Open AccessPREDIKSI ALOKASI JUMLAH PRODUKSI MINYAK SAWIT DENGAN METODE REGRESI LINIER BERGANDA PADA PT. PALM LAMPUNG PERSADA
Author(s) -
Sidik Rahmatullah,
Dita Destia
Publication year - 2018
Publication title -
jurnal informasi dan komputer
Language(s) - English
Resource type - Journals
eISSN - 2623-1247
pISSN - 2337-8344
DOI - 10.35959/jik.v6i2.114
Subject(s) - palm oil , mathematics , variables , regression analysis , linear regression , production (economics) , agricultural engineering , statistics , agricultural science , environmental science , engineering , economics , macroeconomics
PT. Palm Lampung Persada Way Kanan is a company engaged in oil palm plantations that produce crude palm oil. This company often experiences problems in the allocation of palm oil production.This research was conducted using multiple linear regression method to predict the allocation of the amount of palm oil production based on learning data using Microsft Excel 2010 and RapidMiner applications. In this study there are dependent variables (free) and independent variables (bound), namely: dependent variable (raw material, amount of labor, rainfall and land area) while the independent variable (palm oil).Calculations using multiple linear regression methods in determining the allocation of the amount of palm oil production can be used to assist companies in making a decision with predictive value close to the original data processed as learning data with a result of 170.811 and original data of 170 and an error value of 0.002.