Pengaruh Aktivitas Fisik Terhadap Peningkatan Kemampuan Memori Jangka Panjang

Zulhasniati, Zulhasniati; Yustinus, Yustinus; Suhartini, Bernadeta

doi:10.24036/jst.v6i2.1182

Cited by 2 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Engaging in physical or mental activities aimed at preserving and enhancing body health qualifies as sports or exercise (Ramadhan & Bulqini, 2018;Rasyid, 2021). Physical activity entails muscle involvement and heightened energy expenditure (Leonardo & Komaini, 2021;Saputro & Juntara, 2022). Muscles, as active tissue, contribute to bodily movement (Putri et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The balance before and after dehydration: an experiment to see the difference

Purnomo,

Roldan,

Cabarles

et al. 2023

TAJOR

View full text Add to dashboard Cite

Background and Study Aim. Balance is the ability to maintain the position of the body when standing, doing activities, also useful equilibrium, posture in order to be able to perform movement activities properly, water is very important for humans which is useful for maintaining cell hemostasis, fluid management interventions that pay attention to intek and output records that te Physical activity is a movement that involves muscles and energy working harder. This study aims to determine the difference in the effect before and after dehydration on body balance.Material and Methods. This research is a descriptive experiment. This research was conducted at the Sultan Syarif Abdurahman stadium field, Pontoianak City. The population used Sports Coaching Education students. Purposive sampling technique so that 16 students were sampled. The treatment was in the form of running 400m x 5 with a percentage of dehydration of 2%. Furthermore, the data were analyzed using SPSS 26.Results. The results showed a significance value of 0.241> 0.05, it can be concluded that there is no significant difference before and after dehydration on body balance. However, the calculation results can be seen that the mean balance will decrease if the body is dehydrated.Conclusions. Although there is a variation in the mean value, the difference does not reach the level of statistical significance. Thus, it can be concluded that body balance is not significantly affected by fluid loss before and after dehydration.

show abstract

Section: Introductionmentioning

confidence: 99%

The balance before and after dehydration: an experiment to see the difference

Purnomo,

Roldan,

Cabarles

et al. 2023

TAJOR

View full text Add to dashboard Cite

show abstract

“…This period is often called the "golden age," where 80% of their brain is actively developing. This phase is marked by rapid changes in physical, cognitive, emotional, moral, religious, and language development (Leonardo & Komaini, 2021). The pace of development varies among individuals and is influenced by genetics, physical health, nutrition, and the environment (Lin et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Physical activity is body movement produced by skeletal muscles that requires energy expenditure (Westerterp, 2013). Regular physical activity can improve a person's psychology by reducing stress, anxiety and depression (Welis & Sazeli, 2013;Leonardo & Komaini, 2021). Additionally, increasing physical activity can train the muscles, heart, and almost all other body parts to move actively and can prevent excessive fat accumulation in the body.…”

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.

View full text Add to dashboard Cite

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.

show abstract

Pengaruh Aktivitas Fisik Terhadap Peningkatan Kemampuan Memori Jangka Panjang

Cited by 2 publications

References 12 publications

The balance before and after dehydration: an experiment to see the difference

The balance before and after dehydration: an experiment to see the difference

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

Contact Info

Product

Resources

About