JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 1 No. 3 (2022): September

Classification of Internet Addiction Levels in Students Using the Naïve Bayes Algorithm

Fakhriyah Zulfah Parinduri (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Rafika Dewi (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Susiani Susiani (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)



Article Info

Publish Date
18 Oct 2022

Abstract

The presence of the internet on students has a big influence on science and technology which makes the internet as an additional insight to find the information needed, apart from being a source of information, students also access the internet as a means of entertainment. So that it makes students last longer in front of gadgets or computers continuously. The purpose of this study is to determine whether students are indicated by internet addiction and provide input to STIKOM Tunas Bangsa to make policies that use the internet as a learning process so that internet addiction does not occur excessively. Because it is very influential in the learning process to add insight about science and technology to students. The subjects carried out by this study were students who were studying at STIKOM Tunas Bangsa. Therefore, the research was conducted using the Naïve Bayes algorithm classification, in which the data was obtained using a questionnaire distributed to students. The subjects carried out by this study were students who were studying at STIKOM Tunas Bangsa. Therefore, the research was conducted using the Naïve Bayes algorithm classification, in which the data was obtained using a questionnaire distributed to students. It is hoped that this research can be information for students to be able to maintain self-control in utilizing various entertainments on the internet.

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Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...