Safinta Nurindra Rahmadhia

Papers

1

Total Citations

5

H-Index

1

About

Safinta Nurindra Rahmadhia is a researcher focused on embedded control systems, robotics, and industrial automation. Her most-cited work, "Arduino Embedded Control System of DC Motor Using Proportional Integral Derivative" (2020), presents a practical and accessible approach to implementing PID control for DC motors—a foundational component in robotics, power systems, and manufacturing. By demonstrating how to integrate Arduino microcontrollers with PID algorithms, she provides a cost-effective, high-performance solution for real-time motor control, enabling students and engineers to prototype and optimize automated systems with ease. Her simulation results highlight the augmented system's robust performance, bridging theoretical control theory with hands-on embedded design. Though early in her career, her work has already garnered citations from peers exploring low-cost automation and educational robotics. Rahmadhia's contributions are particularly valuable for researchers and hobbyists seeking to democratize control engineering—making complex PID tuning accessible through open-source hardware. Her research underscores the growing importance of embedded intelligence in everyday mechatronic applications, from drone stabilization to industrial conveyor systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Arduino Embedded Control System of DC Motor Using Proportional Integral Derivative
5 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago