Analisis Perbandingan Kepadatan Pemukiman Menggunakan Klasifikasi Supervised Dan Segmentasi (Studi Kasus: Kota Bandung)

Abstract

Settlements are residential area consisting of more than one housing unit which is very important in human life. Nowadays, vacant area and green area are decreasing because of the higher density of settlements, especially in big cities such as Bandung.Remote sensing technology and geographic information system (GIS) can help obtaining the dense settlement information by analyzing the image of high resolution Quickbird. In this study, the method used to analyze is segmentation and supervised classification.Information of the dense settlement wide area in Bandung in 2012 is obtained using segmentation method and supervised classification. The result of both methods is compared. The Result of dense settlement area of Bandung in 2012 using segmentation method is 115,949,487.2 m², while according to the result of supervised classification is 117,233,067.02 m². Based on the accuracy test of segmentation method, it is 100% whereas supervised classification is 98,418%. In statistical test point of view, both of the methods have a remarkably strong correlation and the same direction with the value of 0.998, with the hypothesis that the wide of dense settlements area obtained from segmentation method was different with supervised classification method was significantly different with