Expert System Modeling for Land Suitability based on Fuzzy Genetic for Cereal Commodities: Case Study Wetland Paddy and Corn
Abstract: Nowadays, threats of
food shortages are happen in Indonesia. Most of crops that are consumed as main
food are cereals commodities. Cereals cultivation often experience some
problems in determining whether land is suitable or not for the crops. Expert
system can help researcher and practitioners to identify land suitability for
cereal crops. In this research, an expert system model of land suitability for
cereals crop was built. The model implemented soft computing methods to develop
inference engine which combines fuzzy system and genetic algorithm. There are
16 parameters to define land suitability which consists of 12 numeric
parameters and 4 categorical parameters. Two types of cereal crops that were
used in this study namely wetland paddy and corn. Trapezoid membership function
was used to represent fuzzy sets for numerical parameters. Genetic algorithm
was used for tuning the membership function of fuzzy set for land suitability
which consists of very suitable (S1), quite suitable (S2), marginal suitable
(S3) and not suitable (N). This expert system is able to choose land
suitability classes for cereals using the fuzzy genetic model with accuracy of
90% and 85% for corn and wetland paddy respectively.
Author: Fitri Insani, Imas S
Sitanggang, Marimin
Journal Code: jptkomputergg150112
