Implementation of Internet of Things (IoT) System at PT XXX using the MQTT system

Authors

  • Katherine Febrianty Sumartono Universitas Advent Indonesia
  • Yusran Timur Samuel Fakultas Teknologi Informasi, Universitas Advent Indonesia

https://doi.org/10.36342/teika.v14i2.3784

Keywords:

IoT, MQTT, Mosquitto, Teltonika RUT951, PI Vision

Abstract

The Internet of Things (IoT) system has been implemented at PT XXX to improve operational efficiency, especially in monitoring the Ingersoll C1000 centrifugal compressor. This compressor produces high-pressure air that plays an important role in the nickel processing process. This system integrates the Message Queuing Telemetry Transport (MQTT) protocol, IoT sensors, Teltonika RUT951 gateway, and Mosquitto broker to send temperature data in JSON format in real-time. This data is then visualized using AVEVA PI Vision, which provides trend-based information to support analysis and decision making. Previously, monitoring was only carried out locally without historical data, making it difficult to detect potential damage. Operators also had to conduct direct inspections to the field to check the condition of the compressor, which was time-consuming and inefficient. With this IoT-based system, data can be monitored directly from the head office, saving travel time and increasing operational productivity. Trials in a real operational environment showed that data transmission via MQTT was stable even in a limited network. Visualization in AVEVA PI Vision provides a real-time picture that supports early detection of anomalies and data-driven decision making. The results of this study indicate that IoT technology with the MQTT protocol is able to improve monitoring efficiency, optimize system performance, and provide innovative solutions to connectivity challenges in the industry. This implementation also opens up new opportunities for IoT applications in supporting operational efficiency and sustainability.

Article Metrics

Downloads

Download data is not yet available.

References

“Performance Monitoring of MQTT-based Messaging Server and System,” J. Logist. Inform. Serv. Sci., Jan. 2022, doi: 10.33168/LISS.2022.0107.

B. Mishra, B. Mishra, and A. Kertesz, “Stress-Testing MQTT Brokers: A Comparative Analysis of Performance Measurements,” Energies, vol. 14, no. 18, p. 5817, Sep. 2021, doi: 10.3390/en14185817.

F. Bahfie, A. Manaf, W. Astuti, F. Nurjaman, and U. Herlina, “TINJAUAN TEKNOLOGI PROSES EKSTRAKSI BIJIH NIKEL LATERIT,” J. Teknol. Miner. Dan Batubara, vol. 17, no. 3, Art. no. 3, Sep. 2021, doi: 10.30556/jtmb.Vol17.No3.2021.1156.

E. Bertrand‐Martinez, P. Dias Feio, V. D. Brito Nascimento, F. Kon, and A. Abelém, “Classification and evaluation of IoT brokers: A methodology,” Int. J. Netw. Manag., vol. 31, no. 3, p. e2115, May 2021, doi: 10.1002/nem.2115.

“IoT Monitoring System Based on MQTT Publisher/Subscriber Protocol,” Iraqi J. Comput. Commun. Control Syst. Eng., pp. 75–83, Jul. 2020, doi: 10.33103/uot.ijccce.20.3.7.

B. Mishra and A. Kertesz, “The Use of MQTT in M2M and IoT Systems: A Survey,” IEEE Access, vol. 8, pp. 201071–201086, 2020, doi: 10.1109/ACCESS.2020.3035849.

M. Saiqul Umam, S. Adi Wibowo, and Y. Agus Pranoto, “IMPLEMENTASI PROTOKOL MQTT PADA APLIKASI SMART GARDEN BERBASIS IOT (INTERNET OF THINGS),” JATI J. Mhs. Tek. Inform., vol. 7, no. 1, pp. 899–906, Jun. 2023, doi: 10.36040/jati.v7i1.6131.

M. Bender, E. Kirdan, M.-O. Pahl, and G. Carle, “Open-Source MQTT Evaluation,” in 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA: IEEE, Jan. 2021, pp. 1–4. doi: 10.1109/CCNC49032.2021.9369499.

B. B. Darujati, D. K. Silalahi, and A. Z. Fuadi, “Perancangan Perangkat Deteksi Anomali Pada Kipas Saluran”.

H. Hindy et al., “A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems,” IEEE Access, vol. 8, pp. 104650–104675, 2020, doi: 10.1109/ACCESS.2020.3000179.

F. Susanto, N. K. Prasiani, and P. Darmawan, “IMPLEMENTASI INTERNET OF THINGS DALAM KEHIDUPAN SEHARI-HARI,” J. Imagine, vol. 2, no. 1, pp. 35–40, Apr. 2022, doi: 10.35886/imagine.v2i1.329.

V. Borisov, T. Leemann, K. Seßler, J. Haug, M. Pawelczyk, and G. Kasneci, “Deep Neural Networks and Tabular Data: A Survey,” IEEE Trans. Neural Netw. Learn. Syst., vol. 35, no. 6, pp. 7499–7519, Jun. 2024, doi: 10.1109/TNNLS.2022.3229161.

I. Vaccari, G. Chiola, M. Aiello, M. Mongelli, and E. Cambiaso, “MQTTset, a New Dataset for Machine Learning Techniques on MQTT,” Sensors, vol. 20, no. 22, p. 6578, Nov. 2020, doi: 10.3390/s20226578.

R. F. Pratama, R. S. R. Wicaksono, and A. N. Pramudhita, “PERANCANGAN DAN IMPLEMENTASI PROTOKOL MQTT PADA SISTEM PARKIR CERDAS BERBASIS IOT,” J. Inform. Dan Tek. Elektro Terap., vol. 11, no. 3, Aug. 2023, doi: 10.23960/jitet.v11i3.3191.

A. Turnip, F. R. Pebriansyah, T. Simarmata, P. Sihombing, and E. Joelianto, “Design of smart farming communication and web interface using MQTT and Node.js,” Open Agric., vol. 8, no. 1, p. 20220159, Oct. 2023, doi: 10.1515/opag-2022-0159.

S. Pawar, N. Panigrahi, J. A.P, M. Lokhande, D. Godse, and J. D B, “Evaluation of Delay Parameter of MQTT Protocol,” Int. J. Eng. Trends Technol., vol. 71, no. 3, pp. 227–235, Mar. 2022, doi: 10.14445/22315381/IJETT-V71I3P223.

E. Di Paolo, E. Bassetti, and A. Spognardi, “Security assessment of common open source MQTT brokers and clients,” Sep. 07, 2023, arXiv: arXiv:2309.03547. doi: 10.48550/arXiv.2309.03547.

U. Achlison, Khoirur Rozikin, and Fujiama Diapoldo, “Analisis Implementasi Temperature Screening Contactless berbasis Internet Of Things (IOT) Menggunakan Protokol Message Queue Telemetry Transport (MQTT),” Pixel J. Ilm. Komput. Graf., vol. 14, no. 2, pp. 315–322, Dec. 2021, doi: 10.51903/pixel.v14i2.617.

M. A. Khan et al., “A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT,” Sensors, vol. 21, no. 21, p. 7016, Oct. 2021, doi: 10.3390/s21217016.

E. B. Sanjuan, I. A. Cardiel, J. A. Cerrada, and C. Cerrada, “Message Queuing Telemetry Transport (MQTT) Security: A Cryptographic Smart Card Approach,” IEEE Access, vol. 8, pp. 115051–115062, 2020, doi: 10.1109/ACCESS.2020.3003998.

“IOT BASED HEALTH MONITORING SYSTEM,” J. Crit. Rev., vol. 7, no. 04, Feb. 2020, doi: 10.31838/jcr.07.04.137.

Downloads

Published

2024-10-31

How to Cite

Sumartono, K. F., & Samuel, Y. T. (2024). Implementation of Internet of Things (IoT) System at PT XXX using the MQTT system. TeIKa, 14(2), 173-184. https://doi.org/10.36342/teika.v14i2.3784

Most read articles by the same author(s)

> >>