Penerapan Prinsip Ergonomi dalam Perancangan Alat Kerja untuk Meningkatkan Produktivitas dan Kesehatan Pekerja di Industri Manufaktur

Authors

  • Ikbal Anggara Universitas Sehati Indonesia
  • Zulfadlillah Zulfadlillah Universitas Sehati Indonesia
  • Siti Nur Hamidah Universitas Sehati Indonesia
  • Ibrahim Abdul Sopyan Universitas Sehati Indonesia

DOI:

https://doi.org/10.55606/jurritek.v3i1.4771

Keywords:

ergonomics, manufacturing industry, work tool design

Abstract

Applying ergonomic principles in work tool design for manufacturing industries is a crucial factor in improving productivity while maintaining worker health. This research aims to analyze the effectiveness of adaptive work tool design models based on cognitive and physiological ergonomic principles, identify interaction patterns between workstation design and operational performance, and develop a conceptual framework for integrating ergonomic principles into production cycles. The research method adopts a cognitive-physiological approach with qualitative analysis of human-machine interactions, biomechanical simulations using digital human modeling, and muscle load measurements through electromyography. Implementation was conducted using a participatory ergonomics approach and IMU sensor-based real-time monitoring systems. Results show that using materials with controlled deformation capabilities (15-20%) in work tools reduces muscle work by up to 27%, while adaptive automation system integration improves assembly accuracy by 18%. Workstations with ergonomic adjustments increase assembly speed by an average of 12%, and low-cost ergonomic interventions effectively improve productivity by 11-15% in resource-limited environments. Longitudinal analysis reveals that evidence-based ergonomic investments yield a 230% ROI through increased productivity, reduced injury compensation costs, and decreased employee turnover. IMU-based posture monitoring systems integrated with adaptive feedback loops reduced musculoskeletal disorder incidents by up to 41%. In conclusion, ergonomic optimization based on cognitive-physiological principles creates synergy between production efficiency and worker well-being, making it an essential component in achieving sustainable productivity.

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References

Alya Wahyu Rahma Dinanty, Firza Najahan, Alifia Ayu Miranti, Haidar Natsir A., & Denny Oktavina Radianto. (2023). Pengukuran dan evaluasi potensi bahaya ergonomi pada pekerja DKRTH di area ITS Raya. Journal of Student Research, 1(3), 355–366. https://doi.org/10.55606/jsr.v1i3.1266

Bortolini, M., Botti, L., Galizia, F. G., & Mora, C. (2023). Ergonomic design of an adaptive automation assembly system. Machines, 11(9), 898. https://doi.org/10.3390/machines11090898

Cardoso, A., Colim, A., Bicho, E., Braga, A. C., & Arezes, P. (2025). A novel human-centered methodology for assessing manual-to-collaborative safe conversion of workstations. Safety Science, 181, 106685. https://doi.org/10.1016/j.ssci.2024.106685

Hoe, V. C., Urquhart, D. M., Kelsall, H. L., Zamri, E. N., & Sim, M. R. (2018). Ergonomic interventions for preventing work-related musculoskeletal disorders of the upper limb and neck among office workers. Cochrane Database of Systematic Reviews, 2018(10). https://doi.org/10.1002/14651858.CD008570.pub3

International Labour Organization. (2021). World employment and social outlook.

Marchisio, R. A. O., & Collao-Díaz, M. F. (2023). Analysis of the application of ergonomics to increase productivity in manufacturing companies: A systematic review of the literature. In Proceedings of the International Conference on Industrial Engineering and Operations Management. Michigan, USA: IEOM Society International. https://doi.org/10.46254/AU02.20230240

Minggu, H., Mautang, T. W. E., & Suarjana, I. W. G. (2024). Hubungan durasi kerja dan risiko ergonomi dengan kejadian keluhan musculoskeletal pada pengrajin gerabah Pulutan Kecamatan Remboken. Jurnal Kesehatan Tambusai, 5(2), 5703–5713. https://doi.org/10.31004/jkt.v5i2.28138

Roy, R., Murad, M. M. A., Billah, M. M., Talapatra, S., Rahman, M. M., & Biswas, S. K. (2024). Comparative ergonomic posture analysis of CNC milling machine workers through digital human modeling and artificial neural networks. Indian Journal of Science and Technology, 17(19), 1935–1946. https://doi.org/10.17485/IJST/v17i19.912

UNESA. (2024). Ergonomi. Retrieved from https://terapan-listrik.vokasi.unesa.ac.id/post/ergonomi

Wasi, A. T., & Islam, M. R. (2024). CogErgLLM: Exploring large language model systems design perspective using cognitive ergonomics. In Proceedings of the 1st Workshop on NLP for Science (NLP4Science) (pp. 249–258). Stroudsburg, PA, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.nlp4science-1.22

Wink, C., Yang, S. M., Habib, A. A., Lin, K., Takesh, T., & Wilder-Smith, P. (2024). Effect of a novel adaptive handle design on the ergonomic performance of periodontal curettes in dental hygienists with and without musculoskeletal disorders: A pilot clinical study. Dentistry Journal, 12(8), 253. https://doi.org/10.3390/dj12080253

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Published

2024-04-30

How to Cite

Ikbal Anggara, Zulfadlillah Zulfadlillah, Siti Nur Hamidah, & Ibrahim Abdul Sopyan. (2024). Penerapan Prinsip Ergonomi dalam Perancangan Alat Kerja untuk Meningkatkan Produktivitas dan Kesehatan Pekerja di Industri Manufaktur. JURAL RISET RUMPUN ILMU TEKNIK, 3(1), 215–222. https://doi.org/10.55606/jurritek.v3i1.4771

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