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

Triando Hamonangan Saragih (Universitas Lambung Mangkurat)
Diny Melsye Nurul Fajri (Universitas Brawijaya)
Alfita Rakhmandasari (Universitas Brawijaya)

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Vol. 5, No. 1, February 2020

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%.