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Project Management System Development for Improving Infinitigroup Project Performance

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Published:25 November 2020Publication History

ABSTRACT

Lateness in the initiation and closing of the project will affect the success of the project. Besides, the unorganized process flow of the project could lead to a loss to the company. The Project ManagementA system has become crucial nowadays. According to initial observation, the project was often not in track timeline even behind schedule, lateness in the initiation, executed, and control in the project caused wasting time compared to the targetdate. INFINITIGROUP tries to implement a proper project management system into their standard SOP to minimize the lateness and the loss of the project. The process of collecting data is through an interview with the team project and project stakeholders as well as collecting data from the previous project timeline. Also, to join in the current plan to experience the actual project. This research aims to develop a project management system based on Project schedule management. The methodology that is used to create a web-based application as a platform to support the project management is the waterfall methodology. The methodology consists of five sequential phases to support the research that includes analysis, design, implementation, testing, and maintenance. The result of this research is that the system application has worked well and meeting all the requirements to support the company in handling the project to be more productive and efficient. This research will further as a consideration to the company on making guidelines and project management systems.

References

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  1. Project Management System Development for Improving Infinitigroup Project Performance

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    • Published in

      cover image ACM Other conferences
      ICONETSI '20: Proceedings of the 2020 International Conference on Engineering and Information Technology for Sustainable Industry
      September 2020
      466 pages
      ISBN:9781450387712
      DOI:10.1145/3429789

      Copyright © 2020 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 November 2020

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