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dc.contributor.authorWiradinata, Trianggoro
dc.contributor.authorSaputri, Theresia Ratih Dewi
dc.contributor.authorSutanto, Richard Evan
dc.contributor.authorSoekamto, Yosua Setyawan
dc.date.accessioned2023-09-26T17:45:23Z
dc.date.available2023-09-26T17:45:23Z
dc.date.issued2023
dc.identifier.issn2723-6471
dc.identifier.urihttps://dspace.uc.ac.id/handle/123456789/6666
dc.description.abstractThe garment industry, particularly the batik sector, has experienced significant growth in Indonesia, coinciding with a rise in the number ofonline consumers who purchase batik products through e-Marketplaces. The observed upward trend in growth has seemingly presented certainobstacles, particularly in relation to product alignment and product information dissemination. Typically, batik entrepreneurs originate fromMicro, Small, and Medium Enterprises ( or MSMEs) that have not adhered to the global norms. As a consequence, there may be discrepanciesin the sizes of batik products available for purchase. The issue of size discrepancies poses a source of discontent among online consumersseeking to purchase batik products via the e-Marketplace platform. This predicament also directly affects batik vendors, as they are compelledto resend batik items that align with the desired size specifications. An effective approach to address this issue involves employing asmartphone camera to anticipate body proportions, specifically the length and width of those engaged in online shopping. Subsequently, by theutilization of machine learning techniques, the optimal batik size can be determined. The UKURIN feature was created as a response to aspecific requirement. However, it is essential to establish a methodology for investigating the elements that impact the intention to use thisfeature. This will enable developers to prioritize their feature development strategies more effectively. A total of 179 participants completed anonline questionnaire, and subsequent analysis was conducted utilizing the Extended Technology Acceptance Model framework. All hypothesesutilized in this study were confirmed, with the exception of the hypothesis pertaining to Computer Self Efficacy, which did not demonstrate astatistically significant effect on Ease of Use Perception. The findings indicate that Usefulness Perception emerged as the most influentialfactor. Consequently, when designing and developing the novelty feature of UKURIN, it is imperative for designers and application developersto prioritize the benefits aspect.en_US
dc.publisherJournal of Applied Data Sciencesen_US
dc.subjectBatiken_US
dc.subjectComputer Visionen_US
dc.subjectTechnology Acceptance Modelen_US
dc.subjectSocial Influenceen_US
dc.subjectComputer Self Efficacyen_US
dc.subjectTechnological Facilityen_US
dc.titleOnline Measuring Feature for Batik Size Prediction using Mobile Device: A Potential Application for a Novelty Technologyen_US
dc.typeArticleen_US


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