Article Per Year (5 Year)
p-Index From 2021 - 2026
0.947
P-Index
This Author published in this journals
All Journal Cyberspace: Jurnal Pendidikan Teknologi Informasi International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation Darussalam Indonesian Journal of Nursing and Midwifery
Muhammad Kahfi Aulia
Unknown Affiliation
Humanities Computer Science & IT Dentistry Education Energy Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 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).
COMMUNITY EMPOWERMENT IN IMPLEMENTING THE PERMATA POMAA STUNTING HANDLING MODEL BASED ON DIGITAL EDUCATION AND GITOK Husna Maulida; Eka Utaminigsih; Ismuhadi; Eka Sutrisna; Fitri Hijri Khana; Muhammad Kahfi Aulia
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 5 No. 3 (2025): November 2025 - February 2026
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19465818

Abstract

Program Pemberdayaan Masyarakat dalam Implementasi Model Penanganan Stunting Permata Pomaa berbasis Pendidikan Digital dan Pengembangan GITOK (Teknologi Hidroponik Gizi) dilaksanakan di Desa Simpang Lhee, Kecamatan Langsa Barat, dengan mitra sasaran yang terlibat dalam kegiatan ini adalah mitra sasaran kelompok masyarakat Non-Produktif, yaitu kader Posyandu dan mitra sasaran kelompok masyarakat Produktif, yaitu UMKM Awaina. Desa ini tercatat memiliki 341 keluarga berisiko stunting yang disebabkan oleh rendahnya pemahaman masyarakat tentang gizi, kebiasaan memberikan makanan rendah gizi seperti mi instan dan minyak goreng bekas, serta faktor ekonomi yang membatasi akses terhadap makanan sehat. Pola makan anak yang tidak teratur dan kebiasaan membiarkan anak kesulitan makan tanpa solusi telah memperburuk situasi ini, serta lemahnya perekonomian masyarakat di desa tersebut, sehingga Desa Simpang Lhee, Kecamatan Langsa Barat juga termasuk dalam daerah dengan garis kemiskinan ekstrem. UMKM Awaina telah terlibat dalam produksi pasta udang dan ikan asin. Namun, sejauh ini produksi UMKM Awaina masih sangat terbatas dan pemasarannya hanya di wilayah lokal Kota Langsa. Sebagai solusinya, program ini menghadirkan pendekatan teknologi dan pemberdayaan untuk Manajemen Stunting PERMATA POMAA berbasis Pendidikan Digital melalui pengembangan aplikasi pendidikan digital PERMATA POMAA & GITOK. Aplikasi ini memberikan informasi mengenai Menu Makanan Pendamping untuk anak, cara mengatur pola makan, pijat bayi dan pijat Tuina untuk meningkatkan nafsu makan. Selain itu, program ini juga mendorong penggunaan kebun rumah sebagai kebun nutrisi berbasis hidroponik untuk menyediakan bahan makanan sehat yang terjangkau dan mandiri. Pelaksanaan program meliputi tahapan sosialisasi, pelatihan, aplikasi teknologi, pendampingan, dan evaluasi berkala.
COMMUNITY EMPOWERMENT IN IMPLEMENTING THE PERMATA POMAA STUNTING HANDLING MODEL BASED ON DIGITAL EDUCATION AND GITOK Husna Maulida; Eka Utaminigsih; Ismuhadi; Eka Sutrisna; Fitri Hijri Khana; Rizky Mauliza; Muhammad Kahfi Aulia
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 5 No. 3 (2025): November 2025 - February 2026
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19449710

Abstract

The Community Empowerment Program in the Implementation of the Permata Pomaa Stunting Handling Model based on Digital Education and the Development of GITOK (Hydroponic Technology Nutrition) was carried out in Simpang Lhee Village, West Langsa District, where the target partners involved in this activity were the target partners of the Non-Productive community group, namely Posyandu cadres and the target partners of the Productive community group, namely the Awaina UMKM This village was recorded as having 341 families at risk of stunting caused by the community's low understanding of nutrition, the habit of giving low-nutrition foods such as instant noodles and used cooking oil, and economic factors that limit access to healthy food. Irregular children's eating patterns and the habit of letting children have difficulty eating without solutions have worsened this situation, as well as the weak economy of the community in the village, where Simpang Lhee Village, West Langsa District is also included in the area with the extreme poverty line. Awaina UMKM has been involved in the production of shrimp paste, salted fish. However, so far the production produced by Awaina UMKM is very limited and its marketing is only in the local area of Langsa City. As a solution, this program presents a technological and empowering approach to Stunting Management PERMATA POMAA based on Digital Education through the development of the PERMATA POMAA & GITOK digital education application. This application provides information regarding the Supplementary Food Menu for children, how to regulate diets, baby massage and Tuina massage to increase appetite. In addition, the program also encourages the use of home gardens as hydroponic-based nutritional gardens to provide affordable and independent healthy food ingredients. The program implementation includes stages of socialization, training, technology application, mentoring, and periodic evaluation.
Co-Authors Djuniadi Djuniadi Eka Sutrisna Eka Utaminigsih Fauziah Fitri Hijri Khana Fitriani Ghialti Novilia Husna Maulida Ismuhadi Rizky Mauliza Utaminingsih, Eka