DOI : https://doi.org/10.62527/ijasce.4.2.77

Implementation of The Moving Average Method for Forecasting Inventory in CV. Tre Jaya Perkasa

Putri Huriati (1), Aldo Erianda (2), Alde Alanda (3), Dwiny Meidelfi (4), - Rasyidah (5), - Defni (6), Ade Irma Suryani (7)
(1) Department of Information Technology, Politeknik Negeri Padang, West Sumatera, Indonesia
(2) Department of Information Technology, Politeknik Negeri Padang, West Sumatera, Indonesia
(3) Department of Information Technology, Politeknik Negeri Padang, West Sumatera, Indonesia
(4) Department of Information Technology, Politeknik Negeri Padang, West Sumatera, Indonesia
(5) Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
(6) Department of Information Technology, Politeknik Negeri Padang, West Sumatera, Indonesia
(7) Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan
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How to cite (IJASEIT) :
Huriati, P., Erianda, A., Alanda, A., Meidelfi, D., Rasyidah, .-., Defni, .-., & Suryani, A. I. (2022). Implementation of The Moving Average Method for Forecasting Inventory in CV. Tre Jaya Perkasa. International Journal of Advanced Science Computing and Engineering, 4(2), 67–75. https://doi.org/10.62527/ijasce.4.2.77
Citation Format :
The supply chain is an organization's place to distribute production goods and services to customers. This chain is a network of various organizations that are interrelated and have the aim of carrying out the procurement or supply of goods. Inventory is storing goods in the form of raw materials, semi-finished goods or finished goods that will be used in the production or distribution process. CV. Tre Jaya Perkasa is a company engaged in the distribution of goods such as snacks, drinks and daily necessities. CV. Tre Jaya Perkasa is located in Solok, West Sumatra, Indonesia. From January 2020 to June 2021, CV. Tre Jaya Perkasa has made more than 10 thousand transactions. Based on the sales data, each period (month) of sales transactions can increase and decrease, and the company must plan product sales in the coming period. To maximize profits and minimize losses, a strategy is needed to maintain the availability of goods that are often purchased by customers. From historical transaction data, the company can predict how much stock should be provided for transactions in the coming period. The method used is the moving average method, to measure the error rate of forecasting, MAD, MSE and MAPE are used. Based on the research that has been done, then carried out on the product Trick Potato Biscuit BBQ 24 BOX X 10X18 forecasting comparison between using 3 periods and 5 periods, using 5 product data that are most often purchased by buyers, it was found that the average value of MAD, MSE and MAPE closer to 0 is to use 3-period forecasting.

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