Rancang Bangun Tempat Sampah Pintar dengan Sistem Monitoring Berbasis Cloud dan Internet of Things (IoT) Menggunakan Metode Rule-Based

Cleaning staff sometimes experience delays in emptying trash bins because inspections are conducted manually. This method is inefficient as it can lead to trash accumulation, causing odors and potential health hazards. Therefore, this study aims to improve the efficiency of waste management. The research method used in this study includes design and development, involving needs analysis, system design, system implementation, and system testing. In this study, a trash bin monitoring system was designed using the ESP32 microcontroller, the HC-SR04 sensor to detect bin capacity, and the MQ-135 sensor to detect ammonia gas content in the trash. The system can detect the bin's capacity, the last cleaning time, and the ammonia odor in the trash. The determination of trash collection actions is carried out using a rule-based method with 100% accuracy, and notifications are sent via Telegram.