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

TADRI, IRSYAD and Dian Palupi, Rini (2024) OPTIMASI FUZZY INFERENCE SYSTEMMODELMAMDANI DENGAN MENGGUNAKAN ALGORITMAPARTICLE SWARM OPTIMIZATION (PSO) UNTUKPREDIKSI TINGKAT POLUSI UDARA. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Polusi Udara, Prediksi, Fuzzy Inference System Mamdani, Algoritma Particle Swarm Optimization
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Irsyad Tadri
Date Deposited:	08 Jan 2025 08:48
Last Modified:	08 Jan 2025 08:48
URI:	http://repository.unsri.ac.id/id/eprint/163163

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