CLUSTER ANALYSIS OF ENVIRONMENTAL IMPACT BASED ON ENERGY CONSUMPTION OF INDUSTRY 4.0-BASED COMPANIES USING CRISP-DM METHOD

Authors

  • Dewa Adji Kusuma Informatika, Institut Teknologi Telkom Purwokerto, Indonesia
  • Aditya Dwi Putro Wicaksono Informatika, Institut Teknologi Telkom Purwokerto, Indonesia

DOI:

https://doi.org/10.31961/positif.v9i2.2050

Keywords:

Carbon Emissions, K-Means, Energy Consumption, Environmental Health

Abstract

The growth of energy consumption worldwide has experienced a significant increase in the past two decades. The increase in energy consumption in a company indicates that the company generates more carbon dioxide (CO2) emissions than usual. Excessive carbon emissions have a significant impact on human health and the environment. According to the World Health Organization (WHO), greenhouse gas emissions resulting from the extraction and combustion of fossil fuels are major contributors to climate change and air pollution. It is necessary to analyze what factors contribute to high carbon emissions. This study uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) method. The K-Means algorithm will be used to cluster the features that influence high carbon emissions. The feature selection process for K-Means uses Pearson correlation. The clustering model results in good evaluation scores using the Silhouette evaluation metric. Subset data 1 obtained a Silhouette score of 0.744, and subset data 2 obtained a Silhouette score of 0.7629. The evaluation results indicate that the K-Means model works quite well in creating clusters.

Keywords: Carbon Emissions, K-Means, Energy Consumption, Environmental Health

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Published

2023-12-27

How to Cite

Kusuma, D. A., & Wicaksono, A. D. P. (2023). CLUSTER ANALYSIS OF ENVIRONMENTAL IMPACT BASED ON ENERGY CONSUMPTION OF INDUSTRY 4.0-BASED COMPANIES USING CRISP-DM METHOD. POSITIF : Jurnal Sistem Dan Teknologi Informasi, 9(2), 130–135. https://doi.org/10.31961/positif.v9i2.2050

Issue

Vol. 9 No. 2 (2023): Positif : Jurnal Sistem dan Teknologi Informasi

Section

Articles

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Copyright (c) 2023 Dewa Adji Kusuma, Aditya Dwi Putro Wicaksono

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