Portable Construction Maps (PCM) using location fingerprint positioning algorithm for construction worker safety

Authors

  • Annurdien Rasyid Universitas Negeri Yogyakarta, Indonesia
  • Ahsan Firdaus Universitas Negeri Yogyakarta, Indonesia
  • Dwi Setiawan Universitas Negeri Yogyakarta, Indonesia
  • Hajidah Salsabila Allissa Fitri Universitas Negeri Yogyakarta, Indonesia
  • Pradana Setialana Universitas Negeri Yogyakarta, Indonesia

DOI:

https://doi.org/10.21831/jeatech.v3i1.43666

Keywords:

Worker Safety, Location Fingerprint, Machine Learning, K Nearest Neighbor, Indoor Positioning

Abstract

The existence of a work from home policy does not seem to have a substantial impact on construction workers. Cases of work accidents on infrastructure projects during the Covid-19 pandemic experienced a significant increase. As reported by BPJamsostek data that the number of work accident insurance claims in the first semester (January-June) 2020 reached 108,573 cases. An increase of 128% over the same period in the previous year.  One of the steps from the construction side to minimize the occurrence of work accidents is by marking dangerous locations or limiting them with a yellow line. The supervision is carried out by the Occupational Health and Safety division which supervises every worker by using hearing and sight senses. However, this supervision is deemed less effective and efficient considering the number of work accidents that continue to increase over time. Therefore, a worker location monitoring system based on An indoor positioning system called Portable Construction Maps (PCM) Using Location Fingerprint Positioning Algorithm for Construction Worker Safety was developed. The development of this system uses the algorithm Location Fingerprint as a method for estimating the location of workers in a construction building. Each worker will bring a device called the Worker Tag, in which there is a microcontroller (Espressif 32) with WiFi and Bluetooth module, which is used to capture wifi and bluetooth signals and calculate the Received signal strength indication(RSSI) which will be sent to the server to be processed using the location fingerprint algorithm. In addition, in the worker tag there is also a Passive Buzzer that is used to alert workers if they enter a dangerous area.

References

T. W. Afrianty, I. G. Artatanaya, and J. Burgess, "Jo ur na l P re f," Asia Pacific Manag. Rev., 2021, doi: 10.1016/j.apmrv.2021.05.002.

E. M. Syaputra and T. S. Nurbaeti, "Implementasi Promosi Keselamatan dan Kesehatan Kerja Media Meme terhadap Perilaku Aman Pekerja di PT," Jurnal Keperawatan, vol. 13, no. 1, pp. 53-60, 2021.

C. D. Yuliandi and E. Ahman, "Penerapan Keselamatan dan Kesehatan Kerja (K3) di Lingkungan Kerja Balai Inseminasi Buatan (BIB) Lembang," Jurnal Manajemen dan Sistem Informasi, vol. 18, no. 2, pp. 98-109, 2019.

S. Mason and B. Lawton, Improving Compliance with Safety Procedures Reducing Industrial Violations, Britain: Health and Safety Executive, 1995.

J. Viñals and J. Fiechter, "The Making of Good Supervision : Learning to Say "˜ No ' with," 2010.

N. R. Saisandhiya, "Hazard Identification and Risk Assessment in Petrochemical Industry," Int. J. Res. Appl. Sci. Eng. Technol., vol. 8, no. 9, pp. 778–783, 2020, doi: 10.22214/ijraset.2020.31583.

B. J. Youngberg, Principles of Risk Management and Patient Safety, Canada: Jones & Bartlett Learning, 2011.

Wayne Crosbie, "Use Common Business Tools and Technology," pp. 9–31, 2012, [Online]. Available: https://www.asean.org/wp-content/uploads/images/2013/economic/matm/Toolboxes for Six Tourism Labour Divisions/Common Competencies (as of February 2013)/Use common business tools and technology/TM_Use_common_bus_tools_&_tech_310812.pdf.

D. Mustajab, A. Bauw, A. Rasyid, A. Irawan, and M. A. Hamid, "Working from Home Phenomenon as an Effort to Prevent COVID-19 Attacks and Its Impacts on Work Productivity Duta," Int. J. Appl. Bus., vol. 53, no. 9, pp. 1689–1699, 2013.

Y. Bassil, "A Simulation Model for the Waterfall Software Development Life Cycle," International Journal of Engineering & Technology, vol. 2, no. 5, pp. 2049-3444, 2012.

M. Kramer, "Best Practices in Systems Development Lifecycle: an Analyses Based on the Waterfall Model," Rev. Bus. Financ. Stud., vol. 9, no. 1, pp. 77–84, 2018.

B. Camburn et al., "Design prototyping methods: State of the art in strategies, techniques, and guidelines," Des. Sci., vol. 3, no. Schrage 1993, pp. 1–33, 2017, doi: 10.1017/dsj.2017.10.

Downloads

Published

2022-03-30

How to Cite

Rasyid, A., Firdaus, A., Setiawan, D., Fitri, H. S. A., & Setialana, P. (2022). Portable Construction Maps (PCM) using location fingerprint positioning algorithm for construction worker safety. Journal of Engineering and Applied Technology, 3(1), 27–34. https://doi.org/10.21831/jeatech.v3i1.43666

Issue

Vol. 3 No. 1 (2022): (March)

Section

Articles

Citation Check

License


Journal of Engineering and Applied Technology is licensed under a Creative Commons Atribution 4.0 Internasional License.