Aplikasi Jaringan Syaraf Tiruan Untuk Clustering Polutan Kimia Penyebab Pencemaran Udara

Abstract

The problem of air pollutionis a serious problem faced by big cities in Indonesia even in the world. Air pollution can come from a wide range ,among others: motor vehicle fumes, factory smoke, industries waste, house hold waste, etc The current air pollution has reached alarm ing levels, as supported by the development of the industrial world, increasing human population, the greater the resulting environmental pollution. Decreasedair quality due to the content of chemical substances as pollutants have negative impacts on human life that is healthy environmental degradation, health problems, toserious environmental damage. Increasedair pollution as the negative impact caused by pollutants, pollutants required clustering based on the load of pollutants containing hazard ous chemical sare produced. Group ing pollutants by using Artificial Neural Network (ANN). Clustering chemical pollutants using artificial neural network method Learning Vector Quantization (LVQ produce 0.0011719 learning rate, with a target error 0001 epoch reached on the 10th. Clusteringis generated in the form of area in the city of Balikpapan as a regional cluster based chemical pollutants cause air pollution and the negative impact of these pollutants, as well as used as information for regional development policiesin particular, in order totake appropriate measuresto preventandcope with air pollution.