ANALISIS PERBANDINGAN K-MEANS DAN FUZZY C-MEANS UNTUK CLUSTERING KASUS COVID 19 DI DKI JAKARTA

PRADANI, ADHITIA PAHLEVI INDRA (2023) ANALISIS PERBANDINGAN K-MEANS DAN FUZZY C-MEANS UNTUK CLUSTERING KASUS COVID 19 DI DKI JAKARTA. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

The spread of COVID-19 originated in Wuhan China at the end of December 2019, COVID19 contamination is in the spotlight of the world today. In helping monitoring to determine the spread of the corona virus requires the application of the k-means and fuzzy c-means algorithm methods. In the application of the k-means and fuzzy c-means algorithms, the evaluation method used is the silhouette score method, then data is collected from the Jakarta government website. Then the application phase is carried out, namely the use of the silhouette score evaluation method. After that, conclusions are drawn from the results of the research conducted, the results of the application of the silhouette score evaluation method will be seen which method is superior between the K-Means and Fuzzy C-Means methods. Keywords: silhouette score, k-means, fuzzy c-means, COVID-19. Penyeberan COVID-19 berasal dari China wuhan pada akhir desember 2019, penyemaran COVID-19 menjadi sorotan dunia saat ini. Dalam membantu pemantauan untuk mengetahui penyebaran virus corona memerlukan penerapan metode algoritma k-means dan fuzzy cmeans. Dalam penerapan algoritma k-means dan fuzzy c-means ini menggunakan metode evaluasi yang digunakan adalah metode silhouette score selanjutnya dilakukan pengambilan data dari website pemerintahan dki jakarta. Kemudian fase dilakuan penerapan yakni penggunaan metode evaluasi silhouette score. Setelah itu diambil kesimpulan dari hasil penelitian yang dilakukan hasil dari penerapan metode evalusi silhouette score akan dilihat metode mana yang lebih unggul antara metode K-Means dan Fuzzy C-Means. Kata kunci : Silhouette Score, K-Means, Fuzzy C-Means, COVID-19

Item Type:	Thesis (S1)
Call Number CD:	FIK/SI. 23 073
NIM/NIDN Creators:	41819010022
Uncontrolled Keywords:	Silhouette Score, K-Means, Fuzzy C-Means, COVID-19
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem > 003.5 Computer Modeling and Simulation/Model dan Simulasi Komputer 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.1 General Works on Specific Types of Computers/Karya Umum tentang Tipe-tipe Khusus Komputer
Divisions:	Fakultas Ilmu Komputer > Sistem Informasi
Depositing User:	CALVIN PRASETYO
Date Deposited:	07 Oct 2023 04:00
Last Modified:	07 Oct 2023 04:00
URI:	http://repository.mercubuana.ac.id/id/eprint/82157

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