Grey Forecasting Model Untuk Peramalan Harga Ikan Budidaya

Muhammad Shodiq, MS and Bagus Dwi Saputra, BDS (2022) Grey Forecasting Model Untuk Peramalan Harga Ikan Budidaya. JURIKOM (Jurnal Riset Komputer), 9 (6). pp. 1777-1778. ISSN 2715-7393

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Abstraksi

Price is an important factor to consider because it determines the profit or loss from selling a product. The difficulty of controlling the volatility of fish prices is related to many factors, including stock availability, natural factors, and the level of demand. One way to solve the problem of fish price volatility is to predict fish prices in the future. The purpose of this study is to apply the gray forecasting method to forecasting fish prices, especially in the aquaculture industry. Gray forecasting is a method for creating forecasting models with a small amount of data that provides accurate forecasts. This study uses daily data on prices of Tilapia fish for the period of June 2022 for analysis of gray forecasting calculations. The results show that gray forecasting provides very accurate predictions with aa mafe value of 2.39% of the price of Tilapia fish.

Item Type:	Article
Uncontrolled Keywords:	Harga; Ikan Budidaya; Peramalan; Grey Forecasting; Mujair
Subjects:	Fakultas Sains, Teknologi dan Pendidikan > S1 Teknik Komputer T Technology > T Technology (General)
Divisions:	Fakultas Sains, Teknologi dan Pendidikan
Depositing User:	Dosen Muhammad Shodiq
Date Deposited:	03 Jan 2023 02:08
Last Modified:	04 Jan 2023 02:50
URI:	http://repository.umla.ac.id/id/eprint/2496

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