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PERBANDINGAN METODE NAIVE BAYES DAN C4.5 DALAM KLASIFIKASI STATUS PENGGUNA MEDIA SOSIAL FACEBOOK

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Penilaian

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Classification is a text mining method that becomes an alternative to processing large and large amounts of data. Classification is used to predict the class of objects whose class is not yet known. In this study conducted a comparison of the performance of naive bayes and C4.5 methods aimed at measuring the accuracy and length of process time of each method to get the best method that will be applied in helping the process of classification of the status of social media users facebook. Testing in this study was done by comparing the results of software output manually. The results showed that naïve bayes method is superior by producing precision by 69.045%, recall value of 66.665%, and accuracy value of 70% compared to C4 method that produces precision value of 60%, recall value of 60%, and accuracy value of 60%, while computation time using C4.5 method is 15774 Milisecond which is faster than naïve bayes method resulting in 20313 Milisecond value.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000057	T39568	T395682020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

005.12

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2020

Collation

xviii, vi-1 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.12

Content Type

Text

Media Type

other

Carrier Type

-

Edition

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Subject(s)

Teknik Informatika
Pemograman Aplikasi

Specific Detail Info

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Statement of Responsibility

NO

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