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All Journal Industrika : Jurnal Ilmiah Teknik Industri
Nursamsu, Dimas Ranggamulya
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Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering

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Analisis Peramalan Demand Produk Piping Hydraulic dengan Metode Double Exponensial Smoothing Moving Avarage dan Regresi Linear di PT. X Nursamsu, Dimas Ranggamulya; Debora, Fransisca
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 4 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/wekczw13

Abstract

This study aims to analyze demand forecasting for Piping Hydraulic products at PT. X  using three methods: Double Exponential Smoothing, Moving Average, and Linear Regression. The primary focus of this research is to identify significant patterns from historical demand data to generate more accurate demand predictions. By doing so, the study is expected to assist the company in improving inventory planning accuracy and supporting operational efficiency. Through a quantitative approach, this study compares the three forecasting methods to determine which is most effective in reducing prediction errors. Historical demand data were analyzed to uncover relevant trends and fluctuations, serving as the basis for selecting the appropriate forecasting method. The results indicate that all three methods used were effective in minimizing forecasting errors. Furthermore, the study provides strategic recommendations to help the company develop better production planning and design more efficient inventory policies. These findings are expected to contribute positively to the management of product demand in the future. Keywords: Demand Forecasting, Double Exponential Smoothing, Linear Regression, Moving Average, Operational Efficiency
Co-Authors Fransisca Debora