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 |
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| Creator |
Siswoyo, Bambang
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| 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%. |
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| Publisher |
Politeknik Negeri Batam
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| Date |
2020-01-23
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion |
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| Format |
application/pdf
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| Identifier |
https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/1155
10.30871/jaic.v4i1.1155 |
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| Source |
Journal of Applied Informatics and Computing; Vol 4 No 1 (2020): Juli 2020; 1-7
2548-6861 10.30871/jaic.v4i1 |
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| Language |
eng
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| Relation |
https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/1155/1031
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| Rights |
Copyright (c) 2020 Bambang Siswoyo
http://creativecommons.org/licenses/by-sa/4.0 |
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