Perilaku Kurang Gerak (Sedentary Behaviour) Dengan Perkembangan Psikososial Anak Pra Sekolah

Ludyanti, Laviana Nita

doi:10.33366/jc.v7i2.1290

Cited by 5 publications

(7 citation statements)

References 4 publications

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“…Teenagers seem to have a world of their own. Adolescents who experience more sedentary behavior will spend more time playing alone, move less and interact less with the outside environment (Ludyanti, 2019;Sousa & Silva, 2017).…”

Section: Discussionmentioning

confidence: 99%

Sedentary Lifestyle with Social Interaction In Adolescent

Fuadah¹,

Siswoaribowo

Diniaty

2021

janh

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Background: Sedentary lifestyle is problematic among millennial generation teenagers. One of the factors is that technological advances in the 4.0 era are very rapid, especially the use of technology such as television, computers, gadgets, and the internet. The purpose of this study was to determine the relationship between Sedentary Lifestyle and Social Interaction in Adolescents at SMP 1 Sudimoro. Methods: The design of this research is the correlation with approach cross-sectional, the sample is 30 respondents, the sampling technique is total sampling. The independent variable in this study is a sedentary lifestyle, while the dependent variable in this study is social interaction. The measuring instrument used is a questionnaire. This study was analyzed using the Spearman Rank Test. Results: The results showed that most (76.7%) experienced a Sedentary Lifestyle in the moderate category, and most (83.3%) social interactions in the maladaptive category. Based on the spearman's rho test, a p-value of 0.033 (α<0.05) was found, meaning that there was a relationship between a sedentary lifestyle and social interaction among adolescents at SMPN 1 Sudimoro. Interaction mediated by screen-based behavior does not teach healthy social skills to adolescents. Conclusion: They are more comfortable and willing to spend more time interacting with their friends in cyberspace. It is recommended for parents to always provide direction and monitoring on the use of media screens in adolescents, as well as reducing a sedentary lifestyle.

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Section: Discussionmentioning

confidence: 99%

Sedentary Lifestyle with Social Interaction In Adolescent

Fuadah¹,

Siswoaribowo

Diniaty

2021

janh

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“…Perkembangan motorik kasar potensial pesat pada anak usia dini hingga jenjang sekolah dasar. Akan tetapi dengan berkembangnya iptek, menciptakan berbagai macam kemudahan yang menyebabkan adanya peningkatan perilaku kurang gerak (sedentary behavior) (Ludyanti, 2019). Anak-anak jaman sekarang dan termasuk anak sekolah dasar memliki hal baru seperti memainkan"game online" play station,menonton film atau internet.…”

Section: Pendahuluanunclassified

Peningkatan Keterampilan Tendangan Dalam Pencak Silat Melalui Variasi Gerak Dasar Tendangan “T” dan Tendangan Depan Pada Siswa Kelas V SDN Pinggir Papas 1

Amroin

Indahwati

2021

JISIP

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The purpose of this study was to improve the learning outcomes of basic kick motion skills in pencak silat through variations of the basic 'T' and front kick motion using assistive media in fifth grade students of SDN Pinggir Papas I in the 2020/2021 academic year. This research was a Classroom Action Research (PTK). The research was carried out using one cycle, if the desired results have not been achieved then the following cycle is continued, with each cycle consisting of planning, implementing actions, observing and reflecting. The subjects of this study were twenty-four students of grade five SDN Pinggir Papas I for the 2020/2021 academic year. The data sources came from teachers and students. Data collection by front kick pencak silat and activity observation during the teaching and learning activities of kicks in pencak silat using learning aids. The data in this study were in the form of quantitative and qualitative data. In this research, it produces data on the improvement of students in learning the basic movements of the T kick and front of the pencak silat with variations and learning aids. The achievement of completeness of the learning outcomes of the pencak silat T kick from pre-cycle one is about sixty-seven percent. From cycle one to cycle two amounted to twenty five percent. Meanwhile, learning outcomes for front kicks from pre-cycle to cycle 1 experienced an increase of fifty-four percent. The improvement of learning outcomes for T and forwards kicks with variations in T and forwards kick exercises has increased until it reaches the learning target, namely reaching the good and very good categories. Based on the results of the study, the conclusion is: Variations in the basic motion of the 'T' kick and forwards in learning can improve learning outcomes of the basic movement skills of pencak silat kicks in fifth grade students of SDN Piggir Papas I in the 2020/2021 school year.

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“…Children, on average, are involved in activities like watching television, reading books, storytelling, playing with mobile phones, seeking help with tasks, and spending little time outdoors (Ludyanti, 2019). These activities result in a reduced expenditure of their body's energy, which increases the likelihood of adopting a sedentary lifestyle (Nurcahyo, 2015).…”

Section: Introductionmentioning

confidence: 99%

Classifying Physical Activity Levels in Early Childhood Using Actigraph and Machine Learning Method

Wandani,

Suherman,

Jajat

et al. 2023

Ind. Jo. Spo. Man.

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Actigraph is a widely used accelerometer for classifying physical activity levels in children, adolescents, adults, and older people. The classification of physical activity levels on Actigraph is determined through time calculations using cut-point formulas. The study aims to classify physical activity in young children according to the guidelines of the World Health Organization (WHO) using accelerometer data and machine learning methods. The study involved 52 young children (26 girls and 26 boys) aged 4 to 5 years in West Java, with an average age of 4.58 years. Physical activity and sedentary behavior of these early childhood were simultaneously recorded using the Actigraph GT3X accelerometer for seven days. The data from the Actigraph were analyzed using two algorithm models: the decision tree and support vector machine, with the Rapidminer application. The results from the decision tree model show a classification accuracy of 96.00% in categorizing physical activities in young children. On the other hand, the support vector machine model achieved an accuracy of 84.67% in classifying physical activities in young children. The decision tree outperforms the support vector machine in accurately classifying physical activities in early childhood. This research highlights the potential benefits of machine learning in sports and physical activity sciences, indicating the need for further development.

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Perilaku Kurang Gerak (Sedentary Behaviour) Dengan Perkembangan Psikososial Anak Pra Sekolah

Cited by 5 publications

References 4 publications

Sedentary Lifestyle with Social Interaction In Adolescent

Sedentary Lifestyle with Social Interaction In Adolescent

Peningkatan Keterampilan Tendangan Dalam Pencak Silat Melalui Variasi Gerak Dasar Tendangan “T” dan Tendangan Depan Pada Siswa Kelas V SDN Pinggir Papas 1

Classifying Physical Activity Levels in Early Childhood Using Actigraph and Machine Learning Method

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