Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi
Vol 5, No 2 (2020)

Model Architecture of CNN for Recognition the Pandava Mask

Sanjaya, Andi (Unknown)
Setyati, Endang (Unknown)
Budianto, Herman (Unknown)

Article Info

Publish Date
01 Aug 2020


This research was conducted to observe the use of architectural model Convolutional Neural Networks (CNN) LeNEt, which was suitable to use for Pandava mask objects. The Data processing in the research was 200 data for each class or similar with 1000 trial data. Architectural model CNN LeNET used input layer 32x32, 64x64, 128x128, 224x224 and 256x256. The trial result with the input layer 32x32 succeeded, showing a faster time compared to the other layer. The result of accuracy value and validation was not under fitted or overfit. However, when the activation of the second dense process as changed from the relu to sigmoid, the result was better in sigmoid, in the tem of time, and the possibility of overfitting was less. The research result had a mean accuracy value of 0.96.

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Journal Info





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


Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi is One of the journals published by the Informatics Engineering Department Dr. Soetomo University, was established in January 2016. Inform a double-blind peer-reviewed journal, the aim of this journal is to publish high-quality articles ...