DESIGNING FUZZY EXPERT SYSTEM TO IDENTIFY CHILD INTELLIGENCE

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UEU » Scientific Articles » Sistem Informasi
Posted by [email protected] at 26/07/2018 18:09:30 • 684 Views

DESIGNING FUZZY EXPERT SYSTEM TO IDENTIFY CHILD INTELLIGENCE

Created by :
Muhamad Bahrul Ulum ( 0306048801� )

Subject:	ANAK POTENSI TUJUAN PENGAJARAN
Alt. Subject :	CHILDREN POTENTIAL INTELLIGENCE INTEREST
Keyword:	Fuzzy Child intelligence Expert system

Description:

Every child is special and has her/his own unique potential. Identifying child�s potential in early age is important for teaching purpose since every child has difference intelligence and interest. Therefore children�s teaching and learning process should be delivered based on child�s interest and intelligence, instead of forcing children to excel in every subject. We propose our research to identify child�s intelligenceby designing fuzzy expert system. The system works based on several input data of children�s multiple intelligences. The fuzzy expert system is developed using 25 input variables and resulted in 9 output variables. The system classifies the result based on 9 types of intelligence in human, where each exhibits different level. We produce 81 rules with fuzzy set of three different levels value (high, moderate, or low) for every kind of intelligence. The result of this research is very useful to hel p parents and teachers for determining their method of teaching based on children�s potential.

Date Create	:	26/07/2018
Type	:	Text
Format	:	pdf
Language	:	Indonesian
Identifier	:	UEU-Article-5_0042
Collection ID	:	5_0042

Source :
TELKOMNIKA, Vol.16, No.4, August 2018, pp. 1688~1696

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2018 Perpustakaan Universitas Esa Unggul

Publication URL :
https://digilib.esaunggul.ac.id/designing-fuzzy-expert-system-to-identify-child-intelligence-11025.html

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