Published: 2026-04-01
Analisis Pengaruh Pertumbuhan Populasi Terhadap Kebutuhan Perumahan di Kota Metropolitan Surabaya Tahun 2009-2024
DOI: 10.35870/jemsi.v12i2.6059
Abstract
This study analyzes the effect of population growth on housing demand in the Metropolitan City of Surabaya for the period 2009-2024, where rapid population growth due to high birth rates has caused a housing shortage of more than 400,000 units. The main objective is to identify the partial and simultaneous impacts of birth rates, deaths, and urbanization on housing demand to support sustainable planning. A quantitative correlational approach is applied through multiple linear regression with Eviews 12 software, using secondary data from the Central Statistics Agency and the Surabaya Population Office, after fulfilling classical assumptions such as normality, heteroscedasticity, autocorrelation, and multicollinearity. The results show that the birth rate has a significant positive effect on housing demand, while the death rate and urbanization have no significant effect, with the independent variables only explaining 17.9% of the variation in housing demand. The main conclusion emphasizes the need for a housing strategy that is responsive to high fertility dynamics, as well as comprehensive policy recommendations for local governments to reduce the deficit of adequate housing amidst rapid urbanization.
Keywords
Article Information
This article has been peer-reviewed and published in the JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 12 No. 2 (2026)
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Section: Articles
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Published: 2026-04-01
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License: CC BY 4.0
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Copyright: © 2026 Authors
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DOI: 10.35870/jemsi.v12i2.6059
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Kaprilia Anggraini, Universitas Bojonegoro
Fakultas Ekonomi Pembangunan, Universitas Bojonegoro, Bojonegoro, Indonesia.
Hartiningsih Astuti, Universitas Bojonegoro
Fakultas Ekonomi Pembangunan, Universitas Bojonegoro, Bojonegoro, Indonesia.
Khalid Fauzi Aziz, Universitas Bojonegoro
Fakultas Ekonomi Pembangunan, Universitas Bojonegoro, Bojonegoro, Indonesia.
-
Aprianto, A., Debataraja, N. N., & Imro'ah, N. (2020). Metode Cochrane-Orcutt untuk mengatasi autokorelasi pada estimasi parameter ordinary least squares. Bimaster: Buletin Ilmiah Matematika, Statistika Dan Terapannya, 9(1).
-
Ardiansyah, H. E. (2020). Efektivitas penyediaan perumahan oleh Perumnas dalam menangani masalah housing backlog di Kabupaten Gresik.
-
Ayuningtyas, F. J., & Astuti, I. P. (2018). Faktor penentu permintaan rumah tinggal di Provinsi Daerah Istimewa Yogyakarta. Jurnal Ekonomi dan Pembangunan, 19(April), 85–90. https://doi.org/10.18196/jesp.19.1.3890
-
Boy, D. Y., Abdullah, F., Mardiasih, N. C., Boy, D. Y., Abdullah, F., Mardiasih, N. C., Program Studi, Ekonomi Pembangunan, Fakultas Ekonomi, Universitas Merdeka Malang, Jl Terusan, Dieng No, Kota Malang, Jawa Timur, & Kepadatan Penduduk. (2025). Prediksi fertilitas, mortalitas dan kepadatan penduduk di Kabupaten Manggarai Tengah wilayah (Mantra 2000). Sedangkan menurut Soerjani dalam Fajri dan Rizki.
-
BPS. (2020). Mortalitas di Indonesia hasil long form sensus penduduk 2020. Badan Pusat Statistik, 1–98.
-
Community, S. (2025). Misalignment of housing growth and population trends: Cohort size and lagging measurements through recession and recovery.
-
Dave, S., Karisoh, T., Linda, T., & Renny, S. (2020). Pengaruh kekumuhan terhadap kualitas hidup masyarakat di perkampungan kota Manado. Spasial, 7(1), 62–69.
-
Dettling, L. J., Davidoff, T., Freedman, S., Levine, P., Moore, T., & Mumford, K. (2011). House prices and birth rates.
-
Febri, C. F. R., Saifuddin, Z., Niyar, M. H., Saifuddin, Z., Farkhatun, K., Saifuddin, Z., Agustin, R., Saifuddin, Z., & Shafrani, Y. S. (2025). Dampak urbanisasi terhadap pertumbuhan ekonomi kota di Indonesia. 2(3), 34–40.
-
Hutagaol, K. (2025). Kajian tentang uji asumsi klasik berbantuan SPSS. Jurnal Padegogik, 8(2), 15–28.
-
Indahri, Y. (2017). Tantangan pengelolaan penduduk di kota Surabaya. Aspirasi: Jurnal Masalah-masalah Sosial, 8(1), 1–11. https://doi.org/10.46807/aspirasi.v8i1.1251.
-
Kusuma, E. S. D., Purbowo, & Khasan, U. (2023). Journal of Economics Development Issues, 6(1), 33–46.
-
Lachaud, J., Nisenbaum, R., Mejia-lancheros, C., Latimer, E., Aubry, T., & Woodhall-melnik, J. (2025). Housing and support intervention and mortality among homeless adults with mental illnesses: A secondary analysis of a randomized clinical trial. JAMA Network Open, 8(7), 1–12. https://doi.org/10.1001/jamanetworkopen.2025.24302.
-
Lastuti, Y., Naufal, H. A., Ringga, D., Dian, E., Rabbaniyah, L., Universitas Negeri Jakarta, Article History, Housing Costs, & Cross-sectional Analysis. (2025). Pengaruh biaya perumahan dan tingkat urbanisasi terhadap fertilitas: Analisis cross-sectional pada 34 provinsi di Indonesia. 6(3), 1119–1128.
-
Lestari, D., Ambar, N., & Lathifah, L. N. (2024). The impact of population growth on housing, food security, and transportation. Economic Military and Geographically Business Review, 2(1), 41–58.
-
Listyaningsih, U., Satiti, S., Nurcahyo, E. H., & Mumtaza, F. H. (2023). Estimasi parameter fertilitas menggunakan data registrasi penduduk di Kota Yogyakarta. Jurnal Ilmu Matematika, 18(2), 125–138.
-
Mardiatmoko, G. (2020). Pentingnya uji asumsi klasik pada analisis regresi linier berganda (studi kasus penyusunan persamaan allometrik kenari muda [Canarium indicum L.]). BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 14(3), 333–342.
-
Ningsih, S., & Dukalang, H. H. (2019). Penerapan metode suksesif interval pada analisis regresi linier berganda. Jambura Journal of Mathematics, 1(1), 43–53.
-
Nugraha, B. (2022). Pengembangan uji statistik: Implementasi metode regresi linier berganda dengan pertimbangan uji asumsi klasik. Pradina Pustaka.
-
Pida, D. F., Aini, K. N., & Putri, C. A. (2025). Dampak urbanisasi terhadap perkembangan kota di Indonesia: Tinjauan dari aspek ekonomi pembangunan. WISSEN: Jurnal Ilmu Sosial dan Humaniora, 3(1), 226–238. https://doi.org/10.62383/wissen.v3i1.562
-
Purwono, N., Susetyo, D. B., Rijal, S. S., Syaripah, G. K., & Munawaroh, S. (2024). Assessing urban growth in Greater Surabaya using Google Earth Engine: An evaluation of built-up area expansion in Indonesian secondary cities. Journal of the Geographical Institute Jovan Cvijic SASA, 74(1), 127–138. https://doi.org/10.2298/IJGI230608004P.
-
Putra, R. A. P., & Arif, L. (2024). Implementasi program perbaikan rumah tidak layak huni dalam mengatasi permukiman kumuh. Hudan Lin Naas: Jurnal Ilmu Sosial dan Humaniora, 5(2), 237. https://doi.org/10.28944/hudanlinnaas.v5i2.1729.
-
Sabitha, F. A. (2022). Analisis pengaruh tingkat urbanisasi terhadap ketersediaan lahan permukiman perumahan di kota Surabaya. Jurnal Lemhannas RI, 10(1), 19–26. https://doi.org/10.55960/jlri.v10i1.268.
-
Shodiq, D. E. (2022). Analisis proporsi populasi penduduk terhadap rumah tangga dengan hunian layak dan terjangkau. Analisis Proporsi Populasi Penduduk Terhadap Rumah Tangga Dengan Hunian Layak Dan Terjangkau, 4(1), 24.
-
Sholihah, S. M., Aditiya, N. Y., Evani, E. S., & Maghfiroh, S. (2023). Konsep uji asumsi klasik pada regresi linier berganda. Jurnal Riset Akuntansi Soedirman (JRAS), 2(2), 102–110.
-
Wardoyo, Y. A. (2023). Analysis of residential property demand factors in 34 provinces period 2019–2021. 18(2), 300–317.
-
Widari, A. N., & Santoso, E. B. (2025). Analisis preferensi generasi milenial terhadap tren harga hunian di kota Surabaya berdasarkan lokasi dan tipologi. Jurnal Penataan Ruang, 20, 172–180. https://doi.org/10.12962/j2716179x.v20iii.5326.
-
Yi, X., Li, J., & Yi, C. (2025). How demographic changes reshape the housing sector: Evidence from China’s labor allocation and price dynamics. Economic Modelling, 107, 161.
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