DESAIN ALARM KEBAKARAN PINTAR BERBASIS INTERNET OF THINGS MENGGUNAKAN ESP32-CAM DAN SENSOR API

- Muhammad Zidan Faturrachman, Iwan Kustiawan¹

1. ¹ Universitas Pendidikan Indonesia

Repository at Universitas Pendidikan Indonesia (Universitas Pendidikan Indonesia), 2026

ABSTRAK Penelitian ini membahas perancangan sistem alarm kebakaran pintar berbasis Internet of Things (IoT) menggunakan sensor api, sensor suhu, dan modul ESP32-CAM. Sistem ini dirancang untuk mendeteksi api, memantau kondisi lingkungan melalui kamera, dan mengirimkan notifikasi secara real-time kepada pengguna. Pengujian dilakukan pada tiga kondisi jaringan WiFi dengan nilai Received Signal Strength Indicator (RSSI) –48 dBm, –68 dBm, dan –73 dBm. Hasil pengujian pada sinyal kuat (RSSI –48 dBm) menunjukkan latency 1,8 detik dengan success rate 100%, sedangkan pada sinyal lemah (RSSI –73 dBm), latency meningkat menjadi 6,5 detik dengan success rate 90%. Temuan ini menunjukkan bahwa kualitas sinyal WiFi berpengaruh signifikan terhadap kecepatan dan kestabilan komunikasi sistem. Kata Kunci: Internet of Things, alarm kebakaran, ESP32, ESP32-CAM, latency, RSSI. ABSTRACT This study discusses the design of a smart fire alarm system based on the Internet of Things (IoT) using fire sensors, temperature sensors, and ESP32-CAM modules. This system is designed to detect fires, monitor environmental conditions through cameras, and send real-time notifications to users. Testing was conducted under three WiFi network conditions with Received Signal Strength Indicator (RSSI) values of –48 dBm, –68 dBm, and –73 dBm. Test results for strong signals (RSSI –48 dBm) showed a latency of 1.8 seconds with a success rate of 100%, while for weak signals (RSSI –73 dBm), the latency increased to 6.5 seconds with a success rate of 90%. These findings indicate that WiFi signal quality has a significant effect on the speed and stability of system communication. Keywords: Internet of Things, fire alarm, ESP32, ESP32-CAM, latency, RSSI.