Jurnal Saintek Lahan Kering
Vol 4 No 2 (2021): JSLK DESEMBER 2021

PROYEKSI INDEKS PEMBANGUNAN MANUSIA (IPM) KABUPATEN ALOR TAHUN 2030 MENGGUNAKAN PENERAPAN MODEL EKPONENSIAL DAN MODEL LOGISTIK

Melki Imamastri Puling Tang (Program studi Matematika FMIPA Universitas Tribuana Kalabahi)
Abraham Puling Tang (Unknown)



Article Info

Publish Date
12 Jan 2022

Abstract

The population growth rate of Alor district continues to increase every year. To estimate the population for the following year, population estimates are usually used, which are used as the basis for economic and social planning to determine future needs. Population growth models with exponential and logistic models are well known in determining population growth. The research method used is a case study of the population in Alor Regency. The data in this study is population data obtained from the Central Statistics Agency (BPS) Alor from 2015-2019. The data that has been obtained is processed using Exponential and Logistics methods to obtain forecast data or projections of the population of Alor Regency in 2020 Alor. Based on the results of the discussion above, exponential and logistic models can be used to predict the population of Aor Regency in 2030. Based on the results of the above discussion, exponential and logistical models can be used to predict the number of Human Development Index of Alor Regency in 2030. Predicted number of Human Development Index of Alor Regency in 2030, based on the results of exponential model 1 is 64.12; exponential model 2 is 65.69; and the exponential model 3 is 65.72. Meanwhile, the prediction of the Human Development Index for Alor Regency in 2030 based on the logistics model is 64.98.

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Journal Info

Abbrev

SLK

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Public Health

Description

Journal of dryland sci-tech (JDLS) covering the field of science and technology in terms of chemistry, biology, mathematics, information technology, and public health and nursing, based on ...