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All Journal Media Jurnal Informatika Journal of Computer Science Advancements
Jonathan, Davy
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Computer Science & IT

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Implementasi Desain Cloud Computing Dalam Meningkatkan Pembelajaran Di Era Digital Saputra, Memed; Rufa’i, Ahmad; Najmuddin, Najmuddin; Jonathan, Davy
Media Jurnal Informatika Vol 17, No 1 (2025): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i1.5128

Abstract

Pembelajaran era digital sangat membuka kesempatan yang besar kepada seluruh pendiri lembaga pendidikan untuk selalu melakukan inovasi dalam melakukan proses pembelajarannya. Tidak ada batas waktu, ruang dan jarak untuk dapat melakukan proses pembelajaran. Pada abad ke-21 ini banyak sekali pendiri lembaga pendidikan untuk melakukan proses pembelajarannya secara online yang memanfaatkan penggunakan jaringan komputer sehingga cara belajar bisa dilakukan dengan jarak jauh, peranan teknologi cloud computing pada proses pembelajaran abad 21 ini dapat memberikan pengaruh serta manfaat yang luar biasa. Penelitian ini bertujuan dalam mengenalkan implementasi desain cloud computing dengan menggunakan cisco packet tracer sebagai tools yang di gunakan dalam membuat implementasi dan configurasinya. Berikut alat yang digunakan dalam desain cloud computing: Server, Modem DSL, Switch, Komputer User, Access Point, Laptop, Smartphone, Tablet PC dan Printer
Implementation of Cloud Computing in the Development of Distributed Computer Systems Saputra, Memed; Jonathan, Davy; Aribowo, Aribowo
Journal of Computer Science Advancements Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i2.2253

Abstract

The rapid evolution of information technology has driven a significant shift from centralized to distributed computing architectures. One of the most transformative innovations in this domain is cloud computing, which offers scalable, flexible, and cost-effective solutions for managing large-scale distributed systems. This study investigates the implementation of cloud computing in the development of distributed computer systems, focusing on its impact on performance, resource utilization, and system scalability. The objective of this research is to analyze the effectiveness of cloud-based infrastructures in supporting distributed applications and to identify best practices for optimizing system architecture within a cloud environment. A mixed-method approach was employed, combining qualitative system analysis with quantitative performance metrics derived from cloud-deployed prototypes. Various case studies across different sectors—education, healthcare, and business—were used to illustrate real-world applications. The findings reveal that cloud computing significantly enhances the operational efficiency and adaptability of distributed systems. Key improvements include dynamic resource allocation, simplified maintenance, and increased fault tolerance. In conclusion, the integration of cloud computing into distributed systems presents a robust framework for modern computing needs. It not only reduces operational complexity but also facilitates innovation by enabling seamless scalability and rapid deployment. Future research is encouraged to explore hybrid cloud models and edge computing integration to further enhance distributed system performance in latency-sensitive environments.
Co-Authors Aribowo Aribowo Najmuddin, Najmuddin Rufa’i, Ahmad Saputra, Memed