Publisher

UMBUMB

Journal SINERGISINERGI Abstract

The Sriwijaya University internet network management unit does not yet have a standard formulation for implementing Bandwidth Management & Bandwidth Allocation. To provide the best service, they apply the Best-Effort Service concept. As a result, it requires a relatively large network capacity and bandwidth provision so that it has an impact on costs. Therefore, it is necessary to know how users use internet bandwidth as the basic principle of Bandwidth Management & Bandwidth Allocation. This study has completed how to determine the behavior of internet users on the campus LAN as a reason to evaluate internet bandwidth usage. With the Process Mining method, process mapping has been carried out for all access to internet usage from all faculties. As a result, the factors that characterize and need to be considered in bandwidth management are obtained. In order of significance are Total Access Length, Average Variance, Number of User Case IDs, Number of Non-Academic Ports, Number of Academic Ports, Number of Access Frequency, Number of Events, and Number of Ports of Service.

Conclusion

This research successfully modeled the behavior of internet users utilizing the Sriwijaya University LAN network by mapping the user access process from beginning to end.The study identified key factors characterizing user behavior that can serve as a standard formulation for Bandwidth Management and Bandwidth Allocation.These factors, in order of significance, include Total Access Length, Average Variance, Number of User Case IDs, Number of Non-Academic Ports, Number of Academic Ports, Number of Access Frequency, Number of Events, and Number of Ports of Service.

Future Research

Penelitian lanjutan dapat dilakukan dengan mengembangkan model prediktif penggunaan bandwidth berdasarkan data historis yang diperoleh dari process mining. Hal ini memungkinkan alokasi bandwidth yang lebih dinamis dan adaptif terhadap kebutuhan pengguna. Selain itu, studi lebih lanjut dapat mengeksplorasi penerapan teknik machine learning untuk mengidentifikasi anomali dalam pola penggunaan bandwidth, yang dapat mengindikasikan potensi ancaman keamanan atau masalah kinerja jaringan. Terakhir, penelitian dapat difokuskan pada pengembangan sistem rekomendasi otomatis untuk konfigurasi bandwidth yang optimal, mempertimbangkan berbagai faktor seperti jenis aplikasi, prioritas pengguna, dan kapasitas jaringan yang tersedia, sehingga meningkatkan efisiensi dan kualitas layanan jaringan secara keseluruhan.

References

1. Preliminary Study of Potential Bioimplant from Glycerol Plasticized Starch-Microcrystalline Cellulose... doi.org/10.51662/jiae.v1i1.10Preliminary Study of Potential Bioimplant from Glycerol Plasticized Starch Microcrystalline Cellulose doi 10 51662 jiae v1i1 10
2. The process mining method approach to analyze users’ behavior of internet in the Local Area Network... doi.org/10.22441/sinergi.2022.2.003The process mining method approach to analyze usersAo behavior of internet in the Local Area Network doi 10 22441 sinergi 2022 2 003

Metadata

File size	774.57 KB
Pages	10
DMCA	Report