Desain dan Analisis Artificial Exoskeleton pada Prajurit TNI

  Author(s)
Rudi Salam    (Universitas Syiah Kuala)
Mohammad Iqbal (Universitas Syiah Kuala)
Iskandar Hasanuddin (Universitas Syiah Kuala)

 ) Corresponding Author
Copyright (c) 2018 Rudi Salam
  Abstract

Soldier’s activities resulted in too much workload received by the body, especially in the back and waist. These conditions produce a high risk of musculoskeletal disorders especially if conducted continuously. The soldiers must carry a backpack containing supplies during training weighing up to 40 kg on average. All activities are conducted manually until the training is finish. Thus, the purposes of this study are to reduce spinal injury by identifying factors resulting from lifting loads that exceed the limits of the body, calculate the maximum load limit that can be carried by a soldier, and produce artificial exoskeleton as a tool for the Indonesian Armed Forces. The study used anthropometry, biomechanics, and physiological approach in solving the problem. The results show that the safe load can be carried by the soldiers is 30.46 kg. The body parts that feel the complaint are the upper neck, back, shoulder, buttocks. In addition, this study can produce a design of an artificial exoskeleton with the following dimensions: chest thickness 23 cm, chest width 32 cm, back length 52 cm. The soldiers can increase the force load by 9% of the initial weight of the load using this design.

  Keywords
Artificial exoskeleton; biomekanika; desain; Tentara Nasional Indonesia
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  References

[1] A. Sembiring. “Wawancara Subjek”. Kesdam Iskandar Muda, Banda Aceh, 2017.

[2] D. Paula, “The influence of load imposed by the backpack school in children and teens in Brazil”. Procedia Manufactur., vol. 3, pp. 5350-5357.

[3] Helmi, Buku Ajar Gangguan Muskuloskeletal. Jakarta: Salemba Medika, pp. 56-75, 2011.

[4] Hallo Sehat, “Mengenal Levoscoliosis, Kelainan Tulang Belakang yang ”. diakses 16 Januari 2018 https://hellosehat.com/?s=Penyakit+Tulang+Belakang/, 2018.

[5] M. Zare, J. Bodin, E. Cercier, R. Brunet, Y. Roquelaure. “Evaluation of ergonomic approach and musculoskeletal disorders in two different organizations in a truck assembly plant”. Int. J. Ind. Ergon., vol. 50, pp. 34–42, 2015, https://doi.org/10.1016/j.ergon.2015.09.009.

[6] N.M Nur, S.Z. Dawal, M. Dahari. “The Prevalence of Work Related Musculoskeletal Disorders Among Workers Performing Industrial Repetitive Tasks in the Automotive Manufacturing Companies”. In: Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management, Bali, Indonesia, January 7–9, 2014, 2014, pp. 1–8.

[7] I. Mavis, A.A. Rahman, S.B.H.M Tamrin. “Ergonomics Risks Reduction: In Osh Certified and Uncertifiedautomotive Parts Manufacturing Industry Workers”. Middle-East J. Sci. Res., vol. 22, no. 9, pp. 1272–1280, 2014.

[8] Ismaila, “Safe Backpack Weight Limit for Secondary School Student in Ibadan”, Southwestern Nigeria. Alexandria Eng. J. (in press), pp. 2-7, 2017.

[9] S.A. Ferguson, W.S Marras, S.A Lavender, R.E Splittstoesser, and G. Yang, “Are Workers Who Leave a Job Exposed to Similar Physical Demands as Workers Who Develop Clinically Meaningful Declines in Low-Back Function?”, Hum. Factors J. Hum. Factors Ergon. Soc., vol. 56, no. 1, pp. 56-72, 2014, https://doi.org/10.1177/0018720813493116.

[10] W. Yu, T.S. Ignatius, Z. Li, X. Wang, T. Sun, H. Lin, et al. “Work-related injuries and musculoskeletal disorders among factory workers in a major city of China”. Accid. Anal. Prev., vol. 48, pp. 457–463, 2016, https://doi.org/10.1016/j.aap.2012.03.001.

[11] S.A. Lavender and W.S Marras, “The use of turnover rate as a passive surveillance indicator for potential low back disorders”. Ergonomics, vol. 37, no. 6, pp. 971–978, 1994, https://doi.org/10.1080/00140139408963710.

[12] R.A. Aziz, M.A.T. Rebi, A. Rani, J.M. Rohani. “Work-related Musculoskeletal Disorders among Assembly Workers in Malaysia”. J. Occup. Saf. Heal., vol. 11, no. 1, pp. 33–38, 2014.

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