Aplikasi Digital Image Processing untuk Grading Citra Manggis

Arifianto, Aji Seto and Ayuninghemi, Ratih and Wildani, Ahmad Nova R (2017) Aplikasi Digital Image Processing untuk Grading Citra Manggis. In: Prosiding Seminar Nasional Hasil Penelitian Tahun 2017. P3M Politeknik Negeri Jember, pp. 15-18. ISBN 978-602-14917-5-1

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Abstract

Mangosteen (Garcinia Mangostana Linn) is an Indonesian native fruit with the nickname of "queen of fruit". Indonesia has a very high export potential for mangosteen. Banyuwangi is the largest production center of mangosteen fruit in East Java. The main problem often faced by mangosteen farmers in the post-selection process is the quality selection which is done manually. It raises several issues, such as less equitable observations due to visual limitations of fatigue and observers’ differences in perceptions. Depend on these problems, taking pictures with camera and digital image processing could be a solution. Digital image processing was done by extracting the color of the mangosteen with various quality classes into Hue, Saturation and Intensity and by measuring the diameter to be used astesting data. The qualification process of mangosteen fruit used k-NN method in which the sorting was done based on the proximity of the distance between the image features and the diameter which were obtained from the tested mangosteen toward the training data. In this case study, the test was performed on 15 testing data toward 75 training data consisting of various quality classes on the side view images. The test performed had the accuracy of 93.3% with the score of k = 3 and 86.6% with the score of k = 5 on the side view.

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