Struktur Struktur Sistem Pemadam Otomatis Dan Pemantauan Kebakaran Kapal Berbasis Internet of Things

  • ian mochamad sofian poltektrans sdp palembang


Many factors cause ship accidents, one of the main causes comes from human error. In addition, events that cause delays in handling fires are delays in information for ship fire warnings. To solve the problem, we conduct research so that ship fires can be quickly detected automatically and monitored from afar. A common problem is that in the territorial waters there is no data communication network so it is difficult to convey information in the event of a ship fire. Therefore, we designed the automatic extinguishing and monitoring of ship fires using LoRa. The detector can activate the APAR automatically if there is a fire and notify on the ground. The ship's fire detector consists of: Arduino Uno, LoRa module, esp, flame, MQ-2, ds18b20. The LoRa configuration applied is BW=125, CR=4/5, and SF=12. With this configuration, our experiment can send data to a LoRa gateway that is 50 m from the sensor node. Meanwhile, the RSSI level received by the gateway is -112.


[1] Mutmainnah, W., Bowo, L.P., Nurwahyudy, A., Prasetyo, F.A. dan Furusho, M, 2020, Causative factor analysis of passenger ship accident (fire/explosion) in Indonesia, IOP Conf. Ser. Earth Environ. Sci., No.1, Vol.557,

[2] BKI, 2019, Guidance for class notations 2019 (Pt.0, Vol.B), Vol B ),2019 Guidance for Class Notations,2019.pdf.

[3] Faturachman, D., dan Mustafa, S., Sea transportation accident analysis in Indonesia, Procedia-Soc. Behav. Sci., Vol.40, 616–621,

[4] Chong, C., Y., dan Kumar, S.P., 2003, Sensor networks: evolution, opportunities, and challenges, Proc. IEEE, No.8, Vol. 91, 1247–1256,

[5] Khajuria, R., dan Gupta, S., 2015, Energy optimization and lifetime enhancement techniques in wireless sensor networks: a survey, Int. Conf. Comput. Commun. Autom. ICCCA 2015, 396–402,

[6] Wixted, A.J., Kinnaird, P., Larijani, H., Tait, A., Ahmadinia, A., dan Strachan, N., 2016, Evaluation of LoRa and LoRaWAN for wireless sensor networks, IEEE SENSORS, 1-3,

[7] Lavric, A., dan Petrariu, A.I, 2018, LoRaWAN communication protocol: the new era of IoT, 14th Int. Conf. Dev. Appl. Syst. DAS - Proc., 74–77,

[8] Carvalho, D.F., Depari, A., Ferrari, P., Flammini, A., Rinaldi, S., dan Sisinni, E., 2018, On the feasibility of mobile sensing and tracking applications based on LPWAN, IEEE Sensors Appl. Symp. SAS-Proc., 1–6,

[9] Essa, S., Petra, R., Uddin, M.R., Suhaili, W.S.H., dan Ilmi, N.I, 2020, IoT-based environmental monitoring system for brunei peat swamp forest, 2020 Int. Conf. Comput. Sci. Its Appl. Agric. ICOSICA, 1-5,

[10] Dragulinescu, A.M., Dragulinescu, A., Zamfirescu, C., Halunga, S., dan Suciu, G, 2019, Smart neighbourhood: LoRa-based environmental monitoring and emergency management collaborative IoT platform, Int. Symp. Wirel. Pers. Multimed. Commun. WPMC, 1-6,