Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Proceeding International Conference on Information Technology and Business
Fitria -
Department of Informatics Engineering. The Informatics and Business Institute Darmajaya Jl. ZA Pagar Alam Bandar Lampung Indonesia No. 39 35 142 Tel: +62 721 787214 Fax: +62 721 700261 ext. 112
Computer Science & IT Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A PREDICTION SYSTEM DESIGN FOR THE AMOUNT OF CORN PRODUCTION USING TSUKAMOTO FUZZY INFERENCE SYSTEM Fitria -
Prosiding International conference on Information Technology and Business (ICITB) 2015: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 1
Publisher : Proceeding International Conference on Information Technology and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Fuzzy inference system is a computing framework basedon fuzzy set theory, fuzzy rules in the form of IF-THEN,and fuzzy reasoning. Fuzzy inference system receivesinput crisp. This input is then sent to a knowledge base thatcontains fuzzy rules in the form of IF-THEN. Fire strengthwill be sought at every rule. If the number of rules is morethan one, it will be the aggregation of all the rules.Furthermore, the aggregation results will be defuzzy to getcrisp value as output system (Kurniawan, 2004).The method used in building this system is the method ofTsukamoto fuzzy inference system. Tsukamoto method isan extension of the monotonous reasoning. In Tsukamotomethod, each consequent upon the rules that forms If -Then shall be represented by a fuzzy set membershipfunctions are monotone.The results of this study are to predict number ofinformation systems on corn production in the SPSS SouthLampung District Court and to get the desired resultsKEY WORDS: corn production information system, theprediction system
Co-Authors