PENERAPAN LOAD BALANCING PADA WEBSITE SMART HEALTH MENGGUNAKAN METODE IP HASH

ADLIYAH, AZZA and Heryanto, Ahmad and Hermansyah, Adi (2025) PENERAPAN LOAD BALANCING PADA WEBSITE SMART HEALTH MENGGUNAKAN METODE IP HASH. Diploma thesis, Sriwijaya University.

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Abstract

This research develops a "Load Balancing System on the Smart Health Website Using the IP Hash Method." The load balancing system is designed to evenly distribute website traffic loads, allowing Smart Health users to access the platform without interruption. The system is built using Docker containers and NGINX as the core architecture. The results of the service quality tests show significant improvement: the average response time decreased from 1828.8 ms to 1465.2 ms, the average error rate dropped from 17.67% to 14.73%, and throughput increased from 201.86 to 310.46 requests per second. Additionally, CPU usage was significantly reduced from 62.92% to 14.44% after the implementation of load balancing. This study concludes that the application of load balancing using Docker containers and NGINX with the IP Hash method enables the Smart Health website system to deliver reliable services even under high traffic conditions.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Load balancing, Smart Health, IP Hash, Docker container, NGINX
Subjects: T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.85 Network systems theory Including network analysis Cf. TS157.5+ Scheduling
T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA158.7 Computer network resources Including the Internet
Divisions: 09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: Azza Adliyah
Date Deposited: 26 Jun 2025 03:48
Last Modified: 26 Jun 2025 03:48
URI: http://repository.unsri.ac.id/id/eprint/176004

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