Identifikasi Daun Tanaman Jati Menggunakan K-Nearest Neighbour dengan Ekstraksi Fitur Ciri Morfologi Daun
dc.contributor.advisor | Kustiyo, Aziz | |
dc.contributor.author | Pratama, M. Bangkit | |
dc.date.accessioned | 2014-01-20T07:17:12Z | |
dc.date.available | 2014-01-20T07:17:12Z | |
dc.date.issued | 2013 | |
dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/67165 | |
dc.description.abstract | The ability of teak plantation to adapt in tropical climate makes this plantation grows well in Indonesia. Teak plantation belongs to Lamiacae and it has a high economic value. The existence of various teak varietas becomes a challenge in teak identification. This research developed a teak identification system using its leaf morphology feature extraction. K-nearest neighbor (KNN) was used as the classification method. Six teak varieties were used as the data. The testing data and training data were divided by k-fold cross validation with k=5. The best average accuracy was 73.33%. | en |
dc.language.iso | id | |
dc.title | Identifikasi Daun Tanaman Jati Menggunakan K-Nearest Neighbour dengan Ekstraksi Fitur Ciri Morfologi Daun | en |
dc.subject.keyword | Teak Tree | en |
dc.subject.keyword | Leaf Morphology | en |
dc.subject.keyword | K-Nearest Neighbour | en |
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UT - Computer Science [2254]