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Prediction of Office Stationery Needs Using Polynomial Regression Method

Year: 2025

Type: article

Abstract: This study aims to determine the predicted demand for office stationery (ATK) for the upcoming year. The availability of sufficient and appropriate ATK reflects good governance within an organization. To achieve this, accurate and data-driven predictions of ATK needs are essential in the budget planning process. In this study, the method used to predict ATK demand is Second-Order Polynomial Regression. The accuracy of this method is assessed using the Mean Absolute Percentage Error (MAPE). The lower the MAPE value, the better the prediction accuracy. The results of the study indicate that the Polynomial Regression method provides reasonably accurate predictions, with an average MAPE of 22.41%.

Source: Jurnal Multidisipliner Kapalamada.

Authors: Husni Johan, Arsyelina, Waluyo, Edy

Institution: Indonesia Open University

Language: Indonesian

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W7216610967

FWCI:

Cites: 10

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Related to: 10