The Role of Geoelectrics in Landslide Mitigation Strategies in Malang City
DOI:
https://doi.org/10.63581/JoCPES.v6i1.07Keywords:
Geoelectric resistivity, Landslides, Disaster mitigation, Malang CityAbstract
The city of Malang faces a significant risk of landslides due to rapid population growth and increasingly dense residential development. To address this pressing issue, it is highly important to implement effective and integrated mitigation strategies. One reliable method that can be used in landslide disaster mitigation is the geoelectric resistivity method. The methodology employed in this research is a literature review, conducted by systematically collecting and analyzing data from various relevant sources. This paper comprehensively discusses the vital role of geoelectric methods in landslide mitigation strategies specifically in the city of Malang. The fundamental working principles of the geoelectric resistivity method are clearly explained, including the detailed analysis of geoelectric resistivity data. Additionally, this article also discusses practical landslide mitigation strategies and how using geoelectric methods can help identify potential landslide risks. In this study, geoelectric data collection was carried out at several locations in the city of Malang, and the results were directly used to plan effective disaster mitigation actions
References
[1] D. S. Seruni, M. T. Furqon, and R. C. Wihandika, “Sistem Prediksi Pertumbuhan Jumlah Penduduk Kota Malang menggunakan Metode K-Nearest Neighbor Regression,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 4, no. 4, pp. 1075–1082, 2020, [Online]. Available: http://j-ptiik.ub.ac.id
[2] R. Imandasari, Afifuddin, and H. Anadza, “Efektivitas program pemberdayaan masyarakat miskin melalui kelompok usaha bersama di Kota Malang,” Respon Publik, vol. 16, no. 4, pp. 63–68, 2022.
[3] M. H. S. Hariyanto, F. Ramdani, and M. C. Saputra, “Sistem Informasi Geografis Kesesuaian Lahan Perumahan di Kota Malang menggunakan Metode MCE,” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 2, no. 1, pp. 263–272, 2018.
[4] Salsabila, T. A. Rachmawati, and F. Usman, “Mitigasi Bencana Tanah Longsor di Kawasan Sempadan Sungai Brantas Pada Kampung Tematik Kota Malang,” Plan. Urban Reg. Environ., vol. 10, no. April, pp. 141–148, 2021.
[5] H. Fauzana and E. L. Namigo, “Identifikasi bidang gelincir zona rawan longsor di kawasan wisata Puncak Taruko Kabupaten Agam menggunakan metode geolistrik resistivitas,” J. Fis. Unand, vol. 13, no. 5, pp. 644–650, 2024, doi: 10.25077/jfu.13.5.644-650.2024.
[6] M. Udin, A. Susilo, and A. M. Juwono, “Studi bidang gelincir sebagai langkah awal mitigasi bencana longsor di Kampung Ledok Kecamatan Sumberpucung Kabupaten Malang menggunakan metode geolistrik konfigurasi dipol-dipol,” Brawijaya University.
[7] R. I. Hielmy et al., “Sosialisasi Mitigasi Bencana Gempa Bumi , Tsunami , dan Hidrometeorologi di SMAN 6,” To Maega | J. Pengabdi. Masy., vol. 8, no. 3, pp. 607–616, 2025.
[8] A. Nusantoro, “Analisis mitigasi bencana tanah longsor berbasis kearifan lokal di Purworejo,” in The 11th University Research Colloquium 2020, 2020.
[9] R. I. Hielmy and S. T. Gustono, “Estimation of Jayapura 2023 Aftershock Decay Time Using Python-Based Secant Algorithm,” J. Comput. Phys. Earth Sci., vol. 5, no. 2, pp. 180–188, 2026.
[10] R. I. Hielmy, B. Pranata, Wijayanto, and Daryono, “Performance Evaluation of Automated and Manual Seismic Phase Picking for Rapid Earthquake Parameter Determination in the Indonesian BMKG Network,” vol. 26, no. 2, pp. 89–107, 2025.
[11] A. Wijaya, “Aplikasi Metode Geolistrik Resistivitas Konfigurasi WennerUntuk Menentukan Struktur Tanah di Halaman Belakang SCC ITS Surabaya,” J. Fis. Indones., vol. 19, no. 55, pp. 1–5, 2015.
[12] M. Arif, D. Pujiastuti, and A. F. Pohan, “Pemodelan 3D bidang gelincir tanah longsor menggunakan metode geolistrik di Bukit Nobita Padang,” J. Fis. Unand, vol. 13, no. 1, pp. 15–21, 2024, doi: 10.25077/jfu.13.1.15-21.2024.
[13] A. A. Darmawan, C. Saleh, E. Setyono, and A. S. Amal, “Analisa Model Struktur Geologi Untuk Menduga Air Tanah Dengan Menggunakan Metode Geolistrik,” J. Ilm. Univ. Batanghari Jambi, vol. 21, no. 1, p. 289, 2021, doi: 10.33087/jiubj.v21i1.1261.
[14] G. A. Gautama, Y. Firmansah, and L. A. Grestika, “Identifikasi bawah permukaan di lapangan sepakbola mini, Jatimulyo, Lowokwaru, Kota Malang dengan menggunakan metode geolistrik,” J. Qua Tek., vol. 12, no. 1, pp. 58–81, 2022.
[15] D. Sedana, A. As’ari, and A. Tanauma, “Pemetaan Akuifer Air Tanah Di Jalan Ringroad Kelurahan Malendeng Dengan Menggunakan Metode Geolistrik Tahanan Jenis,” J. Ilm. Sains, vol. 15, no. 1, p. 33, 2015, doi: 10.35799/jis.15.1.2015.6778.
[16] S. Ulfah and A. Winardi, “Analisis daerah potensi longsor Kalijaga Selatan menggunakan geolistrik Wenner,” SainsTech Innov. J., vol. 8, no. 2, pp. 554–559, 2025.
[17] R. I. Hielmy, “Perbandingan Metode Davenport, Milne, dan McGuirre dalam Penentuan Nilai Percepatan Tanah Maksimum di Pulau Bali,” Bul. Meteorol. Klimatologi, dan Geofis., vol. 5, no. 5, pp. 9–16, 2024.
[18] R. I. Hielmy, “Deterministic Seismic Hazard Analysis (DSHA) and Peak Ground Acceleration Mapping in West Java (2018–2024),” J. Comput. Phys. Earth Sci., vol. 5, no. 2, pp. 227–231, 2026.
[19] R. I. Hielmy and M. L. Rajagukguk, “Analisis probabilistik bahaya seismik di denpasar dan sekitarnya berdasarkan pendekatan psha,” J. Online Phys., vol. 11, no. 1, pp. 21–28, 2025.
[20] S. Indriati, S. Sultan, and B. Azikin, “Kajian mitigasi pada zona rawan tanah longsor berdasarkan tipe longsoran di Kecamatan Kokalukuna dan Kecamatan Bungi, Kota Baubau Provinsi Sulawesi Tenggara,” J. Ecosolum, vol. 12, no. 1, pp. 72–85, 2023, doi: 10.20956/ecosolum.v12i1.26732.
[21] R. I. Hielmy et al., “Evaluasi Efektivitas Simulasi Mitigasi Bencana Gempa Bumi di Sekolah An-Nisaa’ Izada, Tangerang Selatan,” To Maega | J. Pengabdi. Masy., vol. 9, no. 1, pp. 1–12, 2026.
[22] M. L. Rajagukguk and R. I. Hielmy, “Estimating Aftershock Termination Time Using Statistical Decay Models: A Case Study of the March 22, 2024 Bawean Earthquake,” J. Comput. Phys. Earth Sci., vol. 5, no. 2, pp. 210–216, 2026.
[23] R. I. Hielmy, “Subsurface Structure of Palu-Koro Fault Zone Using TOPEX Satellite Gravity Data and Regional-Residual Anomaly Separation,” J. Comput. Phys. Earth Sci., vol. 5, no. 2, pp. 217–226, 2026.
[24] R. I. Hielmy, “Subsurface Structural Identification and Seismicity Correlation in West Java Using EMAG2 Geomagnetic Data,” J. Comput. Phys. Earth Sci., vol. 5, no. 2, pp. 202–209, 2026.
[25] R. I. Hielmy, “Revealing the Subsurface Geometry of the 2023 Sumedang Earthquake Sequence Using Double-Difference Relocation and Cross-Section Analysis,” J. Comput. Phys. Earth Sci., vol. 5, no. 2, pp. 173–179, 2026.
[26] A. Tohari, D. D. Wardhana, S. Feranie, and G. A. Salsabila, “Identification of sliding surface using electrical-resistivity tomography for landslide mitigation: A case study of the Cibitung landslide,” IOP Conf. Ser. Earth Environ. Sci., vol. 1314, no. 1, p. 12030, 2024, doi: 10.1088/1755-1315/1314/1/012030.
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Data Availability Statement
All data underlying this study are secondary data available in the published literature cited within the article (e.g., Darmawan et al., 2021; Gautama et al., 2022).
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