Smart longline: a tool to help fishermen detect fish and location with smartphone integration

Kamarudin Kamarudin; Muhammad Ragil Hidayatullah; M. Abizar Novaris; Riska Derliana Purba

doi:10.21831/jeatech.v5i2.71947

Smart longline: a tool to help fishermen detect fish and location with smartphone integration

Kamarudin Kamarudin, Department of Electrical Engineering, Politeknik Negeri Batam, Indonesia
Muhammad Ragil Hidayatullah, Department of Electrical Engineering, Politeknik Negeri Batam, Indonesia
M. Abizar Novaris, Department of Electrical Engineering, Politeknik Negeri Batam, Indonesia
Riska Derliana Purba, Department of Electrical Engineering, Politeknik Negeri Batam, Indonesia

10.21831/jeatech.v5i2.71947

Abstract

Longline is widely used by fishermen in Indonesia. The use of longlines, which require fishermen to go back and forth periodically to check the catch, creates problems of time and fuel. This research aims to develop a fishing tool for fishermen that will be more efficient in terms of time and fuel. The method used is a literature study related to the components to be used, the design of electrical, mechanical, interfaces and microcontroller programs, as well as the assembly of components and testing tools. The research was conducted from March to July 2022 at the Batam State Polytechnic with the test site at Nongsa Beach, Batam City. The result of this research is a smart longline prototype that can detect fish pulls using accelerometers as vibration detectors on each hook, and locate them using GPS features processed by the Mappi 32 microcontroller using LoRa communication. The information is displayed on the fishermen's smartphones. This allows the fishermen to monitor their catch without having to regularly check the longline. This tool is also equipped with a solar panel as a power source allowing it to operate for 25 hours above sea level. A future proposal for this research includes making a smart longline capable of detecting the species of fish caught. This would help fishermen analyze the species of fish in the water.

Keywords

Accelerometer; LoRa; Longline; Smartphone

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DOI: https://doi.org/10.21831/jeatech.v5i2.71947