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All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) BUSTANUL FUQAHA: Jurnal Bidang Hukum Islam Vokatek : Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Micronic: Journal of Multidisciplinary Electrical and Electronics Engineering Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Jurnal Sipakatau
Ahmad Risal
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Journal : Journal of Embedded Systems, Security and Intelligent Systems

 1 
Implementation of ESP32-Based Web Host For Control and Monitoring of Robotic Arm Sutarsi Suhaeb; Ahmad Risal
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 3 (2024): November 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i3.5184

Abstract

In the modern technological era, the Internet of Things (IoT) plays a significant role in developing robotic control systems, including robotic arms. This study explores the implementation of an ESP32-based webhost to control and monitor robotic arm operations in real time via a web interface connected to a Wi-Fi network. The system is designed to provide ease of access, reliable performance, and low latency, making it suitable for education, technical training, and other applications. Testing revealed that the system delivers fast response times, high stability under moderate loads, and an intuitive interface for users with varying skill levels. These findings present opportunities for further development, including integration with cloud-based technologies and data security enhancements
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.
High-Precision Object Detection Using 8 Proximity Sensors: Integration of Switching Algorithm and Visual Display Suhaeb, Sutarsi; Ahmad Risal; Andi Rakhmat Baharuddin
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8133

Abstract

This study developed an object detection system based on 8 proximity sensors implemented in a line follower robot using a switching algorithm. The system is controlled by an Arduino Nano microcontroller and displays detection results on a 16x2 LCD. The switching method is employed to read the sensors alternately, thereby reducing channel interference and lowering power consumption without compromising reading speed. Each sensor is calibrated with a predefined threshold to convert analog readings into digital signals, which are then visualized as icons or underscore symbols on the display. This research follows an experimental approach involving hardware design, microcontroller programming, and direct testing on a robotic track. The system was tested in five different track position scenarios. The results show that the system consistently and responsively detects objects. The switching method proved effective in improving reading efficiency and enhancing the robot’s navigation stability for accurate line following..
Adaptive Pulse-Width Modulation Algorithm for Energy-Efficient Control of Robotic Arm Actuators Sutarsi Suhaeb; Ahmad Risal
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 3 (2025): September 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i3.10318

Abstract

The development of energy-efficient robotic systems has become increasingly important, particularly in servo-driven robotic arms where continuous PWM signals lead to unnecessary energy loss and thermal stress. This study proposes an adaptive pulse-width modulation (PWM) algorithm designed to activate servo signals only during motion phases and automatically deactivate them once the target position is reached. A four-degree-of-freedom robotic arm prototype was developed using an ESP32 microcontroller, MG90S servos, and ACS712-based current monitoring to evaluate power efficiency under conventional continuous PWM and the proposed adaptive control. Experimental results demonstrate a 28–33% reduction in average power consumption, a decrease of 6–8 °C in servo operating temperature, and the preservation of positional accuracy within ±5%. These findings confirm that significant energy savings and thermal improvements can be achieved without modifying hardware components. The proposed algorithm offers a practical, lightweight, and software-based optimization approach suitable for educational, research, and low-power robotic applications. This work introduces a distinct adaptive activation strategy that fully disables PWM in steady-state conditions, representing a low-cost and effective contribution to sustainable servo control.
Co-Authors ANDI AGUNG DWI ARYA BULU Andi Rakhmat Baharuddin Andi Syamsul Bahri Albar Anita Candra Dewi Askar Patahuddin Aulia Sabril Bahar, Muhammad Mahdinul Bakhrani A. Rauf Bakti, Rizki Yusliana Darlan Sidik Della Fadhilatunisa Fadhlirrahman Baso Faisal Najamuddin Hafid Ridho Attamimi Hendra Jaya Labusab LUKMAN ANAS Lumu Taris Muhammad Akil, Muhammad Muhammad Romario Basirung Muhammad Yusram Ninik Rahayu Ashadi Nurfauziah Ridwang Ridwansyah Saharuddin suhaeb, Sutarsi Sulistiawaty Sutarsi Suhaeb Syapril Titin Wahyuni WAHYUDI