KOMPUTIKA - Jurnal Sistem Komputer
Vol 12 No 2 (2023): Komputika: Jurnal Sistem Komputer

Implementasi Metode Weighted Moving Average (WMA) Pada Prediksi Harga Bahan Pokok

Fina Ustadatin (Unknown)
Asfan Muqtadir (Universitas PGRI Ronggolawe)
Amaludin Arifia (Universitas PGRI Ronggolawe)



Article Info

Publish Date
21 Sep 2023

Abstract

Staples are goods or commodities that are needed routinely in everyday life. Staples have an important role in meeting food needs. Availability, price, and accessibility of basic commodities can affect people's welfare. Prices of basic commodities tend to experience price volatility. This makes people uneasy and will affect the level of purchase of each staple. The purpose of this research is to predict the price of staple goods in the Tuban district market, East Java. The method used in this study is the Weighted Moving Average (WMA), to predict the price of materials using data on prices of staple foods that existed previously. This method is used in order to obtain accurate forecasting results. The Weighted Moving Average method is suitable for predicting the price of basic commodities, because it is able to provide predictions using existing data, namely previous data and can future prices. The results of this study are that the highest MAPE value is 0.3 for the staple ingredient premium rice, and the lowest MAPE value is 5.3 for the staple ingredient red chili.

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Journal Info

Abbrev

komputika

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

Jurnal Ilmiah KOMPUTIKA adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan kajian analisis kritis di bidang kelimuan bidang Sistem ...