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Forecasting the Price of Rice in Banda Aceh after Covid-19

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  • Fadhlul Mubarak
  • Vinny Yuliani Sundara
  • Nurniswah

Abstract

This research aims to predict the price of rice in Banda Aceh after the occurrence of Covid-19. The last observation carried forward (LOCF) imputation technique has been used to solve the problem of missing values from this research data. Furthermore, the technique used to forecast rice prices in Banda Aceh is auto-ARIMA which is the best ARIMA model based on AIC, AICC, or BIC values. The results of this research show that the ARIMA model (0,0,5) is the best model to predict the prices of lower quality rice I (BKB1), lower quality rice II (BKB2), medium quality rice I (BKM1), medium quality rice II (BKM2), super quality rice I (BKS1), and super quality rice II (BKS2). Based on this model, the results of forecasting rice prices for all qualities show that there was a decline for some time (between September 1, 2023 and September 6, 2023) and then remained constant (between September 6, 2023 and December 31, 2023).

Suggested Citation

  • Fadhlul Mubarak & Vinny Yuliani Sundara & Nurniswah, 2024. "Forecasting the Price of Rice in Banda Aceh after Covid-19," Papers 2411.15228, arXiv.org.
    • Handle: RePEc:arx:papers:2411.15228
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    1. Lamichhane, Sabhyata & Mei, Bin & Siry, Jacek, 2023. "Forecasting pine sawtimber stumpage prices: A comparison between a time series hybrid model and an artificial neural network," Forest Policy and Economics, Elsevier, vol. 154(C).
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