Skripsi

PENERAPAN RANDOM FOREST CLASSIFIER UNTUK DETEKSI PDF MALWARE PADA LAYANAN AGREGATOR GARBA RUJUKAN DIGITAL (GARUDA) KEMENDIKBUD DIKTI

---

Penilaian

---

Garba Rujukan Digital (GARUDA) is a Service Provider whice provides information and means which has been produced by research academics in Indonesia, Currently the service (GARUDA) Provides data in file room. Portable Document Fortmat (PDF). Whice PDF is ussually for fast and easy information sharing service, Howaver many people are irresponsible and actually tak and advantage of this to commit digital crime Cyber Crime. (GARUDA) hava data a big and give a 10000 PDF Malware is used for dataset in research. Dataset in mine then get it data benign 8900, data non-pdf 196, and data mal-pdf 6. Virus Total and PDFiD in used for analysis statis to dataset, This research arms to produce performance and evaluation of the performance of the Random Forest algorithm in the Imbalance dataset on the GARUDA malware PDF dataset. The data balancing process is carried out using two approaches, namely using Over-sampling with the SMOTE technique and Under-sampling as well as using K-Fold. The application of the Random Forest Classifier resulted in an accuracy rate of 86.22%, precision with 79.55%, recall with 78.98% and F1-Score with 79.26%.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001195	T139960	T1399602024	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1399602024

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2024

Collation

xiii, 54 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

006.307

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Sistem Pakar
Prodi Sistem Komputer

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment