Analysis of Massive Open Online Course Zonainformatika.com Using Technology Acceptance Model

Authors

  • Suryo Atmojo Program Studi Teknik Informatika, Fakultas Teknik, Universitas Wijaya Putra, Surabaya, 60197, Indonesia
  • Suzana Dewi Program Studi Teknik Informatika, Fakultas Teknik, Universitas Wijaya Putra, Surabaya, 60197, Indonesia
  • Nurwahyudi Widhiyanta Program Studi Teknik Informatika, Fakultas Teknik, Universitas Wijaya Putra, Surabaya, 60197, Indonesia
  • Laily Alfina Wulansari Program Studi Teknik Informatika, Fakultas Teknik, Universitas Wijaya Putra, Surabaya, 60197, Indonesia
  • Ruli Utami Program Studi Sistem Informasi, ITATS, Surabaya, 60117, Indonesia

DOI:

https://doi.org/10.32815/jitika.v19i1.1110

Keywords:

MOOC, TAM, Course, Technology, Analysis

Abstract

This analysis aims to evaluate user acceptance of the massive open online course application zonainformatika.com using the technology acceptance model. The study involves 125 registered users and 48 available course roadmaps. The implementation method includes collecting user statistical data, such as roadmap completion rates and user satisfaction levels. The applied analytical method is descriptive analysis to understand usage patterns and user satisfaction levels. The research findings reveal that 65% of users have successfully completed at least one roadmap, with an average study session duration of 45 minutes. Additionally, 88% of users reported feeling satisfied or very satisfied with the platform. These findings indicate that the massive open online course application is well-accepted by users, as evidenced by the high course completion rates and reported satisfaction. This analysis provides valuable insights for application developers to enhance features and services to improve the user learning experience.

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Additional Files

Published

01-03-2025

How to Cite

Atmojo, S., Dewi, S., Widhiyanta, N., Wulansari, L. A., & Utami, R. (2025). Analysis of Massive Open Online Course Zonainformatika.com Using Technology Acceptance Model. Jurnal Ilmiah Teknologi Informasi Asia, 19(1), 18–23. https://doi.org/10.32815/jitika.v19i1.1110