Evaluasi Beban Kerja Mental Operator Assembly Line OPP Window Menggunakan Metode NASA-TLX di Industri Elektronik

Sarah Awallia; Muhamad Engkos Kosim; Rini  Siskayanti

doi:10.70716/reswara.v4i3.625

Authors

Sarah Awallia Teknik Industri, Universitas Pelita Bangsa, Cikarang, Bekasi, Indonesia Author
Muhamad Engkos Kosim Teknik Industri, Universitas Pelita Bangsa, Cikarang, Bekasi, Indonesia Author
Rini Siskayanti Teknik Industri, Universitas Pelita Bangsa, Cikarang, Bekasi, Indonesia Author

DOI:

https://doi.org/10.70716/reswara.v4i3.625

Keywords:

workload, NASA-TLX, assembly operator

Abstract

Human resources play an important role in achieving organizational productivity and production targets. PT XYZ is an electronics manufacturing company producing Air Conditioners (ACs) and Dehumidifiers. In the assembly process, operators perform manual tasks assisted by a conveyor system, requiring high speed and accuracy to meet a production target of 400 units per hour. These conditions may increase operators' mental workload. This study aimed to determine the level of mental workload and identify its dominant dimensions among operators in the OPP Window Group 2 assembly line at PT XYZ. The study employed the National Aeronautics and Space Administration Task Load Index (NASA-TLX) method involving 29 operators. Data were analyzed using NASA-TLX, reliability testing, and Pareto analysis. The reliability test produced a Cronbach's Alpha value of 0.797, indicating that the instrument was reliable. The average NASA-TLX score was 80.69, indicating a very high mental workload. Seventeen operators were classified as very high, nine as high, and three as moderately high. Pareto analysis identified Own Performance, Effort, Temporal Demand, Physical Demand, and Frustration Level as the dominant dimensions, contributing 86.35% cumulatively. The findings indicate that assembly operators experience a very high mental workload, mainly influenced by performance pressure, work effort, time pressure, physical demands, and frustration.

References

Ahmad, Z., & Sunardi. (2021). Analisis beban kerja operator bagian produksi dengan metode NASA-TLX di PT XYZ. The Higher Education Press, 69–76.

Andriani, M., Hidayat, A., & Rahman, M. (2022). Analysis of mental workload using the NASA-TLX method for production workers at PT Dolomites. Jurnal Ilmiah Jurutera. https://doi.org/10.55377/jurutera.v9i02.6635

Devri, A. N., & Putra, B. I. (2026). Analisis beban kerja fisik dan mental dengan menggunakan metode CVL dan NASA-TLX pada karyawan. Jurnal Teknologi dan Manajemen Ilmu Terapan, 5(2), 672–688. https://doi.org/10.55826/jtmit.v5i2.1545

Forester, B. J., Idris, A., Khater, A., Afgani, M. W., & Isnaini, M. (2024). Penelitian kuantitatif: Uji reliabilitas (Quantitative research: Data reliability test). Edu Society: Jurnal Pendidikan, Ilmu Sosial, dan Pengabdian kepada Masyarakat, 4(3), 1812–1820. https://doi.org/10.56832/edu.v4i3.577

Handoyo, H., & Maharani, D. (2020). Workload identification using the National Aeronautics and Space Administration Task Load Index (NASA-TLX) method of rolling mill operators in the production department at PT Jaya Pari Steel Surabaya. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1899/1/012083

Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In P. A. Hancock & N. Meshkati (Eds.), Human mental workload (pp. 139–183). Elsevier.

Iman, N., Firmansyah, N. A., & Himayati, A. I. (2025). Evaluation of mental workload using the NASA Task Load Index (NASA-TLX) method on production department employees. Sainteks: Jurnal Sain dan Teknik, 7(1), 12–22.

Lestari, D. A., & Karim, A. A. (2025). Analisis beban kerja mental dengan menggunakan metode NASA-TLX pada pekerja di PT CPS. Journal of Industrial Innovation and Safety Engineering, 2(1).

Masniar, Histriarini, A. R., & Pangestu, D. A. B. (2022). Analisa beban kerja mental menggunakan metode NASA-TLX pada bagian operator. Metode: Jurnal Teknik Industri, 8(1), 11–20. https://doi.org/10.33506/mt.v8i1.1695

Maulina, D., & Krismadies. (2024). The relationship of mental workload and job stress in. Syntax Idea, 6(7). https://doi.org/10.46799/syntax-idea.v6i7.3981

Nur, I., Iskandar, H., & Rf, A. (2020). The measurement of nurses' mental workload using NASA-TLX method: A case study. Malahayati Journal of Public Health Medicine, 20(Special Issue 1), 60–63. https://doi.org/10.37268/mjphm/vol.20/no.Special1/art.705

Permana, E., Mediawati, A. S., & Maulana, I. (2020). Beban kerja mental, fisik, dan waktu perawat di Poli RSUD dr. Slamet Garut. Jurnal Kesehatan Kusuma Husada, 161–168. https://doi.org/10.34035/jk.v11i2.441

Rahdiana, N., Hakim, A., & Arifin, R. (2021). Pengukuran beban kerja mental bagian marketing PT Pindo Deli di masa COVID-19 dengan metode NASA-TLX. Jurnal Sistem Teknik Industri, 23(1), 9–21. https://doi.org/10.32734/jsti.v23i1.4873

Pradhana, R. R., & Prastawa, H. (2022). Analisis beban kerja mental operator pemotongan kayu pada bagian produksi Perum Perhutani Brumbung dengan metode NASA-TLX.

Pramesti, A., & Suhendar, E. (2021). Analisis beban kerja menggunakan metode NASA-TLX. Satuan Tulisan Riset dan Inovasi Teknologi, 5(3), 229–235. https://doi.org/10.30998/string.v5i3.6528

Rahdiana, N., Arifin, R., & Hakim, A. (2021). Pengukuran beban kerja mental di bagian perawatan di PT XYZ menggunakan metode NASA-TLX. Jurnal Teknik Sistem dan Industri, 2(1), 1–11. https://doi.org/10.35261/gijtsi.v2i01.5076

Rishelin, N., Elviana, R., Zahrina, N., Putri, G. R., & Sari, A. R. (2025). Assessment of mental workload among consumer packaging operators in palm oil mills using NASA-TLX. JUTIN: Jurnal Teknik Industri Terintegrasi, 8(4), 1–7. https://doi.org/10.31004/jutin.v8i4.50607

Sugarindra, M., Suryoputro, M. R., & Permana, A. I. (2017). Mental workload measurement in operator control room using NASA-TLX. IOP Conference Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899X/277/1/012022

Widyastuti, L., & Pramono, T. D. (2023). Analisis beban kerja mental pada pekerja kantor. Applied Business and Administration Journal (ABAJ), 3(2), 33–47. https://doi.org/10.62201/abaj.v3i02.348

Wu, Y., Zhang, Y., & Zheng, B. (2024). Workload assessment of operators: Correlation between NASA-TLX and pupillary responses. Applied Sciences. https://doi.org/10.3390/app142411975