Moneter : Jurnal Keuangan dan Perbankan
Vol. 11 No. 1 (2023)

Implementation Of Extreme Gradient Boosting Algorithm For Predicting The Red Onion Prices

Pungky Nabella Saputri (Dian Nuswantoro University)
Farrikh Alzami (Dian Nuswantoro University)
Filmada Ocky Saputra (Dian Nuswantoro University)
Pulung Nurtantio Andono (Dian Nuswantoro University)
Rama Aria Megantara (Dian Nuswantoro University)
L Budi Handoko (Dian Nuswantoro University)
Chaerul Umam (Ramani, B.V, The Netherlands)
Firman Wahyudi (Dian Nuswantoro University)



Article Info

Publish Date
08 Jan 2023

Abstract

Red Onion or the Latin name Allium Cepa is included in the group of vegetable plants that are needed by the public for food needs. Red Onions are one of the seasonal crops so their availability can change in the market which causes price instability due to a lack of supply of production by several factors: 1) not yet it's harvest time, 2) crop attacked disease pests and fungi, and 3) weather factor. Therefore, a study is needed to predict red onion prices, so that it can be used as information for the government to stabilize red onion prices. The method used in this study is CRISP-DM and the Extreme Gradient Boosting algorithm to predict the price of red onions by taking data samples from Tegal and Pati Cities. The results of this study are that the Extreme Gradient Boosting algorithm is able to produce Tegal District Root Mean Square Error (RMSE) values of 5107.97% and Mean Absolute Percentage Error (MAPE) values of 0.17%. For prediction results with Pati Regency data samples, it produces a Root Mean Square Error (RMSE) value of 6049.74% and a Mean Absolute Percentage Error (MAPE) of 0.17%.

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Journal Info

Abbrev

MONETER

Publisher

Subject

Education

Description

Moneter: Jurnal Keuangan dan Perbankan mempunyai fokus dalam kajian keuangan dan perbankan , dengan scope sebagai berikut: Dasar-dasar keuangan dan perbankan syariah dan konvensional Bisnis Teknologi ...