This study aims to examine the effect of idle time on the productivity of dry bulk loading and unloading activities at the Java Integrated Industrial and Port Estate (JIIPE). The research employed a quantitative correlational approach, with data collection techniques including observation, documentation, and company records. The research sample consisted of 12 vessels engaged in loading and unloading at Java Integrated Industrial and Port Estate (JIIPE) port during the period from January to July 2024. The analysis revealed a correlation coefficient of -0.16, indicating a very weak negative relationship between idle time and productivity. The coefficient of determination, at 2.56%, suggests that idle time contributes only marginally to productivity, while the remainder is influenced by other factors. The factors affecting idle time include weather conditions, equipment failures, and truck delays. The conclusion indicates that while idle time does impact productivity, the effect is not statistically significant..
 
 

Main engine is the main driving engine. This research develops a ship's main engine temperature monitoring system using the Blynk application. Thermocouple sensors measure engine temperature and IR Sensor measure RPM, the data is processed by ESP32, and sent to the Blynk cloud server, this research aims to determine the design of a prototype intelligent monitoring system to detect the temperature of a ship's main engine using a Thermocouple sensor, NodeMCU ESP32 which operates at 3.3V power is used as the processing core data. The system design in this research integrates Internet of Things (IoT) technology. Test factors for thermocouple temperature measuring devices and RPM sensors (IR Sensors). The test procedure uses a dynamo as a simulation of the main engine, tested for 5-10 minutes under normal conditions and 5 minutes when the dynamo feels warm to hot.