IMPLEMENTASI ALGORITMA J48 PADA PENGUJIAN DATA WEBSITE PHISING

research
  • 15 Dec
  • 2021

IMPLEMENTASI ALGORITMA J48 PADA PENGUJIAN DATA WEBSITE PHISING


ABSTRACTION


Ega Rispialin (15170283), Implementation of J48 Algorithm in Phising Website Data Testing


The problem of website counterfeiting or deception is considered a very sensitive issue and is very popular in Indonesia such as in the industrial sector, especially e-banking, e-commerce and so on. There are many people who ignore the problem because they don't really care about it, there are also Some people who feel very annoyed with websites that are hacked / phisy. For example, in the case of taking a number of online transactions involving payments through websites, not a few websites are legitimate but a lot of websites are faked. When a website is deemed suspicious, it means that the site can be phishy or legitimate, meaning that the website has some legitimate features. The author conducted a study to determine the most appropriate and best algorithm. Determination of Algorithm by comparison between Algorithm classification techniques. Based on several related studies and algorithms, this study will test the J48 Algorithm because the results of this study show that the J48 Algorithm is the most appropriate algorithm used with an average accuracy value of 88.30% and produces a smaller error rate.


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REFERENSI


DAFTAR PUSTAKA


 


Abdelhamid, N. (2016, 11 02). Website Phishing Data Set. Retrieved from UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/Website+Phishing


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Kaunang, J. F. (2018). Penerapan Algoritma J48 Decision Tree Untuk Analisis Tingkat Kemiskinan di Indonesia. Cogito Smart Journal, 348-358.


Salim, T., & Giap, C. Y. (2017). DATA MINING IDENTIFIKASI WEBSITE PHISING MENGGUNAKAN ALGORITMA C4.5. Jurnal TAM (Technology Acceptance Model), 130-135.


Sunaryono. (2017). PENELITIAN KOMPARASI ALGORITMA KLASIFIKASI DALAM MENENTUKAN WEBSITE PALSU. Teknikom, 1-12.


Wajhillah, R., & Yulianti, I. (2017). Penerapan Algoritma C4.5 Untuk Prediksi Penggunaan Jenis Kontrasepsi Berbasis Web. Kumpulan Jurnal Ilmu Komputer (KLIK), 174-187.


 


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