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PENERAPAN PENCATATAN AKUNTANSI PADA UMKM WARUNG MADURA AR-RAHMAN Bernardus Sinurat; Djamaliyah; Alfi Manzilatur Rohmah; Mochamad Reza Adiyanto
Jurnal Media Akademik (JMA) Vol. 2 No. 6 (2024): JURNAL MEDIA AKADEMIK Edisi Juni
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/v2i6.522

Abstract

Menurut Kementerian Koperasi dan UKM, ada 65,4 juta UMKM di Indonesia dengan unit usaha sampai 65,4 juta dan kapasitas untuk menampung 123,3 ribu orang pada tahun 2019. Ini membuktikan bahwa UMKM memiliki peran dan partisipasi yang signifikan dalam mengurangi angka pengangguran di Indonesia. Penelitian ini mengambil objek UMKM Warung Madura Ar. Rahman di Desa Telang yang berjualan sembako, makanan ringan, bensin dan pulsa. Tujuan dari penelitian ini adalah untuk memahami bagaimana akuntansi digunakan pada usaha kecil dan menengah (UMKM) serta pendapat orang tentang betapa pentingnya akuntansi untuk kegiatan usaha. Menurut tujuan penelitian, metode wawancara atau survei digunakan. Hasil penelitian menunjukkan bahwa UMKM Warung Madura Ar. Rahman hanya menggunakan akuntansi sederhana, mencatat pendapatan dan laba bersih dalam satu hari. Tidak ada pencatatan akuntansi yang terstruktur karena beberapa masalah, seperti kurangnya pengetahuan dan wawasan tentang pencatatan akuntansi dan keterbatasan waktu pelaku UMKM.
The Impact of Artificial Intelligence Adoption on Job Satisfaction and Productivity of Healthcare Workers in Hospitals Anshori, Mochammad Isa; Akbar, Ari; Djamaliyah; Aisyah
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 6 (2025): JIMKES Edisi November 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i6.4321

Abstract

The integration of artificial intelligence in healthcare is transforming hospital operations, particularly in enhancing employee satisfaction and productivity. While AI offers opportunities to reduce administrative burden, foster teamwork, and improve patient care, it also introduces challenges related to technology adaptation and employee concerns about automation. This study aims to investigate how artificial intelligence adoption influences hospital staff’s job satisfaction and productivity, linking its application not only to efficiency but also to employee engagement and service outcomes. This research employs a qualitative methodology using a case study approach. Data were collected through semi-structured interviews, observation, surveys, and document analysis to capture healthcare workers’ perceptions of artificial intelligence in daily work and its influence on work-life balance. Findings reveal that artificial intelligence enhances job satisfaction by simplifying documentation, supporting skill development, improving decision-making, and creating opportunities for innovation. Productivity improvements include faster clinical decisions, better time management, effective human-technology collaboration, and higher-quality patient care. artificial intelligence adoption contributes significantly to operational success in hospitals by fostering innovation, supporting staff development, and balancing technological advancement with human needs, provided continuous training and transparent communication are ensured.