Implementation of the Logistic Growth Model for Projecting the Population of Kuningan Regency in 2026–2035

Aulia Zahratul Solihah; Agus Sugandha; Dian Puspita

doi:10.24198/jmi.v22.n1.70221.133-144

Implementation of the Logistic Growth Model for Projecting the Population of Kuningan Regency in 2026–2035

Aulia Zahratul Solihah, Agus Sugandha, Dian Puspita

Abstract

Differential equations are a branch of mathematics that are widely used to solve various problems in real life. In the context of population, differential equations are used to model and project the population in a region in a certain period. This Field Work Practice (PKL) Report aims to analyze population growth in Kuningan Regency using a logistic growth model and project the population in Kuningan Regency in 2025-2035. The data used is population data in Kuningan Regency in 2015-2024 obtained from the Kuningan Regency Central Statistics Agency. Based on the calculation results, nine logistic models were obtained with an environmental carrying capacity value of 1,266,373 people. Model VI was selected as the best model with a relative growth rate per year of 16.82% and a MAPE value of 1.34%. The model projects that the population of Kuningan Regency will continue to increase from 1,220,996 in 2025 to approximately 1,257,682 in 2035

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References

Badan Pusat Statistik Kabupaten Kuningan. (2025). Kabupaten Kuningan Dalam Angka 2025. Badan Pusat Statistik Kuningan.

Giordano, F., Weir, M., & Fox, W. (2014). A First Course in Mathematical Modeling. Cengage Learning.

Hala, K., Prang, J., & Komalig, H. (2016). Proyeksi Pertumbuhan Mobil Pribadi Roda Empat (Plat Hitam) Kota Manado Menggunakan Persamaan Diferensial Model Pertumbuhan Populasi Kontinu (Model Logistik). D'Cartesian, 5(2), 80-84.

Indraswari. (2017). Permasalahan Kependudukan di Indonesia. Jurnal Sosial Humaniora, 8(1), 23-29.

Iswanto, R. J. (2012). Pemodelan Matematika: Aplikasi dan Terapan. Graha Ilmu.

Kurniawan. (2017). Estimasi jumlah penduduk menggunakan model logistik. Jurnal Statistika dan Aplikasinya, 5(1), 56-64.

Ndii, M. Z. (2018). Pemodelan Matematika: Teori dan Aplikasi. Deepublish.

Nurmadhani, N., & Faisol. (2022). Penerapan Model Pertumbuhan Logistik Dalam Memproyeksikan Jumlah Penduduk di Kabupaten Sumenep. Jurnal Edukasi dan Sains Matematika, 8(2), 145-156.

Ravichandran, R. (2011). A Study on Population Projection using the Logistic Curve Method in Time Series Analysis with Reference to India. Indian Journal of Applied Research, 3(5), 601-603.

Sugiyono. (2013). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.

Zainun, Azis, dan Yasin. (2011). Penggunaan model logistik dalam proyeksi jumlah penduduk. Jurnal Matematika dan Aplikasinya, 9(2), 45-53

DOI: https://doi.org/10.24198/jmi.v22.n1.70221.133-144