Identifikasi Tanaman Obat Herbal Berbasis Citra

Mina Ismu Rahayu (Sekolah Tinggi Manajemen Informatika dan Komputer Bandung)
Rahmat Jaenal (Sekolah Tinggi Manajemen Informatika dan Komputer Bandung)
Muhamad Handy Risyandi (Sekolah Tinggi Manajemen Informatika dan Komputer Bandung)

JURTIK: Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Vol 12 No 2 (2023): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi

The Image-Based Herbal Plant Identification System or DETAMO is an application developed to assist the public in identifying medicinal plant species. The method involves teaching about herbal plants using image processing technology, employing Convolutional Neural Network (CNN) architecture. The acquired learning serves as the basis for mobile-based plant identification. Research findings demonstrate sufficient accuracy in recognizing various types of medicinal plants and provide alternative recipes for utilizing these herbal plants. The proposed system also manages variations in images caused by differences in lighting, position, and plant growth conditions.