Research Article
Clustering Model to Measuring Level of Game Addiction
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280618, author={Anastasya Latubessy and Ratih Nindyasari and Alif Catur Murti and Aditya Akbar Riadi and Tutik Khotimah}, title={Clustering Model to Measuring Level of Game Addiction}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={addiction clustering game}, doi={10.4108/eai.24-10-2018.2280618} }- Anastasya Latubessy
Ratih Nindyasari
Alif Catur Murti
Aditya Akbar Riadi
Tutik Khotimah
Year: 2018
Clustering Model to Measuring Level of Game Addiction
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280618
Abstract
World Health Organization (WHO) has issued a statement that addiction to the game is one of the mental disorders. Playing games favored by various age groups. Adults and children love to play games. Excessive game play patterns can lead to addiction to games. Actually, the rate of addiction to games can be measured. One way of measuring the level of game addiction is to classify the symptoms of this type of game addiction behavior. There are six types of game addiction behavior that have been obtained from previous research. Those symptoms can be grouped using one of the clustering methods. This study uses K-Means Clustering to categorize the rate of game addiction.
Copyright © 2018–2024 EAI