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All Journal Indonesian Journal of Applied Informatics
Muhamad Nur Azmi Wahyudi
Vocational Teacher Education, Faculty of Teacher Training and Education, Universitas Sebelas Maret
Computer Science & IT

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Soil Temperature and Moisture Forecasting Using Exponential Smoothing Method Based on Mean Absolute Percentage Error Muhamad Nur Azmi Wahyudi; Cucuk Wawan Budiyanto; Mohd. Shafie bin Bakar
IJAI (Indonesian Journal of Applied Informatics) Vol 8, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v8i2.73272

Abstract

Soil is an essential medium for almost all plants. Temperature and moisture in the soil become one of the factors that affect plant growth. Unbalanced or unfavorable soil conditions will adversely affect the plant. Therefore, soil conditions, including temperature and moisture, must be monitored to maintain plant health. Forecasting can be used to find out the soil condition in the future so that strategies can be prepared to deal with these conditions. This forecasting is carried out based on existing soil temperature and moisture data, which is then processed using the exponential smoothing method and mean absolute percentage error as a reference for the error rate or accuracy of the forecasting. The application of these methods succeeded in producing forecasting with very good overall accuracy.
Co-Authors Cucuk Wawan Budiyanto Mohd. Shafie bin Bakar