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All Journal Indonesian Journal of Geography POSITRON Jurnal Matematika & Sains Journal of Mathematical and Fundamental Sciences Journal of Engineering and Technological Sciences Journal of ICT Research and Applications Jurnal Fisika Unand JOURNAL ONLINE OF PHYSICS Science and Technology Indonesia JOIV : International Journal on Informatics Visualization Journal of Science and Applicative Technology Jurnal Penelitian Pendidikan IPA (JPPIPA) Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jurnal Sains Dirgantara Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Geofisika Jurnal Jaring SainTek Computational and Experimental Research in Materials and Renewable Energy (CERiMRE) Phydagogic : Jurnal Fisika dan Pembelajarannya Indonesian Journal of Physics (IJP) Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources) Journal of Engineering and Technological Sciences
Wahyu Srigutomo
Department of Physics, Faculty of Mathematics and Fundamental Sciences, Institut Teknologi Bandung, Jl. Ganesha 10, Bandung, 40132, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Numerical Modeling Of Pressure Source Of Sinabung Volcano Based On GPS Data In 2011-2012 Using Particle Swarm Optimization (PS0) Kumalasari, Ratih; Srigutomo, Wahyu; Meilano, Irwan; Gunawan, Hendra
Computational And Experimental Research In Materials And Renewable Energy Vol 3 No 2 (2020): November
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v3i2.23549

Abstract

Mogi Model with particle swarm optimization (PSO) scheme have been applied to the local GPS data of Sinabung Volcano during 2011 to 2012 to receive subsurface parameters as pressure sources in terms of misfit and inversion model parameter. The size of displacement was inverted by PSO. From the inversion concluded that the position pressure source showing shallow magma pockets at a depth between ±1.3 km volume change around +0.95x106 m3 . It indicates the presence of a huge magma supply and continuous into shallow magma chamber up to the surface of Sinabung Volcano.
Geoelectric Modelling Based on Bessel Functions Integral and Damped Least-Square Inversion for Layered Earth Models Saefullah, Asep; Srigutomo, Wahyu; Rostikwati, Diana Ayu
POSITRON Vol 14, No 1 (2024): Vol. 14 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v14i1.68248

Abstract

Apparent resistivity formulations of a geoelectric method for layered Earth have been obtained analytically in the Bessel functions integral. This formulation is obtained through the application of two boundary conditions. First, the current density is zero at the Earth's surface. Second, current density and electric potential are continuous at the boundary between the layers. Geoelectric modelling can be done using several model parameters through this formulation. The modelling results show that apparent resistivity formulations based on Bessel function integrals can simulate apparent resistivity curves for layered earth models. The inversion process uses the apparent resistivity formulation based on Bessel function integrals. In this study, the inversion process uses a dumped Least-squared inversion method. The first step begins by testing the inversion program using synthetic data. After that, the inversion program is used in field data. The inversion results using field data from geoelectric data in Mount Pandan, East Java, show that the program was well done, with a minimal error value of 1.24%.
PEMODELAN DINAMIKA SUMBER TEKANAN GUNUNG SINABUNG DENGAN SKEMA INVERSI VERY FAST SIMULATED ANNEALING (VFSA) Kumalasari, Ratih; Srigutomo, Wahyu; Djamal, Mitra; Meilano, Irwan; Gunawan, Hendra
JOURNAL ONLINE OF PHYSICS Vol. 10 No. 1 (2024): JOP (Journal Online of Physics) Vol 10 No 1
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v10i1.36661

Abstract

Gunung Sinabung mulai erupsi pada tahun 2010 hingga saat ini (2021), berdasarkan hal tersebut maka perlu dilakukan analisis terkait Gunung Sinabung guna memprediksi posisi dan perubahan sumber tekanan dari Gunung Sinabung. Untuk mengetahui kondisi bawah permukaan dari Gunung Sinabung maka dilakukan inversi dari data diatas pernukaan yang dimiliki salah satunya yaitu data GPS (Global Positioning System), yang kemudian dat tren perubahan posisi dari GPS diinversi dengan metode Very Fast Simulated Annelaing (VFSA). Data yang digunakan dalam penelitian ini adalah data pada tahun 2015 hingga 2016 dikarenakan pada tahun tersebut terjadi erupsi yang kontinyu sehingga perubahan data terlihat dengan jelas. Dari hasil inversi diketahui bahwa sumber tekanan pada Gunung Sinabung terletak pada kedalaman dangkal yaitu 0,5km hingga 1,5km dibawah permukaan laut dibawah Gunung Sinabung, dan diketahui juga adanya perubahan sumber tekanan yang fluktuatif yaitu adanya kenaikan dan penurunan perubahan sumber tekanan yang berasosiasi dengan adanya inflasi dan deflasi pada tubuh Gunung Sinabung
Performance Analysis of Radiation Detection Devices in Elevated Natural Radiation Zones: A Case Study of Mamuju Regency, West Sulawesi Indonesia Abdullah, Adi Rahmansyah Amir; Permana, Sidik; Srigutomo, Wahyu; Maulana, Alan; Seno, Haryo; Purnama, Dikdik Sidik; Tursinah, Rasito; Humolungo, Ismail; Zulfahmi, Zulfahmi
Journal of Engineering and Technological Sciences Vol. 57 No. 1 (2025): Vol. 57 No. 1 (2025): February
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2025.57.1.8

Abstract

Three radiation detection tools were employed to assess natural radiation levels in Mamuju Regency, West Sulawesi, Indonesia. These tools comprised the NaI(Tl) Scintillator, the Geiger Muller Counter (GMC), and the Electronic Personal Dosimeter (EPD). The NaI(Tl) Scintillator and GMC measured ambient dose equivalent (H*(10)), while the EPD exclusively gauged personal dose equivalent (Hp(10)). A total of 75 measuring points were designated for assessment. Results from H*(10) measurements indicated that the GMC recorded an average H*(10) 41% higher than that of the NaI(Tl) Scintillator, with specific rates of 0.769 µSv/h and 0.457 µSv/h, respectively. Both instruments exhibited proficiency in detecting elevated levels of radiation. Discrepancies in the outcomes were attributed to differences in detector type and efficiency. The GMC, equipped with an energy-compensated detector, demonstrated enhanced efficiency compared to the NaI(Tl) Scintillator, particularly when subjected to high energy flux radiation. Anomalies emerged in the Hp(10) measurements, which surpassed the H*(10) measurements. This difference is due to the EPD's use of a conventional GM detector, which is capable of detecting gamma, beta, and X-ray radiation
Analisis Pengaruh Prisma Akresi dan Patahan Splay terhadap Deformasi Permukaan akibat Gempa Mentawai 2010 melalui Pemodelan Numerik 3D Kuncoro, Alvina Kusumadewi; Srigutomo, Wahyu; Fauzi, Umar
Jurnal Fisika Unand Vol 14 No 4 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.4.346-352.2025

Abstract

The Southern Mentawai Segment is located in the Sumatra Subduction Zone, which is part of the accretionary wedge. The accretionary wedge is the most complex tectonic structure in the world within its material and geometrical structure. The 2010 South Mentawai earthquake, with magnitude Mw~7.8, was accompanied by a tsunami that was larger than expected for its magnitude, classifying it as a tsunami earthquake. This study analyze the effect of the accretionary wedge and faults in the South Mentawai Segment on surface deformation using 3D finite element modeling. The geometric model was constructed in four configurations: a model without an accretionary wedge, a model without an accretionary wedge but with splay fault, a model with an accretionary wedge, and a model with both accretionary wedge and splay fault. The results indicate that the model with the accretionary wedge aligns better to the data observed at GPS stations, particularly for the vertical deformation. The presence of splay faults in the model increases the vertical deformation by up to twice, both for the model with and without the accretionary wedge. A better understanding of the subsurface structure enables more precise identification of areas with potential earthquake-triggered tsunamis and more accurate surface deformation estimation.
Design of Object Detection System for Tangkuban Parahu Volcano Monitoring Application Evita, Maria; Mustikawati, Sekar Tanjung; Srigutomo, Wahyu; Meilano, Irwan; Djamal, Mitra
Journal of Engineering and Technological Sciences Vol. 56 No. 5 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.5.3

Abstract

Indonesia has 127 active volcanoes, which have to be monitored continuously in normal, eruption, or after-eruption conditions, to minimize the effects of disaster. Therefore, we have developed a four-wheeled mobile robot for both exploration and monitoring of volcanoes. To finish its mission on uneven terrain full of obstacles, the robot should be able to detect and avoid these obstacles. Therefore, real-time object detection was designed using the YOLOv5s deep learning algorithm, which was implemented on a Raspberry Pi3 for the front camera of the robot. Before it was tested on a real volcano, the model of the algorithm was trained to be able to detect obstacles. The dataset was trained with three variations of epochs (100, 300, and 500) in sixteen batches of YOLOv5s. The last variant yielded the best results, at 63.4% mAP_0.5 and 40.4% mAP_0.5:0.95, with almost zero loss. This model was then implemented on a Raspberry Pi3 to detect trees and rocks captured by camera on Tangkuban Parahu Volcano. Most of the trees and rocks were successfully detected, with 90.9% recall, 79.9% precision, and 91.5% accuracy. Furthermore, the detection error was low, as indicated by low FP and FN numbers.
Convolutional Neural Networks-Based For Predicting Aerodynamic Coefficient Of Airfoils At Ultra-Low Reynolds Number Kasman, Alief Sadlie; Zikri, Arizal Akbar; Fariduzzaman, Fariduzzaman; Srigutomo, Wahyu
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2197

Abstract

Many applications, including airplane design, wind turbines, and heat transmission, use symmetric or asymmetric airfoils. Engineers employ these airfoil shapes to optimize performance and efficiency. Each airfoil has a unique set of aerodynamic coefficients that must be calculated to maximize the airfoil design. Engineers utilize numerous ways to calculate coefficients, such as lift and drag. One of the methods is the prediction method, which effectively reduces time and cost. This study's training dataset is obtained from particle-based numerical computation using the Lattice Boltzmann Method (LBM). Then, Convolutional Neural Networks (CNN) are used as a prediction method to get the aerodynamic coefficients of airfoils for lift and drag based on two different Reynolds numbers. In CNN, airfoil geometry representation is essential. The Signed Distance Function (SDF) was used to convert airfoil geometry into RGB pictures. On the other hand, the SDF method cannot explain different flow conditions; in this case, it is represented by the Reynolds number (Re). Therefore, we propose a Text-based Watermarking Method (TWM) to differentiate between Re = 500 and Re = 1000. Each airfoil representation was trained and tested to generate each prediction model using a modified LeNet-5. The computation results show that using CNN with TWM on SDF to define the Reynolds numbers could predict the lift and drag coefficients with varying angles of attack. Future research can focus on generalizations to different aerodynamic aspects and practical applications in complex scenarios.
Implementation of the Gauss-Kronrod Quadrature Method (G7, K15) on 2D Gravity Anomaly Modeling in Basins with a Polynomial Variation of Density Distribution with Depth Zulhendra; Srigutomo, Wahyu; Hapsoro, Cahyo Aji
Jurnal Penelitian Pendidikan IPA Vol 10 No 8 (2024): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i8.8493

Abstract

Forward modeling of 2D gravity anomalies, considering density contrasts that vary polynomially with depth, was performed to examine basin structures. This process involved two main stages: deriving analytical formulas and executing numerical integration. The Gauss-Kronrod Quadrature Method, utilizing 7 Gauss points and 15 Kronrod points, was employed to precisely compute these integrals. Initial modeling applied to theoretical basement scenarios with fixed density contrasts showed gravity anomalies that accurately reflected the curvature of the basement. To validate the approach, it was then applied to real-world cases including the Sebastian Vizcaino Basin, San Jacinto Graben, and Sayula Basin. By incorporating suitable density contrasts, modeling lengths, and basement curvature shapes, the results revealed that both fixed-density and depth-variable density models produced gravity anomalies with patterns consistent with the actual basement curvature. These findings validate the modeling technique’s effectiveness in representing real geological features accurately. The study confirms that the Gauss-Kronrod Quadrature Method (G7, K15) is robust for analyzing 2D gravity anomalies, providing a reliable tool for understanding the influence of varying density contrasts on gravity responses.
Co-Authors Abdullah, Adi Rahmansyah Amir Acep Purqon Acep Purqon Adam Sukma Putra Adhitya S. Sunarya Adi R.A. Abdullah Alamta Singarimbun Alan Maulana Alan Maulana Anggie Susilawati Anwar, Hairil Ari Setiawan Asep Harja Asep Harja Asep Saefullah Azrul Azwar Bakrun Bakrun Candra E. Novana Deny Juanda Puradimaja Dini Andriani Dini Fitriani Doddy Sutarno Doddy Sutarno Doddy Sutarno Doddy Sutarno Doddy Sutarno Doddy Sutarno Eddy Supriyana Eleonora Agustine Eleonora Agustine Eleonora Agustine Eleonora Agustine Enjang Jaenal Mustopa Enjang Jaenal Mustopa Enjang Jaenal Mustopa Evita, Maria Fajriani Fajriani Fajriani Fajriani fariduzzaman, fariduzzaman Fourier Dzar Eljabbar Latief Frafti Rejeki Fungki Iqlima Nasyidiyah Ghany Hanifan Muslim Hairil Anwar Hairil Anwar Hairil Anwar Halawa Ernwati Hapsoro, Cahyo Aji Harapan Marpaung Hardi Hamzah Harry Mahardika Haryo Seno Hendra Gunawan Herlan Darmawan Herlin Tarigan Hisashi Utada Humolungo, Ismail Husnul Hamdi Husnul Hamdi, Husnul I G. P. F. Soerya Djaja I Gede Putu Fadjar Soerya Djaja Imam Suyanto Imran Hilman Mohammad Imran Hilman Mohammad Irwan Ary Darmawan irwan meilano Irzaman, Irzaman Ismail Humolungo Jayawarsa, A.A. Ketut Joko Sampurno Kartika Hajar Kirana Kasman, Alief Sadlie Kumalasari, Ratih Kuncoro, Alvina Kusumadewi Linus Pasasa M. Habri Zen Mahardika, Harry Maria Evita Martin Liess Martin Liess Melany Febrina Mitra Djamal Moh Yasin Mohammad Heriyanto Mohammad Heriyanto Muhamad Hilmi Aufa Muhammad Abdilllah Budianto Mustikawati, Sekar Tanjung Nadhira Gunawan Ni Ketut Lasmia Nina Siti Aminah Pepen Supendi Pratomo, Prihamdhanu Mukti Prihamdhanu Mukti Pratomo Prihandhanu M. Pratomo Purnama, Dikdik Sidik Putra, Heriansyah Rahmi Elzufiah Rakotovao Lovanantenaina Omega Rasito Tursinah, Rasito RATIH KUMALASARI Ratih Kumalasari Retna Apsari Richardo Barry Astro Rifky Nauval Rostikwati, Diana Ayu Ruddy Kurnia Satria, Eko Seno, Haryo Sesri Santurima Setyanto Cahyo Pranoto Sidik, Adi Permana Sitti Balkis Sparisoma Viridi Sumintadireja, Prihadi Suprijadi Suprijadi Suprijadi Suprijadi Supriyadi Supriyadi Surya Ningsih Surya Ningsih Suryanto, Wiwit Tsuneomi Kagiyama Tsuneomi Kagiyama Tsuneomi Kagiyama Umar Fauzi UMAR FAUZI Umar Said Wahyu Hidayat Wahyudi Wahyudi Warsa warsa Wataru Kanda Yanti Yanti Yazid Bindar Yuant Tiandho Zikri, Arizal Akbar Zulfahmi Zulfahmi Zulfahmi Zulfahmi Zulhendra Zulhendra