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Quality of Service (QoS) Analysis of the Internet Network at Diskominfo Bengkayang Regency Sari, Maya; Cahyaningtyas, Christian; Nurcahyo, Azriel Christian
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 3 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i3.207-216

Abstract

The rapid growth in internet usage in recent years has placed significant demands on network service quality. Technological developments and increasingly complex communication needs have made it important to improve the Quality of Service (QoS) of internet networks at Diskominfo Bengkayang Regency. Optimal Quality of Service is essential to support critical applicationssuch as video conferencing, streaming, and other real-time applications. Obstacles such as high latency, low throughput, and lack of prioritization in traffic management can hinder the user experience and reduce service effectiveness. By optimizing QoS, not only does it ensure that critical services receive the appropriate priority, but it also improves the overall efficiency of network resource usage. The involvement of this prioritization scheme in the network infrastructure provides a holistic solution, combining a deep understanding of latency, throughput, and prioritization needs. All of this is done in an effort to optimize QoS so that users can enjoy a good experience when using internet access.
Classification of Simulated Fake Bandwidth Data Using LSTM Azriel Christian Nurcahyo; Alan Ting Huong Yong; Abdulwahab Funsho Atanda
TEPIAN Vol. 5 No. 3 (2024): September 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v5i3.3106

Abstract

Hardly will someone acknowledge that the bandwidth we use every day is as authentic as most ISPs advertise, even those offering dedicated services. There are usually shortcomings, especially on upload and download bandwidth speeds. This paper presents the classification of simulated fake bandwidth data using the Long Short-Term Memory model, which though seldom found, is a very effective approach in network analysis. There were 1400 bandwidth data points collected from the MikroTik RB 1100 AHx device in a month, then further processed with normalization, and divided to have 80% training and 20% testing. The LSTM model applied had an accuracy rate of 98.93%, proving that it is capable of classifying either genuine or fake bandwidth instances accordingly. Of 1,400 test data points, the model managed to classify 723 as fake bandwidth and another 677 as genuine, resulting in a classification error rate of only 1.07%. The results clearly prove that LSTM has huge potential for real-time bandwidth manipulation detection, key to enhancing trust and efficiency in network management. In this respect, this research shows that bandwidth analysis combined with LSTM can be an original solution for network monitoring
Optimization of data integration using schema matching of linguistic-based and constraint-based in the university database Rifqi Hammad; Azriel Christian Nurcahyo; Ahmad Zuli Amrullah; Pahrul Irfan; Kurniadin Abd. Latif
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 11 No. 3 (2021): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i3.119-129

Abstract

University requires the integration of data from one system with other systems as needed. This is because there are still many processes to input the same data but with different information systems. The application of data integration generally has several obstacles, one of which is due to the diversity of databases used by each information system. Schema matching is one method that can be used to overcome data integration problems caused by database diversity. The schema matching method used in this research is linguistic and constraint. The results of the matching scheme are used as material for optimizing data integration at the database level. The optimization process shows a change in the number of tables and attributes in the database that is a decrease in the number of tables by 13 tables and 492 attributes. The changes were caused by some tables and attributes were omitted and normalized. This research shows that after optimization, data integration becomes better because the data was connected and used by other systems has increased by 46.67% from the previous amount. This causes the same data entry on different systems can be reduced and also data inconsistencies caused by duplication of data on different systems can be minimized.