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All Journal Dinamik Elkom: Jurnal Elektronika dan Komputer BERNAS: Jurnal Pengabdian Kepada Masyarakat Abdi Kami : Jurnal Pengabdian Kepada Masyarakat Madaniya MEANS (Media Informasi Analisa dan Sistem) Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Cakrawala Informasi (JCI) Jurnal Pengabdian Kepada Masyarakat Alkhidmah: Jurnal Pengabdian dan Kemitraan Masyarakat Jurnal Pengabdian Masyarakat Journal of New Trends in Sciences
Aji Priyambodo
Institut Teknologi Dan Bisnis Semarang
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Integrasi Bioakustik dan Sains Komputasi untuk Memetakan Komunikasi Mamalia Laut sebagai Upaya Konservasi Satwa Dilindungi di Samudera Tropis Aji Priyambodo; Hesti Ristanto
Journal of New Trends in Sciences Vol. 1 No. 3 (2023): Agustus: Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v1i3.777

Abstract

This study aims to analyze the communication of marine mammals, especially whales and dolphins, through a bioacoustic approach combined with computational science as an effort to support conservation in the Tropical Ocean region. The focus of the location is on the Banda Sea, the Seram Sea, and the tropical Pacific region which are important migration routes for marine mammals. Data were obtained from underwater sound recordings using hydrophones, accompanied by visual observations to validate the behavior and existence of species. The analysis is carried out through several stages, including signal pre-processing with noise filtering and sound segmentation, spectral analysis using Fast Fourier Transform (FFT), as well as the creation of a spectrogram to visualize vocalization patterns. Machine learning algorithms such as Support Vector Machine (SVM) are used to classify interspecies voices, while deep learning approaches are applied to identify more complex communication patterns, including dialect variations. The results showed that whales produced low-frequency vocalizations (20–200 Hz) for long-distance communication, while dolphins used high-frequency clicks and whistles (5–20 kHz) for echolocation and social interaction. The integration of bioacoustics and artificial intelligence improves the accuracy of sound classification by more than 90%. These findings confirm the effectiveness of computational-based non-invasive methods in monitoring the presence and behavior of marine mammals and provide a scientific basis for sustainable conservation.
Co-Authors Aditya, Galuh Agus Ariawan Andreas Tigor Oktaga, Andreas Anggun Putri Dwi Anggun Putri Dwi Meilina Bambang Widjanarko Susilo Fathkul Amin Heses, Martius Apun Ika Susanti Indradno, Jasman Kristiawan Nurdianto Kristiawan Nurdianto Kristiawan Nurdianto Marsiska Ariesta Putri Martinus Apun Heses Martinus Apun Heses Martius Apun Heses Muhammad Toriq Firmansyah Munadi Munadi Novita Mariana Nur Fatoni Nurdianto, Kristiawan Prihati Prihati , Prihati Prihati . Prihati Prihati Prihati Prihati R. Soelistijadi Ristanto, Hesti Safari, Teti Siska Narulita Stanislaus Wahyu Eka Teguh Khristianto Tri Arianto Umi Fadlilah Hidayanti Yoki Nawan Gunara