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Transisma Budiarta
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Perancangan Sistem Klasifikasi Jenis Konten QR Code Berbasis Analisis Data untuk Validasi Keamanan Tautan: Rekayasa Keamanan Siber Nico Fahrul; Jeki Saputra; Transisma Budiarta
Jurnal Telkommil Vol 6 No 2 (2025): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v6i2.601

Abstract

Tujuan dari penelitian ini adalah merancang dan mengevaluasi sistem klasifikasi konten QR Code dengan menggunakan analisis data untuk mendukung proses validasi keamanan link. Kode QR kini telah diadopsi secara luas di berbagai sektor, mulai dari penyediaan akses informasi, transaksi keuangan berbasis digital, hingga pertukaran data kontak. Namun, kemudahan penggunaannya sering dimanfaatkan pihak tidak bertanggung jawab untuk menyebarkan tautan berbahaya atau konten yang tidak aman. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan prosedur pengumpulan data QR Code yang berasal dari berbagai sumber, analisis struktur dan pola konten, serta identifikasi potensi risiko keamanan yang terkandung. Sistem yang dirancang difokuskan untuk mengenali kategori konten seperti URL, pembayaran, email, teks, telepon, dan vCard, serta melakukan proses validasi keamanan tautan yang teridentifikasi. Hasil analisis menunjukkan bahwa sistem ini dapat membantu mengidentifikasi tipe konten QR Code dan memberikan informasi keamanan yang bermanfaat bagi pengguna sebelum melakukan akses. Kesimpulan penelitian menegaskan bahwa penerapan sistem ini dapat menjadi upaya preventif dalam mengurangi risiko ancaman keamanan digital berbasis QR Code. Saran pengembangan ke depan adalah mengintegrasikan sistem dengan basis data ancaman siber terkini untuk meningkatkan ketepatan analisis dan validasi keamanan.
Design and Development of a One-Time-Use Dynamic QR Code System with an Anti-Screenshot Mechanism in a Web-Based Event Guest Book Application to Enhance Attendance Verification Security: Rekayasa Keamanan Siber fyogaari23; Heri Setiawan; Transisma Budiarta
Jurnal Telkommil Vol 7 No 1 (2026): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increasing use of QR codes in daily life has created opportunities for cyber threats, such as the insertion of malicious URLs that are difficult for average users to recognize. This research aims to qualitatively analyze best practices in URL security detection extracted from QR codes, particularly focusing on artificial intelligence (AI) approaches and the integration of digital audit systems. A systematic literature review method was applied, drawing from internationally indexed publications and thematic observations about user behavior and threat detection technologies for phishing and malware. Findings indicate that AI-based detection systems effectively identify security threats earlier and more accurately, especially when combined with user education features and activity logging through the Wazuh/ELK Stack. However, human error due to limited digital security literacy remains a major challenge. The study concludes that integrating automated detection technologies, user education, and digital auditing is crucial to mitigating cyberattacks via QR codes. Development of adaptable tools for emerging threat patterns and behavior-based user education strategies are recommended to enhance the national cybersecurity ecosystem.
Implementasi Sistem Konfigurasi Dasar Mikrotik Berbasis Desktop Wizard dengan Antarmuka Grafis untuk Setup Jaringan: Rekayasa Keamanan Siber dpurwanto; Yudhi Darmawan; Transisma Budiarta
Jurnal Telkommil Vol 7 No 1 (2026): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The configuration of MikroTik RouterOS devices through Winbox is still done manually with a modular-technical interface, which is time-consuming, error-prone, and difficult for non-technical users. This study aims to design and implement a desktop wizard application with a graphical user interface (GUI) for basic MikroTik configuration, utilize the RouterOS API for snapshot-based automation, and compare the ease of use and efficiency between the wizard system and manual Winbox configuration. The application was developed using Python with CustomTkinter as the GUI framework and communicates with MikroTik devices via RouterOS API on TCP port 8728. The system development follows the Waterfall method, covering requirements analysis, system design, implementation, and testing phases. Testing was conducted using Black Box Testing for functionality verification and System Usability Scale (SUS) for usability measurement, along with configuration time comparison between the wizard system and manual Winbox. Black Box Testing results show that all 8 configuration modules function correctly with a 100% success rate. The SUS evaluation yielded an average score of 78.5, categorized as “Acceptable (Good).” Time comparison testing demonstrates that the wizard system reduces configuration time by an average of 58.3% compared to manual Winbox configuration. This research concludes that the desktop wizard application effectively simplifies MikroTik configuration, provides snapshot-based rollback capability, and significantly improves both ease of use and efficiency for network administrators.