Pemanfaatan Citra Satelit GeoEye-1 dan Sistem Informasi Geografis untuk Pemetaan Kesehatan Lingkungan Permukiman di Kecamatan Depok, Kabupaten Sleman
Main Authors: | , FIRNA VESTRI ASWARI, , Barandi Sapta Widartono, S.Si, M.Sc |
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Format: | Thesis NonPeerReviewed |
Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2013
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Subjects: | |
Online Access: |
https://repository.ugm.ac.id/124575/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=64729 |
Daftar Isi:
- Population density is one of the determinants of health of neighborhoods. Dense settlements are more likely to spread disease than sparse settlements. The research was conducted in District of Depok, Sleman. The research aims to asses the benefits of GeoEye-1 satellite imagery in intercepting health parameters and mapping the distribution of health class neighborhoods. The method used is a visual interpretation of each parameter on the image. The image is GeoEye-1 recording 2011. Determining the samples with stratified random sampling method, interview, and interpretation accuracy test by confusion matrix calculation. Field in 2013. The unit of analysis in this research that settlement blocs. Validation using DBD incidence data, Malaria, diarrhea, and pulmonary TB in 2012. The level of accuracy of interpretation GeoEye-1 Satellite Imagery in intercepting environmental health parameter ranging between 89.36% - 92.19%. The final result is a map of the distribution health class neighborhoods that have been validated by the disease incidence for a year in the District of Depok, Sleman. Soundness neighborhoods are divided into three classes, namely healthy (67 blocks of settlements), somewhat healthy (60 blocks of settlements), and unhealthy (14 blocks of settlements). Study area has a condition that tends to healthy neighborhoods. Unhealthy housing conditions are common in the area along the main road