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Identifikasi Website Phishing Menggunakan Algoritma Classification And Regression Trees (CART)

Jurnal Ilmiah Informatika

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Title Identifikasi Website Phishing Menggunakan Algoritma Classification And Regression Trees (CART)
 
Creator Subarkah, Pungkas
Ikhsan, Ali Nur
 
Subject Phishing
Website
Identification
CART
 
Description With the increase in internet users and the development of technology, the threats to its security are increasingly diverse. One of them is phishing which is the most important issue in cyberspace. Phishing is a threatening and trapping activity someone by luring the target to indirectly provide information to the trapper. The number of phishing crimes, this has the potential to cause several losses, one of which is namely about the loss of privacy of a person or company. This study aims to identify phishing websites. The Classification And Regression Trees (CART) algorithm is one of the classification algorithms, and the dataset in this research taken from the UCI Repository Learning obtained from the University of Huddersfield. The method used in this research is problem identification, data collection, pre-processing stage, use of the CART algorithm, validation and evaluation and withdrawal conclusion. Based on the test results obtained the value of accuracy of 95.28%. Thus the value of the accuracy obtained using the CART algorithm of 95.28% categorized very good classification.
 
Publisher Department of Science and Technology Ibrahimy University
 
Date 2021-12-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.ibrahimy.ac.id/index.php/JIMI/article/view/1342
10.35316/jimi.v6i2.1342
 
Source Jurnal Ilmiah Informatika; Vol. 6 No. 2 (2021): Jurnal Ilmiah Informatika; 127-136
2549-6301
2549-7480
10.35316/jimi.v6i2
 
Language eng
 
Relation https://journal.ibrahimy.ac.id/index.php/JIMI/article/view/1342/1123
 
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https://creativecommons.org/licenses/by-nc/4.0