Efficiency of Tuna Unloading Time Hand Line Vessels at Bungus Fishing Port, West Sumatra Province

Authors

  • Rahmi Rahmadhani Department of Fisheries Resources Utilization, Faculty of Fisheries and Marine, Universitas Riau Author
  • Jonny Zain Department of Fisheries Resources Utilization, Faculty of Fisheries and Marine, Universitas Riau Author
  • Alit Hindri Yani Department of Fisheries Resources Utilization, Faculty of Fisheries and Marine, Universitas Riau Author

DOI:

https://doi.org/10.31258/tromes.4.1.6-11

Keywords:

Efficiency Level, Tuna Unloading, Hand Line, PPS Bungus

Abstract

Tuna fish is one of Indonesia's leading commodities from the fisheries sector because it has high economic value. Fish unloading refers to the activities carried out by the crew after the ship arrives at the fish landing site. Efficiency, technically, refers to the ability of humans to carry out a task accurately without wasting energy, time, or money. Handline vessels are specifically designed to catch large pelagic fish, such as tuna, using handline gear. The purpose of this study was to determine the efficiency of tuna unloading time on hand-line vessels at Bungus Ocean Fishing Port and the factors that influence it. The research method used in this study is the survey method, namely direct observation of tuna unloading activities on handline vessels at the Bungus Ocean Fishing Port dock in West Sumatra Province. Based on research on tuna unloading activities on handline vessels at PPS Bungus, it can be concluded that unloading efficiency tends to vary, ranging from 44.19 to 85.19% with an average of 63.01%. This shows that the tuna unloading process on handline vessels at PPS Bungus tends to be less efficient. The amount of wasted time is influenced by ship tonnage (x1), number of fish (x2), unloading speed (x3), ship unloading power (x4), freeboard height (x5), with multiple regression equations Y = -35.662 + 293 X1 + 1,277 X2 - 6,467 X3 +793 X4 +328 X5. The level of tuna unloading efficiency on handline vessels is influenced by the time wasted, with a coefficient of determination (R2) of 72,5%.

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References

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Published

2025-11-30

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