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All Journal POSITRON Journal of Engineering and Technological Sciences Phi : Jurnal Pendidikan Fisika dan Terapan JGE (Jurnal Geofisika Eksplorasi) Jurnal Geosaintek Jurnal Geocelebes Buletin Sumber Daya Geologi Jurnal Geosains dan Teknologi Jurnal Geofisika Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Jurnal Abdi Masyarakat Indonesia Jurnal Geosaintek
Irawati, Selvi Misnia
Geophysical Engineering, Institut Teknologi Sumatra (ITERA) Jalan Terusan Ryacudu, Lampung Selatan 35365, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Physics Public Health Other

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CONTROLLED-SOURCE ELECTROMAGNETIC (CSEM) DATA PROCESSING WITH HIGH ELECTROMAGNETIC NOISE LEVELS Jaya, Muhammad Rendi; Paembonan, Andri Yadi; Irawati, Selvi Misnia; M. Strack, Kurt
JGE (Jurnal Geofisika Eksplorasi) Vol. 10 No. 2 (2024)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v10i2.345

Abstract

The Controlled-Source Electromagnetic (CSEM) method is one of the electromagnetic methods utilized in geophysical exploration. This method provides a subsurface image through the resistivity anomalies of materials encountered by electromagnetic waves. The research area is located near a major city, resulting in high electromagnetic noise. Electromagnetic noise can be categorized into two types of the noise namely periodic noise and sporadic noise. Eliminating noise is a crucial objective to enhance data quality, as it can introduce uncertainty into interpretations. Three noise removal techniques are employed: pre-stack to filter the harmonic noise, stacking to remove the sporadic noise, and post-stack for smoothing. The CSEM data used consists of signals in the time domain with a 10-second period and a 50% duty cycle. The results of applying these noise removal techniques indicate that all three methods are highly effective in noise reduction. The pre-stack technique can remove periodic noise, while sporadic noise is addressed by the stacking technique, and signal smoothing can be achieved using the poststack technique.
C-RIA: PERANGKAT LUNAK INVERSI DAN ANALISIS DATA RESISTIVITAS BERBASIS CLOUD Paembonan, Andri Yadi; Sigalingging, Asido Saputra; Andika, Putu Pradnya; Irawati, Selvi Misnia; Nathania, Edlyn Yoadan; Jaya, Muhammad Rendi
JGE (Jurnal Geofisika Eksplorasi) Vol. 10 No. 1 (2024)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v10i1.389

Abstract

Pada umumnya, proses inversi dan analisis data geofisika konvensional menggunakan komputasi lokal yang memerlukan sumber daya besar baik dalam proses pengolahannya maupun dalam penyimpanan data yang dapat menghambat efisiensi dan skalabilitasnya. Seiring dengan kemajuan teknologi cloud computing, penyimpanan dan pengolahan data secara terpusat menjadi lebih efisien, memungkinkan geofisikawan untuk mengoptimalkan kinerja dalam melakukan pengolahan data seperti inversi data geolistrik secara signifikan. Dengan memanfaatkan infrastruktur cloud, perangkat lunak ini dapat diakses secara fleksibel dan dapat disesuaikan, memungkinkan pengguna untuk mengelola dan menganalisis dataset geolistrik dengan lebih efektif. Tujuan dari penelitian ini adalah untuk mengoptimalkan pengolahan data geolistrik resistivitas dengan teknologi cloud yang dapat mempercepat kinerja maupun memberikan kemudahan pengolahan data (user friendly) melalui pengembangan perangkat lunak C-RIA. Sebelum melakukan pengolahan data perlu dilakukan pemilihan metode optimasi dan penentuan beberapa parameter, kemudian dilakukan proses inversi. Hasil yang diperoleh setelah dilakukan proses inversi untuk membuat model memperlihatkan kemampuan pengolahan data yang stabil dengan model awal yang berbeda. Selain itu hasil yang diperoleh dengan menggunakan data sintesis memperlihatkan hasil yang hampir sama walaupun sudah ditambahkan sedikit gangguan (noise) dengan nilai RMSE <3%, sedangkan pada pengujian data lapangan nilai RMSE <1%. Selanjutnya pada data lapangan nilai Selain itu dengan antarmuka (interface) yang lebih mudah dapat mempercepat dan mengoptimalkan pengolahan data.  Secara keseluruhan dari penggunaan teknologi cloud yang diimplementasikan untuk data geolistrik dapat menjadi solusi untuk pengolahan data lebih efisien dan efektif serta fleksibel.
Inversi 2D Data Magnetotelurik menggunakan Analisis Tensor Fase di Daerah Silverton, Colorado, USA Irawati, Selvi Misnia; Faidah, Puti Athiyah
POSITRON Vol 15, No 2 (2025): Vol. 15 No. 2 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v15i2.92353

Abstract

Struktur geologi terbentuk akibat proses tektonik dan aktivitas vulkanik, yang berpotensi menghasilkan sumber daya alam maupun memicu bencana geologi. Salah satu metode geofisika yang efektif untuk mengidentifikasi struktur bawah permukaan adalah metode magnetotelurik (MT). Penelitian ini bertujuan untuk menentukan dimensionalitas dan arah geoelectrical strike menggunakan analisis tensor fase serta memodelkan struktur geologi melalui pemodelan 2D MT dengan inversi Non Linier Conjugate Gradient (NLCG) di daerah Silverton, Colorado, USA. Data magnetotelurik diolah melalui tahapan analisis tensor fase, rotasi strike, dan inversi 2D untuk memperoleh distribusi resistivitas bawah permukaan. Hasil analisis menunjukkan bahwa dimensionalitas data pada periode rendah, sedang, dan tinggi bersifat 2D, dengan arah geoelectrical strike timur laut–barat daya sebesar N45E°. Dari hasil pemodelan resistivitas 2D, pada lintasan 1 teridentifikasi tiga sesar, yaitu sesar minor dengan arah utara–selatan, serta kelanjutan Sesar Pegunungan San Juan dengan arah tenggara–barat laut. Pada lintasan 2, diperoleh empat sesar yang berasosiasi dengan ring-fault-zone Kaldera Silverton, dengan arah timur laut–barat daya dan utara–selatan, sesuai dengan informasi geologi. Hasil ini memberikan informasi kejelasan baru terhadap struktur sesar kompleks Silverton berdasarkan integrasi analisis tensor fase dan inversi 2D MT sebagai pendekatan untuk memahami struktur geologi.
Application of the Adam Gradient Descent Optimizer (AGDO) for One-Dimensional Magnetotelluric (MT) Data Inversion Harahap, M. Fadhilah Al Yasir; Irawati, Selvi Misnia; Junian, Wahyu Eko
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34593

Abstract

This study investigates the application of the Adam Gradient Descent Optimizer (AGDO) for one-dimensional (1D) magnetotelluric (MT) inversion. The algorithm was evaluated using a benchmark function, synthetic MT datasets generated from layered Earth models with 5% Gaussian noise, and field MT data from the Cloncurry region, Australia. For the synthetic datasets, AGDO successfully reconstructed the target resistivity structures, yielding RMSE values ranging from 0.0599 to 0.0603 across four models with different resistivity configurations. For the field datasets, the inversion produced RMSE values between 0.0225 and 0.0582, indicating good agreement between the observed and calculated responses. The ensemble of models obtained from 100 independent runs clustered around the best-fit solutions, demonstrating stable convergence and consistent inversion results despite different random initial populations. These results indicate that AGDO provides an effective and reliable optimization framework for one-dimensional MT inversion and represents a promising alternative for addressing the nonlinear and non-unique nature of the problem.
Analisis Kerentanan Tanah Terhadap Gempa Bumi Menggunakan Metode Horizontal to Vertical Spectral Ratio di Daerah Way Huwi, Lampung Selatan Angelica Noviani Sitio; Rizki Wulandari; Selvi Misnia Irawati; Dwi Putri Meisya br Sinuhaji
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 7 No. 1 (2026): Februari
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v7i1.1562

Abstract

This study aims to evaluate the level of soil seismic vulnerability in Way Huwi Village, South Lampung, using the Horizontal to Vertical Spectral Ratio (HVSR) method. The analysis was conducted based on parameters including natural frequency, soil amplification factor, seismic vulnerability index, and shear-wave velocity to a depth of 30 m (V_S30). The results indicate that the subsurface conditions of the study area are heterogeneous, as reflected by the spatial variation of HVSR parameters across the area. Areas characterized by low natural frequency (f₀ < 5 Hz) and high amplification factor (A₀ > 3.5) are generally associated with thick, unconsolidated soft sediments, resulting in higher seismic vulnerability. In contrast, areas with higher V_S30 values indicate stiffer and more compact soil conditions, leading to a more stable ground response to earthquake shaking. V_S30 estimation using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) methods produced consistent results, where lower V_S30 values correlate with increased amplification factors and seismic vulnerability indices. Based on these findings, areas with high seismic vulnerability, particularly around measurement points SS2, SS10, and SS22, are recommended as priority zones for earthquake risk mitigation efforts. The results of this study are expected to serve as a basis for spatial planning, earthquake-resistant building design, and disaster risk management in Way Huwi Village.
IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) UNTUK PEMODELAN INVERSI 1D DATA MAGNETOTELLURIK Wahyu Eko Junian; Rifa Prima Adilla; Selvi Misnia Irawati
Jurnal Geosaintek Vol. 11 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v11i2.2590

Abstract

Magnetotellurik (MT) merupakan metode geofisika pasif yang memanfaatkan variasi medan elektromagnetik alami untuk memetakan struktur resistivitas bawah permukaan bumi. Metode ini mampu menjangkau kedalaman hingga puluhan kilometer dan sensitif terhadap kontras resistivitas, sehingga banyak digunakan dalam eksplorasi sumber daya alam seperti geotermal, mineral, dan hidrokarbon, serta dalam studi struktur geologi regional. Meskipun demikian, proses inversi data MT merupakan masalah non-linier dan tidak unik, sehingga memerlukan pendekatan optimasi yang andal. Penelitian ini mengimplementasikan algoritma Grey Wolf Optimizer (GWO) dalam pemodelan inversi satu dimensi (1D) data MT untuk mengatasi tantangan tersebut. Evaluasi dilakukan menggunakan data sintetik dan data lapangan. Data sintetik dibangun dari dua model tiga lapisan dengan karakteristik resistivitas berbeda, yang masing-masing ditambahkan noise sebesar 5% untuk mensimulasikan kondisi pengukuran lapangan. Hasilnya menunjukkan bahwa GWO mampu merekonstruksi model dengan tingkat kesalahan 5,82% dan 5,29% masing-masing untuk Model 1 dan Model 2. Penerapan GWO pada data lapangan dari wilayah East Tennant, Australia, menghasilkan model inversi dengan tingkat kesalahan sebesar 5,66% dan menunjukkan kesesuaian yang baik dengan hasil inversi metode probabilistik rj-McMCMT. Temuan ini membuktik
Identification of Land Subsidence Zone Distribution Using Ground Penetrating Radar Integrated with Cone Penetration Test: A Case Study of Maritime Museum and Syahbandar Tower, North Jakarta Rahim, Rizka Aulia Shakila; Triana, Alya Ayu; Irawati, Selvi Misnia; Ruchimat, Acep
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 13 No 1 (2027)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v13i1.35234

Abstract

and subsidence is a serious environmental issue in the coastal area of North Jakarta, particularly in Penjaringan District, where the historic buildings of the Maritime Museum and Syahbandar Tower are located. Identification of subsurface conditions regarding the distribution of subsidence zones is necessary to prevent structural damage that could result in significant losses. This study was conducted by integrating Ground Penetrating Radar (GPR) and cone penetration test (CPT). GPR measurements were performed using a GSSI SIR 4000 instrument at a frequency of 400 MHz, with a total of 8 survey lines and 2 CPT points. The radargram results show downward sloping reflections indicating land subsidence beneath the surface. Land subsidence zones were detected at depths of 0 – 3 m at different distances, presumably caused by deformation and uneven compaction. A fill soil layer was detected at depths of 0 – 1.5 m. The correlation between GPR and CPT data confirms the presence of sandy clay with cone tip resistance values of qc = 10–20 kg/cm² at depths of 0–4 meters, indicating very low bearing capacity consistent with the land subsidence identified in the GPR data. The results of this method demonstrate that the integration of GPR and CPT data provides a comprehensive and reliable assessment of land subsidence vulnerability as a basis for mitigation planning and sustainable development in the Jakarta area. Accordingly, this study bears significant relevance to the fields of applied physics and geophysics.
Co-Authors Airlangga, Feby Alutsyah Luthfian Amin, Fadhlan amin Andika, Putu Pradnya Andri Yadi Paembonan Angelica Noviani Sitio Antosia, Risky Martin Asido Saputra Sigalingging Dahlila, Dea Dwi Putri Meisya br Sinuhaji Edy Wijanarko Faidah, Puti Athiyah Farduwin, Alhada Fernanda, Leonardo Handoyo Handoyo Harahap, M. Fadhilah Al Yasir Hendra Grandis Hidayat Hidayat Jaya, Muhammad Rendi Junian, Wahyu Eko Laesanpura, Agus Lita Maharani M. Strack, Kurt Maharani, Lita Mahendra, Merizki Ade Manurung, Sarah Merizki Ade Mahendra Nathania, Edlyn Yoadan Nugraha, Purwaditya Pahri, Pahri Purwaditya Nugraha Putri, Intan Andriani Rahim, Rizka Aulia Shakila Rifa Prima Adilla Rizki Wulandari Ruchimat, Acep Santoso, Nono Agus Sigalingging, Asido Saputra Sitorus, Dorlensa Triana, Alya Ayu Wibowo, Andy Setyo