Studi Komprehensif Keamanan Siber: Perbandingan Teknologi AI dengan Sistem Non-AI dalam Deteksi dan Pencegahan Ancaman

This research examines cybersecurity approaches in Indonesia, focusing on the implementation of Artificial Intelligence (AI) technology compared to non-AI systems in detecting and preventing threats. The study identifies the advantages of AI, such as its capabilities in large-scale data analysis, detection of suspicious patterns, and reduction of human error. The methodology follows PRISMA guidelines for systematic literature review. Findings reveal that while AI can enhance threat detection effectiveness and resilience against attacks, the adoption of this technology in Indonesia remains limited by infrastructure, resources, and technical expertise. This research is expected to provide insights for more proactive national cybersecurity policies and support the development of AI technology in future information security initiatives.

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Publication Details

Journal
Jurnal Komtika (Komputasi dan Informatika)
Published
2025-05-31
DOI
https://doi.org/10.31603/komtika.v9i1.13149
Primary Topic
Legal Studies and Policies
Type
article
Field-Weighted Citation Impact
0.00
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article

Studi Komprehensif Keamanan Siber: Perbandingan Teknologi AI dengan Sistem Non-AI dalam Deteksi dan Pencegahan Ancaman

Rianto Rianto, EIH Ujianto, Yollandaru Yoga Santika
Jurnal Komtika (Komputasi dan Informatika)
Legal Studies and Policies
article

Studi Komprehensif Keamanan Siber: Perbandingan Teknologi AI dengan Sistem Non-AI dalam Deteksi dan Pencegahan Ancaman

Rianto Rianto, EIH Ujianto, Yollandaru Yoga Santika
article en

Abstract

This research examines cybersecurity approaches in Indonesia, focusing on the implementation of Artificial Intelligence (AI) technology compared to non-AI systems in detecting and preventing threats. The study identifies the advantages of AI, such as its capabilities in large-scale data analysis, detection of suspicious patterns, and reduction of human error. The methodology follows PRISMA guidelines for systematic literature review. Findings reveal that while AI can enhance threat detection effectiveness and resilience against attacks, the adoption of this technology in Indonesia remains limited by infrastructure, resources, and technical expertise. This research is expected to provide insights for more proactive national cybersecurity policies and support the development of AI technology in future information security initiatives.

Jurnal Komtika (Komputasi dan Informatika)Vol. 9(1)
Universitas Teknologi Yogyakarta (ID)
Openalex Percentile: Top 58%
Legal Studies and Policies
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Studi Komprehensif Keamanan Siber: Perbandingan Teknologi AI dengan Sistem Non-AI dalam Deteksi dan Pencegahan Ancaman — Rianto Rianto, EIH Ujianto, et al. · Jurnal Komtika (Komputasi dan Informatika) (2025) | TGRS Research Map | TGRS