Perancangan Sistem Deteksi Kebocoran Gas Bebasis IoT dan Web Server
Design of a Gas Leak Detection System Based on IoT and Web Server
DOI:
https://doi.org/10.57152/malcom.v5i2.1683Keywords:
Deteksi Kebocoran Gas, Internet of Things, Sensor MQ-2, Monitoring Real-Time, Platform ThingSpeakAbstract
Studi ini bertujuan untuk merancang dan menerapkan sistem deteksi kebocoran gas berdasarkan Internet of Things (IoT) dan teknologi web server menggunakan sensor MQ-2, mikrokontroler NodeMCU ESP8266, dan platform ThingSpeak. Sistem ini dirancang untuk secara akurat mendeteksi kebocoran gas dan memberikan pemberitahuan real-time kepada pengguna. Hasil pengujian menunjukkan bahwa sensor MQ-2 menunjukkan akurasi yang baik dengan penyimpangan ±5% dibandingkan dengan instrumen pengukuran standar, dan ambang deteksi yang ditetapkan pada 700 ppm secara efektif memberikan peringatan awal. Sistem ini memiliki waktu respons sekitar 5 detik dari deteksi kebocoran hingga transmisi data ke ThingSpeak dan menunjukkan keandalan tinggi selama pengujian berulang dalam berbagai kondisi. Meskipun kadang-kadang ada kegagalan transmisi data karena koneksi yang tidak stabil, visualisasi data di ThingSpeak menampilkan grafik yang jelas dan mudah dipahami, memungkinkan pemantauan waktu nyata konsentrasi gas LPG dan analisis tren historis. Akhirnya, sistem ini berhasil memenuhi tujuan meningkatkan keamanan lingkungan dan keamanan terhadap ancaman kebocoran gas, dengan aplikasi potensial yang luas di berbagai sektor.
Downloads
References
G. I. Usiabulu, O. Joel, L. Nosike, V. Aimikhe, and E. Okafor, “A New Pressure-Based Modeling Approach for Early Leak Detection in Gas Processing Plants Using Machine Learning,” Journal of Engineering Research and Reports, vol. 25, no. 6, pp. 18–27, Jul. 2023, doi: 10.9734/jerr/2023/v25i6919.
Dr. G. Annapurna, “LPG Gas Leakage Detection and Alert System,” International Journal of Electrical Engineering and Technology, vol. 13, no. 1, Jul. 2023, doi: 10.37622/ijeet/13.1.2023.11-19.
S. Ahmed, M. J. Rahman, and M. A. Razzak, “Design and Development of an IoT-Based LPG Gas Leakage Detector for Households and Industries,” in 2023 IEEE World AI IoT Congress, AIIoT 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 762–767. doi: 10.1109/AIIoT58121.2023.10174377.
E. Jonathan, P. Nusantara Regas, and M. Management, “International Journal of Engineering Bussines and Social Science Risk analysis of gas dispersion, fire and explosion due to gas pipeline leak at Onshore Receiving Facility of PT XYZ in Muara Karang using Aloha Software 5.4.” [Online]. Available: https://ijebss.ph/index.php/ijebss
V. Praveen Sharma, D. Raman, V. Padmavathi, and G. Vijendar Reddy Gurram, “IoT Based Gas Leakage detection System Using GPS,” in E3S Web of Conferences, EDP Sciences, Jun. 2023. doi: 10.1051/e3sconf/202339101064.
Mr. B B. Gopnarayan, Vishal V. Thavare, Suraj J. Dudhal, Kiran B. Waghmode, and Kishor P. Avalekar, “LPG Gas Leakage Monitoring and Alert System using Arduino,” International Journal of Advanced Research in Science, Communication and Technology, pp. 221–226, Jul. 2023, doi: 10.48175/ijarsct-12033.
V. Tomar, “IOT based Home Automation System,” Int J Res Appl Sci Eng Technol, vol. 11, no. 5, pp. 4237–4240, May 2023, doi: 10.22214/ijraset.2023.52556.
P. C. Bong, M. K. Tsun Tee, and H. S. Jo, “Exploring the Potential of IoT-based Injury Detection and Response by Combining Human Activity Tracking and Indoor Localization,” in Proceedings - 2022 International Conference on Computer and Drone Applications, IConDA 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 28–33. doi: 10.1109/ICONDA56696.2022.10000351.
R. Sarkar et al., “Elevating Gas Safety Standards: ESP32-based Detection Systems with Blynk Integration,” in 2024 IEEE Region 10 Symposium, TENSYMP 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/TENSYMP61132.2024.10752183.
R. Jalinder Jadhav, P. Radhakrishnan, D. Arun Jadhav, B. Ashreetha, J. Divya, and S. Mukherjee, “Internet of Things Enabled Gas Leakage Detection Over Industrial Areas using Powerful MQ Series Sensor and Controller,” in 7th International Conference on Inventive Computation Technologies, ICICT 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1679–1686. doi: 10.1109/ICICT60155.2024.10544961.
G. N. Sai, K. P. Sai, K. Ajay, and P. Nuthakki, “Smart LPG Gas Leakage Detection and Monitoring System,” in Proceedings - 5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 571–576. doi: 10.1109/ICSSIT55814.2023.10060970.
H. Hua, “Design of Mobile Agricultural Data Collection Equipment Based on Arduino,” in Proceedings of 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 1662–1666. doi: 10.1109/ICIBA56860.2023.10165561.
R. Yang, C. Candler, and E. Y. L. Do, “EdBoard: An educational breadboard,” in Extended Abstracts - Proceedings of the 2020 ACM Interaction Design and Children Conference, IDC 2020, Association for Computing Machinery, Jun. 2020, pp. 193–198. doi: 10.1145/3397617.3397832.
O. Attallah and A. M. Elhelw, “Gas Leakage Recognition Using Manifold Convolutional Neural Networks and Infrared Thermal Images,” in Proceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 2003–2008. doi: 10.1109/CSCE60160.2023.00329.
C. G. Lobato, T. M. Cristino, A. F. Neto, and A. F. Branco Costa, “Lean System: Analysis of scientific literature and identification of barriers for implementation from a bibliometric study,” Gestao e Producao, vol. 28, no. 1, 2021, doi: 10.1590/1806-9649.2020V28E4769.
O. Gertsiy, “Models of criterion evaluation of the image processing systems effectiveness,” Collection of scientific works of the State University of Infrastructure and Technologies series “Transport Systems and Technologies,” no. 41, pp. 143–154, Jun. 2023, doi: 10.32703/2617-9059-2023-41-12.
R. Pal, F. Shaikh, J. Shirodkar, and S. Gindi, “IOT Based Real Time Weather Monitoring System Using NODEMCU,” Int J Res Appl Sci Eng Technol, vol. 11, no. 4, pp. 2965–2970, Apr. 2023, doi: 10.22214/ijraset.2023.50313.
BUSRAN and S. Yaumil, “PEMANFAATAN NODE MCU ESP8266 SEBAGAI KOMUNIKASI PENGAKSESAN DATA WEB SERVER PADA STUDI KASUS SISTEM PENGAMANAN PINTU LEMARI ARSIP BERBASIS QRCODE,” Jurnal Teknoif Teknik Informatika Institut Teknologi Padang, vol. 10, no. 2, pp. 86–90, Nov. 2022, doi: 10.21063/jtif.2022.v10.2.86-90.
B. Permana Ginting, D. Setiawan, and S. Yakub, “Implementasi IOT Pada Ruang Tangki Gas Menggunakan Pressure Transmitter Berbasis Node MCU,” Hal 109 JURNAL SISTEM KOMPUTER TGD, vol. 3, no. 4, pp. 109–117, 2024, [Online]. Available: https://ojs.trigunadharma.ac.id/index.php/jskom
A. H. Kelechi et al., “Design of a low-cost air quality monitoring system using arduino and thingspeak,” Computers, Materials and Continua, vol. 70, no. 1, pp. 151–169, 2021, doi: 10.32604/cmc.2022.019431.
C. Kra?kiewicz et al., “Field Experiment as a Tool to Verify The Effectiveness of Prototype Track Structure Components Aimed at Reducing Railway Noise Nuisance,” Archives of Acoustics, vol. 49, no. 1, pp. 61–71, 2024, doi: 10.24425/aoa.2024.148770.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Ani Sesanti, Yuri Rahmanto

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright © by Author; Published by Institut Riset dan Publikasi Indonesia (IRPI)
This Indonesian Journal of Machine Learning and Computer Science is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.