Jurnal Penelitian Samudra

Digital Claim Readiness as a Mediating Factor Between Marine Cargo Insurance Coverage and Compensation Recovery in Indonesian Maritime Logistics

Veronika Saragih — 2026-07-13

The increasing complexity of global maritime logistics has intensified the importance of marine cargo insurance in mitigating financial losses arising from cargo damage, loss, and transportation delays. Despite the widespread adoption of marine cargo insurance, many cargo owners continue to experience difficulties in obtaining full compensation due to incomplete documentation, delayed claim submission, and limited digital integration among shipping stakeholders. Existing studies have primarily focused on legal liability and insurance coverage while paying limited attention to the operational readiness required to ensure successful compensation recovery.

This study investigates the relationship between marine cargo insurance coverage and compensation recovery by introducing Digital Claim Readiness (DCR) as a mediating construct. Digital Claim Readiness refers to an organization's capability to prepare, verify, and submit insurance claims through integrated digital documentation, electronic cargo tracking, and real-time logistics information systems.

A quantitative research design was employed using Structural Equation Modeling (SEM-PLS). Data were collected from freight forwarders, shipping companies, cargo owners, marine surveyors, and insurance companies operating in major Indonesian ports. The proposed conceptual model evaluates the influence of insurance coverage quality, digital documentation systems, claim readiness, and insurer responsiveness on compensation recovery performance.

The study proposes that Digital Claim Readiness significantly mediates the relationship between insurance protection and compensation effectiveness. Organizations implementing integrated digital claim management systems are expected to achieve faster claim settlement, lower dispute rates, and higher compensation recovery ratios than organizations relying on conventional documentation procedures.

This research contributes to maritime insurance literature by introducing Digital Claim Readiness as a novel operational capability within marine cargo insurance management. The findings are expected to support the development of digital insurance ecosystems that improve transparency, operational efficiency, and risk management across maritime logistics.

The Effect of Operational Fishing Cost Management on Fishermen's Income in Pantai Labu and Percut Sei Tuan Districts

Tiffany Tetrin Rosalin Pasaribu — 2026-07-13

Akademi Maritim Belawan

tiffanybutarbutar22@gmail.com

Abstract

The fisheries sector plays an essential role in supporting the livelihoods of coastal communities. One of the major factors affecting fishermen's income is the effectiveness of operational fishing cost management. Poor cost management often leads to excessive operational expenditures, reducing net income despite favorable fishing yields. This study aims to examine the effect of operational fishing cost management on fishermen's income in Pantai Labu and Percut Sei Tuan Districts, Deli Serdang Regency, North Sumatra, Indonesia. This research employed a quantitative approach with an associative research design. The population consisted of 63 fishermen, while 51 respondents were selected using purposive sampling. Primary data were collected through structured questionnaires and analyzed using SPSS version 26. The analytical techniques included validity and reliability tests, classical assumption tests, simple linear regression analysis, and hypothesis testing using the t-test. The findings reveal that operational fishing cost management has a positive and statistically significant effect on fishermen's income. The regression equation obtained was Y = 3.376 + 0.729X, with a significance value of 0.000 (< 0.05). These results indicate that effective planning, recording, controlling, and evaluating operational fishing costs contribute significantly to increasing fishermen's income. Therefore, improving fishermen's financial management capabilities should become an important strategy for enhancing the economic welfare of coastal communities.

Development of an Artificial Intelligence-Based Decision Support System for Engine Room Watchkeeping Using Real-Time Machinery Parameters

Hendri Indra — 2026-07-13

Engine room watchkeeping requires continuous monitoring and rapid decision-making to ensure machinery reliability and ship safety. Conventional watchkeeping practices depend heavily on officers' experience and manual interpretation of machinery parameters, leading to delayed responses and increased risk of machinery failure. This study proposes an Artificial Intelligence-Based Decision Support System (AI-DSS) for engine room watchkeeping using real-time machinery parameters. The system integrates machine learning algorithms with operational data, including lubricating oil temperature, cooling water temperature, exhaust gas temperature, fuel consumption, and vibration signals. Data were collected from a marine engine simulator and ship operational records. Random Forest and Artificial Neural Network models were employed to predict machinery abnormalities and generate early warnings. The results indicate that the proposed system achieved a prediction accuracy of 94.6%, significantly improving anomaly detection compared to conventional monitoring methods. Furthermore, the developed Engine Room Watchkeeping Index (ERWI) provides a quantitative assessment of machinery conditions during watchkeeping operations. The proposed model can support marine engineers in making timely and accurate decisions, thereby improving operational safety and machinery reliability.

Construction of Entrepreneurial Indentity Among Maritime Transportation Student In The Digital Maritime Business Ecosystem

Marleny Syam — 2026-07-13

The rapid digital transformation of the maritime industry has fundamentally reshaped the career orientation of maritime transportation students, shifting their aspirations from conventional employment in the shipping industry toward technology-driven entrepreneurship. This transition has created a new digital maritime business ecosystem that not only generates economic opportunities but also facilitates the social construction of entrepreneurial identity. This study aims to examine the process through which maritime transportation students construct their entrepreneurial identity within the digital maritime business ecosystem and to identify the internal and external factors influencing this process.

A qualitative approach employing an interpretative phenomenological design was adopted. Data were collected through in-depth interviews with twelve maritime transportation students actively operating digital maritime businesses. Additional data were obtained from digital business documentation and observations of participants' social media activities. The collected data were analyzed using data reduction, thematic categorization, and contextual interpretation.

The findings reveal that entrepreneurial identity develops through three interconnected stages: identity exploration, social legitimization, and entrepreneurial role internalization. This process is shaped by the interaction between personal motivation, entrepreneurial self-efficacy, supportive entrepreneurial communities, and the utilization of digital ecosystems, including social media and maritime digital business platforms. Furthermore, digital transformation within the logistics and shipping industries has significantly influenced students' career preferences by encouraging technology-based entrepreneurial activities.

The study concludes that entrepreneurial identity in the context of digital maritime business represents a dynamic socio-digital construct emerging from the integration of entrepreneurial experience, digital presence, and ongoing industrial transformation. These findings contribute to the theoretical development of entrepreneurial identity research while offering practical implications for strengthening digital-based maritime entrepreneurship education in higher education institutions.

A Fractional-Order Thermodynamic Model for Entropy Generation and Heat Transfer Analysis in Marine Diesel Engines

ika sartika — 2026-07-13

Entropy generation and heat transfer analysis play essential roles in improving thermal efficiency and reducing energy losses in marine diesel engines. Conventional thermodynamic models are generally based on integer-order differential equations that cannot adequately represent memory and hereditary effects in thermal systems. This study proposes a novel fractional-order thermodynamic model using Caputo fractional derivatives to investigate heat transfer and entropy generation in marine diesel engines. A new mathematical parameter, namely the Fractional Entropy Generation Number (FEGN), is introduced to quantify system irreversibility. The proposed model is solved numerically using the fractional Adams-Bashforth-Moulton method. Simulation results indicate that the fractional-order model predicts thermal behavior more accurately than classical models and reveals significant effects of memory parameters on entropy generation and engine efficiency. The findings suggest that fractional thermodynamics can provide a new mathematical framework for analyzing complex thermal systems.