International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

Demand Forecasting Analysis of Body Scrub Product at PT. XYZ Using Autoregressive Integrated Moving Average (ARIMA) Method

Ni Wayan MutrianiDepartment of Agroindustrial Technology, Faculty of Agricultural Technology, Udayana University, IndonesiaI Ketut SatriawanDepartment of Agroindustrial Technology, Faculty of Agricultural Technology, Udayana University, IndonesiaI Made Mahaputra WijayaDepartment of Agroindustrial Technology, Faculty of Agricultural Technology, Udayana University, Indonesia

Vol 8 No 8 (2024): Volume 8, Issue 8, August 2024 | Pages: 17-25

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 09-08-2024

doi Logo doi.org/10.47001/IRJIET/2024.808003

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Abstract

PT. XYZ is one of the private companies engaged in the cosmetics industry, especially as a manufacturer of SPA products with natural raw materials. The SPA products produced by PT. XYZ are various kinds of scrubs, body scrubs, masks, essential oils, soaps and other products. Body scrub is the most popular product or best seller in this company. The purpose of this study is to find the best ARIMA model in calculating demand forecasting of body scrub products at PT. XYZ for the period January to December 2024. The method used in this research is the Autoregressive Moving Average (ARIMA) method. There are two ARIMA models that can be used in this study, namely ARIMA (1,1,0) and ARIMA (0,1,1). The selected ARIMA model used to calculate body scrub forecasting at PT. XYZ is the ARIMA (1,1,0) model because it has a smaller error value, namely MSE = 745.46 and MAPE = 7.40%. The results of forecasting the demand for body scrub products at PT. XYZ for the period January to December 2024 using the ARIMA (1,1,0) model show that demand has increased every month with an average demand of 343.4 kg. The error obtained by comparing the forecasting results with the actual sales data for 6 months, namely January - June 2024 is 2.45%, which means that the accuracy of forecasting in 6 months reaches 97.55%.

Keywords

ARIMA, body scrub, demand forecasting


Citation of this Article

Ni Wayan Mutriani, I Ketut Satriawan, & I Made Mahaputra Wijaya. (2024). Demand Forecasting Analysis of Body Scrub Product at PT. XYZ Using Autoregressive Integrated Moving Average (ARIMA) Method. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(8), 17-25. Article DOI https://doi.org/10.47001/IRJIET/2024.808003

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