Identifikasi Permukiman Kumuh Menggunakan Citra Unmanned Aerial Vehicle dan Object Based Image Analysis di Kecamatan Medan Belawan, Kota Medan

Mutia Sari Hutabarat; Achmad Siddik Thoha; Charloq

Authors

Mutia Sari Hutabarat Universitas Sumatera Utara Author
Achmad Siddik Thoha Universitas Sumatera Utara Author
Charloq Universitas Sumatera Utara Author

Keywords:

Pemetaan, Unmanned Aerial Vehicle (UAV), Object Based Image Analysis (OBIA), Medan Belawan

Abstract

Slum problems in coastal areas such as Medan Belawan Sub-district, Medan City, require accurate spatial data to support effective intervention planning. The absence of detailed base maps is often a major obstacle. This research aims to produce high accuracy slum maps using the integration of Unmanned Aerial Vehicle (UAV) technology and Object Based Image Analysis (OBIA) method. Aerial photography data was acquired using a UAV over a study area of 62.60 Ha, producing an orthomosaic with a spatial resolution of 2.90 cm/pixel. This data was then analyzed using OBIA with classification parameters including object height, shape, texture, and spatial association to identify three main classes: Slum, Non-Slum, and Non-Settlement. This study proves that the integration of UAV and OBIA is a highly effective and reliable method for accurately mapping slums in complex coastal environments, providing a solid basis for local governments in their zoning programs.

Author Biography

Mutia Sari Hutabarat, Universitas Sumatera Utara

Perencanaan Pembangunan Wilayah dan Pedesaaan

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