Optimasi Akurasi Metode Convolutional Neural Network untuk Identifikasi Jenis Sampah

Optimasi Akurasi Metode Convolutional Neural Network untuk Identifikasi Jenis Sampah

Waste is goods / materials that have no value in the scope of production, where in some cases the waste is disposed of carelessly and can damage the environment. The Indonesian government in 2019 recorded waste reaching 66-67 million tons, which is higher than the previous year, which was 64 million...

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Bibliographic Details
Main Authors: Rima Dias Ramadhani, Afandi Nur Aziz Thohari, Condro Kartiko, Apri Junaidi, Tri Ginanjar Laksana, Novanda Alim Setya Nugraha
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2021-04-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
cnn, dropout, model, padding, waste, stride
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/2754

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