Implementasi CRISP-DM Model Menggunakan Metode Decision Tree dengan Algoritma CART untuk Prediksi Curah Hujan Berpotensi Banjir

JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Title Implementasi CRISP-DM Model Menggunakan Metode Decision Tree dengan Algoritma CART untuk Prediksi Curah Hujan Berpotensi Banjir
 
Creator Hasanah, Msy Aulia
Soim, Sopian
Handayani, Ade Silvia
 
Description Indonesia is part of a tropical climate with high rainfall intensity. High rainfall intensity can potentially cause flooding. To minimize this, accurate weather predictions are needed to be able to anticipate beforehand. This research was conducted with the aim of classifying based on the rain category with the dichotomy of heavy rain and very heavy rain using data mining techniques with the CRISP-DM methodology. The algorithm used in the classification technique is CART (Classification And Regression Tree) with Confusion Matrix test parameters. Based on the results of the model evaluation, it shows that the CART algorithm has a fairly good performance in classifying with an accuracy value of 89.4%.
 
Publisher Politeknik Negeri Batam
 
Date 2021-10-07
 
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/3200
10.30871/jaic.v5i2.3200
 
Source Journal of Applied Informatics and Computing (JAIC); Vol 5 No 2 (2021): Desember 2021; 103-108
Journal of Applied Informatics and Computing (JAIC); Vol 5 No 2 (2021): Desember 2021; 103-108
2548-6861
10.30871/jaic.v5i2
 
Language eng
 
Relation https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/3200/1497
 
Rights Copyright (c) 2021 Msy Aulia Hasanah, Sopian Soim, Ade Silvia Handayani
http://creativecommons.org/licenses/by-sa/4.0
 

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