Fahmi Arnes
Universitas Binaniaga Indonesia

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Implementasi Sistem Rekam Medis Pasien untuk kemudahan Laporan Riwayat Medis pada Yayasan Bagja Waluya Muhamad Miftahudin; Adiat Pariddudin; Anggra Triawan; Fahmi Arnes; FR Dwi Febriantoro
KIAT: Kajian Ilmiah Pengabdian Masyarakat Vol. 1 No. 1 (2025): January
Publisher : LP3M Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/kiat.v1i1.15

Abstract

This community service activity aims to improve the competence of lecturers and students in applying their knowledge in the field of information technology taught in lectures and daily teaching. One of the real implementations carried out is building an Electronic Medical Record (EMR) system in recording the medical status of patients at the Bagja Waluya Foundation. The main problem faced by partners is in recording the assessment of patients who are being treated still using paper. Where recording is done when the patient is first admitted as an inpatient until the fifth day, or commonly referred to as the patient observation stage. Then for the next recording is only done for certain cases. When needed for the next assessment, officers often have difficulty in searching for previous medical record data. Therefore, this electronic medical record system is expected to be a solution to the above problems. The target output of this activity is an application that can help medical officers in recording patient medical records so that it makes it easier for officers to search for patient data, in addition, data stored electronically has a longer retention period so that it will be easy to use for any number of years. In addition, the output of this activity is the formation of reports and journals of community service. The method of implementing the service includes System needs analysis, system design, system development, socialization and training to foundation officers and implementation. The several processes carried out in the Analysis, socialization, training and implementation stages require a relatively long time because it requires adjustment and habituation from officers and users
Pengenalan Teknologi Deep Learning sebagai Bekal Keterampilan Masa Depan bagi Siswa SMK Muhamad Miftahudin; F. R Dwi Febriantoro; Fahmi Arnes
KIAT: Kajian Ilmiah Pengabdian Masyarakat Vol. 2 No. 2 (2026): July
Publisher : LP3M Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/kiat.v2i2.39

Abstract

Perkembangan pesat Artificial Intelligence (AI), khususnya Generative AI berbasis Large Language Model (LLM) seperti ChatGPT, telah mengubah cara siswa mengakses informasi dan menyelesaikan tugas belajar. Kemajuan ini ditopang oleh Deep Learning, sub-bidang Machine Learning yang menggunakan Jaringan Saraf Tiruan berlapis untuk mengenali pola kompleks, dan menjadi dasar berbagai teknologi yang digunakan siswa sehari-hari, seperti Face ID, fotografi komputasional, hingga rekomendasi konten media sosial. AI menawarkan manfaat sebagai tutor pribadi dan akselerator produktivitas, namun penggunaannya tanpa pemahaman yang tepat berisiko menimbulkan atrofi kognitif, plagiarisme gaya baru, dan ketergantungan pada informasi keliru akibat halusinasi AI. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan meningkatkan pemahaman siswa SMK Kosgoro VC mengenai konsep dasar AI, hubungan Machine Learning, Deep Learning, dan Generative AI, penerapannya sehari-hari, serta risiko penggunaannya secara akademik. Metode pelaksanaan meliputi pemaparan interaktif, diskusi kelompok dengan studi kasus, dan simulasi penggunaan AI yang bijak. Kegiatan ini diharapkan menumbuhkan kemampuan berpikir kritis siswa dalam memverifikasi hasil AI, memahami perbedaan augmentasi dan substitusi, serta mempersiapkan diri sebagai tenaga kerja yang AI-proof melalui penguatan soft skills dan literasi AI.