Skripsi

KLASIFIKASI SERANGAN SPYWARE DENGAN MENGGUNAKAN METODE DECISION TREE

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Penilaian

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Spyware is a type of malicious software that can collect information about a person or organization without permission. Typically, spyware is installed accidentally through malware or downloaded from the internet without the user's knowledge. Spyware is particularly dangerous because it targets computers and gadgets, posing serious risks to privacy and data integrity. Spyware can collect sensitive personal information and control devices for unclear purposes, making it crucial to ensure the security of devices and personal information. This study aims to classify spyware attacks using the decision tree method. The dataset used is CICMalMem2022. The classification results of the Decision Tree method show the best performance in the 70:30 data split scenario, with an accuracy of 99.97%, precision of 99.97%, recall of 99.90%, and an F1-score of 99.93%. These results prove that the decision tree method is effective in identifying spyware attacks with high accuracy.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507006397	T185973	T1859732025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1859732025

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xv, 82 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

005.840 7

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

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Subject(s)

Prodi Sistem Komputer
Serangan Spyware

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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