Work

Development of an IoT-Based Ship Engine Performance Monitoring System to Enhance Operational Efficiency

Year: 2025

Type: article

Abstract: This research aims to develop an IoT-based ship engine performance monitoring system to enhance operational efficiency in marine vessels. The study introduces a real-time monitoring prototype integrating sensors, microcontrollers, and cloud-based data visualization. The variables observed include engine temperature, RPM, and fuel consumption. The methodology follows a design and implementation approach, tested on a diesel-powered training ship over a two-week observation period. Data were collected continuously and analyzed to detect performance anomalies and efficiency trends. Results show that the system improves situational awareness and enables proactive maintenance decisions. The developed system has implications for reducing fuel costs, extending engine life, and supporting digital transformation in marine engineering operations

Source: Formosa Journal of Computer and Information Science

DOI: 10.55927/fjcis.v4i1.14134

Authors: Imam Sutrisno, Fahmi Umasangadji, Ardiansyah, Nafi Almuzani, Achmad Bashori, Urip Mudjiono, Projek Priyonggo, Endang Pudji Purwanti

Institution: Politeknik Perkapalan Negeri Surabaya

Language: English

Topic: Technical Engine Diagnostics and Monitoring

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4409297102

FWCI:

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