// <![CDATA[PENGEMBANGAN APLIKASI VISUALISASI URBAN HEAT ISLAND, NORMALIZED DIFFERENCE VEGETATION INDEX, DAN NORMALIZED DIFFERENCE WATER INDEX MENGGUNAKAN GOOGLE EARTH ENGINE]]> 0412017610 - Dr. Soni Darmawan, S.T., M.T. Dosen Pembimbing 1 RIFA FARUQ HIDAYAT / 23-2021-049 Penulis
Urbanisasi memicu fenomena Urban Heat Island (UHI) yang memerlukan alat pantau geospasial terintegrasi untuk menganalisis dampaknya terhadap vegetasi dan ketersediaan air. Penelitian ini bertujuan mengembangkan aplikasi visualisasi berbasis Google Earth Engine (GEE) untuk memantau Urban Heat Island (UHI), Normalized Difference Vegetation Index (NDVI), dan Normalized Difference Water Index (NDWI) di seluruh Indonesia. Aplikasi ini dikembangkan menggunakan data citra MODIS dan dirancang berdasarkan survei kebutuhan pengguna. Pengembangan utamanya mencakup penambahan data NDVI dan NDWI serta fitur urban heat area calculation. Selain itu, beberapa fitur yang telah ada seperti slider, chart, click on map, dan data selection turut disesuaikan untuk mengakomodasi integrasi kedua data tambahan tersebut. Evaluasi kelayakan yang dilakukan melalui metode System Usability Scale (SUS) dengan 30 responden menunjukkan bahwa aplikasi berhasil memvisualisasikan ketiga indeks secara interaktif. Dengan skor SUS mencapai 82,2 (setara Grade A atau “Best Imaginable”), aplikasi ini terhitung sangat layak dan efektif. Disimpulkan bahwa platform ini dapat menjadi sarana pendukung pengambilan keputusan kedalam perencanaan tata ruang kota dan upaya mitigasi dampak perubahan iklim di Indonesia kedepannya Urbanization triggers the Urban Heat Island (UHI) phenomenon, which necessitates an integrated geospatial monitoring tool to analyze its impact on vegetation and water availability. This research aims to develop a visualization application based on Google Earth Engine (GEE) to monitor the Urban Heat Island (UHI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI) across Indonesia. The application was developed using MODIS satellite imagery and designed based on a user needs survey. Key developments included the addition of NDVI and NDWI data and a urban heat area calculation feature. Furthermore, existing features such as the slider, chart, click-on-map, and data selection were adjusted to accommodate the integration of these two additional datasets. A usability evaluation, conducted using the System Usability Scale (SUS) with 30 respondents, demonstrated that the application successfully visualizes all three indices interactively. Achieving an SUS score of 82.2 (equivalent to a Grade A or “Best Imaginable”), the application is considered highly feasible and effective. It is concluded that this platform can serve as a powerful decision-support tool for future urban spatial planning and climate change mitigation efforts in Indonesia