IMPLEMENTASI ALGORITMA REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI PRODUKSI PADI DI KABUPATEN BANTUL

  • Ervan Triyanto Informatika, Ilmu Komputer, Universitas Amikom Yogyakarta
  • Heri Sismoro Informatika, Ilmu Komputer, Universitas Amikom Yogyakarta
  • Arif Dwi Laksito Universitas Amikom Yogyakarta
Keywords: Multiple linear regression, Prediction of rice production

Abstract

Sufficient and equitable food availability is one of the pillars of the realization of food security. Every year rice production in Bantul Regency is always changing. Multiple Linear Regression Method is a forecasting method that uses more than two factors that can influence the results so that it can find maximum results. With this method of Multiple Linear Regression, get the mean absolute deviation (MAD) 0.101 with training data from 2009 - 2017. Multiple linear regression equations obtained were Y = 8307,561443282 + 5,9294543706657x1 + 118,28063200866x2 + 175,71009241484x3.

Published
2019-07-10
How to Cite
Triyanto, E., Sismoro, H., & Laksito, A. (2019). IMPLEMENTASI ALGORITMA REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI PRODUKSI PADI DI KABUPATEN BANTUL. Rabit : Jurnal Teknologi Dan Sistem Informasi Univrab, 4(2), 66-75. https://doi.org/10.36341/rabit.v4i2.666
Section
Articles
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