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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

PENILAIAN RESIKO KEAMANAN APLIKASI WEB MENGGUNAKAN STANDAR ISO/IEC 27005 : 20022 PADA LAYANAN ORGANISASI: PENILAIAN RESIKO KEAMANAN APLIKASI WEB MENGGUNAKAN STANDAR ISO/IEC 27005 : 20022 PADA LAYANAN ORGANISASI Chandra, Nungky; Mohamad Yusuf
Computer Science and Information Technology Vol 6 No 2 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i2.9994

Abstract

The problem of information security vulnerability and threat risks is increasing, so it is necessary to be able to analyze the risk situation of future information security threats and vulnerabilities, especially for application services of a community organization. Research on the application of information security risk analysis based on the ISO/IEC 27005: 2022 framework in an organization's service applications. ISO/IEC 27005: 2022 is an international standard used for guidelines for implementing the most effective information security risk analysis process compared to other information security risk assessment method frameworks. The results of the assessment are to measure the level of information security risk of an organization's service application so that it can be used as material for improvements in carrying out information security prevention and control measures so that vulnerability gaps and threats of information security attacks can be reduced. The results of this study can describe the risk value in the organization's service application with 3 high-risk categories, namely in financial transaction data (risk value 20), customer database (risk value 16), and server configuration (risk value 15). And medium risk values are found in public APIs (risk value 12) and internal report data (risk value 6).
PENERAPAN VICTORIAMETRICS SEBAGAI TIMESERIES DATABASE UNTUK MONITORING KLASTER KUBERNETES Roby Yasir Amri; Nungky Awang Chandra; Mohamad Yusuf
Computer Science and Information Technology Vol 7 No 1 (2026): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v7i1.10869

Abstract

Infrastructure monitoring is a critical component in managing Kubernetes clusters, particularly for ensuring service availability and analyzing system performance. As the complexity and scale of infrastructure increase, monitoring systems are required to efficiently handle large volumes of metric data. This study aims to analyze the performance of VictoriaMetrics as a time-series database within Kubernetes monitoring systems and compare it with Prometheus based on resource usage. The research employs a quantitative approach with benchmark experiments conducted under three load scenarios: 500, 750, and 1000 target hosts. The analyzed parameters include CPU usage, memory consumption, and storage capacity. The results indicate significant differences in resource efficiency, where VictoriaMetrics maintains CPU usage between 2–10% across all scenarios, substantially lower than Prometheus, which reaches 12–24%. In terms of memory consumption, VictoriaMetrics requires only 21–27%, whereas Prometheus increases to 41–67%. For storage usage, VictoriaMetrics consumes 5–13 GB, while Prometheus requires 13–45 GB. These findings are expected to serve as a reference for organizations in selecting an appropriate monitoring solution that aligns with their Kubernetes infrastructure scale and requirements.