Design optimization in 3D printing CAD learning: Integration ergonomic assessment for user comfort

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Apri Nuryanto, Pardjono, Yatin Ngadiyono, Andrian Wisnu Dewangga

2025 AIP Conference Proceedings Vol. 3354 Conference paper Cited by 0

Abstract

This study aims to optimize the integration of CAD and 3D printing learning with ergonomic assessment to enhance user comfort. The research employs a mixed-methods design, specifically an explanatory mixed-methods design, combining both quantitative and qualitative approaches. This approach seeks to leverage the strengths of measurable quantitative data alongside deep qualitative insights. The results indicate that ergonomic interventions effectively improve comfort, posture suitability, functionality, and user satisfaction of the tool. Prior to the improvements, comfort, posture suitability, and tool control scores were low, with users experiencing discomfort and difficulties in use. However, following ergonomic adjustments, comfort significantly increased, hand posture became more natural and comfortable, and both control and ease of use showed substantial improvements. User satisfaction also rose, demonstrating that design enhancements not only improved functional aspects but also the overall user experience. In conclusion, ergonomic interventions successfully addressed the initial issues and had a significant positive impact on the tool's comfort and effectiveness. The implication is that applying ergonomic principles in tool design can enhance user experience and should be considered an integral part of the product development process. © 2025 Author(s).

Affiliations

Department of Mechanical Engineering Education, Faculty of Vocational, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia