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All Journal NURSING UPDATE JURNAL ILMIAH ILMU KEPERAWATAN Prosiding SeNTIK STI&K
Robieth Sohiburoyyan
Politeknik Negeri Indramayu
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health

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Pengaruh Terapi Tertawa terhadap Tingkat Kemarahan pada Pasien Perilaku Kekerasan di Wilayah Kerja Puskesmas Dukuhturi Kabupaten Tegal Evi Supriatun; Alfiyah Nur Baeti; Nafisah Itsna Hasni; Robieth Sohiburoyyan
NURSING UPDATE : Jurnal Ilmiah Ilmu Keperawatan P-ISSN : 2085-5931 e-ISSN : 2623-2871 Vol 13 No 4 (2022): DESEMBER
Publisher : NHM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36089/nu.v13i4.864

Abstract

The research was conducted to implement laughter therapy to reduce anger levels in patients with violent behavior disorders. Methodology: This was a descriptive analytical study with a case study approach. The subjects were people with mental disorders. Data obtained through interviews, observation, and physical examination. Those were presented in the form of a narrative text and a frequency distribution table. Result: The levels of anger before being given laughter therapy in patient 1 and 2 were 20 and 22. After the therapy for 3 days the score in patient 1 decreased by 7 while patient 2 became 7 in the low category. Recommendation: Patients with violent behavior should be given laughter therapy to reduce the anger.
KLASIFIKASI INHIBITOR SARS-COV-2 MENGGUNAKAN GEOMETRIC DEEP LEARNING Salamet Nur Himawan; Robieth Sohiburoyyan; Iryanto
Prosiding Seminar SeNTIK Vol. 7 No. 1 (2023): Prosiding SeNTIK 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

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Abstract

SARS-CoV-2 merupakan virus penyebab wabah Covid-19. Saat ini virus tersebut masih berkembang dan memiliki jenis-jenis baru. Pada proses penyebaran dan pengendalian wabah Covid-19 dibauat antivirus yang dapat mencegah perkembangan virus. Penemuan antivirus tidak terlepas dari penemuan senyawa yang dapat menghambat perkembangan virus atau inhibitor. Geometric Deep Learning digunakan untuk klasifikasi senyawa kimia yang berpotensi menjadi inhibitor. Data latih merupakan data senyawa kimia yang berpotensi sebagai inhibitor berdasarkan FDA-Approve Drug Library. Hasil latih model Geometric Deep Learning ditunjukan dengan loss dan akurasi. Loss terbaik mencapai 0.781 dan akurasi terbaik mencapai 0.553. Hasil menunjukkan model bepotensi dalam klasifikasi inhibitor Covid-19. Model dapat dioptimalisasi dengan menambah data latih yang ada
Co-Authors Alfiyah Nur Baeti Iryanto NAFISAH ITSNA HASNI Salamet Nur Himawan Supriatun, Evi