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All Journal INFORMAL: Informatics Journal International Journal of Electronics and Communications Systems
Prabowo, Basit Adhi
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Computer Science & IT Electrical & Electronics Engineering

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Optimalisasi Layanan Keamanan Captive Portal Menggunakan Klasifikasi Logistic Regression Riadi, Imam; Fadlil, Abdul; Prabowo, Basit Adhi
INFORMAL: Informatics Journal Vol 9 No 3 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i3.44189

Abstract

Privacy has become a major concern with the rapid adoption of various smart devices and internet connections. The randomized MAC (Media Access Control) address for each device was implemented for privacy. Problems arose when implementing randomized MAC addresses on captive portals with connection limitations per user. Random classification by VOUI of the device used to assist the device elimination decisions in the captive portal. MAC address data was obtained from devices connected to the captive portal. The data is processed to be grouped into two separate classes, whether random or not, with four device Mac address threshold and four random percentage threshold. Logistic regression was used to determine the classification with the highest level of accuracy. Of the 16 experiments, it was found that all of them had an accuracy above 92%. The maximum accuracy of 95% was obtained in an experiment using a Mac address threshold of 6 and a random percentage threshold of 50%. This indicates that a value of 6 for the Mac address threshold and a value of 50% for the random percentage threshold can be used for random Mac address classification.
Evacuation Route Optimization for Volcanic Hazards Using Ant Colony Metaheuristics and Mobile GIS Aziz, Muhammad; Prabowo, Basit Adhi
International Journal of Electronics and Communications Systems Vol. 5 No. 2 (2025): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v5i2.29349

Abstract

Effective evacuation planning in volcanic areas requires real-time spatial awareness, community integration, and algorithm validation. This study aims to introduce SVACO-GIS, an innovative system that integrates Ant Colony Optimization (ACO), Geographic Information Systems (GIS), and the Sister Village framework to optimize evacuation routes under volcanic hazard conditions by identifying safe and efficient evacuation routes and strengthening community-based evacuation planning. The research applies the SVACO-GIS approach using a multi-parameter asymmetric heuristic matrix that incorporates slope, river distance, red zone exclusion, shelter readiness, and population density to better represent real-world constraints and safety priorities. Simulation results show that the application of SVACO-GIS produces structurally different evacuation route patterns compared to the shortest path-based approach. Routes optimized with SVACO-GIS consistently avoid major river corridors and areas with high slope gradients previously identified as high-risk zones in the context of Mount Merapi eruptions. The resulting evacuation network is directional and does not allow movement back toward zones with higher hazard levels, aligning with the one-way evacuation principle of the Sister Village system. The integration of local wisdom with intelligent spatial computing improves evacuation efficiency and sets a replicable standard for disaster preparedness in other high-risk geographies. These findings suggest that SVACO-GIS can support more informed decision-making, strengthen the resilience of vulnerable communities, and guide the development of intelligent evacuation systems in volcanic regions in the future
Co-Authors Abdul Fadlil Imam Riadi Muhammad Aziz