CLUSTERING DATA CITA PADA SISTEM BLOCKCHAIN DENGAN METODE K-MEANS

RAMADHANI, FADILLA and Stiawan, Deris and Ubaya, Huda (2023) CLUSTERING DATA CITA PADA SISTEM BLOCKCHAIN DENGAN METODE K-MEANS. Undergraduate thesis, Sriwijaya University.

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Abstract

Clustering adalah cara untuk mengelompokkan data menjadi beberapa kelompok serta mencari pola tersembunyi yang ada pada kumpulan data. Clustering K-Means bertujuan untuk menyelesaikan masalah skalabilitas data maupun pembersihan data dengan cara membuat cluster pada data yang memiliki pola yang sama. Ada beberapa sistem Blockchain, yang paling umum salah satunya yaitu CITA. Blockchain menyimpan data logs yang merupakan file pada sistem blockchain yang mencatat semua kegiatan yang berlangsung pada sistem tersebut. Hasil dari Clustering dapat dievaluasi menggunakan silhouette score. Silhouette score diperlukan untuk menentukan seberapa baik sebuah cluster. Dari penelitian ini diperoleh nilai silhouette score dari CPU dan Memory sebesar 0,047730186837680606, nilai dari VMemory dan PWrites sebesar 0,5019061607424609, serta nilai dari Network Received dan Network Sent sebesar 0,8253652290061099.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Clustering, K-Means, Blockchain, CITA, Silhouette score
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Fadilla Ramadhani
Date Deposited: 25 May 2023 04:44
Last Modified: 25 May 2023 04:44
URI: http://repository.unsri.ac.id/id/eprint/105070

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