Fuzzy Logic using Tahani Model on Food Commodity | Zendy

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Fuzzy Logic using Tahani Model on Food Commodity

Author(s) -

Adriyendi

Publication year - 2017

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2017.07.01

Subject(s) - commodity , fuzzy logic , production (economics) , product (mathematics) , yield (engineering) , computer science , government (linguistics) , agricultural engineering , agricultural economics , business , mathematics , economics , artificial intelligence , microeconomics , finance , linguistics , philosophy , materials science , geometry , engineering , metallurgy

Seasonal vegetable plants are one of food commodity in Indonesia which contributed significantly in supporting the growth of national economy. Fuzzy Logic using Tahani Model is appropriate to analyze the harvested area, production, and yields of food commodity. It is based on query in fuzzy database. It is also can be proposed as recommendation for both government and entrepreneur in achieving in the target based on query. Target is main priority of food commodity. Fuzzy query is harvested area (medium), production (sufficient), and yield (normal). Non fuzzy query is commodity (export commodities), harvest (plants harvested several times), and form of product (fresh fruit). Result showed that eggplant (0.6587), tomato (0.6023), cucumber (0.5865), capsicum frutescens (0.2901), and capsicum annum (0.1581) as recommendation for priority of national food policy.

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