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This Author published in this journals
All Journal Ensiklopedia of Journal Jurnal Penelitian Rumpun Ilmu Teknik
Heru Rahmat Wibawa Putra
STIKes Dharma Landbouw Padang
Arts Humanities Computer Science & IT Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 2 Documents Claim Missing Document
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MODEL BIG DATA UNTUK OPTIMALISASI KOMUNIKASI PASIEN DALAM PROSES INFORMED CONSENT Hendra Nusa Putra; Muhammad Al Anshari; Al Fauzain Al Fauzain; Heru Rahmat Wibawa Putra
Ensiklopedia of Journal Vol 8, No 9 (2026): Vol. 8 No. 9 Juni 2026
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33559/eoj.v8i9.3873

Abstract

This study examines the application of Big Data models to optimize patient communication in the informed consent process within healthcare settings. Effective informed consent is a cornerstone of patient centered care, yet its implementation is frequently hampered by communication gaps, information overload, and insufficient personalization. This research proposes a Big Data-based framework that integrates structured and unstructured health data including electronic medical records (EMR), patient interaction logs, and demographic information to generate personalized communication strategies for informed consent. Using a mixed-methods approach combining Systematic Literature Review (SLR) and prototype system design, the study identifies key data variables influencing patient comprehension and consent quality. The proposed model leverages machine learning algorithms (Random Forest, NLP) to predict patient health literacy levels and tailor information delivery accordingly. Results from synthetic dataset simulations indicate that the Big Data framework can significantly improve patient understanding (84.6%), reduce consent-related errors by 41.7%, and enhance overall healthcare communication efficiency. The prototype system built on a Lambda Architecture with real-time personalization modules demonstrates high predictive accuracy (87.3%) and F1-score (86.8%). This study contributes to the intersection of health informatics and patient rights, offering a scalable, data-driven solution applicable across various hospital settings. Keywords: Big Data, informed consent, patient communication, electronic medical records, machine learning
Perancangan Aplikasi Dokumen Elektronik Terintegrasi dalam Pengelolaan Dokumen Klaim BPJS Kesehatan pada Era SEP Elektronik Heru Rahmat Wibawa Putra; Adri Yanto
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 1 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4756

Abstract

Digital transformation in the health sector drives the need for efficiency in document management, especially for BPJS Kesehatan claims. Manual processes often cause delays and the risk of losing documents. Therefore, this study aims to design an integrated electronic document application to overcome these problems. This study uses the SDLC Waterfall approach which includes the stages of gathering needs, design, implementation, testing, and maintenance. Data were collected through interviews, observations, and needs analysis at the Ibnu Sina Islamic Hospital, Payakumbuh. The designed application successfully integrates various BPJS Kesehatan claim documents, such as Individual Patient Sheets (LIP), Participant Eligibility Letters (SEP), and laboratory results, into one PDF format automatically. The designed system can help the digital transformation of hospitals and simplify the claim verification process. The integrated electronic document application improves the efficiency and accuracy of BPJS Kesehatan claim document management.
Co-Authors Adri Yanto Alfauzain, Alfauzain Hendra Nusa Putra Muhammad Al Anshari