Cocoa price prediction in North Sumatra using Singular Spectrum Analysis (SSA) Algorithm

نویسندگان

چکیده

The implementation of agricultural development is basically aimed at increasing the welfare people, especially farmers, providing a source foreign exchange through exports, supplying food and industrial raw materials, alleviating poverty, employment improving people's income. Cocoa leading commodity which income for farmers in North Sumatra. Price fluctuations sometimes make suffer losses, so it necessary to cocoa price prediction anticipate future losses. This study aims determine results prices Sumatra 2023 accuracy method used. obtained Province using Singular Spectrum Analysis (SSA) from January December, respectively, Rp. 34876 January, February 33967, March 33446, April RP 33725, May 33986, June Rp 33916, July 34196, predictionin August 34841, September 35228, October 3479, November 344517, December 34770 with level based on standard MAPE value 0.96%. indicates that SSA approach Windows length 18 14 groups very accurate because less than 10% close 0%.

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ژورنال

عنوان ژورنال: Sinkron : jurnal dan penelitian teknik informatika

سال: 2023

ISSN: ['2541-2019', '2541-044X']

DOI: https://doi.org/10.33395/sinkron.v8i3.12559