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All Journal Edu Komputika Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Insect (Informatics and Security) : Jurnal Teknik Informatika JMM (Jurnal Masyarakat Mandiri) Progresif: Jurnal Ilmiah Komputer Abdi Masyarakat Jurnal Bumigora Information Technology (BITe) International Journal of Business, Technology, and Organizational Behavior (IJBTOB) Jurnal Pengabdian Masyarakat Nusantara Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Journal of Informatics and Communication Technology (JICT) IJMST
Firmansyah Firmansyah
Universitas Islam Al-Azhar
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Development of Interactive Multimedia Applications for Local Culture Awareness Ziad Iqbal, Muhammad; Firmansyah; Pratama, Yusuf Hendra; Wijaya, Setiawan Ardi
Indonesian Journal of Modern Science and Technology Vol. 1 No. 3 (2025): September
Publisher : CV. Abhinaya Indo Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64021/ijmst.1.3.71-77.2025

Abstract

Local culture is a valuable heritage that needs to be introduced and preserved, especially in the face of globalization, which causes younger generations to become increasingly disconnected from their cultural identity. This study aims to develop an interactive multimedia application based on Android as a tool for educating and introducing local culture to high school students. The Research and Development (R&D) method with the ADDIE approach (Analysis, Design, Development, Implementation, and Evaluation) was employed. The test subjects were 60 eleventh-grade students from a high school in West Java. The developed application, named BudiLokal, contains various cultural content, including traditional music, dance, folk tales, musical instruments, and interactive audio-visual quizzes. Evaluation was conducted using a usability questionnaire based on the System Usability Scale (SUS) and pre- and post-tests to measure improvements in student understanding. The research results indicated an average SUS score of 82 (excellent category) and a post-test score increase of 21.8 points compared to the pre-test (p < 0.001). Additionally, 88% of the respondents stated that the application made them more interested in learning about local culture. These findings support the multimedia learning theory, which suggests that presenting material through a combination of text, images, sound, and animation can significantly improve understanding and motivation to learn. This study recommends further development of the application by incorporating Augmented Reality (AR) and Virtual Reality (VR) features for a more immersive learning experience. The BudiLokal application has proven to be an innovative solution in cultural preservation through an adaptive educational approach aligned with technological advancements.
Comparative Analysis of YOLOv8 and YOLOv11 Algorithms for Real-Time Vehicle Detection Muhammad Jordan; Firmansyah; Hasan Koten
Indonesian Journal of Modern Science and Technology Vol. 2 No. 2 (2026): May
Publisher : CV. Abhinaya Indo Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64021/

Abstract

Intelligent transportation systems required rapid and highly accurate object detection algorithms to function effectively in real-time environments. Although the You Only Look Once (YOLO) architecture evolved significantly to address these demands, comprehensive performance comparisons between its latest iterations remained sparse in the context of urban traffic. Selecting the optimal model for specific deployment constraints remained a critical challenge for developers. To address this gap, this research comparatively evaluated the performance of YOLOv8 and the newly released YOLOv11 specifically for vehicle detection tasks. The primary contribution was providing a rigorous, empirical head-to-head comparison to guide model deployment based on specific accuracy needs and hardware constraints. The methodology employed a standardized public dataset of traffic imagery containing various vehicle classes. Both nano variants, namely YOLOv8n and YOLOv11n, were trained from scratch under identical hardware environments and hyperparameter settings. Specifically, the training utilized the AdamW optimizer for fifteen epochs with a batch size of sixteen. Performance was quantitatively measured using Precision, Recall, mean Average Precision (mAP50 and mAP50-95), and computational resource allocation in terms of parameter size. The experimental results indicated a nuanced performance dynamic. YOLOv11n demonstrated a vastly superior Precision score of 0.784 compared to 0.672 for YOLOv8n, signifying its enhanced reliability with fewer false alarms due to refined spatial attention modules. Conversely, YOLOv8n outperformed YOLOv11n in Recall (0.695 versus 0.662) and mAP50 (0.746 versus 0.740). This suggested that YOLOv8n achieved faster learning convergence under constrained training conditions. Both models maintained real-time processing capabilities suitable for edge devices. In conclusion, YOLOv11n was recommended for high-accuracy traffic surveillance systems prioritizing precision, whereas YOLOv8n remained a highly viable architecture for hardware-constrained applications that prioritized high recall and aggressive object detection.
Co-Authors Abdul Fadlil Abqari, Rifqi Sulthon Ahmad Arfin Apriliya Yudistira Azhari, Elfan Baiq Qistinnisa Bayu Wibisana Bayu Wibisana Dahniar Nur Aida Fathurrahman Walidain Firmansyah Firmansyah Fitrianingsih, Baiq Halpiah, Halpiah Hasan Koten Hendri Purnomo Hery Astika Putra Imam Riadi Iqbal, Muhammad Ziad Jordan, Muhammad Khairul Warisin Hammami M. Hidayaturrahman Mina Ukup Piya Muaya Feriyana Muh. Fadli Hasa Muhammad Amirul Mu'min Muhammad Jordan Muhammad Ziad Iqbal Muhammad Ziad Iqbal Piya, Mina Ukup Purnumo, Hendri Putrawan Hadi Rizki Ananta Rusydi Umar Shafira Azizah Sunardi, Sunardi Wahyu Saputra Warisin Hammami, Khairul Wijaya, Setiawan Ardi Yana Safitri, Yana Yusuf Hendra Pratama Ziad Iqbal, Muhammad