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p-Index From 2021 - 2026
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All Journal The Journal General Health and Pharmaceutical Sciences Research Journal of Law, Economics, and Engineering
Rosyid Al-Hakim
Universitas Harapan Bangsa
Economics, Econometrics & Finance Engineering Health Professions Law, Crime, Criminology & Criminal Justice Nursing Other

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Fenomena Brain Rot di Kalangan Anak Muda: Refleksi Penggunaan Teknologi dan Revitalisasi Peran Kepemudaan Rosyid Al-Hakim; Rian Ardianto; Riska Suryani; Hadi Jayusman
Journal of Law, Economics, and Engineering Vol. 1 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

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Abstract

Fenomena brain rot semakin sering muncul di kalangan anak muda sebagai bentuk penurunan fokus, motivasi, dan daya pikir akibat konsumsi berlebihan terhadap konten digital yang dangkal dan cepat. Era media sosial yang serba instan menciptakan kebiasaan doom scrolling, short attention span, dan kecenderungan menghindari aktivitas produktif yang membutuhkan konsentrasi mendalam. Tulisan ini bertujuan mengulas penyebab utama brain rot dari perspektif penggunaan teknologi serta menawarkan pendekatan keseimbangan melalui partisipasi dalam kegiatan kepemudaan. Kajian ini menggunakan metode literatur naratif yang mengombinasikan temuan ilmiah mengenai digital fatigue dan cognitive overload dengan observasi fenomenologis pada pola perilaku generasi muda. Hasil telaah menunjukkan bahwa brain rot bukan sekadar akibat teknologi, tetapi juga refleksi kurangnya kontrol diri dan orientasi terhadap makna kegiatan digital. Revitalisasi peran kepemudaan melalui aktivitas sosial, edukatif, dan kreatif dapat menjadi bentuk terapi sosial yang efektif untuk memulihkan fokus dan kualitas diri anak muda di era digital.
Enhancing Paediatric Diabetes Management: How Artificial Intelligence is Revolutionising Care Reina Melani; Galih Samodra; Rosyid Al-Hakim
The Journal General Health and Pharmaceutical Sciences Research Vol. 2 No. 2 (2024): June : The Journal General Health and Pharmaceutical Sciences Research
Publisher : LPPM STIKES KESETIAKAWANAN SOSIAL INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57213/tjghpsr.v2i2.378

Abstract

Artificial intelligence (AI) is transforming paediatric diabetes management, offering innovative solutions for monitoring, treatment, and prediction. This mini-review explores how AI is being utilised to improve the care of children with diabetes mellitus, focusing on its application in glucose monitoring systems, predictive algorithms, and personalised treatment plans. The study synthesises recent advancements in AI technologies, examining their impact on enhancing the accuracy of diagnosis, reducing the burden on healthcare providers, and improving patient outcomes. Through a systematic review of the literature, key AI tools and models that have shown promise in paediatric diabetes care are identified. The findings highlight the potential of AI to revolutionise diabetes management, with implications for both clinical practice and future research. However, challenges remain in ensuring the ethical implementation and integration of these technologies into existing healthcare systems. The paper concludes with recommendations for advancing AI applications in this field, emphasising the need for continued innovation and collaboration between healthcare professionals and AI developers.
Co-Authors Galih Samodra Hadi Jayusman Reina Melani Rian Ardianto Riska Suryani