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Ervan Triyanto
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Computer Science & IT Engineering

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IMPLEMENTASI ALGORITMA REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI PRODUKSI PADI DI KABUPATEN BANTUL Ervan Triyanto; Heri Sismoro; Arif Dwi Laksito
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 4 No 2 (2019): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1059.528 KB) | DOI: 10.36341/rabit.v4i2.666

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.
Co-Authors Arif Dwi Laksito Heri Sismoro