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All Journal INOVTEK Polbeng - Seri Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING
Andika Agus Slameto
Universitas AMIKOM Yogyakarta
Computer Science & IT

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Pengaruh Overclocking Processor AMD Ryzen 5 Pada Rendering Video Menggunakan Adobe After Effect Andika Agus Slameto
Jurnal Inovtek Polbeng Seri Informatika Vol 5, No 1 (2020)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.367 KB) | DOI: 10.35314/isi.v5i1.1240

Abstract

Abstract - Video projects in Adobe After Effect usually use a very large number of effects, so this can increase the duration of video rendering. One of the main components of a computer that is responsible for the performance of a computer when rendering is the processor. Efforts to improve processor performance can be done using the overclocking method. Overclocking can be done over UEFI or using the on-the-fly method on Windows 10 using AMD Ryzen Master application. Overclocking on the processor allows the processor to run faster than the default conditions. In this study, the author uses an AMD Ryzen 5 2400G processor. After overclocking the processor, stability testing will be performed using the Cinebench R20 five times in a row. After the video rendering is tested using Adobe After Effect and the results obtained in the form of the length of time required for rendering a video. The time needed for rendering the video is used as a reference for the author to find out how much increased performance after overclocking.
Performance Analysis of Suricata as an Intrusion Detection System (IDS) in Detecting Slowloris Attacks on Web Servers Andika Agus Slameto; Eka Marlina Kemala Sari
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12724

Abstract

Network security on web servers is a crucial element for ensuring service availability. Slowloris represents a low-rate variant of the Denial-of-Service (DoS) attack, leveraging HTTP connection handling mechanisms by submitting perpetually incomplete requests, which deplete server connection slots without necessitating high bandwidth. This study evaluated Suricata as an Intrusion Detection System (IDS) on an Apache web server through 50 controlled Slowloris attack simulations within a VirtualBox virtual environment running Ubuntu 24.04 LTS. Three performance parameters were analyzed: (1) Detection speed, quantified as the elapsed time from attack initiation to alert generation in fast.log; (2) Detection rate (True Positive Rate), determined via a confusion matrix; and (3) System resource consumption of the Suricata process (CPU, RAM, and bandwidth). Results indicated an average Detection time of 0.346 seconds (minimum 0.168 seconds, maximum 0.979 seconds), an average detection rate of 72.84% (minimum 50.00%, maximum 94.12%), a mean CPU increase of 5.22 percentage points (from 2.03% baseline to 7.25% under attack), a 6.39 MB (59.85 to 66.24 MB) increase in RAM, and a 256.72 kbps increase in bandwidth. No false positives were consistently observed across all 50 trials. Cross-parameter analysis uncovered a non-linear relationship between detection time and detection rate, with an empirically validated optimal detection-time range of 0.25 to 0.35 seconds associated with peak detection rates above 90%, and a positive correlation (r = 0.468) between attack bandwidth intensity and Detection accuracy. These findings confirmed Suricata’s effectiveness as a lightweight early-warning mechanism for Slowloris mitigation on standard-specification web servers.
Co-Authors Eka Marlina Kemala Sari