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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Edsence: Jurnal Pendidikan Multimedia Building of Informatics, Technology and Science Jurnal Mnemonic Jurnal ABDINUS : Jurnal Pengabdian Nusantara JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pengabdian UNDIKMA Jurnal Difusi Journal of Software Engineering, Information and Communication Technology Jurnal Pengabdian Masyarakat IPTEK Green Intelligent Systems and Applications SisInfo : Jurnal Sistem Informasi dan Informatika Jurnal Informatika Polinema (JIP) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Gelar, Trisna
Politeknik Negeri Bandung
Religion Agriculture, Biological Sciences & Forestry 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Peningkatan Kompetensi Abstraksi dan Dekomposisi Computational Thinking Melalui LKPD Digital dan Card Mat Modular bagi Guru SMPN 1 Baleendah Gelar, Trisna; Firdaus, Lukmannul Hakim; Rullyana, Gema
Jurnal Pengabdian UNDIKMA Vol. 7 No. 2 (2026): May (IN PRESS)
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i2.18540

Abstract

This community service program aims to enhance the pedagogical competence of teachers at State Junior High School 1 Baleendah in applying the concepts of Abstraction and Decomposition in Computational Thinking (CT) within the learning process, while improving operational efficiency in managing teaching materials through the utilization of structured digital systems and media. The program was implemented using a participatory approach with an integrated hybrid intervention. The effectiveness of the intervention was evaluated using a one-group pretest-posttest design with cognitive understanding tests and rubric-based performance observation sheets, which were subsequently analyzed using descriptive quantitative methods. The results showed that the hybrid model was effective in overcoming pedagogical barriers, as evidenced by a significant improvement in conceptual understanding and the quality of CT implementation in learning activities, with an average post-test score increase of 15%. In addition, operational inefficiency was addressed through improved time efficiency in preparing teaching materials, reaching an increase of at least 60%. This model also generated findings regarding the effectiveness of Hexagon Chips as cognitive artifacts for mediating the visualization of the concepts of Abstraction and Decomposition in Computational Thinking.
YOLOv8 to YOLO11 Performance Benchmark and Comprehensive Architectural Comparative Review Hidayatullah, Priyanto; Syakrani, Nurjannah; Sholahuddin, Muhammad Rizqi; Gelar, Trisna; Tubagus, Refdinal
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.6598

Abstract

In the domain of deep learning-driven computer vision, YOLO is revolutionary. However, not all YOLO models are accompanied by academic articles and architectural diagrams. It complicates the comprehension of the model's operation. Moreover, the existing review papers fail to examine each model comprehensively. This work aims to provide a thorough comparative analysis of the architectures from YOLOv8 to YOLO11, allowing readers to swiftly understand the operational mechanisms and differences among the models. We analyzed the architecture of each YOLO version by reviewing relevant scholarly articles, official documentation, and examining the source code. In particular, we discovered that YOLOv8 through YOLO11 differ in novelty while sharing similarities in the anchor-free and Non-Maximum Suppression (NMS) aspects, except YOLOv10 (NMS-free). Each also has drawbacks, such as differing levels of complexity in the way features are connected (v8), architectural structure and training (v9), training methods or dual assignments (v10), inference, and code implementation (v11). While each version improves architecture, some blocks remain unchanged. This study helps readers understand different YOLO version architectures and inspires how to improve their performance. It also provides readers with a comprehensive architecture diagram and detailed descriptions of each block, serving as a reference for both academic and practical applications. In terms of performance, a benchmark using the Roboflow 100 dataset reveals that YOLOv9 achieves superior accuracy; however, it is eight times slower owing to its NMS mechanism. YOLOv10 is the fastest but least accurate, whereas YOLOv8 and YOLO11 provide a balanced compromise between speed and accuracy.
Co-Authors Abdurrahman, Muhammad Syahid Ade Hodijah Athiyya Rahmawati Auliarahmi, Rizka Bakhrun, Akhmad Budiman Cholid Fauzi Didik Suwito Pribadi Djoko Cahyo Utomo Lieharyani Eddy Bambang Soewono Fabillah, Dzakira Firdaus, Lukmannul Hakim Fuad, Raihan Ghifari Munawar Hamdani, Nisrina Wafa Zakiya Hayati, Hashri Hilmy Oktoharitsa Itikap, Sabar Muhamad Iwan Awaludin Jonner Hutahaean Kadhafi, Irvan Lukmanul Hakim Firdaus Melinia, Gina Mugi Pangestu Muhammad Fikri Muhammad Riza Alifi Muhammad Rizqi Sholahuddin Nandhifa Azzahra Naufal Taufik Naylassana, Fauza Pasya, Raditya Permana, Heru Pratidina, Caturiani Priyanto Hidayatullah, Priyanto Rachmat, Setiadi Ratna Wulan, Sri Ridho Wiratama, Anshar Rullyana, Gema Safira, Decia Sari, Aprianti Nanda Sitepu, Rezky Wahyuda Siti Dwi Setiarini Sofy Fitriani Solahudin, Muhammad Rizqi Suprihanto Suprihanto Syakrani, Nurjannah Tubagus, Refdinal Urip Teguh Setijohatmo Widhiyasana, Yudi Wisnuadhi, Bambang