Particle Motion Analysis Data Mikrotremor Untuk Menentukan Potensi Longsor (Studi Kasus: Jalan Raya Trenggalek-Ponorogo KM 23)

Lestari, Silvia (2018) Particle Motion Analysis Data Mikrotremor Untuk Menentukan Potensi Longsor (Studi Kasus: Jalan Raya Trenggalek-Ponorogo KM 23). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kabupaten Ponorogo merupakan daerah berpotensi longsor karena kondisi geologinya yang didominasi batuan breksi vulkanik dan batuan tuff serta memiliki banyak bukit dan lereng. Metode mikrotremor digunakan untuk menganalisa potensi longsor di daerah tersebut, terutama Jalan Raya Trenggalek-Ponorogo KM 23. Untuk mengetahui potensi longsor ini, data mikrotremor dianalisa menggunakan PCA (Principal Component Analysis). Parameter-parameter PCA yang didapatkan meliputi sudut dip, sudut azimuth, rectilinearity, nilai Eigen tertinggi, koefisien korelasi, dan magnitude horizontal. Selanjutnya parameter-parameter ini dikorelasikan dengan parameter indeks kerentanan seismik (Kg). Hasilnya yaitu parameter rectilinearity (L) dapat digunakan untuk mengidentifikasi potensi longsor yang berkorelasi dengan parameter indeks kerentanan seismik (Kg). Pada daerah penelitian terdapat lima lokasi yang memiliki nilai rectilinearity tinggi dan berkorelasi dengan indeks kerentanan seismik. ======================================================================================================= Ponorogo district is prone-landslide area cause of geological condition that consist of volcanic breccia and tuff stones, and have many hills and slopes. Microtremor method is able to investigate landslide at Ponorogo district, especially Ponorogo-Trenggalek KM 23 street. For landslide investigation, three-components microtremor data is analyzed using PCA (Principal Component Analysis). PCA parameters consist of dip degree, azimuth degree, rectilinearity, highest Eigenvalue, correlation coefficient, amd horizontal magnitude. These parameters is compared with soil vulnerability index (Kg). From PCA, is known that rectilinearity parameter is able to investigate lanslide which is strong correlated with soil vulnerability index (Kg) parameter. There are five locations which are landslide-prone from high rectilinearity and high soil vulnerability index, based on geological condition.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Getaran, longsor, mikrotremor, particle motion, rectilinearity
Subjects: Q Science > QC Physics
T Technology > TA Engineering (General). Civil engineering (General) > TA710 Soil stabilization
Divisions: Faculty of Mathematics and Science > Physics > (S1) Undergraduate Theses
Depositing User: Silvia Lestari
Date Deposited: 12 Apr 2018 04:12
Last Modified: 12 Apr 2018 04:12
URI: http://repository.its.ac.id/id/eprint/50714

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