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All Journal Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat JMM (Jurnal Masyarakat Mandiri) JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Teknologi Dan Sistem Informasi Bisnis Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Applied Data Sciences Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Ekonomika Dan Bisnis Jurnal Komtekinfo Sistem Pendukung Keputusan dengan Aplikasi Jurnal Pengabdian Masyarakat Dharma Andalas SATIN - Sains dan Teknologi Informasi The Indonesian Journal of Computer Science
Febri Hadi
Universitas Putra Indonesia YPTK Padang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Public Health Social Sciences Other

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Automated Pixel-Level Concrete Defect Detection using U-Net Architecture: A Comparative Study with Clustering-Based Segmentation Halifia Hendri; Larissa Navia Rani; Sofika Enggari; Agung Ramadhanu; Febri Hadi
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1298

Abstract

Concrete surface defect detection is a critical aspect of maintaining the integrity and safety of infrastructure in civil engineering. Traditional manual inspection methods are time-consuming, prone to human subjectivity, and often limited by physical accessibility, necessitating the development of robust automated solutions. This paper presents an automated pixel-level concrete surface defect detection system utilizing the U-Net deep learning architecture. The primary contribution and novelty of our approach lie in optimizing the network's encoder-decoder structure with skip connections to effectively capture both broad contextual features and precise spatial localization. This overcomes the critical limitations of existing traditional methods, which frequently struggle with complex concrete background textures, inherent noise, and uneven illumination. To validate our approach, the proposed U-Net model is systematically compared against a widely used baseline method, K-Means clustering combined with Gray-Level Co-occurrence Matrix (GLCM) texture analysis. The evaluation was conducted using a comprehensive dataset consisting of 1000 high-resolution concrete images. Experimental results reveal that the deep learning architecture vastly outperforms the traditional baseline. Specifically, the U-Net model achieved an outstanding F1-Score of 92.47%, a precision of 93.18%, and a mean Intersection over Union (mIoU) of 86.55%. In stark contrast, the K-Means and GLCM approach only yielded an F1-Score of 69.83% and an mIoU of 54.21%. These quantitative findings demonstrate that the proposed U-Net-based system not only successfully minimizes false segmentations but also provides a highly reliable, efficient, and scalable computational framework. Ultimately, this research delivers a practical solution that can be seamlessly integrated into continuous automated structural health monitoring systems, paving the way for safer and more proactive civil infrastructure management.
Co-Authors , Shary Armonitha Lusinia Ariandi, Vicky Aulia Fitrul Hadi Defra Irawan Devia Kartika Dheatri Agrema Dodi Guswandi Eliza Eliza Erdian, Muhammad Habib Febri Aldi Gema, Rima Liana Gushelmi Hadi Syahputra hadi syahputra Hadi, Meswantri Halifia Hendri Harma, Wahri Heri yanto irawan, Defra Irzal Arief Wisky Iskandar Fitri Larissa Navia Rani Mardison Mardison Mayola , Liga Meswantri, Meswantri Meta, Monanda Rio Muhammad Afdhal Musli Yanto Musli Yanto Nadya Alinda Rahmi Paisal, Hena Utami Putri Pohan, Nurmaliana Pradani Ayu Widya Purnama Prayogi Wicaksana Rahman, Sepsa Nur Ramadhanu, Agung - Randy Permana Rizky Rianda Sarjon Defit Satria Yulanda Shary Armonitha Lusinia Sofika Enggari Sumijan Sumijan Sumijan Syafri Arlis Syafrika Deni Rizki Vicky Ariandi Vicky Ariandi Wulan Ayu Safitri yanto, heri Yenila, Firna Yogi Wiyandra Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yusvi Diana Zefriyenni Zefriyenni, Zefriyenni