Using Geographic Information Systems and Decision Support Systems for the Prediction, Prevention, and Control of Vector-Borne Diseases

2011 ◽  
Vol 56 (1) ◽  
pp. 41-61 ◽  
Author(s):  
Lars Eisen ◽  
Rebecca J. Eisen
2012 ◽  
Vol 1 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Richard E. Klosterman

This paper reflects on where e-planning has been and speculates on its future. It begins by briefly reviewing forty years of efforts to use advanced information and communication technologies in planning research and practice. It then considers current efforts to develop planning and decision support systems (PSS/DSS) that adopt current geographic information systems technology to meet the unique needs of planning. It concludes with the hope that the journal will take the first word of its title seriously and share the wealth of exciting e-planning research that is being conducted in all corners of the increasingly interconnected world.


2019 ◽  
Vol 9 (2) ◽  
pp. 177
Author(s):  
Dony Martinus Sihotang ◽  
Karen N.V Tarus ◽  
Tiwuk Widiastuti

The problem of waste has not been handled well, especially in cities, including the city of Kupang. Placing the right location of the trash can be one of solutions to the waste problem. The purpose of this study is to combine decision support systems and geographic information systems to determine the location of TPS locations. There are two stages of analysis, the Brown Gibson method to determine which alternative is best for construction temporary landfill and the second analysis using the GIS approach to determine suitable point. The alternative is Neigborhoods (RT) in the Nefonaek, Kupang. The results showed that in the RT22, RT17, and RT18 which is outside the buffer area were selected as the best candidates for the new location of TPS. The system is tested in two ways, testing the blackbox using questionnaire on two respondents, and the accuracy that compares the results of the system and the results of expert. From the results of the blackbox testing, the percentage values for each GUI, Function, and information obtained were 94%, 92.5%, and 97.5%. And from Accuracy testing, obtained the value of accuracy on the first staff is 86.67% and for the second staff the accuracy value is 80%. From the two staffs obtained an average accuracy of 83.34%.


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