Studi Konsentrasi Unsur Gas Rumah Kaca Dan Polutan Dari Data Satelit Di Wilayah Jabodetabek

Feriaji, Bayu (2026) Studi Konsentrasi Unsur Gas Rumah Kaca Dan Polutan Dari Data Satelit Di Wilayah Jabodetabek. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Jabodetabek, sebagai kawasan metropolitan terbesar di Indonesia menghadapi tantangan terkait kualitas udara: polusi tingkat tinggi serta tingginya emisi gas rumah kaca. Penyebab utamanya adalah padatnya aktivitas transportasi dan industri. Tingginya emisi gas rumah kaca dan polutan yang berdampak pada perubahan iklim dan tentunya kesehatan manusia. Penelitian ini bertujuan untuk mengkaji pola sebaran konsentrasi polutan udara nitrogen dioksida (NO₂), karbon monoksida (CO), dan sulfur dioksida (SO₂) serta gas rumah kaca metana (CH₄) dan ozon (O₃) secara spasial dan temporal dari tahun 2019 hingga 2023. Pendekatan yang digunakan meliputi analisis musiman, pengaruh fase ENSO, serta melakukan validasi data satelit Sentinel-5P dengan data hasil pengukuran langsung di lapangan (in situ). Pengolahan data dilakukan menggunakan platform Google Earth Engine. Validasi sendiri dilakukan di tiga lokasi yang mewakili lingkungan berbeda: urban (IPB CCROM-SEAP Bogor), sub urban (BRIN Serpong), dan rural (BMKG Cibeureum). Instrumen yang digunakan adalah alat pemantau udara dengan pengukuran presisi tinggi yang sudah terkalibrasi dengan gas standar bersertifikat. Hasilnya, tingkat korelasi antara data satelit dan data lapangan ternyata beragam. Untuk polutan, korelasi paling kuat ditemukan pada CO (r = 0,67) dan NO₂ (r = 0,66), sementara untuk SO₂ sangatlah lemah (r = 0,03). Untuk gas rumah kaca, CH₄ menunjukkan korelasi yang sedang (r = 0,51), sedangkan O₃ menunjukan korelasi lemah (r = 0,35). Tingkat korelasi untuk CO serta CH₄ tercatat lebih tinggi saat musim hujan dan menurun di musim kemarau. Sebaliknya, NO₂ menunjukkan korelasi lebih tinggi pada musim kemarau. Walaupun demikian, sebagian data satelit cukup terbukti mampu menangkap variasi musiman dan pola terkait dengan ENSO untuk sebagian besar gas yang diamati di wilayah Jabodetabek. Hasil ini memungkinkan pemantauan kualitas udara yang lebih efektif dan mendukung kebijakan mitigasi pencemaran udara yang lebih tepat.
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As the largest metropolitan area in Indonesia, Jabodetabek faces significant challenges related to air quality, including high levels of pollution and substantial greenhouse gas emissions. The primary sources are the intensive activities of transportation and industry. Elevated greenhouse gas and pollutant emissions contribute both to climate change and to adverse impacts on human health. This study aims to examine the spatial and temporal distribution patterns of air pollutants such as nitrogen dioxide (NO₂), carbon monoxide (CO), and sulfur dioxide (SO₂), as well as greenhouse gases like methane (CH₄) and ozone (O₃) from 2019 to 2023. The approach includes seasonal analysis, the influence of ENSO phases, and validation of Sentinel-5P satellite data against ground-based in-situ measurements. Data processing was conducted using the Google Earth Engine platform. Validation was carried out at three sites representing different environments: urban (IPB CCROM-SEAP, Bogor), suburban (BRIN, Serpong), and rural (BMKG, Cibeureum). The instruments used were high-precision air quality monitors calibrated with certified standard gases. The results indicate varying levels of correlation between satellite and ground-based data. Among pollutants, the strongest correlations were found for CO (r = 0,67) and NO₂ (r = 0,66), while SO₂ showed a very weak correlation (r = 0,03). For greenhouse gases, CH₄ demonstrated a moderate correlation (r = 0,51), whereas O₃ exhibited a weak correlation (r = 0,35). Correlation levels for CO and CH₄ were generally higher during the wet season and declined in the dry season, whereas NO₂ displayed stronger correlations in the dry season. Nevertheless, the satellite data successfully captured seasonal variations and ENSO-related patterns for most gases observed in Jabodetabek. These findings highlight the potential of satellite-based monitoring to support more effective air quality assessment and inform better-targeted air pollution mitigation policies.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Gas Rumah Kaca, Jabodetabek, Polutan, Sentinel 5P Green House Gases, Jabodetabek, Pollutan, Sentinel 5P
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Bayu Feriaji Feriaji
Date Deposited:	26 Jan 2026 05:24
Last Modified:	26 Jan 2026 05:24
URI:	http://repository.its.ac.id/id/eprint/130308

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