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Reliable and high-performance Internet access is essential to support practical activities in the IBN Lampung Computer Laboratory. Dependence on a single ISP often leads to connection disruptions, reduced service quality, and interruptions in the learning process. This study aims to design and implement a Mikrotik-based load balancing system to improve Internet performance by utilizing two ISP links and providing an automatic failover mechanism when one link becomes unavailable. The research employs the Network Development Life Cycle (NDLC) approach, which includes network requirement analysis, multi-WAN topology design, implementation of load balancing and failover configurations on Mikrotik, and performance testing. The results show that the load balancing system successfully distributes traffic more evenly, enhances connection stability, and provides more consistent Internet speed. Additionally, the failover mechanism works effectively and ensures service continuity when an ISP experiences downtime. In conclusion, the implementation of a Mikrotik-based load balancing system effectively improves Internet access quality and supports smoother laboratory activities.

Implementation of Distance Learning (PJJ) is effective in the teaching and learning process during the pandemic. This is supported by Unisbank students in mastering information technology. PJJ technology, also known as e-learning, is a bridge between lecturers and students in the process of meeting in class into a meeting process in cyberspace. E-learning becomes ineffective when the demand for e-learning usage is high, causing server overload or crashes. When the e-learning server is overloaded, all parts that are usually connected and interrelated, such as lecturers, students, administration and others, become disconnected. The importance of monitoring the e-learning server to keep the e-learning load under control, and the server that has a lot of load will be divided so that e-learning will run smoothly and not be overloaded. Monitoring the Elearning server with the Least Connection method is applied to the Unisbank e-learning server and makes e-learning not overloaded. The results of the load balancer workload test with 1000 connections, the resulting response time is 0.2 ms, the workload is 5000 connections, the response time is 0.2 ms and the workload is 10,000 connections, the resulting reply time is 0.2 ms.