Perancangan Disaster Recovery Planning Pada Aplikasi Cerdik Menggunakan AWS Elastic DR

Authors

  • Wigananda Firdaus Putra Aditya UPN “Veteran” Jawa Timur
  • Jefri Abdurrozak Ismail Universitas Pembangunan Nasional “Veteran” Jawa Timur
  • Anggraini Puspita Sari Universitas Pembangunan Nasional “Veteran” Jawa Timur

DOI:

https://doi.org/10.37253/joint.v6i1.10229

Abstract

Tracer Study is a survey method to track alumni career trajectories, offering insights into workforce transition, competency application, and institutional connections. Universitas Dinamika (Undika) conducts this survey through a web-based application, Tracer Study Dinamika (Cerdik). However, its manual data backup process poses risks of data loss and service disruption. This study aims to design a Disaster Recovery Plan (DRP) using the Cold Site Disaster Recovery (Cold DR) approach for enhanced efficiency and data protection. A qualitative method involving interviews, observations, and literature reviews was employed. The resulting AWS Cloud-based DR architecture utilizes Elastic Disaster Recovery for automated data replication, ensuring up-to-date data and simplified recovery during system failures. With secure communication via VPN, Web Application Firewall (WAF) protection, and DR simulation for defining Recovery Time Objective (RTO) and Recovery Point Objective (RPO), this cost-effective solution suits applications with longer recovery tolerance.

References

H. Schomburg, Carrying Out tracer studies: Guide to anticipating and matching skills and job, vol. 6. 2016. doi: 10.2816/753132.

[2] M. Wallace and L. Webber, The Disaster Recovery Handbook, 2nd ed. AMACOM Division of American Management Association International, 2011. [Online]. Available: http://www.jstor.org/stable/j.ctt1d2qzt0

[3] S. R. Wicaksono, Prinsip Dasar Kualitas Data. Malang: CV. Seribu Bintang, 2023.

[4] B. Rochwerger et al., An Architecture for Federated Cloud Computing. 2011. doi: 10.1002/9780470940105.ch15.

[5] A. Z. Abualkishik, A. A. Alwan, and Y. Gulzar, “Disaster recovery in cloud computing systems: An overview,” Int. J. Adv. Comput. Sci. Appl., vol. 11, no. 9, pp. 702–710, 2020, doi: 10.14569/IJACSA.2020.0110984.

[6] Sugiyono, Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Alfabeta, 2021.

[7] P. D. Leedy and J. E. Ormrod, Practical research: Planning and Design (Twelfth Edition). 2021.

[8] Amazon Web Services, Application portfolio assessment guide for AWS Cloud migration. 2024. [Online]. Available: https://docs.aws.amazon.com/pdfs/prescriptive-guidance/latest/application-portfolio-assessment-guide/application-portfolio-assessment-guide.pdf#introduction

Downloads

Published

2025-03-18