Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) Method

Diamond Cell is a specialized retailer that offers a diverse range of smartphone accessories, electronic credits, and internet vouchers from different providers, each with varying active periods. However, the uncertainty surrounding internet voucher sales transactions often leaves counter owners hes...

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Main Authors: Kris Rahayu, Putri Taqwa Prasetyaningrum
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2023-03-01
Series:Journal of Information Systems and Informatics
Subjects:
Online Access:https://journal-isi.org/index.php/isi/article/view/450
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author Kris Rahayu
Putri Taqwa Prasetyaningrum
author_facet Kris Rahayu
Putri Taqwa Prasetyaningrum
author_sort Kris Rahayu
collection DOAJ
description Diamond Cell is a specialized retailer that offers a diverse range of smartphone accessories, electronic credits, and internet vouchers from different providers, each with varying active periods. However, the uncertainty surrounding internet voucher sales transactions often leaves counter owners hesitant to increase their stock due to the short active period of the vouchers. This leads to frequent customer dissatisfaction as the internet vouchers run out, resulting in lost sales opportunities. To address this issue, this study aimed to predict voucher sales for the upcoming month to serve as a reference for calculating the stock of voucher supply. The Auto-regressive Integrated Moving Average (ARIMA) method was used based on voucher sales data from November 2022 to January 2023. Out of the three tentative models obtained, only one proved suitable for use. The best ARIMA model was the (2,1,0) model, with a MAD value of 29.65, an MSE value of 2409.95, and a MAPE value of 23.3%. Based on the February voucher sales, the stock level can remain the same as the previous period since the sales were stable. The findings of this study can help Diamond Cell counter owners make more informed decisions about stocking internet vouchers, resulting in better customer satisfaction and reduced likelihood of losses.
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spelling doaj.art-1d7f89cd488f42e2b39a00936292ca612023-03-07T17:03:12ZengInformatics Department, Faculty of Computer Science Bina Darma UniversityJournal of Information Systems and Informatics2656-59352656-48822023-03-015127128410.51519/journalisi.v5i1.450450Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) MethodKris Rahayu0Putri Taqwa Prasetyaningrum1Universitas Mercu Buana YogyakartaUniversitas Mercu Buana YogyakartaDiamond Cell is a specialized retailer that offers a diverse range of smartphone accessories, electronic credits, and internet vouchers from different providers, each with varying active periods. However, the uncertainty surrounding internet voucher sales transactions often leaves counter owners hesitant to increase their stock due to the short active period of the vouchers. This leads to frequent customer dissatisfaction as the internet vouchers run out, resulting in lost sales opportunities. To address this issue, this study aimed to predict voucher sales for the upcoming month to serve as a reference for calculating the stock of voucher supply. The Auto-regressive Integrated Moving Average (ARIMA) method was used based on voucher sales data from November 2022 to January 2023. Out of the three tentative models obtained, only one proved suitable for use. The best ARIMA model was the (2,1,0) model, with a MAD value of 29.65, an MSE value of 2409.95, and a MAPE value of 23.3%. Based on the February voucher sales, the stock level can remain the same as the previous period since the sales were stable. The findings of this study can help Diamond Cell counter owners make more informed decisions about stocking internet vouchers, resulting in better customer satisfaction and reduced likelihood of losses.https://journal-isi.org/index.php/isi/article/view/450arima, forecasting, sales, internet vouchers.
spellingShingle Kris Rahayu
Putri Taqwa Prasetyaningrum
Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) Method
Journal of Information Systems and Informatics
arima, forecasting, sales, internet vouchers.
title Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) Method
title_full Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) Method
title_fullStr Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) Method
title_full_unstemmed Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) Method
title_short Sales Prediction on the Diamond Cell Counter Using Autoregresive Integrated Moving Average (ARIMA) Method
title_sort sales prediction on the diamond cell counter using autoregresive integrated moving average arima method
topic arima, forecasting, sales, internet vouchers.
url https://journal-isi.org/index.php/isi/article/view/450
work_keys_str_mv AT krisrahayu salespredictiononthediamondcellcounterusingautoregresiveintegratedmovingaveragearimamethod
AT putritaqwaprasetyaningrum salespredictiononthediamondcellcounterusingautoregresiveintegratedmovingaveragearimamethod