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Stewart Pertuack
Universitas Amikom Yogyakarta, Yogyakarta
Astronomy Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Social Sciences

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Pola Perubahan Suhu Permukaan Daratan di Kecamatan Ternate Tengah, Kota Ternate Tahun 2013 dan 2023 Menggunakan Google Earth Engine Heinrich Rakuasa; Stewart Pertuack
sudo Jurnal Teknik Informatika Vol. 2 No. 2 (2023): Edisi Juni
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v2i2.271

Abstract

Suhu permukaan daratan di Kecamatan Ternate Tengah mengalami peningkatan dari tahun 2013-2023, salah satu faktor penyebabnya yaitu terjadinya perkembangan lahan terbangun yang semakin meningkat setiap tahunnya. Penelitian ini menggunakan data citra Landsat 8 Collection 1 Tier 2 TOA Reflectance pada google earth engine. Untuk menganalisis suhu permukaan daratan (LST) pada citra Landsat 8 menggunakan Google Earth Engine (GEE) berbasis cloud computing dengan menggunakan formula "Single Channel Algorithm" atau "Split-Window Algorithm". Hasil penelitian menunjukan bahwa nilai suhu permukaan daratan tertinggi di tahun 2013 yaitu 24,41ᵒ C dan mengalami peningkatan di tahun 2023 menjadi 28,63ᵒ C. Hasil peneltian diharapkan dapat memberikan manfaat yang besar bagi Pemerintah setempat dalam merencanakan dan mengambil keputusan dalam berbagai sector diantaranya pengembangan sektor pertanian, pengelolaan sumber daya air, dan penanggulangan bencana.
Geographic Artificial Intelligence and Unmanned Aerial Vehicles Application for Correlation Analysis of Settlement Density and Land Surface Temperature in Panggang Island Jakarta Stewart Pertuack; Philia Christi Latue
Buana Jurnal Geografi, Ekologi dan Kebencanaan Vol. 1 No. 1 (2023): Edisi Agustus
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/buana.v1i1.340

Abstract

This research aims to understand the relationship between high settlement density and land surface temperature associated with the Urban Heat Island (UHI) phenomenon. The data processing method involves collecting settlement density data using UAVs equipped with thermal sensors, as well as using GeoAI, namely GEE, to analyze LST on Panggang Island. The results showed a positive relationship between settlement density and LST on Panggang Island, with high settlement density contributing to an increase in ground surface temperature. The benefits of the application of GeoAI and UAVs in this analysis include accurate mapping, understanding the impacts of urbanization, sustainable urban planning, and fact-based decision-making. It is hoped that this research can contribute to better urban management and reduction of environmental impacts in Pulau Panggang, DKI Jakarta.
Co-Authors Heinrich Rakuasa Philia Christi Latue