Rice Production Forecasting System in East Java Using Double Exponential Smoothing Method

Abstract

. Rice (Orza savita L.) is one of the most important carbohydrate-producing food plants in the world, besides wheat and corn. The need for rice continues to increase because the increase in the number of consumers is not balanced with sufficient production. According to BPS (2017), rice production in East Java Province in 2017 amounted to 13.06 million tons of Dry Milled Grain (GKG). The aim of this research is to predict / forecast the yield of rice production in the next period in order to become the target of rice production in the next period. The raised problem is how to predict the rice production. From the data that has been obtained from 1993 to 2017 the data shows increasing gradually which is classified into trend data. Thus, the forecasting method that can be used is the double exponential smoothing method. In the calculation process, it is done by finding S ', S' ', a, b & also the next period of forecasting sessions, using 0 <x <1. From the calculation of alpha 0.1 - 0.9 obtained the smallest MAPE of 3.14 in alpha 0.5. The results of the forecast for the next period increased 13299827.49 tons with an accuracy of 96.86%.

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“…After completing the forecasting calculations, then calculating the MAPE (Mean Absolute Percentage Error) [8,9] value with the formula.…”

Forecasting Ginger Harvest Yields: A Comparative Study of Double Exponential Smoothing and Long Short-Term Memory Models

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Untitled

“…Oleh karena itu metode peramalan yang bisa digunakan dalam meramalkan jumlah kasus covid 19 adalah metode triple exponential smoothing. Banyak sekali peneliti yang menggunakan metode ini dalam meramalkan beberapa objek penelitian [5]- [14]. Dari beberapa penelitian terkait metode triple eksponensial smoothing ini didapatkan tingkat akurasi yang bagus.…”