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All Journal Khidmah: Jurnal Pengabdian Kepada Masyarakat Journal Health Applied Science And Technology (JHAST)
Arif Fadillah
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Environmental Science Health Professions Immunology & microbiology Nursing Public Health

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Edukasi Dengan Menggunakan Video Animasi Tentang Pertolongan Pertama Keracunan Makanan Apriyani, Apriyani; Arif Fadillah
Khidmah Vol 6 No 2 (2024): Khidmah
Publisher : IKesT Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52523/khidmah.v6i2.514

Abstract

Keracunan pada anak merupakan salah satu kegawatdaruratan pada praktik pediatri. Anak sangat berisiko mengalami keracunan karena perilaku mereka yang selalu ingin tahu dan suka bereksplorasi, sering memasukkan tangan ke dalam mulut dan semua yang dipegang. Pangan jajanan anak sekolah umumnya dikenal dengan makanan cepat saji yang ditemui di lingkungan sekolah dan secara rutin konsumsi oleh sebagian besar anak sekolah. Penanganan keracunan merupakan salah satu pengobatan gawat darurat kalau tidak segera di tangani secara cepat dan tepat oleh masyarakat di sekitar korban akan menimbulkan kesakitan maupun kematian. Tujuan dari pengabdian masyarakat adalah untuk meningkatkan pengatahuan masyarakat dalam melakukan pertolongan pertama keracunan makanan. Kegiatan pengabmas ini dilakukan dengan menggunakan metode ceramah, diskusi dan tanya jawab. Kegiatan pengabdian masyarakat ini telah dilaksanakan pada tanggal 25 Mei 2024 SDN 71 Kota Palembang dengan jumlah 30 orang. Sebelum dan sesudah klien diberikan kuesioner untuk mengukur pengetahuan tentang materi tersebut. Hasil kegiatan ini menunjukkan bahwa terjadi peningkatan pengetahuan peserta terkait pertolongan pertama keracunan makanan. Kesimpulan dari pengabdian masyarakata adalah bertambahnya pengetahuan siswa SD tentang pentingnya pertolongan pertama keracunan makanan.
Implementasi Sistem Absensi Otomatis Smart Attendance Berbasis Kecerdasan Buatan dengan Deteksi Wajah Menggunakan YOLOv11 di Universitas Muhammadiyah Ahmad Dahlan Palembang Arif Fadillah; Ilhamdani Saputra
jurnal kesehatan terapan sains dan teknologi Vol 4 No 1 (2026): Journal Health Applied Science And Technology (JHAST)
Publisher : IKesT Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52523/jhast.v4i1.101

Abstract

The development of artificial intelligence technology has made significant contributions in various fields, including education. One problem still frequently encountered in higher education is the manual student attendance system. This manual process often creates various obstacles, such as the potential for fraud in the form of absenteeism, delays in recording, and the risk of administrative errors. This condition shows the urgency of providing a more modern, effective, and accurate attendance system through the use of AI-based technology. Using the YOLOv11 algorithm, known for its ability to detect objects quickly and with high precision, this research is directed at designing a Smart Attendance system based on facial detection that can improve the quality of academic services at Muhammadiyah Ahmad Dahlan University, Palembang. The purpose of this research is to develop and implement an automatic attendance system based on facial detection with the YOLOv11 algorithm integrated with the campus academic database. This system is expected to be able to recognize student faces in real-time, record attendance automatically, and present data that can be accessed by lecturers and administration in a transparent manner. Furthermore, this research aims to improve the efficiency of academic processes, reduce attendance fraud, and encourage the adoption of AI technology in higher education environments. Conclusion: Thus, the implementation of this AI-based attendance system not only improves operational efficiency but also encourages digital transformation in higher education environments. Going forward, this system can be further developed with improved features and scalability for wider adoption across various educational institutions.
Co-Authors Apriyani Apriyani Ilhamdani Saputra