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.

The Port of Tanjung Perak is intended as the main gateway to connect regions within the country and between countries. With the construction of the GSN Terminal at Tanjung Perak Port, it is hoped that it can be used as access to human mobility so as to provide satisfaction to passengers. The research aims to determine the influence of port facilities consisting of aspects of safety, comfort, convenience and equality on passenger satisfaction. The type of research used in this study is quantitative. This research was carried out at the Port of Tanjung Perak with a time of 1 year. The average daily passenger population in 2024 is 4,593 passengers. The results of the calculation of the Slovin formula can be determined by the number of samples as many as 100 passengers, the data source in this study uses primary and secondary data with data collection techniques, namely: questionnaires, laws and regulations, official government reports, and relevant previous research. The data analysis technique is the Multiple Linear Regression test. The results of this study show that the variables of safety, convenience, and equality in passenger terminal facilities have a positive and significant effect on passenger satisfaction at Tanjung Perak Port. Port facilities have a significant simultaneous effect on passenger satisfaction at Tanjung Perak Port.