Implementasi Jaringan Syaraf Tiruan Backpropagation Pada Klasifikasi Grade Teh Hitam

Authors

  • Muhammad Ikhsan Universitas Islam Negeri Sumatera Utara, Medan
  • Armansyah Armansyah Universitas Islam Negeri Sumatera Utara, Medan
  • Anggara AlFaridzi Tamba Universitas Islam Negeri Sumatera Utara, Medan

DOI:

https://doi.org/10.30865/json.v4i2.5312

Keywords:

Backpropagation, Artificial Neural Network, Classification, Grade, Black Tea

Abstract

Black tea is the most widely produced type of tea in Indonesia, where Indonesia itself is the 5th largest black tea exporter in the world. According to the provisions of SNI-1902-2016, the quality requirements of black tea through appearance include the shape, size and weight (density), and the color of the black tea particles themselves. This study aims to determine the workings of the backpropagation method and the implementation of python on black tea grade classification, and to determine the level MSE of accuracy in the results of black tea grade classification using backpropagation. The model used in this study uses 4 input layers, 5 hidden layers, and 3 output layers. In the input layer, 4 input variables are used, namely shape, size, density, and color. The results of the classification using backpropagation with a number of iterations of 1000 iterations on the training data obtained an error of 0.096.

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Published

2022-12-31

How to Cite

Ikhsan, M., Armansyah, A., & Tamba, A. A. (2022). Implementasi Jaringan Syaraf Tiruan Backpropagation Pada Klasifikasi Grade Teh Hitam. Jurnal Sistem Komputer Dan Informatika (JSON), 4(2), 387–395. https://doi.org/10.30865/json.v4i2.5312

Issue

Vol. 4 No. 2 (2022): Desember 2022

Section

Articles

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