Elektron Jurnal Ilmiah
Volume 13 Nomor 1 Tahun 2021

Implementasi Pengolahan Citra Untuk Identifikasi Daun Tanaman Obat Menggunakan Levenberg-Marquardt Backpropagation

Atsilfia Alfath Syam (Politeknik Negeri Padang)
Silfia Rifka (Politeknik Negeri Padang)
Siska Aulia (Politeknik Negeri Padang)

Article Info

Publish Date
28 Jun 2021


Digital Image processing implementation can be applied to identify medicinal leaves, because it can help the elderly and people with color-blindness in identifying medicinal leave to be consumed and in avoiding reading errors, since some leaves have similar shape and color . In this discussion, the feature-extractions are using color and shape features, and using Levenberg-Marquardt for pattern recognition algorithm. The success of this medicinal plant identification system resulted in fairly good accuracy. The backpropagation network architecture used two hidden layers with 10 and 5 neurons. Data training is using 60 training leaf images with 15 images each of 5 types: green betel leaf, red betel, soursop, castor and aloe vera. Then, offline testing is using 20 test images for each of 4 images from 5 types with the accuracy of 85%. Meanwhile the online (realtime) test is using 20 times for each leaf types so the accuracy is 88%.

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Journal Info





Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering


Elektron Jurnal Ilmiah (EJI) is a peer-reviewed journal which is published by Department of Electrical Engineering, Politeknik Negeri Padang. The ISSN number is 2085-6989. EJI published the first edition in 2009 and since 2014, EJI publishes in Juni and December. The scopes of the journal are: ...