Issue |
BIO Web Conf.
Volume 167, 2025
5th International Conference on Smart and Innovative Agriculture (ICoSIA 2024)
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Article Number | 01005 | |
Number of page(s) | 6 | |
Section | Agricultural Big Data Analysis | |
DOI | https://doi.org/10.1051/bioconf/202516701005 | |
Published online | 19 March 2025 |
Usability Testing of KESAN-IDEA (Kansei Engineering-Based System for Agroindustry-Idea Generation) for Micro, Small, and Medium Enterprises
Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, 55281 Yogyakarta, Indonesia
* Corresponding author: mirwan_ushada@ugm.ac.id
Micro, Small, and Medium Enterprises (MSMEs) owners are expected to have innovative and creative characters. Kansei Engineering-based System for Agroindustry (KESAN-IDEA) technology was developed for MSME owners to generate ideas for product design. KESAN-IDEA is a variant of KESAN, which has been developed by combining Kansei engineering with the artificial intelligence approach. This study aimed to test the usability of KESAN-IDEA by connecting the user perceptions and system developers based on feedback. The usability was tested by a questionnaire using the System Usability Scale (SUS) based on Nielsen’s usability attributes. The data collection process was carried out on sampling of MSME Agroindustry in Sleman Regency. The results of the SUS score calculation were 59.08 with a grade of ‘D,’ adjective ‘OK,’ acceptable ‘Less Acceptable,’ and Net Promoter Score (NPS) ‘Passive.’ The results recommended that the cause-and-effect diagram include the user, system, procedure, and environment for continuous improvement. The results of recommendations for each attribute were formulated based on SUS scores and causal diagrams. The results concluded that KESAN-IDEA can be used and functions as intended. Several areas require further development to enhance user comfort and convenience.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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