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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JURUSAN SMK MENGGUNAKAN NEURO FUZZY

Ariani, Pepi Dwi and K, Entin Martiana and Basuki, Dwi Kurnia SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JURUSAN SMK MENGGUNAKAN NEURO FUZZY. EEPIS Final Project.

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    Abstract

    ABSTRACT Many available majors at the level of vocational schools make students dificult to determine the appropriate majors with his ability. Most students just followed their friends to choose the majors that can cause students feel does not match after entering the majors. Therefore we need a decision support system that can perform calculation of values, abilities and interests owned by the students to help determine the appropriate majors and SMK. This system implements Neuro-Fuzzy method (integration of fuzzy systems and neural networks). Neuro-Fuzzy is a method that uses neural networks to implement fuzzy inference systems. The system requires some form of input values, abilities and interests of students. Results from the system is recommendation value which is consistent within student�s value, abilities and interests.

    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 Ashri Esy
    Date Deposited: 29 Jul 2011 15:07
    Last Modified: 29 Jul 2011 15:07
    URI: http://repo.eepis-its.edu/id/eprint/703

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