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Adaptive ant colony optimization integrated with dynamic risk mapping for tactical vehicle path planning in dynamic battlefields Nick Holson M. Silalahi; Eryan Ahmad Firdaus; Herwin Melyanus Hutapea
Journal of Defense Technology and Engineering Vol. 1 No. 1 (2025): July, Journal of Defense Technology and Engineering
Publisher : Fakultas Teknik dan Teknologi Pertahanan, Universitas Pertahanan Republik Indonesia

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Abstract

The movement of combat vehicles in modern battlefields faces complex challenges in the form of uncertain terrain, dynamic enemy threats, and limited real-time information, making conventional methods such as Dijkstra or A* less capable of optimising routes adaptively. This research aims to develop an Adaptive Ant Colony Optimization (ACO) algorithm model integrated with a dynamic risk map to determine safe, fast, and efficient routes for combat vehicles. The methodology employed includes designing an adaptive ACO with risk-based pheromone update mechanisms, modeling dynamic risk maps using Gaussian probability functions and Markov models, and conducting graph-based battlefield simulations to evaluate algorithm performance. Evaluation was conducted by comparing the adaptive ACO with baseline algorithms (Dijkstra, A*, and Particle Swarm Optimization) using metrics such as Safety Index (SI), Time Efficiency (TE), Adaptability, and Computational Cost (CC). The results show that the adaptive ACO consistently produces paths with the highest SI values, competitive time efficiency, and better real-time adaptability compared to the baseline, while path visualization demonstrates the algorithm's ability to dynamically avoid high-risk areas. These findings indicate that integrating adaptive ACO with dynamic risk maps provides safer and more flexible navigation strategies, with significant potential for application in autonomous combat vehicles, UAV systems, and military operations based on intelligent simulation. This research contributes to the development of adaptive path optimization algorithms in dynamic battlefields, bridges the literature gap related to risk-based navigation, and provides a framework that can serve as the foundation for developing military decision support systems based on artificial intelligence. 
Peningkatan Literasi Digital melalui Program Edukasi Bijak Bermedia Sosial bagi Siswa Kelas XII SMA Negeri 1 Plered Jonson Manurung; Eryan Ahmad Firdaus; Muhammad Azhar Prabukusumo; Rochedi Idul Adha; Cloudio Egi Primsa Ginting
Jurnal Pengabdian Masyarakat Nauli Vol. 5 No. 1 (2026): Agustus, Jurnal Pengabdian Masyarakat Nauli
Publisher : Marcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/nauli.v5i1.385

Abstract

Perkembangan media sosial telah memberikan berbagai kemudahan dalam memperoleh informasi, berkomunikasi, dan berinteraksi, namun juga memunculkan berbagai risiko seperti penyebaran hoaks, cyberbullying, penipuan digital, serta penyalahgunaan data pribadi. Remaja, khususnya siswa sekolah menengah atas, merupakan salah satu kelompok pengguna media sosial yang membutuhkan pemahaman mengenai literasi digital agar mampu memanfaatkan media sosial secara bijaksana dan bertanggung jawab. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan pengetahuan dan kesadaran siswa kelas XII SMA Negeri 1 Plered mengenai penggunaan media sosial yang aman, etis, dan produktif. Metode pelaksanaan menggunakan pendekatan partisipatif yang meliputi observasi kebutuhan, penyampaian materi, diskusi interaktif, studi kasus, sesi tanya jawab, serta evaluasi melalui pre-test dan post-test. Materi yang diberikan mencakup etika bermedia sosial, pengenalan hoaks dan disinformasi, pencegahan cyberbullying, keamanan data pribadi, serta pentingnya menjaga jejak digital (digital footprint). Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta terhadap seluruh materi yang disampaikan, yang ditunjukkan oleh meningkatnya nilai post-test dibandingkan pre-test. Selain itu, peserta menunjukkan antusiasme yang tinggi selama kegiatan berlangsung dan memberikan respons positif terhadap metode pembelajaran yang diterapkan. Kegiatan ini membuktikan bahwa edukasi literasi digital melalui pendekatan interaktif efektif dalam meningkatkan pengetahuan dan kesadaran siswa mengenai penggunaan media sosial secara bijaksana, kritis, aman, dan bertanggung jawab. Program serupa diharapkan dapat dilaksanakan secara berkelanjutan sebagai upaya memperkuat budaya literasi digital di lingkungan sekolah.
Design of a chatbot-based and web schedule management information system to optimize information distribution in the student cadet corps regiment of the Indonesian Defense University Amelia Kartika; Muhammad Rafi Arnof; Sayyid Hasan Harahap; Rizky Ramadhan Nasution; Henoch Kurniawan; Eryan Ahmad Firdaus
Jurnal Mandiri IT Vol. 14 No. 4 (2026): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i4.520

Abstract

The educational environment of the Student Cadet Corps Regiment at the Indonesian Defense University (Unhan RI) requires strict discipline and precise time management; however, the distribution of dynamic schedule information remains inefficient, delayed, and prone to human error due to conventional methods and restricted mobile device usage. This study aims to design and develop an integrated Schedule Management Information System that improves the efficiency, accuracy, and speed of information distribution. The research adopts a system development approach using the Waterfall method, integrating a Web-based Dashboard for schedule management and a Telegram Chatbot for real-time notification, supported by Role-Based Access Control (RBAC) to ensure data integrity and access security. The system was evaluated through Black Box Testing, usability testing using the System Usability Scale (SUS), and performance comparison between conventional and proposed methods involving 25 cadets and 4 staff. The results show that the proposed system significantly reduces schedule distribution time from 30–60 minutes to less than 5 seconds (>95% improvement), increases data accuracy to above 98%, and achieves a SUS score of 82, indicating high usability. These findings imply that the integration of web-based systems and chatbot technology can effectively enhance operational efficiency, support time discipline, and serve as a scalable model for information management in discipline-based institutions with strict operational constraints.