KLASIFIKASI PDF MALWARE PADA GARBA RUJUKAN DIGITAL (GARUDA) KEMDIKBUD DIKTI MENGGUNAKAN METODE RECURRENT NEURAL NETWORK

ANDINA, INDAH RIA and Stiawan, Deris and Afifah, Nurul (2024) KLASIFIKASI PDF MALWARE PADA GARBA RUJUKAN DIGITAL (GARUDA) KEMDIKBUD DIKTI MENGGUNAKAN METODE RECURRENT NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

Garba Rujukan Digital (GARUDA) is a source of information covering various fields including science, behavioral psychology, moral science, math, and computers, as well as other scientific publications managed by the Ministry of Education and Culture and Higher Education. Malware problems are more dangerous for government institutions and organizations than for private users. Various intentions are carried out by embezzlers. to carry out dangerous activities that can harm others, such as wiretapping or gaining access rights without the knowledge and permission of the owner. The technique used in the classification is Recurrent Neural Network. The dataset used is 10,000 with 21 prediction variables and gets an accuracy of 99%. Keywords: Classification, Recurrent Neural Network, PDF Malware, Imbalance Dataset

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kata Kunci : Klasifikasi, Recurrent Neural Network, PDF Malware, Imbalance Dataset
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Indah Ria Andina
Date Deposited:	14 Jan 2025 01:22
Last Modified:	14 Jan 2025 01:22
URI:	http://repository.unsri.ac.id/id/eprint/163433

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