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All Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
Luh Gede Astuti
Magister of Informatic, Udayana University, Denpasar, Indonesia
Computer Science & IT Education Engineering

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AI-Based IPTV Monitoring System for Optimizing Hospitality Entertainment Services: A Case Study of Radisson Blu Uluwatu Bali Sidin Rahman; Luh Gede Astuti; Cokorda Pramartha; I Ketut Gede Suhartana; Anak Agung Ngurah Istri Eka Karyawati; I Made Widiartha
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 15 No. 2 (2026)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v15i2.115194

Abstract

This study proposes an intelligent IPTV monitoring system aimed at enhancing service reliability and operational performance in hospitality environments. The system integrates multicast IPTV monitoring and Chromecast tracking with the Random Forest algorithm to identify, classify, and handle service disruptions automatically. Developed using the Design Science Research methodology, the system was evaluated through Quality of Service (QoS) and Mean Opinion Score (MOS) measurements. The findings show that the proposed model achieves an accuracy rate of 94.37% while improving several network performance indicators, including lower delay, reduced packet loss, and higher throughput. In addition, the implementation of real-time notifications helps accelerate response handling and supports more efficient operational processes. By combining AI-based monitoring with multicast and Chromecast technologies, the proposed approach provides a practical and scalable solution for improving digital entertainment services in real hospitality operations.
Co-Authors Anak Agung Ngurah Istri Eka Karyawati Cokorda Pramartha I Ketut Gede Suhartana I Made Widiartha Sidin Rahman