Main Article Content
Maturation process of Fresh Fruit Bunches (FFB) palm oil can see by the changes of the skin color. Only FFBâ€™s worth to processed that will be carried by truck to the factory. However, for this time FFBâ€™s raw still carried to the factory. The result of this research is a web base application that organize by admin to organize data training and an android based application that can predict which FFBâ€™s worth carrying or not to factory. The farmer just needs to take a picture of FFBâ€™s, then the application will predict the label. The prediction result obtained is FFBâ€™s worth to carried or not. The feature extraction that used is RGB color, then the numeric value that gotten will processed using algorithm. The algorithm that is used is k-nearest neighbor. Based on the test performed, application has reach the accuration 85% with K value = 7.
How to Cite
Rifqi, M., Akbar, M., & Fitrisia, Y. (2020). FFB, Android, RGB, K-NN Application to detect Maturity of Palm Oil’s Fresh Fruit Bunches (FFB) Based on Color Composition using K-NN algorithm. Jurnal Komputer Terapan, 6(1), 99–108. https://doi.org/10.35143/jkt.v6i1.3338
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