Implementasi Jaringan Syaraf Tiruan Backpropagation untuk Deteksi Penyakit Tuberculosis (TB) Paru dari Citra Rontgen

Authors

  • Ledyva Depinta Jurusan Fisika Universitas Andalas
  • Zulfi Abdullah Jurusan Fisika Universitas Andalas

DOI:

https://doi.org/10.25077/jfu.6.1.61-66.2017

Abstract

Telah dilakukan implementasi Jaringan Syaraf Tiruan (JST) Backpropagation untuk deteksi penyakit tuberculosis (TB) paru dari citra rontgen. Input yang digunakan untuk pelatihan JST adalah citra foto rontgen paru-paru yang terdiri dari TB paru dan paru-paru normal. Proses ini diawali dengan pengolahan citra yaitu cropping, resizing, median filtering, BW Labelling dan ekstraksi fitur menggunakan wavelet haar untuk melakukan pengenalan pola penyakit TB paru. Ekstraksi fitur citra foto rontgen menggunakan fitur energi dan koefisien setiap subband yang kemudian dimasukkan ke jaringan syaraf tiruan. Pengenalan pola yang dapat dilakukan oleh JST pada penelitian ini adalah pola sebaran warna hitam dan putih dari citra rontgen yang telah melewati proses wavelet haar. Parameter yang digunakan yaitu dengan 3 hidden layer, 1 output, learning rate 0,7 dan target error 1000. Hasil pengujian JST backpropagation untuk deteksi penyakit TB paru diperoleh akurasi 79,41% dalam mendeteksi keabnormalan dari citra foto rontgen paru.

 

Kata kunci : Jaringan syaraf tiruan backpropagation, foto rontgen, TB paru

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Published

2017-01-05

Issue

Vol. 6 No. 1 (2017)

Section

Articles

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Copyright (c) 2017 Ledyva Depinta, Zulfi Abdullah

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