IDENTIFIKASI JENIS TANAMAN OBAT BERDASARKAN TEKSTUR DAUN MENGGUNAKAN JARINGAN SYARAF PROPAGASI BALIK

NURQOLBIAH, FATIHANI and Samsuryadi, Samsuryadi and Rodiah, Desty (2021) IDENTIFIKASI JENIS TANAMAN OBAT BERDASARKAN TEKSTUR DAUN MENGGUNAKAN JARINGAN SYARAF PROPAGASI BALIK. Undergraduate thesis, Sriwijaya University.

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Abstract

Identifikasi daun tanaman obat yang paling sederhana adalah dengan melihat tekstur dan bentuk daunnya, tetapi tidak banyak orang yang dapat membedakan antara daun yang satu dengan lainnya. Oleh karena itu, untuk mengenali daun dibutuhkan teknologi pengolahan citra digital dengan berbagai metode salah satunya jaringan syaraf tiruan. Penelitian ini bertujuan untuk mengidentifikasi jenis tanaman obat berdasarkan tekstur daun menggunakan metode ekstraksi Gray Level Co-ocurrence Matrix (GLCM) dan Jaringan Syaraf Propagasi Balik. Jenis data yang digunakan pada penelitian ini merupakan data primer berupa 63 data dari citra 3 jenis daun tanaman obat dengan 45 data latih (15 daun temu putih, 15 daun temu mangga dan 15 daun kunyit kuning) dan 18 data uji (6 daun temu putih, 6 daun temu mangga dan 6 daun kunyit kuning). Hasil penelitian didapat bahwa nilai akurasi tertinggi dihasilkan oleh aplikasi yang menggunakan learning rate 0,1 dan epoch 100 sebesar 65,03%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Identifikasi, Daun Tanaman Obat, Gray Level Co-ocurrence Matrix (GLCM), Jaringan Syaraf Propagasi Balik
Subjects: Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Users 9914 not found.
Date Deposited: 15 Jan 2021 03:22
Last Modified: 15 Jan 2021 03:22
URI: http://repository.unsri.ac.id/id/eprint/40104

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