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Virtual Reality Design of Patient Registration for Medical Record Students: Perancangan Virtual Reality Pendaftaran Pasien Untuk Mahasiswa Rekam Medis Nugroho, Dwi; Farhan, Ishlah Maulana; Fikriansyah, Roihan Rudi; Hastuti, Febriana; Aisy, Hana Rihadatul; Pradipta, Dimas Andrenawan
Procedia of Engineering and Life Science Vol. 7 (2025): Prosiding Seminar Nasional dan Rakernas PORMIKI X
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.2110

Abstract

The use of Virtual Reality (VR) technology in higher education can enhance students’ understanding and practical skills, for patient registration training for Medical Records and Health Information students. This study aims to design and develop Virtual Reality software to improve the efficiency and convenience of the learning process. Using a qualitative research approach with Action Research and purposive sampling techniques, involving 4 students and 1 lecturer, the software development utilized Blender for 3D design and Unity for interactive development, resulting in a realistic and immersive patient registration experience. Integration with Self-Registration Kiosks (APM) and physical facilities such as chairs and air conditioning increased registration efficiency. The results indicate that Virtual Reality is effective in enhancing students’ understanding and skills, although there are challenges such as high costs and significant technical support requirements, necessitating continuous efforts to optimize the use of Virtual Reality in education.
Google Data Studio Untuk Monitoring Gizi Buruk Balita di Puskesmas Tasikmalaya Nugroho, Dwi; Oktavian, Deva; Pradipta, Dimas Andrenawan
Jurnal Promotif Preventif Vol 7 No 4 (2024): Agustus 2024: JURNAL PROMOTIF PREVENTIF
Publisher : Fakultas Kesehatan Masyarakat Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jpp.v7i4.1457

Abstract

Pengelolaan data yang efisien sangat penting untuk mengidentifikasi tren dan merespons masalah kesehatan dengan cepat. Penelitian ini bertujuan untuk mengevaluasi efektivitas Google Data Studio dalam memanfaatkan data terbuka dari Open Data Tasikmalaya untuk pemantauan dan analisis kasus gizi buruk. Metode penelitian melibatkan integrasi data gizi buruk dari Open Data Tasikmalaya ke dalam Google Data Studio, diikuti dengan pembuatan dashboard interaktif untuk visualisasi data. Hasil menunjukkan bahwa penggunaan Google Data Studio mempermudah pemantauan kasus gizi buruk secara real-time, mempercepat analisis, dan memfasilitasi pengambilan keputusan yang lebih tepat. Dashboard yang dihasilkan memungkinkan visualisasi tren kesehatan yang jelas dan menyediakan informasi yang dapat diakses oleh berbagai pemangku kepentingan secara efisien. Kesimpulan dari penelitian ini adalah bahwa Google Data Studio, melalui kemampuannya dalam mengolah dan menyajikan data secara interaktif, efektif dalam meningkatkan pengelolaan dan analisis data gizi buruk.
Klakson: Innovation in the Development of a Barber Johnson Charting Calculator Based on an Early Warning System (EWS) Ningsih, Kori Puspita; Purbobinuko, Zakharias Kurnia; Pradipta, Dimas Andrenawan; Farhan, Ishlah Maulana; Rohmah, Kuny Lutfiyatur
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1960

Abstract

Data on bed management in Indonesia is currently managed in an integrated manner by the Ministry of Health through the Integrated Referral System (SISRUTE) on the Satu Sehat website. Hospital bed management data can be presented in the Barber-Johnson Graph. The Barber Johnsons graph is a good tool. It makes it easier for managers to monitor the efficiency of bed use, because TOI (Turn Over Interval), LOS (Length Of Stay), BTO (Bed Turn Over), and BOR (Bed Occupation Rate) are presented in one graph. The problem currently faced by society is that the management of beds in healthcare facilities is not yet efficient and is still done manually. In some hospitals, they still describe the Barber-Johnson Chart in Microsoft Excel. Therefore, innovation is needed to develop the Barber-Johnson Graph Calculator application Johnson is based on an Early Warning System (EWS) called Klakson. The existence of efficient bed management will demonstrate quality service. This is certainly expected to impact improving public health in Indonesia. This research uses action research, with a qualitative data collection approach. Data analysis uses content analysis. The results of need identification show that hospitals, health centers, and clinics that provide inpatient care need a Klakson application based on the Early Warning System (EWS) in the form of notifications and sound to support early decisions. The results of the feasibility study show that users are accustomed to using computers, software, and hardware available to support the development of web-based information systems. Information system development using prototype methodology. The prototype test results using the Blackbock method show that the function/reaction is according to the actor, the system works well and can meet user needs. The development of the web-based Klakson application using prototype methodology stages has been tested in DIY clinics and shows that the system can meet user needs.