Perkiraan Nilai Reflectance Berdasarkan Warna Citra Digital Menggunakan Wiener Estimation untuk Menduga Usia Tanaman Sambiloto

dc.contributor.advisor	Herdiyeni, Yeni
dc.contributor.advisor	Heryanto, Rudi
dc.contributor.author	Azizah, Nurul
dc.date.accessioned	2013-12-31T02:38:35Z
dc.date.available	2013-12-31T02:38:35Z
dc.date.issued	2013
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/66615
dc.description.abstract	This research developed a system to estimate the reflectance value and to predict Sambiloto plants age (Andrographis paniculata) using Wiener Estimation and probabilistic neural networks (PNN). Sambiloto is a medicinal plant containing Andrografolide compounds. Wiener Estimation is used to estimate the sambiloto reflectance values based on RGB values. According to experimental result, Wiener transformation using 2 orde give a good estimations. PNN is used to predict Sambiloto’s age. The accuracy of Sambiloto’s age using PNN is 73.61%. Results of this research can be used by the public to know about the quality of medical plant based on the age plant.	en
dc.language.iso	id
dc.title	Perkiraan Nilai Reflectance Berdasarkan Warna Citra Digital Menggunakan Wiener Estimation untuk Menduga Usia Tanaman Sambiloto	en
dc.subject.keyword	polynomial	en
dc.subject.keyword	Probabilistic Neural Network	en
dc.subject.keyword	reflectance	en
dc.subject.keyword	sambiloto	en
dc.subject.keyword	Wiener Estimation	en