Selecting prototypes for two multicriteria classification methods: A comparative study

2009 ◽  
Author(s):  
Nathanael C. Costa ◽  
Amaury T. Brasil Filho ◽  
Andre L. V. Coelho ◽  
Placido R. Pinheiro
Keyword(s):  
Comparative Study ◽  
Classification Methods

scholarly journals Comparative Study of Decision Tree, K-Nearest Neighbor, and Modified K-Nearest Neighbor on Jatropha Curcas Plant Disease Identification

2020 ◽  
pp. 55-60
Author(s):  
Triando Hamonangan Saragih ◽  
Diny Melsye Nurul Fajri ◽  
Alfita Rakhmandasari
Keyword(s):  
Expert System ◽  
Decision Tree ◽  
Comparative Study ◽  
Jatropha Curcas ◽  
Plant Disease ◽  
Nearest Neighbor ◽  
Classification Methods ◽  
K Nearest Neighbor ◽  
Disease Identification ◽  
Accuracy Result

Jatropha Curcas is a very useful plant that can be used as a bio fuel for diesel engines replacing the coal. In Indonesia, there are few plantation that plant Jatropha Curcas. But there is so limited farmers that understand in detail about the disease of Jatropha Curcas and it may cause a big loss during harvesting when the disease occured with no further action. An expert system can help the farmers to identify the lant diseases of Jatropha Curcas. The objective of this research is to compare several identification and classification methods, such as Decision Tree, K-Nearest Neighbor and its modification. The comparison is based on the accuracy. Modified K-Nearest Neighbor method given the best accuracy result that is 67.74%.

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