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PENENTUAN BIDANG STUDI TUGAS AKHIR MAHASISWA TEKNIK INFORMATIKA PENS MENGGUNAKAN METODE FUZZY

Zainuddin Fauzi, Ahmad and Martiana K, Entin and Fariza, Arna (2010) PENENTUAN BIDANG STUDI TUGAS AKHIR MAHASISWA TEKNIK INFORMATIKA PENS MENGGUNAKAN METODE FUZZY. EEPIS Final Project.

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    Abstract

    Final project is one of duties that have to be done by university college student, especially in PENS-ITS, as a condition to graduate. But, there are many students that get difficulties in finishing their final project. That can be caused by their capability on final project specification that they're working on. So that, it's needed an application that can help students to determine their final project specification based on their capability. This Final Project discuss about fuzzy methods to determine Final Project specification for student of Informatics Engineering PENS-ITS based on their interest and ?lectures? values. Each specification has lectures itself and those lectures that will be the attributes of the data in this system. Fuzzy method used is the Fuzzy Sugeno. Fuzzy methods are used to perform fuzzification of data that formed the membership value. Membership value is performed or the determination of rules of inferenci. Inference is to find the highest value of the fuzzification process. Composition process is a combination of the outputs of all rules or inference. The result of the composition and then perform defuzzification process data. Defuzzification is the final process that uses max method by taking the highest index will be chosen field of TA. This application was built using PHP and implemented in a web form that can be easily accessed by the user. Aplication can help students determine areas of study TA base on values and interests with the results of studies in the field recommend.Test data generation D4 2006 0:44 percentage of appropriate and inappropriate 0:56 and 0:53 D4 force in 2007 the percentage of appropriate and inappropriate 0:47. Keyword: Fuzzy Sugeno, fuzzification, Defuzzification, Inference, Composition, PHP.

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Mrs Hani Syarifati
    Date Deposited: 15 Apr 2011 21:53
    Last Modified: 15 Apr 2011 21:53
    URI: http://repo.pens.ac.id/id/eprint/408

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