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534     Fakultas Sains dan Teknologi
                   Universitas Terbuka (2023)



                 INTRODUCTION

                       The demand for salt in Indonesia has reached 4.5 million
                 tons, consisting of 3.7 million tons for industrial use and 0.8 million
                 tons for consumption (Lokadata, 2020; Kemenperin, 2022). As raw
                 and auxiliary materials, this need continues to increase along with
                 population growth and salt-using industries (Iswanto & Purmalino
                 2019). On the other side, Indonesia’s average sea salt harvest is
                 only around 1.7 million tons/year. Salt yields are only able to meet
                 domestic food salt needs (Rusdi, 2018). Meanwhile, to meet the total
                 demand for salt, the government imports it (Simamora et al., 2021).
                       Ideally, the planned amount of salt imports should consider
                 the current year’s salt harvest (Kurniawan & Bramawanto, 2018).
                 However, uncertainty over the achievement of the salt production
                 target is still relatively high. Therefore, we need a scientific approach
                 that can accurately estimate salt harvest. The prognosis of the salt
                 balance  can  be  estimated  more  accurately  with  predictions  of
                 domestic salt production and “as necessary” import plans. So that
                 the national salt needs can be met and the year-end stock is not in a
                 state of deficit or excessive surplus. Thus, salt stocks can guarantee
                 the sustainability of industries that use salt as raw materials from
                 salt scarcity resulting from a stock deficit and prevent farmers from
                 losses due to falling prices triggered by excessive surplus salt stocks.
                 The bullwhip effect can be avoided (Novianti et al., 2022).
                       The weather data has been widely used to estimate the yield
                 of various agricultural products and adaptive strategies to changing
                 rain patterns due to climate change. For example, Antony (2021)
                 predicts the harvest of food commodities in South India, especially
                 rice, using rainfall data as one of the predictors. Kumi et al. (2023)
                 also studied the impact of rainfall onset date on crop yield in Ghana.
                 Changes in rainfall patterns due to climate change led researchers
                 to observe adaptive rice crop management strategies carried out
                 by farmers in Indonesia (Matsuura & Sakagami, 2022). The study
                 conducted by Ruminta and Nurmala (2017) also succeeded in
                 making accurate and potential rainfall simulations and predictions
                 to predict rainfall and crop production in West Java.
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