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KLASIFIKASI PDF MALWARE PADA GARUDA KEMDIKBUD SEBAGAI AGREGATOR NASIONAL DENGAN METODE K-NEAREST NEIGHBOR

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Penilaian

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Garba Rujukan Digital (GARUDA) is a digital service used for collecting archives of national publication documents in PDF format. There are sections in the PDF that can be used by hackers to carry out attacks that the file becomes PDF Malware. The dataset obtained is unprocessed data, which was analyzed using PDFiD to obtain features. The feature extraction results were used to classify multiclass labels, namely PDF-Malware, PDF-HTML, and PDF-Benign using K-Nearest Neighbor. The best K-Nearest Neighbor results are K=1 obtained a precision value of 98,2%, a recall of 98,4%, an f1-score of 98.3%, an accuracy of 98.3%, and K=3 obtained a precision value of 98%, recall of 98.4%, f1-score of 98.2%, accuracy of 98.3%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207005155	T84668	T846682022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T846682022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xii, 44 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Sistem Pakar
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

File Attachment

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