Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Muhammadiyah Journal of Nutrition and Food Science (MJNF)
Pramesti, Arindha Reni
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Nursing Public Health

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
From Imaging Data to Cranioplasty Implant Designs Asmaria, Talitha; Zain, Andi Justike Mahatmala; Pramesti, Arindha Reni; Marzuki, Azwien Niezam Hawalie; Utomo, Muhammad Satrio
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 3 (2023): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeemi.v5i3.300

Abstract

The cranioplasty procedure is starting from removal the skull bone defects and replacing them with any biocompatible material, such as polymer, ceramic, or titanium alloy. The complication of the surgery as well as the high cost from several material selection required a simulation. Besides that, the case of cranial defects sometimes required a customized design. The presence of three-dimensional (3D) printing technology would be a promising tool to improve the success rate. Prior to 3D printing, the model needs to be corrected from the initial patient’s imaging data to the intended implant design. However, previous related literatures were almost not informing the specific image processing steps to gain the models, while not all operators could understand this sophisticated technique. The study aims to design an implant bone for cranioplasty purpose. The data were processed through the very clear step-by-step image processing stages, three-dimensional (3D) printing, and its evaluation through biomechanical simulation. Quantitatively, the designed cranioplasty implant could deal with the load in the actual application. Qualitatively, the prototypes have matched if applied to the host of cranium bone. In conclusion, although image processing and refinements are the most complicated process, the whole explanation indicate that the provided precise methodology could be a major reference to the similar procedure.
Body Mass Index and Waist Circumferences Related to Uric Acid Level among Adults Pramesti, Arindha Reni; Kusumaningati, Walliyana
Muhammadiyah Journal of Nutrition and Food Science (MJNF) Vol 1, No 1 (2020): Muhammadiyah Journal of Nutrition and Food Science (MJNF)
Publisher : Faculty of Medicine and Health Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.044 KB) | DOI: 10.24853/mjnf.1.1.31-34

Abstract

Background: the changes in metabolism in the body can trigger the increase of uric acid levels which can lead to a precursor of hyperuricemia and gout disease that can result extreme pain in the joint. Based on the study, it has known that uric acid levels can be caused by obesity, protein intake, lifestyle, and others. The anthropometric method which usually used to measured obesity are body mass index (BMI) and waist circumference (WC). Currently, the most commonly used ratio in this way is the Body Mass Index (BMI). Result: in a Canadian study among 151 adults, it was reported that there was a higher correlation between the area of abdominal visceral fat and WC compared with the correlation with the waist-hip circumference ratio. WC is also more strongly associated with total body fat, measured by densitometry, than by waist-to-hip circumference ratio. High levels of leptin in obese people can cause uric acid disruption through urine, so that uric acid levels in the blood of obese people become high. BMI also shows a positive relationship with leptin concentration, which is a trigger factor to increased uric acid levels. American adults also shown that uricemia related to their BMI value. Conclusion: BMI is one of the indicators of obesity, while obesity often thought to influence the incidence of gout by increasing uric acid levels in the blood. WC also closely related potentially to atherogenic metabolic disorders associated with abdominal obesity that to waist-to-hip circumference ratios.
Co-Authors Asmaria, Talitha Kusumaningati, Walliyana Marzuki, Azwien Niezam Hawalie Utomo, Muhammad Satrio Zain, Andi Justike Mahatmala