Penerapan Algoritma K-Means Clustering Dalam Persentase Merokok Pada Penduduk Umur Di Atas 15 Tahun Menurut Provinsi

Authors

  • Rahmat Kurniawan STIKOM Tunas Bangsa, Pematangsiantar
  • Suhada Suhada AMIK Tunas Bangsa, Pematangsiantar,
  • Rafiqa Dewi AMIK Tunas Bangsa, Pematangsiantar

DOI:

https://doi.org/10.30865/json.v2i2.2770

Keywords:

Data Mining, Clustering, K-means, Percentage of Smoking, RapidMiner

Abstract

This research aims to determine the number of people who are smoking the age of 15 years by applying Data Mining. The application uses the K-means algorithm where the data entered is the percentage of smoking. Using this method the data obtained can be grouped into 2 klasters. This research uses secondary data that is obtained from intermediate media that is recorded on the site of the Central Statistics website with the URL address https://www.bps.go.id/. The results gained in this study are grouping the number of smoking percentages that are grouped by as many as 2 klasters is klaster 1 (highest klaster) to get results 22 provinces and klaster 2 (lowest klaster) get 12 provinces.

References

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Published

2021-01-24

How to Cite

Kurniawan, R., Suhada, S., & Dewi, R. (2021). Penerapan Algoritma K-Means Clustering Dalam Persentase Merokok Pada Penduduk Umur Di Atas 15 Tahun Menurut Provinsi. Jurnal Sistem Komputer Dan Informatika (JSON), 2(2), 178–186. https://doi.org/10.30865/json.v2i2.2770

Issue

Vol. 2 No. 2 (2021): Januari 2021

Section

Articles

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