Skripsi

DETEKSI KEMIRIPAN DOKUMEN MENGGUNAKAN METODE DOCUMENT CLUSTERING K-MEANS CLUSTERING

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Penilaian

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Detection, is an action or process of identifying the presence of something that is concealed. This research aim to develop a software that can be used to detect the similarity between thesis using the K-Means Clustering method, which is one of the simplest and popular unsupervised machine learning algorithms. In this research the detection is done on 56 documents using the silhouette method to determine the optimal number of cluster and davies-bouldin index to evaluate the clustering result. The results of the research show that based on the documents studied, the optimal number of clusters was 35 clusters. In which there are 5 clusters that have a population of more than 2 documents.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001926	T141868	T1418682023	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1418682023

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xvii, 105 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

unmediated

Carrier Type

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Edition

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Subject(s)

Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

KA

Other version/related

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