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Automatic Identification System (AIS) Decode Design for Ship Monitoring using Labview Software Istardi, Didi; K.A, Ardian Budi; Assad, Nur Sakinah; Saputra, Hendra
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 54 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (971.442 KB) | DOI: 10.36842/jomase.v54i1.50

Abstract

The AIS (Automatic Identification System) is used for monitoring ship traffic in the Singapore Strait. The AIS system is automated tracking system that was used in ship industry. The system consists of hardware that functions as AIS data receiver and AIS decode software developed with LabVIEW programming language. The system visualizes real-time coordinates of ships (longitude and latitude) to google maps. The method of decoding from AIS data onto ship data consists of 3 stages. Firstly, AIS data with char data type is converted to decimal. Secondly, decimal data is converted to binary and mirrors binary data results. Lastly, binary grouping according to ITU Recommendation M.1371 and binary grouping conversion with MSB reading to decimal are done. Results from the AIS system are: decoded MMSI, navigation status, Rate of Turn (ROT), ship speed, ship position (Longitude and Latitude), Course over Ground (COG), True Heading (HDG), Time Stamp, RAIM flag and Radio status. The accuracy of the system is 99.61%.
Development of Automatic Identification System (AIS) for Vessels Traffic Monitoring in the Strait of Singapore and Batam Waterways Saputra, Hendra; Wiratno S, Sapto; Fathonah M, Mufti; Istardi, Didi; Budi K.A, Ardian; Mufida, Mir’atul Khusna; Koto, J
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 51 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (863.067 KB) | DOI: 10.36842/jomase.v51i1.41

Abstract

AIS (Automatic Identification System) is an automatic tracking system used by ships and vessel traffic service (VTS) for identifying ship information by electronically exchanging data with other vessels, coastal station, and satelite. AIS can be used to monitor vessels traffic on a strait channel by detecting a large number of vessels and collecting the ships information related to ship static, dynamic and voyage information such as MMSI number, navigation status, rate of turn (ROT), ship speed, ship position, course over ground (COG), ship heading (HDG), time stamp, RAIM flag and radio status at once. On this paper we try to develop an AIS system for vessel traffic monitoring purpose in the Strait of Malacca especially in the Strait of Singapore and Batam Waterways as one of the world's most congested straits used for international shipping. The method of AIS system development is divided onto 2 stage. Firstly, AIS raw data sent by ships are recorded and decoded as ships information into an application at once. Secondly, the output of AIS decode is used into web based interactive visualization application to visualize the vessels traffic. The development of AIS system has been tested by running the AIS record, decode and web visualisation and shown that the system could be applied to vessel traffic monitoring.
Meningkatkan Kinerja melalui Pengendalian Proses-proses Strategis, Inovasi dan Pengelolaan Sumberdaya Taufik, Candra; Mulyadi, Hari; Suryana, Suryana; Istardi, Didi
Jurnal Internasional Penelitian Bisnis Terapan Vol 8 No 01 (2026)
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ijabr.v8i01.594

Abstract

This study aims to examine the effect of controlling strategic processes, resource management, and innovation on entrepreneurial performance and firm performance. We analyzed data from 154 entrepreneurs and company managers of the furniture industry sector using PLS-SEM to test several hypotheses. The results show a significant effect of strategic entrepreneurship control on improving resource management, innovation, and entrepreneurial performance. Strategic entrepreneurship control, which integrates strategic entrepreneurship and strategic control, can also indirectly boost firm performance. The practical implications of this research are that to address the problem of declining performance, it is necessary to improve innovation and resource management, as well as control strategic processes through the construct of strategic entrepreneurship control. This research contributes to the field of management science, particularly entrepreneurship, strategic entrepreneurship, and strategic control.