Article Per Year (5 Year)
p-Index From 2020 - 2025
0.817
P-Index
This Author published in this journals
All Journal SANITAS: Jurnal Teknologi dan Seni Kesehatan Jurnal Teknik Elektro dan Komputer Scientific Journal of Informatics
Rahmalisa Suhartina
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Medicine & Pharmacology Public Health

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
UVC Sterilization Robot With Remote Wireless Mode and Autonomous Mode Nanda Ferdana; Deska Insani Zaidarlis; Rahmalisa Suhartina; Andito Prasetya
SANITAS: Jurnal Teknologi dan Seni Kesehatan Vol 13 No 1 (2022): SANITAS Volume 13 Nomor 1 Tahun 2022
Publisher : Politeknik Kesehatan Kemenkes Jakarta II

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36525/sanitas.2022.7

Abstract

Public concerns during the coronavirus disease (COVID-19) pandemic in Indonesia, which began in early 2020 until now, are of particular concern. It is caused by the SARS-CoV-2 which can be spread by direct contact such as aerosols. In an effort to prevent and handle the spread of coronavirus, especially indoors, it can be done by disinfection and using ultraviolet-C (UVC) light sterilization. The use of UVC light sterilizers generally requires the operator to move the tool in the sterilization process, this fact is a concern because the operator must ensure the area can be exposed to UVC rays. This issue is what the author created to be able to design a UVC sterilization robot that can be controlled by wireless remote mode and autonomous mode in the hope of being able to sterilize the room properly controlled by the camera and seen from the control area using assistance. The design of the UVC robot for wireless remote mode and autonomous mode using Arduino UNO as a microcontroller, ESPCAM-32 as a camera function that is integrated with wifi connectivity, HC-SR04 sensor to detect the distance of the tool with its surroundings, battery, navigated robot using the blynk application and the BTS 7960 motor driver as a motor for the tool wheel. The UVC sterilization robot was tested by testing the function of the remote control mode, testing the autonomous mode and the function of the UVC lamp. From the results of the tests and analysis performed, the UVC disinfection robot can work well in both the wireless remote mode and the autonomous mode. UVC robot sterilization can be used mobile and automatically and can make it easier for operators to carry out sterilization in the room.
An Arduino-Driven Approach for Weight and Height Measurement Monitoring Ade Firdaus; Nanda Ferdana; Rahmalisa Suhartina; Yusuf Borhanudin
Jurnal Teknik Elektro dan Komputer Vol. 12 No. 2 (2023): Jurnal Teknik Elektro dan Komputer
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract — The development of a weight and height measurement system based on Arduino has proven to be an effective tool for assessing body weight and providing valuable insights into individuals' health status. This system combines a proximity sensor and a digital scale to accurately measure weight and calculate the ideal body weight. The integration of buttons, an Arduino Uno, and an LCD 16x2 facilitates the operation and display of readings. Additionally, the system incorporates BMI calculation as a measurement guide, enhancing its functionality. The obtained results demonstrate the reliability and accuracy of the system in measuring weight and height. The device can be utilized not only in medical settings but also in fitness centers, households, and other environments where monitoring and maintaining optimal body weight is essential. By detecting overweight or underweight conditions, individuals can take necessary steps to prevent or manage weight-related health issues. In conclusion, the Arduino-based weight and height measurement system provides a practical and user-friendly solution for individuals to monitor their weight and obtain vital information regarding their ideal body weight. Further research and improvements can be made to enhance the system's capabilities, such as incorporating wireless connectivity for data transfer and analysis, enabling remote monitoring and tracking of weight trends.   Keywords: Arduino, Berat Badan Ideal, BMI Calculation, Scales, Weight and Height Measurement, Wireless Connectivity, Body Weight Management
Optimizing Fall Detection System as an Early Warning System for the Elderly to Enhance Quality of Life Syamsul Hidayat, Sidiq; Fadhil; Mujahidin, Irfan; Mohammad Faizin Zaini; Rahmalisa Suhartina
Scientific Journal of Informatics Vol. 11 No. 2: May 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i2.3716

Abstract

Purpose: The main objective of this research is to develop a fall detection system and improve rapid emergency response or early warning systems for falls in the elderly. Methods: In this research, the waterfall method was used for image analysis to detect falls with high accuracy. We also used Raspberry Pi 3, and OpenCV3 to set up a server to receive fall detection alerts and forward them to email. Results: This system integrated a camera mounted on a Raspberry Pi 3 to continuously monitor the area captured by the camera. In the fall detection system, the results of testing with data showed that the system accuracy was 72.22%, sensitivity 72.72%, and error 27.77%. Novelty: The approach this research adopted can be used in a variety of settings, including home healthcare, elderly care facilities, or places that require safety monitoring. With this system, we hope to improve rapid response in emergency situations, thereby protecting and improving the quality of life for people in need.
Co-Authors Ade Firdaus Andito Prasetya Deska Insani Zaidarlis Fadhil Mohammad Faizin Zaini Nanda Ferdana Nanda Ferdana Syamsul Hidayat, Sidiq Yusuf Borhanudin