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All Journal Sains Olahraga : Jurnal Ilmiah Ilmu Keolahragaan Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Universitas Sriwijaya Majalah Kedokteran Sriwijaya HIGIENE: Jurnal Kesehatan Lingkungan Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan Prosiding Seminar Nasional Riset Kuantitatif Terapan 2017 Indonesian Journal of Obstetrics and Gynecology (Majalah Obstetri dan Ginekologi Indonesia) Indonesian Journal for Health Sciences (IJHS) Jurnal Kesehatan Islam : Islamic Health Journal SRIWIJAYA JOURNAL OF MEDICINE Seminar Nasional Keperawatan Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Bioscientia Medicina : Journal of Biomedicine and Translational Research Darmabakti Cendekia: Journal of Community Service and Engagements PREPOTIF : Jurnal Kesehatan Masyarakat Jurnal Medika Hutama Journal of Anaesthesia and Pain Jurnal Pengabdian Masyarakat: Humanity and Medicine Jurnal Jeumpa Bioscientia Medicina : Journal of Biomedicine and Translational Research Lontara Abdimas : Jurnal Pengabdian kepada Masyarakat Muria Jurnal Layanan Masyarakat Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Indonesian Community Journal Jurnal Yoga Dan Kesehatan Eastasouth Journal of Impactive Community Services Journal of Health Management and Pharmacy Exploration (JOHMPE) Plexus Medical Journal ASSYIFA: Jurnal Ilmu Kesehatan Jurnal Pengabdian Negeri Abdi Ilmiah Untuk Masyarakat
Arwan Bin Laeto
Universitas Sriwijaya
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THE RELATIONSHIP BETWEEN SLEEP QUALITY AND COMPUTER VISION SYNDROME IN ADOLESCENT DURING COVID-19 PANDEMIC Laeto, Arwan Bin; Nurwany, Raissa; Lubis, Dhiyan Handi Asyhari
Indonesian Journal of Health Science Vol 8 No 2 (2024): September
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/ijhs.v8i2.7745

Abstract

Computer Vision Syndrome (CVS) is a group of eye and vision problems caused by long-term use of visual electronics. Since the COVID-19 pandemic, the use of digital devices has increased, resulting in increased ease of exposure to CVS which is feared to disrupt sleep quality. This study aimed to determine the relationship between sleep quality and CVS among adolescents during the COVID-19 pandemic. This research is an observational analytic study with a cross-sectional design using primary data. Data were taken through a questionnaire with a sample of 96 adolescents who met the inclusion and exclusion criteria. Data analysis was carried out with the Chi-Square test. In this study, the results showed that the quality of sleep in adolescents had a prevalence of 59,4% as well as the prevalence of adolescents diagnosed with CVS by 56,3%. There is a statistically significant relationship between sleep quality and CVS with a p-value of 0,001. There is a high prevalence of poor sleep quality and CVS among adolescents. CVS is significantly related to sleep quality.  The implication of this result is that can impact academic performance and exacerbate the symptoms of CVS, such as eye strain, blurred vision and headaches
Edukasi Penggunaan Teknologi Kecerdasan Buatan (Artificial Intelligence) Secara Bijak Dalam Pembelajaran Pada Mahasiswa Kedokteran Laeto, Arwan Bin
Abdi Ilmiah untuk Masyarakat Vol. 1 No. 1 (2025): ABHIMA
Publisher : Lia Center of Research and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64850/abhima.v1i1.74

Abstract

Perkembangan teknologi kecerdasan buatan diakui masih memiliki potensi dampak negatif bagi masyarakat, khususnya dalam pembelajaran mahasiswa kedokteran. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan dan wawasan mahasiswa tentang konsep, peran dan strategi pemanfaatan teknologi kecerdasan buatan dalam pembelajaran di kedokteran. Metode yang digunakan dalam pengabdian ini adalah penyuluhan dengan teknik edukasi. Kegiatan berlangsung selama dua hari di Fakultas Kedokteran Universitas Sriwijaya KM6 Palembang. Peserta kegiatan adalah mahasiswa baru Program Studi Pendidikan Dokter Angkatan 2025 berjumlah 248 orang. Tahapan kegiatan meliputi persiapan, pretest, penyampaian materi edukasi, posttest dan evaluasi. Hasil pengabdian menunjukkan jumlah mahasiswa yang memperoleh nilai sangat baik mencapai 31,71% dan nilai baik sebanyak 51,22% dari total mahasiswa. Selama edukasi mahasiswa juga menunjukkan sikap antusias melalui sejumlah pertanyaan yang diajukan mahasiswa kepada narasumber terkait konsep, peran dan strategi pemanfaatan teknologi kecerdasan buatan secara bijaksana dalam pembelajaran. Kesimpulannya, kegiatan ini berhasil meningkatkan pengetahuan dan wawasan mahasiswa terhadap pemanfaatan teknologi kecerdasan buatan secara bijaksana. Sebagai saran, kegiatan ini dapat dilakukan di fakultas lain dan dilanjutkan dengan simulasi penggunaan teknologi kecerdasan buatan secara bijak.
Co-Authors -, Legiran Adinda Adinda Adinda Adnindya, Msy Rulan Agustine, Vania Akhyar Dyni Zakyah Ardelia Bianda Arneldi, Devina Firya Yasmin Arsyad, Muhammad Aryadi Ayeshah A Rosdah Ayla Fenezza Ferizon Budi Santoso Budi Santoso Budi Santoso Diba, Masayu Farah Dwi Budi Santoso Eka Febri Zulissetiana Eka Febri Zulissetiana Fahmil Ikhsan Taharu Fitrisyah, Aidyl Hansur, Lismayana Hasbi, Alfian Haslinda DS Inggarsih, Rara Irfannuddin Irfannuddin Islamia, Medina Putri Joko Marwoto Khairunnisa, Athira Kusrini Kusrini La Jumadin Layal, Kamalia Legiran Legiran Lubis, Dhiyan Handi Asyhari Lusia Hayati Masayu Farah Diba Masayu Farah Diba Masayu Farah Diba Masayu Farah Diba Masayu Farah Diba Masayu Farah Diba Nadhira Tsurayya Ramadhani Natsir, Rosdiana Nurmasita, Nurmasita Nurwahida Nurwahida Nurwany, Raissa Nyimas Fatimah Purnamasari, Septi Putri, Sarahdeaz Siti Fazzaura Raden Mohamad Herdian Bhakti Rara Inggarsih Rara Inggarsih Rara Inggarsih Riana Sari Puspita Rasyid Rosdiana Natsir Sakriawati, Sakriawati Samritin Septi Purnamasari Septi Purnamasari Septi Purnamasari Setiawan, Alfredo Abrian Erlangga Siti Sarahdeaz Fazzaura Putri Susilawati Susilawati Susilawati, Susilawati Swanny Syifa Alkaf Syifa Alkaf Thalia Aisyah Zahrani William, Jessica Audrey Zainal, Rizal