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Contact Name
Deo Renaldi Saputra
Contact Email
admin@sovereignresearch.org
Phone
+6285709683865
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admin@scriptaintelektual.com
Editorial Address
Jalan Gunung Talang Timur Nomor 45, RT 005, RW 002, Desa Bendan Duwur Kecamatan Gajah Mungkur
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Kota semarang,
Jawa tengah
INDONESIA
Technema: Journal of Intelligent Engineering and Computing
ISSN : -     EISSN : 31635997     DOI : 10.65310
Core Subject :
Technema: Journal of Intelligent Engineering and Computing is a peer-reviewed academic journal dedicated to publishing high-quality scholarly work in the fields of engineering, computer science, and emerging technologies. The journal provides an international platform for researchers, engineers, scientists, and technology practitioners to disseminate original research articles, theoretical contributions, experimental studies, system designs, and applied innovations that address contemporary challenges in intelligent systems and digital transformation. Technema welcomes manuscripts in areas such as artificial intelligence, machine learning, data science, computer engineering, software engineering, information systems, cybersecurity, robotics, automation, electrical engineering, the Internet of Things, cloud computing, embedded systems, smart infrastructure, and interdisciplinary technological innovation. All submissions undergo a rigorous double-blind peer-review process to ensure originality, technical rigor, scientific validity, and meaningful contributions to engineering and computing knowledge. Published quarterly in March, June, September, and December, Technema aims to foster global technological dialogue, promote cutting-edge research, and strengthen the role of intelligent engineering and computing solutions in advancing industry, infrastructure, and digital society at local, national, and international levels.
Arjuna Subject : -
Articles 71 Documents
Measuring Mental Workload Among Employees In The Furniture Industry Using The Nasa-Tlx Method Dian Eko Hari Purnomo; Yessi Nasia Ulfia; Yogi Akbar Sunardiansyah; YunHaoChuang; Kongkon Bordoloi
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Mental workload represents an important ergonomic factor in furniture manufacturing because employees perform tasks involving cognitive concentration, physical effort, time pressure, quality control, and production targets. This study aimed to measure mental workload among employees in the furniture industry using the National Aeronautics and Space Administration Task Load Index (NASA-TLX). A quantitative descriptive approach was applied, and workload was evaluated through six dimensions: mental demand, physical demand, temporal demand, performance, effort, and frustration. The NASA-TLX procedure involved pairwise weighting and rating of each dimension to determine the relative contribution of individual workload components and the overall workload score. The analytical framework emphasized the importance of interpreting aggregate workload together with dominant dimensions because similar total scores may arise from different occupational demands. The findings provide a basis for identifying work-system conditions requiring ergonomic improvement, including task complexity, physical exertion, production pacing, work organization, and psychological strain. The study demonstrates that NASA-TLX can support systematic evaluation of employee workload and provide practical information for improving ergonomic conditions, work allocation, operational efficiency, and occupational safety in furniture manufacturing environments.