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Analysis of the Effectiveness of Patient Flow Management in Improving Service Speed Hermawan, Randy; Umi Narinawati; Bobi Kurniawan
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 3 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i3.5557

Abstract

Speed of service is a vital indicator of the quality of health services, but the imbalance between surge in patient visits and facility capacity often leads to bottlenecks and long wait times. This study aims to analyze the effectiveness of the implementation of Patient Flow Management in improving service speed and operational efficiency in health facilities. The study used a quantitative descriptive approach through field observation (time and motion study), operational data measurement, and satisfaction survey at a private hospital during the period from July to September 2025. The results showed a significant impact post-implementation, where the average total waiting time was reduced by 41.5%, the doctor's workload ratio became more balanced from 1:38 to 1:26, and there was an increase in patient satisfaction scores by 30%. This efficiency is achieved through an effective strategy of digitizing the queue system and redistributing triage loads. In conclusion, Patient Flow Management has proven to be effective as an operational solution to unravel service density, but its success relies heavily on the integration of information systems and management support in adapting staff work cultures.
Konseptualisasi Ethno-Prompting: Strategi Humanisasi Layanan Kesehatan Digital Berbasis Kearifan Lokal Sunda Zaenudin, Aditya Rifandi; Narinawati, Umi; Kurniawan, Bobi
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 3 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i3.5559

Abstract

Latar belakang: Perkembangan layanan kesehatan digital berbasis kecerdasan buatan (Artificial Intelligence/AI) menghadirkan efisiensi dan aksesibilitas yang tinggi, namun di sisi lain menimbulkan tantangan berupa berkurangnya aspek humanisasi dan sensitivitas budaya dalam interaksi antara sistem dan pengguna. Di Indonesia, khususnya pada masyarakat Sunda yang menjunjung tinggi nilai kesantunan, empati, dan harmoni sosial, pendekatan layanan kesehatan digital yang bersifat generik berpotensi menimbulkan jarak psikologis serta menurunkan kepercayaan pengguna. Tujuan: Artikel ini bertujuan untuk mengembangkan konseptualisasi ethno-prompting sebagai strategi humanisasi layanan kesehatan digital berbasis kearifan lokal Sunda. Metode: Metode yang digunakan adalah pendekatan konseptual-deskriptif melalui kajian literatur interdisipliner yang mencakup etnografi Sunda, human-centered AI, komunikasi kesehatan, dan desain interaksi digital. Hasil: Hasil kajian menunjukkan bahwa ethno-prompting dapat dipahami sebagai teknik perancangan prompt AI yang mengintegrasikan nilai-nilai lokal Sunda seperti someah, silih asah, silih asih, dan silih asuh ke dalam struktur bahasa, gaya komunikasi, dan logika respons sistem digital. Pendekatan ini berpotensi meningkatkan rasa kedekatan emosional, kepercayaan, serta penerimaan masyarakat terhadap layanan kesehatan digital. Kesimpulan: Artikel ini berkontribusi pada pengembangan model konseptual layanan kesehatan digital yang lebih inklusif, kontekstual, dan berorientasi pada nilai budaya lokal.
Algorithmic Decision Making in Management: A Philosophical Inquiry from an Islamic Ethical Perspective Koswara, Asep; Umi Narimawati; Bobi Kurniawan
Journal of Islamic Civilization Vol 7 No 2 (2025): Journal of Islamic Civilization
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/jic.v7i2.8471

Abstract

The rapid diffusion of algorithmic decision making in management has reshaped how organizations evaluate employees, allocate resources, and exercise managerial authority. While such systems promise efficiency and objectivity, growing evidence shows that they also generate serious epistemological, ethical, and governance challenges. This paper aims to critically examine algorithmic decision making in management from an Islamic ethical and philosophical perspective, focusing on its epistemological, ontological, and axiological implications. Using a qualitative and conceptual research design, the study applies interpretive and normative analysis to major theories in management, artificial intelligence ethics, and Islamic moral philosophy. The results indicate that algorithmic decision making is built on epistemic assumptions that overstate objectivity, ontological ambiguities that risk displacing human moral agency, and axiological limitations that undermine justice, accountability, and human dignity. Drawing on Islamic ethical principles, particularly maqāṣid al-sharīʿah, justice (ʿadl), and trust (amanah), the study proposes a normative framework that re-centers human responsibility and ethical governance in the use of algorithmic systems. In conclusion, algorithmic decision making should be treated as a decision-support mechanism rather than an autonomous authority, and its legitimacy in management depends on its alignment with Islamic ethical values and the preservation of human moral agency.