Application of SARIMA model in forecasting vegetable price in Malaysia: E-commerce platform domain

The researchers seek the potential of an agricultural E-Commerce platform with price forecasting model in solving the current national issues as the forecast of vegetable price is vital for decision making in agriculture sector. In particular, the COVID-19 pandemic affected a lot of sectors especial...

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Hauptverfasser: Choong, Kar Yan, Sudin, Suhizaz, Raof, Rafikha Aliana A., Ong, Rhui Jaan, Al-Hadi, Azremi Abdullah, Yacob, Yasmin, Binti Mhd Nasir, Siti Nurulhudda
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:The researchers seek the potential of an agricultural E-Commerce platform with price forecasting model in solving the current national issues as the forecast of vegetable price is vital for decision making in agriculture sector. In particular, the COVID-19 pandemic affected a lot of sectors especially the agricultural sector. The idea of this study is to design and develop an E-Commerce platform to allow everyone especially the small farmers to sell their products online which it is relevant to the Malaysia's government policy that six thrust areas have been identified under the National E-Commerce Strategic Roadmap to accelerate E-Commerce growth. It aims to construct and optimize the vegetable price forecasting model which employed Seasonal Autoregressive Integrated Moving Average (SARIMA) and displayed in dashboard of the newly designed and developed agricultural E-Commerce platform.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0196278