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http://dx.doi.org/10.6109/jkiice.2022.26.2.321

Implementation of a Regression Analysis System for the Control of Supplying Halibuts  

Ahn, Jinhyun (Faculty of Data Science for Sustainable Growth & Department of Management Information System, Jeju National University)
Kang, Jungwoon (Faculty of Data Science for Sustainable Growth & Department of Management Information System, Jeju National University)
Kim, Mincheol (Faculty of Data Science for Sustainable Growth & Department of Management Information System & Chief of Tourism Business, and Economic Research institute, Jeju National University)
Park, So-Young (Faculty of Data Science for Sustainable Growth & Department of Management Information System, Jeju National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.2, 2022 , pp. 321-324 More about this Journal
Abstract
The Korean halibut farming industry suffer from price instability and demand decrease due to various environmental and social issues. It is urgent to predict the appropriate amount of halibut production. However, it is not easy for employments working in the halibut farming industry to handle statistical tools in order to perform the prediction. In this paper, we implemented a Excel-based regression analysis tool that allows users to get a regression analysis result by just entering historical data in a sheet. Our tool will reduce workloads of employments working in the halibut farming industry by enabling them to perform a regression analysis with Excel on-the-fly. This study expect that by using the tool the halibut farming industry cope actively with the real-time change in the industry.
Keywords
Halibut; Supply; Regression analysis; Xlwings;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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