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Geophysical Analysis Using Proton Precession Magnetometer GSM-19T as Information on Fault Presence in Medana, North Lombok, Indonesia Anwar, Haerul; Ipmawan, Vico Luthfi; Sriyakul, Thanaporn
International Journal of Hydrological and Environmental for Sustainability Vol 1, No 1 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Lombok island is included in one of the areas prone to earthquakes due to the existence of a subduction zone resulting from the meeting of the Indian-Australian Plate. In this study, the magnetic method was used to determine the subsurface structure of the fault as a research objective. The instrument used in this study consisted of a Proton Precession Magnetometer GSM-19T v7.0 Geomagnet measuring instrument with an accuracy of 0.1 nT to measure the total magnetic field strength. Garmin 60CSx GPS to determine position (latitude and longitude), elevation, time and point of measurement location. The geological compass determines the position and direction of the north-south fault which includes the dip/strike. Some software is also used in processing this geomagnetic data, namely Software (Numeri, Mag2DC, Surfer 9.0) and MS Excel 2013. Based on the results of data processing with 2D and Mag2DC forward modeling, the subsurface structure is obtained in the form of a normal fault, with the average susceptibility value is 0.00605 in Susceptibility (SI) which is a type of limestone. The depth of this normal fault is estimated to be at a depth of 31.5 meters to 74.0 meters.

PENILAIAN DAN PREDIKSI JARINGAN SYARAF TIRUAN TERHADAP KECEPATAN PARTIKEL YANG DIINDUKSI PELEDAKAN - STUDI KASUS PENAMBANGAN BATUGAMPING Prastowo, Rizqi; Hendro Purnomo; Firhad Firmansyah; Ipmawan, Vico Luthfi
Indonesian Mining Journal Vol 27 No 1 (2024): Indonesian Mining Journal, April 2024
Publisher : Balai Besar Pengujian Mineral dan Batubara tekMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30556/imj.Vol27.No1.2024.1531

In recent decades, generation of ground vibrations results from blasting activities in mining sector has been identified as a significant cause of extensive harm to nearby structures, vegetation, and individuals. Hence, it is imperative to closely monitor and accurately forecast the uncertain levels of vibration, and implement the appropriate steps to mitigate their potentially harmful impact. The objective of this study was to establish a correlation between the peak particle velocity and the various parameters that influence it. This study employed the deployment of the artificial neural network approach to assess and forecast the uncertain ground vibrations. In this study, a multilayer perception neural network with three layers and a feed-forward back-propagation architecture was employed. The network consisted of five input parameters, namely the distance from the blast face, maximum charge per delay, spacing, burden, and depth hole. The output of interest was the peak particle velocity. The neural network was trained using the Levenberg–Marquardt algorithm, and the training dataset comprised 29 experimental records and blast event data obtained from the limestone mine in Indonesia. In order to assess the effectiveness and the precision of the artificial neural network model that was created, a total of four conventional predictor models were utilized. These models were proposed by reputable sources such as the US Bureau of Mines, Ambraseys–Hendron, Langefors–Kihlstrom, and the Bureau of Indian Standards. The results collected from the demonstrate study show that the artificial neural network model suggested in this research has the ability to provide more precise estimations of ground vibrations in comparison to existing conventional prediction models. The artificial neural network model yielded a coefficient of determination (R2) of 0.9332 and a root mean square error (RMSE) of 0.4763.

PENILAIAN DAN PREDIKSI JARINGAN SYARAF TIRUAN TERHADAP KECEPATAN PARTIKEL YANG DIINDUKSI PELEDAKAN - STUDI KASUS PENAMBANGAN BATUGAMPING Prastowo, Rizqi; Hendro Purnomo; Firhad Firmansyah; Ipmawan, Vico Luthfi
Indonesian Mining Journal Vol 27 No 1 (2024): Indonesian Mining Journal, April 2024
Publisher : Balai Besar Pengujian Mineral dan Batubara tekMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30556/imj.Vol27.No1.2024.1531

In recent decades, generation of ground vibrations results from blasting activities in mining sector has been identified as a significant cause of extensive harm to nearby structures, vegetation, and individuals. Hence, it is imperative to closely monitor and accurately forecast the uncertain levels of vibration, and implement the appropriate steps to mitigate their potentially harmful impact. The objective of this study was to establish a correlation between the peak particle velocity and the various parameters that influence it. This study employed the deployment of the artificial neural network approach to assess and forecast the uncertain ground vibrations. In this study, a multilayer perception neural network with three layers and a feed-forward back-propagation architecture was employed. The network consisted of five input parameters, namely the distance from the blast face, maximum charge per delay, spacing, burden, and depth hole. The output of interest was the peak particle velocity. The neural network was trained using the Levenberg–Marquardt algorithm, and the training dataset comprised 29 experimental records and blast event data obtained from the limestone mine in Indonesia. In order to assess the effectiveness and the precision of the artificial neural network model that was created, a total of four conventional predictor models were utilized. These models were proposed by reputable sources such as the US Bureau of Mines, Ambraseys–Hendron, Langefors–Kihlstrom, and the Bureau of Indian Standards. The results collected from the demonstrate study show that the artificial neural network model suggested in this research has the ability to provide more precise estimations of ground vibrations in comparison to existing conventional prediction models. The artificial neural network model yielded a coefficient of determination (R2) of 0.9332 and a root mean square error (RMSE) of 0.4763.

Effect of Azimuthal Variability in Estimation of HVSR Parameters and Ground Shear Strain at Kota Baru, South Lampung, Indonesia Ipmawan, Vico Luthfi; Prastowo, Rizqi; Iqbal, Mochamad; Permanasari, Ikah Ning Prasetiowati; Herman, Sofiana
Journal of Science and Applicative Technology Vol. 9 No. 1 (2025): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v9i1.2107

Kota Baru, a potential capital of Lampung Province in South Lampung, Indonesia, faces significant earthquake risks due to the Great Sumatran Fault and the Sumatra Megathrust. Geologically, the area is part of the Plio-Pleistocene Lampung Formation, predominantly composed of rhyolite-dacite tuff and volcanoclastic tuff, which can amplify seismic shaking. This study investigates azimuthal variations in the Horizontal-to-Vertical Spectral Ratio (HVSR) across 15 locations in Kota Baru to identify their underlying causes. The results show notable changes in peak amplitude (Ao) and dominant frequency (fo) across different azimuths, with Mean Absolute Deviations (MAD) ranging from 0.96 to 5.71 for Ao and from 0.00 to 1.57 for fo. Maximum HVSR values were predominantly observed at azimuths below 30° across most regions. These variations are likely related to differences in soft layer thickness and/or the presence of a suspected fault near the study area, both of which could influence seismic wave propagation. A model of an 8.9-magnitude megathrust earthquake revealed no significant differences in Ground Shear Strain values, with results remaining within the same Modified Mercalli Intensity (MMI) scale. Therefore, despite azimuthal variability, the assumption of isotropic ambient noise in Kota Baru remains valid.

3D Modeling of of Distribution Andesite and Breccia Rocks Using Geoelectric Resistivity in Potential Areas of Minerals in Madiun Regency, Indonesia Prastowo, Rizqi; Pambudi, Setyo; Rizqi, Al Hussein Flowers; Ipmawan, Vico Luthfi; Arimurti, Dyah Arum; Radhitya, Berwyn Dzaky
International Journal of Hydrological and Environmental for Sustainability Vol. 3 No. 2 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i2.474

This research focuses on the distribution of andesite and breccia rocks in East Java, Indonesia, specifically in Morang Village, Madiun Regency, through geoelectric resistivity measurements. This study aims to enhance geoelectric interpretation from 2D to 3D, providing high accuracy in target positioning for potential building material resources. By employing a dipole-dipole configuration with electrode spacing, the resistivity values of subsurface rocks were analyzed to classify the types and distributions of building materials, such as andesite and breccia. Data was collected through field measurements and geological surveys, followed by inverse modeling using the least squares method. The results reveal that andesite, with resistivity values above 1000 Ωm, is distributed predominantly in the southeast-northwest trend at a depth of 10–15 meters, while breccia, with resistivity values between 600–900 Ωm, is found at various depths closer to the surface. The geological interpretation suggests that the southeast-northwest orientation may correlate with an ancient basin structure, which directed lava flow during past volcanic activities, forming these rock layers. This study contributes valuable information for local infrastructure planning by providing data on accessible rock resources essential for construction. The application of the 3D geoelectric model offers an effective tool for environmental assessment and mineral exploration, promoting sustainable resource management.

Effectiveness of Induced Polarisation Method in Identifying the Presence of Minerals: 2-Dimensional Interpretation Modeling of Crossing Lines Farid, Fajri; Ipmawan, Vico Luthfi; Prastowo, Rizqi
International Journal of Hydrological and Environmental for Sustainability Vol 3, No 3 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i3.537

This study evaluates the effectiveness of the Induced Polarization (IP) method in identifying mineral presence within the Pacitan region through a detailed case study utilizing 2-dimensional (2D) interpretation of crossing lines. The Pacitan region, with its diverse geological structures, offers an ideal test site for assessing the IP method's capabilities in mineral exploration. By conducting extensive IP surveys and integrating the data with geological and geophysical information, distinct anomalies indicative of mineralization were identified. The results demonstrate that the IP method is highly effective in detecting subsurface minerals, providing a reliable tool for exploration. The 2D interpretation of crossing lines significantly improved the accuracy of anomaly detection and offered detailed insights into the spatial distribution of mineral deposits. Based on the IP survey results, a large resistivity anomaly is located at a distance of 40 metres from the starting point of measurement with a depth of 2-20 metres and a diameter of about 40 metres. Meanwhile, the chargeability anomaly is at a distance of 30 metres from the starting point with a depth of 4-24 metres and a diameter of about 30 metres. When observed from each analysis of line 1 and 2, the cross results can identify resistivity and chargeability anomalies very accurately. This research highlights the potential of the IP method as a non-invasive, cost-effective approach for mineral exploration, particularly in geologically complex regions like Pacitan. The findings underscore the method's utility in enhancing mineral prospecting efforts and contributing to more efficient exploration strategies.

Evaluating The Effectiveness of Radon Measurement Techniques in Soil Gas: Impact of Hole Depth and Measurement Time Iqbal, Mochamad; Berlian, Fitra; Al Farishi, Bilal; Ipmawan, Vico Luthfi; Siregar, Rahmat Nawi; Umam, Rofiqul
EKSPLORIUM Vol. 45 No. 2 (2024): NOVEMBER 2024
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/eksplorium.2024.7134

Radon measurement methodologies are critical for accurate risk assessment and resource optimization, yet challenges persist in determining the optimal sampling depth and measurement duration. These factors significantly influence radon concentration readings, and their impact still needs to be explored in systematic evaluations, particularly in balancing efficiency and accuracy. This study evaluates the effectiveness of radon measurement methodologies by experimenting with how sampling hole depth and measurement duration affect radon concentration in soil gas. Radon experiments were conducted at depths of 0.5 m, 1.0 m, and 1.2 m over a 39-day period in soft tuff rock formations at Institut Teknologi Sumatera. Measurements were taken on Days 0, 6, 12, 18, 27, and 39 using the RAD7 Radon Detector, with multiple cycles to ensure stability. The results indicate that radon concentrations varied significantly with both depth and time, with the highest concentrations observed at 1.2 m on Day 18 (1,089 Bq/m³). A noticeable “lag effect” was observed following rainfall events, where radon levels initially decreased due to soil saturation but spiked as the soil dried. The depth of 0.5 m provided the most consistent measurements, with the lowest coefficient of variation (CV = 31%), making it the most reliable and practical depth for routine radon assessments. Overall, this study highlights the importance of considering environmental conditions, such as rainfall and soil moisture, when interpreting radon data and provides insights into optimizing radon measurement practices for accuracy and efficiency.

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