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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan
Arsil Adlimi
Department of Civil Engineering, Faculty of Environment and Mineral Technology, Universitas Teknologi Sumbawa, Indonesia
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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FORECASTING MODEL OF ONIONS IN SUMBAWA DISTRICT Tri Susilawati; Indra Darmawan; Eka Ardiansyah; Arsil Adlimi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.466 KB) | DOI: 10.30598/barekengvol17iss1pp0505-0512

Abstract

Sumbawa Regency as the second largest shallot producing area in NTB certainly contributes to food security in Sumbawa Regency in particular and in Indonesia in general. This condition certainly needs to make policy makers predict crop yield growth for the following years. This study aims to predict shallot yields for the next 9 years. The data used is secondary data sourced from the Sumbawa District Agriculture Office. There are three trend forecasting methods used, namely least square method, quadratic and exponential trend models. Based on the calculation results, the best forecasting trend model is obtained, namely the exponential trend model with MAPE and MAD values ​​and the largest coefficient of determination (R2). The exponential trend obtained shows a positive trend, namely positive exponential values ​​and positive principal numbers
Co-Authors Eka Ardiansyah Indra Darmawan Tri Susilawati