PENGKAJIAN KARAKTERISTIK MUTU BUAH BELIMBING MANIS (Averrhoa carambola L.) DENGAN TEKNIK PENGOLAHAN CITRA
ABSTRACT: The research aim was
to develop image processing algorithms suitable for the determination of star
fruits quality by assessing the external appearances of the fruit i.e. physical
characteristics used for grading. Based on that, a computer software for star
fruit quality grading was then developed. An RGB (Red-Green-Blue) index was
used to determine the colour range and classification, while an euclidian
method was used to measure the length and diameter of the fruit to classify the
quality grade.
The result showed that an image processing has high correlation between
fruit length (r2=0.97), fruit diameter(r2=0.98),and fruit area based on fruit
length (r2=0.93), but less correlated with the fruit area based on the fruit
diameter (r2=0.62). The red index was slightly well correlated with the total
soluble solid (°Brix) of the fruit juice (r2=0.74). On the other hand, the
green and blue indexes showed a low correlation with the total soluble solid of
the fruit with a correlation value of 0.34 and 0.10 respectively. It can be
concluded that the quality characteristics of star fruit may be mostly
determined by the red index, fruit length, fruit diameter, and fruit area. The
Grade A quality characteristics of the fruit can be expressed with a value of
0.402-0.460 (red index), 186-237 pixels
(fruits length), 100-125 pixels (fruits diameter), and 13627-20449 pixels (fruits area). While the
values of such parameter of the B Grade were 0.402-0.460, 147-185 pixels, 76-90
pixels, and 8805-13415 pixels, and of C Grade were 0.370-0.401, 147-185 pixels,
76-90 pixels, and 8805-13415 pixels, respectively.
Key Words: Star Fruits, Image
Processing, quality
Penulis: Yusuf Hendrawan,
Sumardi H. S.
Kode Jurnal: jppertaniandd050033
