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PREDIKSI JUMLAH PENDUDUK DI SUMATRA SELATAN MENGGUNAKAN ALGORITMA FUZZY TIME SERIES DAN PARTICLE SWARM OPTIMIZATION

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Penilaian

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Population growth occurs due to the increase in the number of births.The impact of population growth affects human welfare,both in the economic,health social,political and cultural fields.Therefore it is necessary to conduct population forecasting so that it can control population growth and population welfare on a regular basis,based on the results of the forecasting carried out .One of the forecasting methods used is Fuzzy Time Series (FTS).However,this method still has drawbacks,namely in determining the value of the interval that is not precise.So an optimization algorithm is needed to find the optimal value of the interval .This study aims to forecast the population in the city of Palembang using the FTS method which is optimized using the Particle Swarm Optimization (PSO) The amount of data used is 60 data for 5 years and the historical population for the period 2010-2020, the method used to calculate eros obtained using RMSE and AFER so that the average accuracy result is obtained.From the overall test of RMSE = 22182,58487 da AFER = 9.8175400 % .

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207004663	T82655	T826552022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T826552022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xvii, 93 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.360 7

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)

Program aplikasi
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

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