Aplikasi Sistem Neuro-Fuzzy untuk Pengenalan Kata

Yohanes TDS, Thiang , Suntono Chandra


This paper describes implementation of neuro-fuzzy system, a hybrid system between neural network and fuzzy logic. In this research, neuro-fuzzy system is implemented for speech recognition. The words that would be recognized are "nol", "satu", "dua", "tiga", and "empat". The neuro-fuzzy system had one input layer, four hidden layers, and one output layer.
The experiment was done by compare neuro-fuzzy system with neural network system. The results showed that neuro-fuzzy system give better result than neural network system. Learning time for neuro-fuzzy system was faster than neural network system. Neuro-fuzzy needed 160,000 iterations for learning 270 sound samples. On the contrary, neural network needed 500,000 iterations for learning 270 sound samples. Neuro-fuzzy system could recognize up to 96,36 %. Neural network system could recognize only 62,86 %.

Abstract in Bahasa Indonesia :

Makalah ini menjelaskan tentang aplikasi sistem hybrid antara neural network dan fuzzy logic yang dinamakan sistem neuro-fuzzy. Dalam penelitian ini, sistem hybrid neuro-fuzzy diaplikasikan untuk pengenalan kata yaitu kata "nol", "satu", "dua", "tiga", "empat". Struktur jaringan dari sistem neuro-fuzzy yang digunakan terdiri atas satu input layer, empat hidden layer dan satu output layer.
Sistem ini telah diuji dengan membandingkan struktur neuro-fuzzy dengan neural network. Hasil yang dicapai memperlihatkan bahwa sistem neuro-fuzzy memberikan hasil yang lebih baik dibandingkan dengan sistem neural network. Waktu pembelajaran sistem neuro-fuzzy lebih cepat dibandingkan dengan neural network. Untuk 270 sampel suara, sistem neuro-fuzzy menyelesaikannya dengan 160.000 iterasi sedangkan neural network membutuhkan 500.000 iterasi. Nilai persentase kebenaran tertinggi dari sistem Neuro-fuzzy mencapai 96,36 % sedangkan sistem neural network saja mencapai 62,86 %.

Kata kunci : neural network, neuro-fuzzy, pengenalan kata.


neural network, neuro-fuzzy, speech recognition.

Full Text:



The Journal is published by The Institute of Research & Community Outreach - Petra Christian University. It available online supported by Directorate General of Higher Education - Ministry of National Education - Republic of Indonesia.

©All right reserved 2016.Jurnal Teknik Elektro, ISSN: 1411-870X


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