Perancangan Sistem Pengenalan Jenis Tanaman Obat Dengan Kamera Berbasis Android

Dwiatmoko, Widhar and , Ir. Bana Handaga, M.T. PhD (2020) Perancangan Sistem Pengenalan Jenis Tanaman Obat Dengan Kamera Berbasis Android. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

The natural wealth of Indonesia's tropical forests holds a wealth of biological potential which is very abundant. One of the natural products that can be used in the field of health as herbal medicines for healing diseases. Without realizing it turns out many herbs that grow around the house, but many are not yet known because it is difficult to understand with the ordinary eye. Thanks to the development of Technology 4.0, smartphone usage has become common. Android devices have been transformed to support life in the community. Every android smartphone is connected to a camera, but the camera is only used for photography. This camera also does not have a special system for the process of recognizing an object. The purpose of this study is to apply a smartphone camera on Android in order to be able to recognize the leaves of medicinal plants, thereby restoring public interest in using leaves as medicine.With the Deep Learning method and CNN architecture, it can make a camera that previously could not discuss an object to be able to focus the object according to data training. Research using the Deep Learning method to create a herbal leaf recognition system using an android smartphone camera. The results of the method obtained are 100% accurate on 6 types of herbal leaves that have been photographed on a white background.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	android, CNN, daun , herbal ,deep learning, kamera
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User:	WIDHAR DWIATMOKO
Date Deposited:	19 May 2020 02:53
Last Modified:	19 May 2020 02:53
URI:	http://eprints.ums.ac.id/id/eprint/82661

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