IMPLEMENTASI METODE REGRESI LINIER BERGANDA UNTUK ESTIMASI PENYAKIT GANODERMA DI PT NAKAU
Abstract
The agricultural sector in Indonesia is divided into three types, namely plantations, rice fields and fields. Of the three types of agricultural sector, the plantation sector is more in demand because plantation type agriculture tends to have a high selling value, large-scale cultivation, and its increasing attractiveness. The plantation sector in Indonesia is dominated by oil palm, cocoa, rubber, sugar cane and coffee, of which oil palm is the most profitable. PT. Nakau is a company belonging to the type of private large plantation (PBS).
This researcher aims to find out the calculation of the estimated ganoderma disease using the multiple linear regression method with the Excel and Rapidminer applications in 2021. And to analyze the results of the multiple linear regression method calculations, so that ganoderma disease predictions can be known and early treatment can be carried out so as to optimize coconut production. palm oil at PT Nakau.
The prediction results from 2016-2020 for 2021 have 1054,688 results from RapidMiner calculations and calculations on Microsoft Excel which get 767,641 results which have a difference of 28%, so it can be concluded that the estimation of ganoderma disease in 2021 is 768 to 1,055 stems affected by ganoderma disease. This prediction will be able to help PT Nakau in tackling the ganoderma disease that will attack oil palm plantations in 2021.
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References
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