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All Journal JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Penelitian Rumpun Ilmu Teknik
Asri Angel Tumanggor
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Social Sciences

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Penerapan K-Nearest Neighbors (KNN) dalam Memprediksi dan Menghitung Akurasi Data Penyakit Stroke Atika Haura Siregar; Asri Angel Tumanggor; Akhwan Rahmadani
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 4 (2023): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i4.3040

Abstract

Stroke is a disease characterized by a disruption in brain function caused by a lack of oxygen and blood flow to the brain, affecting various brain functions and causing difficulties in performing activities. The classification of stroke patients is still based on medical records that are not integrated, leading to a longer time for detection. The K-Nearest Neighbors (K-NN) algorithm is a part of machine learning that can be utilized to classify cases, including the classification of stroke patients. K-NN serves as the algorithm to determine classes and incorporate new data inputted in the specified format. In this study, the researcher aims to demonstrate that the classification algorithm of K-Nearest Neighbor with Bagging optimization can be used to determine if someone is affected by stroke. The predictions from this algorithm can facilitate decision-making in the healthcare field quickly.
IMPLEMENTASI FIREWALL FILTER RULES UNTUK KEAMANAN JARINGAN DAN METODE QUEUE TREE UNTUK MANAJEMEN BANDWIDTH PADA MIKROTIK Silvia Wulandari Situngkir; Sanri Yuliana Siallagan; Asri Angel Tumanggor; Dedy Kiswanto
Jurnal Teknologi Informasi dan Komputer Vol. 11 No. 2 (2025): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi Oktober 2025
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v11i2.3790

Abstract

Currently, almost all sectors of life such as offices, government agencies, educational institutions, and public services depend on the internet network as a means of supporting work and information exchange media. Optimal internet utilization can increase productivity. However, high internet usage needs to be balanced with effective bandwidth management. Unstructured bandwidth management can cause a decrease in internet access speed. In addition, network security aspects are also crucial in the implementation of computer networks. Negligence in this aspect can open a gap to network attacks or hacking. Therefore, a reliable firewall system is needed to support good network quality. One solution to overcome these problems is to implement a firewall and queue tree method using MikroTik devices. This approach can increase network performance and improve internet service quality. With proper grouping and restriction of data traffic, network usage becomes more controllable, reduces the risk of bandwidth overload, and creates a more secure and equitable network environment. The implementation was carried out using a MikroTik RB941-2nD router and Winbox software, with configurations that included router settings, filter rules, and queue trees. The results of the implementation show that bandwidth management and filtering access to sites containing adult content and online gambling can run effectively.
Co-Authors Akhwan Rahmadani Atika Haura Siregar Dedy Kiswanto Sanri Yuliana Siallagan Silvia Wulandari Situngkir