Proyeksi Kebutuhan Energi Listrik dengan Metode Regresi Linear Berganda di UP3 Mojokerto Tahun 2022 sampai 2027

Authors

  • Mirelle Ferent Hasnitha Universitas Jember
  • RB. Moch. Gozali Universitas Jember
  • Suprihadi Prasetyono Universitas Jember

DOI:

https://doi.org/10.31328/jasee.v4i02.427

Keywords:

Electrical Energy Demand, Forecasting, Multiple Linear Regression, UP3 Mojokerto

Abstract

Demand for the availability of electrical energy in the future requires good planning and forecasting. Based on data from BPS (Badan Pusat Statik) East Java, the population and the number of electricity customers in East Java province has increased every year. So a forecasting can be done to find out the estimated demand for electrical energy needs in the future. In this study using multiple regression analysis method to project electricity demand in UP3 Mojokerto from 2022 to 2027. The results of the 2022 projection will be compared with the actual data in 2022 for data validation with the calculation of MAPE (Mean Absolute Percent Error). The resulting MAPE value is less than 10%, which means that this multiple linear regression method is a very good method used to project electrical energy demand at UP3 Mojokerto in 2022-2027. That way, the results of projected electrical energy demand with multiple linear regression methods in UP3 Mojokerto in 2022 amounted to 4,937,341 MWh, and in 2023 to 2027 the projected electrical energy demand increased successively by 5,323,722 MWh, 5,721,631 MWh, 6,131,543 MWh, 6,553,951 MWh, and 6,989,371 MWh. With an average growth from 2022 to 2027 of 6.30%.

References

(2018) BPS website. [online]. Tersedia: https://jatim.bps.go.id/

Ramadhani, A. K. 2022. Analisis Proyeksi Kebutuhan Energi Listrik Jangka Panjang pada Sektor Rumah Tangga dengan Metode Regresi Linear aan BAU (Base As Ussual) Menggunakan Software LEAP. Jember: Universitas Jember.

Zain, Umar. 2021. Peramalan Kebutuhan Energi Listrik di Kota Tegal dengan Metode Analisis Regresi Linier Menggunakan Software Minitab V19. Semarang: Universitas Islam Sultan Agung.

Pradana, A.P., Windarto, J., dan Winardi, B. 2011. Perkiraan Konsumsi Energi Listrik APJ Cilacap Tahun 2011-2016 dengan Menggunakan Software LEAP.

Purnama, M.W. 2021. Peramalan Kebutuhan Energi Listrik Jangka Panjang Sektor Rumah Tangga UID Jawa Timur Menggunakan Metode Analysis Time Series : Proyeksi Tren Quadratic dan Regresi Linear Berbasis Software Minitab V19. Jurnal Teknik Elektro, 10(02), 485-495.

Putri, M. N. 2022. Proyeksi Kebutuhan Energi Listrik Jangka Panjang di PT PLN (Persero) UP3 Surabaya Selatan dengan Metode Regresi Linear Berganda Tahun 2021 sampai 2025. Jember: Universitas Jember.

Antonov, dan A. Rahman. 2015. Prakiraan dan Analisa Kebutuhan Energi Listrik Provinsi Sumatera Barat hingga Tahun 2024 dengan Metode Analisis Regresi Linear Berganda. Jurnal Teknik Elektro ITP, 4(2), 34-43.

Yuliara, I. M. 2016. Modul Regresi Linier Berganda. Universitas Udayana, 18

Published

2023-11-14

How to Cite

Mirelle Ferent Hasnitha, RB. Moch. Gozali, & Suprihadi Prasetyono. (2023). Proyeksi Kebutuhan Energi Listrik dengan Metode Regresi Linear Berganda di UP3 Mojokerto Tahun 2022 sampai 2027. JASEE Journal of Application and Science on Electrical Engineering, 4(02), 22–32. https://doi.org/10.31328/jasee.v4i02.427

Issue

Section

Electrical and Electronics