Prediksi Beban Listrik  PT. PLN (Persero) Area Semarang  Menggunakan Metode Support Vector Regression

Andika Putra Pratama; Sukmawati Nur Endah

doi:10.14710/jmasif.12.1.41017

DOI: https://doi.org/10.14710/jmasif.12.1.41017

Prediksi Beban Listrik PT. PLN (Persero) Area Semarang Menggunakan Metode Support Vector Regression

Andika Putra Pratama, Sukmawati Nur Endah

Universitas Diponegoro, Indonesia

Published: 29 Aug 2021.

Editor(s): Jurnal Masyarakat Informatika

Citation Format:

Abstract

Tren kenaikan konsumsi listrik dan tidak stabilnya beban listrik puncak bulanan membuat PT. PLN (Persero) sebagai penyedia layanan listrik perlu melakukan perencanaan produksi yang matang agar dapat melakukan penjadwalan perawatan sistem tenaga listrik serta penyediaan cadangan bahan bakar untuk menjaga keberlangsungan produksi listrik. Perencanaan produksi listrik untuk keperluan penjadwalan perawatan sistem dan penyediaan cadangan bahan bakar dilakukan dengan melakukan prediksi beban listrik jangka menengah. Penelitian ini menyajikan hasil prediksi beban listrik menggunakan metode Support Vector Regression dengan menggunakan fitur prediktor yang terdiri dari beban listrik, daya tersambung, jumlah pelanggan listrik, dan PDRB-ADHB. Data yang digunakan berasal dari PT. PLN (Persero) Area Semarang sejumlah 75 data (Juni 2011 - Desember 2017) dan data dari BPS Kota Semarang sejumlah 7 data (2010 – 2016). Hasil penelitian menunjukkan nilai error menggunakan MAPE yang diperoleh sebesar 4,03 % untuk nilai parameter terbaik C = 108, ɛ = 106, dan fungsi Kernel Linear, dengan fitur prediktor terbaik adalah daya tersambung dan jumlah pelanggan listrik. Data prediksi bulan Oktober – Desember 2017 didapatkan hasil nilai error MAPE sebesar 3,0384 %.

Fulltext View|Download

Keywords: Prediksi, Beban Listrik, Support Vector Regression

Article Metrics:

Article Info

Section: Research Article

Language : ID

In Vol 12, No 1 (2021): JURNAL MASYARAKAT INFORMATIKA

Recent articles

Perbandingan Algoritma A-Star dan Dijkstra pada Pencarian Jalur Evakuasi Tsunami Terpendek Menuju Shelter di Kabupaten Bantul Berbasis Aplikasi Android Usability Testing untuk Platform Pembelajaran Dan Pembuatan Sistem Tertanam Berbasis Mbed Prediksi Beban Listrik PT. PLN (Persero) Area Semarang Menggunakan Metode Support Vector Regression More recent articles

Most cited articles

OPTICAL CHARACTER RECOGNITION MENGGUNAKAN ALGORITMA TEMPLATE MATCHING CORRELATION Enterprise Architecture Model untuk Aplikasi Government KLASIFIKASI UCAPAN KATA DENGAN SUPPORT VECTOR MACHINE APLIKASI SISTEM INFORMASI GEOGRAFIS BERBASIS WEB PENYEBARAN DANA BANTUAN OPERASIONAL SEKOLAH ANALISA PERFORMA METODE COSINE DAN JACARD PADA PENGUJIAN KESAMAAN DOKUMEN More cited articles

Last update:

No citation recorded.

Last update: 2024-11-14 05:18:07

No citation recorded.

The authors who submit the manuscript must understand that the article's copyright belongs to the author(s) if accepted for publication. However, the author(s) grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors should also understand that their article (and any additional files, including data sets, and analysis/computation data) will become publicly available once published under that license. See our copyright policy. By submitting the manuscript to Jmasif, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

their article is original, written by the mentioned author(s),
has never been published before,
does not contain statements that violate the law, and
does not violate the rights of others, is subject to copyright held exclusively by the author(s), is free from the rights of third parties, and the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article in any repository, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (Jurnal Masyarakat Informatika).

Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. Jmasif will not be held responsible for anything arising because of the writer's internal dispute. Jmasif will only communicate with correspondence authors.

Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. Jmasif allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Jmasif to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.