MultiClass Decision Forest Machine Learning Artificial Intelligence

JOURNAL OF APPLIED INFORMATICS AND COMPUTING

View Publication Info
 
 
Field Value
 
Title MultiClass Decision Forest Machine Learning Artificial Intelligence
MultiClass Decision Forest Machine Learning Artificial Intelligence
 
Creator Siswoyo, Bambang
 
Description Artificial intelligence is the best solution in dealing with various fields. The Multi Class Decesion Forest Machine Learning algorithm which is part of artificial intelligence is an interesting field to be applied in the banking field. This research was developed to build a model that can predict and evaluate bankruptcy in the banking industry. The predictor variable is the financial ratio obtained from the publication of the site http://www.idx.co.id. Modeling machine learning with six variables, where five variables as input and one variable as a target. Overall, the Multi Class Decistion Forest Machine Learning is able to train data input-output relationships and modeling behavior well, 92% accuracy value, 92% precision value and 90% under area curve value.
Kecerdasan buatan merupakan solusi yang terbaik dalam menangai berbagai bidang. Algoritma Multi Class Decesion Forest Machine Learning yang merupakan bagian dari kecerdasan buatan adalah bidang yang menarik untuk diterapkan dalam bidang perbankan. Penelitian ini dikembangkan untuk membangun model yang dapat memprediksi dan mengevaluasi kebangkrutan industri perbankan. Variabel prediktor adalah rasio keuangan yang didapatkan dari publikasi situs http://www.idx.co.id. Modeling machine learning dengan enam variabel, dimana lima variabel sebagai input dan satu variabel sebagai target. Secara keseluruhan, Multi Class Decistion Forest Machine Learning mampu melatih data hubungan input-output dan perilaku pemodelan dengan baik, nilai accuracy 92%, nilai precision 92% dan nilai under area curve 90%.
 
Publisher Politeknik Negeri Batam
 
Date 2020-01-23
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/1155
10.30871/jaic.v4i1.1155
 
Source Journal of Applied Informatics and Computing; Vol 4 No 1 (2020): Juli 2020; 1-7
2548-6861
10.30871/jaic.v4i1
 
Language eng
 
Relation https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/1155/1031
 
Rights Copyright (c) 2020 Bambang Siswoyo
http://creativecommons.org/licenses/by-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library