Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Cyberspace: Jurnal Pendidikan Teknologi Informasi MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation Darussalam Indonesian Journal of Nursing and Midwifery
Muhammad Kahfi Aulia
Unknown Affiliation
Computer Science & IT Dentistry Education Health Professions Medicine & Pharmacology Nursing Public Health Veterinary Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
IMPLEMENTATION OF GENERIC ROUTING ENCAPSULATION USING CISCO PACKTER TRACER Muhammad Kahfi Aulia; Djuniadi Djuniadi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 5, No 1 (2021)
Publisher : UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.484 KB) | DOI: 10.22373/cj.v5i1.8563

Abstract

Virtual Private Network (VPN) is a technology that offers low-cost remote access solutions for companies. The IPSec protocol provides cryptography services and network security for data transmission. Generic Routing Encapsulation (GRE) tunnel exists to encapsulate multicast and broadcast packets into unicast packets. This is very usable which IPSec does not support encryption of multicast and broadcast packets. The target of this simulation is that Router 1 shows that the network is protected by GRE. The first thing to do is set the network topology. Here, for example, there are two offices that want to transmit data to each other. Each of these offices has a switch, FTP server, DNS server, router, and PC. Then set the IP address of each device and connect it with cables. Router 2 and Router 3 function to connect the two offices in one WAN network. Each of these data transmissions is IPSec protected for data encryption protection then GRE coated for transmission encapsulation. From simulation results, we can conclude that both network can be connected and communicated each other with protection from GRE tunnel.
WEB-BASED MEDICAL EXPERT SYSTEM FOR DIAGNOSING KIDNEY DISEASES: THE SYSTEMATIC LITERATURE REVIEW Ghialti Novilia; Muhammad Kahfi Aulia; Eka Utaminingsih
MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation Vol. 5 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/medalion.v5i3.148

Abstract

The kidneys play a vital role in filtering toxins from the blood, producing hormones, and maintaining metabolic processes in the body. However, kidney diseases, including kidney stones, kidney infections, and kidney failure, are increasingly prevalent due to poor lifestyle choices. Expert systems, designed to simulate the decision-making capabilities of specialists, are gaining prominence in diagnosing various diseases, including kidney disorders. This study employs a Systematic Literature Review (SLR) methodology to analyze eight recent articles on web-based expert systems for kidney disease diagnosis. The review examines various expert system approaches, including Certainty Factor, Dempster Shafer, and Forward Chaining, and their effectiveness in diagnosing conditions like kidney stones, acute kidney failure, and chronic kidney disease. The results reveal that while these systems offer reliable diagnoses and are accessible across multiple platforms, there is a need for further research in expanding the range of diagnosable diseases and refining diagnostic criteria. Suggestions for future work include incorporating user-specific data, such as gender and lifestyle, and exploring alternative diagnostic approaches like fuzzy logic systems. This study contributes valuable insights into the development of more comprehensive and accessible web-based expert systems for kidney disease diagnosis, which could support healthcare practitioners and patients alike in the timely detection and management of kidney-related conditions.
Analisis Penggunaan Deskriptor Warna Dominan Dan Kolerogram Warna Untuk Temu Kembali Citra Penyakit Kulit Eka Utaminingsih; Muhammad Kahfi Aulia; Fitriani; Fauziah
Indonesia Vol 7 No 1 (2025): April
Publisher : STIKes Darussalam Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Temu kembali citra berbasis konten (Content-Based Image Retrieval/CBIR) merupakan pendekatan penting dalam sistem diagnosis otomatis, terutama dalam pengenalan dan klasifikasi citra penyakit kulit. Warna adalah fitur visual yang paling dominan dalam citra penyakit kulit, sehingga sangat relevan untuk digunakan dalam ekstraksi fitur. Penelitian ini menganalisis dan membandingkan efektivitas dua deskriptor warna, yaitu warna dominan dan kolerogram warna, dalam sistem CBIR untuk citra penyakit kulit. Dataset yang digunakan terdiri dari 500 citra penyakit kulit dari berbagai jenis seperti psoriasis, dermatitis, dan melanoma. Hasil evaluasi menunjukkan bahwa kombinasi kedua deskriptor meningkatkan akurasi temu kembali hingga 84,6%, dibandingkan penggunaan tunggal yang masing-masing hanya mencapai 75,2% (warna dominan) dan 79,3% (kolerogram warna).
Co-Authors Djuniadi Djuniadi Fauziah Fitriani Ghialti Novilia Utaminingsih, Eka