Lilis Pitriyanti

Papers

Total Citations

H-Index

About

Lilis Pitriyanti is an emerging researcher in the field of Internet of Things (IoT) and smart detection systems, with a particular focus on public health applications. Her work centers on developing innovative technological solutions for real-world challenges, especially those arising from the COVID-19 pandemic. Her most cited paper, "IMPLEMENTASI MODUL INFRARED PADA RANCANG BANGUN SMART DETECTION FOR QUEUE OTOMATIC BERBASIS IOT" (2022), demonstrates her key contribution: designing an infrared-based smart queue detection system that enforces physical distancing. This IoT-enabled solution addresses the critical need for automated crowd management to curb virus transmission, as mandated by WHO guidelines. With 3 citations, this work represents a practical, low-cost approach to pandemic response technology. Pitriyanti's research bridges hardware implementation and software integration, showcasing how sensor modules can be deployed for public safety. Her work is particularly notable for its timeliness and societal relevance, offering a blueprint for smart infrastructure that can adapt to health crises. As a researcher, she exemplifies the application of IoT principles to pressing global health issues, laying groundwork for future innovations in automated monitoring and epidemic control systems.