Network performance analysis on different ISP using online class platform on different devices / Danial Mohd Azman

The ubiquity of online education underscores the critical importance of reliable and efficient network performance in facilitating seamless learning experiences for students. This project delves into the realm of Internet Service Provider (ISP) performance analysis within the context of online education, focusing on the evaluation of latency, packet loss, and jitter across multiple ISPs using the Google Meet online platform. Leveraging PingPlotter as a monitoring tool, network performance metrics were systematically assessed over a period of five days, encompassing various time intervals reflective of peak usage periods. The project's methodology involved conducting tests across different devices, including laptops and smartphones, to capture diverse network environments and user experiences. Findings revealed significant variations in ISP performance, with implications for network reliability and quality of service in online education settings. The project concludes with recommendations for future research endeavours aimed at enhancing network infrastructure and optimizing online learning environments. Through its systematic approach and empirical insights, this project contributes to the ongoing discourse on ISP performance analysis and its impact on digital education.