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All Journal INTECOMS: Journal of Information Technology and Computer Science
Sahrul Ramadhan
Universitas Pamulang
Computer Science & IT

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Evaluasi Kinerja Database Relasional dan Layanan Cloud Storage Untuk Transmisi Data Media Dalam Jaringan Andhi Saputro; Sahrul Ramadhan; Rendinis Rendinis; Oktifar Tri Bandono; Ahmad Muhammad; Toyyibah T
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 3 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i3.10584

Abstract

Transmisi data media menjadi semakin penting dengan adanya pertumbuhan konten multimedia yang besar dan beragam. Database relasional, seperti MySQL, dan layanan cloud storage, seperti Amazon S3, adalah dua pilihan utama untuk penyimpanan dan transmisi data media. Studi ini mengusulkan metodologi untuk membandingkan kinerja kedua sistem berdasarkan kecepatan transmisi, reliabilitas, skalabilitas, keamanan, biaya, dan kemudahan integrasi dengan infrastruktur jaringan yang ada. Metodologi ini mencakup pengumpulan data empiris dari skenario pengujian yang dirancang untuk mensimulasikan kondisi nyata dalam penggunaan aplikasi multimedia. Penelitian ini bertujuan untuk mengevaluasi dan membandingkan kinerja database relasional dan layanan cloud storage dalam konteks transmisi data media pada sistem jaringan. Hasil penelitian diharapkan dapat memberikan panduan yang bermanfaat bagi pengembang dan administrator jaringan dalam memilih solusi penyimpanan data yang optimal untuk aplikasi media mereka. Selain itu, penelitian ini diharapkan dapat memberikan kontribusi pada literatur akademik di bidang jaringan komputer dan manajemen data dengan menyediakan pemahaman yang lebih mendalam tentang perbandingan kinerja antara database relasional dan layanan cloud storage.
ANALYSIS OF THE EFFECTIVENESS VALUE OF IMPLEMENTING THE TWO-TIER DECEPTION-DRIVEN SECURITY MODEL IN CYBER SECURITY SYSTEMS Sahrul Ramadhan; Agung Budi Sutanto; Arya Adhyaksa Waskita
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 2 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/h9n89079

Abstract

The increasing complexity of cyber attacks, especially Brute Force and SQL Injection, poses a significant risk to production environments. Conventional reactive security measures are often unable to provide sufficient understanding regarding the behavior of attackers. This study designs and analyzes a "Two-Tier Deception Architecture" aimed at improving early warning capabilities without sacrificing the integrity of the production system. This architecture physically and logically separates the production environment as Tier 1 and the deception-based laboratory environment as Tier 2. By utilizing a combination of Fail2Ban and NFTables, the system stealthily redirects traffic from detected malicious actors to a separate environment hosting the Cowrie and DVWA honeypots. All security logs are collected and analyzed using a centralized ELK Stack SIEM. Evaluation using a curated dataset of 100 samples (consisting of 60 legitimate activities and 40 malicious activities) achieved a detection and redirection accuracy of 95%. The system demonstrates minimal resource usage on the production server while providing precise threat intelligence. This research shows that the inclusion of a deception tier within standard infrastructure substantially strengthens proactive defense and incident response effectiveness.
Co-Authors Agung Budi Sutanto Ahmad Muhammad Andhi Saputro Arya Adhyaksa Waskita Oktifar Tri Bandono Rendinis Rendinis Toyyibah T