TY - GEN
T1 - Sensor node for data sampling and correlation analysis of CO2 concentration with air humidity, temperature, and light intensity
AU - Arshad, Aulia
AU - Habibie, Novian
AU - Wibisono, Ari
AU - Mursanto, Petrus
AU - Nugroho, Widijanto Satyo
AU - Jatmiko, Wisnu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/6
Y1 - 2017/3/6
N2 - Carbon Dioxide gas (CO2) gas contained in our air which has many roles in environment, but in a huge amount it became dangerous. To encounter that, the system for CO2 monitoring is needed. One of the most effective way is using Wireless Sensor Network (WSN). This system capable to monitor concentration of CO2 and another variable using sensor nodes. But not all of that parameters is correlated to concentration of CO2. To make monitoring system runs efficiently, correlation analysis between variables is needed. This research conduct a correlation analysis between concentration of CO2 and humidity, temperature and light intensity from data collected by our own-made digital sensor node. Data gathered for seven days in one location with a fluctuate environment condition. Correlation calculated with Spearman's rho method. The result is CO2 and air humidity have a strong positive correlation with air humidity (0.726), weak negative correlation with light intensity (-0.319), and no correlation with air temperature (-0.008).
AB - Carbon Dioxide gas (CO2) gas contained in our air which has many roles in environment, but in a huge amount it became dangerous. To encounter that, the system for CO2 monitoring is needed. One of the most effective way is using Wireless Sensor Network (WSN). This system capable to monitor concentration of CO2 and another variable using sensor nodes. But not all of that parameters is correlated to concentration of CO2. To make monitoring system runs efficiently, correlation analysis between variables is needed. This research conduct a correlation analysis between concentration of CO2 and humidity, temperature and light intensity from data collected by our own-made digital sensor node. Data gathered for seven days in one location with a fluctuate environment condition. Correlation calculated with Spearman's rho method. The result is CO2 and air humidity have a strong positive correlation with air humidity (0.726), weak negative correlation with light intensity (-0.319), and no correlation with air temperature (-0.008).
UR - http://www.scopus.com/inward/record.url?scp=85016967978&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS.2016.7872793
DO - 10.1109/ICACSIS.2016.7872793
M3 - Conference contribution
AN - SCOPUS:85016967978
T3 - 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
SP - 111
EP - 116
BT - 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
Y2 - 15 October 2016 through 16 October 2016
ER -