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All Journal Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Journal of Embedded Systems, Security and Intelligent Systems
Muhammad Romario Basirung
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Computer Science & IT Other

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ROCKET LOAD TEST BASED ON INERTIAL MEASUREMENT UNIT SENSOR IN SUPPORTING NATIONAL AIR DEFENSE Mudarris Mudarris; Muhammad Romario Basirung; Iris Sumariyanto
Jurnal Pertahanan: Media Informasi ttg Kajian & Strategi Pertahanan yang Mengedepankan Identity, Nasionalism & Integrity Vol 8, No 1 (2022)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v8i1.1496

Abstract

The development of rocketry and rocket payload technology is very rapid in the industrial era 4.0. Rockets are usually used as dynamic sensors or carriers for specific missions for sensing and retrieving data from space for meteorological, military, etc. This article aims to design, realize and test a Rocket Payload Monitoring System Based on an Inertial Measurement Unit (IMU) Sensor to monitor the condition of the payload movement behavior. Rocket Payload is a substance carried in a Payload Test Rocket (RUM) in the form of a cylindrical payload. This research focuses on designing a Graphical User Interface (GUI) application to display data in real-time. The type of research used is Research and Development (R&D) with a prototyping development model. The results obtained in the form of Rocket Payload Design and GUI design can be concluded that the GUI application can visualize all sensor and camera data in real-time.
Development of AI and IoT Based Microcontroller Simulator to Improve 4C Skills in learning Wahyudi; Ahmad Risal; Muhammad Romario Basirung
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 1 (2025): March 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i1.7481

Abstract

The development of digital technology demands mastery of 21st century skills, particularly the 4Cs (Critical Thinking, Creativity, Collaboration, Communication). However, conventional microcontroller learning is often limited to technical aspects without training these skills. This research aims to develop a microcontroller simulator based on AI (Artificial Intelligence) and IoT (Internet of Things) as an interactive media to improve 4C skills in digital technology learning. The research method uses a Research and Development (R&D) approach with the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). The simulator is designed with machine learning integration for learning difficulty adaptation and IoT for cloud-based project simulation. Validation was conducted through expert tests (pedagogy, AI, and embedded systems experts) and field trials on engineering students with questionnaire instruments, observations, and 4C skills tests. The results of the developed Simulator are proven to improve the understanding of microcontroller concepts while training 4C skills, with the following results: 1) Critical Thinking: Participants were able to analyse problems 25% faster through AI-based case simulation. 2) Creativity: There was a 30% increase in the variety of IoT project solutions generated. and 3) Collaboration & Communication: Teamwork effectiveness improved based on the collaboration rubric assessment. The implications of this research can be applied in technical education curriculum, vocational training, or STEM/STEAM development.
Co-Authors Ahmad Risal Mudarris Mudarris Sumariyanto, Iris WAHYUDI