Perbandingan Metode KNN Dan SVM Dalam Klasifikasi Kematangan Buah Mangga Berdasarkan Citra HSV Dan Fitur Statistik
Mutmainnah Muchtar,
Rafiqah Arjaliyah Muchtar
Abstract:This research compares the classification methods of K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) in identifying the ripeness level of mango fruit based on HSV images and statistical features. A total of 80 mango fruit images were categorized into two classes, namely "ripe" and "unripe" mango, with 40 images each. Testing was conducted using k-cross validation, revealing that KNN achieved an accuracy of 98.75%, while SVM reached 97.5%. KNN demonstrated superior and consistent performance, indicat… Show more
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