Article Per Year (5 Year)
p-Index From 2020 - 2025
1.776
P-Index
This Author published in this journals
All Journal Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Jurnal Mantik Penusa Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) Jurnal Riset Informatika Journal of System and Computer Engineering Jurnal Sains Indonesia JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Pengabdian Mandiri Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Indah Purwandani
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of System and Computer Engineering

 1 
Penerapan Metode Stacking Untuk Meningkatkan Akurasi Hasil Peramalan Konsumsi Listrik Nurfia Oktaviani Syamsiah; Indah Purwandani
Journal of System and Computer Engineering (JSCE) Vol 4 No 1 (2023): JSCE: Januari 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v4i1.665

Abstract

Forecasting is one effort that is often carried out by every institution with various business fields. Electricity consumption is a problem that requires a solution in the form of a forecasting model. The electricity consumption data is in the form of time series data which when used for forecasting can be in the form of univariate data or multivariate data. Forecasting using univariate data will be carried out in this study by utilizing the stacking method with the hope of producing a low RMSE value so that the accuracy of the research results becomes better. Besides that, the stacking method will also be applied to three different data intervals to find out the type of interval that is able to provide the smallest error value. Based on the research results, it was found that the application of stacking was able to reduce the RMSE value by 0.7%. In addition, the fact is also generated that the shortest data interval is better able to provide the smallest RMSE with a difference of about 7% with a longer interval.
Co-Authors Arvel Fausta Raynor Devy Sofyanty Muhammad Sony Maulana Nurfia Oktaviani Syamsiah Rosmita Rosmita Rosmita Rosmita, Rosmita Sahirah Aliffiana Sismadi Sismadi sismadi, sismadi Sumanto, Sumanto Umi Faddillah Yundari, Yundari