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Mahagi Putra Deraf 1503123371 Analisa Keragaman Warna Tandan Buah Segar (Tbs) Kelapa Sawit Menggunakan Computer Vision Dan Colorimeter
ABSTRACT
The computer vision method using imageJ software and measurement using
colorimeter has been used to find the RGB value of oil palm FFB. This study aims
to determine the level of color maturity and uniformity of oil palm FFB using
RGB values. The system used consists of RGB cameras, computers, imageJ
software, lights and oil palm FFB samples. Measurements using a colorimeter to
find RGB values. The sample used was oil palm FFB Tenera variety with four
maturity levels F0, F1 (raw), F2, F3 (mature). The level of sample maturity is
traditionally determined by harvesters with experience from UNRI's
agrotechnology. TBS samples were given two treatments, which were recorded
using an RGB camera and then processed using imageJ and measured using a
colorimeter to obtain RGB values. The recording results and measurements show
that the average RGB computer vision is higher than the colorimeter. There is a
difference in RGB values that are quite large at F3 which is equal to 50.1%, while
at F2 there is only a difference in value of 28.6% on the front side. On the right
side, there is the highest difference at F3 which is equal to 50.1%, while the
lowest at F2 only shows a difference in value of 28.6%. On the left side, at F3 the
percentage difference reaches 55.8% and at F2 85.4%.
Keywords: Computer vision, colorimeter, RGB, imageJ.
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