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Title : Classification of Tangerine (Citrus Reticulata Blanco) Quality Using Combination of GLCM, HSV, and K-NN
Author :

FRISKA AYU LISTYA I (1) Dr. Nur Rokhman, S.Si., M.Kom. (2)
Date : 0 2019
Keyword : Classification,GLCM,HSV,K-NN Classification,GLCM,HSV,K-NN
Abstract : The quality of fruit production is very important because it is related to the value of sales. Data from the Directorate General of Horticulture at the Ministry of Agriculture in 2017 showed that 94,3% of the total yield of citrus fruits is a type of tangerine. In the classification of the quality, the visual observation process is strongly influenced by subjectivity so that in certain conditions such as tired eyes and the number of oranges that want to classify too many the process can be inconsistent and also take a long time. Therefore, a technology is needed to accelerate the classification process and make it more objective. This study combines the Gray level Co-occurrence Matrix (GLCM) method for texture, Hue, Saturation, Value (HSV) features for color features and the k-Nearest Neighbor (k-NN) classification method. The data used were 60 images of rotten tangerines and 60 images of not rotten tangerines divided using a 4-fold cross-validation method to find the best combination of data training and data testing. 3 main processes will be carried out, namely preprocessing, feature extraction and classification. This study produced the highest accuracy of 80% from the combined of GLCM and HSV features extraction with value k = 5 for k-NN .
Group of Knowledge : Ilmu Komputer
Original Language : English
Level : Nasional
Status :
Published
Document
No Title Document Type Action
1 Dokumen IJCCS 2019 10 merged-pdf-2022-09-04T08_42_42.pdf
Document Type : [PAK] Full Dokumen
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2 Halaman -Sampul IJCCS (Indonesian Journal of Computing and Cybernetics Systems).pdf
Document Type : [PAK] Halaman Cover
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3 Editorial Team-IJCCS.pdf
Document Type : [PAK] Halaman Editorial
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4 Daftar isi - Vol 13, No 4 (2019).pdf
Document Type : [PAK] Daftar Isi
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5 Sertifikat akreditasi IJCCS.pdf
Document Type : Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
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6 Classification of Tangerine.pdf
Document Type : [PAK] Full Dokumen
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