STUDENTS PERCEPTIONS OF CLOUD-BASED JUPYTERHUB IN COMPUTATIONAL PHYSICS LECTURE Bodi Gunawan
Universitas Bengkulu
Abstract
The present study evaluates the usability and acceptance of a locally deployed JupyterHub platform among 75 pre-service physics teachers in an Introduction to Computational Physics course at an Indonesian university. The system was hosted on a single workstation (AMD Ryzen 5, 16 GB RAM) to simulate an affordable cloud-like environment. The researchers employed the System Usability Scale (SUS) and the Technology Acceptance Model (TAM) to collect data following a three-week intervention. The results of the study indicate that the system demonstrates commendable usability, with an average System Usability Scale (SUS) score of 74.2. The students reported high levels of perceived usefulness (M = 4.32) and ease of use (M = 4.20), and a strong positive correlation was identified between the two (r = 0.71, p < 0.001). The findings indicate that the Merdeka Belajaar Kampus Merdeka (MBKM) policy of Indonesia can effectively support digital literacy objectives through the implementation of cost-effective, on-premises JupyterHub deployments. For institutions facing limitations in resources, this approach offers a viable and extensible strategy for delivering computational education.
Keywords: JupyterHub- cloud computing- computational physics- Technology Acceptance Model- physics education- local cloudubmit This Sample Abstract
