Rikendry Rikendry

Papers

Total Citations

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About

Rikendry Rikendry is an emerging researcher in the field of intelligent systems and robotics, with a particular focus on applied artificial intelligence for autonomous and safety-critical applications. His most recognized work centers on the implementation of fuzzy logic methodologies in mobile robot braking systems, demonstrating a keen interest in bridging theoretical AI techniques with real-world engineering challenges. His most cited publication, "Implementasi Metode Fuzzy Logic untuk Sistem Pengereman Robot Mobile Berdasarkan Jarak dan Kecepatan" (2022), addresses the pressing issue of suboptimal braking performance in motorized vehicles — a leading contributor to Indonesia's rising traffic accident rates. By leveraging fuzzy logic to dynamically regulate braking based on distance and speed variables, Rikendry proposed an intelligent solution with tangible safety implications, earning 6 citations since its publication. Though early in his academic career, Rikendry's work reflects a meaningful commitment to applying computational intelligence to solve practical transportation and robotics problems within the Indonesian context. His research holds promise for students and engineers interested in autonomous systems, vehicular safety technology, and the localized application of soft computing methods to address regional infrastructure challenges.