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All Journal Media Jurnal Informatika Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Irfan Dwiguna
Universitas Komputer Indonesia
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering

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Optimalisasi Manajemen Data Prostetik : Tinjauan Sistematis Integrasi Robotic Process Automation Agus Sevtiana; Irawan Afrianto; Irfan Dwiguna; Estiko Rijanto
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.271

Abstract

Kompleksitas administrasi dalam rehabilitasi prostetik sering kali menghambat efisiensi klinis dan presisi data. Penelitian ini bertujuan efektivitas penerapan Robotic Process Automation (RPA) serta integrasi Intelligent Automation berbasis AI dalam tata kelola data pasien prostetik. Melalui metode Systematic Literature Review (SLR) yang mematuhi protokol PRISMA 2020, studi ini menyaring literatur dari basis data Scopus (2020–2025) menggunakan kerangka PICO. Sintesis terhadap 36 studi primer mengungkap bahwa penerapan RPA mampu memangkas durasi tugas administratif hingga 66,67 % dan mereduksi tingkat kesalahan entri data sebesar 90%. Lebih jauh lagi, kolaborasi teknologi OCR dan Machine Learning terbukti meningkatkan akurasi pembacaan bentuk tulisan tangan medis hingga mendekati 100%. Pembahasan menguraikan peta konsep di mana RPA mentransformasi layanan kesehatan dengan mengotomatiskan tugas berulang, sehingga memungkinkan profesional medis fokus pada interaksi pasien. Studi menyimpulkan bahwa RPA bertransformasi dari sekadar alat efisiensi biaya menjadi instrumen penting untuk menjamin kualitas klinis. Keberhasilan jangka panjang menuntut adanya tata kelola digital yang ketat guna memitigasi masalah privasi dan kompatibilitas sistem lama.
The Navigating the Data Labyrinth: A Bibliometrix of Data Governance Challenges in Implementing Digital Twins for Disaster Management in Developing Countries Andi Agus Salim; Hasbu Naim Syaddad; Luki Ishwara; Irawan; Estiko; Irfan Dwiguna
Media Jurnal Informatika Vol 18 No 1 (2026): Media Jurnal Informatika
Publisher : Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v18i1.6295

Abstract

Indonesia faces significant disaster risks due to its location in the Ring of Fire, necessitating advanced mitigation technologies like Digital Twins (DT). However, the effectiveness of DT relies heavily on real-time data integration, which is often hindered by governance issues rather than technological capability. This study aims to identify specific data governance challenges in adopting DT for the public sector specifically in disaster management and proposes a conceptual framework suitable for developing countries, using Indonesia as the primary representative case. A Bibliometric analysis was conducted using the PRISMA protocol. Data was collected from Scopus (n=107) and Google Scholar/PoP, covering the period 2018–2026, focusing on the intersection of Digital Twin, Disaster Management, and Data Governance. Additionally, a qualitative case study approach was employed, utilizing Indonesia as the primary representation of developing countries to validate the proposed framework. The study identifies three key challenge dimensions: (1) Organizational (data silos and ownership ambiguity), (2) Technical (semantic interoperability and legacy systems), and (3) Legal-Ethical (data privacy and sovereignty). The paper proposes the "Integrated Disaster Data Governance for Digital Twin (IDDG-DT)" framework, which aligns with the Satu Data Indonesia policy, emphasizing that robust data governance is a prerequisite for successful Digital Twin implementation.
Co-Authors Agus Sevtiana Andi Agus Salim Estiko Estiko Rijanto Irawan Irawan Afrianto Luki Ishwara Syaddad, Hasbu Naim