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

RABIT

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Field Value
 
Title IMPLEMENTASI ALGORITMA REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI PRODUKSI PADI DI KABUPATEN BANTUL
 
Creator Triyanto, Ervan
Sismoro, Heri
Laksito, Arif Dwi
 
Description 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.
Ketersediaan pangan yang cukup dan merata merupakan salah satu pilar perwujudan ketahanan pangan. Setiap tahunnya produksi padi di Kabupaten Bantul selalu berubah-ubah. Metode Regresi Linear Berganda adalah metode peramalan yang menggunakan lebih dari dua faktor yang dapat mempengaruhi hasil sehingga dapat menemukan hasil yang maksimal. Dengan metode Regresi Linear Berganda ini di dapatkan mean absolute deviation (MAD) 0,101 dengan data pelatihan dari tahun 2009 – 2017.  Persamaan Regresi Linear berganda yang didapatkan yaitu Y = 8307,561443282 + 5,9294543706657x1 + 118,28063200866x2 + 175,71009241484x3.
 
Publisher LPPM Universitas Abdurrab
 
Date 2019-07-10
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://jurnal.univrab.ac.id/index.php/rabit/article/view/666
10.36341/rabit.v4i2.666
 
Source Rabit : Jurnal Teknologi dan Sistem Informasi Univrab; Vol 4 No 2 (2019): Juli; 66-75
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab; Vol 4 No 2 (2019): Juli; 66-75
2502-891X
2477-2062
 
Language ind
 
Relation http://jurnal.univrab.ac.id/index.php/rabit/article/view/666/544
 
Rights Copyright (c) 2019 RABIT (Jurnal Teknologi dan Sistem Informasi Univrab)
http://creativecommons.org/licenses/by-sa/4.0/
 

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