Aplikasi Matriks Leslie untuk Memproyeksi Jumlah Penduduk Perempuan dan Laju Pertumbuhan Penduduk di Kabupaten Banyumas Tahun 2027

Yuliyanti Dian Pratiwi, Nurul Hidayati, Melli Mariska, Sarlita Indah Sagita, Axioma Elmonura Gusaynsan
{"title":"Aplikasi Matriks Leslie untuk Memproyeksi Jumlah Penduduk Perempuan dan Laju Pertumbuhan Penduduk di Kabupaten Banyumas Tahun 2027","authors":"Yuliyanti Dian Pratiwi, Nurul Hidayati, Melli Mariska, Sarlita Indah Sagita, Axioma Elmonura Gusaynsan","doi":"10.30595/pspfs.v6i.855","DOIUrl":null,"url":null,"abstract":"BPS knows the population and the rate of population growth, namely using a population census that is carried out once every 10 years, because this timeframe is the right time to see the birth rate and death rate for an area. So it takes a long time to know the amount of population growth and population growth rate. Based on BPS data for Banyumas Regency for 2021, the population is 1,789,630 people, the population growth rate is 95%. And in 2022 the population will be 1,806,013 people, the population growth rate is 93%. So for 1 year from 2021 to 2022 there will be an increase of 16,383 people, based on data from BPS the number of Banyumas districts has increased. The Leslie Matrix is ??one of the mathematical tools used to model the growth and changes in populations of living things, so that it can assist BPS in predicting population numbers and population growth rates at a time. From Leslie's matrix calculations, the prediction for the female population in Banyumas Regency in 2027 is 985,304 people. And the result of calculating the dominant eigenvalue is ?=1.23 which shows that population growth is increasing.","PeriodicalId":165554,"journal":{"name":"Proceedings Series on Physical & Formal Sciences","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Series on Physical & Formal Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30595/pspfs.v6i.855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

BPS knows the population and the rate of population growth, namely using a population census that is carried out once every 10 years, because this timeframe is the right time to see the birth rate and death rate for an area. So it takes a long time to know the amount of population growth and population growth rate. Based on BPS data for Banyumas Regency for 2021, the population is 1,789,630 people, the population growth rate is 95%. And in 2022 the population will be 1,806,013 people, the population growth rate is 93%. So for 1 year from 2021 to 2022 there will be an increase of 16,383 people, based on data from BPS the number of Banyumas districts has increased. The Leslie Matrix is ??one of the mathematical tools used to model the growth and changes in populations of living things, so that it can assist BPS in predicting population numbers and population growth rates at a time. From Leslie's matrix calculations, the prediction for the female population in Banyumas Regency in 2027 is 985,304 people. And the result of calculating the dominant eigenvalue is ?=1.23 which shows that population growth is increasing.
应用莱斯利矩阵预测 2027 年班尤马斯地区女性人口数量和人口增长率
BPS了解人口和人口增长率,即使用每10年进行一次的人口普查,因为这个时间框架是查看一个地区出生率和死亡率的合适时间。所以要知道人口增长率和人口增长率需要很长时间。根据Banyumas Regency的BPS数据,2021年人口为1,789,630人,人口增长率为95%。到2022年,人口将达到1,806,013人,人口增长率为93%。因此,根据BPS的数据,从2021年到2022年的一年里,将增加16,383人,Banyumas地区的数量已经增加。莱斯利矩阵是??用于模拟生物种群增长和变化的数学工具之一,因此它可以帮助BPS预测种群数量和种群增长率。根据Leslie的矩阵计算,2027年Banyumas Regency的女性人口预测为985,304人。显性特征值的计算结果为?=1.23,表明人口增长在增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信