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Motorcycle Parking Availability Monitoring Using YOLOv5 and Mobile-Based Systems R. Endro Wibisono; Anita Susanti; Kusuma Refa Haratama; Widi Aribowo; Karin Nur Fitria Ariyanti; Diego Oliva; Hisham A. Shehadeh; Abubakar Umar
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 3 (2026): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i3.16087

Abstract

The increasing number of motorcycles in developing countries has intensified parking management challenges, particularly in high-density environments with irregular vehicle arrangements. This study proposes a motorcycle parking availability detection system using the YOLOv5 object detection algorithm to address limitations of conventional parking methods. The research contribution is the development of a context-aware detection framework using a locally collected dataset and the evaluation of its performance under real-world parking conditions.The dataset consists of 1,200 images collected from campus parking areas and is divided into training, validation, and testing sets. The images were annotated into occupied and vacant classes and trained using YOLOv5 with 100 epochs. Model performance was evaluated using precision, recall, F1-score, and mean Average Precision (mAP@0.5) on a held-out test set.The results show that the model achieves an F1-score of 0.57 and mAP@0.5 of 0.566, indicating moderate detection performance in dense and occluded environments. Although a precision of 1.00 is obtained at a confidence threshold of 0.978, this condition significantly reduces recall, highlighting a trade-off between detection accuracy and coverage. The confusion matrix and recall–confidence analysis reveal that errors are primarily caused by occlusion, shadow effects, and background interference. Compared to previous studies focusing on car parking detection, this system demonstrates comparable performance while addressing the unique complexity of motorcycle parking. However, the relatively small dataset size and environmental variability limit generalization.In conclusion, the proposed system provides a feasible initial approach for motorcycle parking detection, but further improvements in dataset diversity, annotation quality, and model robustness are required to achieve reliable large-scale deployment.
Implementasi Buku Autocad dan Penerapannya untuk Pekerjaan Keilmuan Transportasi Kepada Peserta Didik SMK Negeri 2 Surabaya R. Endro Wibisono; Anita Susanti; Kusuma Refa Haratama; Dadang Supriyatno; Ari Widayanti; Purwo Mahardi
Abimanyu : Jornal of Community Engagement Vol 7 No 2 (2026): August 2026 (In Press)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The number of vocational high school (SMK) graduates is not yet high enough to meet the needs of the workforce. Based on education level, 21.4% are high school/vocational high school graduates, 68.6% have completed a bachelor's degree, and 10% have completed a diploma. This study aims to improve graduates' entrepreneurial skills and absorption in the business/industry world, and universities. One of the development materials is the implementation of the Autocad Application for Transportation Work book, specifically for the Autocad subject. The method used is two-way. The first method is direct assessment, which shows the assessment result categories. The second method is an evaluation method by distributing an online questionnaire to students. The questionnaire measures the extent to which training participants understand Autocad in the transportation sector and its application to the workplace. The results of the book's satisfaction and usefulness regarding the skills and competencies of SMKN 2 Surabaya students after the Autocad training in transportation science were 94.6%. The results of the questionnaire regarding satisfaction and usefulness regarding skills competencies were 100%. The training's relevance to competency provision in the workplace was 100%. The AutoCAD training focuses on transportation science and understanding, particularly in the use of AutoCAD. This indicates that 94.6% of students possess AutoCAD skills for transportation work. The relevance of the material to the workplace was demonstrated, with 40.5% rating it as 3 (Sufficient), 32.4% rating it as 4 (Good), and 21.6% rating it as 5 (Excellent)