Published: 2021-06-30
Analisis Faktor yang Mempengaruhi Perokok Beralih ke Produk Alternatif Tembakau (VAPE) menggunakan Metode K-Means Clustering
DOI: 10.35870/jtik.v5i2.182
Azmi Musyaffa Fadhilah, M Iwan Wahyuddin, Deny Hidayatullah
- Azmi Musyaffa Fadhilah: Program Studi Teknik Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Program Studi Teknik Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Indonesia
- M Iwan Wahyuddin: Program Studi Teknik Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Program Studi Teknik Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Indonesia
- Deny Hidayatullah: Program Studi Teknik Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Program Studi Teknik Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Indonesia
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Abstract
This research was conducted based on the emergence of a trend in Indonesia, namely the use of alternative tobacco products (vape). It is known that the use of vape can make smokers reduce smoking activities or even make smokers quit smoking because of many factors to switch to vaping. The purpose of this study was to obtain the results of the analysis of factors that influence smokers to switch to alternative tobacco products (vape). This study uses the K-means method and uses the factors of age, income, duration of smoking, and time period of using vape as parameters. Data collection techniques are in the form of data collection by questionnaire. The subject of this research is the vape community that is part of the Facebook forum (JBDJ-Jual Beli Depok Jaksel).
Keywords
Clustering ; Data mining ; K-means ; Vape
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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.
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Issue: Vol. 10 No. 3 (2026)
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Section: Computer & Communication Science
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Published: %750 %e, %2021
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License: CC BY 4.0
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Copyright: © 2021 Authors
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DOI: 10.35870/jtik.v5i2.182
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