Application of K-Means Algorithm in Grouping Households Accessing the Internet by Province

Authors

  • Zahra Syahara STIKOM Tunas Bangsa Pematangsiantar, North Sumatra
  • Saifullah AMIK Tunas Bangsa Pematangsiantar, Sumatera Utara
  • Jalaluddin AMIK Tunas Bangsa Pematangsiantar, Sumatera Utara

Keywords:

Data Mining, K-means Algorithm, Internet Access

Abstract

The study aims to group households that access the Internet according to the province. As for the data source in this study was made from BPS (the statistical center body) and the data used in the study was in 2017 to 2019 isolated from 34 provinces in Indonesia. The method of artificially synthesizing the research is using a k-means algorithm. According to the data, groups of households that access the Internet according to the provinces are grouped into 2 clusters of high clusters (c1) and low cluster (c2). It is hoped that this study will provide more attention to the government for the provinces that have low Internet access, It could also lead to programs that would seek to improve people's access to the Internet via e-government, telencenter, smart villages, or smart city, and indonesian-to pursue their relationship with more advanced Internet countries such as Europe and America

References

M. Z. Aminy, “Pemanfaatan Media Internet Sebagai Sumber Belajar Mahasiswa Program Studi Pendidikan Matematika Di STKIP BIMA Semester Ganjil Tahun Pelajaran 2013/2014,” J. Kip, vol. 4, no. 2, pp. 927–932, 2015, [Online]. Available: http://journals.ukitoraja.ac.id/index.php/jkip/article/view/59.

lestari dan Chariri, “Mempengaruhi Pelaporan Keuangan Melalui Internet ( Internet Financial Reporting ) Dalam Website Perusahaan,” http://eprints.undip.ac.id/2398/1/IFR_research.pdf, pp. 0–27, 2011, [Online]. Available: http://eprints.undip.ac.id/2398/1/IFR_research.pdf.

M. Rustam and M. Rustam, “INTERNET DAN PENGGUNAANNYA ( Survei di Kalangan Masyarakat Kabupaten Takalar Provinsi Sulawesi Selatan ) ( Survey Among the People of Takalar Town , South Sulawesi Province ),” pp. 13–24, 2017.

R. Dyah, “Hubungan Antara Kontrol Diri Dengan Kecanduan Internet Pada Siswa Sekolah Menengah Pertama (Smp),” J. Hum., 2018.

A. F. Yang, “Jawa Timur Dalam Mengakses Internet Tahun 2017,” 2018.

M. Apriliani, E. Antriyandarti, and W. Rahayu, “Media Trend,” Media Trend, vol. 15, no. 2, pp. 217–226, 2020.

A. N. Khomarudin, “Teknik Data Mining : Algoritma K-Means Clustering,” pp. 1–12, 2016.

N. Rofiqo, A. P. Windarto, and D. Hartama, “Penerapan Clustering Pada Penduduk Yang Mempunyai Keluhan Kesehatan Dengan Datamining K-Means,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 2, no. 1, pp. 216–223, 2018, doi: 10.30865/komik.v2i1.929.

Asroni and R. Adrian, “Penerapan Metode K-Means Untuk Clustering Mahasiswa Berdasarkan Nilai Akademik Dengan Weka Interface Studi Kasus Pada Jurusan Teknik Informatika UMM Magelang,” J. Ilm. Semesta Tek., vol. 18, no. 1, pp. 76–82, 2015.

T. Alfina and B. Santosa, “Analisa Perbandingan Metode Hierarchical Clustering, K-Means dan Gabugan Keduanya dalam Membentuk Cluster Data (Studi Kasus : Problem Kerja Praktek Jurusan Teknik Industri ITS),” Anal. PerbandinganMetode Hierarchical Clust. K-means dan Gabungan Keduanya dalam Clust. Data, vol. 1, no. 1, pp. 1–5, 2012.

A. Aditya, I. Jovian, and B. N. Sari, “Implementasi K-Means Clustering Ujian Nasional Sekolah Menengah Pertama di Indonesia Tahun 2018/2019,” J. Media Inform. Budidarma, vol. 4, no. 1, p. 51, 2020, doi: 10.30865/mib.v4i1.1784.

Yudi Agusta, “K-Means – Penerapan, Permasalahan dan Metode Terkait,” J. Sist. dan Inform., vol. 3, no. Februari, pp. 47–60, 2007.

I. Parlina, A. P. Windarto, A. Wanto, and M. R. Lubis, “Memanfaatkan Algoritma K-Means Dalam Menentukan Pegawai Yang Layak Mengikuti Asessment Center,” Memanfaatkan Algoritm. K-Means Dalam Menentukan Pegawai Yang Layak Mengikuti Asessment Cent. Untuk Clust. Progr. Sdp, vol. 3, no. 1, pp. 87–93, 2018.

M. Nishom and M. Y. Fathoni, “Implementasi Pendekatan Rule-Of-Thumb untuk Optimasi Algoritma K-Means Clustering,” J. Inform. J. Pengemb. IT, vol. 3, no. 2, pp. 237–241, 2018, doi: 10.30591/jpit.v3i2.909.

E. Muningsih and S. Kiswati, “Penerapan Metode K-Means Untuk Clustering Produk Online Shop Dalam Penentuan Stok Barang,” J. Bianglala Inform., vol. 3, no. 1, pp. 10–17, 2015.

Downloads

Published

2021-10-14

How to Cite

Syahara, Z., Saifullah, & Jalaluddin. (2021). Application of K-Means Algorithm in Grouping Households Accessing the Internet by Province. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 1(1), 76–83. Retrieved from https://ioinformatic.org/index.php/JAIEA/article/view/59