Analysis of Enterprise Network Performance Using the SNMP (Simple Network Management Protocol) Method

Views icon

599

Views

Downloads icon

483

Downloads

Altmetrics icon

Altmetrics

Abstract

This study examines the implementation of the Simple Network Management Protocol (SNMP) integrated with the Cacti monitoring platform to evaluate enterprise network performance within a simulated environment using PNETLab. A quantitative approach was applied through continuous data collection and measurement of key performance indicators such as throughput, packet loss, delay, and availability. The experiment utilized virtual Mikrotik routers connected to an Ubuntu-based Cacti server configured for SNMP polling and RRDTool data storage. Real-time visualization enabled efficient tracking of network behavior and early detection of anomalies. The results showed that under normal conditions, the network achieved stable performance with throughput between 70–90% of link capacity, zero packet loss, latency below 150 milliseconds, and availability above 99%, meeting ITU-T/TIPHON Quality of Service (QoS) standards. When faults were simulated, the system accurately detected and displayed traffic interruptions, allowing rapid identification and resolution of network issues. Compared with other monitoring tools such as Zabbix and Nagios, the SNMP–Cacti integration proved simpler to configure while maintaining analytical precision and reliability. These findings confirm that Cacti, supported by SNMP, provides an efficient, scalable, and low-overhead solution for enterprise network monitoring. Future development may incorporate SNMPv3 for enhanced security and automated alert systems or predictive analytics to improve responsiveness and proactive maintenance in larger infrastructures.

Author Biographies

How to Cite

Alwanto, H., & Yel, M. B. (2025). Analysis of Enterprise Network Performance Using the SNMP (Simple Network Management Protocol) Method. Journal Innovations Computer Science, 4(2), 335-344. https://doi.org/10.56347/jics.v4i2.346

Article Details

  • Volume: 4
  • Issue: 2
  • Pages: 335-344
  • Published:
  • Section: Article
  • Copyright: 2025
  • ISSN: 2961-970X

License

Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY 4.0). This means that users may share and adapt the articles published on this website in a reasonable manner, but they must give appropriate credit to the creator and indicate the changes they have made. Users must not apply additional restrictions, but must publish the work under the same license (CC-BY 4.0).

Similar Articles

Similar Articles

Discover other articles with topics similar to what you're currently reading. Find more references and expand your knowledge base.

Related Articles You May Be Interested In

More Similar Articles

Optimization of SMOTE Application for Classification...

Fauzan Ibnu Sarky, Edhy Poerwandono

Vol. 4 No. 2 (2025): November
Aplikasi Sistem Presensi Karyawan Secara Online Pada PT...

Jessy Imel Natasa Karo Sekali, NM Faizah, Lucky Koryanto

Vol. 3 No. 1 (2024): May 2024
IoT-Based Integrated Monitoring System for Household...

Muhammad Rizki Rivaldi, Fadillah Said

Vol. 4 No. 2 (2025): November
Perancangan Aplikasi Manajemen Akreditasi sebagai Layanan...

Muhammad Wali , Syarifuddin, Taufiq Iqbal, Abdus Salam

Vol. 1 No. 1 (2022): May 2022
Most read articles by the same author(s)

Related Articles

Article

Public Sentiment Analysis on Instagram...

Journal Innovations Computer Science: Vol. 4 No. 2 (2025): November

Putri Salfa Dhiyaa Azzizah, Mesra Betty Yel

Article

Implementation of C4.5 Algorithm for Student...

Journal Innovations Computer Science: Vol. 4 No. 2 (2025): November

Hanna Sabilla Rifai, Mesra Betty Yel

Article

Enhancing Student Learning Engagement Through...

Journal Innovations Computer Science: Vol. 4 No. 2 (2025): November

Musalim Yusuf, Mesra Betty Yel