PENGARUH BIAYA PRODUKSI TERHADAP HARGA PENJUALAN BUBUK TEH PADA PT. PERKEBUNAN NUSANTARA IV TOBASARI SIDAMANIK DENGAN METODE REGRESI LINEAR BERGANDA

Uni Fiana Silalahi (Unimed Medan)
Arnah . Ritonga (Unimed Medan)

Jurnal KARISMATIKA
Vol 3, No 1 (2017): Karismatika

ABSTRACT  In the electric power system operation required an electrical load forecasting. The method used to forecast electrical load, one of which is a method of linear Regresi(berganda logic). In this research, short-term load forecasting electricity, namely electric load forecasting for the category weekdays, Saturdays, Sundays at the time of peak load on the electrical system Sumbagut. The structure of the regresi variables used are historical load, temperature, and load forecaster to determine the value of each parameter and regersion sets of each of the  variables and model parameter values to the fuzzification process with linear representation up, down, and triangles. After that designing  reasoning rules to get assertive value of each rule based on membership degree obtained and change the value, the weighted average method centered.  Keywords: Regresion linear metodet berganda.