Effect of Population Density on Sex Ratio in North Sumatera Province

Authors

  • Rahma Dhea Safitri STIKOM Tunas Bangsa
  • Rizky Nurhasanah STIKOM Tunas Bangsa
  • Regita Audyna Siregar STIKOM Tunas Bangsa
  • Victor Asido Elyakim P STIKOM Tunas Bangsa
  • Yuegilion Pranayama Purba STIKOM Tunas Bangsa

DOI:

https://doi.org/10.55123/jomlai.v4i2.6012

Keywords:

Population Density , Sex Ratio , Population Distribution , Demographics , North Sumatra

Abstract

This study evaluates the effect of population density on the sex ratio in North Sumatra Province based on 2025 data. This study collected data on population size, land area, and sex ratio from each district and city in the province. Population density was calculated as the result of dividing the population by the land area, then its relationship with the distribution of male and female ratios in each region was analyzed. Data were quantitatively analyzed using statistical correlation approaches, such as Pearson correlation and simple linear regression, to identify potential relationships between density levels and sex ratio differences. The research results indicate that the relationship between population density and the sex ratio in North Sumatra Province is very weak and not statistically significant. The Pearson correlation coefficient value of -0.114 and the coefficient of determination (R²) of 0.013 show that only about 1.3% of the variation in the sex ratio can be explained by population density. These findings indicate that other factors, such as age composition, selective migration, economic structure, as well as socio-cultural factors and local policies, are more dominant in shaping the sex ratio between regions. Nevertheless, these findings provide initial insights into the social dynamics of the population as a basis for more comprehensive regional planning and demography-based development policies.

References

M. Malthuf, “Analisis Tingkat Kerentanan Sosial Penduduk Terhadap Bencana Gempabumi Di Kabupaten Klaten,” J. Plano Buana, vol. 3, no. 2, hal. 112–121, 2023, doi: 10.36456/jpb.v3i2.7190.

D. A. Athifah et al., “A . PENDAHULUAN Rendahnya angka kelahiran dan tingginya angka kematian , serta banyaknya masyarakat yang meninggalkan daerah , dapat menyebabkan lambatnya pertumbuhan penduduk sehingga berdampak pada kualitas dan kesejahteraan penduduk . Intinya , kematia,” SABANA (Sosiologi, Antropol. dan Budaya Nusantara), vol. 3, no. 3, hal. 227–234, 2024, doi: 10.55123/sabana.v3i3.3351.

A. Nurkholis, “Evaluasi Kondisi Demografi Secara Temporal di Provinsi Bengkulu: Rasio Jenis Kelamin, Rasio Ketergantungan, Kepadatan Peduduk,” Ideas, hal. 1–15, 2018.

R. Ramadhani dan P. Siagian, “Proyeksi Dampak Pertumbuhan Penduduk Provinsi Sumatera Utara , Jepang , dan Belanda di Tahun 2035 : Analisis Geometri dan Eksponensial,” J. Math. Educ. Appl., vol. 06, no. 01, hal. 38–48, 2021.

R. M. Sabiq dan N. Nurwati, “Pengaruh Kepadatan Penduduk Terhadap Tindakan Kriminal,” J. Kolaborasi Resolusi Konflik, vol. 3, no. 2, hal. 161, 2021, doi: 10.24198/jkrk.v3i2.35149.

F. F. Khikma dan I. Sofwan, “Higeia Journal of Public Health,” Higeia J. Public Heal. Res. Dev., vol. 5, no. 3, hal. 227–238, 2021.

A. R. Alamsyah, “Gradasi Aktor, Tarik-Menarik Peran, Jangkauan Kerjasama, dan Komposisi dalam Keterlekatan: Ide-ide Pelengkap untuk Teori Ranah Tindakan Strategis,” Masyarakat, J. Sosiol., vol. 27, no. 2, 2022, doi: 10.7454/mjs.v27i2.13557.

D. N. H. Dikky, Ayus Ahmad Yusuf, dan Achmad Otong Busthomi, “Faktor-Faktor Pendorong Pertumbuhan Ekonomi Berkualitas di Indonesia,” J. Ekon. STIEP, vol. 9, no. 1, hal. 46–63, 2024, doi: 10.54526/jes.v9i1.278.

M. K. Astari, “Upaya Tiongkok dalam Mengatasi Bride Trafficking,” J. FISIP HI, hal. 13, 2019.

P. J. CENDEKIA Jaya dan T. Harjanto, “Kebijakan Kependudukan Dan Pertumbuhan Ekonomi,” CENDEKIA Jaya, vol. 3, no. 1, hal. 39–59, 2021, doi: 10.47685/cendekia-jaya.v3i1.126.

Y. Rinsaghi dan J. Parhusip, “Analisis Distribusi Frekuensi dan Uji Chi-Square pada Laju Pertumbuhan Penduduk dan Kepadatan Penduduk di Provinsi Kalimantan Tengah , 2023,” 2024.

F. O. Lusiana, I. Fatma, dan A. P. Windarto, “Estimasi Laju Pertumbuhan Penduduk Menggunakan Metode Regresi Linier Berganda Pada BPS Simalungun,” J. Informatics Manag. Inf. Technol., vol. 1, no. 2, hal. 79–84, 2021, doi: 10.47065/jimat.v1i2.104.

I. F. Alamsyah, R. Esra, S. Awalia, dan D. A. Nohe, “Analisis regresi data panel untuk mengetahui faktor yang memengaruhi jumlah penduduk miskin di Kalimantan Timur,” Pros. Semin. Nas. Mat. Stat. dan Apl., hal. 254–266, 2022.

M. Stephanus, M. Muchtar, P. Robinson, dan M. H. Akhmadi, “Pengaruh Transfer Ke Daerah, Kelahiran, Dan Pengangguran Terhadap Jumlah Penduduk Miskin Di Indonesia,” J. Law, Adm. Soc. Sci., vol. 4, no. 3, hal. 328–339, 2024, doi: 10.54957/jolas.v4i3.763.

J. A. E. Jurnal et al., “PENGARUH TINGKAT PENDIDIKAN DAN GENDER TERHADAP TINGKAT PENGANGGURAN,” J. Akunt. DAN Ekon., no. 0173, 2025, doi: 10.29407/jae.v10i1.25030.

M. R. Naufal, “Literature Review : Pengendalian Trajectory Tracking UAV Menggunakan Fuzzy Logic dan Metode Optimasi Literature Review : Pengendalian Trajectory Tracking UAV Menggunakan,” no. April, hal. 0–4, 2025.

P. L. Lumbanraja dan Naomi Elena Lumbanraja, “Alternatif Rancang Sistem Pengambilan Keputusan Untuk Mendukung Penyelesaian Isu-Isu Perkebunan Kelapa Sawit,” LogicLink, vol. 1, no. 1, hal. 50–62, 2024, doi: 10.28918/logiclink.v1i1.7667.

M. D. A. N. Manggis, “IMPLEMENTASI METODE ALGORITMA PRINCIPAL COMPONENT ANALYSIS ( PCA ) DAN ALGORITMA K-NEAREST NEIGHBOR ( KNN ) DALAM KLASIFIKASI BUAH JAMBU MADU JAMBU,” Sci. Soc. Res., vol. 4307, no. 1, hal. 817–822, 2025.

R. Informatika, “JURNAL REIN Systematic Literature Review : Penggunaan Artificial Intelligence Sebagai Teknologi Pendukung,” REIN, vol. 1, no. 2, hal. 2–7, 2024.

A. C. Nurcahyo, T. H. Yong, dan A. F. Atanda, “Enhancing QoS with Literature Deep Learning : on Comprehensive Review Model Optimization and Advanced Data Labeling,” Sci. Technol., vol. 4, hal. 189–207, 2025.

P. Jasmin, “Potential Analysis of the Application of Fuzzy Logic in the Optimization of Pak Choi Hydroponic Cultivation : A Literature Study on Plant Growth Support System,” J. Appl. Sci. Technol. Humanit., vol. 1, no. 4, 2024.

S. H. Umpain, N. Herachwati, Y. Setiadi, dan A. E. Hanorsian, “A systematic literature review of interpersonal communication strategies for optimizing government employee performance in the digital era,” F1000Research, vol. 13, no. May, hal. 979, 2024, doi: 10.12688/f1000research.149729.1.

Downloads

Published

2025-06-20

How to Cite

Rahma Dhea Safitri, Rizky Nurhasanah, Regita Audyna Siregar, Victor Asido Elyakim P, & Yuegilion Pranayama Purba. (2025). Effect of Population Density on Sex Ratio in North Sumatera Province. JOMLAI: Journal of Machine Learning and Artificial Intelligence, 4(2), 106–115. https://doi.org/10.55123/jomlai.v4i2.6012

Issue

Vol. 4 No. 2 (2025): Juni 2025

Section

Articles

License

Copyright (c) 2025 Rahma Dhea Safitri, Rizky Nurhasanah, Regita Audyna Siregar, Victor Asido Elyakim P, Yuegilion Pranayama Purba

Creative Commons License

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

Copyright (c) 2022 The authors. Published by Yayasan Literasi Indonesia
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

The author(s) whose article is published in the JOMLAI journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JOMLAI, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:their article is original, written by the mentioned author(s),

  • has never been published before,
  • does not contain statements that violate the law, and
  • does not violate the rights of others, is subject to copyright held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

  • Copyright and other proprietary rights related to the article, such as patents,
  • The right to use the substance of the article in its own future works, including lectures and books,
  • The right to reproduce the article for its own purposes,
  • The right to archive all versions of the article in any repository, and
  • The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (JOMLAI: Journal of Machine Learning and Artificial Intelligence).

Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JOMLAI will not be held responsible for anything that may arise because of the writer's internal dispute. JOMLAI will only communicate with correspondence authors.

Authors should also understand that their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JOMLAI allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JOMLAI to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published