JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 1 No. 3 (2022): September

Implementation of the Weighted Moving Average Method for Forecasting the Production of Manila Duck meat in Indonesia

Diana Pratiwi (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Riki Winanjaya (STIKOM Tunas Bangsa, Pematangsiantar)
Irawan Irawan (STIKOM Tunas Bangsa, Pematangsiantar)



Article Info

Publish Date
18 Oct 2022

Abstract

Manila duck is a waterfowl originating from South America, through the Philippines this type of duck entered Indonesia and has a large distribution in various regions of Indonesia the production on manila duck meat and from 2019-2020 has decreased due to the covid-19 pandemic which resulted in economic difficulties. And the lack of demand from restaurants and households so that the amount of production decrease. However, in 2020-2021 production will increase due to the relaxation from the previous pandemic and the demand and marketing has increased to that the number of production has increased from the previous year. The Weighted Moving Average method is a method used to determine the latest trend with a moving average value. The purpose of this study was to analyses the amount of production of manila duck meat in solving the problem. The result obtained with the smallest error percentage are at F128 in the province of North Maluku with MAPE value of 0,003 or equal to 0,3% with a bias of -0,25, MAD 0,25, MSE 0,06, with a forecasting value of 83,29 which is close to the original data, namely 83,04 so that the forecast value for 2022 is 83,24 tons.

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Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...