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All Journal Smatika Jurnal : STIKI Informatika Jurnal
Saddam Rabbani
Universitas Bina Darma
Computer Science & IT

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Prediksi Kategori Serangan Siber dengan Algoritma Klasifikasi Random Forest Menggunakan Rapidminer Saddam Rabbani; Diana Diana
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.934

Abstract

Cyber attacks are a serious threat to organizations or institutions that use computer networks in their operations, one of which is Communication and Informatics Department of Palembang. Therefore, this study aims to implement the Random Forest classification algorithm on the Rapidminer platform to predict cyber attack categories at the Communication and Informatics Department of Palembang. The data used in this study is cyber attack data from firewall devices for a certain period. The data is processed using Rapidminer with the Random Forest algorithm to predict cyber attack categories. The results of this research provide a high accuracy value, thereby enabling the responsible team to take preventive action or response detrimental cyber to the Communication and Informatics Department of Palembang. After evaluation using the confusion matrix and accuracy score, the results obtained were 99.84% accuracy and out of bag error 0.16.
Co-Authors Diana Diana