Implementasi Smart Building IoT Identifikasi Wajah, Sensor Pir, dan Sensor Gas Untuk Keamanan Showroom

Authors

  • Andika Alhaetami Institut Teknologi dan Bisnis Ahmad Dahlan, Jakarta
  • R Tommy Gumelar Institut Teknologi dan Bisnis Ahmad Dahlan, Jakarta
  • Shevti Arbekti Arman Institut Teknologi dan Bisnis Ahmad Dahlan, Jakarta

Keywords:

Smart Building, Internet of Things, ESP32 Cam, Sensor PIR, Sensor MQ2

Abstract

Security and energy efficiency are crucial aspects of a car showroom that can be improved using an IoT-based smart building system. This research develops a system integrating a PIR sensor for automatic lighting, an MQ2 sensor for gas detection, and an ESP32-CAM for facial recognition to enhance security. The ESP32 microcontroller controls the system, enabling real-time monitoring via the Telegram application. Testing results show that the PIR sensor optimizes energy use by activating lights only when motion is detected. The MQ2 sensor provides early warnings for hazardous gases, while the ESP32-CAM ensures restricted access by identifying authorized personnel. IoT integration allows stable data transmission and remote control. This system effectively enhances showroom security and energy efficiency, offering fast response times and reliable performance. The findings provide a foundation for further smart building innovations applicable to various industries.

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Published

2026-07-26

How to Cite

Alhaetami, A., R Tommy Gumelar, & Arman, S. A. (2026). Implementasi Smart Building IoT Identifikasi Wajah, Sensor Pir, dan Sensor Gas Untuk Keamanan Showroom. Jurnal Teknologi Informasi (JUTECH), 7(1), 54–63. Retrieved from https://ojs.itb-ad.ac.id/index.php/JUTECH/article/view/2987