Pengukura Suhu dengan Ir MLX90614 dan NoDeMCU dan Membandingkan dengan Ds18B20 untuk pencegahan Covid 19

Dani Sasmoko, Nur Afifah, Iman Saufik
{"title":"Pengukura Suhu dengan Ir MLX90614 dan NoDeMCU dan Membandingkan dengan Ds18B20 untuk pencegahan Covid 19","authors":"Dani Sasmoko, Nur Afifah, Iman Saufik","doi":"10.51903/elkom.v14i2.523","DOIUrl":null,"url":null,"abstract":"This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign","PeriodicalId":118486,"journal":{"name":"Elkom : Jurnal Elektronika dan Komputer","volume":"65 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Elkom : Jurnal Elektronika dan Komputer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51903/elkom.v14i2.523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
本研究通过比较DS18B20传感器和MLX 90614传感器,检测用于检测新冠肺炎症状的体温检测的准确性。在本实验中,使用传感器检测不同的人体部位,进行了10次试验。在实验中发现,由于MLX90614传感器不需要与人体皮肤接触,因此更适合用于基于物联网的系统开发。MLX90614传感器将检测温度并将其更改为一个摄氏度单位,然后将其发送到firebase数据库,然后由安全人员持有的android应用程序拾取,以便远程了解温度。当温度超过38.5摄氏度时,它会打开蜂鸣器,从远处可以听到,这表明温度高于38.5摄氏度,在安卓上也会显示危险信号
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Perbandingan Metode Naïve Bayes Classifier Dan Support Vector Machine Pada Kasus Analisis Sentimen Terhadap Data Vaksin Covid-19 Di Twitter PERANCANGAN SENSOR KADAR OKSIGEN UNTUK IDENTIFIKASI PENDERITA STROKE DENGAN METODE NON INVASIVE Perancangan Alat Pendeteksi Asap dan Suhu Ruangan Berbasis Internet Of Think di PT. APAC Inti Corpora Sistem Rekomendasi Event Online Menggunakan Metode Content Based Filtering Rancang Bangun Design UI/ UX pada Aplikasi PANTAU menggunakan Pendekatan Design Thinking
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1