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All Journal JURNAL TEKNOLOGI INFORMASI
Putranto, Hasvid Dwi
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Computer Science & IT

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Analisis Static Malware Menggunakan Algoritma Random Forest Machine Learning Wijayanto, Febri; Putranto, Hasvid Dwi; Toriq, Farhan; Bhayangkara, Dimas Satrya
JURNAL TEKNOLOGI INFORMASI Vol 9, No 2 (2023): Jurnal Teknologi Informasi
Publisher : Universitas Respati Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/jti.v9i2.2850

Abstract

Malware is a malicious software program that aims to damage or steal data from a victim's system. Malware analysis is needed to determine the performance of the malware. Static analysis was used for feature extraction from a total of 10 PEfiles, 5 malware files and 5 benign files. The random forest machine learning algorithm obtained an accuracy of 99.99%.
Co-Authors Bhayangkara, Dimas Satrya Toriq, Farhan Wijayanto, Febri