Subari, Norazian
(2014)
Development Of Intelligent Classifier And Estimator For Tualang Honey Purity.
Masters thesis, Perpustakaan Hamzah Sendut.
Abstract
Honey is a natural substance well-known as supplement for maintaining good health.
It is also useful as an ingredient in medicine. However, the market price of pure honey
is expensive, causing irresponsible parties to adulterate pure honey by adding various
sugar substances. It is very challenging to come out with a suitable method to prove
the presence of adulterants in honey products. Most previous studies involved close
data observation from experts that is time-consuming. This research proposes the development
of intelligent classifier to aid the task of differentiating pure honey from
adulterated ones. Besides intelligent classifier, this research has also developed an intelligent
estimator for the purpose of giving a percentage estimation of pure honey that
exists in adulterated honey sample. The pure honey classifier and estimator are developed
using Artificial Neural Network (ANN) approach: Ten types of pure honey
from different brands and sugar compounds have been used to prepare various pure
and adulterated honey (at different percentages of pure honey) samples.
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