Analysis and Design of User Interface for Attendance Data Processing Application Using ChatGPT 4.0
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Abstract
Recently, the use of ChatGPT in software engineering has become increasingly popular, particularly in code development. The utilization of ChatGPT can significantly save time and costs if implemented effectively. This study aims to explore the capabilities of ChatGPT in various aspects of software engineering, specifically in requirements analysis, activity diagram creation, use case modeling, class diagram development, system architecture design, and user interface design for a fingerprint attendance data processing application. The research results are examined using content analysis methods based on primary data generated by ChatGPT. From this study, it can be concluded that ChatGPT has certain limitations in some stages of software engineering. User intervention is required to validate, supplement, and revise errors in the generated responses.
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References
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https://doi.org/10.1145/3593434.3593468
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