Similarity-AF-Identification of Cyber Bullying by using Clustering Methods on Social Media Twitter

Meliana, Nina and Sunardi, Sunardi and Fadlil, Abdul (2022) Similarity-AF-Identification of Cyber Bullying by using Clustering Methods on Social Media Twitter. Journal of Physics: Conference Series.

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Abstract

In today's era social media is very important for some people, because it is the nature of social media that can make people addicted to using social media, this has been widely proven in terms of medical, social interaction has been reduced due to social media, things related to the physical to be reduced, for example going out, and playing outdoors for children,
for adults social media can be positive and negative, positive if used to offer old friends who don't meet for long, but negative things can be used to crime or things that are not good, what else will soon be the presidential election, social media becomes a place or means of defamation of one party with another, the initial goal of social media is to build good relations Actually, there is a sentence that says "Yout thumb your tiger" with comments that are not good on social media. If we take us to the criminal section, and our words on social media can be legally justified, one example is intimidation, intimidation is one of the ITE Law articles, intimidation will be lifted from Twitter's social media, with Twitter we can see examples how much of this intimidation. In retrieving data on social media there are several methods used in retrieving data, the method used is the clustering method or data grouping method. The study used the Naive Bayes and Decision Tree J48 classification method. The results to be obtained in this study are the Naive Bayes method which obtained an average value of the overall scenario of 92% success rate and 8% not detected and the result of Decision Tree J48 method with an accuracy value of 100%. The most widely used type of cyberbullying is psychology related bullying or related to one's ignorance or nature.

Item Type: Artikel Umum
Subjects: Q Science > Q Science (General)
Q Science > QC Physics
T Technology > T Technology (General)
Divisi / Prodi: Master (Magister) > Master of Technology Informatica (Magister Teknologi Informatika)
Depositing User: Drs. Abdul Fadlil, M.T., Ph.D.
Date Deposited: 20 Aug 2022 05:48
Last Modified: 20 Aug 2022 05:48
URI: http://eprints.uad.ac.id/id/eprint/36370

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