K-Means Cluster Analysis for District or City Clustering in Bengkulu Province based on The Number of Base Transceiver Stations and The Strength of Cell Phone Signal

Anisa Rahmawati; Endah Setyowati

doi:10.24114/cess.v8i1.40913

Authors

Anisa Rahmawati Politeknik APP Jakarta https://orcid.org/0000-0001-5064-6094
Endah Setyowati Institut Agama Islam Negeri Ponorogo

DOI:

https://doi.org/10.24114/cess.v8i1.40913

Keywords:

Analisis cluster, Base Transceiver Station (BTS), k-means cluster, sinyal telepon

Abstract

The existence of a Base Transceiver Station (BTS) and the strength of cell phone signals in an area have greatly affected the ease of communication and exchanging information between people. This is one aspect to measure technological developments in a region. This study aims to use the K-Means algorithm to classify districts or cities in Bengkulu Province based on the proportion of BTS presence, the proportion of villages with strong telephone signals, and the proportion of villages with 4G internet signals. There are three clusters based on these three variables and there are still significant differences between districts or cities in Bengkulu Province. The output of this study becomes an input for the Bengkulu provincial government to be able to pay attention to the distribution of communication infrastructures in their province.

References

F. Yani dan E. Darmayanti, œPeranan Teknologi dan Informasi terhadap Perkembangan Hukum di Indonesia, Jurnal Lex Justitia, Vol. 3, no. 1, pp 36-51, 2021.

Y. M. Putra dan J. A. Sahlulghaney, œEfektifitas Pemanfaatan Telekomunikasi Internet dan Teknologi Nirkabel pada KAP PKF Paul Hadiwinata, 2019.

Badan Pusat Statistik, œIndeks Pembangunan Teknologi Informasi dan Komunikasi 2019, Jakarta: Badan Pusat Statistik, 2020.

S. Budiyanto dan A. Saputra, œOptimalisasi Kinerja (Internet Protocol) IP Clock pada Jaringan Base Transceiver Station (BTS), Jurnal Teknologi Elektro Universitas Mercu Buana, Vol. 7, No. 2, pp. 114-122, 2016.

Badan Pusat Statistik Provinsi Bengkulu, œBengkulu dalam Angka 2022, Bengkulu: Badan Pusat Statistik, 2022.

P. P. Sari dan Kismiantini, œPengelompokan Kecamatan berdasarkan Alat Kontrasepsi menggunakan Algoritma K-Means: Studi Kasus Kecamatan di Provinsi DI Yogyakarta, Seminar Nasional Official Statistics, Vol. 2022, No. 1, pp. 723-730, 2022.

C. C. Astuti, œAnalisis Korelasi untuk Mengetahui Keeratan Hubungan antara Keaktifan Mahasiswa dengan Hasil Belajar Akhir, Journal of Information Computer Technology Education, Vol. 1, No. 1, pp. 1-7, 2017.

S. I. Kusuma, S. B. Pambudi, dan A. W. Suprayitno, œPengaruh Standar Biaya Keluaran terhadap Efisiensi Anggaran Kementerian Negara/Lembaga, Jurnal Anggaran dan Keuangan Negara Indonesia, Vol. 1, No. 1, pp. 51-70, 2019.

M. W. Talakua, Z. A. Leleury, A. W. Talluta, œAnalisis Cluster dengan Menggunakan Metode K-Means untuk Pengelompokan Kabupaten/Kota di Provinsi Maluku Berdasarkan Indikator Indeks Pembangunan Manusia Tahun 2014, Jurnal Ilmu Matematika dan Terapan, Vol. 11, No. 1, pp. 119 “ 128, 2017.