Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 2: November 2018

Jatropha Curcas Disease Identification With Extreme Learning Machine

Triando Hamonangan Saragih (Brawijaya University)
Diny Melsye Nurul Fajri (Brawijaya University)
Wayan Firdaus Mahmudy (Brawijaya University)
Abdul Latief Abadi (Brawijaya University)
Yusuf Priyo Anggodo (Ilmuone Data)

Article Info

Publish Date
01 Nov 2018

Abstract

Jatropha is a plant that has many functions, but this plant can be attacked by various diseases. Expert systems can be applied in identifying so that can help both farmers and extension workers to identify the disease. one of method that can be used is Extreme Learning Machine. Extreme Learning Machine is a method of learning in Neural Network which has a one-time iteration concept in each process. In this study get a maximum accuracy of 66.67% with an average accuracy of 60.61%. This proves the identification using Extreme Learning Machine is better than the comparison method that has been done before.

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Journal Info
Indonesian Journal of Electrical Engineering and Computer Science
Website

Abbrev

IJEECS

Publisher

Institute of Advanced Engineering and Science

Subject

Description

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