This study discusses the preventive measures against piracy attacks faced by MV. X while transiting High Risk Areas. The purpose of this research is to identify the vessel’s vulnerability factors to piracy attacks and analyze the procedures and preventive actions that have been implemented. A descriptive qualitative method was used, including observation, in-depth interviews with crew members and armed guards, as well as document analysis of anti-piracy SOPs. The research findings show that the vulnerabilities of MV. X are due to limited drill training, suboptimal implementation of procedures, and inconsistency in the use of personal protective equipment (PPE). Based on these findings, it is recommended to increase the frequency and depth of simulation drills, enforce PPE usage standards, and update deck access security procedures. In conclusion, consistent implementation of procedures and structured training will enhance vessel security during High Risk Area transits.

Ports are critical infrastructure in maritime transportation, facilitating the movement of goods and people while serving as hubs for economic activities. The Tanjung Pakis Class III Harbormaster and Port Authority Office (KSOP) utilizes the Electronic Reporting Information (SIRANI) application for reporting loading and unloading data. However, challenges such as discrepancies, technical disruptions, and delays in data processing often arise. This study aims to describe the loading and unloading data processing and the efficiency of reporting time on the SIRANI application at KSOP Class III Tanjung Pakis. Employing a descriptive qualitative approach through interviews, observations, and documentation, the research finds that data processing is less effective due to low data validity and errors in the Inaportnet platform. Reporting to SIRANI is also inefficient due to delays in data handling and technical issues with the application. Corrective measures, such as early data verification and manual data handling by reporting officers, have improved effectiveness by reducing the process from five to three steps and cutting reporting time from 6 hours to 3 hours and 30 minutes. The study concludes that optimizing data processing and inter-unit coordination can enhance the effectiveness and efficiency of reporting. Recommendations for future research include real-time integration and the development of backup mechanisms to address technical disruptions.