Analysis of CO Pollutant Monitoring System Using MAPPI32 LORA in Bekasi City

Air pollution in the form of particles and gases that are caused by both results in unhealthy air quality. The health index standard notes that 0-50 in units of $\mu$g/m3 is the threshold for clean and beautiful air. With the increasingly massive technology era, researchers are trying to compare the results of monitoring the pollutant gas carbon monoxide (CO) at two points in Bekasi City. Researchers used a simple design model with the LoRa WAN concept to develop the application. The variables studied were knowing the sensitivity of the MQ135 gas sensor and CO gas levels by the MQ135 sensor using Mappi32 in real-time. To design and build a monitoring system using LoRa (Long Range) Communication and also to apply a system for monitoring LoRa (Long Range) Communication Network-Based Air Pollution. The Transmitter-a and Transmitter-b obtained are $CO_{a}$ Gas of 14.63 % and $CO_{b}$ Gas of 11.08%. The % Accuracy sensor compare to the manufacturer’s tool in COa Gas sensor is 85,37 % and COb Gas sensor 88,92% with $10^{{\mathrm {th}}}$ time comparation condition. The MAPE value is range 10% until 20%, the modeling ability of the tool is good in the measurement of CO gas (Carbon Monoxide). From the ISPU calculation results, $CO_{a}$ Gas and $CO_{b}$ Gas detected by the sensor for 24 hours were 92.19 $\mu$g/m3 and 93.22 $\mu$g/m3, respectively, so they are included in the moderate ISPU category.