Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Teori dan Aplikasi Fisika
Yulkifi Yulkifi
Universitas Negeri Padang
Materials Science & Nanotechnology Physics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Rancang Bangun Sistem Pengukuran Tekanan Udara Menggunakan DT-Sense Barometric Pressure Berbasis Internet of Things dengan Display Smartphone Indah Tri Handini; Yulkifi Yulkifi; Yenni Darvina
Jurnal Teori dan Aplikasi Fisika Vol 8, No 1 (2020): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v8i1.2257

Abstract

Weather be a very important thing to observe. One of the weather paramaters is air pressure. The air pressure on a surface is the force given to a surface or area by the air column above the surface. This research designed an air pressure gauge using DT-Sense Barometric Pressure which used to measure the value of the air pressure based of Internet Of Things with measurement result displayed on a smartphone. For data retrieval techniques were done by directly and indirectly. The amount that carried out directly is air pressure, while the indirect amount is the precision and the accuracy of air pressure measurements. The result of this research was the system performance specifications consist of mechanical systems that were supported by electronic systems. The precision measurements were done by comparing the results from Digital Barometer with the air pressure gauge that has been made. The percentage of average erros that obtained was 0.02965%,  the relative precision average on the system was 0.99955, and the precision percentage of the tool was very good at 99.995%. The accuracy measurements were done by measuring the air pressure under the same conditions. The measurements were done by 10 times with reading on a constant standard measuring tools. The average accuracy of the system was 0.99 with an average standard deviation of 0.7 and relative errors average 0.0098%.
Co-Authors Indah Tri Handini Yenni Darvina