Saputra, Nico Adi (2025) PERANCANGAN SISTEM KEAMANAN SIBER BERBASIS HYBRID ENSEMBLE UNTUK DETEKSI ANOMALI JARINGAN. Undergraduate thesis, Universitas Nusantara PGRI Kediri.
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Abstract
Penelitian ini bertujuan untuk merancang sistem keamanan siber berbasis Hybrid Ensemble Learning yang menggabungkan algoritma Isolation Forest, K-Means, dan Random Forest untuk mendeteksi anomali pada lalu lintas jaringan. Sistem ini dirancang untuk menangani serangan siber tingkat lanjut seperti zero-day attacks dan Advanced Persistent Threats (APT) yang sulit dikenali oleh metode deteksi berbasis tanda tangan. Metode majority voting digunakan untuk menggabungkan hasil deteksi dari setiap model agar meningkatkan akurasi dan mengurangi tingkat false positive. Pengujian menggunakan dataset CSE-CIC-IDS2018 menunjukkan bahwa pendekatan ini berhasil mencapai akurasi 99,9% dengan peningkatan performa yang signifikan dibandingkan algoritma tunggal. Hasil ini menunjukkan bahwa pendekatan hybrid ensemble mampu memberikan sistem deteksi yang lebih adaptif, efisien, dan andal dalam menghadapi ancaman siber modern.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Deteksi Anomali, Hybrid Ensemble, Keamanan Siber, Serangan Siber, Network Intrusion Detection System. |
| Subjects: | 100 Mathematics and natural science > 123 Computer science 410 Engineering science > 457 Computer engineering 410 Engineering science > 458 Technical information 410 Engineering science > 459 Computer science 410 Engineering science > 461 Information systems 410 Engineering science > 462 Information technology |
| Divisions: | Fakultas Teknik dan Ilmu Komputer > S1-Teknik Informatika |
| Depositing User: | NICO ADI SAPUTRA |
| Last Modified: | 07 Aug 2025 06:06 |
| URI: | http://repository.unpkediri.ac.id/id/eprint/20441 |
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