Papers

2

Total Citations

3

H-Index

1

About

Nur Hasanah’s research bridges robotics education and industrial automation, with a focus on making complex technical concepts accessible and practical. Her most cited work, “Learning Tool for Robotics Basic Programming Based on Contextual Teaching and Learning to Improve Problem-Solving Skills” (2020, 2 citations), introduces an innovative pedagogical approach that uses real-world contexts to help students master robotics programming. By addressing common pitfalls—such as algorithm design errors and translation mistakes in flowcharts—this tool directly enhances problem-solving abilities in foundational robotics courses. Complementing this educational focus, her paper “Kinematics Simulation of Welding Manipulator Based on V-REPPRO EDU” (2019, 1 citation) demonstrates technical depth in industrial robotics. Here, she applies Denavit-Hartenberg parameters to model a 6-DOF welding manipulator, using algebraic methods for inverse kinematics and V-REPPRO EDU for simulation. This work supports the growing need for efficient, all-position welding in modern manufacturing. Though early in her career, Hasanah’s dual emphasis on teaching tools and applied kinematics signals a commitment to both developing future engineers and advancing robotic precision in industry. Her contributions offer valuable resources for students and researchers exploring robotics education and simulation.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Learning Tool for Robotics Basic Programming Based on Contextual Teaching and Learning to Improve Problem-Solving Skills
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Swinburne University of Technology, Yogyakarta State University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago