Identifikasi Sebaran Air Lindi Menggunakan Metode Magnetik pada Area Tempat Pembuangan Akhir (TPA) Benowo, Surabaya

Trisdianti, Sephia Galo (2026) Identifikasi Sebaran Air Lindi Menggunakan Metode Magnetik pada Area Tempat Pembuangan Akhir (TPA) Benowo, Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tempat Pembuangan Akhir (TPA) Benowo, Surabaya, berpotensi menghasilkan air lindi yang dapat mencemari tanah dan air tanah apabila mengalami infiltrasi ke bawah permukaan. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis pola sebaran air lindi bawah permukaan di area TPA Benowo, Surabaya berdasarkan interpretasi anomali medan magnet. Pengukuran dilakukan pada tujuh lintasan menggunakan metode looping. Data hasil pengukuran dikoreksi menggunakan koreksi International Geomagnetic Reference Field (IGRF) dan variasi harian, kemudian diolah menggunakan Total Magnetic Intensity (TMI), Reduction to the Pole (RTP), Upward Continuation, Vertical Gradient, Horizontal Gradient, dan Analytic Signal. Interpretasi kuantitatif dilakukan menggunakan metode inversi nonlinier berbasis Flower Pollination Algorithm (FPA). Hasil penelitian menunjukkan bahwa pola sebaran air lindi bawah permukaan cenderung mengarah ke bagian timur area penelitian, yang diindikasikan oleh keberadaan zona anomali magnetik rendah berdasarkan hasil interpretasi Vertical Gradient, Horizontal Gradient, dan Analytic Signal. Anomali magnetik total memiliki rentang nilai -11.000 nT hingga 13.000 nT, sedangkan hasil RTP berkisar antara -26.000 nT hingga 24.000 nT. Upward Continuation pada ketinggian 150 m memberikan pemisahan anomali lokal dan regional yang paling representatif. Hasil inversi menggunakan Flower Pollination Algorithm menghasilkan nilai misfit sebesar misfit sebesar 15,4342 pada sayatan 1 dengan kedalaman sumber anomali 2,29 m, serta misfit sebesar 0,9107 pada sayatan 2 dengan kedalaman sumber anomali 14,25 m. Berdasarkan hasil interpretasi kualitatif dan kuantitatif, metode magnetik efektif digunakan untuk mengidentifikasi dan menganalisis pola sebaran air lindi di bawah permukaan TPA Benowo secara noninvasif.
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Benowo Landfill, Surabaya, has the potential to generate leachate that may contaminate soil and groundwater through subsurface infiltration. This study aims to identify and analyze the distribution pattern of subsurface leachate within the Benowo Landfill area, Surabaya, based on the interpretation of magnetic field anomalies. Magnetic data were acquired along seven survey lines using the looping method. The observed data were corrected for the International Geomagnetic Reference Field (IGRF) and diurnal variations, and subsequently processed using Total Magnetic Intensity (TMI), Reduction to the Pole (RTP), Upward Continuation, Vertical Gradient, Horizontal Gradient, and Analytic Signal techniques. Quantitative interpretation was performed using a nonlinear inversion approach based on the Flower Pollination Algorithm (FPA). The results indicate that the subsurface leachate distribution is predominantly concentrated in the eastern part of the study area, as evidenced by low magnetic anomaly zones identified from the interpretation of the Vertical Gradient, Horizontal Gradient, and Analytic Signal maps. The total magnetic anomaly ranges from −11,000 nT to 13,000 nT, while the RTP anomaly ranges from −26,000 nT to 24,000 nT. Upward Continuation at an elevation of 150 m provided the most representative separation between local and regional anomalies. The inversion results using the Flower Pollination Algorithm yielded a misfit value of 15,4342 for Profile 1, corresponding to an anomaly source depth of 2.29 m, and a misfit value of 0.9107 for Profile 2, corresponding to an anomaly source depth of 14.25 m. Based on the qualitative and quantitative interpretations, the magnetic method proved to be effective for identifying and analyzing the distribution pattern of subsurface leachate at the Benowo Landfill in a non-invasive manner.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Air Lindi, Metode Magnetik, Flower Pollination Algorithm, TPA Benowo, Leachate, Magnetic Method, Flower Pollination Algorithm, Benowo Landfill.
Subjects:	Q Science > QE Geology > QE1.F557 Magnetic anomalies--Measurement.
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Sephia Galo Trisdianti
Date Deposited:	30 Jul 2026 01:14
Last Modified:	30 Jul 2026 01:14
URI:	http://repository.its.ac.id/id/eprint/139873

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