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Elisabeth Tansiana Mbitu
Electrical Engineering Department, Politeknik Negeri Ambon, Ambon, Maluku, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Mathematics Physics

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A Web-Based Convolutional Neural Network System for Indonesian Herbal Plant Identification Supporting Biodiversity Conservation Alphin Stephanus; Syukri Gazali Suatkab; Elisabeth Tansiana Mbitu; Thenny Daus Salamoni; Farhan Syamsu
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.668

Abstract

Indonesia is one of the world's megabiodiversity countries, possessing a rich diversity of herbal plants that play an important role in traditional medicine and biodiversity conservation. However, the identification of herbal plant species remains challenging for the public due to similarities in leaf morphology, increasing the risk of misidentification and inappropriate utilization. This study aims to develop a web-based identification system for Indonesian herbal plants using a Convolutional Neural Network (CNN) to facilitate accurate and accessible species recognition. The system employs the MobileNetV2 architecture to classify herbal plants based on leaf images and provides an interactive web interface for users. Experimental results showed that the proposed model achieved a training accuracy of 96.30% and a validation accuracy of 95.75%. Performance evaluation using 50 independent leaf images yielded an identification accuracy of 89.24%, with 47 images correctly classified. These findings indicate that the proposed system is capable of supporting reliable herbal plant identification and can serve as a can serve as a practical digital tool for supporting biodiversity monitoring, medicinal plant documentation, public education, and the sustainable utilization of Indonesia's medicinal plant resources.
Co-Authors Alphin Stephanus Farhan Syamsu Syukri Gazali Suatkab Thenny Daus Salamoni