Sistem Smart Home untuk Deteksi Potensi Kebakaran Berbasis Internet of Things dengan Notifikasi WhatsApp

Fahmi Maulana; Widiyono Widiyono; Taryadi Taryadi

doi:10.30591/jpit.v10i1.8176

Sistem Smart Home untuk Deteksi Potensi Kebakaran Berbasis Internet of Things dengan Notifikasi WhatsApp

Fahmi Maulana, Widiyono Widiyono, Taryadi Taryadi

Abstract

The security and comfort of homes are fundamental needs that have become increasingly urgent with the advancement of technology. According to fire data released by the Pekalongan City Government in 2023, there were 101 reported cases of fires in Pekalongan, a threefold increase from 38 incidents in 2022. This study aims to design and implement a smart home system for detecting potential fires based on the Internet of Things (IoT) using NodeMCU ESP8266, ThingSpeak, and sensors including MQ2, flame sensors, and DHT11. The development method employs a prototyping model, supported by interviews with firefighters to identify relevant fire variables and ensure the system design meets user needs through hardware experimentation. Testing results indicate that the flame sensor can detect flames of 1.5 cm in length at a distance of up to 15 cm, with an average response time of 7.22 seconds to send notifications to WhatsApp. It can also detect flames of 3 cm in length at a distance of up to 50 cm, with an average response time of 8.79 seconds. The MQ2 sensor successfully detects gas concentrations above a value of 35, sending notifications to WhatsApp with an average response time of 8.89 seconds. Sensor data is visualized in real-time through ThingSpeak. Based on usability testing results, 68% of respondents expressed agreement, 24% were neutral, and 8% disagreed. The conclusion of this study is that the system can serve as an innovative alternative to create a safer and more efficient home environment. This research is expected to contribute to the development of smart home technology in Indonesia

Keywords

Detection of Fire; Internet of Things; NodeMCU ESP8266; Smart Home; ThingSpeak.

Full Text:

References

Amalia Rahman, Lalu Delsi Samsumar, and Muhammad Nasirudin Karim, “Sistem Deteksi Kebakaran Pada Rumah Dengan Notifikasi Whatsapp Berbasis IoT,” Journal Of Computer Science And Technology (JOCSTEC), vol. 2, no. 3, pp. 135–143, Sep. 2024, doi: 10.59435/jocstec.v2i3.412.

S. ’Reja, “Integrasi Fire Alarm dengan Smart Home: Solusi Keamanan Rumah Modern.”

M. ’Sayyid, “PENGEMBANGAN SISTEM DETEKSI KEBAKARAN MENGGUNAKAN SENSOR UNTUK SMART HOME SECURITY BERBASIS INTERNET OF THINGS DENGAN MEDIA KOMUNIKASI BOT,” Universitas Telkom.

R. ’Azmi, A. ’Sofyan, and S. ’Hadi, “Rancang Bangun Alat Pendeteksi Kebakaran Berbasis Telekomunikasi Telegram.”

F. Alwi and A. Chusyairi, “Sistem Deteksi Kebakaran Menggunakan Sensor Asap Dan Sensor Api Berbasis Nodemcu Esp8266 Pada PAUD Mandiri,” Universitas Bina Insani; Jl. Raya Siliwangi, vol. 7, no. 1, p. 82400924, 2022.

H. I. ’Sunardi, A. S. ’Kirsan, and I. ’Fitria, “Rancang Bangun Sistem Deteksi Dini Kebakaran di Rumah Menggunakan Smart Home Berbasis IoT.”

A. Hartono and A. Widjaja, “PROTOTYPE PENDETEKSI KEBAKARAN MENGGUNAKAN SENSOR FLAME, SENSOR DHT11 DAN MIKROKONTROLER NODEMCU ESP8266 BERBASIS WEBSITE,” 2022.

E. Sri Rahayu and dan Romi Achmad Mukthi Nurdin, “Perancangan Smart Home Untuk Pengendalian Peralatan Elektronik Dan Pemantauan Keamanan Rumah Berbasis Internet of Things.”

M. Artiyasa et al., “APLIKASI SMART HOME NODE MCU IOT UNTUK BLYNK,” 2020.

I. Nurpriyanti Program Studi Teknik Pemeliharaan Mesin dan Peralatan Industri and A. Komunitas Semen Indonesia Rembang Jl Pemuda Km, “OTOMATISASI SENSOR DHT11 SEBAGAI SENSOR SUHU DAN KELEMBAPAN) PADA HIDROPONIK BERBASIS ARDUINO UNO R3 UNTUK TANAMAN KANGKUNG AUTOMATION SENSOR DHTII AS TEMPERATURE AND HUMADITY SENSOR AT HIDROPONIK BY ARDUINO UNO R3 FOR SPINACH,” vol. 3, no. 1, pp. 40–45, 2020.

M. Awaluddin, A. Zarkasi, and E. Ratnasari Putri, “Rancang Bangun Prototipe Monitoring Suhu dan Kelembaban Udara Berbasis Internet of Things (IoT) Pada Laboratorium Kalibrasi Balai Pengujian dan Sertifikasi Mutu Barang Samarinda.” [Online]. Available: http://jurnal.fmipa.unmul.ac.id/index.php/ppj/indexHalaman|132

U. Anggoro Saputro and A. Tuslam, “Sistem Deteksi Kebakaran Berbasis Internet of Things Dengan Pesan Peringatan Menggunakan NodeMCU ESP8266 Dan Platform ThingSpeak,” vol. 7, no. 1.

F. T. Arumsari, J. Maulindar, and A. I. Pradana, “RANCANG BANGUN SISTEM PENDETEKSI KEBAKARAN BERBASIS

INTERNET OF THINGS,” INFOTECH journal, vol. 9, no. 1, pp. 175–182, May 2023, doi: 10.31949/infotech.v9i1.5317.

N. Ningsih, A. D. Ramadhani, A. Nurcahya, and N. Azizah, “Klasifikasi dan Monitoring Kualitas Udara Dalam Ruangan menggunakan ThingSpeak,” 2022. [Online]. Available: https://journal.trunojoyo.ac.id/triac

P. Oktaria Putra et al., “Implementasi Alat Monitoring Suhu Ruangan Berbasis Internet of Things (IoT) Menggunakan Metode MQTT dan HTML Pada Ruangan Server Universitas Indo Global Mandiri Palembang.”

K. Fauzi, W. Riyadi, D. Bangsa, and J. Jl Jendral Sudirman, “Jurnal Informatika Dan Rekayasa Komputer (JAKAKOM) Perancangan Control Dan Monitoring Smart Home Berbasis Internet of Things Menggunakan NodeMCU,” JAKAKOM, 2023. [Online]. Available: http://ejournal.unama.ac.id/index.php/jakakom

A. Junaidi, “INTERNET OF THINGS, SEJARAH, TEKNOLOGI DAN PENERAPANNYA : REVIEW,” 2015.

Muarif, Ade Sumaedi, and Mardiansyah, “Monitoring Suhu Ruangan Server Jaringan Hostpot Berbasis Mikrokontroler NodeMCU ESP8266 Dengan ThingSpeak,” Journal Information & Computer, vol. 2, no. Internet of Things, pp. 17–27, Jan. 2024.

Tim Komunikasi Publik, “Selama Tahun 2023 Damkar Kota Pekalongan Tangani 101 Kejadian Kebakaran,” Pemerintah Kota Pekalongan. Accessed: Dec. 28, 2024. [Online]. Available: https://pekalongankota.go.id/berita/selama-tahun-2023-damkar-kota- pekalongan-tangani-101-kejadian-kebakaran.html

DOI: https://doi.org/10.30591/jpit.v10i1.8176