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The Relationship Between Social Media Dependency, Mental Health, and Academic Performance Among Adolescents in Indonesia Zani, Benny Novico; Said, Faridah Mohd; Nambiar, Nisha; Sholihat, Siti
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 10 No. 4 (2024): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL) : SPECIAL EDIT
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v10i4.699

Aims : the purpose of this study was to investigate the relationship between social media addiction, mental health, and academic performance among adolescents in Depok, Indonesia. Methods : A cross-sectional study was conducted in senior high school students in Depok, West Java, among teenagers aged 15-18 years. The Social Media Addiction Scale-Student Form (SMAS-SF) Questionnaire scale, the Depression Anxiety Stress Scale (DASS), and the Social Media and Academic Performance of Students (SMAAPOS) were the scales employed. Results : The mean age of the 200 adolescents in the intervention group was 16.37 (SD+2.55), with 60% being male. With an average score of 88.43 (SD=24.53), respondents demonstrated a moderate level of social media dependency. The respondents' mental health score dropped from 21.37.78 to 90.2137.24, and their academic performance was mediocre. Social media dependency (r=0.241) and sadness (r=0.405) were found to be substantially related to academic performance. Conclusions : correlation between social media addiction and mental health problems (r=0.334) was discovered. Supportive social environments and social networks, as well as improved emotional regulation and resilience in the face of stress and adversity, are central goals of interventions for the promotion and prevention of mental illness.

Cross-culture adaptation and validation of Indonesian version of the postpartum depression literacy scale Solihat, Siti; Panduragan, Santhna Lechmi; Nambiar, Nisha; Zani, Benny Novico
International Journal of Public Health Science (IJPHS) Vol 12, No 4: December 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i4.21891

Mental health illiteracy has been found to be a risk factor in a large number of disorders. The purpose of this study was adapting cross-culturally the Postpartum depression literacy scale (PoDLiS) questionnaire in Indonesian pregnant and postnatal women. There were three stages involved in this study: translation, cultural adaptation, and validation of an instrument. A cross-sectional study was carried out on a convenient sample of pregnant and postpartum women who visited the prenatal and pediatric clinics of an Indonesian general hospital. Construct validity and reliability testing was conducted using factors analysis, confirmatory factors analysis, and convergent and discriminant validityThe scale’s reliability was determined using internal consistency. Within their own factor, the bulk of the elements had a high factorial weight (>.50). The model with seven factors shows excellent fit indices after confirmatory factor analysis (CFI=0.94; TLI=0.98; RMSEA=0.056 [95% CI 0.011-0.095]). Because seven components have average variance extracted (AVE >50), there is convergent validity. Because the AVE coefficients for the seven components are greater than the correlation coefficients for each dimension, each dimension possesses discriminant validity. The PoDLiS structure is suitable for pregnant and postpartum women from various cultures, particularly Indonesia.

ChatGPT: Opportunities and Challenges in the Learning Process of Arabic Language in Higher Education Lelepary, Heppy Leunard; Rachmawati, Rima; Zani, Benny Novico; Maharjan, Kailie
Journal International of Lingua and Technology Vol. 2 No. 1 (2023)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v2i1.439

Today there are no more people who do not know about technological developments. Everything is very sophisticated and modern. In fact, it is very easy for someone to know something through technology-based media and fast in disseminating various information. All of this is of course thanks to increasingly advanced technology. As recently appeared an application called Chat GPT. GPT Chat is an application that can respond to every question asked by respondents. Chat GPT stands for "Chat-based Generative Pre-trained Transformer". GPT chat is also a language model developed by Open AI that uses the powerful transformers architecture to generate responsive and context-appropriate text conversations. GPT Chat has been widely used by all groups, especially in the world of education. GPT Chat can be used by students in learning Arabic in tertiary institutions such as to improve their skills in kalam and qiraah. The purpose of this study is to find out that the use of gamification in learning Arabic has an influence on students' qiraah skills and also makes it easier to complete assignments. The data collection technique is through the distribution of a questionnaire. In the questionnaire there are statements that will be answered by students in tertiary institutions. The results of this study explain that the use of Char GPT in learning Arabic in tertiary institutions gets a positive response from students such as increasing students' reading skills, increasing motivation in learning, increasing enthusiasm for learning, and making it easier to complete assignments. The conclusion of this research explains that the existence of GPT Chat provides enormous opportunities, especially in the process of learning Arabic because there are many benefits obtained from using GPT Chat. The limitation of this research is that researchers only conduct this research at the tertiary level which incidentally has the ability to think critically.

Early Detection of Developmental Disorders Through Machine Learning Algorithm Judijanto, Loso; Zou, Guijiao; Zani, Benny Novico; Efendi, Efendi; Jie, Lie
World Psychology Vol. 3 No. 3 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v3i3.710

Machine learning algorithms have the ability to analyze huge amounts of data and discover patterns that may not be visible to humans. Machine learning offers new hope for faster, more accurate, and cheaper screening for early detection of developmental disorders. This research was conducted with the aim of developing an effective and efficient machine learning algorithm for analyzing child development data. Apart from that, it is also to identify the most relevant features and indicators for the detection of early developmental disorders. The method used by researchers in researching the Detection of Developmental Disorders through Machine Learning Algorithms is to use a quantitative method. The data obtained by researchers was obtained from the results of distributing questionnaires. The distribution of questionnaires carried out by researchers was carried out online using Google From software. The results of data acquisition will also be tested again using the SPSS application. From the research results, it can be seen that this research is expected to produce a model that is not only accurate, but can also be implemented in the wider health system to provide maximum benefits for society. And can improve children's health by enabling faster detection and intervention. Ultimately, this may improve long-term outcomes for children with developmental disorders. From this study, researchers can conclude that with advances in information technology, machine learning-based applications can be accessed via mobile devices and online platforms, allowing initial screening to be carried out easily by parents and educators, even before consulting a medical professional. In recent years, machine learning (ML) technology has shown that it has enormous potential for application in various fields, including health and medical care.

The Impact of Virtual Reality Therapy in Managing Chronic Anxiety in Clinical Dipsychology Zani, Benny Novico; Xu, Shanshan; Priyono, Dedit; Xavier, Murphy; Ajani, Anggra Trisna
World Psychology Vol. 3 No. 3 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v3i3.713

Many people around the world experience chronic anxiety, which is a mental health problem. This condition is characterized by excessive and ongoing worry, often for no apparent reason, which can interfere with daily life. Virtual reality (VR) therapy is one of the innovative approaches to treating mental health conditions in recent years thanks to advances in technology. This research was conducted with the aim of finding out, such as the realism of the virtual environment, interactivity, and length of exposure, some of the elements of virtual therapy that are most helpful in reducing anxiety. In addition, to identify topics that require additional research to increase empirical evidence on the effects of virtual reality therapy, as well as encourage long-term research to evaluate the long-term impact of virtual reality therapy on chronic anxiety. The method used by researchers in researching the Impact of Virtual Reality Therapy in Managing Chronic Anxiety in Clinical Psychology is to use a quantitative method. The data obtained by researchers was obtained from the results of distributing questionnaires. The distribution of questionnaires carried out by researchers was carried out online using Google From software. The results of data acquisition will also be tested again using the SPSS application. From the research results, it can be seen that studies have shown quite positive results regarding virtual reality (VR) therapy in the treatment of chronic anxiety. It is used as part of exposure therapy, where a person is gradually exposed to anxiety-inducing stimuli in a safe and controlled virtual environment. It is excellent for treating phobias, post-traumatic stress disorder (PTSD), and other anxieties. From this study, researchers can conclude that virtual reality (VR) therapy can be an effective treatment for anxiety. A person receiving VR therapy has the opportunity to confront and manage anxiety triggers in a controlled and safe environment, which helps them develop resilience and coping skills.

The Relationship Between Social Media Dependency, Mental Health, and Academic Performance Among Adolescents in Indonesia Zani, Benny Novico; Said, Faridah Mohd; Nambiar, Nisha; Sholihat, Siti
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 10 No. 4 (2024): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL) : SPECIAL EDIT
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v10i4.699

Aims : the purpose of this study was to investigate the relationship between social media addiction, mental health, and academic performance among adolescents in Depok, Indonesia. Methods : A cross-sectional study was conducted in senior high school students in Depok, West Java, among teenagers aged 15-18 years. The Social Media Addiction Scale-Student Form (SMAS-SF) Questionnaire scale, the Depression Anxiety Stress Scale (DASS), and the Social Media and Academic Performance of Students (SMAAPOS) were the scales employed. Results : The mean age of the 200 adolescents in the intervention group was 16.37 (SD+2.55), with 60% being male. With an average score of 88.43 (SD=24.53), respondents demonstrated a moderate level of social media dependency. The respondents' mental health score dropped from 21.37.78 to 90.2137.24, and their academic performance was mediocre. Social media dependency (r=0.241) and sadness (r=0.405) were found to be substantially related to academic performance. Conclusions : correlation between social media addiction and mental health problems (r=0.334) was discovered. Supportive social environments and social networks, as well as improved emotional regulation and resilience in the face of stress and adversity, are central goals of interventions for the promotion and prevention of mental illness.

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