Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Vol. 4 No. 1 (2024): October 2024

Analysis Of Prabumulih University Student Satisfaction with the Capcut Application Using The End User Computing Satisfaction (EUCS) Method

Reisya Kurnia (Unknown)
Nur Aini H (Unknown)
Suhartini (Unknown)



Article Info

Publish Date
15 Oct 2024

Abstract

Technology is now increasingly developing so that it can make human work easier more quickly and support creativity through various applications. One application that supports creativity is the Capcut application. This research uses the End User Computing Satisfaction (EUCS) method. This research aims to determine the satisfaction of Prabumulih University students in using the Capcut application based on the variables content, accuracy, format, ease of use, timeliness and satisfaction. The research method used is quantitative descriptive. The data collection methods used were interviews, questionnaires and literature studies. The results of this research are that for each variable, students feel very satisfied in using the Capcut application, but for several variables such as accuracy and timeliness, they have been further improved to make it more satisfying to use the Capcut application.

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Journal Info

Abbrev

JAIEA

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering

Description

The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering ...