DIAGNOSA AWAL GEJALA KECANDUAN GAME ONLINE MENGGUNAKAN METODE CASE BASED REASONING

Shobriyansyah, Rachmat (2020) DIAGNOSA AWAL GEJALA KECANDUAN GAME ONLINE MENGGUNAKAN METODE CASE BASED REASONING. Tugas Akhir thesis, University of Technology Yogyakarta.

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Abstract

Expert system is a part of artificial intelligence that contains knowledge and experience to mimic the expertise of an expert. Online games in Indonesia have been loved by many children until adulthood. According to Ferdinandus Setu, Plt. Head of the Communication and Information Bureau of the Ministry of Communication and Information Technology, there are around 142 million internet users in Indonesia, of which around 30 million mileneal children actively play games. As we know, the World Health Organization or World Health Organizations (WHO) sets addiction to games or game disorders into the latest version of the International Statistical Classification of Diseases (ICD) as a condition of mental disorders for the first time in the latest version of ICD-11, WHO calls that addiction games are disorders due to addictive behavior or disorders caused by habits or addictions. The determination of symptoms in this expert system is done through a process of consultation between the user and the system using the Case Based Reasoning method. This system displays the symptoms of people online game addicts, then the user chooses the symptoms experienced. So users will be able to see the results where the results are for early knowledge of online game users. Keywords: Expert System, Online Game, Case Based Reasoning

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 20 Dec 2020 01:37
Last Modified: 20 Dec 2020 01:37
URI: http://eprints.uty.ac.id/id/eprint/6331

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