Skripsi

FORECASTING JUMLAH PENDUDUK INDONESIA MENGGUNAKAN DEEP LEARNING

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001698	T141039	T1410392024	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1410392024

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xii, 73 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004 .07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Pemrosesan data
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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