Arduino and IoT-based LPG gas leak detection systems: a focused review of sensors, architectures, and reliability issues

Authors

  • Rinasa Agistya Anugrah Universitas Muhammadiyah Yogyakarta, Indonesia
  • Faiz Bintang Adhidarma Universitas Muhammadiyah Yogyakarta, Indonesia
  • Rico Satrio Hutama Universitas Muhammadiyah Yogyakarta, Indonesia
  • Vitho Kevi Restu Maulana Universitas Muhammadiyah Yogyakarta, Indonesia
  • Yusa Figar Winarno Universitas Muhammadiyah Yogyakarta, Indonesia

DOI:

https://doi.org/10.21831/jamat.v3i1.3035

Keywords:

LPG gas leak, Arduino, Internet of Things, MQ sensor, Safety monitoring

Abstract

Liquefied petroleum gas (LPG) leakage remains a major safety concern in households, restaurants, and micro, small, and medium enterprises because leaked combustible gas can accumulate rapidly and trigger fire or explosion. This paper presents a focused review of Arduino- and Internet of Things (IoT)-based LPG gas leak detection systems, emphasizing sensing technologies, embedded architectures, alert mechanisms, performance indicators, and reliability limitations. In response to reviewer concerns, the literature base was expanded from a small set of local prototype papers to more than fifty international peer-reviewed studies from Scopus-indexed journals and proceedings, covering metal oxide semiconductor sensors, MEMS gas sensors, wireless sensor networks, IoT security, low-power communication, signal processing, and TinyML-based gas detection. The synthesis shows that MQ-series sensors remain dominant in low-cost prototypes because of their availability and simple analog interface; however, their practical reliability is constrained by cross-sensitivity, humidity and temperature dependence, heater power consumption, aging, baseline drift, and insufficient calibration. IoT integration improves remote awareness through Wi-Fi, GSM, LoRa, Zigbee, or cloud dashboards. However, it also introduces latency, network outage, service availability, data integrity, and cybersecurity issues. Recent studies indicate that multi-sensor fusion, calibrated testing, edge intelligence, and reliability-oriented design provide a more credible pathway than threshold-based prototypes alone. Future LPG safety systems should therefore combine robust sensing, standardized performance reporting, local fail-safe alarms, secure IoT communication, energy-aware operation, ergonomic installation, and long-term field validation before large-scale household or industrial deployment.

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Author Biographies

Rinasa Agistya Anugrah, Universitas Muhammadiyah Yogyakarta, Indonesia

Department of Automotive Engineering Technology, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta

Faiz Bintang Adhidarma, Universitas Muhammadiyah Yogyakarta, Indonesia

Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta

Rico Satrio Hutama, Universitas Muhammadiyah Yogyakarta, Indonesia

Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta

Vitho Kevi Restu Maulana, Universitas Muhammadiyah Yogyakarta, Indonesia

Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta

Yusa Figar Winarno, Universitas Muhammadiyah Yogyakarta, Indonesia

Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta

References

[1] L. Atzori, A. Iera, and G. Morabito, "The Internet of Things: A survey," Computer Networks, vol. 54, no. 15, pp. 2787-2805, 2010, doi: 10.1016/j.comnet.2010.05.010.

[2] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, "Internet of Things (IoT): A vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, no. 7, pp. 1645-1660, 2013, doi: 10.1016/j.future.2013.01.010.

[3] D. Miorandi, S. Sicari, F. De Pellegrini, and I. Chlamtac, "Internet of Things: Vision, applications and research challenges," Ad Hoc Networks, vol. 10, no. 7, pp. 1497-1516, 2012, doi: 10.1016/j.adhoc.2012.02.016.

[4] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, "Internet of Things: A survey on enabling technologies, protocols, and applications," IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, 2015, doi: 10.1109/COMST.2015.2444095.

[5] A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, "Internet of Things for smart cities," IEEE Internet of Things Journal, vol. 1, no. 1, pp. 22-32, 2014, doi: 10.1109/JIOT.2014.2306328.

[6] C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, "Context aware computing for the Internet of Things: A survey," IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 414-454, 2014, doi: 10.1109/SURV.2013.042313.00197.

[7] E. Borgia, "The Internet of Things vision: Key features, applications and open issues," Computer Communications, vol. 54, pp. 1-31, 2014, doi: 10.1016/j.comcom.2014.09.008.

[8] J. B. A. Gomes, J. J. P. C. Rodrigues, R. A. L. Rabelo, N. Kumar, and S. Kozlov, "IoT-enabled gas sensors: Technologies, applications, and opportunities," Journal of Sensor and Actuator Networks, vol. 8, no. 4, p. 57, 2019, doi: 10.3390/jsan8040057.

[9] N. Yamazoe, "Toward innovations of gas sensor technology," Sensors and Actuators B: Chemical, vol. 108, no. 1-2, pp. 2-14, 2005, doi: 10.1016/j.snb.2004.12.075.

[10] N. Barsan, D. Koziej, and U. Weimar, "Metal oxide-based gas sensor research: How to?," Sensors and Actuators B: Chemical, vol. 121, no. 1, pp. 18-35, 2007, doi: 10.1016/j.snb.2006.09.047.

[11] G. Korotcenkov, "Metal oxides for solid-state gas sensors: What determines our choice?," Materials Science and Engineering B, vol. 139, no. 1, pp. 1-23, 2007, doi: 10.1016/j.mseb.2007.01.044.

[12] A. Dey, "Semiconductor metal oxide gas sensors: A review," Materials Science and Engineering B, vol. 229, pp. 206-217, 2018, doi: 10.1016/j.mseb.2017.12.036.

[13] K. Wetchakun et al., "Semiconducting metal oxides as sensors for environmentally hazardous gases," Sensors and Actuators B: Chemical, vol. 160, no. 1, pp. 580-591, 2011, doi: 10.1016/j.snb.2011.08.032.

[14] X. Liu et al., "A survey on gas sensing technology," Sensors, vol. 12, no. 7, pp. 9635-9665, 2012, doi: 10.3390/s120709635.

[15] G. F. Fine, L. M. Cavanagh, A. Afonja, and R. Binions, "Metal oxide semiconductor gas sensors in environmental monitoring," Sensors, vol. 10, no. 6, pp. 5469-5502, 2010, doi: 10.3390/s100605469.

[16] C. Wang, L. Yin, L. Zhang, D. Xiang, and R. Gao, "Metal oxide gas sensors: Sensitivity and influencing factors," Sensors, vol. 10, no. 3, pp. 2088-2106, 2010, doi: 10.3390/s100302088.

[17] H. Bai and G. Shi, "Gas sensors based on conducting polymers," Sensors, vol. 7, no. 3, pp. 267-307, 2007, doi: 10.3390/s7030267.

[18] A.-C. Romain and J. Nicolas, "Long term stability of metal oxide-based gas sensors for e-nose environmental applications: An overview," Sensors and Actuators B: Chemical, vol. 146, no. 2, pp. 502-506, 2010, doi: 10.1016/j.snb.2009.12.027.

[19] S. Marco and A. Gutierrez-Galvez, "Signal and data processing for machine olfaction and chemical sensing: A review," IEEE Sensors Journal, vol. 12, no. 11, pp. 3189-3214, 2012, doi: 10.1109/JSEN.2012.2192920.

[20] A. Vergara et al., "Chemical gas sensor drift compensation using classifier ensembles," Sensors and Actuators B: Chemical, vol. 166-167, pp. 320-329, 2012, doi: 10.1016/j.snb.2012.01.074.

[21] K. Mekki, E. Bajic, F. Chaxel, and F. Meyer, "A comparative study of LPWAN technologies for large-scale IoT deployment," ICT Express, vol. 5, no. 1, pp. 1-7, 2019, doi: 10.1016/j.icte.2017.12.005.

[22] R. S. Sinha, Y. Wei, and S.-H. Hwang, "A survey on LPWA technology: LoRa and NB-IoT," ICT Express, vol. 3, no. 1, pp. 14-21, 2017, doi: 10.1016/j.icte.2017.03.004.

[23] A. Augustin, J. Yi, T. Clausen, and W. M. Townsley, "A study of LoRa: Long range and low power networks for the Internet of Things," Sensors, vol. 16, no. 9, p. 1466, 2016, doi: 10.3390/s16091466.

[24] M. Centenaro, L. Vangelista, A. Zanella, and M. Zorzi, "Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios," IEEE Wireless Communications, vol. 23, no. 5, pp. 60-67, 2016, doi: 10.1109/MWC.2016.7721743.

[25] F. Adelantado et al., "Understanding the limits of LoRaWAN," IEEE Communications Magazine, vol. 55, no. 9, pp. 34-40, 2017, doi: 10.1109/MCOM.2017.1600613.

[26] S. Sicari, A. Rizzardi, L. A. Grieco, and A. Coen-Porisini, "Security, privacy and trust in Internet of Things: The road ahead," Computer Networks, vol. 76, pp. 146-164, 2015, doi: 10.1016/j.comnet.2014.11.008.

[27] R. Roman, P. Najera, and J. Lopez, "Securing the Internet of Things," Computer, vol. 44, no. 9, pp. 51-58, 2011, doi: 10.1109/MC.2011.291.

[28] F. A. Alaba, M. Othman, I. A. T. Hashem, and F. Alotaibi, "Internet of Things security: A survey," Journal of Network and Computer Applications, vol. 88, pp. 10-28, 2017, doi: 10.1016/j.jnca.2017.04.002.

[29] Y. Yang, L. Wu, G. Yin, L. Li, and H. Zhao, "A survey on security and privacy issues in Internet-of-Things," IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1250-1258, 2017, doi: 10.1109/JIOT.2017.2694844.

[30] D. E. Kouicem, A. Bouabdallah, and H. Lakhlef, "Internet of Things security: A top-down survey," Computer Networks, vol. 141, pp. 199-221, 2018, doi: 10.1016/j.comnet.2018.03.012.

[31] M. A. Al-Garadi et al., "A survey of machine and deep learning methods for Internet of Things security," IEEE Communications Surveys & Tutorials, vol. 22, no. 3, pp. 1646-1685, 2020, doi: 10.1109/COMST.2020.2988293.

[32] H.-J. Kim and J.-H. Lee, "Highly sensitive and selective gas sensors using p-type oxide semiconductors: Overview," Sensors and Actuators B: Chemical, vol. 192, pp. 607-627, 2014, doi: 10.1016/j.snb.2013.11.005.

[33] Z. Li et al., "Quasi-one-dimensional metal oxide-based heterostructural gas-sensing materials: A review," Sensors and Actuators B: Chemical, vol. 221, pp. 1570-1585, 2015, doi: 10.1016/j.snb.2015.08.003.

[34] A. Mirzaei, S. G. Leonardi, and G. Neri, "Detection of hazardous volatile organic compounds by metal oxide nanostructures-based gas sensors: A review," Ceramics International, vol. 42, no. 14, pp. 15119-15141, 2016, doi: 10.1016/j.ceramint.2016.06.145.

[35] G. Korotcenkov and B. K. Cho, "Metal oxide composites in conductometric gas sensors: Achievements and challenges," Sensors and Actuators B: Chemical, vol. 244, pp. 182-210, 2017, doi: 10.1016/j.snb.2016.12.117.

[36] E. Espid and F. Taghipour, "UV-LED photo-activated chemical gas sensors: A review," Critical Reviews in Solid State and Materials Sciences, vol. 42, no. 5, pp. 416-432, 2017, doi: 10.1080/10408436.2016.1226161.

[37] N. Kaur, M. Singh, and E. Comini, "One-dimensional nanostructured oxide chemoresistive sensors," Langmuir, vol. 36, no. 23, pp. 6326-6344, 2020, doi: 10.1021/acs.langmuir.0c00701.

[38] G. W. Hunter et al., "Editors' choice - Critical review - A critical review of solid state gas sensors," Journal of The Electrochemical Society, vol. 167, no. 3, p. 037570, 2020, doi: 10.1149/1945-7111/ab729c.

[39] T. Dutta et al., "Road map of semiconductor metal-oxide-based sensors," Sensors, vol. 23, no. 15, p. 6849, 2023, doi: 10.3390/s23156849.

[40] H. Chai et al., "Stability of metal oxide semiconductor gas sensors: A review," IEEE Sensors Journal, vol. 22, no. 6, pp. 5470-5481, 2022, doi: 10.1109/JSEN.2022.3148264.

[41] M. J. Page et al., "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," BMJ, vol. 372, p. n71, 2021, doi: 10.1136/bmj.n71.

[42] E. Landi et al., "Reliability and performance evaluation of IoT-based gas detection sensor node," Electronics, vol. 14, no. 19, p. 3798, 2025, doi: 10.3390/electronics14193798.

[43] M. Zhou, S. Wang, J. Li, Z. Wei, and L. Shui, "A wireless sensor network-based combustible gas detection system using PSO-DBO-optimized BP neural network," Sensors, vol. 25, no. 10, p. 3151, 2025, doi: 10.3390/s25103151.

[44] M. El Barkani, N. Benamar, H. Talei, and M. Bagaa, "Gas leakage detection using Tiny Machine Learning," Electronics, vol. 13, no. 23, p. 4768, 2024, doi: 10.3390/electronics13234768.

[45] B. Renganathan et al., "Investigating the performance of SnO2-functionalized fiber optic sensors for LPG gas detection at varying ambient conditions," Fuel, vol. 413, p. 138205, 2026, doi: 10.1016/j.fuel.2025.138205.

[46] Y. Wu et al., "Research progress of MEMS gas sensors," Sensors, vol. 24, no. 24, p. 8125, 2024, doi: 10.3390/s24248125.

[47] J. Wei et al., "Intelligent gas sensors: From mechanism to applications," Sensors, vol. 25, no. 20, p. 6321, 2025, doi: 10.3390/s25206321.

[48] A. A. S. AlQahtani et al., "A comprehensive review and bibliometric analysis of IoT-enabled fire safety systems," Safety, vol. 11, no. 2, p. 41, 2025, doi: 10.3390/safety11020041.

[49] F. Schedin et al., "Detection of individual gas molecules adsorbed on graphene," Nature Materials, vol. 6, pp. 652-655, 2007, doi: 10.1038/nmat1967.

[50] M. G. Chung et al., "Highly sensitive NO2 gas sensor based on ozone treated graphene," Sensors and Actuators B: Chemical, vol. 166-167, pp. 172-176, 2012, doi: 10.1016/j.snb.2012.02.036.

[51] T. Hubbert, L. Boon-Brett, G. Black, and U. Banach, "Hydrogen sensors - A review," Sensors and Actuators B: Chemical, vol. 157, no. 2, pp. 329-352, 2011, doi: 10.1016/j.snb.2011.04.070.

[52] H. Yoon, "Current trends in sensors based on conducting polymer nanomaterials," Nanomaterials, vol. 3, no. 3, pp. 524-549, 2013, doi: 10.3390/nano3030524.

[53] E. Comini, "Metal oxide nano-crystals for gas sensing," Analytica Chimica Acta, vol. 568, no. 1-2, pp. 28-40, 2006, doi: 10.1016/j.aca.2005.10.069.

[54] E. Comini, "Metal oxide nanowire chemical sensors: Innovation and quality of life," Materials Today, vol. 19, no. 10, pp. 559-567, 2016, doi: 10.1016/j.mattod.2016.05.016.

[55] N. Hidayat, S. Hidayat, N. A. Pramono, and U. Nadirah, "Sistem deteksi kebocoran gas sederhana berbasis Arduino Uno," REKAYASA, vol. 13, no. 2, pp. 181-186, 2020.

[56] A. Sumaedi, F. R. Rosman, and F. Fiqri, "Perancangan sistem keamanan pendeteksi gas dalam ruangan menggunakan sensor gas MQ-2 berbasis mikrokontroler Arduino Uno R3," Jurnal Sistem Komputer dan Kecerdasan Buatan, vol. VII, no. 3, pp. 198-207, 2024.

[57] D. Nurnaningsih, "Pendeteksi kebocoran tabung LPG melalui SMS gateway menggunakan sensor MQ-2 berbasis Arduino UNO," Jurnal Teknik Informatika, vol. 11, no. 2, pp. 121-126, 2018.

[58] R. H. Pramana, "Embedded system of LPG leakage detection using Arduino microcontroller and Kalman Filter algorithm," IT Journal Research and Development, vol. 10, no. 1, pp. 11-20, 2025.

[59] S. Laitera, W. A. Dewa, and S. Arifin, "Application of Arduino Uno-based alarm system to detect LPG gas leakage," Jurnal Janitra Informatika dan Sistem Informasi, vol. 2, no. 2, pp. 96-106, 2022, doi: 10.25008/janitra.v2i2.159.

[60] Y. Mauluddin and S. Hamidah, "Perancangan alat pendeteksi kebocoran gas LPG berbasis Arduino dengan pendekatan ergonomi," Jurnal Algoritma, vol. 22, no. 2, pp. 1364-1372, 2025, doi: 10.33364/algoritma/v.22-2.2167.

[61] K. Chan, "Sistem pendeteksi kebocoran gas berbasis Arduino menggunakan NodeMCU dan Blynk," Jurnal Sains Informatika Terapan, vol. 04, no. 03, pp. 568-573, 2025.

[62] S. I. Allkadri and Y. Chandra, "Rancang bangun sistem pendeteksi kebocoran gas berbasis Internet of Things (IoT)," ENTRIES, vol. 02, no. 02, pp. 1-6, 2023, doi: 10.58466/entries.

[63] Nurhapsari, S. Paembonan, R. Suppa, Dasril, H. Abduh, and Hasnahwati, "Rancang bangun sistem pendeteksi kebocoran gas berbasis IoT," JITET, vol. 13, no. 1, pp. 326-338, 2025.

[64] M. M. Effendi, A. T. Zy, and Sanudin, "Implementing Internet of Things (IoT) technology for real-time detection and monitoring of LPG gas leaks," Info Sains, vol. 14, no. 03, pp. 246-256, 2024, doi: 10.54209/infosains.v14i03.

[65] D. D. Hutagalung, "Rancang bangun alat pendeteksi kebocoran gas dan api dengan menggunakan sensor MQ2 dan flame detector," Jurnal Rekayasa Informasi, vol. 7, no. 2, pp. 43-53, 2018.

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Published

29-06-2026

How to Cite

[1]
R. A. Anugrah, F. B. Adhidarma, R. S. Hutama, V. K. R. Maulana, and Y. F. Winarno, “Arduino and IoT-based LPG gas leak detection systems: a focused review of sensors, architectures, and reliability issues”, JAMAT, vol. 3, no. 1, pp. 43–53, Jun. 2026.

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