Skripsi

IMPLEMENTASI NETWORK AUTOMATION UNTUK OPTIMASI BANDWIDTH PADA JARINGAN KOMPUTER

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Penilaian

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Bandwidth optimization is a crucial aspect in supporting network performance, especially when dealing with dynamic traffic. This research develops a Network Automation system based on Python, utilizing the Paramiko library, which is capable of performing automatic and adaptive configurations by implementing Load Balancing methods using Per Connection Classifier (PCC) techniques. Four testing scenarios were conducted to compare the effectiveness of manual and automated configurations under normal conditions as well as under high load. The results of the study indicate an increase in throughput from 2.92 Mbps to 11.98 Mbps, alongside a reduction in packet loss from 22.8% to 2.1%. In extreme scenarios, the system successfully maintained packet loss at 2.9%, despite an increase in delay reaching up to 7,199.7 ms. Furthermore, the system is equipped with real-time notifications via Telegram, informing the administrator when there is a spike in CPU usage, thereby facilitating a prompt response. With this approach, network administrators no longer need to perform manual configurations, but can rely on a responsive and efficient system. Keywords: Network Automation, Bandwidth, Load Balancing, PCC, Python, Paramiko, Computer Network.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507003410	T175707	T1757072025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1757072025

Publisher

Palembang : Prodi Teknik Komputer DIII, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xvi, 155 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

005.307

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Teknik komputer

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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