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"Next generation ground motion prediction models use shear-wave velocity over the top 30 m of subsoil (VS30) as an important assessment parameter of seismic ground surface motion. VS30 can be measured using invasive methods, such as boreholes, or non-invasive methods, such as multichannel analysis of surface waves (MASW). To evaluate this technique in a variety of near-surface conditions, MASW-derived shear-wave velocity profiles (s-wave velocity vs. depth) were statistically compared to direct borehole measurements from three locations of Merapi sediment found on the Universitas Muhammadiyah Yogyakarta (UMY) campus site. A detailed study of the effect from the total number of recording channels of MASW, sampling intervals, source offset, and receiver spacing was conducted near the borehole test site. The soil was classified as a medium soil or SD. The MASW method, which is non-destructive and non-invasive in nature and relatively faster in assessment, provides more reliable shear-wave velocity profiles, i.e. from 0 to 30 meters below the ground surface."

"Penelitian ini dilakukan untuk mengidentifikasi jenis tanah bawah permukaan pada lokasi penelitian serta memanfaatkan informasi tersebut untuk mengetahui zona layak bangunan pada lokasi penelitian. Penelitian ini menggunakan metode seismik refraksi dan MASW. Data yang digunakan adalah data Vp₃₀ dan Vs₃₀ untuk mendapatkan poisson ratio pada kedalaman rata-rata 30 meter. Data ini merupakan hasil dari pengukuran yang dilakukan di 14 titik di sekitar Universitas Indonesia. Hasil pengolahan data Vp₃₀ dan Vs₃₀ dihitung dengan menggunakan rasio Vp₃₀/Vs₃₀ dan menghasilkan nilai poisson ratio yang diinterpolasi untuk identifikasi jenis tanah. Dari hasil pengolahan dan analisis terdapat perbedaan nilai poisson ratio di wilayah utara dan selatan Universitas Indonesia, yaitu di wilayah utara memiliki nilai poisson ratio sebesar 0.38 – 0.41 dan di wilayah selatan memiliki nilai poisson ratio sebesar 0.41 – 0.45. Dari hasil tersebut dapat diprediksi bahwa di wilayah utara Universitas Indonesia memiliki jenis tanah yang lebih keras dibandingkan jenis tanah di wilayah selatan Universitas Indonesia.

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This research was conducted to identify the types of subsurface soil at the research site and utilize this information to determine suitable building zones at the research location. The study employed seismic refraction and MASW methods. The data used included Vp₃₀ and Vs₃₀ data to obtain the Poisson's ratio at an average depth of 30 meters. These data is the result of measurements taken at 14 points around Universitas Indonesia. The Vp₃₀ and Vs₃₀ data processing results are calculated using the Vp₃₀/Vs₃₀ ratio and produce Poisson's ratio values that are interpolated to identify soil types. The analysis revealed differences in Poisson's ratio values between the northern and southern regions of the University of Indonesia. In the northern region, the Poisson's ratio ranged from 0.38 to 0.41, while in the southern region, it ranged from 0.41 to 0.45. From these results, it can be predicted that the northern region of the University of Indonesia has harder soil types compared to the southern region."