COMPARATIVE ANALYSIS OF PHISHING WEBSITE PREDICTION CLASSIFICATION ALGORITHM USING LOGISTIC REGRESSION, DECISION TREE, AND RANDOM FOREST

MUHAMMAD FANDRU AL RIFQI, MAULI DINA (2022) COMPARATIVE ANALYSIS OF PHISHING WEBSITE PREDICTION CLASSIFICATION ALGORITHM USING LOGISTIC REGRESSION, DECISION TREE, AND RANDOM FOREST , SKRIPSI, UNIVERSITAS PRIMA INDONESIA

ABSTRAK

Almost all daily activities are poured into the Internet, and users interact by
having a personal account that is linked to the world's data, by giving each
user access to view various information around the world through the
website. However, with the increasing number of users accessing the internet,
the confidentiality of internet users' data is increasingly vulnerable to being
stolen by irresponsible individuals or groups. Phishing is an attack in which
an attacker tries to steal confidential information from a target person by
sending a fake link. Attackers steal personal information entered by users on
fake websites. In comparing the prediction classification of phishing websites
using the logistic regression algorithm, decision tree

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