Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Nugraha, Priyambada Cahya
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Health Professions Materials Science & Nanotechnology Nursing Other

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

Found 4 Documents
Search

 1 
Using Android Technology for Early Detection of Stunting in Toddlers in Krembangan Selatan Ridha Makruf, Muhammad; Pudji, Andjar; Nugraha, Priyambada Cahya; Wisana, I Dewa Gede Hari
Frontiers in Community Service and Empowerment Vol. 4 No. 3 (2025): September
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i3.116

Abstract

Stunting is a long-term health problem that mainly impacts the growth and development of young children, particularly in residential areas like Kelurahan Krembangan Selatan, Surabaya. A significant obstacle in preventing stunting is finding a practical way to assess children's nutritional status. This community study aims to raise awareness and educate people about the use of Android-based tools for monitoring body mass index (BMI) and basal metabolic rate (BMR) as innovative methods for detecting stunting risk. The device, tested on 16 infants, enables users to submit detailed data to a web platform for further analysis. Findings reveal that this tool simplifies processes, accelerates data handling, and provides quicker access to up-to-date information, thereby reducing the burden of manual tasks. Results also show that most infants have healthy growth, although some individuals may need more time to understand the benefits. In general, this web-based solution greatly improves the precision and speed of stunting detection and could be widely adopted in areas with limited healthcare infrastructure. However, the study is limited by its small sample size and limited assessment of result length. Future research should focus on a broader population and integrating this tool into larger healthcare systems. This innovation facilitates timely and accurate monitoring of young children's health. The hope is that it will become part of regular posyandu services to help strengthen the stunting prevention program across the Puskesmas Krembangan Selatan area.
Development of a Low-Cost and Efficient ECG devices with IIR Digital Filter Design Wisana, I Dewa Gede Hari; Nugraha, Priyambada Cahya; Rachman, Rizki Aulia
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 1 (2021): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i1.194

Abstract

Measurement of biosignals such as electrocardiograph has the interpretation of noise from other signals. The noise can interfere with the measurement of the heart signal and make the measurement inaccurate, so the purpose of this study is to make a 6-Lead Electrocardiogram module with an Arduino-Based Digital Filter. By using a digital filter. The contribution of this research is the use of digital filters to eliminate noise in electrocardiograph signals. This research uses Infinite Impulse Filter digital filters such as Butterworth, Chebyshev I, Chebyshev II, and Elliptic in order 2, 4, 6, 8, and 10. The study was conducted by providing input from the Function Generator on Arduino which has been applied digital filters with Frequency with 0.5Hz – 100Hz cut-off. The instrument is compared with a factory electrocardiograph. Filter measurements using 460 input data. Butterworth filter with the greatest emphasis on order 8 frequency 0.5Hz produces an emphasis of -5.74298158 dB and a frequency of 100Hz produces an emphasis of -5.93529424 dB. The Chebyshev I filter has the greatest emphasis on order 6 frequency 0.5Hz producing an emphasis of -3.27104076 dB and on order 8 frequency 100Hz producing an emphasis of -5.08730424 dB. Chebyshev II filter the biggest emphasis on the order of frequency 0.5Hz produces a suppression of -44,66011104 dB and 80Hz frequency produces a suppression of -37,3653957 dB. Elliptic filters the greatest emphasis on order 6 frequency 0.5Hz produces an emphasis on -1.55429354 dB and 100Hz frequency on order 8 produces an emphasis on -2.2849115 dB. The results of this study can be implemented on a 6-Lead ECG module to eliminate noise or interference when tapping ECG signals.
Snellen Chart Based On Android Control Fitria, Annisa Novantina Eka; Nugraha, Priyambada Cahya; Lamidi, Lamidi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 1 (2019): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i1.239

Abstract

Eye vision is a person's visual acuity examination that is usually done using a Snellen chart. The Snellen chart is a poster that contains a number of letters that are different on each line with the letters getting closer to the bottom lines. Eye vision examination using a normal Snellen chart is done at a distance of 6 meters because someone is considered normal if he is able to read on the 20/20 line in feet or 6/6 in meters. Snellen chart control android is an electronic Snellen chart that controls the light transfer using Android. Commands originating from the Mitapp application on android are sent to the Bluetooth HC-05 module in the min sys Atmega16 circuit. Atmega 16 was chosen because it has a sufficient number of pins to control the displacement of the lights used by 23 lights. The appearance of the MIT app application has been adjusted to the letters contained in the Snellen chart, making it easier for operator to correct the results of the readings that have been performed by the eye vision patient
Design a Monitoring Device for Heart-Attack Early Detection Based on Respiration Rate and Body Temperature Parameters Zahra, Isna Fatimatuz; Wisana, I Dewa Gede Hari; Nugraha, Priyambada Cahya; Hassaballah, Hayder J.
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 3 (2021): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i3.244

Abstract

Acute myocardial infarction, commonly referred to as a heart attack, is the most common cause of sudden death where a monitoring tool is needed that is equipped with a system that can notify doctors to take immediate action. The purpose of this study was to design a heart attack detection device through indicators of vital human signs. The contribution of this research is that the system works in real-time, has more parameters, uses wireless, and is equipped with a system to detect indications of a heart attack. In order for wireless monitoring to be carried out in real-time and supported by a detection system, this design uses a radio frequency module as data transmission and uses a warning system that is used for detection. Respiration rate was measured using the piezoelectric sensor, and body temperature was measured using the DS18B20 temperature sensor. Processing of sensor data is done with ESP32, which is displayed wirelessly by the HC-12 module on the PC. If an indication of a heart attack is detected in the parameter value, the tool will activate a notification on the PC. In every indication of a heart attack, it was found that this design can provide notification properly. The results showed that the largest respiratory error value was 4%, and the largest body temperature error value was 0.55%. The results of this study can be implemented in patients who have been diagnosed with heart attack disease so that it can facilitate monitoring the patient's condition
Co-Authors Fitria, Annisa Novantina Eka Hassaballah, Hayder J. I Dewa Gede Hari Wisana Lamidi, Lamidi Pudji, Andjar Ridha Makruf, Muhammad Rizki Aulia Rachman, Rizki Aulia Zahra, Isna Fatimatuz