<![CDATA[Electrical energy waste in the residential sector is often caused by conventional electrical systems that rely on manual control without real-time monitoring, as identified in Purna Bakti Housing with weekly token costs reaching IDR 100,000. This research aims to design and implement a Smart Home-Based Housing Optimization System to save electrical energy through an Internet of Things (IoT) approach. The system is built using the ESP32-S3 microcontroller as the control center, the ZMPT101B sensor for monitoring power consumption, and relay modules as device control actuators. A control algorithm based on if-else logic and scheduling is implemented to automate device operation based on load and time. The research method uses Research and Development (R&D) with the ADDIE model, covering the stages of analysis, design, development, implementation, and evaluation. Test results show that the system can monitor energy consumption in real-time, send notifications via Telegram Bot, and control devices automatically. The system proves effective in identifying waste patterns and reducing energy consumption, thereby potentially lowering monthly electricity costs. Thus, the developed system can be a practical and affordable solution for improving energy efficiency in residential environments.]]>
Copyrights © 2026
