The imperative to align engineering education with the demands of Industry 4.0 necessitates a pedagogical shift from theoretical instruction to applied, hands-on learning. This study addresses the gap between academic curricula and industrial requirements by detailing the development of an integrated robotic system designed to enhance practical competencies in a smart manufacturing context. The research focuses on the design, implementation, and evaluation of automated production and quality inspection modules within the Industrial Engineering program at Pelita Harapan University. A multi-stage development method was employed, integrating a Dobot Magician robotic arm, color and ultrasonic sensors, and a programmable conveyor system into a cohesive educational platform. This approach facilitated the creation of two distinct learning modules for second and sixth-semester students, covering 3D printing, product inspection, robotic handling, and economic analysis. Iterative testing and refinement of the system resulted in a 97.3% success rate in autonomous inspection tasks, demonstrating its operational viability and effectiveness. The successful integration of this system provides a proven model for educational reform, effectively bridging theoretical knowledge with practical application and equipping students with the essential robotics, automation, and data-driven decision-making skills required for the evolving industrial landscape. © 2025 IEEE.
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