The Classification of Children Gadget Addiction:  The Employment of Learning Vector Quantization 3

Okfalisa, Okfalisa; Budianita, Elvia; Irfan, Musa; Rusnedy, Hidayati; Saktioto, Saktioto

doi:10.25299/itjrd.2021.vol5(2).5681

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…Studies in the literature23,28,29 show that 70% to 80% of data are used for training AI models and 20% to 30% of the data set are used for testing. The authors of some studies, however,23,29–31 note that the general preference is to use 80% of the data for training and 20% for testing. In the present study, we too used 80% of the audiovisual recordings of the newborns for training and 20% to test the model.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Comfort Behavior Levels of Newborn by Artificial Intelligence Techniques

Yigit,

Acikgoz

2024

Journal of Perinatal &Amp; Neonatal Nursing

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Background: One of the scales most frequently used in the evaluation of newborn comfort levels is the Neonatal Comfort Behavior Scale (NCBS). It is important therefore that an increased use of the NCBS is encouraged through a more practical method of assessment. Objective: This study was carried out for the purpose of designing a means of assessing neonatal comfort levels by employing the techniques of artificial intelligence (AI). Methods: The AI-based study was conducted with 362 newborns under treatment in the neonatal intensive care unit of a hospital. A data collection form, the NCBS, and a camera system were used as data collection tools. The data were analyzed with the SPSS Statistics 21.0 program. Descriptive statistics and Cohen κ test were employed in the analysis. Results: The 2 researchers named in the study first labeled the audiovisual recordings of the 362 newborns in the study. These labeled audiovisual recordings were used in training (80%) as well as testing (20%) the AI model. The AI model displayed a rate of success of 99.82%. Conclusion: It was ultimately seen that the AI model that had been developed was a successful tool that could be used to determine the comfort behavior levels of newborns in the neonatal intensive care unit.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Comfort Behavior Levels of Newborn by Artificial Intelligence Techniques

Yigit,

Acikgoz

2024

Journal of Perinatal &Amp; Neonatal Nursing

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“…The FP-Tree development stage uses the FP-Growth algorithm to look for frequent and significant itemsets using a set of transaction data. The FP-Growth algorithm is divided into three main steps, namely [14]- [16]:…”

Section: Fp-treementioning

confidence: 99%

Analysis of Information Technology (IT) Goods Sales Patterns Using the FP-Growth Algorithm

Wandri

Hanafiah

2022

ITJRD

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Determination of sales patterns is very important in marketing. Sales pattern serves to conduct an effective analysis in improving marketing. Sales analysis aims to explore new knowledge that can help design effective strategies by utilizing sales transaction data. This study processes sales data for 12 transaction days containing 47 items using the Fp-Growth algorithm. The results of this study are items with a minimum value of support > 0.10 and confidence 0.60 and will be compared with testing data using RapidMiner to test whether the results are valid so that the test results can help in designing sales strategies.

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“…This is Psychological problems of learning from home… -M. Syukri Azwar Lubis Hotni Sari Harahap, Armalina also in line with the statement issued by American Media that the increased use of gadgets among children initially serves to learn. However, because parental supervision is low, their children are eventually misused (Okfalisa et al, 2020).…”

Section: Android Becomes a Place Of Escape For Children (Under The Pretext Of Avoiding Stress)mentioning

confidence: 99%

Psychological problems of learning from home during the covid-19 pandemic in early childhood

2021

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The COVID-19 pandemic has caused the face-to-face learning system to switch to learning from home. This transition makes parents have to adapt to these new circumstances. This study aims to determine the psychological problems of learning from home during COVID-19 in early childhood. This qualitative research with a case study approach involves parents of children aged 5-6 years, schools, and the community in Paya Geli Village, Sunggal District, Deli Serdang Regency, North Sumatra Province. Data were obtained through interviews, observation, and documentation techniques. Data analysis uses the Miles and Huberman model, including data reduction, display, and verification. The results of this study found several problems, namely: 1) Parents became stressed so that violence occurred in teaching. 2) Children become passive, uncreative, unproductive due to stress. 3) gadgets have become a place for children to escape to avoid stress. Thus, it is hoped that parents will be wiser in teaching their children at home to minimize the occurrence of psychological problems learning from home.

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The Classification of Children Gadget Addiction: The Employment of Learning Vector Quantization 3

Cited by 6 publications

References 11 publications

Evaluation of Comfort Behavior Levels of Newborn by Artificial Intelligence Techniques

Evaluation of Comfort Behavior Levels of Newborn by Artificial Intelligence Techniques

Analysis of Information Technology (IT) Goods Sales Patterns Using the FP-Growth Algorithm

Psychological problems of learning from home during the covid-19 pandemic in early childhood

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