FORECASTING JUMLAH PENDUDUK INDONESIA MENGGUNAKAN DEEP LEARNING

PUTRA, ALFATH ADITYA and Supardi, Julian and Rodiah, Desty (2024) FORECASTING JUMLAH PENDUDUK INDONESIA MENGGUNAKAN DEEP LEARNING. Undergraduate thesis, Sriwijaya University.

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Abstract

The rate of population growth has three main factors, these are natality, mortality, and migration. These three factors can be used to estimate the population in the future. Based on this population prediction, it can be used for various policies in development planning in a region. In this research, the autoencoder method will be use for predict population. With this method, the input dimensions will reduce to a code, then input will be reconstructed back into an output withdimension same as before. To verify proposed method, Indonesian population data from 1950 until 2022 will be used, the results of testing with autoencoder with the best accuracy are MSE 0.000043483, MAE 0.005248234, and R2 0.990231442.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Menggunakan Deep Learning, Forecasting Jumlah Penduduk
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Alfath Aditya Putra
Date Deposited:	23 Feb 2024 04:31
Last Modified:	23 Feb 2024 04:32
URI:	http://repository.unsri.ac.id/id/eprint/141039

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