ANALISIS PERAMALAN KEBUTUHAN ENERGI LISTRIK, UJI-T DAN UJI-F MENGGUNAKAN METODE REGRESI LINEAR
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Nababan, Trimaguna
Simamora, Yoakim
Mangapul T, Juara
Simamora, Yoakim
Mangapul T, Juara
Subject
Teknik Elektro
Datestamp
2022-10-11 04:46:13
Abstract :
Electrical energy needs were needed to continue and sustain human life. Every year the need for electrical energy increases. This study aims to predict the need for electrical energy for the next 5 years. This study was conducted to predict the need for electrical energy until 2025 a linear regression method. The linear regression method was a farecasting method based on the predicted result of the relationship between free variable-variables tovariables bound by utilizing past electrical energy data. The result of this study are for the next 5 years the increases in electricity customers by 344.368 people with an average annual increases of 2,92 %, an increases in electricity consumption of 1.222,3 GWh with and average annual increases of 4,08 %, an increases in electricity sales revenue of 32.503.784 million rupiahs with an average annual increases of 3,3 %. The error percentage in this forecast is about 21,36 % against RUPTL data from PT.PLN (persero). The percentage of simultanneous X1 and X2 influence on Y was about 99 %. So that the result of knowns research, can provide and ensure the reserves of electrical energy meet
Electrical energy needs were needed to continue and sustain human life. Every year the need for electrical energy increases. This study aims to predict the need for electrical energy for the next 5 years. This study was conducted to predict the need for electrical energy until 2025 a linear regression method. The linear regression method was a farecasting method based on the predicted result of the relationship between free variable-variables tovariables bound by utilizing past electrical energy data. The result of this study are for the next 5 years the increases in electricity customers by 344.368 people with an average annual increases of 2,92 %, an increases in electricity consumption of 1.222,3 GWh with and average annual increases of 4,08 %, an increases in electricity sales revenue of 32.503.784 million rupiahs with an average annual increases of 3,3 %. The error percentage in this forecast is about 21,36 % against RUPTL data from PT.PLN (persero). The percentage of simultanneous X1 and X2 influence on Y was about 99 %. So that the result of knowns research, can provide and ensure the reserves of electrical energy meet
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