PENGELOMPOKAN PENYAKIT KANKER SERVIKS BERDASARKAN GEJALA DENGAN MENGGUNAKAN FUZZY C-MEANS DAN PARTICLE SWARM OPTIMIZATION

JASMINE, NADYA PARAMESWARI and Rini, Dian Palupi and Oktadini, Nabila Rizky (2020) PENGELOMPOKAN PENYAKIT KANKER SERVIKS BERDASARKAN GEJALA DENGAN MENGGUNAKAN FUZZY C-MEANS DAN PARTICLE SWARM OPTIMIZATION. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381621105.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_55201_09021381621105_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (18MB) | Request a copy
Preview	Text RAMA_55201_09021381621105_0023027804_0010109104_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (2MB) | Preview
	Text RAMA_55201_09021381621105_0023027804_0010109104_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (766kB) | Request a copy
	Text RAMA_55201_09021381621105_0023027804_0010109104_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (490kB) | Request a copy
	Text RAMA_55201_09021381621105_0023027804_0010109104_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_09021381621105_0023027804_0010109104_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (455kB) | Request a copy
	Text RAMA_55201_09021381621105_0023027804_0010109104_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (197kB) | Request a copy
	Text RAMA_55201_09021381621105_0023027804_0010109104_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (423kB) | Request a copy
	Text RAMA_55201_09021381621105_0023027804_0010109104_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy

Abstract

Penelitian ini dikembangkan untuk menghasilkan perangkat lunak untuk mengelompokan penyakit kanker serviks dengan metode Fuzzy C-Means dan Particle Swarm Optimization. Pada Fuzzy C-Means melakukan pembangkitan nilai random, menghitung pusat cluster, menghitung fungsi objektif, dan menghitung perubahan matriks partisi. Pada Particle Swarm Optimization melakukan inisialisasi partikel, menentukan nilai constanta pbest dan gbest, membangkitkan nilai kecepatan awal pbest dan gbest nilai random. Pengujian dilakukan dengan cara melihat perubahan jumlah cluster, jumlah partikel, jumlah iterasi. Pengukuran validasi cluster dilakukan dengan menggunakan Davies Bouldin Index. Hasil dari pengukuran untuk Pengelompokan penyakit kanker serviks dengan menggunakan Fuzzy C-Means-Particle Swarm Optimization didapatkan nilai yaitu 0.0018244269263245 dan untuk metode Fuzzy C-Means didapatkan nilai yaitu 0.007945219909104092, dengan pengujian nilai jumlah partikel = 3, nilai cluster = 6, dan jumlah iterasi = 500.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kanker Serviks, Fuzzy C-Means, Particle Swarm Optimization, Davies Bouldin Index (DBI)
Subjects:	H Social Sciences > HG Finance > HG1709 Data processing Q Science > QA Mathematics > QA299.6-433 Analysis > Q337.3 Swarm intelligence. Big data -- Social aspects. Information technology -- Economic aspects. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.B45 Big data. Machine learning. Quantitative research. Metaheuristics.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 9151 not found.
Date Deposited:	29 Dec 2020 04:51
Last Modified:	29 Dec 2020 04:51
URI:	http://repository.unsri.ac.id/id/eprint/39103

Actions (login required)

View Item