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Satellite-Based Atmospheric Monitoring for Environmentally Resilient Smart Cities in Indonesia Panggabean, Jogi; Kurnia, Julian; Hussen, Teuku; Putra, Hilmi Fawwaz; Counedio, Kenjiro; Habibie, Irsyad
Riwayat: Educational Journal of History and Humanities Vol 8, No 4 (2025): Oktober, Social Issues and Problems in Society
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v8i4.49740

Abstract

Indonesian metropolitan areas face unprecedented challenges from rapid urbanization, including deteriorating air quality, urban heat island effects, and increasing energy demands that threaten environmental resilience and sustainable development. Traditional ground-based monitoring systems provide limited spatial coverage, creating critical knowledge gaps for evidence-based urban planning and clean energy transitions. This comprehensive review synthesizes satellite-based atmospheric monitoring technologies and develops an integrated framework for environmental resilience assessment in Indonesian smart cities, with focus on Jakarta, Surabaya, and Bandung metropolitan areas. The methodology combines systematic analysis of MODIS, VIIRS, Landsat, ERA5, and Sentinel constellation capabilities with IoT integration frameworks to evaluate multi-parameter environmental monitoring potential. Literature synthesis reveals significant advances in satellite atmospheric monitoring, with TROPOMI achieving 5.53.5 km spatial resolution for trace gas detection and geostationary systems enabling hourly pollution mapping. Indonesian cities demonstrate severe environmental pressures: Jakarta experiences PM2.5 concentrations of 279-365 g/m, UHI intensities reaching 5-7C above rural backgrounds, while transportation contributes 67% of particulate emissions. Solar energy assessment indicates 4.5-5.8 kWh/m/day potential across Indonesian regions, supporting renewable energy transitions. The proposed multi-scale satellite-IoT integration framework operates from metropolitan to neighborhood scales, addressing tropical atmospheric challenges including high humidity and persistent cloud cover. This research provides actionable technological roadmap for Indonesian governments to develop satellite-based environmental monitoring capabilities, supporting data-driven strategies for clean energy deployment and sustainable urban development.
Sea Level Rise Impacts on Coastal Oil Palm Plantations Panggabean, Jogi; Kurnia, Julian; Shaumul, Teuku
International Journal of Oil Palm Vol. 8 No. 1 (2025)
Publisher : Indonesian Oil Palm Society /IOPS (Masyarakat Perkelapa-sawitan Indonesia /MAKSI)

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Abstract

Indonesia's coastal oil palm plantations face unprecedented threats from accelerating sea level rise, with regional rates of 4–5 mm year?¹ significantly exceeding global averages. This study presents the first comprehensive satellite-based assessment of sea level rise impacts on coastal oil palm vulnerability, focusing on Dumai City, Riau Province. We utilized five primary datasets spanning from 2020–2024: Landsat 8/9 and Sentinel-2 imagery for plantation mapping, SRTM DEM for topographic analysis, satellite altimetry for sea level measurements, and ground truth data for validation. Cross-wavelet analysis revealed an exceptionally strong negative correlation (r = -0.857) between sea level anomalies and coastal land cover changes, with a 30-day lag period indicating plantation ecosystem response time. NDVI trend analysis showed significant vegetation decline (-0.072 NDVI/year) over the study period, with plantation health deteriorating from optimal conditions in 2020 (mean NDVI: 0.608) to critical levels by 2024 (mean NDVI: 0.335). Land cover change detection revealed extensive palm oil expansion (+4,848 ha, +26.3%) occurring through conversion of natural forest (-3,114 ha, -22.8%) and mangrove ecosystems (-1,300 ha, -19.5%). Results reveal that 78% of coastal oil palm plantations are located within 5 km of shoreline on low-lying areas with elevations below 3 meters above sea level. The vulnerability assessment identified 2,847 hectares (64% of total coastal plantations) as highly vulnerable to inundation and saltwater intrusion, representing USD 12.3 million in annual production value at risk.
ENVIRONMENT-RESPONSIVE SMART MATERIALS: SUSTAINABLE INNOVATION BASED ON WEST JAVA CLIMATE DATA FOR FUTURE ENERGY TRANSITION Jogi R. N. Panggabean; Hilmi F. Putra; Irsyad M. Habibie; M. Raihan Hidayat; Kurnia, Julian; Kenjiro K. Counedio; Teuku S. Huseen
Multidisiplin Pengabdian Kepada Masyarakat Vol. 4 No. 03 (2025): Multidisiplin Pengabdian Kepada Masyarakat, inpress edition 2025
Publisher : Sean Institute

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Abstract

Climate variability demands materials that adapt to environmental changes rather than simply resist them. This study analyzed environment-responsive smart materials for West Java's tropical climate using satellite data (2021-2024) tracking rainfall, sea surface temperature (SST), and chlorophyll-a. Statistical analysis revealed significant correlations: rainfall-SST (r = -0.41), rainfall-chlorophyll-a (r = 0.49), and SST-chlorophyll-a (r = -0.69), creating predictable environmental states affecting material degradation. Metal-Organic Framework (MOF) materials achieved 99% water harvesting efficiency at 80% relative humidity, typical of wet season conditions. Self-healing polymers performed optimally at 29-31°C, matching regional temperatures and minimizing energy requirements. Weathering analysis showed polymers degraded fastest (7.8% annually) versus aluminum (1.7% annually) under wet-dry cycling. Rainfall-optimized circular economy implementation demonstrated 65% resource efficiency improvement and 55% carbon emission reduction compared to traditional systems, with economic value reaching $60 per unit under optimal conditions. Biological recycling achieved 105% efficiency during wet seasons, while chemical recycling performed better during dry periods, suggesting complementary seasonal strategies. Temporal trends indicated precipitation increases and SST decreases consistent with regional climate projections, though natural variability remained dominant. This integrated framework linking satellite climate data with material performance enables evidence-based selection for tropical applications and provides replicable methodology for other regions facing similar environmental challenges.