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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Arif, Sulthan Cendikia
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Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Pengenalan Bahasa Isyarat Bahasa Indonesia Real-time Menggunakan Metode SP-Tree Sofyan, Arief; Alwanto, Hilmi; Arif, Sulthan Cendikia
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 2 (2025): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i2.1371

Abstract

Real-time Indonesian sign language recognition faces several challenges, the most prominent of which is the diversity of hand gestures and different expressions. Often, automated systems face difficulties in interpreting these highly variable gestures, which in turn results in decreased recognition accuracy and efficiency. To improve the performance of sign language recognition in this study, the SP-Tree method is proposed, which utilizes a spatial tree structure to group hand gesture data based on spatial and temporal features. This allows for a faster and more accurate sign language recognition process. It is expected that this technique can accelerate sign language recognition with a high level of accuracy and real-time response, which is very important for everyday applications. We used a public dataset covering various hand gestures in Indonesian sign language to test this technique. The results showed that the SP-Tree method had an accuracy of 92 percent, an F1 score of 0.90, and a feature loss of 0.08. Compared with existing conventional sign language recognition techniques, these figures show significant improvements. The results indicate that the SP-Tree method is an effective way to identify Indonesian signs in real-time. This method has the advantage of being able to interpret and group hand gestures more precisely and efficiently, improving the interaction between the user and the system. We hope that this research will help develop assistive technology for people with hearing disabilities. In the future, it will also provide opportunities to use this technique in other sign languages.
Optimasi Access Control List (ACL) Jaringan dalam Menangkal Akses Ilegal Jaringan Cisco Arif, Sulthan Cendikia; Surapati, Untung; Akbar, Yuma; Hidayat, Aditya Zakaria
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1606

Abstract

This study examines how to block unauthorized access while keeping services available in an enterprise network. The approach combines Access Control Lists (ACLs) allow/deny rules on routers and Policy-Based Routing (PBR), which steers specific traffic without changing the main routing setup. The object of study is a lab simulation with four understandable parts: a central network (head office), an applications/services network, a provider/carrier network, and an external network (internet/partners). The method evaluates three scenarios: baseline, ACL, and ACL + PBR, in a virtual environment using straightforward measurements (ping, traceroute, and rule/route activity logs). Results show the internal subnet is closed in both directions as required; the legitimate path from the central network to the services network remains available and balanced via the provider network; there is no route leakage from the external network to unauthorized areas; and PBR successfully guides specific flows without disrupting the primary path. In conclusion, combining ACL + PBR effectively strengthens security while maintaining service availability, serving as a practical guide for multi-domain enterprise networks.
Co-Authors Akbar, Yuma Alwanto, Hilmi Hidayat, Aditya Zakaria Sofyan Arief Surapati, Untung