PREDICTION OF DETERIORATION IN VANNAME SHRIMP QUALITY USING MENETUKAN REGRESSION AND TRANSITION MATRIX

• Main Author: Aurelia, Michelle
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/77124
• Institution: Institut Teknologi Bandung

The potential of Indonesia's fisheries sector is the largest in the world, both capture fisheries and aquaculture with a sustainable production potential of around 67 million tonnes/year (2021). One of the livestock products with the largest production value in Indonesia is shrimp livestock, with livestock production in 2019 reaching 1,053 tonnes. However, in fact the selling price of fishery livestock products is still unstable, one of which is due to a decrease in the quality and quality of post-harvest fish losses (PHFL) which results in lower selling prices in the market. Therefore, a model is needed to predict the selling price of shrimp livestock products on the market. This study aims to create a price prediction model for the selling price of shrimp livestock products on the market for sellers and to help predict the value of the decline in quality and quality of post-harvest livestock products so that it is expected to reduce the yield losses or post-harvest fish losses for shrimp livestock products in Indonesia. The model that will be used to predict the selling price of shrimp is a multiclass menetukan regression model.