Crowdsourced Urban Noise Pollution Mapping App
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Jakarta experiences persistent environmental noise driven by rapid urbanization, traffic, and commercial activity, while conventional manual sampling cannot capture continuous daily acoustic variation. This study evaluates AudioHome, a mobile application for automated and crowdsourced urban noise mapping. A quantitative design was applied at four Jakarta observation locations: Cempaka Putih Timur, Cipinang Indah Raya, the Matraman Bus Corridor, and Kawasan Pulomas. Decibel readings were paired with location coordinates and timestamps across multiple daily intervals, with the inverse-square law used as a theoretical basis for interpreting sound propagation. The results show the highest recorded average at the Matraman Bus Corridor (75 dB), followed by Cipinang Indah Raya (72 dB), while Cempaka Putih Timur reached interval values up to 65 dB and Kawasan Pulomas recorded 58 dB. AudioHome supports real-time logging, historical review, map-linked records, trend visualization, CSV export, and automated advocacy reporting. These findings indicate that smartphone-based crowdsourced sensing can provide accessible evidence for identifying urban noise hotspots and supporting community and municipal responses.
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