Muhammad Badrus Zaman

Fuzzy FMEA model for risk evaluation of ship collisions in the Malacca Strait: Based on AIS data

Maritime safety in the Malacca Strait is an important issue. The Strait of Malacca is the longest strait in the world (1120 km) and is classified as a high-risk area for navigation. The 800-km (500-mile) long Malacca Strait, linking Europe and the Middle East to the Asia-Pacific, carries about 40% of world trade. The strait is the main shipping channel between the Indian Ocean and the Pacific Ocean, linking major Asian economies such as those of India, China, Japan, and South Korea. In this paper, hazard identification and risk evaluation are established as steps of a formal safety assessment for ship collisions. The inputs of a fuzzification are obtained from a failure mode and effects analysis, which includes risk factors such as occurrence (O), severity (S), and detection (D). The risk factors O, S, and D are evaluated using the fuzzy method. The actual sea-traffic condition data are collected by means of Automatic Identification System equipment that is installed at Kobe University, Japan, and the Universiti Teknologi Malaysia (UTM) Johor, Malaysia. Those data are applied to establish the methods with the help of the Geographic Information System .

Formal Safety Assessment (FSA) for Analysis of Ship Collision Using AIS Data

Currently, maritime safety is the best issue in the world. International Maritime Organization (IMO) have recommended formal safety assessment (FSA) methodology to enhance maritime safety. In this paper, the research was conducted in the Malacca Strait. Malacca Strait is an area that has a high risk for shipping navigation. Many accidents occur in the area are like collision, fire, grounding and so on. Therefore a study on improving safety in this area is very important. It is to produce an output that can be used to provide input to the master and multiple stakeholders to improve safety on board at the time of sailing. In this study, AIS is used as a data source. Sea condition data collected actual traffic through the Automatic Identification System (AIS) equipment installed at Kobe University, Japan, and Universiti Teknologi Malaysia (UTM) in Johor, Malaysia. The data is applied to define a method with the help of Geographic Information Systems (GIS).

Risk Analysis on Ship Wreck and Container Cargo to Ship Navigation

Wreck of a ship is an incident that must be avoided. Ship accidents are generally caused by a several cases, such as human error, natural disaster, technical errors, missed communication, poor condition of the ship, and many more. Ship wreckage have huge impact for ship navigation, environment, economics, and others. Those impact have many disadvantages for the shipowners, and also for environment. For examples the fuel spills that pollute the environment, make disturbance to sailing ship because the track for those navigation is blocked by the ship wreck and their cargo especially on shallow location (<50 m). These research will discuss the effect the container when it is floats on the sea and its interference other ships. The main objective of this study is to present a risk assessment on the environmental impact of the wreck and container cargo. Wrecks on the seabed is likely to pose a risk to passing ships. container and its contents as well as the possibility of refloat, and also their environmental risks emanating from the wreck and container cargo, such as fuels, lubricants, and chemical cargo. Variations scenario is a collision between ships that pass by floating containers. The frequency of refloating container, and the consequences of the passing ship depends on several factors, which will be the subject of research. However, because of the frequency of refloating containers is unlikely, then the risk is low and does not pose a danger to navigation. These risk assessment using risk matrix 5x5 which is the combined value of the frequency and consequences of the incident. The results of this study indicate the level of risk, whether the risk is accepted, not accepted or received by considering the costs and benefits (ALARP). To consequence, there are two parameters which energy is absorbed and the penetration occurs. The absorbed energy is divided into two, namely the energy absorbed by ship and the energy absorbed by containers. In this study were taken 5 groups based on the size of the vessel. In this cases any 5 size group of vessels is based on the size of the ships that pass in the shipping lanes at the site of the sinking. Assumed these vessels have speed 10 knots at the location. As well as speed drifting containers having 0 to 3 knots. http://www.transnav.eu the International Journal on Marine Navigation and Safety of Sea Transportation Volume 11

A Transport Telematics Contribution to Sustainable Development of Small Islands, Case Study: Maratua Island

Remotely-located small islands face huge challenges. Nearly all aspects of life are at low level. Lack of adequate physical infrastructure, healthcare, education, transportation and prosperity may require a massive investment and operating costs. Soft infrastructure, implemented by choosing appropriate ICT implementation, opens a window of opportunity to address the above challenges effectively. This paper outlines how the Digital Island aims to contribute in achieving sustainable development in small islands, with a case study, Maratua Island.