Published: 2025-07-01

Prediksi Potensi Suatu Wilayah Menggunakan Machine Learning

DOI: 10.35870/jtik.v9i3.3480

Tarwoto, Ratri Ismayanti, Vita Dwi Utami, Vellyn Chalista Elfanza
  • Tarwoto: Universitas Amikom Purwokerto , Indonesia
  • Ratri Ismayanti: Universitas Amikom Purwokerto , Indonesia
  • Vita Dwi Utami: Universitas Amikom Purwokerto , Indonesia
  • Vellyn Chalista Elfanza: Universitas Amikom Purwokerto , Indonesia
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Abstract

Electricity has become a basic need for some human beings because all activities are almost related to electricity. Indonesia has several power plant projects and the largest power plant is generated from PLTU which can have an impact that we feel is greenhouse gas emissions and bad air pollution and also relies heavily on coal while the natural resources are not renewable with this fact if we reduce the use of coal it will be a boomerang for Indonesia itself. This research aims to predict areas that can potentially become Solar Power Plants with a machine learning regression model approach. So hopefully this research can be a reference in the development of Solar Power Plants in Indonesia. The methods used are Linear Regression (LR), Lasso Regression (LR), Ridge Regression (RR), and Support Vector Regression (SVR). The R2 coefficients for solar radiation were 0.924; 0.910; 0.917; 0.949; and 0.987, respectively.

Keywords

Liniear Regression ; Lasso Regression ; Ridge Regression ; Support Vector Regression

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How to Cite

Tarwoto, Ismayanti, R., Utami, V. D., & Elfanza, V. C. (2025). Prediksi Potensi Suatu Wilayah Menggunakan Machine Learning. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(3), 802-809. https://doi.org/10.35870/jtik.v9i3.3480
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 9 No. 3 (2025)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2025

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Author Biographies
Tarwoto
Google Scholar ResearchGate ORCID

Program Studi Sistem Komputer, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

Ratri Ismayanti
Google Scholar ResearchGate ORCID

Program Studi Sistem Komputer, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

Vita Dwi Utami
Google Scholar ResearchGate ORCID

Program Studi Sistem Komputer, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

Vellyn Chalista Elfanza
Google Scholar ResearchGate ORCID

Program Studi Sistem Komputer, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto, Kabupaten Banyumas, Provinsi Jawa Tengah, Indonesia.

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