Feasibility Analysis of Cloud Computing based Management Information System Implementation in Online Trading Industry

Authors

  • Hesri Mintawati Universitas Nusa Putra
  • Bonse Aris Mandala Putra Simangunsong Universitas Nusa Putra
  • Mulyadi Suhardi Universitas Wanita Internasional
  • Novia Indah Sukma Universitas Nusa Putra
  • Zahra Aprili Fasha Universitas Nusa Putra
  • Moch Fachreza Herdiansyah Universitas Nusa Putra

DOI:

https://doi.org/10.37010/jdc.v4i2.1526

Keywords:

cloud computing, management information system, feasibility analysis, online trading industry

Abstract

The advancement of technology has led to the widespread adoption of Cloud Computing in various industries, including online trading. This research aims to analyze the feasibility of implementing a Cloud Computing-based Management Information System (MIS) in the online trading industry. Using a qualitative and quantitative approach, the study examines the infrastructure, security, cost, and benefits associated with the implementation of such a system. A case study of a leading cloud hosting provider in the industry was conducted to gather data through interviews, questionnaires, observations, and document analysis. The results indicate that the implementation of a Cloud Computing-based MIS is feasible and offers significant benefits, including improved operational flexibility, scalability, and data accessibility. However, challenges such as data security and integration with existing systems need to be addressed. This research contributes to the understanding of the potential of Cloud Computing in enhancing management information systems in the online trading industry.

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References

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Published

2024-05-08

How to Cite

Mintawati, H., Simangunsong, B. A. M. P., Suhardi, M., Sukma, N. I., Fasha, Z. A., & Herdiansyah, M. F. (2024). Feasibility Analysis of Cloud Computing based Management Information System Implementation in Online Trading Industry. JUDICIOUS, 4(2), 422–426. https://doi.org/10.37010/jdc.v4i2.1526

Issue

Section

Service Management
Abstract viewed = 212 times

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