Claim Missing Document
Check
Articles

Found 3 Documents
Search

Robotics training to improve STEM skills of Islamic boarding school students in Batam Jamzuri, Eko Rudiawan; Soebhakti, Hendawan; Prayoga , Senanjung; Fatekha, Rifqi Amalya; Wibisana, Anugerah; Nakul, Fitriyanti; Hasnira, H.; Analia, Riska; Susanto, S.; Wijaya, Ryan Satria; Suciningtyas, Ika Karlina Laila Nur; Puspita, Widya Rika; Lubis, Eka Mutia; Jefiza, Adlian; Budiana, B.; Firdaus, Ahmad Riyad
Journal of Community Service and Empowerment Vol. 5 No. 1 (2024): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jcse.v5i1.26895

Abstract

One potential approach to addressing the challenges posed by the advent of Industry 4.0 and Society 5.0 is to offer robotics training. This endeavor aims to enhance students' foundational understanding of STEM (Science, Technology, Engineering, and Mathematics) disciplines. The study involved collaborating with the Pondok Pesantren Granada, an Islamic Boarding School located in Batam, to provide robotics training as community service activities. The study included 29 trainees: 15 from class XI and 7 from classes X and XII. The teaching was conducted using a combination of didactic instruction, interactive discourse, and hands-on exercises. Trainees are administered a written examination to assess their proficiency level before and after the training program. The training outcomes exhibited a significant improvement in the mean STEM proficiency of trainees, with an increase of 38.15%. Furthermore, a series of activities have been effectively implemented, resulting in trainee satisfaction ratings exceeding 50% concerning course materials, trainer, and teaching equipment. A mere 17% of the individuals undergoing training expressed dissatisfaction with the allocated time, particularly the hands-on component's duration.
Dynamic Modeling and PID Control of a 6-DOF Robotic Arm Using ROS and Gazebo Firdaus, Ahmad Riyad; Cyrillus Rudi Soru; Hendawan Soebhakti
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11027

Abstract

This paper presents the dynamic modeling and control evaluation of a six degrees-of-freedom (6-DOF) robotic manipulator. The manipulator was developed in the Robot Operating System (ROS) and Gazebo using a detailed URDF model with complete geometric and inertia parameters. Proportional–Integral–Derivative (PID) controllers were tuned through ROS dynamic reconfiguration and tested under four payloads: 0; 0,19; 0,39; and 0,50 kg. Controller performance was assessed using rise time, settling time, overshoot, and steady-state error. The results show stable responses across all conditions, with no overshoot and near-zero steady-state errors. Increasing payloads generally led to longer rise and settling times, while joints aligned with gravity exhibited faster responses under heavier loads. These findings confirm that properly tuned PID controllers can maintain robust and accurate manipulator performance and demonstrate the effectiveness of ROS–Gazebo as an open-source platform for robotic control experimentation and future integration of adaptive or AI-based methods.
Autonomous mobile robot implementation for final assembly material delivery system Firdaus, Ahmad Riyad; Sholihuddin, Imam; Hutasoit, Fania Putri; Naba, Agus; Suciningtyas, Ika Karlina Laila Nur
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i1.pp158-173

Abstract

This study presents the development and implementation of an autonomous mobile robot (AMR) system for material delivery in a final assembly environment. The AMR replaces conventional transport methods by autonomously moving trolleys between the warehouse, production stations, and recycling areas, thereby reducing human intervention in repetitive logistics tasks. The proposed system integrates a laser-SLAM navigation approach, customized trolley design, RoboShop programming, and robot dispatch system coordination, enabling real-time route planning, obstacle detection, and material scheduling. Experimental validation demonstrated high accuracy in path following, with root mean square error values ranging between 0.001 to 0.020 meters. The AMR achieved an average travel distance of 118.81 meters and a cycle time of 566.90 seconds across three final assembly stations. The overall efficiency reached 57%, primarily due to reduced idle time and optimized material replenishment. These results confirm the feasibility of AMR deployment as a scalable and flexible intralogistics solution, supporting the transition toward Industry 4.0 smart manufacturing systems.