Published: 2024-12-12
Keamanan Jaringan dan Pengaruhnya terhadap Statistika: Pendekatan Analitik dan Praktis
DOI: 10.35870/ljit.v3i1.3454
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Abstract
Network security is a critical aspect of information technology aimed at protecting data and systems from cyber threats. Statistical approaches play a key role in detecting anomalies, measuring efficiency, and predicting security risks. This paper explores the intersection between network security and statistics, emphasizing the use of data analysis and statistical methods to enhance system security. Furthermore, it discusses the challenges posed by big data processing and highlights the importance of machine learning in supporting adaptive security systems. The findings suggest that integrating traditional statistical methods with modern machine learning techniques can improve real-time threat detection and risk management in network security.
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Article Information
This article has been peer-reviewed and published in the LANCAH: Jurnal Inovasi dan Tren. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 3 No. 1 (2025)
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Section: Articles
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Published: %750 %e, %2024
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/ljit.v3i1.3454
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Jhosua Ersa Arta Pratama
Teknik Informatika, Universitas Palangkaraya, Kota Palangkaraya, Indonesia
Jhon Farel Manurung
Teknik Informatika, Universitas Palangkaraya, Kota Palangkaraya, Indonesia
Rizki Muhamad
Teknik Informatika, Universitas Palangkaraya, Kota Palangkaraya, Indonesia
Jadiaman Parhusip
Teknik Informatika, Universitas Palangkaraya, Kota Palangkaraya, Indonesia
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