Abstract:
This research was prompted by the suboptimal inspection and monitoring system for hold
conditions on the MV. Lumoso Karunia IX, which still relies on manual visual inspections. This
method has limitations in terms of accuracy and continuity, and is unable to provide real-time
information regarding temperature and humidity conditions inside the holds. This has the
potential to cause delays in detecting changes in environmental conditions that could affect
cargo quality and the efficiency of the loading process. The objective of this study is to analyse
the application of an Internet of Things (IoT)-based monitoring system to improve the
effectiveness of hold condition monitoring and support efficiency in the bulk cargo loading
process.This research employs a qualitative approach, utilising data collection techniques such
as direct observation, interviews and documentation during the course of the sea training. The
data obtained was analysed descriptively to identify the issues encountered and to evaluate the
implementation of an IoT-based monitoring system as a solution. The research findings indicate
that the manual monitoring system currently in place is unable to provide information quickly
and accurately, which could potentially lead to delays in decision-making during the loading
process. Furthermore, the limited manpower and time available for conducting direct
inspections inside the holds present a major obstacle. The implementation of an IoT-based
monitoring system enables real-time and continuous monitoring of temperature and humidity,
allowing the crew to monitor the hold’s conditions via monitoring devices without the need for
direct inspections. This results in improved efficiency in terms of time and manpower, whilst
supporting the smooth operation of the bulk cargo loading process.
