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All Journal International Journal of Electrical and Computer Engineering ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Applied Electrical Engineering Journal of Community Service and Empowerment
Ryan Satria Wijaya
Department Of Electrical Engineering, Politeknik Negeri Batam, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Social Sciences Other

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Journal : journal of applied informatics and computing

 1 
A Design and Implementation of a 3-Axis UAV Drone Gimbal Rig for Testing Stability and Performance Parameters in the Laboratory Wijaya, Ryan Satria; Zulpriadi, Zulpriadi; Prayoga, Senanjung; Fatekha, Rifqi Amalya
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9577

Abstract

This study designs a 3-axis UAV gimbal rig for testing stability and performance before deployment in real-world flight conditions. The gimbal rig simulates the vertical, lateral, and longitudinal axes to ensure reliable operation in various scenarios. Made from lightweight aluminum alloy, the structure minimizes vibrations and maintains rigidity during testing. For precise motion tracking, each axis is equipped with an LPD3806- 600BM-G5 rotary encoder, offering accurate feedback on movement. The Arduino Nano processes the encoder data, displaying real-time results on a 16x2 LCD with an I2C interface for easy monitoring. Additionally, a push-button system enables users to switch between different readings for each axis. This setup aids researchers in analyzing UAV dynamics and refining both firmware and hardware. Future enhancements may include wireless data logging and integration of machine learning techniques to predict maintenance needs, further supporting UAV stability testing in various applications, including aerospace, defense, and commercial use.
A Real-Time Hand Gesture Control of a Quadcopter Swarm Implemented in the Gazebo Simulation Environment Wijaya, Ryan Satria; Prayoga, Senanjung; Fatekha, Rifqi Amalya; Mubarak, Muhammad Thoriq
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9578

Abstract

With the advancement of technology, human-robot interaction (HRI) is becoming more intuitive, including through hand gesture-based control. This study aims to develop a real-time hand gesture recognition system to control a quadcopter swarm within a simulated environment using ROS and Gazebo. The system utilizes Google's MediaPipe framework for detecting 21 hand landmarks, which are then processed through a custom-trained neural network to classify 13 predefined gestures. Each gesture corresponds to a specific command such as basic motion, rotation, or swarm formation, and is published to the /cmd_vel topic using the ROS communication framework. Simulation tests were performed in Gazebo and covered both individual drone maneuvers and simple swarm formations. The results demonstrated a gesture classification accuracy of 90%, low latency, and stable response across multiple drones. This approach offers a scalable and efficient solution for real-time swarm control based on hand gestures, contributing to future applications in human-drone interaction systems.
Sensor Fusion – Based Localization for ASV with Linear Regression Optimization Wijaya, Ryan Satria; Jamzuri, Eko Rudiawan; Wibisana, Anugerah; Sinaga, Jepelin Amstrong; Julanba, Vafin
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10048

Abstract

ASV (Autonomous Surface Vehicle) is one of popular innovations in the maritime field that is widely used for various missions on the water surface. The ASV itself has the ability to operate automatically without human intervention. Therefore, ASV requires an accurate and reliable localization system. This research focuses on developing an ASV localization system using waterflow sensors optimized through linear regression and integrated with orientation data from an IMU sensor through sensor fusion to obtain global coordinate position estimation. The experiments conducted showed a significant improvement in accuracy after optimization, with the Root Mean Square Error (RMSE) of the waterflow sensor data decreasing from 161.65 meters to 0.28 meters. Moreover, the yaw data reading by IMU achieved accuracy with RMSE 1.54 degrees. The localization system in the final test achieved RMSE values of 0.07 meters for the X-axis, 0.14 meters for the Y-axis, and 1.9 degrees for yaw during the ASV global positioning experiment. In addition, a GUI (Graphical User Interface) was developed for visualization with average communication latency of 113.6 milliseconds. This localization system is a promising solution in stable water condition.
Real-Time Chinese Chess Piece Character Recognition using Edge AI Wijaya, Ryan Satria; Anadia, Atika Yunisa; Fatekha, Rifqi Amalya; Prayoga, Senanjung
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10056

Abstract

This research focuses on developing a character analysis system on Chinese chess pieces (xiangqi) using computer vision technology with the deep learning framework PyTorch. The system is designed to detect and interpret text written on chess pieces in real time, making it easier for players to identify the function of each piece. The implementation is done using a web camera and can be applied to embedded devices such as Jetson Nano. This research aims to develop an automatic recognition system that can help players better understand the game of xiangqi by identifying characters on pieces in real time. The test results show that the system successfully recognized 14 pieces correctly. The system developed using Jetson Nano can directly process image data with a processing time of 0.0222 seconds. This data is obtained from the average of each FPS image from the web camera.
Implementation of Real-Time Swarm Drone Formation Using Firebase and MIT App Inventor with Interpolation-Based Control in Gazebo Wijaya, Ryan Satria; Soebhakti, Hendawan; Fatekha, Rifqi Amalya; Anggraini, Sarah
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11767

Abstract

This paper presents the implementation of a real-time swarm drone formation control system that leverages Firebase as the communication bridge and MIT App Inventor as the user interface. The simulation is conducted in the Gazebo environment with five quadcopter drones. Formation commands are sent from an Android application to Firebase, then processed by a Python-based ROS node to adjust drone positions. Four primary formations - line, triangle, circle, and star - are implemented, along with a dynamic mode enabling sequential transitions among multiple patterns. The integration of linear interpolation ensures smooth transitions, consistent timing, and stable hovering. Experimental results show an average response delay of 0.4–0.6 seconds and stable altitude at 3.5 meters. This approach demonstrates an intuitive and scalable swarm control method. Future enhancements may include telemetry feedback, Firebase authentication, and PID tuning to optimize control accuracy.
Co-Authors Adlian Jefiza Ahmad Riyad Firdaus AL BANNA, M. RIZQI HASAN Anadia, Atika Yunisa Anggraini, Sarah ANUGERAH WIBISANA APRIANDY, KEVIN ILHAM B. Budiana Dadet Pramadihanto Dewanto, Raden Sanggar Dzaky Andrawan Eka Mutia Lubis Eko Rudiawan Jamzuri Fahreji, Rival Fitriyanti Nakul Hasnira Hasnira Hendawan Soebhakti Ika Karlina Laila Nur Suciningtyas Julanba, Vafin Kaputra, Aldi MOCHAMAD ARI BAGUS NUGROHO Mubarak, Muhammad Thoriq Naufal Abdurrahman Prasetyo Naurah Nazhifah Pratama, Adhitya Rifqi Amalya Fatekha Riska Analia S. Susanto Santonius, Santonius Senanjung Prayoga Sinaga, Jepelin Amstrong Widya Rika Puspita Zulpriadi, Zulpriadi