KLASIFIKASI HABITAT BENTIK BERBASIS PIKSEL DAN OBIA MENGGUNAKAN CITRA SENTINEL-2 DI PERAIRAN PULAU KELAPA DUA, KEPULAUAN SERIBU, JAKARTA

PRIYANTO, RAIHAN PRAMADIPA and Hartoni, Hartoni (2025) KLASIFIKASI HABITAT BENTIK BERBASIS PIKSEL DAN OBIA MENGGUNAKAN CITRA SENTINEL-2 DI PERAIRAN PULAU KELAPA DUA, KEPULAUAN SERIBU, JAKARTA. Undergraduate thesis, Sriwijaya University.

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Abstract

Kelapa Dua Island, located in the Seribu Islands Regency, DKI Jakarta, has benthic habitat areas that can be utilized by the island community. Efforts to map benthic habitat areas utilizing remote sensing using Sentinel Satellite Imagery can show the distribution of benthic habitats. This study aims to determine the ability of satellite images using pixel-based classification and Object Based Image Analysis (OBIA) based classification with algorithms. The identification results using Maximum likelihood classification (MLC), Supported Vector Machine (SVM) and Decision Tree (DT) on Kelapa Dua Island are categorized into 4 classes, namely coral reef, sand, rubble and seagrass. The best accuracy value is obtained by using OBIA classification with Supported Vector Machine with a value of 66%.

Item Type:	Thesis (Undergraduate)
Subjects:	Q Science > Q Science (General) > Q1-295 General
Divisions:	08-Faculty of Mathematics and Natural Science > 54241-Marine Science (S1)
Depositing User:	Raihan Pramadipa Priyanto
Date Deposited:	20 Aug 2025 02:58
Last Modified:	20 Aug 2025 02:58
URI:	http://repository.unsri.ac.id/id/eprint/183038

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