Enhancing Fishing Efficiency with Geographic Information System and Optimized Methods

Authors

  • Anisa Fitri Santosa Department of Automation Engineering, Shipbuilding Institute of Polytechnic Surabaya
  • Afif Zuhri Arfianto Department of Automation Engineering, Shipbuilding Institute of Polytechnic Surabaya
  • Muhammad Khoirul Hasin Department of Automation Engineering, Shipbuilding Institute of Polytechnic Surabaya
  • Imam Sutrisno Department of Automation Engineering, Shipbuilding Institute of Polytechnic Surabaya
  • Didik Sukoco Department of Automation Engineering, Shipbuilding Institute of Polytechnic Surabaya
  • Dimas Pristovani Riananda Department of Automation Engineering, Shipbuilding Institute of Polytechnic Surabaya

DOI:

https://doi.org/10.25299/itjrd.2024.13859

Keywords:

Traditional Fishermen, Leaflet, Data Logger, LoRa, Haversine

Abstract

Traditional fishing techniques frequently lack efficiency and optimization, resulting in fishermen obtaining unsatisfactory yields. This study presents a novel approach by incorporating Geographic Information System (GIS) technology, notably utilizing Leaflet, to improve fishing techniques. The suggested system incorporates a LoRa node tool that logs the journeys of fishermen, offering comprehensive itineraries and data on the distribution of fish and unfavorable weather conditions. Notable outcomes were attained by employing the haversine approach to compute distances between the LoRa Gateway and different data points. The approach exhibited a negligible error margin of 0.157% in contrast to the calculations performed in Excel. In addition, the GPS accuracy testing produced remarkable results, with latitude and longitude errors of 0.000116% and 0.000002%, respectively. The LoRa system demonstrated a range of RSSI performance, with values ranging from -57 dBM at 50 meters to -121 dBM at 1500 meters. This range of performance guarantees dependable transmission of data over significant distances. The findings underscore the GIS-based strategy's efficacy in enhancing the effectiveness and precision of conventional fishing methods, presenting a promising technical improvement for the fishing sector.

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Published

2024-08-19

How to Cite

Santosa, A. F., Arfianto , A. Z., Hasin, M. K., Sutrisno, I., Sukoco, D., & Riananda, D. P. (2024). Enhancing Fishing Efficiency with Geographic Information System and Optimized Methods. IT Journal Research and Development, 9(1), 38–49. https://doi.org/10.25299/itjrd.2024.13859

Issue

Vol. 9 No. 1 (2024)

Section

Articles

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Copyright (c) 2024 Anisa Fitri Santosa, Afif Zuhri Arfianto , Muhammad Khoirul Hasin, Imam Sutrisno, Didik Sukoco, Dimas Pristovani Riananda

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