Skripsi

PREDIKSI JUMLAH PENDUDUK MENGGUNAKAN ALGORITMA BACKPROPAGATION

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Penilaian

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Population prediction is carried out in an effort to determine the population in the future. Because the population in the future is not easy to know with certainty, this research predicts the population using artificial neural networks with the backpropagation algorithm, because it can project the population in the future based on time series data in previous periods. The advantage of the backpropagation algorithm is that it has high accuracy. The level of error in this study was measured using MAPE. Based on testing in predicting population numbers in Musi Rawas Regency using the backpropagation algorithm with architectural test designs 13-7-1, 13-14-1 and 13-27-1 with a learning rate of 0.1; 0.3; 0.5; 0.7 to 14 data using data for 15 years, the best results are obtained in testing the 13-7-1 architecture, with 13 input nodes, 7 hidden nodes, and 1 output, and a learning rate of 0.1 which gives MAPE value of 0.519% with an accuracy of 99.48%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002391	T40905	T409052021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T409052021

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xx, 81 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.015 107

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Teknik Informatika
Prinsip Matematika dalam Ilmu Komputer

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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