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All Journal Techno.Com: Jurnal Teknologi Informasi Teika CogITo Smart Journal Jurnal Riset Informatika Jurnal Informasi dan Teknologi Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Global South Review KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Malcom: Indonesian Journal of Machine Learning and Computer Science Jikom: Jurnal Informatika dan Komputer Servitium Smart Journal CSRID
George Morris William Tangka
Universitas Klabat
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : CSRID

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Analysis of User Satisfaction Level of Google Application Classroom Using the ECUS Method Putra, Edson Yahuda; Lahamendu, Irene Gloria; Ngangk, Stivia Yuliefri Lulij; Adam, Stenly Ibrahim; Tangka, George Morris William
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 2 (2025): Juni 2025
Publisher : LPPM Universitas Potensi Utama

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Abstract

Despite wide adoption during the COVID‑19 pandemic, Google Classroom’s long‑term acceptance in Indonesian higher education remains under‑examined. This study measures end‑user satisfaction using the five‑factor End‑User Computing Satisfaction (EUCS) framework. A cross‑sectional survey captured 247 valid responses from undergraduate students at Universitas Klabat who had used Google Classroom for at least one semester. Twenty Likert‑scaled items (4 per EUCS dimension) were adapted from Doll & Torkzadeh (1988) and checked for reliability (Cronbach’s α) and validity. Multiple‑linear regression assessed the partial effect of each EUCS factor on overall satisfaction, while descriptive statistics profiled satisfaction levels. Four dimensions—Content (β = 0.299, p < 0.001), Ease of Use (β = 0.268), Format (β = 0.182), and Timeliness (β = 0.222)—significantly predict satisfaction (Adj. R² = 0.682). Accuracy (β = 0.009, p = 0.841) is non‑significant, likely due to low internal consistency (α = 0.429). Overall, 69.6 % of respondents report being satisfied or very satisfied with Google Classroom. Content richness, intuitive interface, presentation quality, and timely feedback drive student satisfaction, whereas perceived accuracy warrants instrument refinement. Findings inform LMS developers and university decision‑makers on prioritised enhancement areas.
Co-Authors Biya, Antares Nathan Andrew Cherry Lumingkewas Chrisanti, Ibrena Reghuella Delviolin, Ellie Ophelia Djamal, Eleonora Edson Yahuda Putra Erienika Meiling Lompoliu Fanny Soewignyo Green Arther Sandag Izaac, Bryan Vallentino Jacquline Waworundeng Joe Yuan Mambu JUNIOR LAKAT Kolibu, Mario Jonatan Lahamendu, Irene Gloria Lidya Chitra Laoh Lumingkewas, Edwin Maringka, Raissa Ngangk, Stivia Yuliefri Lulij Ramadhana, Rizky Semmy Wellem Taju Sondakh, Debby Erce Stenly Ibrahim Adam Stenly Richard Pungus Tonny Irianto Soewignyo Wilsen Grivin Mokodaser