Usability Scale System Method on Convogenius Platform for MSME Business Optimization

Authors

  • Syaiful Imanudin STMIK IKMI Cirebon
  • Rudi Kurniawan STMIK IKMI Cirebon
  • Umi Hayati STMIK IKMI Cirebon

DOI:

https://doi.org/10.59934/jaiea.v4i2.810

Keywords:

Usability Scale System, System Usability Scale (SUS), Convogenius Platform, MSME Optimization, Business Optimization, User Experience Evaluation, Platform Usability

Abstract

  Usability is a critical factor in the successful adoption of technology, particularly for AI-based platforms designed to support micro, small, and medium enterprises (MSMEs). Convogenius AI is developed to assist MSME operations, yet its effectiveness and user-friendliness must be evaluated. This study aims to assess the usability of the Convogenius AI platform using the System Usability Scale (SUS) method and identify areas requiring improvement. The research employs a SUS survey to measure aspects such as ease of use, functional integration, and the need for technical support. The findings reveal favorable SUS scores for ease of use (average 3.04) and user intention to repeatedly use the platform (average 3.05). However, deficiencies are noted in system complexity (average 2.96) and technical support requirements (average 2.95). Overall, Convogenius AI is accepted by MSME users but requires enhancements in interface design and consistency to improve user experience. These improvements can potentially increase user satisfaction and support the operational efficiency of MSMEs.

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Published

2025-02-15

How to Cite

Syaiful Imanudin, Rudi Kurniawan, & Umi Hayati. (2025). Usability Scale System Method on Convogenius Platform for MSME Business Optimization. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 4(2), 1060–1063. https://doi.org/10.59934/jaiea.v4i2.810