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INDONESIA
SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT
Published by Universitas Harapan Bangsa Purwokerto
ISSN : 28092767     EISSN : -     DOI : https://doi.org/10.35960/snppkm.v0i0
Core Subject : Economy, Health, Science, Social,
Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Nursing
Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM) Universitas Harapan Bangsa merupakan kumpulan artikel dari hasil kegiatan Penelitian dan Pengabdian kepada Masyarakat yang diikutsertakan pada kegiatan Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM). Kegiatan ini rutin dilaksanakan satu kali dalam satu tahun yang diselenggarakan oleh LPPM Universitas Harapan Bangsa dalam rangka menyebarluaskan hasil penelitian dan pengabdian kepada Masyarakat.
Arjuna Subject : Umum - Umum
Articles 433 Documents
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Penyusunan Laporan Pajak Untuk Yayasan Pantau Usaha Indonesia (BWI) Nurmansyah, Agung; Kristianto, Giovanny Bangun; Istiningrum, Farida
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1420

Abstract

The issue of illegal parking in Banyumas Regency has caused negative impacts such as traffic congestion, road user inconvenience, and disruption of traffic order. To support enforcement efforts, a technology-based solution capable of real-time monitoring is required. This community service activity aims to introduce and discuss an illegal parking monitoring system based on Computer Vision in collaboration with the Department of Transportation and regional parking coordinators in Banyumas. The implementation method includes system concept presentations, technology demonstrations, and discussion forums to gather input related to technical needs and field policy considerations. The results of the activity indicate interest from the Department of Transportation and parking coordinators in utilizing this technology, particularly in supporting the effectiveness of supervision and the enforcement of parking regulations. This activity is expected to serve as an initial step toward collaboration between academia and local government in applying smart technology to improve order, safety, and convenience in Banyumas Regency.
Scoping Review Kecerdasan Artifisial Dalam Optimasi Dosis dan Pemantauan Keamanan Obat Antidiabetik Meilani, Reina; Purwono, Purwono
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1423

Abstract

The use of artificial intelligence in diabetes therapy for dose optimization and safety monitoring of antidiabetic drugs has increased substantially over the past decade. This scoping review was conducted to map the types of AI models applied, to evaluate their impact on glycemic control, and to analyze their contribution to strengthening pharmacovigilance systems. Approaches including machine learning, deep learning, and reinforcement learning have been implemented to model nonlinear dose–response relationships and to identify plateau effects. Adaptive dosing recommendations have been generated using clinical data and continuous glucose monitoring inputs. Improvements in time in range and reductions in HbA1c levels have been reported in comparison with conventional therapeutic approaches. In drug safety monitoring, detection and analysis of adverse drug reactions have been enhanced through the application of natural language processing, Bayesian modeling, and generative AI. Data extraction from electronic health records and individual case safety reports has been performed more efficiently and systematically. Causality assessment processes have been accelerated, leading to improved efficiency in risk evaluation. AI integration in diabetes management has also been implemented through closed-loop systems, real-time glucose prediction, and identification of patients at risk of inappropriate dosing.Several methodological and regulatory challenges remain, including data bias, limited external validation, and concerns regarding algorithmic transparency. The need for real-world validation and strengthened ethical and governance frameworks has been identified to ensure safe and accountable clinical implementation
Perkembangan Teleanestesi dan Pemantauan Jarak Jauh dalam Praktik Keperawatan Anestesi: Sebuah Kajian Literatur Aryadi, M.; Wijayanti, Indri
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1424

Abstract

Teleanestesi dan pemantauan jarak jauh merupakan inovasi penting dalam praktik keperawatan anestesi yang berkontribusi terhadap peningkatan akses layanan, efisiensi, dan keselamatan pasien, termasuk di wilayah terpencil. Perkembangan kecerdasan buatan, perangkat wearable, dan sistem komunikasi digital telah mempercepat integrasi teknologi ini dalam pelayanan perioperatif. Kajian ini bertujuan memetakan perkembangan teleanestesi dan pemantauan jarak jauh dalam praktik keperawatan anestesi, dengan menyoroti aspek teknologi, aplikasi klinis, manfaat, serta tantangan implementasi. Pendekatan scoping review digunakan dengan penelusuran literatur pada database Scopus. Seleksi artikel dilakukan berdasarkan kriteria inklusi dan eksklusi yang telah ditetapkan. Sebanyak 13 artikel terpilih dianalisis secara tematik untuk mengidentifikasi pola temuan utama. Hasil menunjukkan bahwa teleanestesi meningkatkan akses layanan, mendukung efisiensi biaya, serta memperkuat keselamatan pasien melalui pemantauan real-time dan deteksi dini komplikasi. Integrasi kecerdasan buatan meningkatkan akurasi pengambilan keputusan klinis. Tantangan yang diidentifikasi meliputi keamanan data, keandalan perangkat, interoperabilitas sistem, dan kebutuhan pelatihan berkelanjutan bagi perawat anestesi. Implementasi yang optimal memerlukan standarisasi protokol, penguatan kompetensi profesional, dan kolaborasi multidisiplin. Penelitian lanjutan diperlukan untuk mengevaluasi luaran klinis jangka panjang dan efektivitas biaya.

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All Issue Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025) Vol 3 No 1 (2023): Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 20 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2023) 2022: Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2022) 2021: Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2021)