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An Improvement of License Plate Detection Under Low Light Condition Using CLAHE and Unsharp Masking Suleman, Fitriyanti; Indrabayu, Indrabayu; Mokobombang, Novy Nur R.A; Zulkarnain, Eliza; Fadhil, Muh. Wira Ramdhani
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1654

Abstract

The rapid increase in vehicle numbers has rendered traditional manual traffic monitoring approaches inefficient and unreliable, thereby emphasizing the need for intelligent, automated systems to assist in traffic management and law enforcement. Among these, Automatic License Plate Recognition (ALPR) systems play a crucial role in detecting and tracking vehicles. However, their performance often deteriorates under low-light or poor visibility conditions, leading to reduced detection accuracy. To address this limitation, this study proposes a two-stage image enhancement pipeline that integrates Contrast Limited Adaptive Histogram Equalization (CLAHE) and Unsharp Masking (USM) techniques with the advanced YOLOv11 object detection model. The dataset utilized comprises 1,496 images extracted from Electronic Traffic Law Enforcement (ETLE) video footage captured in Makassar, Indonesia. These images were systematically divided into training, validation, and testing sets in a 70:20:10 ratio to ensure balanced model evaluation. Four experimental scenarios were conducted to assess the contribution of each enhancement method. The results revealed that the combined application of CLAHE and USM significantly improved detection accuracy, achieving a Precision of 0.945, Recall of 0.977, and a mean Average Precision (mAP@0.5:0.95) of 0.830—outperforming all other configurations. These findings confirm that the synergistic use of contrast enhancement and edge sharpening effectively mitigates the challenges posed by low-light environments. Consequently, the proposed approach enhances the robustness, clarity, and reliability of ALPR systems, offering a practical solution for real-world intelligent transportation applications and automated traffic law enforcement.
Dinamika Literasi Digital Guru Kelas dalam Mengintegrasikan Teknologi Dalam Pembelajaran Siti Arnanda Makalalag; Siti Savira Pontoh; Warraihan Musbihin R.H.D; Julfikar Kadir; Febrianti Ayuba; Fitriyanti Suleman
Jurnal Pendidikan Guru Madrasah Ibtidaiyah Al-Amin Vol. 5 No. 1 (2026): April
Publisher : STAI AL-AMIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54723/ejpgmi.v5i1.606

Abstract

This research is motivated by the importance of digital literacy of classroom teachers in supporting the integration of technology in learning in elementary schools. Technological developments require teachers not only to be able to use digital devices technically, but also to integrate them pedagogically so that learning becomes more effective, interesting, and in accordance with the needs of students. In the context of SD Negeri 12 Bintauna, the use of technology in learning has been carried out, but it still shows differences in the level of mastery, form of utilization, and readiness of teachers. This study aims to examine the dynamics of digital literacy of classroom teachers in integrating technology in learning at SD Negeri 12 Bintauna and identify the forms of technology integration carried out by classroom teachers in the learning process. This study uses a qualitative approach with a descriptive type. Data was collected through observation, interviews, and documentation, then analyzed with stages of data reduction, data presentation, and conclusion drawn. The results of the study show that the digital literacy of classroom teachers is dynamic and develops gradually, but not evenly. Technology is used to find teaching materials, present materials, use visual and video media, communicate, and develop learning administration. It was concluded that technology integration has taken place, but it still needs continuous reinforcement to be more pedagogical, interactive, and student-centered.