Implementasi Jaringan Syaraf Tiruan Backpropagation Untuk Mengidentifikasi Jenis Tanaman Mengkudu Berdasarkan Tekstur Buah

Abstract

Noni plants are plants that are widely used for herbal medicine. Noni plants have various types. Noni has a type of fruit that is poisonous to distinguish is difficult because noni fruit has a similar texture in terms of fruit. Identification of the type of noni fruit using backpropagation artificial neural network based on fruit texture to identify the type of noni in order to distinguish which non-toxic and poisonous fruit types. Characteristics used include in terms of homogeneity, energy, entropy, and contrast. The results of the testing process obtained a numerical value of 86% accuracy on the results of the 10 cm MSE 1e-10 distance ANN test.