Adian Fatchur Rochim

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About

Adian Fatchur Rochim is a robotics researcher whose work bridges agricultural technology and sports engineering. His primary research areas include autonomous robotic systems, sensor-based monitoring, and the application of machine learning algorithms to real-world problems. In his notable 2021 study on soybean field management, Rochim developed an autonomous robot that monitors and controls soil conditions using the K-Nearest Neighbor algorithm and Message Queuing Telemetry Transport protocol—a practical solution to declining soybean yields caused by inadequate soil moisture monitoring. This work, which has garnered 2 citations, addresses a critical gap in precision agriculture by replacing manual, inconsistent checks with automated, data-driven intervention. More recently, in 2023, Rochim explored sports robotics with a basketball arm shooting robot that implements parabolic motion, also earning 2 citations. This project demonstrates his ability to apply kinematic principles—specifically parabolic trajectories—to create human-like robotic movements, offering an engaging educational tool for visualizing physics in action. Rochim’s contributions exemplify how robotics can solve practical agricultural challenges while advancing biomechanical understanding in sports, making his work relevant to students and researchers interested in applied robotics, IoT, and interdisciplinary engineering.