Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)

Analyzing the Pandemic Effect on Time series Prediction of Demand and Sales Manufacturing Product

Authors
Nur Azizah, Nur Indah Riwajanti, Nurafni Eltivia, Aang Efendi
Corresponding Author
Nur Azizah
Available Online 19 July 2021.
DOI
10.2991/aebmr.k.210717.052How to use a DOI?
Keywords
demand forecasting, sales forecasting, time series forecasting
Abstract

The purpose of this study is to predict the demand and sales of plastic products in 2021 accompanied by the Covid 19 pandemic. This research is a quantitative descriptive study using time series forecasting methods and data analysis using Microsoft Excel. The data used as research is sales and monthly demand data for the years 2018-2020, totaling thirty-six data. Data collection was done by using documentation method. Analysis of the 2018-2020 data shows fluctuating demand and sales data. The 2018-2020 sales data research revealed fluctuations in demand and sales, influenced by the general annual season and the impact of the Covid 19 pandemic. Analysis of the demand forecast for 2021 gives the highest demand results in December and the lowest demand in June. Forecasting sales, the highest result in October, and the lowest sales in June. This means that fluctuations in demand and sales are affected by seasonality and government regulations. Based on this analysis, it can be concluded that forecasting using the time series forecasting method gives inaccurate results because there are many unexpected events, one of which is the Covid-19 pandemic which causes the local government to issue new regulations for sellers of examples of changes in selling prices. Therefore, the company must prepare the right strategy to deal with events that do not match expectations.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
19 July 2021
ISBN
10.2991/aebmr.k.210717.052
ISSN
2352-5428
DOI
10.2991/aebmr.k.210717.052How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Nur Azizah
AU  - Nur Indah Riwajanti
AU  - Nurafni Eltivia
AU  - Aang Efendi
PY  - 2021
DA  - 2021/07/19
TI  - Analyzing the Pandemic Effect on Time series Prediction of Demand and Sales Manufacturing Product
BT  - Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)
PB  - Atlantis Press
SP  - 258
EP  - 262
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210717.052
DO  - 10.2991/aebmr.k.210717.052
ID  - Azizah2021
ER  -