Treffer: Implementation of clustering for high availability learning management system (LMS) of Politeknik Negeri Lampung with load balancing method.

Title:
Implementation of clustering for high availability learning management system (LMS) of Politeknik Negeri Lampung with load balancing method.
Authors:
Supriyatna, Agiska Ria1 (AUTHOR) agiskaria@polinela.ac.id, Asrowardi, Imam1 (AUTHOR) imam@polinela.ac.id, Subyantoro, Eko1 (AUTHOR) eko@polinela.ac.id, Putra, Septafiansyah Dwi1 (AUTHOR) septa@polinela.ac.id
Source:
AIP Conference Proceedings. 2026, Vol. 3228 Issue 1, p1-6. 6p.
Database:
Academic Search Index

Weitere Informationen

The Learning Management System (LMS) is a platform used by the Politeknik Negeri Lampung to assist in the management and delivery of learning materials electronically. LMS can assist in various ways such as managing learning content, arranging learning schedules, conducting evaluations and testing, recording student learning progress, and providing learning outcome reports. LMS is an important application for educational institutions, and must always be available for students and lecturers to access learning and assignment information. In its use, LMS experiences performance problems that affect access speed and user convenience. LMS downtime can affect the ability of students and lecturers to access learning information and assignments, and affect the overall quality of learning. This happens when the LMS experiences an increase in the number of users and data, which can occur during the evaluation period for the Mid-Semester Examination or the Final Semester Examination. Taking into the existing problems, implementing clustering for High Availability LMS of Politeknik Negeri Lampung with the Load Balancing method is expected to be the right solution to overcome the problem of disponibility, performance and downtime. Clustering can ensure a high level of disponibility by sharing the workload between nodes, while the load balancing technique guarantees that the workload is distributed evenly between nodes and ensures optimal performance. [ABSTRACT FROM AUTHOR]