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All Journal Journal of Public Health Sciences Bincang Sains dan Teknologi
Ratna Yunita Setiyani
Universiti Kebangsaan Malaysia
Computer Science & IT Dentistry Electrical & Electronics Engineering Energy Engineering Health Professions Medicine & Pharmacology Nursing Public Health Transportation

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Aggressive Behavior of Adolescents in terms of Authoritarian Parenting Perceptions Ratna Yunita Setiyani; Icha Herawati; Fuad Nashori
Journal of Public Health Sciences Vol. 1 No. 02 (2022): Journal of Public Health Sciences
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.771 KB) | DOI: 10.56741/jphs.v1i02.104

Abstract

The family is the most critical environment in early adolescent development. Every parent's parenting style in educating their children is unique. Cruel parenting and lack of warmth between parents and children or also known as US authoritarian parenting is one of the most dominant forms of parenting that can affect adolescent attitudes. This study aims to determine the relationship between adolescent aggressive behavior and perceptions of authoritarian parenting. This study uses a quantitative method with a correlational approach. Respondents in this study were aged between 15 to 21 years and still lived at home with their parents. The number of respondents in this study were 105 respondents. The sampling technique used is probability sampling technique. Data collection is done by filling out a questionnaire. Data were analyzed with Pearson Correlation Product moment. The results showed that respondents limited aggressive behavior to a very high percentage of 58.1% (61 people). While authoritarian parenting was experienced by 44.8% (47 people), it was also experienced at a very high level of 46.7% (49 people). The results of product moment analysis obtained a value of p = 0.000 (p <0.05) with a correlation coefficient of 0.892 which indicates a high close relationship.
Critical Studies of Technology, Psychology, and Education on Online Games Dwi Sulisworo; Ratna Yunita Setiyani; Khairul Shafee Kalid; Vera Yuli Erviana
Bincang Sains dan Teknologi Vol. 1 No. 02 (2022): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.419 KB) | DOI: 10.56741/bst.v1i02.169

Abstract

nline games are developing rapidly and have an impact on children's behaviour. This study aims to explain the phenomenon of online game addiction from the perspective of psychology, technology, and education. The method is narratively qualitative—data obtained from online focus group discussions. The results of this study explain that online games today tend towards addictive behaviour. This situation is supported by the use of current technology in programming that allows the provision of varied features to increase the game's attractiveness. This addictive behaviour affects other behaviours that can affect the development of attitudes. This behaviour change affects learning performance. The teacher should adjust learning strategies in the digital era to adapt to children's new behaviours today related to online games.
Artificial Intelligence and Mental Health Issues: A Narrative Review Zandra Bonnine V. Salcedo; I Dewa Ayu Eka Purba Dharma Tari; Chadchom Ratsameemonthon; Ratna Yunita Setiyani
Journal of Public Health Sciences Vol. 2 No. 02 (2023): Journal of Public Health Sciences
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jphs.v2i02.282

Abstract

The objective of this study is to explore the potential of Artificial Intelligence (AI) in the field of mental health and its impact on the current healthcare system. The focus is to examine the benefits and challenges of using AI in mental health, including the ethics and privacy concerns. The method used in this study is a narrative review approach, which provides an overview of the current state and future possibilities of AI in mental health. The study is based on a comprehensive review of existing literature in the field, including peer-reviewed articles, books, and online resources. AI has the potential to revolutionize the mental health field. With the use of machine learning algorithms, AI can aid in the diagnosis and classification of mental health disorders, provide online platforms for mental health support, improve patient flow in inpatient units, relieve symptoms of depression and anxiety, and transform the future of psychiatry. Despite the potential benefits, there are also critical issues surrounding the use of AI in mental health, including data privacy, accuracy, and ethics. It is crucial for further research to address these challenges and ensure that the development and implementation of AI in mental health upholds ethical standards and prioritizes patient well-being.
Co-Authors Chadchom Ratsameemonthon Dwi Sulisworo Erviana, Vera Yuli Fuad Nashori I Dewa Ayu Eka Purba Dharma Tari Icha Herawati Khairul Shafee Kalid Zandra Bonnine V. Salcedo