ANALISIS TINGKAT KEPUASAN PELANGGAN TERHADAP PELAYANAN PELABUHAN MUARA ANGKE

The port has an important role in serving activities in one of the archipelago countries, Indonesia. The availability of services contained in ports for users of port services must be considered by the government which is excepted to be able to try to meet the level of port service performance expected of the high level of satisfaction of users of port service in DKI Jakarta. The policy of the DKI Jakarta Provincial Government in the field of transportation, especially in the department of transportation, the Unit for Management of water and Port Transportation. The services contained in the port that can be directly felt by users of port services are those that are available at the passenger port. One of the passanger ports in DKI Jakarta that is expected to provide a high level of satisfaction is Muara Angke Passanger Port. This research technique uses survey methods for sampling data, analysis of the discussion using descriptive analysis, gap method by calculating the level of suitability and cartesius diagram. As a result, users of port services are still not maximal in providing services in ports such as there is no service to provide information on emergency health care facilities and there is no convenience service for health services aimed at anticipating healt emergencies, so that users of port service immediateky receive help first.

Towards Analytics-Enabled Efficiency Improvements in Maritime Transportation: A Case Study in a Mediterranean Port

The current digitalization trend, the increased attention towards sustainability, and the spread of the business analytics call for higher efficiency in port operations and for investigating the quantitative approaches for maritime logistics and freight transport systems. Thus, this manuscript aims at enabling analytics-driven improvements in the port transportation processes efficiency by streamlining the related information flow, i.e., by attaining shorter time frames of the information and document sharing among the export stakeholders. We developed a case study in a mid-sized European port, in which we applied Process Mining (PM)—an emerging type of business analytics—to a seven-month dataset from the freight export process. Four process inefficiencies and an issue that can jeopardize the reliability of the time performance measurements were detected, and we proposed a draft of solutions to cope with them. PM enabled enhancements in the overall export time length, which might improve the vessels’ turnover and reduce the corresponding operational costs, and supported the potential re-design of performance indicators in process control and monitoring. The results answer the above-mentioned calls and they offer a valuable, analytics-based alternative to the extant approaches for improving port performance, because it focuses on the port information flow, which is often related to sustainability issues, rather than the physical one.

Stowage Planning in Multiple Ports with Shifting Fee Minimization

This paper studies the problem of stowage planning within a vessel bay in a multiple port transportation route, aiming at minimizing the total container shifting fee. Since the access to containers is in the top-to-bottom order for each stack, reshuffle operations occur when a target container to be unloaded at its destination port is not stowed on the top of a stack at the time. Each container shift via a quay crane induces one unit of shifting fee that depends on the charge policy of the local container port. Previous studies assume that each container shift consumes a uniform cost in all ports and thus focus on minimizing the total number of shifts or the turnaround time of the vessel. Motivated by the observation that different ports are of nonuniform fee for each container shift, we propose a mixed integer programming (MIP) model for the problem to produce an optimal stowage planning with minimum total shifting fee in this work. Moreover, as the considered problem is NP-hard due to the NP-hardness of its counterpart with uniform unit shifting fee, we propose an improved genetic algorithm to solve the problem. The efficiency of the proposed algorithm is demonstrated via numerical experiments.