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All Journal International Journal of Public Health Science (IJPHS) Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Journal International of Lingua and Technology World Psychology Rechtsnormen Journal of Law Journal of World Future Medicine, Health and Nursing Research of Scientia Naturalis
Zani, Benny Novico
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Agriculture, Biological Sciences & Forestry Chemistry Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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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

Abstract

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

Abstract

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

Abstract

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.
International Environmental Law and Climate Change Mitigation Efforts Dewi, Kemmala; Harmono, Harmono; Wei, Sun; Yang, Liu; Zani, Benny Novico
Rechtsnormen: Journal of Law Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i1.2070

Abstract

Background: Climate change is one of the most pressing global challenges, with significant consequences for ecosystems, economies, and human societies. International environmental law plays a critical role in shaping global efforts to mitigate climate change by establishing legal frameworks for cooperation and action. However, the effectiveness of international environmental law in addressing climate change remains a subject of debate, particularly concerning the implementation of mitigation strategies at the national and global levels. Objective: This study aims to analyze the role of international environmental law in climate change mitigation efforts, with a focus on the key legal instruments and agreements that shape global climate governance. The research seeks to evaluate the effectiveness of these legal frameworks in reducing greenhouse gas emissions and promoting sustainable environmental practices. Method: A qualitative research design was employed, using case studies, legal analysis, and interviews with environmental law experts, policymakers, and practitioners. The study examined major international agreements such as the Paris Agreement and the Kyoto Protocol to assess their impact on climate change mitigation efforts. Results: The findings indicate that while international environmental law has contributed to raising awareness and setting targets for climate change mitigation, the implementation of these efforts remains uneven, with many countries struggling to meet their commitments due to domestic challenges. Conclusion: The study concludes that international environmental law has been instrumental in global climate change efforts, but enhanced implementation mechanisms and greater international cooperation are necessary to achieve meaningful progress.
Facing the Impact of Climate Change on Global Health: Science and Technology Based Adaptation Demir, Ahmet; Erdogan, Aylin; Musdania, Musdania; Zani, Benny Novico
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1906

Abstract

Climate change poses a significant threat to global health, exacerbating existing health challenges and creating new risks. Rising temperatures, extreme weather events, and shifting disease patterns are already contributing to the increasing burden of diseases such as malaria, heatstroke, and respiratory disorders. This research explores the role of science and technology in adapting to the health impacts of climate change, focusing on innovative solutions to mitigate the health risks associated with environmental changes. The study employs a systematic review approach, analyzing data from 50 peer-reviewed studies that examine technological advancements, such as climate-resilient healthcare infrastructure, early warning systems, and the development of heat-resistant crops. The results indicate that technology-based adaptation strategies can significantly reduce the impact of climate change on public health by improving disease forecasting, enhancing healthcare system resilience, and supporting preventive measures. The study concludes that multi-disciplinary approaches involving science, technology, and policy-making are crucial to address the health challenges posed by climate change. Collaboration across sectors is needed to implement these strategies on a global scale, ensuring equitable access to climate-related health solutions. This research underscores the importance of continued investment in climate-resilient health systems to safeguard global health in the face of climate change.
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

Abstract

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.
Al-Augmented Spectroscopy for Early Detection of Cervical Cancer Biomarkers Zani, Benny Novico; Rith, Vicheka; Dara, Ravi
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2387

Abstract

Cervical cancer remains a leading cause of mortality among women worldwide, primarily due to challenges in early and accurate detection. Conventional screening methods like Pap smears are subject to human error and have moderate sensitivity. This study aimed to develop and validate a novel, non-invasive diagnostic platform combining Raman spectroscopy with artificial intelligence (AI) for the rapid and highly accurate detection of early-stage cervical cancer biomarkers. The objective was to create a system that could overcome the limitations of current screening techniques. We collected cervical cell samples from clinically diagnosed healthy, pre-cancerous (CIN I-III), and cancerous patients. Raman spectroscopy was used to acquire high-resolution biochemical fingerprints from these samples. A custom-developed convolutional neural network (CNN) was then trained on the spectral data to learn and identify subtle biomarker-associated patterns indicative of neoplastic transformation. The AI-augmented system achieved a diagnostic accuracy of 96.5%, with a sensitivity of 98% and a specificity of 95% in differentiating high-grade lesions and cancerous samples from healthy ones. The model successfully identified key spectral shifts related to nucleic acid and protein conformational changes, correlating them with disease progression.
Co-Authors Ajani, Anggra Trisna Andarmoyo, Sulistyo Arnes Yuli Vandika Dadang Muhammad Hasyim Dara, Ravi Demir, Ahmet DinaMarthaFitri1 ErnyElviany2 Dito Anurogo, Dito Efendi Efendi Erdogan, Aylin Harmono, Harmono Hendra Nusa Putra Ibrahim, Siti Misaroh Intes, Amina Irine Christiany, Irine Jie, Lie Joshua, Wang Judijanto, Loso Kemmala Dewi Khrisna Agung Cendekiawan Lelepary, Heppy Leunard Liu Yang Maharjan, Kailie Muntasir, Muntasir Musdania Musiana, Musiana Nambiar, Nisha Panduragan, Santhna Lechmi Priyono, Dedit Rasmita, Dina Rima Rachmawati Rina Juwita Rith, Vicheka Said, Faridah Mohd Setyorini, Dhiana Sholihat, Siti solihat, siti Sun Wei Syarifuddin, Surya Xavier, Murphy Xu, Shanshan Zou, Guijiao