Skripsi

OPTIMASI FUZZY INFERENCE SYSTEMMODELMAMDANI DENGAN MENGGUNAKAN ALGORITMAPARTICLE SWARM OPTIMIZATION (PSO) UNTUKPREDIKSI TINGKAT POLUSI UDARA

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Air is one of most importants thing in the world for all people, animals and plants. That’s why to check and maintain the air quality is one option to maintenance the world’s life. There are many way to check and maintain or even to predict the air polutions, and in this case i will use Fuzzy Inference System Mamdani. Not only with Fuzzy Inference System Mamdani, I will also optimize that with Particle Swarm Optimization Algorithm to obtain the optimal membership function. The result showed that Fuzzy Inference System Mamdani with Particle Swarm Optimization Algorithm produced lower MAPE value of 2,44 while Fuzzy Inference System Mamdani only produced MAPE value of 23,04.

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Detail Information

Series Title

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Call Number

T1631632024

Publisher

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

Collation

xvii, 67 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.907

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

-

Subject(s)

Prodi Teknik Informatika
Pemrosesan Data Non Elektronik

Specific Detail Info

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Statement of Responsibility

MURZ

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