PEMANFAATAN CLOUD COMPUTING UNTUK MENINGKATKAN SKALABILITAS SISTEM INFORMASI
DOI:
https://doi.org/10.23969/jp.v11i03.61116Keywords:
Cloud computing, Scalability, Information Systems, Elasticity, EfficiencyAbstract
The utilization of cloud computing has become a crucial strategy for modern organizations to enhance information system scalability amidst a dynamic business environment. This study aims to analyze the effectiveness of cloud architecture in handling workload spikes flexibly and efficiently. Through a systematic literature review method, this study evaluates various technical mechanisms such as auto-scaling, resource pooling, and distributed computing offered by cloud service providers. The findings demonstrate that cloud technology adoption not only provides high operational flexibility through real-time resource elasticity but also offers significant financial advantages through pay-as-you-go economic models. Furthermore, the integration of distributed architectures is proven to improve the availability and resilience of information systems against potential technical failures and increasingly complex cyber threats. This analysis reveals that successful cloud implementation heavily relies on the precision of scalability policy configurations and well-planned cost management strategies. In conclusion, investment in cloud-based infrastructure is a strategic decision that enables companies to maintain optimal system performance despite facing massive data growth demands. The results of this study provide practical guidance for decision-makers and IT practitioners in optimizing digital infrastructure to support sustainable and competitive business continuity. With a structured approach, this research serves as a valid reference for the development of future information systems that are more resilient, efficient, and responsive to the rapidly evolving global market needs.
Downloads
References
Anderson, L. (2023). Scalability challenges in hybrid cloud models. Journal of Enterprise Architecture, 7(2), 115–130. https://doi.org/10.1017/jea.2023.04
Chen, Y. (2022). Performance evaluation of cloud-based database systems. International Journal of Databases, 19(4), 89–104. https://doi.org/10.1007/s00778-022-00654-x
Davis, M. (2024). Edge computing integration for low-latency scalability. Network Research Quarterly, 15(3), 200–214. https://doi.org/10.1109/net.2024.89887
Gupta, K. (2021). Managing multi-cloud environments for business continuity. IT Governance Journal, 5(1), 34–48. https://doi.org/10.1080/itgj.2021.01123
Hidayat, R. (2021). Cloud computing architecture for scalable information systems. Journal of Information Technology Systems, 15(2), 112–125. https://doi.org/10.1016/j.jits.2021.05.003
Hidayat, R., Santoso, B., & Wijaya, A. (2021). Resource management in multi-tenant cloud environments. International Journal of Cloud computing, 9(1), 45–58. https://doi.org/10.1504/IJCC.2021.115432
Johnson, T. (2023). Container orchestration and its impact on system scalability. Cloud Native Systems Journal, 9(2), 77–92. https://doi.org/10.1007/s41019-023-00214-w
Lee, S. (2025). Economic impacts of cloud adoption on SMEs. Journal of Digital Economy, 12(1), 101–118. https://doi.org/10.1016/j.jde.2025.02.007
Martinez, G. (2022). Automating disaster recovery in public cloud platforms. Journal of Reliability, 13(3), 250–265. https://doi.org/10.1016/j.rel.2022.09.004
Nugroho, S. (2023). Future trends in serverless computing and distributed architectures. Tech Innovations Review, 8(3), 201–215. https://doi.org/10.1007/s11227-023-05123-x
Pratama, D. (2022). Auto-scaling strategies for high-performance web applications. Journal of Software Engineering, 12(4), 330–345. https://doi.org/10.1016/j.jse.2022.02.008
Pratama, D., & Wijaya, A. (2023). Cloud cost optimization through FinOps practices. Financial Technology Journal, 6(2), 88–102. https://doi.org/10.1080/ftj.2023.1890332
Putri, A., & Nugroho, S. (2022). Security architecture for scalable cloud infrastructure. International Journal of Information Security, 14(1), 12–28. https://doi.org/10.1007/s10207-022-00589-w
Ramadhan, F. (2024). Agile infrastructure: The role of microservices in cloud scaling. Software Architecture Quarterly, 21(2), 150–165. https://doi.org/10.1109/ms.2024.332110
Roberts, H. (2024). Advancements in auto-scaling algorithms for dynamic workloads. Computing Research Review, 18(2), 133–149. https://doi.org/10.1007/s11227-024-06102-w
Santoso, B. (2022). Transforming business operations with cloud elasticity. Digital Business Review, 19(3), 400–415. https://doi.org/10.1016/j.dbr.2022.04.009
Susanto, E. (2025). Predictive scaling in cloud computing using artificial intelligence. Artificial Intelligence in Industry, 11(1), 55–70. https://doi.org/10.1016/j.aiin.2025.01.005
Thompson, J. (2021). Cloud-native design patterns for global scalability. Software Engineering Perspectives, 11(4), 560–575. https://doi.org/10.1016/j.sep.2021.11.002
Wijaya, A., Pratama, D., & Hidayat, R. (2024). Resilience and availability in distributed cloud systems. Computing Systems Journal, 22(1), 10–25. https://doi.org/10.1109/csj.2024.102345
Williams, R. (2023). The future of green cloud computing and energy efficiency. Journal of Sustainable Technology, 4(1), 22–38. https://doi.org/10.1016/j.jst.2023.03.006
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Pendas : Jurnal Ilmiah Pendidikan Dasar
This work is licensed under a Creative Commons Attribution 4.0 International License.
