ANALISIS SPASIAL WILAYAH RAWAN TANAH LONGSOR KABUPATEN PEKALONGAN TAHUN 2019-2025

MOHAMMAD ALEXANDER AGUNG PUTERA GUSTAF, . (2026) ANALISIS SPASIAL WILAYAH RAWAN TANAH LONGSOR KABUPATEN PEKALONGAN TAHUN 2019-2025. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan menganalisis dan membandingkan tingkat potensi tanah longsor di Kabupaten Pekalongan menggunakan metode Stability Index Mapping (SINMAP) dan Slope Morphology (SMORPH), serta mengkaji kaitan parameter aspect, Topographic Ruggedness Index (TRI), dan Topographic Wetness Index (TWI) terhadap distribusi potensi longsor. Penelitian menggunakan pendekatan kuantitatif deskriptif berbasis Geographic Information Systems (GIS) dengan memanfaatkan data curah hujan, Digital Elevation Model (DEM), jenis tanah, dan data kejadian longsor tahun 2019–2025. Hasil penelitian menunjukkan bahwa metode SMORPH didominasi kelas potensi rendah sebesar 79,92%, sedangkan metode SINMAP didominasi kelas stabil sebesar 46,36% dan potensi rendah sebesar 48%. Kedua metode menghasilkan pola distribusi yang relatif serupa, dengan potensi longsor sedang terkonsentrasi di wilayah selatan, terutama Kecamatan Petungkriyono, Lebakbarang, Paninggaran, Kandangserang, dan Doro, yang didominasi topografi berbukit dan lereng curam. Hasil validasi menggunakan confusion matrix menunjukkan bahwa metode SINMAP memiliki performa lebih baik dengan nilai accuracy 66,67%, precision 62,96%, recall 85%, dan F1-score 72,34%, sedangkan metode SMORPH memperoleh accuracy 58,97%, precision 100%, recall 20%, dan F1-score 33,33%. Analisis parameter topografi menunjukkan bahwa TRI merupakan parameter yang paling erat kaitannya terhadap distribusi potensi longsor. Berdasarkan hasil tersebut, metode SINMAP lebih direkomendasikan untuk pemetaan potensi longsor dan mendukung upaya mitigasi bencana, sedangkan metode SMORPH lebih sesuai sebagai informasi pendukung dalam perencanaan tata ruang dan identifikasi wilayah yang relatif stabil. ***** This study aims to analyze and compare landslide susceptibility in Pekalongan Regency using the Stability Index Mapping (SINMAP) and Slope Morphology (SMORPH) methods, as well as to examine the relationship between aspect, the Topographic Ruggedness Index (TRI), and the Topographic Wetness Index (TWI) and the spatial distribution of landslide susceptibility. This research employed a descriptive quantitative approach based on Geographic Information Systems (GIS) using rainfall, Digital Elevation Model (DEM), soil type, and landslide inventory data from 2019–2025. The results indicate that the SMORPH method was dominated by the low susceptibility class (79.92%), while the SINMAP method was dominated by the stable class (46.36%) and the low susceptibility class (48%). Both methods produced relatively similar spatial distribution patterns, with the moderate susceptibility class concentrated in the southern part of Pekalongan Regency, particularly in Petungkriyono, Lebakbarang, Paninggaran, Kandangserang, and Doro, where hilly topography and steep slopes predominate. Validation using a confusion matrix showed that the SINMAP method achieved better performance, with an accuracy of 66.67%, precision of 62.96%, recall of 85%, and an F1-score of 72.34%, whereas the SMORPH method obtained an accuracy of 58.97%, precision of 100%, recall of 20%, and an F1-score of 33.33%. Analysis of the topographic parameters revealed that TRI was the parameter most strongly associated with the distribution of landslide susceptibility. Based on these findings, the SINMAP method is more suitable for landslide susceptibility mapping and disaster mitigation planning, while the SMORPH method is more appropriate as supporting information for spatial planning and the identification of relatively stable areas.

Item Type:	Thesis (Sarjana)
Additional Information:	1).Prof.Dr.Muzani Jalaluddin,Dipl,Geo.M.Si.; 2).Tri Wandi Januar,S.Pd,.M.Sc,.Ph.D.
Subjects:	Geografi, Antropologi > Geografi Geografi, Antropologi > Geografi Fisik
Divisions:	FIS > S1 Geografi
Depositing User:	Mohammad Alexander Agung Putera Gustaf .
Date Deposited:	05 Aug 2026 02:07
Last Modified:	05 Aug 2026 02:07
URI:	http://repository.unj.ac.id/id/eprint/68519

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