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Jakarta is one of the most polluted cities in Southeast Asia. Pollution growth in Jakarta was quite high, along with the increase in the volume of motor vehicles. One of the pollutants that are dangerous as a result of incomplete combustion of vehicle engines is Lead (Pb). Lead is dangerous for health, especially in children and pregnant women. Considering the importance of measuring air quality, including Lead (Pb), DKI Jakarta Regional Environmental Management Agency (BPLHD) conducts air quality checks regularly. However, the high cost of monitoring air quality causes air quality to be measured only at a few points of observation location. Therefore, this paper aims to interpolate air quality at points not sampled using spatial interpolation or kriging techniques. Kriging is done by Bayesian method to consider parameter uncertainty in the variogram. The results showed that western Jakarta has the potential to have high lead pollutants compared to the central and eastern regions. In addition, a comparison between conventional and bayesian kriging methods, with the results of bayesian kriging, has a smaller variance than conventional kriging.

Interpolasi Konsentrasi Polutan Timbal di DKI Jakarta Menggunakan Kriging Bayesian