Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Elektron Jurnal Ilmiah JECCOM
Laxmy Devy
Politeknik Negeri Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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

Found 2 Documents
Search

 1 
Sistem Pengendalian dan Monitoring Distribusi Air Berbasis Nodemcu 8266 Laxmy Devy; Yul Antonisfia; Monica Febrina; Suryadi suryadi
Elektron : Jurnal Ilmiah Volume 12 Nomor 1 Tahun 2020
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1099.825 KB) | DOI: 10.30630/eji.12.1.153

Abstract

Clean water management is managed by a Perusahaan Daerah Air Minum (PDAM), which is centered on each local government. The distribution of water to consumers cannot be done evenly because of the water distribution system and manual monitoring. Overcoming these problems, the Water Distribution Equity System to Consumers can be used to monitor and control water distribution. This system regulates the debit and time zone for water distribution to consumers. Water discharge is detected by the water flow sensor, and the valve is connected to the servo and time zone using RTC DS1307. The water pump is controlled to maintain the volume of water in the reservoir. The water level in the reservoir is detected using the HC-SR04 ultrasonic sensor. Water distribution is monitored on PCs (Personal Computers) and smartphones using Delphi programming and Thingspeak. The reading of water discharge is generated during peak use times for each faucet is 1.9: 1.8: 1.8 while at the time of normal use the ratio of the initial distribution to each faucet is 2.5: 2.3, 1: 1, and 2.5: 2.3.
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.
Co-Authors - Suryadi Anggara Nasution Era Madona Monica Febrina Nur Iksan Yul Antonisfia Yulastri Yulastri