PERBANDINGAN REDUKSI DIMENSI SINGULAR VALUE DECOMPOSITION DAN PRINCIPAL COMPONENT ANALYSIS PADA KLASIFIKASI DATA TRAFIK INTERNET

SALSABILA, SHOFI and Primartha, Rifkie and Jambak, Muhammad Ihsan (2018) PERBANDINGAN REDUKSI DIMENSI SINGULAR VALUE DECOMPOSITION DAN PRINCIPAL COMPONENT ANALYSIS PADA KLASIFIKASI DATA TRAFIK INTERNET. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381419068.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (9MB) | Request a copy
Preview	Text RAMA_55201_09021381419068_0001067709_0205046801_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (5MB) | Preview
	Text RAMA_55201_09021381419068_0001067709_0205046801_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (182kB) | Request a copy
	Text RAMA_55201_09021381419068_0001067709_0205046801_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (269kB) | Request a copy
	Text RAMA_55201_09021381419068_0001067709_0205046801_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_09021381419068_0001067709_0205046801_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (306kB) | Request a copy
	Text RAMA_55201_09021381419068_0001067709_0205046801_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (71kB) | Request a copy
	Text RAMA_55201_09021381419068_0001067709_0205046801_07_ref.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (86kB) | Request a copy
	Text RAMA_55201_09021381419068_0001067709_0205046801_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy

Abstract

High-dimensional data is a data that has many attributes, one of them is internet traffic data. This research used internet traffic data with 248 attributes. If the internet traffic data is going to be classified, a dimensional reduction technique is needed, because conventional classification algorithms work better in handling low dimensional data. Dimension reduction techniques are classified into 2 types, feature selection and feature extraction. This study will compare the implementation of the Singular Value Decomposition (SVD) algorithm as a feature selection and Principal Component Analysis (PCA) technique as an feature extraction technique for C4.5 classification algorithm. The results obtained by ANOVA shows insignificant differences on the value of accuracy, precision, and recall. However, in terms of computation time, the combination of PCA and C4.5 is proven to be slower than the other two methods.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Data Berdimensi Tinggi, Data Trafik Internet, Reduksi Dimensi, Singular Value Decomposition, Principal Component Analysis, klasifikasi C4.5
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mr Halim Sobri
Date Deposited:	24 Sep 2019 04:12
Last Modified:	24 Sep 2019 04:12
URI:	http://repository.unsri.ac.id/id/eprint/8658

Actions (login required)

View Item