Mohammad Hervin Abydzar Hakim, . (2025) PEMETAAN GREEN FINANCING DI JAWA BARAT MENGGUNAKAN DATA SATELIT DAN POWER BI. Tugas Akhir thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The advancement of remote sensing and data modeling technologies enables innovative approaches to support sustainable development through spatial data analysis. This study aims to develop an interactive dashboard system using Power BI, integrating poverty index prediction and green investment potential based on satellite imagery and environmental indicators. The poverty index model was built using the CatBoost algorithm, trained on socioeconomic data and raster images processed via Google Earth Engine. The prediction results were combined with environmental factors such as air pollution, vegetation cover, and carbon emissions to generate an investment potential score. This process was implemented through ETL (Extract, Transform, Load) stages and visualized in an interactive dashboard designed to assist policymakers in making data-driven decisions. The system provides a transparent, measurable, and efficient method to prioritize strategic regions for sustainable financing
Item Type: | Thesis (Tugas Akhir) |
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Additional Information: | [No. Panggil: 2210501077] [Pembimbing: Erly Krisnanik] [Penguji 1: Iin Ernawati] [Penguji 2: Zatin Niqotaini] |
Uncontrolled Keywords: | Power BI, Green Financing, Satellite Imagery, Poverty Index, CatBoost |
Subjects: | Q Science > QB Astronomy Q Science > QE Geology T Technology > T Technology (General) T Technology > TD Environmental technology. Sanitary engineering |
Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (DIII) |
Depositing User: | MOHAMMAD HERVIN ABYDZAR HAKIM |
Date Deposited: | 07 Sep 2025 12:48 |
Last Modified: | 07 Sep 2025 12:48 |
URI: | http://repository.upnvj.ac.id/id/eprint/37931 |
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