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All Journal Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat International Journal of Engineering, Science and Information Technology
Mokobombang, Novy Nur R.A
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Astronomy 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 Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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Penerapan Game untuk Belajar Matematika Menyenangkan di Panti Asuhan Al-Khaerat Makassar ., Indrabayu; Warni, Elly; Nurtanio, Ingrid; Yohannes, Chystoporus; Alimuddin, A.Ais Prayogi; Bustamin, Anugrahyani; Areni, Intan Sari; Muslimin, Zaenab; Yusuf, Mukarramah; Mokobombang, Novy Nur R.A; Nurdin, Winati Mutmainnah; Anisah, Siti Nur
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 6 No 2 (2023): Let us Collaborate for Community Issues
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v6i2.414

Abstract

Mathematics is one of the important subjects in the educational curriculum, but it is often considered difficult and boring by some children. This can be an obstacle in their learning process and academic development. Therefore, in an effort to help increase interest and achievement in learning mathematics and develop children's potential and talents, we as a service team from the Department of Informatics Engineering, Faculty of Engineering, Hasanuddin University feel the need to contribute by holding mathematics game socialization activities at Al-Khaerat Makassar Orphanage. The community service carried out at the Al-Khaerat Makassar Orphanage aims to provide new insights for students related to digital learning methods and materials within the scope of mathematics learning with a fun and interactive approach, it is hoped that students can feel more interested and enthusiastic in learning mathematics. The implementation of community service is divided into two stages, namely the socialization stage of learning methods by utilizing technology, in this case smartphones and the training stage of using mathematical educational game applications. The results of the analysis through pre-test and post-test questionnaires show that the use of the Mathology Game application has a significant impact on students mathematics learning in three main aspects, namely: comfort, easy, and understanding of the material.
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.
Co-Authors Alimuddin, A.Ais Prayogi Areni, Intan Sari Bustamin, Anugrahyani Elly Warni Fadhil, Muh. Wira Ramdhani Ida Ayu Putu Sri Widnyani Indrabayu . Indrabayu Indrabayu Ingrid Nurtanio Nurdin, Winati Mutmainnah Suleman, Fitriyanti Yohannes, Chystoporus Yusuf, Mukarramah Zaenab Muslimin Zulkarnain, Eliza