Pemodelan Data Mining Decision Tree Dengan Classification Error Untuk Seleksi Calon Anggota Tim Paduan Suara

Kasih, Patmi (2019) Pemodelan Data Mining Decision Tree Dengan Classification Error Untuk Seleksi Calon Anggota Tim Paduan Suara. Jurnal Innovation in Research of Informatics (INNOVATICS), 1 (2). pp. 63-69. ISSN 2656-8993

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The process of accepting new members in a team requires clarity of the evaluation criteria and the accuracy of the process in the assessment. Likewise, what is wanted by the Harmoni Nusantara Choir Team Builder at Nusantara University PGRI Kediri. During this time the selection process for the recruitment of team members is carried out conventionally with interviews and live voice tests. To decide whether a selection participant is accepted or not, the guiding team must conduct discussions that often occur when disputes arise between coaches when one participant has the same or balanced results with the other selection participants. Therefore we need a system (application) with the implementation of certain algorithms that can help in the selection process for new members. To realize the planned system, a Decision Tree algorithm modeling with the Classification Error concept is used to analyze an algorithm that is suitable to be used as an assistive algorithm in decision making. Decision Tree modeling with the concept of Classification Error is done by training data with a total of 60 records with attributes input gender, interpretation, technique, appearance, commitment, octave. The target class specified is accepted or not accepted. Based on the modeling done, a decision tree is obtained that produces 5 (five) rule’s bases that cover all records in the training data. So it can be concluded that 100% training data records (60 records) are covered in the rule's base, and concluded that the Decision Tree with the Classification Error concept can be used as an assist algorithm that will be implemented in the system (application) to assist selection of new members of the Harmoni Nusantara Choir Team on Planned Nusantara Nusantara PGRI Kediri.

Item Type: Article
Divisions: Fakultas Teknik > S1-Teknik Informatika
Depositing User: Patmi Kasih
Date Deposited: 11 Sep 2020 12:13
Last Modified: 16 Sep 2020 07:35

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