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All Journal Jurnal Ilmiah Multidisiplin Indonesia Riwayat: Educational Journal of History and Humanities International Journal of Oil Palm
Panggabean, Jogi
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Engineering Environmental Science Physics Social Sciences

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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): October
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.
Quantifying Ocean-Atmosphere-Ecosystem Coupling: Precipitation-Chlorophyll Lag Relationship in West Java Using Decade-Long Satellite Observations Rzaqa, Muhammad Fatan; Satria Sandi Pratama; Carolina Angel; Nailil Izzah; Haura Azalia Putri Fardian; Panggabean, Jogi
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 05 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), May 2026
Publisher : Sean Institute

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Abstract

Understanding predictive relationships between oceanic conditions and extreme rainfall is crucial for improving weather forecasting capabilities in tropical maritime regions. This study investigates quantitative relationships between precipitation, chlorophyll-a concentrations, and extreme rainfall patterns in West Java using 10 years of satellite observations (2014-2024). We analyzed IMERG precipitation data and MODIS chlorophyll-a products using cross-correlation analysis, continuous wavelet transform, cross-wavelet coherence, and spatial extreme indices calculations. Results reveal statistically significant coupling between precipitation and chlorophyll-a (r = -0.173, p < 0.001) with precipitation leading chlorophyll decrease by 19 days, reflecting marine ecosystem responses to terrestrial runoff. Cross-wavelet coherence analysis demonstrates 78% annual coherence and 68% semi-annual coherence between these variables, with 72.5% of total variance explained by significant periodic interactions. Wavelet analysis identifies dominant annual and semi-annual cycles in both precipitation and chlorophyll-a with 95% statistical significance. Spatial analysis using k-means clustering reveals four distinct precipitation regimes: northern coastal zones with prolonged dry periods (>45 days), central highlands with intense convective activity (>3000 mm annually), southern mountains with extreme precipitation (>3200 mm), and transitional zones with mixed characteristics. Spatial autocorrelation analysis confirms significant clustering (Moran's I = 0.65-0.89) of precipitation extremes across the region. The identified 19-day lead-lag relationship provides a scientific foundation for marine ecosystem monitoring and represents a significant advancement in understanding ocean-atmosphere-ecosystem coupling processes in tropical Indonesia. These findings have important implications for developing improved seasonal forecasting capabilities and ecosystem-based climate adaptation strategies. Keywords: Climate variability; Extreme precipitation; Lead-lag correlation; Tropical meteorology; Wavelet analysis; Cross-wavelet coherence; Marine ecosystems
Co-Authors Carolina Angel Counedio, Kenjiro Habibie, Irsyad Haura Azalia Putri Fardian Hussen, Teuku Kurnia, Julian Nailil Izzah Putra, Hilmi Fawwaz Rzaqa, Muhammad Fatan Satria Sandi Pratama Shaumul, Teuku