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Cloud Computing Adoption Strategy Planning at Agricultural Central Data and Information System, Ministry of Agriculture with Roadmap for Cloud Computing Adoption (ROCCA) Model

机译:农业部农业中央数据和信息系统的云计算采用策略规划,以及云计算采用(ROCCA)模式的路线图

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The goal of this study is to help Center for Agricultural Data and Information Systems (Pusdatin), Ministry of Agriculture, Republic of Indonesia, on the development of a strategy for private cloud computing adoption. Pusdatin sees cloud computing as a technological innovation opportunity that promises lower costs, provides flexibility and optimization of resource, and ease of monitoring and management of servers and applications that can become a solution for the problems and concerns faced today. However, Pusdatin is faced with questions of how to properly adopt cloud technologies in their environment and gain all those benefits. This study uses Roadmap for Cloud Computing Adoption (ROCCA) model for the adoption strategy development. ROCCA adoption model consists of 5 phases namely the analysis, planning, adoption, migration, and management. Data were gathered from an interview, direct observation, and running several discovery tools within Pusdatin's IT environment. Data then processed through each phase of ROCCA model that produces the analysis, establishment of cloud program team, criteria, cloud architecture, migration steps, timeline, and priority that forms the detailed strategy for adopting cloud computing. The results of this study are recommended strategic steps to simplify and accelerate the implementation of cloud computing technology at Pusdatin.
机译:这项研究的目的是帮助印度尼西亚共和国农业部农业数据和信息系统中心(Pusdatin)制定采用私有云计算的策略。 Pusdatin将云计算视为技术创新的机遇,它有望降低成本,提供灵活性和资源优化以及易于监视和管理服务器和应用程序,从而可以解决当今面临的问题和疑虑。但是,Pusdatin面临着如何在其环境中正确采用云技术并获得所有这些好处的问题。本研究使用云计算采用路线图(ROCCA)模型来制定采用策略。 ROCCA采用模型包括5个阶段,即分析,计划,采用,迁移和管理。数据是通过采访,直接观察以及在Pusdatin的IT环境中运行多个发现工具而收集的。然后,数据通过ROCCA模型的每个阶段进行处理,从而进行分析,云程序团队的建立,标准,云架构,迁移步骤,时间表和优先级,这些形成了采用云计算的详细策略。这项研究的结果是为简化和加快在Pusdatin实施云计算技术而建议采取的战略措施。

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