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Identifikasi Penyebab Tidak Optimalnya Kinerja Kompresor Terhadap Pengisian Botol Angin Di Kapal MV. HL Dalrymple Bay Fahrizal, Hasdan; Simatupang, Rama Syahputra; Yudianto, Prima Yudha; Kristiyono, Antonius Edy; Gunarti, Monika Retno
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 2 (2025): July 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i2.936

Abstract

Pengisian botol angin pada kapal merupakan proses vital untuk mendukung sistem air starting mesin utama dan bantu. Namun, pada kapal MV. HL Dalrymple Bay ditemukan indikasi penurunan kinerja kompresor, khususnya saat manuver, ditandai dengan lamanya waktu pengisian dan tekanan udara yang tidak mencapai standar. Permasalahan ini berisiko mengganggu operasional kapal secara keseluruhan. Penelitian ini difokuskan pada faktor yang menyebabkan turunnya kinerja kompresor pada proses pengisian botol angin, dan apa dampak dari penurunan kinerja tersebut terhadap efisiensi dan keselamatan operasional kapal. Penelitian ini menggunakan pendekatan kualitatif deskriptif. Pengumpulan data dilakukan melalui observasi langsung selama praktik laut selama 12 bulan, serta dokumentasi teknis lapangan. Data dianalisis untuk mengidentifikasi gejala, akar permasalahan, serta solusi teknis yang relevan. Ditemukan bahwa penyebab utama turunnya performa kompresor adalah sistem pelumasan yang tidak optimal, kebocoran pada cylinder head, serta keausan pada piston dan ring piston. Dampaknya adalah waktu pengisian botol angin menjadi lebih lama dari standar, serta munculnya potensi gangguan pada manuver kapal. Rekomendasi meliputi pelaksanaan perawatan berkala, penggantian komponen aus, serta peningkatan keterampilan kru melalui pelatihan teknis.   Filling the air bottle on the ship is a vital process to support the main and auxiliary engine air starting system. However, on the MV. HL Dalrymple Bay was found to indicate a decrease in compressor performance, particularly during maneuvering, characterized by long charging times and air pressure that did not reach the standard. This problem risks disrupting the overall operation of the ship. This study focuses on the factors that cause the decline in compressor performance in the process of filling air bottles, and what is the impact of this decrease in performance on the efficiency and operational safety of the ship. This study uses a descriptive qualitative approach. Data collection was carried out through direct observation during marine practice for 12 months, as well as technical field documentation. The data is analyzed to identify symptoms, root causes, and relevant technical solutions. It was found that the main causes of the decline in compressor performance were suboptimal lubrication systems, leaks in the cylinder head, and wear on the pistons and piston rings. The impact is that the time to fill the air bottle becomes longer than standard, as well as the appearance of potential interference with the ship's maneuvers. Recommendations include the implementation of periodic maintenance, replacement of worn components, and improvement of crew skills through technical training  
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.