Electronic Theses and Dissertation

Desa Tibang, Kecamatan Syiah Kuala, Kota Banda Aceh merupakan kawasan pesisir yang secara geologi tersusun oleh endapan aluvium muda. Penelitian ini bertujuan untuk menganalisis distribusi resistivitas bawah permukaan, menginterpretasikan kondisi lapisan bawah permukaan, serta menduga zona yang berpotensi mengalami likuifaksi di daerah penelitian. Metode yang digunakan adalah geolistrik resistivitas 2D dengan konfigurasi Wenner–Schlumberger pada empat lintasan menggunakan 28 elektroda. Pengolahan data dilakukan menggunakan perangkat lunak RES2DINV. Hasil penelitian didapatkan distribusi nilai resistivitas berkisar antara 0,25–80,1 Ohm.m. Berdasarkan hasil interpretasi, model distribusi resistivitas bawah permukaan dibagi menjadi tiga zona, yaitu zona resistivitas rendah (0,25–1,30 Ohm.m), zona resistivitas sedang (1,31–30,00 Ohm.m), dan zona resistivitas tinggi (30,01–80,1 Ohm.m). Zona resistivitas rendah diinterpretasikan sebagai lempung jenuh air, zona resistivitas sedang sebagai lempung pasiran, dan zona resistivitas tinggi sebagai pasir berkerikil. Interpretasi tersebut menunjukkan bahwa zona resistivitas rendah (0,25–1,30 Ohm.m) yang berasosiasi dengan lapisan jenuh air dan mengindikasikan potensi likuifaksi teridentifikasi pada Lintasan 1 pada jarak 84–92 m dengan kedalaman sekitar 1–19,2 m, serta pada Lintasan 2 pada jarak 35–50 m dengan kedalaman sekitar 2–24 m. Sementara itu, Lintasan 4 menunjukkan potensi menengah dan Lintasan 3 relatif rendah. Interpretasi ini diperkuat oleh kondisi geologi setempat yang didominasi oleh endapan aluvium muda. Hasil ini menunjukkan bahwa metode resistivitas listrik 2D efektif dalam mengidentifikasi zona berpotensi likuifaksi di bawah permukaan.

Tibang Village, Syiah Kuala District, Banda Aceh City, is a coastal area that is geologically composed of young alluvial deposits. This study aimed to analyze the subsurface resistivity distribution, interpret subsurface layer conditions, and estimate zones with liquefaction potential in the study area. The method used was a 2D electrical resistivity method with the Wenner–Schlumberger configuration along four survey lines using 28 electrodes. Data processing was conducted using RES2DINV software. The results showed that the subsurface resistivity values ranged from 0.25 to 80.1 Ohm.m. Based on the interpretation, the subsurface resistivity distribution model was divided into three zones: low resistivity (0.25–1.30 Ohm.m), medium resistivity (1.31–30.00 Ohm.m), and high resistivity (30.01–80.1 Ohm.m). The low-resistivity zone was interpreted as water-saturated clay, the medium-resistivity zone as sandy clay, and the high-resistivity zone as gravelly sand. The interpretation indicates that low-resistivity zones (0.25–1.30 Ohm.m), associated with water-saturated layers and indicating liquefaction potential, were identified along Line 1 at a distance of 84–92 m and a depth of approximately 1–19.2 m, as well as along Line 2 at a distance of 35–50 m and a depth of approximately 2–24 m. Meanwhile, Line 4 showed moderate potential, whereas Line 3 showed relatively low potential. This interpretation is supported by local geological conditions dominated by young alluvial deposits. The results indicate that the 2D electrical resistivity method is effective for identifying subsurface zones with liquefaction potential.