PREDIKSI BEBAN LISTRIK DENGAN METODE REGRESI LINIER DAN EKSPONESIAL

AHMAD AZHARI, NIM. 132016070 (2020) PREDIKSI BEBAN LISTRIK DENGAN METODE REGRESI LINIER DAN EKSPONESIAL. Skripsi thesis, Universitas Muhammadiyah Palembang.

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Abstract

prediction of the average trend is one of the goals to determine the average load size used, therefore linear and eksponensial regression methods need to be used in making forecasts. The purpose of this research is to use linear and exponential regression method to see the average power used and to see the error data on the feeder singkarak. Based on the calculations carried out at the substation form in the singkarak feeder using linear and exponential regression methods to see the average in the annual data, it can be divided into two groups, to find the predictive equality value and the error value. From the data obtained, the accuracy is good with 10% error data, so this forecast is good to do.

Item Type: Thesis (Skripsi)
Additional Information: Pembimbing, 1. Erliza Yuniarti, ST,. M.Eng 2. Sofiah, ST., MT
Uncontrolled Keywords: Keywords : Trend Moment, regresi linier and eksponesial.
Subjects: Elektro > Pengujian dan Pengukuran Listrik
Divisions: Fakultas Teknik > Teknik Elektro (S1)
Depositing User: Mahasiswa Fakultas Teknik
Date Deposited: 30 Nov 2021 03:12
Last Modified: 30 Nov 2021 03:12
URI: http://repository.um-palembang.ac.id/id/eprint/19135

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