Integration of the Internet of Things in Smart Home Information Systems to Improve Security and Convenience

Milli Alfhi Syari; Raihan Fatih Dzaky; Rusmin Saragih

doi:10.59934/jaiea.v4i3.1010

Authors

Milli Alfhi Syari STMIK Kaputama
Raihan Fatih Dzaky STMIK Kaputama
Rusmin Saragih STMIK Kaputama

DOI:

https://doi.org/10.59934/jaiea.v4i3.1010

Keywords:

IoT, Smart Home, ESP32, Sensor, Machine Learning

Abstract

The integration of the Internet of Things (IoT) in smart homes improves security and convenience with device automation. The system receives input from motion sensors (PIR), CCTV cameras, and temperature sensors (DHT22), and then processes data using the Machine Learning-based anomaly detection method that runs on the ESP32 module as the main controller. The data is sent to the cloud for further analysis and can be accessed via a mobile or web app. The results obtained in this study are in the form of device automation, real-time notifications, and security alerts when suspicious activity occurs. Testing shows detection accuracy of 92% and system responsiveness of 95%, proving its effectiveness in improving security efficiency and household comfort through smarter monitoring and control.

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