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p-Index From 2020 - 2025
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All Journal International Journal of Multilingual Education and Applied Linguistics
Nur Rahma Ditta Zahra
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Arts Computer Science & IT Education Languange, Linguistic, Communication & Media Public Health Social Sciences

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Identification of Traditional Herbal Leaves and Their Benefits Using K-Nearest Neighbors (KNN) Nur Rahma Ditta Zahra; Kanaya Sabila Azzahra; Nur Iman Nugraha; Muhammad Ilham Nurfajri; Nabil Malik Al Hapid; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.113

Abstract

Abstract. This study presents a web-based system for identifying traditional herbal leaves using K-Nearest Neighbors (KNN) and image processing techniques focused on analyzing leaf shape and color. The dataset used consists of images of various types of herbal leaves, providing a basis for classification and medicinal benefit information retrieval. The system was tested with multiple leaf samples to assess accuracy, speed, and effectiveness in identifying leaf types based on visual characteristics. Results show that the system can recognize different types of herbal leaves and display information on their medicinal properties in a user-friendly interface..
Co-Authors Endang Purnama Giri Gema Parasti Mindara Kanaya Sabila Azzahra Muhammad Ilham Nurfajri Nabil Malik Al Hapid Nur Iman Nugraha