Annisa Sarah

University of Basrah, Atma Jaya Catholic University of Indonesia

Papers

Total Citations

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About

Annisa Sarah is a researcher at the intersection of embedded systems, computer vision, and robotics education. Her work focuses on making complex technologies accessible through practical, hands-on applications. Her most cited paper, "Python-based Raspberry Pi for Hand Gesture Recognition" (2017, 23 citations), demonstrates this approach by developing a real-time vision system using a Raspberry Pi, Python, and OpenCV. This work provides a low-cost, accessible platform for gesture-based human-computer interaction. Sarah also contributes to robotics pedagogy, as seen in her paper "Line follower robot module design for increasing student comprehension in robotics" (2020). This study designs effective learning media to socialize robotics technology among adolescents, bridging the gap between theoretical concepts and practical implementation. By creating tangible, educational tools, Sarah empowers a new generation of engineers and makers, making her a valuable contributor to both technical advancement and STEM education.