International Journal of Electrical and Computer Engineering
Vol 7, No 5: October 2017

Online Expert Systems For Bamboo Identification Using Case Based Reasoning

Endina Putri Purwandari (University of Bengkulu, Indonesia)
Ariefa Primair Yani (University of Bengkulu, Indonesia)
Ramanda Sugraha (University of Bengkulu, Indonesia)
Kurnia Anggriani (University of Bengkulu, Indonesia)
Endang Widi Winarni (University of Bengkulu, Indonesia)



Article Info

Publish Date
01 Oct 2017

Abstract

Bamboo is a typical plant that thrives in tropical countries like Indonesia. The diversity of bamboo species makes difficult to classified, then requiring the expertise from specialist who understands deeply about bamboo characteristics. The paper purpose to (1) adopts the bamboo expert knowledge into bamboo criteria of expertise; (2) implementing Case Based Reasoning method in online expert system for bamboo identification in Bengkulu Province; and (3) determined the identification accuracy of bamboo using expert systems. The system uses Case Based Reasoning with four main steps: retrieve, reuse, revise, and retain. Bamboo expert identify bamboo criteria into 6 morphology, 31 features, and 219 attributes as an input system. The results showed that the Case Based Reasoning method has high accuracy for identifying the bamboo species and can solve the problem of bamboo identification as a new case based on old case that stored in the base case.

Copyrights © 2017






Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...