Analisis Performa Load balancing pada Web Server Menggunakan Nginx

The rapid development of information technology, particularly in the use of web-based services, has resulted in increased data traffic to servers. Without proper management, this may lead to decreased system performance. Load balancing is an approach introduced in technology education to teach technical solutions for server load management. This study aims to analyze the impact of implementing load balancing using Nginx software on web server performance. The method applied is a quantitative experiment involving two testing scenarios: before and after the implementation of load balancing using the Round Robin algorithm. The testing environment was built using virtualization with the Ubuntu Server operating system, and performance measurements were conducted using Apache Benchmark and JMeter. The analyzed parameters include latency, throughput, and response time. The findings show that implementing load balancing can significantly improve system efficiency, making it a relevant learning case in computer networking and system administration courses..

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Publication Details

Journal
Journal of Renewable Energy and Smart Device
Published
2025-06-01
DOI
https://doi.org/10.61220/joresd.v2i2.255
Primary Topic
IoT-based Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Analisis Performa Load balancing pada Web Server Menggunakan Nginx

Journal of Renewable Energy and Smart Device
IoT-based Control Systems
article

Analisis Performa Load balancing pada Web Server Menggunakan Nginx

article en

Abstract

The rapid development of information technology, particularly in the use of web-based services, has resulted in increased data traffic to servers. Without proper management, this may lead to decreased system performance. Load balancing is an approach introduced in technology education to teach technical solutions for server load management. This study aims to analyze the impact of implementing load balancing using Nginx software on web server performance. The method applied is a quantitative experiment involving two testing scenarios: before and after the implementation of load balancing using the Round Robin algorithm. The testing environment was built using virtualization with the Ubuntu Server operating system, and performance measurements were conducted using Apache Benchmark and JMeter. The analyzed parameters include latency, throughput, and response time. The findings show that implementing load balancing can significantly improve system efficiency, making it a relevant learning case in computer networking and system administration courses..

Journal of Renewable Energy and Smart Device
State University of Makassar (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
IoT-based Control Systems
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