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All Journal INFORMAL: Informatics Journal ILKOMNIKA: Journal of Computer Science and Applied Informatics Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan
Putra, Muhammad Ifantara
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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Analisis Perbandingan Metode Interior Gateway Protocol RIP Dengan OSPF Pada Jaringan MPLS-VPLS Yanuar Nurdiansyah; Nail Pratama; Muhammad Ifantara Putra; Muhammad Ali Sya’roni
INFORMAL: Informatics Journal Vol 5 No 2 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i2.18668

Abstract

Routing is a process for forwarding network packets from one network such as static routing and dynamic routing. This research will evaluate and implement protocols in dynamic routing such as RIP (Routing Information Protocol) and OSPF (Open Short Path First). What will later be simulated with GNS3, from this study will be obtained results For traceroute, OSPF is about 7% faster than RIP time, while for ping, OSPF is 5.9% faster than RIP and for traceroute in the topology the average result of the average traceroute time is 2.58 for RIP and 2.23 for OSPF.
Sistem Deteksi Dini Pneumonia Balita Berdasarkan Rekam Medis Menggunakan Algoritma C4.5 Melinda, Tashya Eka; Roziqin, Mochammad Choirur; Vestine, Veronika; Putra, Muhammad Ifantara
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 3 (2025): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i3.5369

Abstract

The detection of pneumonia cases in children under five at Jabung Public Health Center has not reached the targeted rate. From 2019 to 2022, the number of identified cases remained below the expected target of 4.45%. This study aimed to design and develop an early detection system for childhood pneumonia based on medical records using the C4.5 algorithm. The research applied the waterfall development method and utilised data collection techniques including interviews and document analysis. The subjects were program officers for childhood pneumonia and medical record staff, while the objects were medical records of children diagnosed with pneumonia and acute respiratory infections (ARI). System development involved several stages, starting with data preprocessing, including data cleaning, selection, reduction, and transformation. Data mining was conducted using the C4.5 algorithm with the help of RapidMiner software. The result was an early detection system tailored to the needs of Jabung Public Health Center. The system achieved an accuracy rate of 97.50% based on the confusion matrix. This system was expected to assist health workers in identifying pneumonia cases in children more effectively, thereby improving disease monitoring and early treatment efforts at the community healthcare level.
Emerging Technologies for Secure and Privacy-Preserving Electronic Medical Records: A Systematic Review Putra, Muhammad Ifantara; Roziqin, Mochammad Choirur; Alfiansyah, Gamasiano
ILKOMNIKA Vol 7 No 3 (2025): Volume 7, Number 3, December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i3.803

Abstract

The rapid digitalization of healthcare has led to widespread adoption of Electronic Medical Records (EMR), driving improvements in data management, clinical efficiency, and patient-centered care. However, this transformation also presents critical challenges related to data security, privacy protection, and intelligent data utilization. This study conducts a Systematic Literature Review (SLR) of 30 peer-reviewed journal articles published between 2022 and 2025, focusing on three key research domains: EMR systems, smart data processing, and blockchain-based security. The review identifies that EMR serves as the foundation for healthcare data standardization and interoperability, while smart data processing—through artificial intelligence and machine learning—enables predictive analytics and clinical decision support. Concurrently, blockchain technology strengthens data integrity, transparency, and access control in distributed medical environments. Despite these advances, persistent challenges remain, including scalability limitations, interoperability gaps, and ethical concerns in data governance. The study concludes that integrating blockchain with intelligent data processing represents a promising path toward developing secure, interoperable, and intelligent EMR systems capable of supporting the next generation of digital healthcare.
Design and Development of An Electronic Medical Record System For Maternal and Child Health and Dental Clinics at Camar Mandiri Primary Clinic, Jember Mochammad Choirur Roziqin; Aylivia Fudya Ningrum; Bakhtiyar Hadi Prakoso; Indah Muflihatin; Gamasiano Alfiansyah; Muhammad Ifantara Putra
Jurnal Infokes Vol 16 No 1 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/mr756b06

Abstract

Camar Mandiri Primary Clinic, particularly the Maternal and Child Health (MCH) and Dental outpatient units, has not yet implemented an Electronic Medical Record (EMR) system; consequently, patient registration and data recording are still performed manually. This condition is not in line with the Indonesian Ministry of Health Regulation No. 24 of 2022. This study aims to design and develop a web-based outpatient EMR system to improve service efficiency in the MCH and Dental clinics at Camar Mandiri Primary Clinic. This study employed a Research and Development (R&D) approach. Data were collected through observations and interviews involving two medical records staff, one dentist, one midwife, one pharmacist, and the clinic head. The system was developed using the waterfall method, which includes system flowcharts, context diagrams, Data Flow Diagrams (DFD), and Entity Relationship Diagrams (ERD). Data were collected through observation and interviews. The result is a web-based outpatient EMR system for the MCH and Dental clinics at Camar Mandiri Primary Clinic. Black-box testing results demonstrate that the system aligns with user needs, is user-friendly, and adequately supports clinical examination and reporting functions. Future development is recommended by adding more comprehensive and complex features, particularly modules related to pharmacy services and cashier management
Co-Authors Alfiansyah, Gamasiano Aylivia Fudya Ningrum Bakhtiyar Hadi Prakoso Gamasiano Alfiansyah Indah Muflihatin Melinda, Tashya Eka Mochammad Choirur Roziqin Muhammad Ali Sya’roni Nail Pratama Roziqin, Mochammad Choirur Vestine, Veronika Yanuar Nurdiansyah, Yanuar