Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JURNAL INSTEK (Informatika Sains dan Teknologi)
Setiawan, Moch Adi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
YOLO11m-Based Vehicle Counting for Standardized CO₂ and CO Emission Estimation from Semarang CCTV Setiawan, Moch Adi; Saraswati, Galuh Wilujeng; Lutfina, Erba; Ratmana, Danny Oka; Caturkusuma, Resha Meiranadi
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 11 No 2 (2026): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v11i2.73033

Abstract

This study evaluated YOLO11m-based vehicle counting in Pantau Semar CCTV recordings and analyzed how class-specific counting differences affect standardized CO₂ and CO estimates. The dataset comprised 12,000 images: 9,120 for training, 2,280 for validation, and 600 for testing. Model development used main training and corrective fine-tuning with Ultralytics. A Python pipeline combined ByteTrack, class stabilization, and line-crossing counting. Automated counts were compared with manual reference counts across six daytime and nighttime recordings from three locations. The detector achieved precision of 0.904, recall of 0.895, mAP₅₀ of 0.947, and mAP₅₀–₉₅ of 0.833. The system counted 7,444 vehicles compared with 7,667 manually, a difference of −2.91%; daytime and nighttime differences were +0.88% and −6.55%, respectively. Using identical emission factors and a one-kilometer reference distance, system-derived estimates were 1.70–3.88% lower for CO₂ and 2.79–4.94% lower for CO across six scenarios. The study shows how class-specific counting errors and emission factors produce emission-estimate differences that cannot be inferred from total-count differences alone. Findings are limited to the evaluated recordings and assumptions; the results are standardized comparative estimates rather than measurements of actual emissions.
Co-Authors Caturkusuma, Resha Meiranadi Lutfina, Erba Ratmana, Danny Oka Saraswati, Galuh Wilujeng