Improving the value of lobster selling with grading method using machine vision technology

Muhamad Deni Johansyah; Bob Foster; Vani Maharani; Graha Prakarsa; Susan Purnama

doi:10.21744/lingcure.v6nS1.2122

Authors

Muhamad Deni Johansyah
muhamad.deni@unpad.ac.id
Departemen Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Padjadjaran
Bob Foster University of Informatics and Business Indonesia, Sukapura, Kiaracondong, Bandung City, Indonesia
Vani Maharani University of Informatics and Business Indonesia, Sukapura, Kiaracondong, Bandung City, Indonesia
Graha Prakarsa University of Informatics and Business Indonesia, Sukapura, Kiaracondong, Bandung City, Indonesia
Susan Purnama University of Informatics and Business Indonesia, Sukapura, Kiaracondong, Bandung City, Indonesia

Keywords:

grading, learning, lobster selling, machine, vision technology

Abstract

Lobster is a product of the fishery sector which has a very high selling value, fishermen in coastal areas, especially in the Pangandaran area, sell the catch on traditional markets and are exported overseas. The expensive lobster selling value is inversely proportional to the income received by fishermen, the problems faced are influenced by several factors, namely whether, fishing regulations, and technology used, lobster sales will increase if the sales process if fishermen can sort and sort lobster sized large, which has a very high export value, the problems faced by fishermen currently sell directly to the fish market or buyers without going through the grading process. The grading system can be done manually but this causes the lobster to become not fresh because of the fairly long sorting process. The sorting and grading system method is a must so that a sold lobster possesses export value and quality, some large fishermen use a very large and fairly expensive sorting tool and are only owned by fishermen with large capital as well as catching patterns and large-scale lobster production. In small fishermen limited to the number of catches and transport capacity.

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