Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Vol 4 No 5 (2020): Oktober 2020

Identifikasi Spesies Reptil Menggunakan Convolutional Neural Network (CNN)

Olvy Diaz Annesa (Institut Teknologi Telkom Purwokerto)
Condro Kartiko (Institut Teknologi Telkom Purwokerto)
Agi Prasetiadi (Institut Teknologi Telkom Purwokerto)

Article Info

Publish Date
30 Oct 2020

Abstract

Reptiles are one of the most common fauna in the territory of Indonesia. quite a lot of people who have an interest in knowing more about this fauna in order to increase knowledge. Based on previous research, Deep Learning is needed in particular the CNN method for computer programs to identify reptile species through images. This reseacrh aims to determine the right model in producing high accuracy in the identification of reptile species. Thousands of images are generated through data augmentation processes for manually captured images. Using the Python programming language and Dropout technique, an accuracy of 93% was obtained by this research in identifying 14 different types of reptiles.

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Journal Info
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Website

Abbrev

RESTI

Publisher

Ikatan Ahli Informatika Indonesia

Subject

Computer Science & IT Engineering

Description

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat ...