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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management)
Simon, Okta
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Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Engineering Environmental Science

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Object detection of the bornean orangutan nests using drone and YOLOv5 Teguh, Rony; Dwijaya Maleh, I Made; Sagit Sahay, Abertun; Porkab Pratama, Muhamad; Simon, Okta
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1640-1649

Abstract

Object detection methods when applied to ecology and conservation can help to identify and monitor endangered species and their habitats. Using drones for this purpose has become increasingly popular due to their ability to cover large areas quickly and efficiently. In this study, we aim to implement object detection using YOLOv5 to detect orangutan nests in forests. To conduct our experiment, we collect drone imagery under different conditions. We propose to use the original YOLOv5 to implement our model. The detection and monitoring of orangutan nests can help conservationists to identify critical habitats, monitor population, and design effective conservation strategies. Additionally, the use of drones can reduce the need for on-the-ground surveys, which can be time-consuming, expensive, and logistically challenging. In our study proposes a model for detecting orangutan nests in forests using a drone and the YOLOv5. Our model predicted 1,970 training images and 414 labeled orangutan nests, with a precision of 0.973, recall 0.949, accuracy mean average precision (mAP)_0.5 is 0.969, and mAP_0.5:0.95 is 0.630. The model finished 217 epochs in 58 hours and had a high object detection accuracy. The model has a 99.9% accuracy in detecting the number of orangutan nests.
Beberapa Aspek Biologi Reproduksi Catfish Predator Indonesia (Wallagonia leerii Bleeker, 1851) di Sungai Sebangau Kalimantan Tengah Riza, Nurasiah; Butet, Nurlisa Alias; Kamal, Mohammad Mukhlis; Wibowo, Arif; Simon, Okta; Ansori, Ma'mun
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 11 No 2 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.2.276-284

Abstract

Ikan tapah (Wallagonia leerii) merupakan salah satu jenis ikan yang bernilai ekonomis penting dan terkenal karena ukurannya yang besar dan menjadikan ikan ini sebagai target utama penangkapan di Sungai Sebangau. Eksploitasi yang berlebihan dikhawatirkan dapat menyebabkan penurunan dan mengancam kelestarian ikan tapah yang penyediaannya masih bergantung pada alam. Tujuan dari penelitian ini adalah untuk menjelaskan biologi reproduksi ikan tapah yang meliputi nisbah kelamin, tingkat kematangan gonad, indeks kematangan gonad dan fekunditas. Total 96 ekor ikan tapah yang diperoleh menggunakan alat tangkap perangkap ikan dan seine net selama tiga bulan pada lima lokasi sampling di Sungai Sebangau. Hasil penelitian ini yaitu nisbah kelamin ikan tapah untuk semua sampel yaitu 1:0,9 dan berdasarkan uji Chi-square dengan selang kepercayaan 95% menunjukkan hasil yang mendekati pola 1:1. Nilai indeks kematangan gonad untuk jantan dan betina berkisar antara 0,110% – 0,522% dan 0,112% – 0,651%.Waktu pemijahan berlangsung dari bulan Desember hingga Januari. Total fekundittas dari 11 betina ikan tapah berkisar antara 2976 - 155501 telur dgan rata-rata 43334 telur.
Co-Authors Ansori, Ma'mun Arif Wibowo Dwijaya Maleh, I Made Mohammad Mukhlis Kamal Nurlisa Alias Butet Porkab Pratama, Muhamad Riza, Nurasiah Rony Teguh Sagit Sahay, Abertun