APLIKASI WIRELESS SENSOR NETWORK UNTUK SISTEM MONITORING DAN KLASIFIKASI KUALITAS UDARA
Daftar Isi:
- Indonesia is one of the countries investing in the industrial sector. Industries affect the environment, notably air quality. If the air pollution expelled by industrial chimneys could not be processed properly, it would adversely affect human health. Currently, monitoring the air quality in some areas only uses one tool. This is deemed inadequate to describe the condition of air quality in a given area. On the other hand, installing more than one tool would be very expensive. This research applied the concept of wireless sensor network (WSN) for air quality monitoring by installing more than one sensor nodes in a particular location and one sink that acts to collect data from the sensor nodes then sends them to the server. Air quality data obtained by the sensor nodes were then classified using the classification method in data mining that is k-nearest neighbor (K-NN). Prior to classification using K-NN, data normalization was performed, which generates a decimal scaling with good performance for air quality data. The k values used for the K-NN classification are 5. The accuracy of the system is 94.28%, the precision is 85.16% and the recall is 93.35%.