查看文章

Monitoring of environmental pollution level on campus is very important to do. According to UI Green Metric 2018 data, there are 719 campuses to participate in the developing of green campus and issues of sustainability. One of assessment is implementation of smart system to solve environmental problems in the campus area. To develop an environmental pollution monitoring tool based on IoT needs hardware and software. The hardware consists of sensors namely dust particle of PM-2.5 sensor type GPY21010AU0F, temperature and humidity sensor type SHT11, light intensity sensor type BH1750, CO2 sensor type MG-811, SIM 800, ADC module and microcontroller ESP32. Software is done using PHP and database. Parameters to be measured are density of dust particle, temperature, humidity, light intensity, CO2 level and loudness. Furthermore, information about environmental pollution data can be displayed and accessed in real-time via smartphones and computers. The sensors read the value every in 5 seconds. The results is in average value, density of dust particle is 1.39 μg/m3. Temperature is 36.58 0C. Humidity is 53.80% RH. Light intensity is 10,613 lux. CO2 level is 15.50 ppm (parts per million). There is upper threshold value for temperature and humidity. Others, it is a normal condition and no pollution because campus is still in lockdown.