Peramalan Penjualan Produk Air Minum Dalam Kemasan (AMDK) Kemasan Gelas 220 mL pada Perusahaan XYZ dengan Metode Dekomposisi

This study aims to forecast the sales of bottled drinking water (AMDK) products in 220 ml glass packaging at XYZ Company. The problem faced by the company is the inaccuracy of production planning due to fluctuations in demand, which causes excess and shortage of stock, and has an impact on increasing storage costs and potential delays in distribution. To overcome this, sales forecasting was conducted using historical sales data for 2024 with five time series forecasting methods, namely Moving Average, Simple Exponential Smoothing, Double Exponential Smoothing, Triple Exponential Smoothing, and Decomposition. The evaluation is done using three error measures: Mean Absolute Deviation (MAD), Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE). The analysis showed that the Multiplicative Decomposition method with a seasonal length of 2 is the best method with a MAPE value of 16, MSE 1138, and MAD 2,586,324.

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Publication Details

Journal
Jurnal Teknik Industri Terintegrasi
Published
2025-07-04
DOI
https://doi.org/10.31004/jutin.v8i3.47317
Primary Topic
Management and Optimization Techniques
Type
article
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article

Peramalan Penjualan Produk Air Minum Dalam Kemasan (AMDK) Kemasan Gelas 220 mL pada Perusahaan XYZ dengan Metode Dekomposisi

Aloysius Tommy Hendrawan, Halwa Annisa Khoiri, Heru Andi Pratama
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Jurnal Teknik Industri Terintegrasi
Management and Optimization Techniques
article

Peramalan Penjualan Produk Air Minum Dalam Kemasan (AMDK) Kemasan Gelas 220 mL pada Perusahaan XYZ dengan Metode Dekomposisi

Aloysius Tommy Hendrawan, Halwa Annisa Khoiri, Heru Andi Pratama
article en

Abstract

This study aims to forecast the sales of bottled drinking water (AMDK) products in 220 ml glass packaging at XYZ Company. The problem faced by the company is the inaccuracy of production planning due to fluctuations in demand, which causes excess and shortage of stock, and has an impact on increasing storage costs and potential delays in distribution. To overcome this, sales forecasting was conducted using historical sales data for 2024 with five time series forecasting methods, namely Moving Average, Simple Exponential Smoothing, Double Exponential Smoothing, Triple Exponential Smoothing, and Decomposition. The evaluation is done using three error measures: Mean Absolute Deviation (MAD), Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE). The analysis showed that the Multiplicative Decomposition method with a seasonal length of 2 is the best method with a MAPE value of 16, MSE 1138, and MAD 2,586,324.

Jurnal Teknik Industri TerintegrasiVol. 8(3)
Universitas PGRI Madiun (ID)
Openalex Percentile: Top 74%
Management and Optimization Techniques
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