ANALISIS MINAT MASYARAKAT MENGGUNAKAN MEDIA SOSIAL MENGGUNAKAN ALGORITMA C4.5 DAN METODE NAÏVE BAYES

NIA PUTRI PANJAITAN, NPM 2009100038 (2024) ANALISIS MINAT MASYARAKAT MENGGUNAKAN MEDIA SOSIAL MENGGUNAKAN ALGORITMA C4.5 DAN METODE NAÏVE BAYES. Tugas_Akhir (Artikel) INFORMATIKA Universitas Labuhanbatu, 12 (3). pp. 546-555. ISSN 2615-1855 (e-ISSN)/ 2303-2863 (p-ISSN)

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Abstract

The analysis of public interest using social media in data mining aims to understand user preferences and interests in various topics or products. By analyzing data from social media platforms, such as posts, comments, and interactions, researchers can identify significant interest patterns and trends, which can be used for more effective marketing strategies or product development that suits the public's desires. Common methods used in this analysis are the C4.5 and Naive Bayes algorithms. The C4.5 algorithm builds a decision tree that makes it easy to visualize and interpret the main factors that influence public interest. Meanwhile, Naive Bayes, with its probabilistic approach, classifies data based on existing features, providing fast and accurate predictions. Both methods are applied to process data from social media and produce in-depth insights into user preferences. The results of the analysis show that the prediction and classification of public interest have good accuracy, with the comparison result values showing very satisfactory performance. Both are able to identify and classify interests accurately, utilizing the advantages of each method to provide a better understanding of what is interesting to the public on social media. Keywords : Classification; C4.5 Algorithm; Naive Bayes Method.

Item Type:	Article
Uncontrolled Keywords:	Classification; C4.5 Algorithm; Naive Bayes Method.
Subjects:	Z Bibliography. Library Science. Information Resources > ZA Information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions:	Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	12 Sep 2024 02:42
Last Modified:	12 Sep 2024 02:42
URI:	http://repository.ulb.ac.id/id/eprint/1064

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