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All Journal Jurnal Kedokteran Gigi Universitas Padjadjaran Martabe : Jurnal Pengabdian Kepada Masyarakat B-Dent, Jurnal Kedokteran Gigi Universitas Baiturrahmah Padjadjaran Journal of Dental Researchers and Students Andalas Dental Journal Advance Sustainable Science, Engineering and Technology (ASSET) YARSI Medical and Dental Science (YASMINE)
Chaerita Maulani
Universitas YARSI
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Dentistry Education Electrical & Electronics Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Social Sciences

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PELAKSANAAN PREVENTIF KESEHATAN GIGI MELALUI APLIKASI TOPIKAL FLUOR PADA GIGI SANTRI DI PESANTREN NURUL IMAN, PARUNG, BOGOR Agus Ardinansyah; Moch Atmaji; Chaerita Maulani; Nur HN Prastiyani; Fathimah A. Attamimi; Bambang S. Trenggono
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 9, No 6 (2026): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v9i6.%p

Abstract

Karies gigi masih menjadi masalah kesehatan umum pada anak usia sekolah di Indonesia akibat rendahnya kesadaran dan perilaku menjaga kebersihan mulut. Fakultas Kedokteran Gigi Universitas YARSI melaksanakan kegiatan pengabdian masyarakat di Pesantren Nurul Iman, Parung, Kabupaten Bogor, dengan tujuan meningkatkan pengetahuan dan kebiasaan siswa dalam menjaga kesehatan gigi melalui edukasi dan aplikasi topikal fluor. Sebanyak 100 siswa kelas 4–6 mengikuti kegiatan yang meliputi penyuluhan interaktif, praktik sikat gigi bersama, aplikasi topikal fluor, serta evaluasi melalui pre-test dan post-test. Hasil menunjukkan peningkatan signifikan pada tingkat pengetahuan peserta, dari rata-rata skor 52% menjadi 85% setelah intervensi. Kegiatan ini terbukti efektif dalam meningkatkan kesadaran dan keterampilan menjaga kebersihan gigi, sekaligus memperkuat kolaborasi antara sivitas akademika, guru, dan orang tua dalam mendukung kesehatan gigi santri.
Reinforcement Learning for Personalised Critical Care Treatment using Scalable Parallel Computing Chandra Prasetyo Utomo; Kohei Ichikawa; Nashuha Insani; Kundjanasith Thonglek; Kang Xingyuan; Chaerita Maulani; Ummi Azizah Rachmawati
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2080

Abstract

Sepsis is one of the leading causes of death in intensive care units. Many patients do not receive timely or effective treatment, which lowers their chances of survival. We developed a reinforcement learning–based framework to provide personalised treatment recommendations for sepsis patients. The model creates simple patient representations from treatment responses, groups patients with similar patterns, and learns the best treatment policy for each group. To reduce long training time, we use parallel and distributed computing. Using the MIMIC-III database and off-policy evaluation with weighted importance sampling, our method achieves a policy value of 79.933, higher than the clinician policy (47.654) and a general AI policy (57.658). A higher policy value indicates a lower mortality risk. These results show that our method can support faster, more accurate, and more effective treatment decisions in the ICU.
Co-Authors Agus Ardinansyah Bambang S. Trenggono Chandra Prasetyo Utomo Chrisni Oktavia Jusuf Dede Arsista Dewi Nurul Mustaqimah Elan Suherlan Fathimah A. Attamimi Fawzan Ramadhan Helwiah Umniyati Helwiyah Umniyati Herwanda Dwi Ivo Resky Primigo Jihan Ar Rohim Kang Xingyuan Kohei Ichikawa Kundjanasith Thonglek Lia Amalia Moch Atmaji Nashuha Insani Nugroho Ahmad Riyadi Nur HN Prastiyani Riski Putri Noviani Satya Aprianto, Dharma Sekar Decita Shabrina Ghisani Marzuki Sinta Primanita Amanah Sri Puji Utami Atmoko Suhaeri Thahirah Syafitri Ummi Azizah Rachmawati