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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Indonesian Journal of Artificial Intelligence and Data Mining SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming AS-SABIQUN: Jurnal Pendidikan Islam Anak Usia Dini Teknika Jurnal Riset dan Inovasi Pembelajaran
Lestari, Wulan Sri
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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

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Forecasting Climate Change Patterns to Improving Rice Harvest Using SVR for Achieving Green Economy Juliandy, Carles; Kelvin, Kelvin; Halim, Apriyanto; Pipin, Sio Jurnalis; Sinaga, Frans Mikael; Lestari, Wulan Sri
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 2 (2024): September 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i2.32393

Abstract

The consistently declining rice harvest will cause several economic and environmental problems. The unstable and unpredictable climate change was believed as the main problem of the declining rice harvest. We proposed a method for forecasting climate change to help the farmer in their rice cultivation. We used Support Vector Regression (SVR) to improve algorithm steps such as normalizing the data and applying an Adaptive Linear Combiner (ALC) to optimize the dataset before we processed it with the algorithm. Our model gets 95% accuracy as measured with the confusion matrix. We believe our model will help the farmers in their rice cultivation with good climate forecasting. A further benefit of this research we belief that with the well-forecasted climate, the usage of pesticides will decrease and will help the vision of the Indonesian government with a green economy
Co-Authors Apriyanto Halim Carles Juliandy Caroline Gaol, Manto Lumban Gunawan Gunawan Hanes Hanes, Hanes Hanny Siagian Irawati, Riana Kelvin Kelvin Maulana Maulana, Maulana Paulus Paulus Pipin, Sio Jurnalis Ronsen Purba Saragih, Yuni Marlina Sinaga, Frans Mikael Ulina, Mustika William William Winardi, Sunaryo