Kittisak Prukkanone. An information system for selecting single-leaf partitions for noise control. Master's Degree(Information Management on Environments and Resources). Mahidol University. : Mahidol University, 2009-07-09.
An information system for selecting single-leaf partitions for noise control
Abstract:
The objective of this study is to apply an Information System (IS) integrated with a mathematical model to selecting single-leaf partitions for noise control. The study supports decision-making of the Environmental Health Division officials (Bangkok Metropolitan Administration) concerning nuisance control from noise pollution. The development of the system used a prototype-base methodology where SDLC (System Development Life Cycle) was adjusted in order that parts of system could be developed quickly and the users could obtain some functionality as soon as possible.
Theory and knowledge of system analysis and design have been used in sequence. The steps consisted of: 1.Planning phase – studied scope and characteristics of problems; 2.Analysis phase – used context diagram, data flow diagram (DFD), and process specification to analyze information; 3.Design phase – conducted user interface design, input design, output design including database design, through a entity-relationship diagram (ER Diagram) and normalization methodology; 4.Implementation (I) phase – used Microsoft Visual Basic.NET to develop the application, Microsoft SQL Server 2000 to develop the database and Crystal Report Decision to create the reports; 5.Prototyping phase – verified and corrected the prototype faults; 6.Implementation (II) phase – installed new system for actual operation.
After the development of the information system was completed, the system performance was tested by three groups of assessors. Two experts on information system development evaluated the accuracy of the design system phase, the DFD, the ER Diagram and the optimizing of the system development tools. Their views on the factors in the system fell into a high level and the optimizing of the normalization, the testing of data and the completion of the system design fell into the category of the medium level. Two experts on noise pollution control who evaluated the accuracy of data, the data analyzing methodology, the data conclusion, the optimizing of the data display and the completion of data scored the performance of the system as the max level. A user who evaluated the system based on the factors of the accuracy of the system processing, the convenience in data entering, system installation, data editing, data searching, the optimizing of the data display, the user manual, the completion of the nuisance control data, the advantage of the system utility and the opinion of user for system operation rated the system in a scale at the max level.
Additional to the information system for selecting single-leaf partitions for noise control, the installation guide and the user manual includes a database designed for recording, correcting and searching relevant data was created in this study.