Skripsi

PERBANDINGAN METODE SUPERVISED CLASSIFICATION DAN UNSUPERVISED CLASSIFICATION UNTUK IDENTIFIKASI TUTUPAN LAHAN GAMBUT MENGGUNAKAN CITRA LANDSAT-8 (Studi kasus: KHG Sungai Sugihan-Sungai Lumpur, Sumatera Selatan)

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Penilaian

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COMPARISON of SUPERVISED CLASSIFICATION and UNSUPERVISED CLASSIFICATION METHODS for IDENTIFYING PEATLAND COVER USING LANDSAT-8 IMAGERY (Case Study: KHG Sungai Sugihan-Sungai Lumpur, South Sumatera) By: Soni Tania 08021282126047 ABSTRACT The peatland area in the Sungai Sugihan–Sungai Lumpur region is one of the largest peatland zones in South Sumatra, covering approximately 636,000 hectares. It plays a crucial role in the ecosystem and the management of natural resources. Land cover changes caused by human activities, such as land clearing for agriculture, have led to a decline in the ecological function of the peatlands. This study compares land cover classification results using supervised and unsupervised classification methods based on 2024 Landsat-8 imagery. The classification results show that the largest land cover class is shrubland, covering approximately 223,555.1 hectares (35.3%), spread across the northern to southeastern areas of the region; followed by plantation areas, covering 228,732.0 hectares (36.1%), primarily located in the northern and eastern parts; and forested areas, covering 99,871.2 hectares (15.8%), concentrated in the central to northern areas. The accuracy level of the supervised classification method reached 88%, which is higher than the unsupervised classification method, which achieved 70%. Therefore, the supervised classification method is considered more suitable for mapping peatland cover in the region. These findings are expected to support the sustainable management and conservation of the peatland ecosystem. Keywords: Peatland, Land Cover, Supervised Classification, Unsupervised Classification, Landsat-8, Accuracy Assessment.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507004755	T180332	T1803322025	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1803322025

Publisher

Indralaya : Prodi Ilmu Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2025

Collation

xii, 34 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

577.680 7

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

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Subject(s)

Prodi Ilmu Fisika
Ekologi lahan gambut

Specific Detail Info

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Statement of Responsibility

MURZ

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