Jurnal Teknologi Informasi dan Pendidikan
Vol 12 No 1 (2019): Jurnal Teknologi Informasi dan Pendidikan

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)

Article Info

Publish Date
30 Mar 2019

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%.

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Journal Info
Jurnal Teknologi Informasi dan Pendidikan
Website

Abbrev

tip

Publisher

Universitas Negeri Padang

Subject

Computer Science & IT Control & Systems Engineering Education Engineering

Description

Jurnal Teknologi Informasi dan Pendidikan (JTIP) is a scientific journal managed by Universitas Negeri Padang and in collaboration with APTEKINDO, born from 2008. JTIP publishes scientific research articles that discuss all fields of computer science and all related to computers. JTIP is published ...