Forecasting Thinner Number 7 Sales Using ARIMA (Autoregressive Integrated Moving Average) Method
Peramalan Penjualan Thinner Nomor 7 Menggunakan Metode ARIMA (Autoregressive Integrated Moving Average)
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(1) * Luhur Arif Santoso
Universitas Muhammadiyah Sidoarjo
Indonesia
(2) Boy Isma Putra Universitas Muhammadiyah Sidoarjo
Indonesia
(3) Ribangun Bamban Jakaria Universitas Muhammadiyah Sidoarjo
Indonesia
(4) Indah Apriliana Sari W Universitas Muhammadiyah Sidoarjo
Indonesia
(*) Corresponding Author
Abstract
PT. DCN Indonesia is a paint distributor company. In the provision of paint and all devices including thinner often require a keepatan in its provider. This research is done to obtain thinner demand forecasting and determine the amount of stock that must be available in storage in order to at any time meet the impromptu demand that is one of the problems. ARIMA is a forecasting method that is suitable for such cases because it has advantages in the use of data with fluctuating patterns. The results achieved in this study got the ARIMA model (1, 0, 4) which means that the forecasting results are influenced by the results of observations one month ago san error four months ago. obtained the results of the sale of thinner of 8 liters and after going through the calculation of safety stock resulted in inventory planning calculations of 120 liters.
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Copyright (c) 2022 Luhur Arif Santoso, Boy Isma Putra, Ribangun Bamban Jakaria, Indah Apriliana Sari W
This work is licensed under a Creative Commons Attribution 4.0 International License.
