Population Projection Using The Implementation of Differential Equation of Logistic Models

Dewi Anggraeni, D. Afifah, Diesty Hayuhantika, R. Hastari, R. Puspasari
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Abstract

Projections of population have long been an important problem in the world. Population size and growth in a country directly influence the situation of the economy, policy, culture, education and costs of natural resources. This study aims to determine the projected population growth in the East Java local city in Indonesia, named Ponorogo, using logistic growth model based on the growth rate and carrying capacity. The research method used in the first stage is to determine the research subject. The second stage is (a) collecting research data (b) data analysis and finally drawing conclusions. This research is a new way of determining population projections based on growth rate and carrying capacity so that population projection data can be obtained in 2030. The results of the study show that IV logistics model is more appropriate for predicting the population in Ponorogo Regency for 2030, which is 889.956 people with a capacity of 912.355,44 people. The results of this study can be useful as policy makers for the Central Statistics Agency, Civil Registry Service in projecting the number of residents in the future as well.
用Logistic模型微分方程实现人口预测
长期以来,人口预测一直是世界上的一个重要问题。一个国家的人口规模和增长直接影响到其经济、政策、文化、教育和自然资源成本的状况。本研究旨在利用基于增长率和承载能力的物流增长模型,确定印度尼西亚东爪哇地方城市Ponorogo的预计人口增长。第一阶段的研究方法是确定研究对象。第二阶段是(a)收集研究数据(b)数据分析,最后得出结论。本研究提出了一种基于增长率和承载能力确定人口预测的新方法,从而获得2030年的人口预测数据。研究结果表明,IV物流模型更适合预测2030年波诺罗戈县人口为889.956人,容量为912.355.44人。本研究的结果也可为中央统计署及民政登记处的政策制定者预测未来的居民人数提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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