OPTIMASI FUNGSI KEANGGOTAAN FUZZY INFERENCE SYSTEM TSUKAMOTO DENGAN PARTICLE SWARM OPTIMIZATION UNTUK PREDIKSI CUACA DI PALEMBANG

AFRILIA, AFRILIA and Rini, Dian Palupi and Miraswan, Kanda Januar (2019) OPTIMASI FUNGSI KEANGGOTAAN FUZZY INFERENCE SYSTEM TSUKAMOTO DENGAN PARTICLE SWARM OPTIMIZATION UNTUK PREDIKSI CUACA DI PALEMBANG. Undergraduate thesis, Sriwijaya University.

Preview	Text RAMA_55201_09021181520029_0023027804_0009019002_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55201_09021181520029_0023027804_0009019002_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (692kB) | Request a copy
	Text RAMA_55201_09021181520029_0023027804_0009019002_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (277kB) | Request a copy
	Text RAMA_55201_09021181520029_0023027804_0009019002_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (545kB) | Request a copy
	Text RAMA_55201_09021181520029_0023027804_0009019002_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55201_09021181520029_0023027804_0009019002_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (297kB) | Request a copy
	Text RAMA_55201_09021181520029_0023027804_0009019002_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (707kB) | Request a copy
	Text RAMA_55201_09021181520029_0023027804_0009019002_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (277kB) | Request a copy
	Text RAMA_55201_09021181520029.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_55201_09021181520029_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy

Abstract

Fuzzy Inference System is one method that can be applied to predict the weather. However there is a problem that is often faced when implementing fuzzy logic, the problem is difficulty of determining the appropriate value limit of membership functions in a problem. Particle Swarm Optimization is one algorithm that is able to find optimal solutions because Particle Swarm Optimization focuses on solving optimization problems in the search for space to get solutions. So that the limits on the value of the membership function obtained can be an optimal solution. The result of weather prediction evaluation with Tsukamoto Fuzzy Inference System using the membership function obtained by Particle Swarm Optimization were able to improve the accuracy of weather prediction by 70,909% compared to using Tsukamoto Fuzzy Inference System with membership function of 50%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Prediksi Cuaca, Fuzzy Inference System, Particle Swarm Optimization
Subjects:	T Technology > T Technology (General) > T57-57.97 Applied mathematics. Quantitative methods
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 1604 not found.
Date Deposited:	02 Sep 2019 03:41
Last Modified:	02 Sep 2019 03:49
URI:	http://repository.unsri.ac.id/id/eprint/5224

Actions (login required)

View Item