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All Journal Sosio Konsepsia Jurnal Studia Insania Pharmaceutical Journal of Indonesia Piwulang: Jurnal Pendidikan Agama Islam JMK Jurnal Manajemen dan Kewirausahaan Hubungan Tingkat Pengetahuan Petugas Pengelola Obat dengan Tingkat Ketersediaan Obat Di Puskesmas Kota Malang Journal of Applied Data Sciences Rabbani: Jurnal Pendidikan Agama Islam Jurnal Sylva Scienteae Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Jurnal Sylva Lestari JURNAL HUTAN TROPIS Jurnal Cendekia Keuangan Journal of the Community Development in Asia Profit: Jurnal Manajemen, Bisnis dan Akuntansi Jurnal Tahsinia Jurnal Pengabdian Masyarakat Charitas Riwayat: Educational Journal of History and Humanities Neraca Manajemen, Akuntansi, dan Ekonomi Al-khidmah: Jurnal Pengabdian dan Pendampingan Masyarakat
Ahmad Jauhari
IAIN Syekh Nurjati Cirebon
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Journal of Applied Data Sciences

 1 
Urban Heat Island Spatial Model for Climate Village Program Planning Munsyi, Munsyi; Nugroho, Agung; Jauhari, Ahmad; Faisal, Moh Reza
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.223

Abstract

Global warming and climate change are critical issues impacting ecosystems, human habitats, and the overall environment. Urban Heat Island (UHI) is a significant phenomenon resulting from increased urban temperatures due to dense urban development, the use of heat-absorbing materials, and reduced vegetation. This study focuses on analyzing the UHI effect in Banjarmasin, Indonesia, using spatial regression and descriptive spatial analysis methods. By employing Land Surface Temperature (LST) data from Landsat 9 and Sentinel-2 satellite imagery, combined with data from wireless sensor networks (WSN), this research aims to develop a comprehensive UHI spatial model to inform climate village program planning. The results reveal substantial temperature variations within Banjarmasin, with urban areas showing significantly higher LST values compared to vegetated outskirts. The integration of satellite data with real-time WSN measurements provides a robust validation method, ensuring accurate environmental monitoring. This study underscores the importance of enhancing green spaces and implementing sustainable spatial planning to mitigate UHI effects. The proposed UHI spatial model offers a valuable tool for urban planners and policymakers in developing strategies to improve urban environmental quality and resilience to climate change.
Biophysical Model of Mount Babaris for Predicting Carbon Potential using Remote Sensing Jauhari, Ahmad; Syauqiah, Isna; Taati, La; Munsyi, Munsyi
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.321

Abstract

The biophysical model of Mount Babaris aims to predict carbon potential using remote sensing technology to address high levels of greenhouse gases, particularly CO2. This study combines satellite data with field measurements to create a validated model analyzing Forest Canopy Height (FCH), Normalized Difference Vegetation Index (NDVI), Vegetation Density (VD), and Land Surface Temperature (LST). A multiple regression analysis shows a strong correlation between these parameters and VD, with an R² value of 0.8673, indicating that 86.73% of the variation in vegetation density can be explained by these variables. Field validation, including drone photographs, crown and stem base density measurements, and plant size, ensures the accuracy of the satellite-derived data. The model uses the equation VD = 123.295486 x NDVI - 0.413961 x LST - 0.410253 x FCH - 3.173195, validated through field data. For processing field measurements, the equation LBDstemCor = 0.007645 x LBDcrown + 0.034348 x VD - 1.575439, with an R² value of 0.9564, further demonstrates its accuracy. To estimate carbon potential in kilograms per pixel (CPP), the equation CPP = LBDstemCor x FCHcor x 0.7 x 680 x 1.34 x 0.47 was used. The predicted carbon potential for Mount Babaris (1,576 ha) ranges from 607,767.55 to 607,829.54 tons, reflecting the model's precision in estimating carbon storage. This model plays a crucial role in monitoring and predicting carbon potential, supporting environmental management and climate change mitigation efforts. By integrating GIS and remote sensing, the model offers a scalable, replicable methodology adaptable to other regions with similar characteristics. It enhances the accuracy of carbon stock estimations and provides essential data for developing strategies to increase carbon sequestration, contributing to global climate change mitigation. The combination of satellite data, field measurements, and statistical analysis makes this model an invaluable tool for effective ecosystem conservation and restoration.
Co-Authors Andi Saputra Anshari, Rifqi Ariansyah, Muhammad Indra Arik Kurniawati Asep Mulyana Asmaran AS, Asmaran Eko Widodo Elis, Elis Ernaning Widiaswanti Faisal, Moh Reza Fathul Zannah Fatmawati, Siska Lusiana Febriawan, Riki Angga Firmansyah, Muhammad Bagus Gusti A.R. Thamrin Gusti Muhammad Hatta Hafizianor Hafizianor Hafizianor, Hafizianor Hanafi, Nanang Hardiningrum, Iing Sri Ida Ayu Putu Sri Widnyani Ikhlas, Muhammad Noor Iskandar, Beni Isna Syauqiah Jumroh, Jumroh Kuncoro, Anis Meliani Kurnia, Adib Ahmad Masru’ah, Imas Maula, Mahmudatul Mochamad Arief Soendjoto Mufidah Mufidah Muhammad Miftah, Muhammad Munsyi, Munsyi Muttaqien, Zaenul Nugroho, Agung Retno Indriartiningtias Rustandi, Lucky Rama Saidah Santi Nurhayati, Santi Sari, Laura Ameylia Novita Siswanto, Wawan Siti Faridah Suwendi , Suwendi Suyanto Suyanto Syam'ani, Syam'ani Taati, La Tsuroyya, Anis Yuniartin, Titin Zafi, Ashif Az