THE CONCEPT OF AN INTELLIGENT DATABASE MANAGEMENT SYSTEM ARCHITECTURE ON CLOUD TO SUPPORT THE INVENTORY STORAGE

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Narasak Phunaploy
Pinanta Chatwattana

Abstract

The objectives of this research are : 1) to study, analyze, and synthesize the documents as well as the researches relevant to the concept of an intelligent database management system architecture on cloud to support the inventory storage, 2) to design the concept of an intelligent database management system architecture on cloud, 3) to develop the concept of an intelligent database management system architecture on cloud, and 4) to study the results of satisfaction evaluation on the development of the concept an intelligent database management system architecture on cloud. According to the results of this research, it is found that: 1) the intelligent database management system architecture on cloud consists of 5 elements,   i.e. stakeholders, database system, inventory storage, cloud computing technology, and equipment, 2) the results of satisfaction evaluation on the development of the intelligent database management system architecture on cloud reflect that (2.1) the satisfaction in terms of overall elements of the system architecture is at very high level (gif.latex?\bar{x} =4.72, S.D.=0.45); 3) the results of satisfaction evaluation as to separated elements can be summarized as follows: (3.1) the satisfaction of user element is at very high level ( gif.latex?\bar{x}=4.62, S.D.gif.latex?\bar{x}=0.48), (3.2) the satisfaction on database system element is at very high level (gif.latex?\bar{x} =4.69, S.D.gif.latex?\bar{x}=0.55), (3.3) the satisfaction on inventory storage element is at very high level ( gif.latex?\bar{x}=4.79, S.D.gif.latex?\bar{x}=0.43), (3.4) the satisfaction on cloud computing technology element is at very high level ( =4.74, S.D.gif.latex?\bar{x}=0.43), and (3.5) the satisfaction on equipment element is at very high level (gif.latex?\bar{x} =4.78, S.D.=0.44); and 4) the satisfaction on application of the system architecture is at very high level ( gif.latex?\bar{x}=4.74, S.D. gif.latex?\bar{x}=0.44).

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Phunaploy , N., & Chatwattana , P. (2020). THE CONCEPT OF AN INTELLIGENT DATABASE MANAGEMENT SYSTEM ARCHITECTURE ON CLOUD TO SUPPORT THE INVENTORY STORAGE. Journal of Industrial Education, 19(1), 111-121. Retrieved from https://ph01.tci-thaijo.org/index.php/JIE/article/view/223413
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Research Articles

References

[1] Triayara, W. 2018. Using Information Technology for Learning and Teaching of Teachers and Studentsat Sisongkham Industrial Technology College Nakhon Phanom University. Graduate Studies Journal, 15(68), p. 147-157.

[2] Thaithong, N. 2011. Creation of Master Plan for Rajabhat University’s Information Technology. Industrial Technology Journal, 4(1), p. 32-47

[3] Lorsuwanrat, T. 2002. Management Information System (2th edition). Bangkok: S&G Graphic. Press.

[4] _______. 2004 Management Information System (5th edition). Bangkok: Chat Forin Printing Press.

[5] Chatwattana, P. 2013 Intelligent Tutoring System for Web-Based Instruction. RMUTP Research Journal, 7(1), p. 151-158.

[6] Wiriyasuthiwong, W. 2009. article. Intelligent Control System. [online]. Retrieved August 15, 2019 from: https://www.gotoKnow.org/posts/262820

[7] Ngamksanit, P. 2010. The development of an intelligent system for personalized travel planning. Nakhon Ratchasima: Library and Educational Media Center Suranaree University of Technology.Press.

[8] Porncharoen, S. & Porncharoen, A. 2018. Intelligent System Development for Natural Tourism Planning in Ubon Ratchathani Province. Journal of Industrial Technology Ubon Ratchathani Rajabhat University, 9(2), p. 37-48.

[9] Posri, B. & Papasratorn, B. 2013. Cloud Computing Resources ProvisioningUsing Virtual Server Size Expansion Method. The Journal of KMUTNB, 23(1), p.180-187.

[10] Khwana, T. & Khwana, K. 2019. THE Instruction to Promote Learning Skills in 21St century. Journal of Graduate School, 16(73), p. 13-22.

[11] Gunadham, T. 2019. Cloud storage application functionalities from users’ perspectives. Journal of Thai Interdisciplinary Research, 14(1), p. 42-47.

[12] Kanasutra, P. 1995. Statistics for Research in the Behavioral Sciences. Bangkok: Chulalongkorn University Press.

[13] Mahamon, S. & Kengpon, A. 2018. Database System Development System for Managing Spare Parts in Engineering and Maintenance Department: A Case Study in Coil Center Industry. Journal of KMUTNB, 28(3), p. 547-555.

[14] Kengpol, A. & Perngkarm, K. 2018. Development of a Database Management System for Reducing Time to Prepare Documents of Procurement Spare Parts and Maintenance: A Case Study in a Logistic Industry. Journal of KMUTNB, 29(3), p. 421-430.

[15] Chatwattana, P. & Mantree, D. 2018. The Architecture of Participatory Learning System with Virtual Laboratory. Journal of Industrial Education, 17(3), p. 222-229.