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p-Index From 2021 - 2026
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All Journal Didakta: International Journal of Social Sciences, Language, and Education Technema: Journal of Intelligent Engineering and Computing
Kongkon Bordoloi
Majuli College

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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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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.
A Bounded Bibliometric Profile of Artificial Intelligence Education Research Kongkon Bordoloi; Muhammad Yani; Moh. Imron Rosidi; Teofilus Ardian Hopeman; Muhammad Talha Zubair Yaqub; Methmal H.K.R.
International Journal of Social Sciences, Language, and Education Vol. 1 No. 2 (2026): : April: Didakta: International Journal of Social Sciences, Language, and Educa
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/74crjk87

Abstract

Bibliometric profiles based on relevance-ranked searches may conflate patterns of research publication with patterns of record retrieval. This study examined the descriptive characteristics and interpretive limits of a bounded Crossref corpus on artificial intelligence in education. On 17 September 2026, the first 100 records returned for the query artificial intelligence education, restricted to journal articles published during 2016–2025, were obtained. Records were assessed in retrieval order, and the first 30 with an author field and the complete phrase artificial intelligence in their titles, excluding editorial or corrective items, formed the analytical corpus. Publication year, journal, authorship, Crossref citation counts, and seven non-exclusive title dictionaries were analysed descriptively. Twenty-six records (86.7%) were published in Computers and Education: Artificial Intelligence and four (13.3%) in the International Journal of Artificial Intelligence in Education; 25 appeared during 2022–2025. School-related terms occurred in eight titles, teacher-related terms in five, and ethics-related terms in two. Median authorship was two, and the median recorded citation count was 100. These distributions reflect a fixed search and stopping rule, not population-wide publication frequencies. The study demonstrates how transparent metadata analysis can identify observable patterns while exposing the inferential constraints introduced by search formulation, ranked retrieval, and restrictive eligibility criteria.  
Co-Authors Eko Hari Purnomo Hopeman, Teofilus Ardian Methmal H.K.R. Moh. Imron Rosidi Muhammad Talha Zubair Yaqub Muhammad Yani Yessi Nasia Ulfia Yogi Akbar Sunardiansyah YunHaoChuang