Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal TEKNIK Jurnal Teknik Elektro Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
Vita Nurdinawati
Jurusan Teknik Elektro Fakultas Teknik Universitas Brawijaya
Humanities Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Medicine & Pharmacology

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Desain Manifold dengan Monitoring Tekanan untuk Pertukaran Otomatis Tabung Gas Oksigen Medis di Rumah Sakit Hendryani, Atika; Nurdinawati, Vita; Dharma, Nashrul
TEKNIK In Press
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v42i1.33127

Abstract

The regulation and supply of oxygen as one of the medical gases in the hospital is important to ensure the availability of these gases for the survival of patients. The regulation of oxygen gas in hospitals usually uses a piping system with manifolds. The manifold will monitor the oxygen gas pressure on each tube. Manifold systems that are widely used in general can only monitor pressure but cannot perform an automatic exchange on gas cylinders if the pressure is under the permissible conditions. The manifold system design developed is equipped with pressure monitoring for automatic exchange of oxygen gas cylinders using pressure sensors and microprocessors.  The test results of the system using regulator and barometer comparisons showed the percentage value of sensor pressure accuracy of 96.92 percent and 97.16 percent. At pressure below the limit of 285 KPa manifold can perform the exchange of active gas cylinders automatically. These results show the manifold design built can work quite well.
Segmentasi Citra Pembuluh Darah Retina Menggunakan Operasi Morfologi Iteratif Nurdinawati, Vita; Hendryani, Atika; Barasabha, Thareq
Jurnal Teknik Elektro Vol 13, No 1 (2021): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v13i1.29747

Abstract

Retinal vessel segmentation is part of the morphological extraction of retinal blood vessels that plays an essential role in medical image processing. Manual segmentation is possible to do, but it is time-consuming and requires special operators. Moreover, the possibility of variability between operators is vast. This study aims to answer the shortcomings of the manual segmentation process by automatically segmenting retinal blood vessels. The main contribution of this study is the use of a simple method to iteratively segment retinal blood vessels.  All processes in the segmentation are simulated using Matlab. The algorithm was evaluated by comparing the results of the automatic segmentation with 20 manually segmented images from the STARE dataset. The result show specificity 98.13%, accuracy 93.60%, sensitivity 56.42%, precision 80.48%, and the dice coefficient 64.06%. In conclusion, the automatic retinal blood vessel image segmentation process worked well.
Mobile-health for recording and monitoring nutritional status of toddler during COVID-19 pandemic era Hendryani, Atika; Nurdinawati, Vita; Susana, Ernia; Ma’murotun, Ma’murotun; Damayanti, Didit
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 7, No 1 (2022): February 2022
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v7i1.5786

Abstract

Indonesia has a large population in the world, and this is both an advantage and a challenge. The importance of recording and monitoring nutrition from the age of toddlers is a form of intervention to create a productive population. Integrated Healthcare Center or posyandu is community empowerment to monitor nutrition independently and sustainably. The pandemic caused by COVID-19 also affects the implementation of posyandu in Indonesia, one of which is in densely populated areas, namely Kelurahan Duri Selatan Jakarta Barat. This community service activity aims to apply mobile-health technology so that the nutrition monitoring activities of toddlers in posyandu continue to run during this pandemic. The technology used in this community service activity is a mobile-health application based on android, which is a form of application of technology from research. The method used is the provision of material online, then conducting assistance implementation practice. Evaluation of the results was achieved by applying pre-test and post-test to posyandu cadres and citizens. The evaluation results showed increased knowledge of posyandu cadres and residents after community service activities. This community service activity provides an alternative application of new technologies for community empowerment in improving nutritional status.
Implementation of Thermal Camera for Human Stress Detection: A Review Hendryani, Atika; Nurdinawati, Vita; Sambiono, Andy
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 2 (2023)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v1i2.28

Abstract

Stress has become a major problem that people face today. The high level of competition and environmental demands make people more susceptible to stress. Stress can interfere with a person's ability to work effectively. If left unchecked for a long time, stress can cause various dangerous diseases such as hypertension, heart problems, and others that can lead to death. Research has been conducted for a long time to detect stress. Various technologies have been used to detect and anticipate stress that occurs in humans. One promising technology for detecting stress is the use of thermal cameras. Thermal cameras have several advantages: being non-contact and non-invasive, quick, easy to use, and cost-effective. In general, the architecture of the stress detection system using a thermal camera consists of several stages, including image acquisition, pre-processing, ROI tracking and selection, feature extraction, and statistical analysis or classification. This paper aims to review the use of thermal cameras in detecting stress in humans. This paper also seeks to answer the research question of what analysis can be done to improve stress detection accuracy using thermal camera images. Research shows that ROI selection must be carefully considered to obtain good accuracy. Combining thermal images with other data can improve accuracy in stress detection. Machine learning in classification provides many benefits in recognizing patterns but is highly influenced by the number of datasets used.
Co-Authors Atika Hendryani Barasabha, Thareq Dharma, Nashrul Didit Damayanti Ma’murotun, Ma’murotun Sambiono, Andy Susana, Ernia