This research aims to analyze the use of SIMON TKBM, identify obstacles in its implementation, and evaluate its impact on the efficiency of loading and unloading activities at Tanjung Perak Port. A quantitative approach was used involving a population consisting of 1480 loading and unloading workers (TKBM) at the port. The research sample was calculated using the Slovin formula with a margin of error of 10%, resulting in a total of 90 representative respondents. Data was collected through a questionnaire with 17 statements and then analyzed using validity, reliability and multiple linear regression tests to identify the relationship between the use of SIMON TKBM, implementation obstacles and its impact on loading and unloading efficiency. Referring to the validity and reliability test results, it shows that all questionnaire items are valid and reliable (Cronbach's Alpha = 0.893). Multiple linear regression analysis shows that the System (X1) and User (X2) variables have a positive effect on Interaction (Y), with the largest contribution coming from the user factor (coefficient = 0.301; significance = 0.003). Meanwhile, the System variable has a low and insignificant influence (coefficient = 0.090; significance = 0.395), which indicates the existence of technical problems in the system. The multiple correlation coefficient value of 0.519 indicates a moderate relationship between the three variables. These findings conclude that the implementation of SIMON TKBM is quite effective in supporting loading and unloading activities, especially with active user support, although technical improvements and identification of other external factors that influence system effectiveness are still needed.

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..
 
 

This research aims to analyze the causes of the KM ship accident. Kirana I and the role of the Tanjung Emas Class I Harbormaster and Port Authority Office (KSOP) in improving shipping safety. Using a qualitative approach, data was collected through observation, interviews and documentation. The research results show that accidents are caused by human negligence, especially from ship crews who ignore safety procedures, even though the ship has met all safety certification requirements. Weather factors also contributed to the incident. KSOP Class I Tanjung Emas plays an important role in monitoring shipping safety through routine inspections and issuing Sailing Approval Letters (SPB). This research recommends increasing regular shipping safety training and outreach to ship crews and port officers, as well as strengthening coordination between agencies to create a better safety culture in the shipping environment.