etode Identifikasi Nyamuk Aedes Melalui Audio Yang Tahan Terhadap Variasi Kanal Perekam Menggunakan Gammatone Filter Dan MLP

• MARIYANTO
• 14210250

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ABSTRAK

ABSTRAK

Nama              : Mariyanto

NIM                 : 14210250

Program Studi : Ilmu Komputer

Fakultas           : Teknologi Informasi

Jenjang            : Strata Dua (S2)

Konsentrasi      : Data Mining

Judul Tesis     : “ Metode Identifikasi Nyamuk Aedes Melalui Audio Yang Tahan Terhadap Variasi Kanal Perekam Menggunakan Gammatone Filter Dan MLP” 

Perbedaan kondisi lingkungan dan penggunaan alat perekam yang beragam dapat menyebabkan variasi kanal audio yang signifikan. Model yang dibuat dengan Machine Learning biasanya kurang tahan terhadap variasi kanal audio. Penelitian ini bertujuan untuk meningkatkan ketahanan model dalam mengidentifikasi Aedes Aegypti dan Aedes Albopictus melalui analisis spektral audio. Pendekatan yang digunakan melibatkan teknik manipulasi audio seperti normalisasi, channel equalization, dan histogram equalization. Pemodelan dilakukan menggunakan berbagai arsitektur machine learning, termasuk Multi-Layer Perceptron (MLP), Convolutional Neural Network (CNN), Gated CNN, Long Short-Term Memory (LSTM), dan Gated Recurrent Unit (GRU). Fitur-fitur ekstraksi melibatkan ShortTime Fourier Transform (STFT), Filter Bank (FBank), Mel-Frequency Cepstral Coefficients (MFCC), Gammatone Frequency Cepstral Coefficients (GFCC), dan Power Normalized Cepstral Coefficients (PNCC). Hasil pengujian menunjukkan bahwa kombinasi antara histogram equalization, MLP, dan GFCC menghasilkan kinerja optimal. Pada dataset Wingbeats, tingkat akurasi tertinggi mencapai 93,82%. Selain itu, model ini juga menunjukkan kinerja yang baik pada dataset Humbugdb dengan akurasi 83,08% dan pada dataset Dryad dengan akurasi 75,86%. Temuan ini memberikan kontribusi berharga dalam mengembangkan model yang tangguh dan dapat menjadi dasar yang solid dalam mendukung upaya pengawasan dan pengendalian penyakit yang disebabkan oleh nyamuk Aedes Aegypti dan Aedes Albopictus.

KATA KUNCI

Aedes Aegypti,GFCC,MLP,Histogram Equalization,ketahanan model

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DAFTAR PUSTAKA

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