IMPLEMENTASI JARINGAN SYARAF TIRUAN DALAM MEMPREDIKSI FREKUENSI RESONANSI ANTENA MIKROSTRIP

  • Khairi Budayawan Universitas Negeri Padang
  • Yuhandri Yuhandri Universitas Negeri Padang
  • Gunadi Widi Nurcahyo Universitas Putra Indonesia
Keywords: Artificial Neural Network, Backpropagation, Microstrip Antenna, Resonant Frequency

Abstract

The resonant frequency of an antenna is determined by the dimensional parameters and permittivity of the antenna substrate. Generally, to get the resonant frequency, a complex mathematical formula is needed to solve. For this reason, an intelligent method is offered to determine the resonant frequency more easily. In this study, an artificial neural network method with Backpropagation algorithm is used to overcome the problem. The data used were consisting of 80 training data and 15 testing data. The results have shown that the artificial neural network learning method with the backpropagation algorithm was successfully utilized to calculate the resonant frequency of microstrip antennas, where the precision of the resonant frequency obtained of 93.33% at an error of ≤ 1%, and 100% at an error of ≤ 2%.

Published
2019-03-30
How to Cite
[1]
K. Budayawan, Y. Yuhandri, and G. Nurcahyo, “IMPLEMENTASI JARINGAN SYARAF TIRUAN DALAM MEMPREDIKSI FREKUENSI RESONANSI ANTENA MIKROSTRIP”, JTIP, vol. 12, no. 1, pp. 33-40, Mar. 2019.
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