Journal of Computing Innovations and Emerging Technologies
Vol. 2 No. 1 (2026): Volume 2 No 1

An Analysis of the Impact of Zoom on Online Learning Using the Technology Acceptance Model

Zatin Niqotaini (Universitas Pembangunan Nasional Veteran Jakarta)
Budiman Budiman (Universitas Informatika Dan Bisnis Indonesia)
Fahreja Ramadhan (Universitas Informatika Dan Bisnis Indonesia)
Artika Arista (Universiti Malaya)
Esa Prakasa (Badan Riset dan Inovasi Nasional)
Arafat Febriandirza (Badan Riset dan Inovasi Nasional)
Nur Alamsyah (Universitas Informatika dan Bisnis Indonesia)
Rezza Novian Noor Rochmat (Institut Pertanian Bogor)
Henki Bayu Seta (Universitas Pembangunan Nasional Veteran Jakarta)



Article Info

Publish Date
05 Jun 2026

Abstract

This study aims to analyze the effect of using the ZOOM application at the University of Informatics and Business Indonesia (UNIBI) using the Technology Acceptance Model (TAM) approach, which is often used by some researchers to examine user acceptance of technology. This research is quantitative using descriptive method. The data analysis technique was carried out using SEM (Structural Equation Model) with AMOS (Analysis of Moment Structure) software. The population in this study were UNIBI students. Determination of the sample is carried out by proportional sampling, which is a proportional sampling method based on sub-populations. The results of this study prove that only 4 hypotheses are accepted from a total of 6 hypotheses proposed. The following is the percentage of the influence of each variable: a) Perceived Ease of Use (PEOU) is 28%, b) Perceived Usefulness (PU) is 74%, c) Attitude Toward Using (ATU) is 57%, d) Behavioral Intention to Use (BITU) is 65%, and e) Actual system usage (AU) is 75%. This proves that the use of the ZOOM application as an online learning medium cannot be fully explained by the Technology Acceptance Model.

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Journal Info

Abbrev

JCIET

Publisher

Subject

Computer Science & IT

Description

JCIET welcomes contributions that explore theoretical foundations, practical implementations, and innovative applications across a broad range of topics, including but not limited to: Artificial Intelligence and Machine Learning Data Science and Big Data Analytics Internet of Things (IoT) and ...