APPLICATION OF BACKPROPAGATION NEURAL NETWORK ALGORITHM FOR CIHERANG RICE IMAGE IDENTIFICATION

  • Dita Aprilia Universitas Singaperbangsa Karawang
  • Jajam Haerul Jaman Universitas Singaperbangsa Karawang
  • Riza Ibnu Adam
DOI: https://doi.org/10.33480/pilar.v16i2.1500
Keywords: Pengolahan Citra., Image Processing, Backpropagation Neural Network,, Identifikasi Beras

Abstract

Rice is a food source for carbohydrates that are most consumed in Indonesia, because of this the production is higher compared to other food crops. There are several superior rice varieties planted by the farmers, one of them is Ciherang. This type is widely planted by farmers because has high selling as economic value and can be used as premium rice. The existence of several types of rice that had a high sales value makes some person was deceitfulness by mix the rice with premium quality with bad quality. Many people do not know the problem of distinguishing types of rice from one to another that has the same shape. Classification techniques using the backpropagation neural network algorithm and image processing are used to identify one of the most preferred types of rice, Ciherang. The network architecture model on the backpropagation algorithm is very influential on the value of accuracy. In determining the best network’s architectures, 4 times attempted where network architecture with 5 nodes in the input layer, 8 nodes in the hidden layer, and 1 node in output layer produce the highest accuracy of 82,66%.

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Published
2020-09-08
How to Cite
Aprilia, D., Jaman, J., & Adam, R. (2020). APPLICATION OF BACKPROPAGATION NEURAL NETWORK ALGORITHM FOR CIHERANG RICE IMAGE IDENTIFICATION. Jurnal Pilar Nusa Mandiri, 16(2), 141-148. https://doi.org/10.33480/pilar.v16i2.1500
Issue
Vol 16 No 2 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Period for September 2020
Section
Articles

Copyright (c) 2020 Dita Aprilia, Jajam Haerul Jaman, Riza Ibnu Adam

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