Quickly Understanding on Progressive Muscle Relaxation with Video-based Learning in Secondary School Students

Sulaiman, Wan Mohamad Hafiz Bin; Jumintono, Jumintono; Wahyuniati, Christina Fajar Sri; Suryandartiwi, Wiwik; Sunardi, Jaka; Umar, Fadilah; Manoppo, Febri Kurnia; Yudanto,; Hos, Jamaluddin

doi:10.13189/saj.2020.080504

Cited by 5 publications

(5 citation statements)

References 20 publications

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“…Therefore, proposals to make field visits more often can be considered [26]. Meanwhile, in the classroom, other ways in increasing learning activity of class are video-based [27] and also think, pair, and share method [28].…”

Section: Discussionmentioning

confidence: 99%

Improving Learning Achievement on Family Medicine Topic by Increasing Learning Activity for Medical Students

Silitonga¹,

Wartiningsih²,

Adrianto³

et al. 2021

ujer

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Section: Discussionmentioning

confidence: 99%

Improving Learning Achievement on Family Medicine Topic by Increasing Learning Activity for Medical Students

Silitonga¹,

Wartiningsih²,

Adrianto³

et al. 2021

ujer

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“…In addition, research states that technical factors affect knowledge-sharing activities (Almaiah et al, 2020). Therefore, educational institutions and lecturers need to consider technology in knowledge-sharing activities (Sulaiman et al, 2020).…”

Section: The Influence Of Technology Factors On Student Knowledge Sha...mentioning

confidence: 99%

Analysis of Individual Factors in Improving Knowledge Sharing: Case Study of Accounting Education Students

Sumaryati¹,

Romadhoni²,

Muchsini³

et al. 2022

JCT

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Education is a long-term investment in human resources for the survival of human civilisation in the world. Advances in technology can be used as a supporting tool in the learning process. However, the technology used can be influenced by individual and organisational factors in its use. This study aims to determine individual, organisational and technological factors in the student knowledge sharing process. This study uses a quantitative approach with a descriptive survey design method. Respondents in this study were students of the Accounting Education, Universitas Sebelas Maret class 2018-2020, with 149 students. The indicators used in the measurement are individual factors (self-efficacy, willingness to share, and reciprocal rules), organisational factors (lecturer support and competitiveness), and technological factors (availability of technology and use of technology). The data analysis method uses the SEM model. The study results show that individual and technology factors affect the knowledge-sharing process, and the organisation does not affect the knowledge-sharing process.

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“…Child height is an important indicator of human capital and human development (Alves Junior et al, 2021). Health is the beginning of life for humans (Phukan et al, 2021;Sulaiman et al, 2020). Nutrition received by the body can shape the child's height and provide health (Vyas et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Observation of children's age to predict maximum height

Purnama¹,

Hidayatullah²,

Umar³

et al. 2023

jhse

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The ideal height is one of the things that people in Indonesia and around the world want. This study aims to formulate guidelines for predicting the maximum height of men and women. The method used in this research is descriptive. This study observed the growth and development of height for girls aged 0-18 years and boys aged 0-19 years. This research was conducted in the city of Surakarta, Central Java, Indonesia. The research sample was obtained from Posyandu, PAUD, SD, SMP, and SMA. Data were collected by observing the respondent's height. Data analysis used the Miles and Huberman model, namely data reduction, data tabulation, data presentation, and concluding. Measurements for predicting a child's height can be done by considering weight and age percentage. The results showed that predicting a child's height could be done by considering the percentage of weight and age. Every year the growth of the child's height will increase according to the age of growth. Therefore, child height growth data can predict the maximum height of children at the age of 18 years for girls and 19 years for boys. Furthermore, the child height prediction method can be applied to determine the child's height in the future.

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Quickly Understanding on Progressive Muscle Relaxation with Video-based Learning in Secondary School Students

Cited by 5 publications

References 20 publications

Improving Learning Achievement on Family Medicine Topic by Increasing Learning Activity for Medical Students

Improving Learning Achievement on Family Medicine Topic by Increasing Learning Activity for Medical Students

Analysis of Individual Factors in Improving Knowledge Sharing: Case Study of Accounting Education Students

Observation of children's age to predict maximum height

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