Probabilitas Human Error Pengoperasian HMC Pekerjaan Bongkar Muat Petikemas Menggunakan CREAM dan Penentuan Rekomendasi Berdasarkan Error Reduction Analysis

Abstract

Loading and unloading work is one of the port services by container service companies to unload goods using the loading and unloading equipment. When operating loading and unloading equipment, humans are directly involved in the activity so there is a human tendency to make mistakes with the potential to cause accidents. Data on container loading and unloading work for 2020-2023 shows that work accidents most often occur involving HMC. Container loading and unloading work using HMC tools requires a fairly high level of focus and during the process it must be done quickly and precisely. The occurrence of accidents involving HMC equipment is caused by many factors, one of which is human error as the main cause. This research aims to determine the Human Error Probability (HEP) value of HMC operations for container loading and unloading work so that recommendations for corrective action can be provided to minimize the possibility of human error in the future. The probability of human error operating the HMC can be determined using one of the HRA (Human Reliability Analysis) methods, namely CREAM. Meanwhile, recommendations are based on error reduction analysis focuses on seven approach strategies obtained based on the results of expert judgment discussions. The highest HEP results for HMC operation are found in 9 subtasks, namely subtask 1.1; 1.2; 1.3; 4.6; 4.7; 6.2; 7.1; 7.3; 7.4 with a value of 0.00192. Recommendations to reduce the possibility of human error, namely providing work uniforms and PPE periodically; implementing a reward system and sanctions; evaluations and guidance regarding SOP; routine training and simulations on the importance of checking equipment before operation; periodic supervision and audits; training related to coordination, cooperation, compliance, and team response to certain situations.