Dedicated public health scholar and Associate Professor with extensive expertise in epidemiology, vector-borne disease, and environmental health. Holds a Doctoral degree (Cumlaude) from Universitas Indonesia and a proven track record of competitive research grants, international publications (including Scopus-indexed journals), and institutional leadership in academic and research settings in Batam, Indonesia.

From Plastic Waste to Smart Surveillance: An IoT-AI-Based Ovitrap System for Climate-Resilient Dengue Vector Control in a Coastal Urban CommunityAbstractClimate change is intensifying the transmission of dengue hemorrhagic fever (DBD) by extending the breeding season and geographic range of Aedes aegypti, particularlyin tropical, industrial-coastal, and border regions such as Batam, Indonesia a Free Trade Zone situated between Singapore and Malaysia. Conventional vector-control tools remain limited in both environmental sustainability and real-time monitoring capacity. This study presents the design, field validation, and continuation roadmap of a smart ovitrap system that repurposes plastic waste into a low-cost trap body integrated with an ESP32-CAM sensor module for automated mosquito egg detection and reporting. The device was field-tested across 50 households over an 8-week period in Kelurahan Tanjung Uma, Puskesmas Lubuk Baja, Batam, demonstrating a sensor detection accuracy of 81.3% (ICC = 0.95) and significantly higher oviposition indices compared to standard commercial ovitraps. A focus group discussion with expert stakeholders including public health laboratories, environmental agencies, and local health authorities further validated the system's field feasibility and informed a three-year continuation plan (2026–2029) toward IoT/AI-integrated, city-scale surveillance with community and international university partnerships. By combining circular-economy materials with AI-assisted environmental sensing, this research offers a climate-adaptive, low-carbon model for community-based vector surveillance that is scalable to other tropical urban settings facing similar climate and disease burdens. Findings and implications for integrating AI-driven environmental health tools into climate adaptation policy will be discussed.  Keywords: climate change, dengue vector, AI surveillance, circular economy, environmental sustainability