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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Inotera JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Rekam Medis dan Manajemen Informasi Kesehatan PELS (Procedia of Engineering and Life Science) Medika Trada Indonesian Journal of Health Information Management Services (IJHIMS) ENGAGEMENT: Jurnal Pengabdian Masyarakat Jurnal manajemen informasi kesehatan MANGGALI ABDIKES TRADA : JURNAL PENGABDIAN MULTIDISIPLIN DAN PEMBERDAYAAN MASYARAKAT Joong-Ki Jurnal Rekam Medis dan Informasi Kesehatan Indonesia Jurnal Mitra Pengabdian Farmasi
Bajeng Nurul Widyaningrum
Politeknik Bina Trada Semarang
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Journal : journal of applied informatics and computing

 1 
Implementation of YOLO v11 for Image-Based Litter Detection and Classification in Environmental Management Efforts Ramadhani, Lingga Kurnia; Widyaningrum, Bajeng Nurul
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9213

Abstract

This research implements YOLO v11 for image-based waste detection and classification to improve waste management efficiency. The model recognizes four categories of waste: inorganic, organic, hazardous and residual. The training results showa mAP@0.5 of 0.989 and a maximum F1 of 0.98 at an optimal confidence level of 0.669. The model had high precision on the Organic (0.995) and B3 (0.991) classes, but faced difficulties in classifying the Residue category. The confusion matrix revealed most of the predictions were accurate, despite some misclassification. The model also showed stable performance under various lighting and background conditions. With this reliability, YOLO v11 can be applied in automated sorting systems to improve recycling efficiency and support sustainable environmental management, although further improvements to data augmentation and class weight adjustment are still needed.
Benchmarking YOLO26 Against YOLOv11 for Minority Class Waste Detection on an Augmented TACO Dataset Lingga Kurnia Ramadhani; Bajeng Nurul Widyaningrum
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13712

Abstract

This study benchmarks YOLO26 against YOLOv11 for detecting minority waste categories (Hazardous/B3 and Residue), evaluating whether YOLO26's Progressive Loss Balancing (ProgLoss) and Small-Target-Aware Label Assignment (STAL) mechanisms address class imbalance and small-object detection challenges. Both models were trained under identical conditions (50 epochs, 640×640) on a combined TACO, RecyBat24, and Food Waste Detection dataset (2,326 images, 70:15:15 split), across three scenarios: YOLOv11 baseline, YOLO26 default, and YOLO26 with class weighting and copy-paste augmentation. YOLO26 (default) achieved a marginally higher mAP@0.5:0.95 (0.393 vs 0.385) and modestly faster CPU inference (≈20% faster) than YOLOv11, with near-identical mAP@0.5 across scenarios. B3 performed consistently well (mAP@0.5 ≈ 0.99), and class weighting improved its detection robustness without raising overall mAP. Residue detection remained the weakest across all scenarios (mAP@0.5 0.076–0.085) and worsened under weighting, indicating that ProgLoss and STAL alone do not resolve its structural visual heterogeneity; this weak, stable Residue performance was confirmed reproducible across three additional training runs with different seeds (mAP@0.5:0.95 = 0.046 ± 0.001). These findings partially support the research hypothesis, positioning YOLO26 (default) as a favorable accuracy-efficiency trade-off for automated waste sorting, while Residue detection requires further data enrichment and augmentation strategies beyond architectural improvements alone.
Co-Authors Agistina Rivana, Baiq Riska Bayu Ariwibowo, Bayu Budiyanto Budiyanto Budiyanto Budiyanto Destri Maya Rani Destri Maya Rani Diah Kari Artati Florentina Nadira Saniman Fuad Abdillah Hendro Prabowo Lingga Kurnia Ramadhani Lutfiyah Rizqulloh Maulina Latifah Maya Rani, Destri Nadiah, Salma Nugroho, Suryanto Nurul Hasanah Puspita, Rina raafi puja Rani, Destri Maya Ratih Dwi Anggraynie Ratna Ratna Renha Maria Pelera Ojan Rina Puspita Sulchan, Sulchan Syafira, Mutia Wiansah, Rizal Andina Widiyanto, Wahyu Wijaya Yuli Arinta Dewi