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

SARI, DIAN LUKITA and Primartha, Rifkie and Arsalan, Osvari (2020) PERBANDINGAN METODE NAIVE BAYES DAN C4.5 DALAM KLASIFIKASI STATUS PENGGUNA MEDIA SOSIAL FACEBOOK. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Klasifikasi, Naïve bayes, C4.5
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) > T14 Philosophy. Theory. Classification. Methodology Cf. CB478 Technology and civilization T Technology > T Technology (General) > T1-995 Technology (General) > T14 Philosophy. Theory. Classification. Methodology Cf. CB478 Technology and civilization > T14.5 Social aspects Class here works that discuss the impact of technology on modern society
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 9500 not found.
Date Deposited:	11 Jan 2021 03:51
Last Modified:	11 Jan 2021 03:51
URI:	http://repository.unsri.ac.id/id/eprint/39568

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