Deep Learning Identifikasi Tanaman Obat Menggunakan Konsep Siamese Neural Network

JTIM : Jurnal Teknologi Informasi dan Multimedia

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Field Value
 
Title Deep Learning Identifikasi Tanaman Obat Menggunakan Konsep Siamese Neural Network
 
Creator Kartarina, Kartarina
Mardedi, Lalu Zazuli Azhar
Madani, Miftahul
Jihad, Miftahul
Riberu, Regina Aprilia
 
Subject Deep Learning
Siamese
Android
Medicinal Plant Family
 
Description One of the roles of humans in community empowerment activities is in the health sector. Community empowerment in this field can be carried out through efforts to improve community health by utilizing family medicinal plants. The purpose of using family medicinal plants is so that the community can preserve these plants, reduce hospital costs, and serve as access to first aid for health if health services are difficult to reach. Based on this explanation, to increase public knowledge and understanding of the types of Toga and its benefits as a medicinal ingredient, it can be done several ways. One of them is through an in-depth learning approach. The deep learning approach with Siamese Neural Network is by comparing two patterns and producing an appropriate output based on the similarity of the two patterns. The application of Siamese Neural Network with an Android Smartphone is the right choice because it can facilitate the community in terms of usage. Based on these problems, the writer wants to build an application that can identify plants based on Android-based leaf images by applying the Siamese Neural Network approach. In this study, the results achieved were that the Siamese Neural Network could be implemented on Android-based smartphones. The application was able to identify family medicinal plants based on leaves.
 
Publisher Puslitbang Sekawan Institute Nusa Tenggara
 
Date 2021-02-10
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.sekawan-org.id/index.php/jtim/article/view/114
10.35746/jtim.v2i4.114
 
Source JTIM : Jurnal Teknologi Informasi dan Multimedia; Vol 2 No 4 (2021): February; 223-228
2684-9151
10.35746/jtim.v2i4
 
Language eng
 
Relation https://journal.sekawan-org.id/index.php/jtim/article/view/114/84
 
Rights Copyright (c) 2021 Kartarina Kartarina, Lalu Zazuli Azhar Mardedi, Miftahul Madani, Miftahul Jihad, Regina Aprilia Riberu
https://creativecommons.org/licenses/by-sa/4.0
 

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