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Based on data obtained from Indonesian fisheries statistics, over ten years, it is known that 90% of the fishing fleet in Indonesia is dominated by fishing vessels under 30 GT. Generally, these vessels are not equipped with the calculations of the shipping architect or planning drawings. the large percentage of shipping disasters or vessel accidents in Indonesia, including fishing vessel accidents, is caused by several factors: 43.67% due to human error, 32.37% due to nature, 23.94% due to technical factors. Accidents due to bad weather cannot be avoided during fishing operations. However, with the quality of human resources and technical factors that have improved, it is hoped that vessel accidents can be avoided or minimized. According to the Global Maritime Distress and Safety System (GMDSS), vessels with the IMO standard are already based on satellite communications. Vessels required to use the GMDSS standard are vessels with a size of 300 GT and above. We develop a Vessel Safety Monitoring System (VSMS) which has a lower cost, which can be used to determine the vessel’s position and is added by using a distress button system such as the satellite-based GMDSS system. the communication from the coast guard post to the vessel uses the LoRA module based on radio frequency, although without pressing the distress button on the vessel, the device on the vessel will continue to send location, vessel's speed, and rpm to the coast guard station. If the distress button is pressed, the location will still be sent, the buzzer at the coast guard post will turn on, and the vessel's location can be seen on the local web server so that the coast guard post officers can immediately find out the coordinates of the vessel. It can minimize the time to search for the vessel's location because the vessel's coordinates are known. Based on the results of the Vessel Safety Monitoring System (VSMS) test, 10 data transmission from the vessel to the coast guard post can work on the land and the sea it can send nine types of data with 0 - 50 meters distance, it can send 1 type of data with a 0 - 100 meters distance, with an average delivery delay of 5 seconds. The amount of data and the delivery delay affects the working distance of the tool. The distress function or the danger signal requires data transmission for 0-15 seconds manually or automatically until the alarm goes off at the coast guard post since the vessel's danger signal is activated from the vessel to the coast guard post
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 D. N. Novitasari, “Faktor-Faktor Yang Mempengaruhi Kecelakaan Kerja Awak Kapal Longline Di Pelabuhan Perikanan Samudera (PPS) Cilacap, Jawa Tengah.” Universitas Brawijaya, 2017.
 I. P. A. Wibawa and R. Birmingham, “Improving Safety Working Environment on Indonesian Fishing Fleet: A Case Study on Local Fishing Communities in East Java,” Mastic2018 Marit. Saf. Int. Confrence, 2018.
 F. Uğurlu, S. Yıldız, M. Boran, Ö. Uğurlu, and J. Wang, “Analysis of fishing vessel accidents with Bayesian network and Chi-square methods,” Ocean Eng., vol. 198, p. 106956, 2020.
 Y.-K. WON and D.-J. KIM, “Risk Analysis and Selection of the Main Factors in Fishing Vessel Accidents Through a Risk Matrix,” J. Korean Soc. Mar. Environ. Saf., vol. 25, no. 2, pp. 139–150, 2019.
 P. J. Zohorsky, “Human Error In Commercial Fishing Vessel Accidents: An Investigation Using the Human Factors Analysis and Classification System,” 2020.
 A. Jennings, “Modern maritime communications,” 2016.
 S. Valčić, S. Žuškin, D. Brčić, and D. Šakan, “An Overview of Recent Changes in the Global Maritime Distress and Safety System Regarding Maritime Mobile Satellite Service,” NAŠE MORE Znan. časopis za more i Pomor., vol. 66, no. 3, pp. 135–140, 2019.
 M. B. Rahmat, A. Z. Arfianto, M. Z. A. Tiwana, and S. Virgiani, “SMDS (Simple Maritime Distress and Safety System) Sebagai Solusi untuk Meningkatkan Keselamatan dan Identifikasi Awal Marabahaya bagi Nelayan Tradisional,” in Seminar MASTER PPNS, 2018, vol. 3, no. 1, pp. 255–258.
 Q. Aini, M. H. Purnomo, and A. Affandi, “Gossip algorithm approach and AODV in Vessel Messaging System: A comparison of performance,” Proc. - 4th IEEE Int. Conf. Control Syst. Comput. Eng. ICCSCE 2014, no. November, pp. 159–163, 2014, doi: 10.1109/ICCSCE.2014.7072707.
 M. I. Marzuki, P. Gaspar, R. Garello, V. Kerbaol, and R. Fablet, “Fishing gear identification from vessel-monitoring-system-based fishing vessel trajectories,” IEEE J. Ocean. Eng., vol. 43, no. 3, pp. 689–699, 2017.
 F.-C. Hsu et al., “Cross-matching VIIRS boat detections with vessel monitoring system tracks in Indonesia,” Remote Sens., vol. 11, no. 9, p. 995, 2019.
 A. Z. Arfianto and A. Affandi, “Rancang Bangun Layanan Website Interaktif Pada Sistem Komunikasi Vessel Messaging System (VMeS),” Bachelor Thesis, Surabaya Inst. Technol. Surabaya, Indones., 2010.
 Adrianimantaka1,“RANCANG BANGUN LAYANAN SMS PADA TEKNOLOGI VMES (VESSEL MESSAGING SYSTEM) UNTUK SISTEM KOMUNIKASI KAPAL LAUT,” Accessed: May 21,2017.[Online].Available:https://www.researchgate.net/profile/Achmad_Affandi/ publication/ 266604067_RANCANG_BANGUN_LAYANAN_SMS_PADA_TEKNOLOGI VMES_VESSEL_MESSAGING_SYSTEM_UNTUK_SISTEM_KOMUNIKASI_KAPAL_LAUT/ links/55488e980cf2b0cf7acecffa.pdf.