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All Journal JURNAL BARUNA HORIZON Jurnal Informasi Sains dan Teknologi (ISAINTEK) Journal of Practical Computer Science (JPCS) Jurnal Maritim Malahayati Jurnal Indonesia Sosial Sains Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research Scientica: Jurnal Ilmiah Sains dan Teknologi
Yudianto, Prima Yudha
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Analysis of Data Communication Networks for VTS Surabaya in Class I Type A Navigation District Tanjung Perak Yudianto, Prima Yudha; Robbi, Shofa Dai; Dahri, Muhammad
Jurnal Indonesia Sosial Sains Vol. 5 No. 11 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i11.1505

Abstract

A reliable data communication network is essential in supporting Vessel Traffic Service (VTS) operations, especially in managing vessel traffic in the Class I Navigation District of Tanjung Perak, Surabaya. However, challenges such as network reliability, bandwidth capacity, and potential interference are still obstacles in ensuring efficient operations. This research aims to analyze the condition of the data communication network at the Tanjung Perak Class I Navigation District VTS, focusing on the technology used, its performance, and the obstacles faced. This research uses a qualitative descriptive approach, with data collected through direct observation, interviews with VTS operators, and analysis of related documents. The results show that the communication network at VTS uses Very High Frequency (VHF) frequency-based radio communication technology to support operations, such as digital maps of ship traffic and Automatic Identification System (AIS) systems. In conclusion, the data communication network at the Tanjung Perak Class I Navigation District VTS has met basic operational needs, but still requires further development in terms of technology and infrastructure to improve its efficiency and reliability. This research provides recommendations for the integration of advanced technology, infrastructure improvement, and human resource training to optimize the performance of the communication network.
Analisis Big Data Kesiapan Digital Global Menggunakan PCA dan FASTCLUS Setiawan, Ariyono; Yudianto, Prima Yudha; Ika, Ni Made; Masdiyas, I Gede Susrama
Journal of Practical Computer Science Vol. 5 No. 2 (2025): November 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v5i2.6075

Abstract

This study aims to identify global digital readiness patterns using an innovative big data approach by integrating Principal Component Analysis (PCA) and the FASTCLUS clustering algorithm. By analyzing 1,076 observations from 2000 to 2023, this study focuses on four key indicators: secure server deployment and ICT infrastructure index. Referring to the Digital Readiness Framework, this study positions digital infrastructure and cybersecurity as the foundation of national digital capacity. PCA results show that two main components explain 56.35% of the total variance, and the clustering process produces strong segmentation with Pseudo F = 1275.85 and R² = 70.4%. Three digital readiness clusters were successfully identified: advanced (4 countries), moderate (64 countries), and transitional (1008 countries), each exhibiting distinct infrastructure and digital index characteristics. This study contributes a replicable, globally scalable classification framework for comparing digital readiness across countries. Its originality lies in the integration of big data techniques and unsupervised learning into national digital readiness assessments. These findings are important for supporting data-driven digital policy formulation, particularly for developing countries in designing more precise and contextual ICT resource allocation strategies.
Co-Authors Barbyanavy, Dinda Ayu Dani, Hanif Rahman Dwi Sasmita, Yanuar Rangga Faris Nofandi Gunarti, Monika Retno Ika, Ni Made Kristiyono, Antonius Edy kuncorojati, wanda dwi Masdiyas, I Gede Susrama Muhammad Dahri, Muhammad Nasri Nasri, Nasri Nisa, Sayyidatun Nugraha, Francisco Crisna Agung Nugroho, Azis Panggayuh, Fazel Gendran Pranata, Yayang Andhika Cahya Pranata Prawoto, Agus Prayogi, Setiawan Bagus Putri, Indah Ayu Johanda Rakhman, Rizki Aini Ramadhanti, Syaharani Eka Rizqi Aini Robbi, Shofa Dai Setiawan, Ariyono Sianturi, Intan Simatupang, Rama Syahputra Trisnowati Rahayu ZAINUDDIN, MOCHAMMAD