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All Journal Al-MIKRAJ: Jurnal studi Islam dan Humaniora
Rohmah, Nabila Asyiqotur
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Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Aplikasi Model Pertumbuhan Logistik untuk Estimasi Jumlah Penduduk Kabupaten Ponorogo Rohmah, Nabila Asyiqotur
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol 5 No 01 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v5i01.6163

Abstract

Population growth is a critical issue for government planning, necessitating accurate projections for future years to inform long-term policy decisions. This study explores estimating the population of Ponorogo Regency through a logistic growth model. The model’s differential equation, structured as a separable differential equation, was solved and applied to real population data to derive a specific solution. The results indicate that, among five tested models, four logistic growth models are viable for projecting the population of Ponorogo Regency.
Aplikasi Model Pertumbuhan Logistik untuk Estimasi Jumlah Penduduk Kabupaten Ponorogo Rohmah, Nabila Asyiqotur
AL-MIKRAJ Jurnal Studi Islam dan Humaniora Vol. 5 No. 01 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v5i01.6163

Abstract

Population growth is a critical issue for government planning, necessitating accurate projections for future years to inform long-term policy decisions. This study explores estimating the population of Ponorogo Regency through a logistic growth model. The model’s differential equation, structured as a separable differential equation, was solved and applied to real population data to derive a specific solution. The results indicate that, among five tested models, four logistic growth models are viable for projecting the population of Ponorogo Regency.
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