Cholidy, M Thoriq (2021) Penentuan Lokasi Rawan Longsor Menggunakan Flower Pollination Algorithm Pada Data Self Potential (Studi Kasus: Dusun Brau, Desa Gunungsari, Kecamatan Bumiaji, Kota Batu Jawa Timur). Undergraduate thesis, Institut Teknologi Sepuluh Nopember Surabaya.
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Abstract
Dusun Brau merupakan salah satu dusun di Kota Batu yang sering mengalami tanah longsor dan berada di Formasi Batuan Gunungapi Anjasmara Tua bersatuan breksi, tuf, lava dan lahar. Batuan ini umumnya bersifat permeabel dan mudah mengalami pergeseran. Tanah longsor yang terjadi di Dusun Brau diakibatkan oleh saturasi air yang berlebihan. Data self potential (SP) yang ditapis menggunakan metode Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) serta diinversi menggunakan Flower Pollination Algorithm (FPA) digunakan untuk memberikan informasi terkait sumber anomali di bawah permukaan menggunakan asumsi model geometri sederhana (badan ideal). Posisi anomali di 91,60 ± 0,00 m dengan kedalaman 5,71 ± 0,00 m hasil inversi SP yang dibandingkan dengan inversi VLF-EM pada Lintasan 3 (90-100 m) menunjukkan anomali bersumber dari saturasi air pada kedalaman dangkal yang merupakan penyebab tanah longsor di daerah penelitian. Selanjutnya, lokasi rawan longsor di Dusun Brau ditentukan oleh posisi 27 anomali dari hasil inversi SP, yang umumnya memiliki kedalaman yang dangkal
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Dusun Brau is one of the villages in Batu City that often occurs in landslides which located in the Old Anjasmara Volcanic Rock Formation consist of combines breccia, tuff, lava, and volcanic mudflow. These rocks are generally permeable and easy to shift. The landslide that occurred in Dusun Brau was caused by excessive water saturation. The self-potential (SP) data was filtered using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and inverted using the Flower Pollination Algorithm (FPA) was used to provide information regarding the source of anomalies below the surface using the assumption of a simple geometry model (ideal body). The position of anomaly at 91,60 ± 0,00 m with a depth 5,71 ± 0,00 m as a result of SP inversion compared to VLF-EM inversion on Line 3 (90-100 m) indicates the anomaly stems from water saturation at shallow depths is the cause of landslide-prone location in study area. Furethermore, the landslide-prone location in Dusun Brau is determining by position of 27 anomalies from SP inversion results, which generally have shallow depths
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Badan ideal, CEEMDAN, Flower Pollination Algorithm, Self Potential, Tanah longsor Ideal body, CEEMDAN Flower Pollination Algorithm, Self Potential, Landslide. |
| Subjects: | G Geography. Anthropology. Recreation > GB Physical geography > GB1197.7 Groundwater flow. Reservoirs H Social Sciences > HV Social pathology. Social and public welfare > HV551.5.I4 Hazard mitigation Q Science Q Science > QA Mathematics > QA9.58 Algorithms Q Science > QC Physics Q Science > QE Geology > QE599 Landslides. Rockslides T Technology > TN Mining engineering. Metallurgy > TN269 Prospecting--Geophysical methods |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | M THORIQ CHOLIDY |
| Date Deposited: | 23 Aug 2021 06:44 |
| Last Modified: | 23 Aug 2021 06:44 |
| URI: | http://repository.its.ac.id/id/eprint/88877 |
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