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All Journal Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Muhammad Mujib Al Khafid
Universitas Duta Bangsa Surakarta
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology

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Expert System Detecting Symptoms of Game Addiction with The Forward Chaining Method and Certainty Factor Muhammad Mujib Al Khafid; Sri Sumarlinda; Rina Arum Prastyanti
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1840.473 KB) | DOI: 10.47701/icohetech.v1i1.1125

Abstract

Games are fun playing activities. In the past, most children and adolescents played games with physical activities, but nowadays children and adolescents play games with their gadgets. Excessive gaming activity can lead to addiction. Game addiction can cause mental illness, even physical illness. This study aims to help gamers as well as the general public to better understand the symptoms of game addiction and early solutions to game addiction. This study uses forward chaining as a plot, namely by collecting symptoms to find the level of addiction and certainty factors as a calculation by calculating the level of trust and distrust of symptoms. In this study, game addiction resulted in 3 levels, low level game addiction, medium level game addiction and high level game addiction.
Co-Authors Rina Arum Prastyanti Sri Sumarlinda