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KLASIFIKASI PDF MALWARE PADA GARUDA KEMDIKBUD SEBAGAI AGREGATOR NASIONAL DENGAN METODE K-NEAREST NEIGHBOR
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%.
Inventory Code | Barcode | Call Number | Location | Status |
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2207005155 | T84668 | T846682022 | Central Library (Referens) | Available but not for loan - Not for Loan |
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