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Menampilkan 1–2 dari 2 artikel
Detecting Phishing URLs with CNN - Decision Tree Method
Reza Aminullah
; Fetty Tri Anggraeny
; Fawwaz Ali Akbar
International Journal of Information Engineering and Science
Vol 2
, No 2
(2025)
This research focuses on assessing the efficacy of a method that integrates Convolutional Neural Networks (CNN) with Decision Trees for the detection of phishing URLs. Phishing represents a major cyber threat, where cybercriminals attempt to deceive individuals into disclosing sensitive information via fraudulent websites. As the frequency of phishing attacks continues to rise, there is a pressing need for effective detection and prevention strategies. In this investigation, a dataset comprising...
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Implementasi Item-Based Collaborative Filtering Untuk Rekomendasi Film
Rayhan Rizal Mahendra
; Fetty Tri Anggraeny
; Henni Endah Wahanani
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 2
, No 3
(2024)
Item-based collaborative filtering is a popular technique in recommendation systems that aims to provide suggestions for films to watch or services to users based on similarities between items. In this approach, the similarity between items is calculated using metrics such as cosine similarity, allowing the prediction of user preferences for items that have never been rated. This research implements Item-based collaborative filtering using datasets from Kaggle. Experimental results show that the...
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