ACS Applied Computer Science

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A YII-POWERED WEB APPLICATION TO ASSIST DECISION-MAKERS IN MUNICIPAL SOLID WASTE MANAGEMENT

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This paper adopts the concepts of observatory and competitive intelligence (CI) to model a system that will generate better insights for decision-makers in the solid waste industry. The first part of this work is to design and develop a data warehouse (DWH) of solid waste statistics using data assembled from disparate sources. Our methodology of design is the entity relationship diagram (ERD) and our implementation tool is MySQL running on phpMyAdmin. The second part of our work will be to turn our developed DWH into a Web application using the Yii PHP component framework. Our findings indicated that the application of both concepts of observatory and CI lead to better insights for decision-makers and hence better organizational performance.

  • APA 6th style
Okae, P., & David, A. (2016). A Yii-powered web application to assist decision-makers in municipal solid waste management. Applied Computer Science, 12(2), 33-41.
  • Chicago style
Okae, Percy, and Amos David. "A Yii-Powered Web Application to Assist Decision-Makers in Municipal Solid Waste Management." Applied Computer Science 12, no. 2 (2016): 33-41.
  • IEEE style
P. Okae and A. David, "A Yii-powered web application to assist decision-makers in municipal solid waste management," Applied Computer Science, vol. 12, no. 2, pp. 33-41, 2016.
  • Vancouver style
Okae P, David A. A Yii-powered web application to assist decision-makers in municipal solid waste management. Applied Computer Science. 2016;12(2):33-41.
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