Plume Detection System Based Internet of Things

Keywords: Plume detection, gas leak, internet of things, LPG gas, Alcohol evaporated gas


Security is one of the important aspects in a system or environment. Residential, office, tourist and industrial areas are places that are prone to fires because they contain flammable objects. Slow handling when a gas leak occurs can trigger a fire. The solution that can be used to minimize the occurrence of fires is to build tools that work to monitor the condition of the room or environment that is prone to leakage of gas or other flammable liquids. The design and manufacture of a system to detect LPG and alcohol gas leaks can be useful for providing information in the event of a gas or alcohol leak so that it can be handled quickly and minimize fire damage. This system combines an plume detection system with an internet of things system so that it can provide information when a gas or flammable liquid leak occurs. The gas leak information is sent as a notification to the telegram from the operator. The design and manufacture of this system uses the Waterfall methodology with the following stages: analyzing (covering the need for system creation), system design (including designing electronic circuits and web monitoring interfaces), implementing system design and testing the system as a whole. The result of this research is that an electronic detection system has been successfully built that can distinguish gases and can provide information via telegram and web if gas is detected in the sensor environment. In the LPG gas leak test, the results show that the characteristics of LPG gas, namely the sensor output voltage, have an average of 4.17 volts with an average Part Per Million (PPM) of 8340 and the characteristics of alcohol gas, namely the sensor output voltage, have an average of 0, 13 volts with an average Part Per Million (PPM) of 254.


[1] D. D. Hutagalung, “Rancang Bangun Alat Pendeteksi Kebocoran Gas dan Api dengan Menggunakan Sensor MQ-2 dan Flame Detector,” Jurnal Rekayasa Informasi, vol. 7, no. 2, p. 127, 2018.
[2] S. Hadi and A. Adil, “Rancang Bangun Pendeteksi Gas Berbasis Sensor MQ-2,” Seminar Nasional Sistem Informasi dan Teknik Informatika (SENSITIF 2019), pp. 327–334, 2020.
[3] Mudjahidin and N. D. P. Putra, “Rancang Bangun Sistem Informasi Monitoring Perkembangan Proyek Berbasis Web,” Jurnal Teknik Industri, vol. 11, no. 1, p. 75, 2012, doi: 10.22219/jtiumm.vol11.no1.75-83.
[4] M. Rivai, D. Purwanto, H. Juwono, and H. A. Sujono, “Electronic nose using gas chromatography column and quartz crystal microbalance,” Telkomnika, vol. 9, no. 2, pp. 319–326, 2011, doi: 10.12928/telkomnika.v9i2.703.
[5] H. Widyantara, M. Rivai, and D. Purwanto, “Implementation Analog Neural Network for Electronic Nose using Field Programable Analog Arrays (FPAA),” International Journal of Electrical and Computer Engineering (IJECE), vol. 2, no. 6, 2012, doi: 10.11591/ijece.v2i6.1501.
[6] S. T. P. Radi, S. Ciptohadijoyo, W. S. Litananda, M. Rivai, and M. H. Purnomo, “Electronic nose based on partition column integrated with gas sensor for fruit identification and classification,” Computers and Electronics in Agriculture, vol. 121, pp. 429–435, 2016, doi: 10.1016/j.compag.2015.11.013.
[7] Rimbawati, H. Setiadi, R. Ananda, and M. Ardiansyah, “Perancangan Alat Pendeteksi Kebocoran Tabung Gas LPG Dengan Menggunakan Sensor MQ-6 Untuk Mengatasi Bahaya Kebakaran,” Journal of Electrical Technology, vol. 4, no. 2, pp. 53–58, 2019.
[8] I. Hidayat, “Sistem Pendeteksi Kebocoran Gas Menggunakan Sensor MQ-6 Berbasis Jaringan Sensor Wireless,” Techno.Com, vol. 17, no. 4, pp. 355–364, 2018, doi: 10.33633/tc.v17i4.1771.
[9] M. F. Putra, A. H. Kridalaksana, and Z. Arifin, “Rancang Bangun Alat Pendeteksi Kebocoran Gas LPG Dengan Sensor Mq-6 Berbasis Mikrokontroler Melalui Smartphone Android Sebagai Media Informasi,” Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer, vol. 12, no. 1, p. 1, 2017, doi: 10.30872/jim.v12i1.215.
[10] D. Sudrajat et al., “The Implementation of Innovation in Educational Technology to Improve the Quality of Website Learning in Industrial Revolution Era 4.0 Using Waterfall Method,” Journal of Physics: Conference Series, vol. 1364, no. 1, pp. 0–6, 2019, doi: 10.1088/1742-6596/1364/1/012044.