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All Journal INFORMAL: Informatics Journal ILKOMNIKA: Journal of Computer Science and Applied Informatics J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan SEJAGAT : Jurnal Pengabdian Masyarakat
Putra, Muhammad Ifantara
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Health Professions Public Health Other

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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.
Pemberdayaan TEFA Inovasi Kesehatan (V-Kes) melalui Pelatihan Rekam Medis Elektronik bagi Tenaga Kesehatan di Kabupaten Jember Putra, Dony Setiawan Hendyca; Mochammad Choirur Roziqin; Sabran; Tegar Wahyu Yudha Pratama; Ihwan Huda Al Mujib; Assyifa Itsnainia Mustika; Muhammad Ifantara Putra; Anggi Maulidya; Moh Lutfi Rizalul Hakim
SEJAGAT : Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2025): Desember
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/sejagat.v2i3.6731

Abstract

The uneven understanding and skills of health workers in the use of Electronic Medical Records (EMR) at the primary care level, especially in the Jember Regency, is a fundamental problem that hinders the acceleration of digital transformation in the health sector. This condition is further complicated by the mandatory implementation of EMR in accordance with Ministry of Health regulations, which also covers independent health worker practices, which are not yet fully understood and optimally responded to in the field. Additionally, access to practical and applicable EMR training remains limited, while the role of the Teaching Factory for Health Innovation (V-KES) as a digital health training center has not been fully utilized. The lack of post-training assistance has contributed to difficulties in implementing RME in daily practice, compounded by a low level of understanding of the urgency of transitioning from manual to digital systems, which affects the mental and technical readiness of health workers. Therefore, the solutions offered include 1) Conducting RME training based on hands-on practice, 2) Provision of modules or pocket books, dissemination of regulations in infographic or short video formats, 3) Utilization of the V-KES Teaching Factory as a simulation training center with Ministry of Health standard software, involvement of academic facilitators and health IT practitioners, as well as continuous online and offline assistance. This program will also be accompanied by strengthening the V-KES curriculum and promoting a digital mindset shift to support the full readiness of independent healthcare practitioners in implementing a nationally integrated RME system.
Co-Authors Alfiansyah, Gamasiano Anggi Maulidya Assyifa Itsnainia Mustika Ihwan Huda Al Mujib Melinda, Tashya Eka Mochammad Choirur Roziqin Moh Lutfi Rizalul Hakim Muhammad Ali Sya’roni Nail Pratama Putra, Dony Setiawan Hendyca Roziqin, Mochammad Choirur Sabran tegar wahyu yudha pratama Vestine, Veronika Yanuar Nurdiansyah, Yanuar