Analisis Geographically Weighted Regression (GWR) Berbasis Pemetaan pada Jumlah Menara Telepon Seluler di Kabupaten Lombok Tengah Tahun 2021

Rana Ambarwati Wati, Izu Izatul Febiana, Siti Hariati Hastuti

Abstract


Cell towers are tall structures where telecommunications equipment and antennas are installed to support cellular networks. This research aims to analyze the influence of Population Size (X1) and the Number of Service Operators (X2) on the Number of Cellular Phone Towers (Y ) in 139 villages in Central Lombok Regency in 2021. The Geographically Weighted Regression (GWR) method is used to understand spatial variability in the relationship between variables (X1) and (X2) with respect to variable Y . This method is an advancement of the OLS regression analysis method, taking spatial variability into account. By using this method, it is hoped that more accurate spatial distribution patterns can be identified, along with solutions that can assist in the planning of telecommunications infrastructure development in this area. The analysis results indicate that there is significant spatial variability in the distribution of the number of cellular towers based on the Breusch-Pagan test. The significance test results for the parameters show that only the Population Size variable (X1) has a significant effect on the Number of Cellular Towers (Y ) across all observation units (villages) in Central Lombok Regency. The comparison of models shows that the GWR model for the Number of Cellular Towers is better than the OLS Regression, with lower AIC and SSE values and a higher coefficient of determination (R2). 

Keywords


Weighted Regression; OLS Regression; Number of Cell Phone Towers

Full Text:

PDF

References


B. A. Pradana, A. Pancasilawati, and M. Ahyar, “Peran dinas pekerjaan umum dan penataan ruang kota samarinda terhadap penempatan menara telekomunikasi dalam tinjauan siyasah syar’iyyah,” QONUN: Jurnal Hukum Islam dan Perundang-undangan, vol. 6, no. 2, pp. 82–98, 2022.

I. Asaad and A. Rahman, “Pengembangan kota parepare sebagai kota destinasi wisata habibie dengan konsep sustainable smart tourism development of parepare city as the habibie tourist destination city with the concept of sustainable smart tourism,” Pekommas, vol. 6, no. 2, 2021.

E. Pujihartanti, “Analisis kelayakan investasi pembangunan menara bts (base transceiver station) oleh provider penyedia menara (survey di desa lembur awi, kec pacet, kab bandung),” J. Pajak Bisnis, vol. 3, no. 1, 2022.

J. M. Polgan and et al., “Analisis dampak implementasi teknologi 5g terhadap infrastruktur jaringan di indonesia,” vol. 13, no. September, 2024.

S. Nurhidayanti, “Analisis pengaruh pembangunan infrastruktur telekomunikasi terhadap pertumbuhan ekonomi di indonesia,” J. Ekon. Kuantitatif Terap., vol. 16, no. 1, 2023.

Z. I. G. N. A. Zainuddin, S. Sutrisno, and Krisnawan, “Analisis pengaruh perubahan tata ruang kota terhadap perancangan jaringan telekomunikasi nirkabel,” J. Teknol. Inf. dan Komun., vol. 11, no. 2, 2020.

A. Winarti, “Evaluasi kebijakan pembangunan menara telekomunikasi di kota semarang,” J. Tata Kota dan Drh., vol. 14, no. 1, 2022.

M. M. A. Asaad and Rahman, “Penataan menara telekomunikasi berdasarkan potensi gangguan yang ditimbulkan,” J. Pengemb. Kota, vol. 9, no. 1, 2021.

F. Irzy, “Pengaruh pdrb, tingkat pendidikan, kepadatan penduduk, dan jumlah industri terhadap kualitas lingkungan hidup di lima provinsi pulau kalimantan tahun 2013-2022,” 2023.

R. S. Permana, Kismiantini, and E. P. Setiawana, “Pemodelan indeks pembangunan manusia di provinsi jawa tengah tahun 2022 menggunakan model regresi spasial dengan pembobot queen contiguity dan k-nearest neighbor,” vol. 1, 2023. [Online]. Available: https://journal.student.uny.ac. id/index.php/jssd

N. A. Bakri, S. Annas, and M. K. Aidid, “Pendekatan geographically weighted regression (gwr) untuk menganalisis hubungan pdrb sektor pertanian, kehutanan, dan perikanan dengan faktor pencemaran lingkungan di jawa timur,” VARIANSI J. Stat. Its Appl. Teach. Res., vol. 6, no. 1, 2024.

D. S. Wicaksono, P. A. Kusumasari, H. M. Fajar, R. Fajritia, I. G. A. P. Anggraini, and B. Budiasih, “Implementasi geographically weighted regression (gwr) pada determinasi faktor produksi beras di indonesia tahun 2021,” Semin. Nas. Off. Stat, vol. 2023, no. 1, 2023.

H. Harmes, B. Juanda, E. Rustiadi, and B. Barus, “Pengaruh lahan kosong terhadap kemiskinan di kota bengkulu,” Tataloka, vol. 24, no. 4, 2022.

A. B. T. Pratama, B. Haryanto, and Hariyanto, “Analisis spasial persebaran menara bts di kota bandung menggunakan geographically weighted regression,” Geospasial, vol. 18, no. 1, 2021.

S. I. S. Rahayu, H. Winarso, and Sitanggang, “Penerapan geographically weighted regression untuk analisis kebutuhan menara telekomunikasi di kabupaten bogor,” J. Perenc. Wil. dan Kota, vol. 33, no. 2, 2022.

A. D. Adyatama, Solimun, S. A. Efendi, Nurjannah, and M. B. T. Mitakda, “Estimated path analysis parameters using weighted least square to overcome heteroskedasticity at various sample sizes,” J. Stat. Appl. Probab., vol. 12, no. 2, 2023.




DOI: https://doi.org/10.37905/jjps.v6i1.24770

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Jambura Journal of Probability and Statistics

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Editorial Office of Jambura Journal of Probability and Statistics:
 
Department of Statistics, 3rd Floor Faculty of Mathematics and Natural Sciences, Universitas Negeri Gorontalo
Jl. Prof. Dr. Ing. B.J Habibie, Tilongkabila Kabupaten Bone Bolango, 96119
Telp: +6285398740008 (Call/SMS/WA)
E-mail: redaksi.jjps@ung.ac.id