Implementation of regulation of the minister of transportation no. 7 of 2019 against the installation of automatic identification system (AIS) on ferriage ships operating in the Ketapang-Gilimanuk and Ketapang-Lembar (original) (raw)
Related papers
International Journal of Marine Engineering Innovation and Research, 2016
International Maritime Organization (IMO) has recommended the implementation of Automatic Identification System (AIS) to improve the safety of navigation at marine traffic area. Based on regulation, IMO requires AIS to be fitted aboard all ships of 300 gross tonnage and upwards engaged on international voyages, cargo ships of 500 gross tonnage and upwards not engaged on international voyages and all passenger ships irrespective of size. The function of the AIS is to make communication between ship to ship and communication between ship to the port or land area. In this study, the study area is the Malacca Strait. Malacca Straits is the strait categorized as high risk level. Malacca straits is also busy area for maritime transportation because it is an area for international transportation lines. Many captains feel anxious and cautiously when passes through the strait. AIS receiver was used in this study which has been installed at Universiti Teknologi Malaysia by Kobe University Japan. Using AIS receiver, the current condition of the ship in the Malacca Straits area can be monitored properly. In addition, the data recorded on the AIS receiver can be used for research to enhance safety of navigation.
The Usage of Automatic Identification System (AIS) Data for Safety during Navigation
International Journal of Supply Chain Management, 2018
Estimation of safety on navigation by using safety distance formulation of sea transport is possible with by using data from the Automatic Identification System (AIS). Based on AIS data can be calculated the safety distance and actual distance of the target ship and also closest ship Calculation of safety distance and actual distance of the ship using AIS data closer to the real condition because AIS data provide ship data (time and location) as real-time. This study showed that calculation of safety distance is able to cover all speed more than 5 knots. The results show several ships from 295 total numbers of ships through the Strait of Malacca on 15th November 2013, 8.00 pm until 9.00 pm in danger condition but need to refer to the type of the ship also by using the information from the references website. The ships under the Singapore flag contribute the highest values from the total quantity of the marine traffic on 15th November 2013, 8.00 pm until 9.00 pm follow by Panama, Liberia and Marshall Island. The most high-risk time which danger to the marine transportation and shipping traffic in the Strait of Malacca..
The Automatic Identification System (Ais) as a Data Source for Studying Maritime Traffic
2016
The Automatic Identification System (AIS) is an automatic tracking system used on as a tool to increase navigation safety and efficiency as well as vessel traffic management. It enhances maritime safety and security. AIS' contributions are undeniable in spite of some deficiencies and technical restrictions. This article presents the impacts and uses of AIS technology that can provide useful information to study maritime traffic, especially for the scientific community and port authorities. This desktop study is carried out in the framework of the implementation of a platform to reconstruct shipping routes using AIS data.
International Journal of Science and Research (IJSR), 2015
The Automatic Identification System (AIS) technology is a system that enables a vessel to get information about encountered vessel such as their position, course, speed and others automatically by very high frequency (VHF) radio transmission. This technology has been widely applied in maritime industry to contribute the improvement of marine traffic control and safety. This project is interested to analyse the AIS data collected in order to examines the movements of vessels that transit at Port Klang and Strait of Malacca by mapping the vessels path based on its position (latitude and longitude). The mappings are then investigate and evaluate to visualise the flow of vessel traffic density using the AIS system
2019
Keadaan geografis Indonesia sebagai negara kepulauan dan negara maritim yang memiliki wilayah mencapai dua pertiga dari luas wilayahnya memiliki potensi sumber daya kelautan dan perikanan yang tinggi. Potensi yang dimiliki ini seharusnya dapat diandalkan untuk menopang perekonomian Indonesia namun terancam oleh adanya praktek illegal fishing. Penelitian ini bertujuan untuk menyusun rancangan operational information system dengan menggunakan automatic identification system, selanjutnya disebut automatic operational identification system, yang dipasang di Satelit LAPAN untuk mendeteksi kapal ilegal yang masuk ke Indonesia sehingga dapat meningkatkan penerimaan negara bukan pajak melalui hasil tangkapan ikan. Metodologi penelitian yang digunakan adalah penelitian kualitatif eksploratori. Penelitian ini menghasilkan rancangan automatic operational identification system atas pendeteksian kapal yang melanggar serta pengakuan pendapatan hasil tangkapan ikan. Proses ditampilkan data flow di...
International MultiConference of Engineers and Computer Scientists 2019 (IMECS 2019), 2019
Port Klang is one of the busiest ports in the worlds and have played an important role to ensure the import and export activities towards Malaysian economy sector. Port Klang located in a busy marine sea route of Strait of Malacca received a great amount of vessels making it a high density port and more likely exposed to the collision risk. From the analysis of Automatic Identification System (AIS) data, the marine traffic pattern of the study area will be characterized. The raw AIS data collected through AIS receiver that was installed at Universiti Teknologi Mara, Shah Alam, Malaysia. The data was collected from July 2016 until December 2016. A web-based application was developed to decode the raw data collected for analysis and characteristic purpose. The decoded raw data were presented statically and through graphical method. The variable that need to be consider such as number of vessels, type of vessels, course over ground, and speed over ground of the vessels. The path for dangerous category vessels was also plotted.
Risk of Navigation for Marine Traffic in the Malacca Strait Using AIS
Procedia Earth and Planetary Science, 2015
The Malacca Strait experiences high-density vessel traffic, and therefore is a busy area with high potential for collisions. Analyses of marine traffic that reflect the real conditions of ship navigation are performed to enhance maritime traffic safety. An automatic identification system (AIS) allows for the accurate investigation of actual ship encounters, ship collisions, and sea traffic management systems. For this study, an AIS receiver installed at the Universiti Teknologi Malaysia (UTM) provided AIS data, which focused on a selected area in the Malacca Strait. The 1972 International Regulations for Preventing Collisions at Sea (COLREG) guided the assessment of navigation safety based on real conditions using AIS and geographic identification systems (GIS). Based on estimates of the probability and consequence indices from a risk matrix, the time and encounter conditions determined the level of risk. This study also conducted safety measurements. The analysis indicated that ship safety would improve significantly if the vessels followed the guidelines established in this study.
Journal of the Japan Society of Naval Architects and Ocean Engineers, 2012
The Strait of Malacca considered to be the busiest and is one of the world's most dangerous shipping lanes in the world because of its heavy traffic, narrowness, sharp turns, and many other critical factors. Therefore, maritime safety in the Strait of Malacca is an important issue. With a length of approximately 500 mi (800 km), the Strait of Malacca is the longest strait in the world used for international navigation. It forms the main seaway connecting the Indian Ocean with the China Sea and provides the shortest route for tankers shuttling between the Middle East and Asian countries. Therefore, this strait is the busiest shipping lane in the world. The principal aim of this study is to analyze the degree of safety in navigating the Strait of Malacca in terms of indices such as the danger score using the analytic hierarchy process (AHP) and the automatic identification system (AIS) data. The objectives of International Maritime Organization (IMO) of implementing the AIS are to enhance the safety and efficiency of navigation, safety of life at sea, and protection of maritime environment. In this study, the AIS is used as a source of data and AHP is used for evaluating the danger score, the sum of the weighting factors determined by this method,
An Overview Automatic Identification System and Its Applications.
International Journal of Engineering Sciences & Research Technology, 2013
The introduction of Automatic Identification System in the sea navigation has provided a greater assistance rather than other navigational systems, in guiding a vessel and collision avoidance, now the AIS systems provide a wide range of information ranging from speed to turn rate. This paper mainly aims about bringing a brief overview of AIS systems, its broadcastings, opera various parameters implemented while taking into consideration and with a management technique. Various additional factors such as emission rates and vessel activity have been described here. The factors taken here for considerations are supposed to be a common for both port and underway emissions.
Marine pollution bulletin, 2017
The Indonesian fisheries management system is now equipped with the state-of-the-art technologies to deter and combat Illegal, Unreported and Unregulated (IUU) fishing. Since October 2014, non-cooperative fishing vessels can be detected from spaceborne Vessel Detection System (VDS) based on high resolution radar imagery, which directly benefits to coordinated patrol vessels in operation context. This study attempts to monitor the amount of illegal fishing in the Arafura Sea based on this new source of information. It is analyzed together with Vessel Monitoring System (VMS) and satellite-based Automatic Identification System (Sat-AIS) data, taking into account their own particularities. From October 2014 to March 2015, i.e. just after the establishment of a new moratorium by the Indonesian authorities, the estimated share of fishing vessels not carrying VMS, thus being illegal, ranges from 42 to 47%. One year later in January 2016, this proportion decreases and ranges from 32 to 42%.