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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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Journal : World Psychology

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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.
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