Klasifikasi Jenis Kelengkeng Berdasarkan Daun Menggunakan Convolutional Neural Network Multilayer Perceptron
DOI:
https://doi.org/10.61769/telematika.v17i2.496Keywords:
classification, longan, convolution neural network, feature extraction, multilayer perceptronAbstract
Research related to the introduction of longan types based on leaves requires increased feature extraction of longan leaves, whether based on features, shape, or texture. Existing research uses more feature extraction processes using color, texture, and shape, so this study proposes the introduction of longan types based on leaf images of all image pixels using the convolution neural network method. This research aims to identify longan species using feature extraction of all leaf image intensities. The image used to identify the type of longan is a color image measuring 128x128. The types of longan studied were itoh, diamond river, and local with a total of 150 training data images and 30 image test data. Longan-type classification results using multilayer perceptron are good. The resulting multilayer perceptron accuracy value is 96.7%.
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