Sistem Pakar Diagnosis Internet Gaming Disorder (IGD) Menggunakan Naïve Bayes Classifier dan Certainty Factor Berbasis Mobile App.

Larasati, Medina Della, - (2021) Sistem Pakar Diagnosis Internet Gaming Disorder (IGD) Menggunakan Naïve Bayes Classifier dan Certainty Factor Berbasis Mobile App. Skripsi thesis, UNIVERSITAS AIRLANGGA.

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Official URL: http://www.lib.unair.ac.id

Abstract

Internet Gaming Disorder (IGD) or Gaming Disorder is a gaming behavior characterized by disruption to controlling oneself towards games, increasing priority for games, and continues gaming despite its negative impacts. This can be seen from everyday life where children and adults spend more time with gadgets to play games than do other activities. In an effort to control the IGD, a tool that functions as a substitute is needed for a psychiatrist in making a diagnosis so that a person can identify the symptoms that are being experienced. In this thesis, an expert system application based on a mobile app is made to diagnose IGD using the Naïve Bayes Classifier and Certainty Factor methods. The Naïve Bayes Classifier is a classification method based on Bayes Theorem, while the Certainty Factor is a method for combining degrees of belief and disbelief into a number. Based on the expert system testing, the suitability level was 92%.

Item Type: Thesis (Skripsi)
Additional Information: KKC KK MPM.35-21 Lar s
Uncontrolled Keywords: Naïve Bayes Classifier, Certainty Factor, Expert System, Internet Gaming Disorder, Mobile App.
Subjects: Q Science > QA Mathematics > QA76.575 Multimedia systems and Internet
Divisions: 08. Fakultas Sains dan Teknologi > Matematika
Creators:
CreatorsNIM
Larasati, Medina Della, -NIM081711233062
Contributors:
ContributionNameNIDN / NIDK
ContributorDamayanti, Auli, -NIDN0007117502
ContributorWinarko, Edi, -NIDN0014056706
Depositing User: Tatik Poedjijarti
Date Deposited: 14 Oct 2021 06:47
Last Modified: 14 Oct 2021 06:47
URI: http://repository.unair.ac.id/id/eprint/111231
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