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All Journal INCODING: Journal of Informatics and Computer Science Engineering
Sinaga, Nicolas Novelico
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Computer Science & IT

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Klasifikasi Tumbuhan Obat Berdasarkan Citra Daun Menggunakan Algoritma CNN Sinaga, Nicolas Novelico; Sembiring, Arnes
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 1 (2025): INCODING APRIL
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i1.833

Abstract

This study aims to classify various types of medicinal plants based on leaf images by utilizing the Convolutional Neural Network (CNN) algorithm. The model used is the MobileNetV2 architecture because of its ability to balance accuracy and computational efficiency. The leaf images dataset is divided into training and validation data, then processed through several stages such as augmentation, fine-tuning, and regularization. The evaluation results show that the model successfully achieved the highest validation accuracy of 98,43%, proving that this approach is effective in identifying types of medicinal plants.
Co-Authors Sembiring, Arnes