eprintid: 31833
rev_number: 12
eprint_status: archive
userid: 12
dir: disk0/00/03/18/33
datestamp: 2026-07-01 01:48:42
lastmod: 2026-07-01 03:07:08
status_changed: 2026-07-01 01:48:42
type: thesis
metadata_visibility: show
creators_name: Setyanto, Nurcahyo Fajar
creators_nim: 21.83.0676
contributors_name: Pramitasari, Rina
corp_creators: Universitas AMIKOM Yogyakarta
title: {JALUR SCIENTIST} MENINGKATKAN DETEKSI MALWARE BERBASIS MACHINE
LEARNING MELALUI PENGURANGAN FITUR BERBASIS IQR
ispublished: pub
subjects: 000.000.000A
subjects: 000.000.005
divisions: tk
full_text_status: restricted
keywords: Malware, Machine Learning, Interquartile Range, XGBoost, Deteksi
Malware, Malware
Detection
date: 2026-01-07
date_type: published
institution: Universitas AMIKOM Yogyakarta
department: Fakultas Ilmu Komputer
thesis_type: bachelor
thesis_name: skripsi
citation:   Setyanto, Nurcahyo Fajar  (2026) {JALUR SCIENTIST} MENINGKATKAN DETEKSI MALWARE BERBASIS MACHINE LEARNING MELALUI PENGURANGAN FITUR BERBASIS IQR.  S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.   
document_url: https://eprints.amikom.ac.id/id/eprint/31833/1/COVER.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31833/2/ISI.pdf
document_url: https://eprints.amikom.ac.id/id/eprint/31833/3/Sourcecode%20-%2021.83.0676.zip