Klasifikasi Image Tumbuhan Obat Sirih dan Binahong Menggunakan Metode Convolutional Neural Network (CNN)

Abstract

Medicinal plants are types of plants that are often used by the community because they have many benefits, such as to prevent or cure various diseases. Betel and binahong are medicinal plants that are widely used by Indonesian people. One part of the plant that is commonly used to classify plant species is the leaf. The CNN method is a very common method used for image classification because this method produces the most significant accuracy in image recognition. The study used 900 data images with a comparison of training, validation, and testing data, namely 7:2:1. Based on the test results using epochs of 15, 20, and 25 on betel leaf and binahong images, it shows the greatest accuracy of 95.67% for test data. So it can be concluded that the Deep Learning technique with CNN is able to classify images of betel and binahong leaves well.