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All Journal Jurnal Sistem Teknik Industri Logistic and Operation Management Research
Niken Kristin Silitonga
Universitas Sumatera Utara
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Combination of Kansei Engineering and Ergonomic Function Deployment (EFD) in Designing Ergonomic Products: A Review Study Niken Kristin Silitonga; Anizar; Rosnani Ginting
Jurnal Sistem Teknik Industri Vol. 28 No. 2 (2026): JSTI Volume 28 Number 2 April 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i2.25071

Abstract

Industrial competition encourages product development to focus not only on functionality but also on user satisfaction, comfort, and safety. The integration of Kansei Engineering (KE) and Ergonomic Function Deployment (EFD) has attracted significant attention in ergonomic product design research, as it enables the systematic translation of users’ emotional needs into technical specifications. This article presents a literature review study that examines the application and integration of KE and EFD methods in ergonomic product design. The review is based on an analysis of national and international scientific journals addressing ergonomics, Kansei Engineering, and Ergonomic Function Deployment. The results indicate that the integration of KE and EFD effectively improves user comfort, safety, and satisfaction, while reducing the risk of musculoskeletal disorders and enhancing work productivity. Successful implementation is influenced by accurate identification of user requirements, the use of anthropometric data, ergonomic assessment tools, and close collaboration between designers and users. Furthermore, several studies highlight the importance of sustainable design by considering efficiency, occupational health, and product competitiveness. Overall, this review provides a comprehensive understanding of the potential and benefits of integrating Kansei Engineering and Ergonomic Function Deployment in ergonomic product design and offers a foundation for further research and practical implementation across various industrial sectors.
Optimization of Work Posture at PT. XYZ: Analysis of the Rapid Entire Body Assessment (REBA) Method to Improve Health and Productivity Nismah Panjaitan; Niken Kristin Silitonga; Juni Arta Lubis; Muhammad Zaky Faris
Logistic and Operation Management Research (LOMR) Vol. 3 No. 2 (2024): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v3i2.2773

Abstract

The study at PT. Fenyen Agro Lestari identified poor work postures that affect worker health and productivity. Using the REBA method, the boiler department had the highest risk (score 11), followed by the maintenance (score 6) and Laboratory (score 4). Immediate ergonomic improvements are recommended to reduce musculoskeletal disorders (MSDs).  The purpose of this research is to analyze the impact of poor working posture on workers' musculoskeletal health in various departments of PT. Fenyen Agro Lestari, Indonesia and recommend ergonomic improvements to reduce the risk of MSDs. The methodology involves REBA for postural assessment, collecting musculoskeletal complaints via questionnaires, and analyzing data to recommend ergonomic improvements. The findings revealed that poor postures cause significant musculoskeletal disorders, especially in the Boiler department, highlighting the need for ergonomic improvements. This study is novel in that it applies the Rapid Entire Body Assessment (REBA) method to a specific context within PT. Fenyen Agro Lestari, provides tailored ergonomic recommendations for multiple departments and addresses gaps in existing research on posture-related musculoskeletal disorders in the industry. The study’s limitations include a focus on only three departments, potential observer bias, and reliance on subjective questionnaire data, which may not fully capture all musculoskeletal issues or account for variations in individual worker experiences.
Co-Authors Anizar Juni Arta Lubis Muhammad Zaky Faris Nismah Panjaitan Rosnani Ginting