Energy & Temperature Monitoring

Developed a comprehensive IoT-based monitoring system that integrates Mamdani fuzzy logic to analyze real-time electricity consumption and room temperature data in office environments. The system accurately identifies energy waste patterns, enabling organizations to make informed decisions about energy optimization. This project bridges the gap between embedded systems and data intelligence—the fuzzy logic engine processes complex sensor data to generate actionable insights, helping organizations reduce energy consumption amid rising electricity demands in Indonesia.

Key Contributions

• Designed and developed electronic schematics and embedded software code for sensor data acquisition and processing
• Created an intuitive Blynk application dashboard for real-time monitoring and system control
• Conducted comprehensive testing on both hardware and software components to ensure reliability and accuracy
• Implemented Google Sheets as a cloud-based database for persistent data storage and analytics