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Journal : Jurnal Teknik Informatika (JUTIF)

Mosquito Species Classification Using Wingbeat Acoustic Signals Based on Bidirectional Long Short-Term Memory Dwifani, Bella Melati Wiranur; Kasyidi, Fatan; Ilyas, Ridwan
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4922

Abstract

The increasing prevalence of mosquito-borne diseases such as Dengue, chikungunya, and malaria underscores the urgent need for effective mosquito vector monitoring. This study proposes a non-invasive classification system of mosquito species based on wingbeat acoustic signals using a deep learning approach with Bidirectional Long Short-Term Memory (BiLSTM). The audio dataset was collected from the Wingbeats repository, consisting of six major mosquito species. Preprocessing was performed using Discrete Wavelet Transform (DWT) to reduce noise. Feature extraction combined Linear Predictive Coding (LPC) and Mel-Spectrogram to represent spectral and temporal signal characteristics. Each binary model was trained in a one-vs-rest scheme to recognize a target species against others, and a BaggingClassifier was used to fuse predictions from six BiLSTM models. Evaluation showed that the proposed system achieved a final accuracy of 96.85% and F1-score of 95.03%, with confusion matrices showing near-diagonal performance. The results indicate that the hybrid LPC-Mel features and ensemble BiLSTM architecture are effective for mosquito species classification using acoustic signals.
A BiLSTM-Based Approach For Speech Emotion Recognition In Conversational Indonesian Audio using SMOTE Nur Shabrina, Nariswari; Kasyidi, Fatan; Ilyas, Ridwan
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5183

Abstract

Speech Emotion Recognition (SER) identifies human emotions through voice signal analysis, focusing on pitch, intonation, and tempo. This study determines the optimal sampling rate of 48,000 Hz, following the Nyquist-Shannon theorem, ensuring accurate signal reconstruction. Audio features are extracted using Mel-Frequency Cepstral Coefficients (MFCC) to capture frequency and rhythm changes in temporal signals. To address data imbalance, Synthetic Minority Over-sampling Technique (SMOTE) generates synthetic data for the minority class, enabling more balanced model training. A One-vs-All (OvA) approach is applied in emotion classification, constructing separate models for each emotion to enhance detection. The model is trained using Bidirectional Long Short-Term Memory (BiLSTM), capturing contextual information from both directions, improving understanding of complex speech patterns. To optimize the model, Nadam (Nesterov-accelerated Adaptive Moment Estimation) is used to accelerate convergence and stabilize weight updates. Bagging (Bootstrap Aggregating) techniques are implemented to reduce overfitting and improve prediction accuracy. The results show that this combination of techniques achieves 78% accuracy in classifying voice emotions, contributing significantly to improving emotion detection systems, especially for under-resourced languages.
Co-Authors Achmad Aziz Adriana, Reyhan Agung Besti Agus Komarudin Akbar, Tzazkia Febriyana Aminuddin Ihsan, Aminuddin Ari Sri Windyaswari Ari Sri Windyaswari, Ari Sri Ariq Irawan, Muhamad Asendra, Irfan Asep Saepul Ridwan Ashaury, Herdy Aziz, Achmad Azmira Mifti Harjana Besti, Agung Chandani Nurul Hafizah Destri Wulansari Dhimas Ariya Wibiksana Djamal, Esmeralda Contesa Dwi Hendratmo Widyantoro Dwifani, Bella Melati Wiranur Eddie Khrisna Putra Eriyadi, Maulidina Norick Esmeralda C Djamal Esmeralda C Djamal Esmeralda C. Djamal Esmeralda C. Djamal Esmeralda Contessa Djamal Fadhilahsyah Ramadhan, Muhammad Diky Fahrauk Faramayuda, Fahrauk Fajri Rakhmat Umbara Fajri Umbara Fatimah Indrianti, Nisa Fitri Nur Suciani Gunawan Abdillah Gunawan Abdillah, Gunawan Hadiana, Asep Id Hidayat, Ferdian Afza Iqbal Prayoga Willyana Ismail, Nursafira Khairunnisa Iyan Taufik Hidayat Janjan Nurjaman Kania Ningsih, Ade Kasyidi, Fatan Luthfi Ahmad Fadhil Masayu Leylia Khodra Maulidina Norick Eriyadi Melina Melina Muhamad Ramdan, Muhamad Muhamad Rizal Firmansyah Muhammad Ramdhani, Muhammad Muhammad, Azri Naufal Akhfasy, Muhammad Neneng Nurhamidah NIDA MUTHI ANNISA Nur Shabrina, Nariswari Nurhamidah, Neneng Nursafira Khairunnisa Ismail Nurul S, Puspita Nurul Sabrina, Puspita Paramita, Veronika Santi Purnama Ginandjar, Ichas Putra, Dion Revaldy Putri, Dhiffa Namira Alifia Ramdani, Maullidan Alfa Rizki Fikri Ramdhan, Edvin Resa Abdilah Reyhan Adriana Deris Reza Dwi Putra Reza Indrawan Rezki Yuniarti Rezky Yuniarti ridwan fauzi Rifaz Muhammad Sukma Rizka Khoirunnisa Guntina Rizki Kurniawan, Moch. Sopian, Annisa Mufidah Susilowati, Merliana Tri Syarafina, Fildzah Tzazkia Febriyana Akbar Wildan Pratama Wina Witanti Yamina Azmi Yoga Esa Mahendra Yulison Herry Chrisnanto Yustiana Fauziyah