*Result*: Performance analysis and scalability assessment of online learning management system (LMS) across diverse user loads.

*This research investigates the performance and scalability of a Moodle-based Learning Management System (LMS) under varying user load conditions. Utilizing Apache JMeter, we conducted tests with user loads ranging from minimal (1 user) to extra-large (5000 users). The study unveils critical insights into the system's responsiveness, error rates, throughput, and average response times across different user scenarios. Notably, the results showcase that as user loads increase, average response times grow significantly, highlighting potential scalability concerns. Particularly in the case of 5000 users, some response times exceeded 60000 milliseconds, indicating the necessity for scalability and performance enhancements. Despite these challenges, error rates remained low, demonstrating system stability. Throughput increased with user loads, except in the 30-user scenario, emphasizing the system's potential for accommodating higher workloads. These findings emphasize the urgency of optimizing LMS for scalability to ensure responsive user experiences as user bases expand. The research provides a valuable foundation for future efforts aimed at enhancing system architecture and resource allocation to address scalability issues and sustain acceptable performance levels in demanding user environments. [ABSTRACT FROM AUTHOR]*