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All Journal JURTIK
Muhammad Handy Risyandi
STMIK Bandung
Computer Science & IT Decision Sciences, Operations Research & Management

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IDENTIFIKASI TANAMAN OBAT HERBAL BERBASIS CITRA Mina Ismu Rahayu; Rahmat Jaenal; Muhammad Handy Risyandi
Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 2 (2023): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12i2.5763

Abstract

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.
Co-Authors Rahayu, Mina Ismu Rahmat Jaenal