Article Per Year (5 Year)
p-Index From 2021 - 2026
1.908
P-Index
This Author published in this journals
All Journal Elektron Jurnal Ilmiah Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Seminar Nasional Teknologi Informasi Komunikasi dan Industri Indonesian Journal of electronics, electromedical engineering, and medical informatics Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat JECCOM Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics ELECTROPS : Jurnal Ilmiah Teknik Elektro Joong-Ki Jurnal Keperawatan Sehat Mandiri
Yulastri Yulastri
Politeknik Negeri Padang
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Nursing Public Health

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : JECCOM

 1 
Implementation of K-Nearest Neighbor for Fall Position Detection of Dementia Patients Based Microcontroller Yulastri; Era Madona; Laxmy Devy; Anggara Nasution; Nur Iksan
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 2 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.2.79-85.2023

Abstract

A microcontroller-based detection tool for the presence of patients with dementia has been made using the K-Nearest Neighbor (KNN) method with the help of coordinate points that can be seen via Google Maps. which is based on patient care with a patient-oriented approach. The targets of this research are (a) designing and implementing a fall detection system using the mpu6050 sensor, (b) using the (KNN) method to determine the coordinates of the location of dementia patients using GPS. The research method starts from making a prototype and measuring system performance. The test results on GPS produced an average latitude error of 0.002091% and an average longitude error of 0.000032% in Pauh District, while in Lubuk Kilangan District the average latitude error was 0.002641% and an average longitude error of 0.000150%. The KNN method with the Eucledian distance formula can help supervisors find out the nearest police station to the patient through the coordinate points detected by GPS by taking the smallest value from the comparison of values in the form of degrees between the Pauh police station and the Lubuk Kilangan police station for the patient. Overall the tool can function well.
Design of Basic Vital Signs Measurement Tool And Dehydration Early Detection in Human Body Efrizon Efrizon; Gwo Jia Jong; Hendrick Hendrick; fadhlan; Yulastri Yulastri
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.1.1-8.2023

Abstract

A tool has been made to monitor vital signs such as heart rate, oxygen saturation in the blood, and body temperature based on a microcontroller which is based on dehydration conditions where the body loses more fluid than the amount of fluid it enters. Parameters for carrying out this detection include heart rate, blood oxygen saturation (SpO2), body temperature and urine color. The targets of this research are (a) making a prototype, (b) programming the system with the help of the Arduino IDE, and (c) measuring system performance. The research method starts from making a prototype and measuring system performance. The results of measuring the performance of the tool show that the error for measuring heart rate is 1.28%, measuring blood oxygen saturation (SpO2) is 0.51%, and measuring body temperature is 1.729%. However, for the dehydration detection test from 5 test samples, the results showed a success percentage of 60% with an average error of 40%. Overall the tool can function well
Design and Implementation Monitoring System for The effects of Prolonged Sitting Yulastri Yulastri; Aprinal Adila Asril; Era Madona; Roni Putra
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.1.9-15.2023

Abstract

Workers spent more than two-thirds of their working hours sitting behind their desk. Almost all of them never put attention to good sitting position and caused health problems for themselves such as increasing the risk of hemorrhoids, heart disease, diabetes, obesity, joints damage, muscles and posture. The workers are not aware into account how long they had been sitting. Thus, one way to avoid health problems caused by long-term sitting is using a device which monitors body temperature, heart and muscle. In this study, the prototype is designed and implemented to monitor how long the worker had sit in their chair and the effect to their body. This system detected the temperature on the chair using temperature sensor, sensor ECG to heart detection placed on the finger and the sensor EMG to detect muscle is placed on the hand muscles. The information from the sensors are sent and saved to the database server and displayed through the website. The test results indicate that body weight and gender affect the speed of rise of body temperature which is measured on the seat cushions. Functional testing using the web interface successfully performed in displaying the results to the web interface sensor readings in real time and displays the results of the previous sensor readings.
Monitoring System For Premature Baby Weight and Incubator Temperature Using Telegram Messanger With Smart Notificaton Era Madona; Yulastri Yulastri; Roni Putra; Anggara N; Aditya Wardhani
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.1.34-40.2023

Abstract

This research is designed as solution to maximize the automation service to premature baby in smart health concept. The aim of this research built the monitoring system to show the condition of premature baby weight and the incubator temperature using telegram messenger. The incubator in this research using grashof method and some hardware consist of DHT and load cell sensor, Ethernet shield and microcontroller arduino uno. The application in this research applied the Bot fiture from telegram messenger to response message and question. There are two service in the application, first baby weight service and incubator temperature services. Besides these services, the application also have notification service that inform the baby weight under 2,2 kg and the temperature. The experiment result of load cell circuit show error of baby weight measurement is 2,325 % and the bot testing using three commands and notification show the satisfied result.
Co-Authors Afif , Muhammad Albar albar Anggara N Anggara Nasution Anggara Nasution Anggara Nasution Anggara Nasution, Anggara Anton Anton Aprinal Adila Asril Azhar, Dini Amalia Citra Azzahra Ansar Deswita, Desi Era Madona Era Madona fadhlan Gwo Jia Jong Halim Mudia Hendrick Hendrick Heppi Sasmita Ifandi ifandi Ifni Joi Irmansyah, M. Khaira Ummah Febrian A Laxmy Devy Luh Putu Ratna Sundari M Irmansyah M Irmansyah M. Irmansyah Mirawati, Anita Muhammad irmansyah Nur Iksan Putra, David Eka Roni Putra Salsabila Qur’ana Putri S SITI NASYRAH RIZQA Wardhani, Aditya Wendy, M. Rival Tri Widya Alzipah Nur Zainuddin, Kurniari Zakaria Zakaria Zulharmaswita, Zulharmaswita