PENERAPAN MODEL POPULASI KONTINU PADA PERHITUNGAN PROYEKSI PENDUDUK (STUDI KASUSDI KECAMATAN SINONSAYANG) APPLICATION OF CONTINUOUS POPULATION MODEL IN POPULATION PROJECTION CALCULATION (CASE STUDY IN SINONSAYANG SUB-DISTRICT)
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Nov 17, 2024
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Abstract
Population projections are scientific estimates based on assumptions about the factors that contribute to population growth rates, such as migration, births, and deaths. They are not population predictions. The future population's size and age distribution are determined by these three factors. Data describing trends from the past to the present are needed to make estimates about the pace of development of future births, deaths, and movements. The goal of this study is to use the logistic and exponential growth models to project the population growth in Sinonsayang Subdistrict. BPS Sinonsayang Subdistrict provided the population census data for Sinonsayang Subdistrict from 2016 to 2022. Both logistic and exponential models are used to model data analysis procedures. The model that was chosen was based on the findings.
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Mangobi, J., Salajang, S., & Goguyu, I. (2024). PENERAPAN MODEL POPULASI KONTINU PADA PERHITUNGAN PROYEKSI PENDUDUK (STUDI KASUSDI KECAMATAN SINONSAYANG). SOSCIED, 7(2), 618-628. https://doi.org/10.32531/jsoscied.v7i2.859
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
LPPM Politeknik Katolik Saint Paul Sorong
References
Zabadi AM, Assaf R, & Kanan M. 2017. A Mathematical and Statistical Approach for Predicting the Population Growth. World Wide Joumal of Multidisciplinary Research and Development. 3(7). 50-59.
Nurviana, N. (2021). Proyeki Jumlah Penduduk Di Kecamatan Langsa Barat Menggunakan Model Malthus Dan PopulasiLogistik. JUMAL GAMMA-PI, 3(1), 36-41.
Anggreini, Dewi. 2020. "Penerapan Model Populasi Kontinu Pada Perhitungan Proyeksi Penduduk di Indonesia (Studi Kasus: Provinsi Jawa Timur)." E-Jumal Matematika 9.4
Anggreini. 2018. Model Matriks Leslie dengan Strategi Pemanenan pada Kelompok Umur Termuda pada Angka Kesuburan dan Harapan Hidup Populasi Domba Betina. Fourier. 7 (1). 23-34
Hathout, Dean. 2013. Modeling Population Growth: Exponential and Hyperbolic Modeling. Applied Mathematics. 4, 299-304.
Kumiawan, A., Holisin, I., & Kristanti, F. 2017. Aplikasi Persamaan Diferensial Biasa Model Eksponensial dan Logistik pada Pertumbuhan Penduduk Kota Surabaya. MUST: Joumal of Mathematics Education, Science and Technology, 2(1), 129-141
Nuraeni, Z. (2017). Aplikasi persamaan diferensial dalam estimasi jumlah populasi. Jumal Ilmiah Pendidikan Matematika, 5(1), 9-16.
]Ahmad, A. (2019). Pemodelan Matematika Dengan Menggunakan Persamaan Diferensial Pada Pertumbuhan Penduduk di Indonesia. Prosiding Sendika: Vol, 5(2), 1.
C.C. Kerry, Tessy S, Ezeora J.N, Iweanandu O.J. 2017. A Comparative Study of Mathematical and Statistical Models for Population Projection of Nigeria. Intemational Joumal of Scientific & Engineering Research, 8 (2).
Nuraeni, Zuli. 2015. Aplikasi Persamaan Diferensial dalam Estimasi Jumlah Populasi, Jumal Ilmiah Pendidikan Matematika. 5(1) 9-16.
Ullah. MS, Mustofa G, Jahan N & Khan MAH.2019. Analyzing and Projection of Future Bangladesh Population Using LogisticGrowth Model. Intemational Joumal of Modem Nonlinear Theory and Application.8, 53-61.
Nurulita, R. (2016). Penerapan model-model pertumbuhan populasi untuk data pertumbuhan penduduk di Jawa Barat (Doctoral dissertation, UIN Sunan Gunung Djati Bandung).
Badan Pusat Statistik. 2023. Kecamatan Sinonsayang Dalam Angka
Mondol. H, Mallick UK, Biswas MAH. 2018. Mathematical Modeling And Predicting The Current Trends Of Human Population Growth In Bangladesh. Advances In Modelling And Analysis A.55 (2). 62-69.
Nurviana, N. (2021). Proyeki Jumlah Penduduk Di Kecamatan Langsa Barat Menggunakan Model Malthus Dan PopulasiLogistik. JUMAL GAMMA-PI, 3(1), 36-41.
Anggreini, Dewi. 2020. "Penerapan Model Populasi Kontinu Pada Perhitungan Proyeksi Penduduk di Indonesia (Studi Kasus: Provinsi Jawa Timur)." E-Jumal Matematika 9.4
Anggreini. 2018. Model Matriks Leslie dengan Strategi Pemanenan pada Kelompok Umur Termuda pada Angka Kesuburan dan Harapan Hidup Populasi Domba Betina. Fourier. 7 (1). 23-34
Hathout, Dean. 2013. Modeling Population Growth: Exponential and Hyperbolic Modeling. Applied Mathematics. 4, 299-304.
Kumiawan, A., Holisin, I., & Kristanti, F. 2017. Aplikasi Persamaan Diferensial Biasa Model Eksponensial dan Logistik pada Pertumbuhan Penduduk Kota Surabaya. MUST: Joumal of Mathematics Education, Science and Technology, 2(1), 129-141
Nuraeni, Z. (2017). Aplikasi persamaan diferensial dalam estimasi jumlah populasi. Jumal Ilmiah Pendidikan Matematika, 5(1), 9-16.
]Ahmad, A. (2019). Pemodelan Matematika Dengan Menggunakan Persamaan Diferensial Pada Pertumbuhan Penduduk di Indonesia. Prosiding Sendika: Vol, 5(2), 1.
C.C. Kerry, Tessy S, Ezeora J.N, Iweanandu O.J. 2017. A Comparative Study of Mathematical and Statistical Models for Population Projection of Nigeria. Intemational Joumal of Scientific & Engineering Research, 8 (2).
Nuraeni, Zuli. 2015. Aplikasi Persamaan Diferensial dalam Estimasi Jumlah Populasi, Jumal Ilmiah Pendidikan Matematika. 5(1) 9-16.
Ullah. MS, Mustofa G, Jahan N & Khan MAH.2019. Analyzing and Projection of Future Bangladesh Population Using LogisticGrowth Model. Intemational Joumal of Modem Nonlinear Theory and Application.8, 53-61.
Nurulita, R. (2016). Penerapan model-model pertumbuhan populasi untuk data pertumbuhan penduduk di Jawa Barat (Doctoral dissertation, UIN Sunan Gunung Djati Bandung).
Badan Pusat Statistik. 2023. Kecamatan Sinonsayang Dalam Angka
Mondol. H, Mallick UK, Biswas MAH. 2018. Mathematical Modeling And Predicting The Current Trends Of Human Population Growth In Bangladesh. Advances In Modelling And Analysis A.55 (2). 62-69.