Pengembangan Sistem Keamanan Rumah Berbasis IoT dengan Deteksi Intrusi Real-Time Menggunakan Sensor PIR dan Kamera, serta Notifikasi Otomatis melalui Aplikasi Mobile

Home security plays an essential role in contemporary life. As technology progresses, conventional security approaches are transitioning toward smarter, IoT-powered systems. This research introduces a real-time intrusion detection prototype combining a PIR sensor with an ESP32-CAM, integrated with Telegram for instant alerts. Once movement is detected, the system captures an image and sends both visual and text-based notifications to users, allowing for swift remote response. The system utilizes an ESP32 microcontroller linked to a PIR sensor and camera over Wi-Fi. Tests were performed to assess detection precision, response time, and system stability. The prototype achieved a 93% accuracy rate in detecting motion and delivered alerts with under a 5-second average delay. Image transmission through Telegram was successful, ensuring users receive visual proof in real-time. This solution is economical, intuitive to use, and suitable for household implementation. It offers a viable substitute to traditional CCTV by enabling proactive surveillance and remote interaction. Future enhancements could include cloud backup, facial recognition features, and smart home integrations.