penginderaan Jauh dan Sistem Informasi Geografis untuk Analisis Hubungan Kejadian Penyakit Tuberkulosis Paru terhadap Kondisi Rumah di Kecamatan Sewon Kabupaten Bantul

Irawati, Fani and , Aditya Saputra, S.Si. M.Sc. Ph.D (2019) Pemanfaatan Penginderaan Jauh dan Sistem Informasi Geografis untuk Analisis Hubungan Kejadian Penyakit Tuberkulosis Paru terhadap Kondisi Rumah di Kecamatan Sewon Kabupaten Bantul. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Tuberculosis (TB) is an infectious disease caused by the Mycobacterium Tuberculosis. Pulmonary TB can be resistant if intensive treatment is not carried out. TB bacteria can breed in humid conditions. Remote sensing can be used in a number of fields, including the health sector, for mapping infectious diseases. One of the infectious disease is pulmonary tuberculosis. Sewon sub-district is one of the Bantul sub-districts which has high number of pulmonary TB sufferers. Thus, the research about the relationship of home conditions and pulmonary TB disease is needed. The objectives of this study are: (1) to examine the ability of Quickbird imagery to identifying home conditions in Sewon Subdistrict, (2) assessing the ability of Geographic Information Systems (GIS) to find out the distribution patterns of pulmonary TB patients in Sewon Subdistrict, (3) to know the relationship of home condition parameters with pulmonary TB disease in Sewon Subdistrict, and (4) to know the level of vulnerability of home conditions to pulmonary TB disease in Sewon Subdistrict. The method used to collecting data in this study is a case control study. Data processing methods in this study used cross tabulation (crosstab) using calculation of Spearman correlation. The analysis method used average nearest neighbor analysis to find out the distribution pattern and map analysis in the form of scoring and overlay. The results of this study are proven that the remote sensing image in the form of a Quickbird image is able to extract 2 parameters of the condition of the house in the form of settlement density and physical condition of the building with the results of accuracy of 90% and 99%. Geographical information system (GIS) is able to know the distribution pattern of pulmonary TB disease in Sewon Subdistrict with the results of a clustered pattern. Lighting parameters have a very strong relationship to pulmonary TB disease with a correlation value of 0.86. The village that has the most vulnerable home conditions for pulmonary TB disease in Sewon Subdistrict is Timbulharjo village with settlements which dominate the "Very High" vulnerability class.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	Sistem Informasi Geografis, Penginderaan Jauh, Tuberkulosis Paru, Tabulasi Silang, Scoring, Overlay.
Subjects:	G Geography. Anthropology. Recreation > G Geography (General)
Divisions:	Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi
Depositing User:	FANI IRAWATI
Date Deposited:	16 Aug 2019 02:33
Last Modified:	19 Nov 2019 01:48
URI:	http://eprints.ums.ac.id/id/eprint/76239

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