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Journal : International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)

Cloud Computing Development of PT Divistant Teknologi Indonesia CRM System Using Microsoft Azure Muttaqin, Husni Rofiq; Setiyadi, Angga
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 5 No. 2 (2024): INJIISCOM: VOLUME 5, ISSUE 2, DECEMBER 2024
Publisher : Universitas Komputer Indonesia

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Abstract

Cloud computing technology offers modern solutions by providing integrated virtual resources, including storage and infrastructure. Based on problem identification at PT. Divistant Teknologi Indonesia, this research aims to implement cloud computing using Microsoft Azure services for the company's CRM application. The implementation includes backup and recovery integration to enhance the application's availability, security, and scalability. Research steps involve problem identification, system requirements analysis, implementation, and testing. Results show that Microsoft Azure supports backup and recovery while significantly improving performance. The case study at PT. Divistant Teknologi Indonesia demonstrates that migrating the CRM application to cloud computing meets the need for improved data availability and security, addressing issues previously encountered with shared hosting. This research positively impacts CRM performance and minimizes the risk of critical data loss, supporting smooth business operations and maintaining strong customer relationships.
Implementation of Clusters Utilizing Resources Through High-Performance Computing Mahardhika, Daffa Surya; Setiyadi, Angga
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 5 No. 2 (2024): INJIISCOM: VOLUME 5, ISSUE 2, DECEMBER 2024
Publisher : Universitas Komputer Indonesia

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Abstract

The growing data volumes due to technological advancements and digitalization challenge single computing systems in terms of scalability. These systems often struggle with increasing workloads, leading to reduced performance and processing limitations. Additionally, electronic waste (e-waste) is a rising concern, as many functional computers are underutilized, contributing to environmental issues. This study proposes the use of cluster computing and High-Performance Computing (HPC) as solutions. Cluster computing aggregates computational power across multiple nodes to enhance capacity, while HPC optimizes performance for tasks requiring extensive data processing. Through a systematic approach focused on implementing PelicanHPC, the research demonstrates that cluster computing and HPC improve scalability and performance, particularly in Virtual Machines (VMs), and promote more efficient resource management. These solutions also help reduce environmental impact and cost inefficiencies. However, tests reveal that cluster performance remains suboptimal compared to physical computers, primarily due to network and hardware limitations. Future improvements should focus on enhancing hardware, network infrastructure, and software optimization
Infrastructure as Code Development in Cloud Computing Using Terraform for The Ministry of PUPR Application Wicaksono, Firmansyah; Setiyadi, Angga
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 5 No. 2 (2024): INJIISCOM: VOLUME 5, ISSUE 2, DECEMBER 2024
Publisher : Universitas Komputer Indonesia

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Abstract

Terraform, as one of the Infrastructure as Code (IaC) tools, simplifies consistent and efficient cloud resource development using HashiCorp Configuration Language (HCL), a declarative syntax where each code block defines the resources to be provisioned. This study aims to build Google Cloud Platform services using Terraform and develop a simple web application related to the Ministry of PUPR with CRUD (Create, Read, Update, Delete) functionality, tested and monitored using the DevOps software development method. Docker is utilized as a container platform to package applications, ensuring consistent management from development to production. Additionally, CI/CD (Continuous Integration / Continuous Delivery / Deployment) pipelines are integrated to automate development processes, accelerating application deployment alongside cloud services built with Terraform. The results show that combining Terraform, CI/CD pipelines, and Docker within the Google Cloud Platform ecosystem using DevOps increases efficiency, effectiveness, speed, and consistency in managing cloud infrastructure and application deployment processes