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POWER PRODUCTION PLAN AT PT. INDONESIA POWER USING MULTIPLE LINEAR REGRESSION

PUSPA, JIWANGGA AYUNING (2016) POWER PRODUCTION PLAN AT PT. INDONESIA POWER USING MULTIPLE LINEAR REGRESSION. Skripsi,Fakultas Ilmu Komputer.

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    Abstract

    This study describes the analysis of the amount of electricity production by PT. Indonesia Power in 2015 using four factors that affect the production of electricity itself. Based on these problems, this research using the data mining that is modeled by multiple linear regression algorithm that aims to estimate the amount of electricity production can be produced by PT. Indonesia Power. In the linear regression analysis, there are two variables are dependent and independent variables. The dependent variable in the data used is the amount of electricity production is assumed as Y and the independent variable is the amount of fuel used is assumed as X1, efficiency is assumed as X2 , Disorders of the production machine is assumed as the X3, and Maintenance on the production machine is assumed as X4. Linear regression methods estimate with accuracy the approach has sufficiently precise so that the value of the estimation in the linear regression will not be much different from the estimated value of the original data.

    Item Type: Article
    Subjects: T Technology > Teknik Informatika
    Universitas Dian Nuswantoro > Fakultas Ilmu Komputer > Teknik Informatika
    Divisions: Fakultas Ilmu Komputer
    Depositing User: Psi Udinus
    Date Deposited: 22 Mar 2016 15:18
    Last Modified: 22 Mar 2016 15:18
    URI: http://eprints.dinus.ac.id/id/eprint/18480

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