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All Journal STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE International Journal of Robotics and Control Systems
Imron, Choirul
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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CYBER WARFARE THREATS AND ANALYZING READINESS OF THE INDONESIAN NAVY IN PRIORITIZING VARIABLES Rakam, Rakam; Imron, Choirul; Purnomo, Joko; Hartoko, Priyadi
STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Vol. 7 No. 01 (2023): Indonesia Naval Technology College STTAL Postgraduate International Conference
Publisher : Indonesian Naval Technology College STTAL

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Abstract

The advancement of information technology has greatly impacted various aspects of human life, including the Indonesian Navy. This progress has given rise to the concept of Cyber Warfare, which involves conducting warfare through information technology. Cyber warfare refers to actions taken by a country or international organization to attack and undermine another country's computer or information networks, typically through means like viruses or denial of service attacks.In light of these circumstances and challenges, the authors undertook an analysis to assess the readiness of the Indonesian Navy in dealing with the threat of cyber attacks, both domestically and internationally. This research employed cyber warfare threat modelling, which involved weighing and prioritizing key variables such as offensive cyber operations, cyber espionage operations, and cyber support. The objective of this study was to develop a Cyber Warfare threat model to support the responsibilities of the Indonesian Navy. Data processing for this research involved collecting relevant data from activities conducted at Satsiberal Headquarters, which was then analyzed using Fuzzy weighting. Additionally, the Dynamic System modelling method was employed to ascertain the interrelationships between variables and simulate the best alternative scenario. The results of the modellingg and simulation provided valuable insights for addressing the cyber warfare threat effectivelyKeywords: Cyber Warfare Threats, Indonesian Navy, Dynamic System.
Indoor Quadcopter Localization Using Fuzzy-Sliding Mode Control for Robust Navigation Darwito, Purwadi Agus; Agustina, Nilla Perdana; Pratama, Detak Yan; Al Farros, Mohammad Naufal; Setiadi, Iwan Cony; Biyanto, Totok Ruki; Imron, Choirul
International Journal of Robotics and Control Systems Vol 5, No 3 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i3.1941

Abstract

Growing demand for warehouse automation requires Unmanned Aerial Vehicles (UAVs), particularly quadcopters, to operate autonomously with a high level of precision and reliability. However, indoor localization poses unique challenges due to the absence of Global Positioning System (GPS) signals, making alternative sensors and robust control strategies essential. This study proposes an indoor UAV navigation system that integrates camera and LiDAR sensors with Fuzzy–Sliding Mode Control (Fuzzy-SMC) to enhance stability and reduce the chattering effects commonly associated with Sliding Mode Control. In the proposed method, the camera provides better accuracy for real-time position tracking compared to LiDAR, while fuzzy logic adaptively adjusts the Sliding Mode Control parameters, which serve as the main controller for stabilizing the quadcopter’s nonlinear dynamics. Research methodology includes mathematical modeling of the UAV quadcopter, the design of the Fuzzy-SMC controller, and simulation-based testing for trajectory tracking in indoor environments. Results show that the developed system achieves high accuracy, with error values ranging from 0 to 4.044%, remaining below the acceptable threshold of 5%. These findings demonstrate that integration of a camera with Fuzzy-SMC provides an effective and reliable solution for indoor quadcopter UAV navigation, while future research will focus on optimizing the fuzzy rule base and conducting hardware validation in real warehouse scenarios.
Co-Authors Agustina, Nilla Perdana Al Farros, Mohammad Naufal Detak Yan Pratama Hartoko, Priyadi Iwan Cony Setiadi, Iwan Cony Joko Purnomo Purwadi Agus Darwito Rakam, Rakam Totok Ruki Biyanto