IoT-based LPG leak detection system using Mamdani fuzzy logic method with Blynk application integration
DOI:
https://doi.org/10.33998/jakakom.2025.5.2.2385Keywords:
Technology, Gas leak detection, IoT, Mamdani fuzzy logic, Blynk applicationAbstract
Cooking activities are part of the daily routine, especially for housewives. However, incidents of kitchen fires frequently occur due to forgotten actions such as falling to turn off the stove or undetected leaks in Liquified Petroleum Gas (LPG) systems. This project aims to provide an early warning system to prevent LPG gas leaks in residental areas, particularly where public awareness and timely detection are still lacking. The proposed device integrates Internet of Things (IoT) technology to enable real-time monitoring. The methodology employed in this study utilizes a mamdany fuzzy logic algorithm, in which the degree of truth is determined based on weighted values. This research is expected to contribute in public knowledge and serve as a preventive measure of households in anticipating gas leak-induced fires. Additionally, the system aims to support firefighters and family members by providing an efficient early warning mechanism.
References
A. T. Juliantoro, A. P. Nevita, dan H. A. Munawi, “Rancang Bangun Alat Pendeteksi Kebocoran Gas Lpg Dengan Sensor MQ – 6 Untuk Mengatasi Bahaya Kebakaran,” Nusant. Eng., vol. 5, no. 1, hal. 41–49, 2022, doi: 10.29407/noe.v5i1.17389.
B. D. Danur, D. Satria, M. Kom, R. Aisuwarya, dan M. Eng, “Sistem Pendeteksian Kebocoran Gas LPG Menggunakan Mikrokontroler Jurusan Sistem Komputer Fakultas Teknologi Informasi Universitas Andalas, Padang [1][3] Jurusan Teknik Komputer, Politeknik Negeri Padang [2],” 2011.
R. Sirai, K. Erwansyah, H. Jaya, dan H. Winata, “Rancang Bangun Alat Pendeteksi Kebocoran Regulator Gas Lpg Via Sms Menggunakan Modul Gsm Dan Sensor Mq-6 Berbasis Arduino Uno,” J-SISKO TECH (Jurnal Teknol. Sist. Inf. dan Sist. Komput. TGD), vol. 3, no. 2, hal. 73, 2020, doi: 10.53513/jsk.v3i2.2036.
M. Muhtar, L. Ariyanto, dan A. Wibisono, “Alat Pendeteksi Kebocoran Gas Lpg(Liquified Petroleum Gas) Berbasis Arduino Uno,” JIPETIKJurnal Ilm. Penelit. Teknol. Inf. Komput., vol. 2, no. 1, hal. 50–57, 2021, doi: 10.26877/jipetik.v2i1.8660.
M. A. Rahman, H. Ahmed, dan M. M. Hossain, “An Integrated Hardware Prototype for Monitoring Gas Leaks, Fires, and Remote Control via Mobile Application,” Int. J. Adv. Comput. Sci. Appl., vol. 13, no. 10, hal. 833–840, 2022, doi: 10.14569/IJACSA.2022.0131099.
V. Valencia, L. Putra Purnama, C. Tjong, dan J. Liman, “Rancang Bangun Alat Pendeteksi Kebocoran Gas LPG Berbasis Internet of Things Dengan Katup Regulator Otomatis,” Techné J. Ilm. Elektrotek., vol. 21, no. 2, hal. 225–242, 2022, doi: 10.31358/techne.v21i2.322.
S. B. Mursalin, H. Sunardi, dan Z. Zulkifli, “Sistem Penyiraman Tanaman Otomatis Berbasis Sensor Kelembaban Tanah Menggunakan Logika Fuzzy,” J. Ilm. Inform. Glob., vol. 11, no. 1, hal. 47–54, 2020, doi: 10.36982/jiig.v11i1.1072.
B. Sugandi dan J. Armenteria, “Sistem Penyiraman Tanaman Otomatis Menggunakan Metode Logika Fuzzy,” J. Appl. Electr. Eng., no. 5(1), hal. 5–8, 2021, [Daring]. Tersedia pada: https://jurnal.polibatam.ac.id/index.php/JAEE/article/view/2991
Amir, Fazri, Novianda, Maulan, dan Rahmat, “Sistem Pendeteksi Kebocoran Liquefied Petroleum Gas Menggunakan Metode Fuzzy Logic Mamdani Berbasis Internet of Things,” J. Teknol., vol. 12, no. 2, hal. 151–158, 2020.
M. F. F. N. Muhammad Erpandi Dalimunthe, “Air Quality Control System With Gas Leak Detection In Rooms With Fuzzy,” INFOKUM, vol. 13, no. 02, hal. 420–431, 2025, doi: 10.58471/infokum.v13i02.
