Coffee Bean Grade Determination Based on Image Parameter
Abstract: Quality standard for
coffee as an agriculture commodity in Indonesia uses defect system which is
regulated in Standar Nasional Indonesia (SNI) for coffee bean, No:
01-2907-1999. In the Defect System standard, coffee bean is classified into six
grades, from grade I to grade VI depending on the number of defect found in the
coffee bean. Accuracy of this method heavily depends on the experience and the
expertise of the human operators. The objective of the research is to develop a
system to determine the coffee bean grading based on SNI No: 01-2907-1999. A
visual sensor, a webcam connected to a computer, was used for image acquisition
of coffee bean image samples, which were placed under uniform illumination of
414.5+2.9 lux. The computer performs feature extraction from parameters of
coffee bean image samples in the term of texture (energy, entropy, contrast,
homogeneity) and color (R mean, G mean, and B mean) and determines the grade of
coffee bean based on the image parameters by implementing neural network algorithm.
The accuracy of system testing for the coffee beans of grade I, II, III, IVA,
IVB, V, and VI have the value of 100, 80, 60, 40, 100, 40, and 100%,
respectively.
AUTHOR: Faridah, Gea O. F. Parikesit, Ferdiansjah
Journal Code: jptkomputergg110064
