SISTEM DETEKSI JENIS BURUNG MENGGUNAKAN IMPLEMENTASI YOLOv11

Authors

  • Shania Dila Vanesa Universitas Nusantara PGRI Kediri Indonesia
  • Made Ayu Dusea Widyadara Universitas Nusantara PGRI Kediri Indonesia
  • Umi Mahdiyah Universitas Nusantara PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/7k0cw598

Abstract

Identifikasi jenis burung secara manual memerlukan keahlian khusus dan rentan terhadap kesalahan, terutama pada spesies yang memiliki kemiripan morfologi tinggi seperti burung merpati. Penelitian ini bertujuan mengembangkan sistem deteksi otomatis untuk mengidentifikasi burung merpati menggunakan algoritma YOLOv11 yang dapat menerima input melalui unggahan gambar maupun kamera webcam. Metode penelitian meliputi pengumpulan dataset berisi gambar berlabel, preprocessing data, pelatihan model YOLOv11, dan evaluasi sistem menggunakan 100 gambar uji yang terdiri dari 50 gambar merpati dan 50 gambar bukan merpati. Hasil pengujian menunjukkan sistem mencapai akurasi 88%, precision 89,6%, recall 86%, dan F1-Score 87,8 %. Confusion matrix menunjukkan 43 true positive, 45 true negative, 5 false positive, dan 7 false negative. Sistem ini memberikan solusi efisien untuk digitalisasi identifikasi burung dan dapat diimplementasikan sebagai alat bantu praktis dalam penelitian ornitologi dan monitoring ekosistem.

Keywords:

deteksi otomatis, identifikasi burung, merpati, sistem klasifikasi, YOLOv-11

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Published

2025-07-10

Issue

Vol. 9 No. 2 (2025): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2025

Section

Articles

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Copyright (c) 2025 Shania Dila Vanesa, Made Ayu Dusea Widyadara, Umi Mahdiyah

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How to Cite

SISTEM DETEKSI JENIS BURUNG MENGGUNAKAN IMPLEMENTASI YOLOv11. (2025). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 9(2), 1223-1230. https://doi.org/10.29407/7k0cw598