Identifikasi Mangrove Berbasis Citra Daun Menggunakan KNN dengan Ekstraksi Tekstur Wavelet

dc.contributor.advisor	Kustiyo, Aziz
dc.contributor.author	Sonari, Sri Siti
dc.date.accessioned	2014-01-03T06:40:57Z
dc.date.available	2014-01-03T06:40:57Z
dc.date.issued	2013
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/66701
dc.description.abstract	Mangroves are plants that live in tidal area. Mangroves have many benefits such as preventing abrasion and becoming medicinal plants. Mangroves identification is difficult because of their various species and simililarities between species. This research developed a system to identify Mangrove using Discrete Wavelet Transform and K-Nearest Neighbour classification based on mangrove leaf image. The best accuracy in this research was 88.75%, obtained at Discrete Wavelet Transform decomposition level five and six.	en
dc.language.iso	id
dc.title	Identifikasi Mangrove Berbasis Citra Daun Menggunakan KNN dengan Ekstraksi Tekstur Wavelet	en
dc.subject.keyword	Discrete Wavelet Transform	en
dc.subject.keyword	K-Nearest Neighbour	en
dc.subject.keyword	Leaf Images	en
dc.subject.keyword	Mangroves	en