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All Journal SAINS DAN MATEMATIKA YOUNGSTER PHYSICS JOURNAL Journal of Physics and Its Applications
Rr. Tony Yulianto
Departemen Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro, Semarang
Astronomy Earth & Planetary Sciences Materials Science & Nanotechnology Mathematics Physics

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IDENTIFIKASI BIDANG GELINCIR PEMICU TANAH LONGSOR DENGAN METODE RESISTIVITAS 2 DIMENSI DI DESA TRANGKIL SEJAHTERA KECAMATAN GUNUNGPATI SEMARANG Arga Brahmantyo; Tony Yulianto
Youngster Physics Journal Vol 3, No 2 (2014): Youngster Physics Journal April 2014
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.65 KB)

Abstract

Landslides was happened by landslide surface. Landslides Identification of landslide surface using dipole-dipole array geoeletrical  resistivity 2D method has been conducted at Trangkil Sejahtera Sukorejo Village Gunungpati Regency Semarang. Interpretation of subsurface structure showed in 2D.            Field data has processed using RES2DINV program which gives stones resistivity distribution and depth of layers as a result. The result of RES2DINV is entered to CorelDraw to obtain 3D section. Landslide surface has detected by CorelDraw  result’s.            The interpretation show that at Perumahan Trangkil Sejahtera lithology consist of four layers i.e. sandstone, clay/lanau, wet clay, and topsoil. Slip surface was located on lanau/wet clay layers with resistivity 0,492-9,11 Ωm and dept of layers 2,65-6,47 m. Type landslides research area is kind of translational and rotational slides.Key words : Geoeletrical resistivity 2D, landslide surface, Trangkil Sejahtera, dipole-dipole, RESD2INV
Identification of low resistivity layers in the “N” geothermal field using 2D magnetotelluric inversion modelling Nabil Bawahab; Udi Harmoko; Tony Yulianto; Irvan Ramadhan
Journal of Physics and Its Applications Vol 2, No 2 (2020): May 2020
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v2i2.7532

Abstract

Magnetotelluric research in the “N” geothermal field has been carried out to see the subsurface detail in the “N” geothermal field. 2D inversion model is generated by secondary data from magnetotelluric data collection in the form of time series data to become 2D models. Magnetotellurics method is used to identify geothermal system components, especially identifying layers with low resistivity values (2 Ω.m - 10 Ω.m) or also called as the cap rock which is seen with a very contrasting color difference compared to the surrounding layers. There are manifestations on the “N” geothermal field which reinforce the assumption that there is a geothermal system in this area. This research begins by processing time series data to become apparent resistivity and phase data. Time series data processing in this study uses several processing methods to produce better apparent resistivity and phase data. The final result of this study is a 2D model that illustrates the contour of the resistivity value of rocks laterally or vertically. 2D model interpretation in this study identified the cap rock layer with low resistivity distribution (2 Ω.m - 10 Ω.m), the medium resistivity zone identified as the reservoir layer (11 Ω.m - 70 Ω.m), and the resistive zone which has high resistivity value (more than 70 Ω.m).
Identification of "WS" geothermal field system by analyzing TE, TM, and TE-TM of 2D magnetotelluric inversion models Triana Triana; Tony Yulianto; Udi Harmoko; Iqbal Takodama
Journal of Physics and Its Applications Vol 1, No 2 (2019): May 2019
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v1i2.4660

Abstract

Magnetotelluric data has been carried out at the "WS" geothermal field to analyze the resistivity model resulting from 2D inversion of magnetotelluric data in TE, TM and TE-TM modes. Base on the three models produced, the mode is determined to produce the most representative model to assist in the interpretation of the "WS" geothermal system. There is a step of modes separation, namely TE (Tranverse Electric) and TM (Transverse Magnetic) modes in processing MT data. Each mode produces a 2D model with different conductivity properties. The analysis results of the three modes explain that TE mode is dominated by low resistivity with a range of values of 10-35 Ωm and medium resistivity with a value range of 35-250 Ωm and a vertical resistivity contrast. The TM mode describes the high resistivity in the Southwest and the center of the track with a value of more than 470 sehinggam resulting in lateral resistivity contrast. While the TE-TM mode produces a model that is not much different from TM mode, only the distribution of the resistivity value is a combination with TE mode. This mode describes the distribution of resistivity both vertically and laterally. Based on the analysis of the three modes, it can be concluded that the TE-TM mode is the mode that produces the most representative model. Interpretation model shows that from the TE-TM mode we have a low resistivity distribution (10-35 Ωm) represent a cap rock zone, reservoir rock with a medium resistivity distribution (35-380 Ωm), resistive zone with a high resistivity distribution (more than 380 Ωm), and the existence of the three of faults structures ro be a controller system of the "WS" geothermal.
Co-Authors Alifa Rusyda Arga Brahmantyo Aspia Prapitari Aufi Maslihah Umamii Dadan Dani Wardhana Dewi Wijayanti Dhana Hastuti Diny Agustina Rahayu Dita Destyanti Dwiyanto Joko Suprapto Eddy Z Gaffar Fajar Waskito Gatot Yulianto Gian Antariksa Hernowo Danusaputro Hiskia Anggit Maulana Iis Nur Jannah Iqbal Takodama Irfan Roismanto Irvan Ramadhan Kusworo Adi Laela Fitria M. Irtem Nurwidyanto Mars Widodo Muhammad Ulin Nuha ABA Nabil Bawahab Pertiwi Pertiwi Putri Nuriskianti Seftyand S Briyantara Siti Zulaikhah Sugeng Widada Tabitha Abid Ardaneswari Thomas Triadi Putranto, Thomas Triadi Titi Anggono Triana Triana Udi Harmoko Yusuf Dewantoro Herlambang