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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 Journal of Engineering Science and Technology Management Scientica: Jurnal Ilmiah Sains dan Teknologi HENGKARA MAJAYA
Yudianto, Prima Yudha
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Implementasi Alat Sensor Pelampung Suar Berbasis Internet Of Things (Io T ) Pada Sarana Bantu Navigasi Pelayaran (SBNP) Dwi Sasmita, Yanuar Rangga; Rakhman, Rizqi Aini; Yudianto, Prima Yudha; Nofandi, Faris
Innovative: Journal Of Social Science Research Vol. 5 No. 3 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i3.19310

Abstract

This study discusses the importance of Navigational Aids (SBNP) to ensure that vessels stay on a safe path when entering ports. A quantitative descriptive method with an Importance- Performance Analysis approach was used to measure the importance and performance of sensor tools based on ease, effectiveness, and credibility. The results show that the average importance value ranges from 4.0 to 5.0, while the performance value ranges from 3.3 to 4.7. Although the performance is quite good, several factors are still not optimal. The analysis shows that 6 out of 15 statements fall into the priority quadrant, indicating that some important factors meet user expectations, but improvements are needed in other areas. This study provides insights into the effectiveness and efficiency of SBNP in port navigation, with recommendations for performance improvements.
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.
Operational Performance Analysis of the Talud Tegak Wharf at the Public Port Owned by PT. Pelabuhan Indonesia (PELINDO) Gresik Dwi Surya, Akbar; Dahri, Muhammad; Yudianto, Prima Yudha; Rakhman, Rizqi Aini
Journal of Engineering Science and Technology Management (JES-TM) Vol. 6 No. 1 (2026): Maret 2026
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v6i1.405

Abstract

The Public Port of PELINDO Gresik is one of the strategic ports in East Java that functions as a major hub for regional cargo and logistics movement. Talud Tegak Wharf is one of the operational facilities that plays an important role in supporting cargo handling activities, particularly log timber commodities. This study aims to analyze the operational performance of Talud Tegak Wharf in supporting the smooth provision of port services. This research was conducted at Talud Tegak Wharf of the Public Port owned by PT Pelabuhan Indonesia (PELINDO) Gresik over a one-year observation period. The research employed a quantitative method using an operational performance analysis approach. Data were obtained through field observations and port operational records, analyzed then based on operational performance indicators, including vessel arrival trends, berthing time, cargo handling productivity, and berth utilization rate or Berth Occupancy Ratio (BOR). The analysis results were subsequently compared with port operational performance standards specified in the technical regulations of the Directorate General of Sea Transportation. The results indicate that the operational performance of Talud Tegak Wharf is in a good category. The average productivity of log timber cargo handling reached 63.52 m³/hour, exceeding the minimum operational performance standard. Meanwhile, the average BOR value of 82.04 percent indicates a high level of berth utilization while still remaining within safe limits. Overall, the analyzed operational performance indicators demonstrate that Talud Tegak Wharf has met the applicable port operational service performance standards at the Public Port of PELINDO Gresik
Comparison Of LCL Handling Charges At The Container Freight Station (CFS) Line 1 And Line 2 Depots Prasasti, Naiya; Dahri, Muhammad; Yudianto, Prima Yudha; Rakhman, Rizqi Aini
Journal of Engineering Science and Technology Management (JES-TM) Vol. 6 No. 1 (2026): Maret 2026
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v6i1.406

Abstract

Less than Container Load (LCL) is defined as cargo whose volume does not fill a full container and its movement requires allocation of LCL handling charges. This study aims to conduct a comparative study of LCL handling charges between Line 1 Container Freight Station (CFS) facilities and Line 2 depot facilities. Differences in operational locations and customs status between Line 1 CFS and Line 2 depots are predicted to cause variations in cost structures that directly affect the efficiency of the logistics supply chain. This study has three main objectives: identifying LCL service procedures, analyzing the development of LCL throughput volume for the period 2021–2024, and comparing LCL handling charges between the two locations. The methodology used is quantitative with a descriptive approach. Data were obtained through observation, interviews, and document studies at the Commercial and Business Development Department. Data analysis involved calculating the Compound Annual Growth Rate (CAGR) to measure volume trends and descriptive comparative analysis to evaluate cost structures. The results show that LCL services are implemented through three main Job Orders: Receiving Service LCL (RSL), MIM, and Delivery Cargo. The LCL throughput trend shows a positive increase with a CAGR of 17.996%. Furthermore, the cost analysis results show that the Line 2 depot charges a higher LCL handling charge, which is around 26%–30% compared to the Line 1 CFS. Thus, the Line 1 CFS is proven to provide a competitive advantage for service users through a more efficient LCL charge handling structure.
Co-Authors Anak Agung Istri Sri Wahyuni Andries, Arnnold Hendrich Barbyanavy, Dinda Ayu Dani, Hanif Rahman Dwi Sasmita, Yanuar Rangga Dwi Surya, Akbar 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 Prasasti, Naiya 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 Sutralinda, Dety Trisnowati Rahayu ZAINUDDIN, MOCHAMMAD