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Application of Singular Spectrum Analysis (SSA) Method to Forecast Rice Production in West Sumatra

Artikel nazifatul azizah

Authors

  • Nazifatul Azizah Universitas negeri padang
  • Fadhilah Fitri
  • Dodi Vionanda
  • Zamahsary Martha

DOI:

https://doi.org/10.24036/ujsds/vol1-iss3/58

Abstract

The imbalance between the population and rice production will cause various negative impacts such as food crises and increasing poverty, so forecasting needs to be done to maintain food availability in the future. This study aims to determine the results of rice production in West Sumatra Province for 12 periods in 2023 using the SSA method. Based on the results of the analysis, rice production in 2023 for 12 periods tends to decrease compared to the previous year. Forecasting rice production using the SSA method with L=21 can be said to be accurate with a MAPE obtained of 17.69%.

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Published

2023-05-31

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How to Cite

Azizah, N., Fadhilah Fitri, Dodi Vionanda, & Zamahsary Martha. (2023). Application of Singular Spectrum Analysis (SSA) Method to Forecast Rice Production in West Sumatra : Artikel nazifatul azizah. UNP Journal of Statistics and Data Science, 1(3), 126–133. https://doi.org/10.24036/ujsds/vol1-iss3/58

Issue

Vol. 1 No. 3 (2023): UNP Journal of Statistics and Data Science

Section

Articles

License

Copyright (c) 2023 Nazifatul Azizah, Fadhilah Fitri, Dodi Vionanda, Zamahsary Martha

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.