Implementasi Sistem Smarthome Berbasis Ai dan IoT untuk Deteksi Keborosan Listrik Menggunakan K-Means Clustering dan Kontrol Real-Time melalui Aplikasi Android

Abstract

In the modern era, energy management in households has become a significant challenge, especially in reducing electricity wastage. This study proposes a smart home system based on AI and IoT capable of detecting electricity wastage in real-time using the KMeans clustering algorithm. The system utilizes IoT sensors such as DHT, PIR, and ACS712 to measure environmental data, human presence, and current consumption. The received data is analyzed on the server using a machine learning model trained with historical datasets. The electricity wastage predictions are sent to an Android application, enabling users to monitor and control household devices such as lights and fans in real-time. This system aims to provide an effective solution to enhance household energy efficiency while delivering a smarter and more integrated control experience.