IJISTECH
Vol 3, No 2 (2020): May

Diagnosis of Victims of Bullying Behaviour Using Bayes Method

Abdul Halim Hasugian (Departement of Computer Science, Faculty of Science and Technology, Universitas Islam Negeri Sumatera Utara Medan)
Mhd. Furqan (Departement of Computer Science, Faculty of Science and Technology, Universitas Islam Negeri Sumatera Utara Medan)
K Khairunnisa (Departement of Computer Science, Faculty of Science and Technology, Universitas Islam Negeri Sumatera Utara Medan)



Article Info

Publish Date
30 May 2020

Abstract

Victims of bullying behavior in the first high school students are still going on and unresolved. Victims of bullying behavior that is not easily visible to the naked eye and the lack of knowledge about bullying are problems in resolving the problem. This research is to create an expert system that can diagnose victims of bullying behavior based on the symptoms suffered by the victims of bullying to address the problems faced during this time. The Bayes method describes the relationship between the probability of A with event B has occurred. The probability of event B on the condition of event A has occurred. The occurrence of an event based on the influence gained from the observation result, Like bullying symptoms that occur in victims of bullying behavior, the Bayes method will calculate the probability and generated types of bullying experienced by students based on the knowledge that is in the can of an expert and made into an application.

Copyrights © 2020






Journal Info

Abbrev

ijistech

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

Description

IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: ...