FOREX Press I. J. of Electrical & Electronics Research
Support Open Access

Research Article |

Optimizing Current Injection Technique for Enhancing Resistivity Method

Author(s): Sifa Nurpadillah, Willy Anugrah Cahyadi, Husneni Mukhtar*, Kusnahadi Susanto, Akhmad Fauzi Ikhsan and Agung Ihwan Nurdin

Publisher : FOREX Publication

Published : 05 February 2024

e-ISSN : 2347-470X

Page(s) : 99-110




Sifa Nurpadillah, Department of Electrical Engineering, Universitas Garut, Indonesia

Willy Anugrah Cahyadi, School of Electrical Engineering, Telkom University, Indonesia

Husneni Mukhtar*, School of Electrical Engineering, Telkom University, Indonesia; Email: husnenimukhtar@telkomuniversity.ac.id

Kusnahadi Susanto, Department of Geophysics, Faculty of Mathematics and Natural Sciences, Padjadjaran University, Indonesia

Akhmad Fauzi Ikhsan, Department of Electrical Engineering, Universitas Garut, Indonesia

Agung Ihwan Nurdin, Department of Electrical Engineering, Universitas Garut, Indonesia

    [1] Kirsch, R.; Yaramanci, U. Geoelectrical methods. Groundwater Geophysics. Springer, Berlin, Heidelberg, 2006, ISBN 978-3-540-29383-5.
    [2] Rolia, E.; Sutjiningsih, D. Application of geoelectric method for groundwater exploration from surface (A literature study). AIP Conf. Proc., 2018, 1977, p.020018. [CrossRef]
    [3] Feranie, S; Putri, A.P.W; Handiman, A.K.P; Tohari, A. Recent development in the use of geoelectric resistivity for landslide surveys: an overview, Gravity J., 2023, 9, p. 130-143.
    [4] Yohandri, M; Akmam, Development of a Digital Resistivity Meter Based on Microcontroller. TENCON IEEE Region 10 Conference, 2018, pp. 0551-0554. [CrossRef]
    [5] Adler, J.; Ginting, S. L. B.; Abdullah, A. R. A.; Akhbar, A. The Design of Resistivity Tool for Subsurface Based on Microcontroller. IOP Conf. Ser.: Mater. Sci. Eng., 2018, 407, p012123. [CrossRef]
    [6] Widodo, W; Lapanporo, B. P.; Jumarang, M. I. Rancang Bangun Alat Geolistrik Berbasis Arduino Mega2560. Phys. Commun., 2018, 2, pp. 52–62.
    [7] Huda, F; Harmadi, H; Pohan, A. F. Prototipe Rancang Bangun Alat Geolistrik Menggunakan Arduino Uno R3 dan Transceiver nRF24L01+. J. Fis. Unand, 2021, 10, pp. 435–444. [CrossRef]
    [8] Irianto, E. A. Rancang bangun Resistivity Meter Digital dengan Metode Four Point Probe untuk Menentukan Hambatan Jenis Tanah. Jurnal Fisika, 2014, 3, pp. 96–99.
    [9] Kutbay, U; Hardalaç, F. Development of a multiprobe electrical resistivity tomography prototype system and robust underground clustering. Expert Syst., 2017, 34, p12206. [CrossRef]
    [10] de la Vega, M.; Bongiovanni, M. V. et.al. Design of a Low‐Cost Electrical Resistivity Meter for Near Surface Surveys,” Earth Sp., 2021, 8. [CrossRef]
    [11] únior, A. O. C.; Pontes-Neto C. F. Design and construction of an automated and programmable resistivity meter for shallow subsurface investigation. Methods Data J., 2022, [CrossRef]
    [12] Fatahillah, D; Nuryani, N. Low-cost multi electrode resistivity meter based on microcontroller for electric resistivity tomography purpose. J. Phys. Conf., 2019, 1153, pp. 1742-6596. [CrossRef]
    [13] Ivansyah, O; Nurhasanah, N; Saniah, S. Disain Perangkat Geolistrik Untuk Kegiatan Geofisika Pertanian (Aplikasi Pada Lahan Gambut Kalimantan Barat). SEMIRATA, 2015, pp. 326–355.
    [14] Lu, D. Imaging and characterization of the preferential flow process in agricultural land by using electrical resistivity tomography and dual-porosity model. Ecol. Indic., 2022, 134, p. 108498. [CrossRef]
    [15] Prasetia, A. M; Aidil, R; Faizal, R. Penggunaan Resistivity Meter Berbasis Boost converter Untuk Identifikasi Batuan Dasar Pancang Pondasi Bangunan di Pulau Tarakan. Borneo Eng. J., 2018, 2, pp. 127-136. [CrossRef]
    [16] Radzicki, K; Gołębiowski, T; Ćwiklik, M; Stoliński, M. A new levee control system based on geotechnical and geophysical surveys including active thermal sensing: A case study from Poland. Eng. Geol., 2021, 293, 106316. [CrossRef]
    [17] Elkafrawy, S. B; Fattah, T. A; Naiel, T; et.al. Environmental and site characterization investigations using remote sensing and geophysical techniques-a case from Nabq, Gulf of Aqaba, Sinai, Egypt. Remote Sensing Applications: Society and Environment, 2021, 24, 100653. [CrossRef]
    [18] Raji, W. O; Adedoyin, A. D. Dam safety assessment using 2D electrical resistivity geophysical survey and geological mapping. J. King Saud Univ., 2020, 32, pp. 1123-1129. [CrossRef]
    [19] Martin, T. Geophysical Exploration of a Historical Stamp Mill Dump for the Volume Estimation of Valuable Residues. J. Environ. Eng. Geophys., 2020, 25, pp. 275–286. [CrossRef]
    [20] Harja, A.; Ma’arif M, F. R.; Nanda, M. D.; Duvanovsky, D. A.; Tangke, R.; Susanto, K. Studi Hidrogeofisika Gunung Malabar Sebagai Gunung Tertinggi pada Sistem Hidrologi Cekungan Bandung. Jurnal Geologi Dan Sumberdaya Mineral, 2021, 22, 223. [CrossRef]
    [21] Rahmani, T. R. Using the Schlumberger configuration resistivity geoelectric method to analyze the characteristics of slip surface at Solok. Journal of Physics: Conference Series, 2020, 1481, 102030. [CrossRef]
    [22] Zhang, P.; Binyang, S. U. N.; Yuan, H. et.al. Artificial intelligence detection system for deep-buried fuel gas pipeline leakage. US Pat. App. 16, 2021.
    [23] Pardo-Igúzquiza, E.; Dowd, P. A; Ruiz-Constán, A. et.al. Epikarst mapping by remote sensing. Catena J., 2018, 165, pp. 1-11. [CrossRef]
    [24] Raji W. O.; Bale, R. B. 2D electrical resistivity imaging of tantalite-bearing veins in Kaiama, Nigeria. NRIAG J. Astron. Geophys., 2022, 11, pp. 306-312. [CrossRef]
    [25] Conaway, C. H. Permafrost Mapping with Electrical Resistivity Tomography: A Case Study in Two Wetland Systems in Interior Alaska. J. Environ. Eng. Geophys., 2020, 25, pp. 199–209. [CrossRef]
    [26] Tjiongnotoputera, K. D. Analytical comparison of electrode configuration on 2D geoelectric method for identification of water seepage in the lake body,” Journal of Physics: Conference Series, 2021, 1825. [CrossRef]
    [27] Raji, W.O. Evaluation of groundwater potential of bedrock aquifers in Geological Sheet 223 Ilorin, Nigeria, using geo-electric sounding. Appl. Water Sci., 2020, 10, 1007. [CrossRef]
    [28] Rey, J.; Martínez, J.; Mendoza, R.; Sandoval, S.; Tarasov, V.; Kaminsky, A.; Hidalgo, M.C.; Morales, K. Geophysical Characterization of Aquifers in Southeast Spain Using ERT, TDEM, and Vertical Seismic Reflection. Appl. Sci. 2020, 10, 7365. [CrossRef]
    [29] Youssef, M. A. S. Geoelectrical analysis for evaluating the groundwater characteristics of wadi El Madamud Area, Southeast Luxor, Egypt. J. Taibah Univ. Sci., 2020, 14, pp. 1514–1526. [CrossRef]
    [30] Nayel, M.; Lu, B.; Tian, Y; Zhao, Y. Study of Soil Resistivity Measurements in Vertical Two-Layer Soil Model. Asia-Pacific Power and Energy Engineering Conference, APPEEC, 2012, 6307337. [CrossRef]
    [31] Susanto, K; Azzam, M. Z; Syarafina, Z. N; Kirana, K. H; Dharmawan, I. A; Harja, A. Investigasi Lapisan Batuan Kawasan Pendidikan Universitas Padjadjaran Jatinangor Bagian Utara Berdasarkan Electrical Resistivity Tomography (ERT). Bulletin of Scientific Contribution: Geology, 2023, 21, pp. 61–70.
    [32] Indarto, B; Sudenasahag, G. R. E; Rahmad, D. B. Rancang Bangun Sistem Pengukuran Resistivitas Geolistrik dengan menggunakan Sumber Arus Konstan,” Jurnal Fisika dan Aplikasinya, 2016, 12, pp. 83-89. [CrossRef]
    [33] Malik, P; Gehlot, A; Singh, R; Gupta, L. R. A review on ANN based model for solar radiation and wind speed prediction with real-time data. Computational Methods in Engineering, 2022, 29, p.3183. [CrossRef]
    [34] Pradhan, N.R; Singh, A.; Verma, S. A blockchain-based lightweight peer-to-peer energy trading framework for secured high throughput micro-transactions,” Sci Rep, 2022, 12, 14523. [CrossRef]
    [35] Hamdani, H; Pulungan, A. B; D. E. Myori. Real Time Monitoring System on Solar Panel Orientation Control Using Visual Basic. Journal of Applied Engineering and Technological Science, 2021. 2, pp 112-124. [CrossRef]
    [36] Lange, E. O; Jose, J. M; Benedict, S; Gerndt, M. Automated Energy Modeling Framework for Microcontroller-based Edge Computing Nodes. Communications in Computer and Information Science, 2022. pp. 422–437. [CrossRef]
    [37] M. H. Qahtan, E. A. Mohammed, and A. J. Ali, “IoT-based electrical vehicle’s energy management and monitoring system,” Open Access Library Journal. 2022. pp. 1-15. [CrossRef]
    [38] Shahid, T; Gouwanda, D; Nurzaman, S. G. Development of an electrooculogram-activated wearable soft hand exoskeleton,” 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Langkawi Island, Malaysia, 2021. pp. 433-438. [CrossRef]
    [39] Helal, A. A; Villaça, R. S; Santos, C. A. S. An integrated solution of software and hardware for environmental monitoring. Internet of Things, 2022, 19, p.100518. [CrossRef]
    [40] Jooss, Y; Rønning, E. B; Hearst, R. J; Bracchi, T. Influence of position and wind direction on the performance of a roof mounted vertical axis wind turbine, Journal of Wind Engineering, 2022, 230, p.105177. [CrossRef]
    [41] Kang, M; Joe, S; An, T; Jang, H; Kim, B. A novel robotic colonoscopy system integrating feeding and steering mechanisms with self-propelled paddling locomotion: A pilot study,” Mechatronics, 2021, 73. [CrossRef]
    [42] Schultz, J. T; Beck, H. K; Haagensen, T. Using a biologically mimicking climbing robot to explore the performance landscape of climbing in lizards. Proc Biol Sci, 2021, 288. [CrossRef]
    [43] Cramer, B; Billaudelle, S; Kanya, S. Surrogate gradients for analog neuromorphic computing. Computer Sciences, 2022, 119, p. 833-845.
    [44] Pratama, E. G; Sunanda, W; Gusa, R. F. A floating photovoltaic system for fishery aeration. IOP Conf. Ser. Earth Environ Sci, 2021, 926, pp. 1-5. [CrossRef]
    [45] Le, A. D; Pham, D. A; Pham, D. T; Vo, H. B. Alert Trap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform. Published in arXiv.org, 2021, pp. 1-15.
    [46] Jang, Y. W. et al. Intact 2D/3D halide junction perovskite solar cells via solid-phase in-plane growth. Nat. Energy, 2021, 6, pp. 63-71. [CrossRef]
    [47] Utami, S; Daud, A. Pengaruh Temperatur Panel Surya Terhadap Efisiensi Panel Surya. J. Tek. Energi, 2021, 11, pp. 7-10. [CrossRef]
    [48] Setiawan, M.T.; Winarno, I; Dewantara, B. Y. Implementasi Internet of Things Dalam Rancang Bangun Sistem Monitoring Pada Solar Cell Berbasis Web,” JEECOM, 2021, 3, pp. 34-38, [CrossRef]
    [49] Cheragee, S.H; Hassan, N; Ahammed, S; Islam, A.Z.M.T. A Study of IoT Based Real-Time Solar Power Remote Monitoring System,” IJASA, 2021, 9, pp. 27-36. [CrossRef]
    [50] Adanta, D; Syofii, I; Sari, D. P; Wiyono, A. Performance of Pico Scale Turgo Turbine in Difference the Nozzle Diameter. International Journal of Fluid Machinery and Systems, 2022, 15, pp. 130-136. [CrossRef]
    [51] Laudani, A; Lozito, G. M; Fulginei, F. R. Irradiance sensing through PV devices: A sensitivity analysis. Sensors, 2021, pp. 1-29. [CrossRef]
    [52] El-Hajj, M; Mousawi, H; Fadlallah, A. Analysis of Lightweight Cryptographic Algorithms on IoT Hardware Platform. Future Internet. 2023, pp. 1-29. [CrossRef]
    [53] Liu, Y; Li, D; Du, B; Shu, L; Han, G. Rethinking sustainable sensing in agricultural Internet of Things: From power supply perspective. IEEE Wireless Communications, 2022, 29, pp. 102-109. [CrossRef]
    [54] Amanlou, S; Hasan, M. K; Bakar, K. A. A. Lightweight and secure authentication scheme for IoT network based on publish–subscribe fog computing model. J.Comnet, 2021, 199, pp. 1-22. [CrossRef]
    [55] Pahmi, M; Ayob, A; Ansari, S; Saad, M.A.M. Artificial Neural Network Based Forecasting of Power Under Real Time Monitoring Environment. IEEE SENNANO conference, 2021, p. 122-125. [CrossRef]
    [56] Aziz, L; Wahiddin, D and Lestari, S.A.P. Penerapan Dual Axis Solar Tracking dengan Fuzzy Logic Controller untuk Optimalisasi Output pada Solar Cell. Scientific Student Journal for Information, Technology and Science, 2021, 2, pp. 203-213.
    [57] Manfaluthy, M; Pangestu, A; Arif, R; Sanjaya, L.A. Watt peak meter of solar panel,” J. Phys.:Conference series, IOP Publishing Ltd, 2021, 1, pp. 1-12. [CrossRef]
    [58] Liu, H; Wu, R; Guo, Q; Hua, Z and Wu, Y. Electronic nose based on temperature modulation of MOS sensors for recognition of excessive methanol in liquors. ACS omega, 2021, 6, pp. 30598-30606. [CrossRef]
    [59] Smith, C; Satme, J; Martin, J; Downey, A. R. J; Vitzilaios, N; Imran, J. UAV rapidly-deployable stage sensor with electro-permanent magnet docking mechanism for flood monitoring in undersampled watersheds. Elsevier, 2022, 12, pp.1-19. [CrossRef]
    [60] Gupta, V.; Sharma, M.; Pachauri, R. K. & Babu, K. N. D. A Low-Cost Real-Time IOT Enabled Data Acquisition System for Monitoring of PV System. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020, 43, pp. 1-16. [CrossRef]

Sifa Nurpadillah, Willy Anugrah Cahyadi, Husneni Mukhtar, Kusnahadi Susanto, Akhmad Fauzi Ikhsan and Agung Ihwan Nurdin (2024), Optimizing Current Injection Technique for Enhancing Resistivity Method . IJEER 12(1), 99-110. DOI: 10.37391/IJEER.120115.