Implementation Of The Double Exponential Smoothing Method In Determining The Planting Time In Strawberry Plantations

Fadly Shabir, Ahmad Irfan Abdullah, B. Asrul, Sitti Alifah Amilhusna Nur
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引用次数: 1

Abstract

Purpose: This research aims to provide recommendations for planting season based on predictions of rainfall, air temperature, and wind speed based on the website.Design/methodology/approach: This study implemented the Double exponential smoothing to predict rainfall, air temperature, and monthly wind speed one year in the future using past data.Findings/result: This study has succeeded in providing recommendations for planting season. Based on the results of the accuracy calculation between the prediction results and the actual data using the Mean Absolute Percetage Error (MAPE), each has a forecast error value of 30.69% for rainfall, 0.63% air temperature, and 5.89% wind speed. Originality/value/state of the art: Research related to the application of Double exponential smoothing to determine the planting period. Based on the results of the accuracy calculation between the prediction results and the actual data using Mean Absolute Percetage Error (MAPE), this has never been done in previous studies.
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双指数平滑法在草莓种植期确定中的应用
目的:本研究的目的是基于网站对降雨量、气温和风速的预测,为种植季节提供建议。设计/方法/方法:本研究采用双指数平滑法,利用过去的数据预测未来一年的降雨量、气温和月风速。发现/结果:本研究成功地为种植季节提供了建议。利用平均绝对百分比误差(Mean Absolute percentage Error, MAPE)对预报结果与实际数据的精度计算结果表明,降水、气温和风速的预报误差分别为30.69%、0.63%和5.89%。原创性/价值/技术水平:应用双指数平滑法确定种植期的相关研究。基于使用平均绝对百分比误差(Mean Absolute percentage Error, MAPE)计算预测结果与实际数据之间的精度结果,这在以往的研究中从未做过。
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发文量
7
审稿时长
24 weeks
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