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All Journal RESWARA: Jurnal Riset Ilmu Teknik
Sarah Awallia
Teknik Industri, Universitas Pelita Bangsa, Cikarang, Bekasi, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Evaluasi Beban Kerja Mental Operator Assembly Line OPP Window Menggunakan Metode NASA-TLX di Industri Elektronik Sarah Awallia; Muhamad Engkos Kosim; Rini Siskayanti
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 3 (2026): RESWARA: Jurnal Riset Ilmu Teknik, July 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i3.625

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.
Co-Authors Muhamad Engkos Kosim Rini Siskayanti