Educloud: Development of an Integrated Digital Learning Platform Based on Cloud Computing, LMS, Artificial Intelligence, and Edupreneurship

Arafah  Husna; I Nyoman Sudana  Degeng; Punaji  Setyosari; Dedi  Kuswandi; Ahmad  Fahmi; M. Zainal  Arifin; Aripriharta Aripriharta

doi:10.29207/resti.v10i5.7843

Authors

Arafah Husna Universitas Negeri Malang
I Nyoman Sudana Degeng Universitas Negeri Malang
Punaji Setyosari Universitas Negeri Malang
Dedi Kuswandi Universitas Negeri Malang
Ahmad Fahmi Universitas Negeri Malang
M. Zainal Arifin Universitas Negeri Malang
Aripriharta Aripriharta Universitas Negeri Malang

DOI:

https://doi.org/10.29207/resti.v10i5.7843

Keywords:

artificial intelligence in education, cloud learning, educloud, edupreneurship, expert validation, LMS development, small-group testing

Abstract

This study evaluated the initial feasibility and practicality of Educloud, a cloud-based digital learning platform integrating Learning Management System functions, digital assessment, learner-progress monitoring, and an AI-supported Edupreneurship workflow. Educloud was developed using Laravel and PostgreSQL, with AI functionality provided through the Google Gemini Developer API using the gemini-2.5-flash model. The AI component processes pseudonymised learner and team profiles to generate business-idea recommendations and formative feedback. The study employed a research and development approach based on an adapted ADDIE model, involving three expert validators and ten users in a small-group trial. Functional testing assessed API connectivity, contextual-data processing, privacy protection, response validation, storage, and error handling. Expert validation produced a score of 489 out of 525 (93.14%), a mean of 4.66, and an Aiken’s V of 0.91. The small-group trial produced a score of 1,117 out of 1,250 (89.36%), a mean of 4.47, and a Cronbach’s alpha of 0.93. The findings indicate that Educloud demonstrates strong initial feasibility and practicality. Further field testing is required to evaluate the accuracy of AI-generated recommendations and their effects on learning and Edupreneurship outcomes.

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