Adaptation of Internet of Things Technology to Measure Energy Consumption Levels to Reduce Ergonomics-Based Work Accidents

Intan Berlianty(1*), Irwan Soejanto(2), Indun Titisariwati(3), Eko Nursubiyantoro(4), Miftahol Arifin(5),

(1) Universitas Pembangunan Nasional "Veteran" Yogyakarta
(2) Universitas Pembangunan Nasional "Veteran" Yogyakarta
(3) Universitas Pembangunan Nasional "Veteran" Yogyakarta
(4) Universitas Pembangunan Nasional "Veteran" Yogyakarta
(5) Institut Teknologi Telkom Purwokerto
(*) Corresponding Author


This research focuses on applying Internet of Things (IoT) technology to measure energy consumption levels to reduce work accidents based on ergonomics. Work accidents caused by ergonomic factors, such as physical fatigue and discomfort, can be overcome by understanding and managing energy consumption in the work environment. Comparisons made between IoT-based approaches and traditional methods, such as manual observation and periodic evaluation, are often less efficient and unresponsive to changes in the dynamic work environment.The research methodology consists of three main stages. First, design and implement an IoT system involving intelligent sensors to measure energy consumption and ergonomic factors. Second, real-time data collection by analyzing data using artificial intelligence algorithms. Third, performance comparison between IoT-based and traditional methods through field trials and statistical analysis. The research results are expected to provide new insights regarding the effectiveness and efficiency of IoT technology in managing the risk of work accidents based on ergonomics. Future implications of this research include the potential for widespread use of IoT technology in various industrial sectors to improve worker safety and well-being. In addition, this research can pave the way for developing more sophisticated technological solutions tailored to the specific needs of each sector.


internet of things; ergonomic; sensor; Occupational Health and Safety (OHS)

Full Text:



Athirah, B., & Nurul Shahida, M. S. (2019). Occupational Noise Exposure among Airport Workers in Malaysia: An Ergonomic Investigation. Journal of Physics: Conference Series, 1262(1).

Balog, A., Băjenaru, L., & Cristescu, I. (2019). Analyzing the factors affecting the quality of IoT-based smart wearable devices using the DANP method. Studies in Informatics and Control, 28(4), 431–442.

Baron, M. (2020). Internet of things. In The Routledge Companion to Managing Digital Outsourcing (pp. 319–330). Taylor and Francis.

Berlianty, I., & Rachmawati, D. (2021). Noise Level Measurement to Reduce the Risk of Injury with the Internet of Things and Ergonomic Approach. RSF Conference Series: Engineering and Technology, 1(1), 126–135.

Cachada, A., Barbosa, J., Leitao, P., Deusdado, L., Costa, J., Teixeira, J., Teixeira, C., Romero, L., & Moreira, P. M. (2019). Development of Ergonomic User Interfaces for the Human Integration in Cyber-Physical Systems. IEEE International Symposium on Industrial Electronics, 2019-June, 1632–1637.

Corichi-Herrejón, J., Santiago-Pineda, A., Montes-Gómez, B., Juárez-Cruz, A. S., Reyes-Zárate, G. G., Moreno-Moreno, J., & Pérez-Rojas, D. (2021). Ergonomics Assessment Based on IoT Wearable Device. Advances in Intelligent Systems and Computing, 1378 AISC, 508–515.

Elvers, G. C. (1999). An Introduction to Human Factors Engineering by Christopher D. Wickens, Sallie E. Gordon, & Yili liu 1998, 636 pages, $80.63 New York: Longman ISBN 0-321-01229-1. Ergonomics in Design: The Quarterly of Human Factors Applications, 7(2).

Häikiö, J., Kallio, J., Mäkelä, S.-M., & Keränen, J. (2020). IoT-based safety monitoring from the perspective of construction site workers. International Journal of Occupational and Environmental Safety, 4(1), 1–14.

Huda, A. I., & Suwandi, T. (2018). Relations Between Workload and Consumption of Drinking Water With Dehydration in Workers of Tofu Factory. The Indonesian Journal of Occupational Safety and Health, 7(3).

Iridiastadi, H. (2021). Fatigue in the Indonesian rail industry: A study examining passenger train drivers. Applied Ergonomics, 92.

Kleiner, B. M. (2002). Macroergonomics in large-scale organizational change. In Macroergonomics: Theory, Methods, and Applications.

Konz, S. (1987). Ergonomic job design. International Journal of Industrial Ergonomics, 1(4).

Meo, S. A., Al-Khlaiwi, T., Usmani, A. M., Meo, A. S., Klonoff, D. C., & Hoang, T. D. (2020). Biological and epidemiological trends in the prevalence and mortality due to outbreaks of novel coronavirus COVID-19. Journal of King Saud University - Science, 32(4).

Nurmianto, E. (2003). Ergonomi Konsep Dasar dan Aplikasinya Edisi Pertama. In Guna Widya, Surabaya.

Nurmianto, E., Anzip, A., & Kusrini, D. E. (2021). REBA: an Ergonomics Assessment for Machine Operator of Porang (Amorphophallus Muelleri). IPTEK Journal of Proceedings Series, 0(2).

Saeidifard, F., Medina-Inojosa, J. R., Supervia, M., Olson, T. P., Somers, V. K., Erwin, P. J., & Lopez-Jimenez, F. (2018). Differences of energy expenditure while sitting versus standing: A systematic review and meta-analysis. In European Journal of Preventive Cardiology (Vol. 25, Issue 5, pp. 522–538). SAGE Publications Inc.

Sari, L. R., & Berlianty, I. (2019). Pengaruh Lingkungan Kerja Fisik Terhadap Produktivitas Dengan Pendekatan Ergonomi Makro (Studi Kasus di PT. Murakabi Jaya Mandiri). Jurnal Optimasi Sistem Industri, 12(1).

Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 14(4), 521–524.

Van Schoor, H., & Konz, S. (1996). Males/females: An anthropometric comparison for modelling missing data. International Journal of Industrial Ergonomics, 17(5).

Wasnik, P., & Jeyakumar, A. (2016). Monitoring stress level parameters of frequent computer users. International Conference on Communication and Signal Processing, ICCSP 2016.

Zavareh, M. T., Sadaune, S., Siedler, C., Aurich, J. C., Zink, K. J., & Eigner, M. (2018a). A Study on the socio-technical aspects of digitization technologies for future integrated engineering work systems. Proceedings of NordDesign: Design in the Era of Digitalization, Nord Design 2018.

Zavareh, M. T., Sadaune, S., Siedler, C., Aurich, J. C., Zink, K. J., & Eigner, M. (2018b). A Study on the socio-technical aspects of digitization technologies for future integrated engineering work systems. Proceedings of NordDesign: Design in the Era of Digitalization, Nord Design 2018.

Article Metrics

Abstract view(s): 155 time(s)
PDF: 107 time(s)


  • There are currently no refbacks.