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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal PkM MIFTEK
Latif, A. Abdul
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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PENERAPAN KAWAL DESA UNTUK KEBUTUHAN TATA KELOLA DESA SIRNAGALIH BAYONGBONG Mulyani, Asri; Juliansyah, Fauzan Romi; Febrianti, Tiara; Rengganis, Nadia Fauziah; Saparudin, Hopid; Slamet, Bagus; Latif, A. Abdul; Haolilah, Siti; Fathon, Ahmad; Wahdaniah, Hamidah Nur; Ramdani, Idham; Putri, Elsinta Ismawati; Jamiludin, Irfan; Rahayu, Maulida Fasha; Saadah, Roro; Alfiansyah, Dandan; Ahzam, Faiq Muhammad; Alhakim, Much Kahfi; Nurpajar, Dini Siti; Gustiawan, Restu Fajar
Jurnal PkM MIFTEK Vol 4 No 2 (2023): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.4-2.1475

Abstract

Along with current developments in technology and information, it is hoped that villages can implement applications that can help administration and facilitate communication with the community. Kawal Desa is an application or platform used for village governance needs and interaction between residents and officials. Based on these problems, the aim of this Work Lecture activity is to implement the Kawal Desa application to help village officials and the community manage community activities more effectively and efficiently. The approach used is by providing assistance and training to village officials and community leaders. As a result of implementing village guard, village administration can be well organized, and make it easier to monitor community activities and communication.
Benchmarking YOLOv8 Variants with Transfer Learning for Real-Time Detection and Classification of Road Cracks and Potholes Kurniadi, Dede; Latif, A. Abdul; Mulyani, Asri; Aulawi, Hilmi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6710

Abstract

Road damage, including potholes and cracks, is a significant issue frequently encountered in road infrastructure in many regions. Such conditions accelerate road degradation, increase the risk of traffic accidents, and significantly increase the maintenance and repair costs. Although several deep learning models have been proposed for road damage detection, few studies have systematically compared the performance of lightweight YOLOv8 variants using a consistent dataset. To address this gap, this study proposes a road defect detection and classification model based on the YOLOv8 series, which is enhanced using transfer learning to improve performance and efficiency. The dataset, obtained from Roboflow, comprises 3,846 images categorized into training, validation, and testing sets. Three YOLOv8 variants—YOLOv8n, YOLOv8s, and YOLOv8m—were benchmarked for performance. A performance evaluation was performed using the metrics of precision, recall, and mean Average Precision (mAP). Results show that YOLOv8m achieved the highest precision (99.00%), recall (98.40%), and mAP (99.50%). In the pothole category, precision reached 98.70% and recall 99.30%; in the crack category, precision was 99.30% and recall 97.60%. The findings demonstrate that YOLOv8, particularly the YOLOv8m variant, is highly effective for real-time road damage detection and classification, offering a viable solution for intelligent transportation systems and automated infrastructure monitoring. This research has the potential to revolutionize infrastructure monitoring by enabling scalable, real-time, and cost-effective assessments of road conditions. It minimizes reliance on manual inspections, reduces human errors, and contributes to the development of intelligent transportation systems and predictive maintenance strategies.
Co-Authors Ahzam, Faiq Muhammad Alfiansyah, Dandan Alhakim, Much Kahfi Asri Mulyani Dede Kurniadi Fathon, Ahmad Febrianti, Tiara Gustiawan, Restu Fajar Haolilah, Siti Hilmi Aulawi Jamiludin, Irfan Juliansyah, Fauzan Romi Nurpajar, Dini Siti Putri, Elsinta Ismawati Rahayu, Maulida Fasha Ramdani, Idham Rengganis, Nadia Fauziah Saadah, Roro Saparudin, Hopid Slamet, Bagus Wahdaniah, Hamidah Nur