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All Journal Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Sinergi JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Forum Geografi Jurnal Geocelebes Journal of Science and Applicative Technology JIPF (Jurnal Ilmu Pendidikan Fisika) Jurnal Sains Teknologi dan Lingkungan (JSTL) Indonesian Mining Journal Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal Ilmu Fisika KURVATEK G-Tech : Jurnal Teknologi Terapan DEVICE Indonesian Community Journal International Journal of Hydrological and Environmental for Sustainability JOMPA ABDI: Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Sewagati Jurnal Teknologi Mineral dan Batubara Indonesian Mining Journal Masyarakat: Jurnal Pengabdian
Rizqi Prastowo
Institut Teknologi Nasional Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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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

Abstract

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

Abstract

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.
ABDIMAS: PEMBUATAN PETA KEKERINGAN KABUPATEN BANTUL DAERAH ISTIMEWA YOGYAKARTA Hermawan, Anggi; Sari, Sely Novita; Maulana, Rizal; Prastowo, Rizqi; Ardian, Oggi Heicqal
Masyarakat: Jurnal Pengabdian Vol. 1 No. 1 (2024)
Publisher : Yayasan Pendidikan Dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/m-jp.v1i1.193

Abstract

Kekeringan disebabkan oleh ketidakseimbangan hidrologi akibat distribusi hujan yang tidak merata, yang memengaruhi pasokan air. Kabupaten Bantul, DIY, sering mengalami kekeringan, terutama di kecamatan seperti Dlingo, Imogiri, Pajangan, Piyungan, dan Kasihan. Sekitar 2000 hektar lahan pertanian terancam kekeringan karena kurangnya irigasi selama musim kemarau. Kabupaten Bantul belum memiliki pemetaan daerah rawan kekeringan, yang penting bagi BPBD. Kegiatan abdimas ini bertujuan untuk membuat Peta Kekeringan Kabupaten Bantul DIY. Langkah awal mencakup studi pendahuluan untuk memahami iklim, pola kekeringan, dan dampaknya, serta mengidentifikasi data yang relevan. Pengumpulan data melibatkan akuisisi data iklim, hidrologi, dan curah hujan dengan kolaborasi lembaga terkait. Data dianalisis untuk mengidentifikasi pola kekeringan, dan digunakan dalam pemetaan dengan perangkat lunak GIS. Kegiatan ini menghasilkan Peta Kekeringan dan Potensi Sumber Air Kabupaten Bantul Tahun 2023. Implikasi Pembuatan peta tidak hanya menjadi alat visualisasi, tetapi juga menjadi landasan dalam manajemen bencana dan upaya mitigasi untuk Masyarakat sekitar.
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

Abstract

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.
Academic Achievement and Conceptual Understanding of Electrodynamics: Applications Geoelectric Using Cooperative Learning Model Prastowo, Rizqi; Huda, Syamsul; Umam, Rofiqul; Jermsittiparsert, Kittisak; Prasetiyo, Andika Eko; Tortop, Hasan Said; Syazali, Muhamad
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 8 No 2 (2019): Jurnal Ilmiah pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v8i2.4614

Abstract

Students' comprehension of the theory is often implemented as an effort to improve their achievements. However, other learning processes are rarely carried out by teachers, such as the practice or tools uses as the lesson application. The purpose of this study is to analyze the learning effectiveness by applying the geophysical surveys practice method or the use of environmental geophysics tools. The assessment of students' abilities is based on the interpretation results of environmental geophysical survey data and the presentations and discussions about the results of interpretation. The TGT Cooperative learning model was used with a quasi-experimental method and quantitative design. Data collection was carried out using a series of research instruments in the form of questionnaires. The results of the study were based on comparisons between the experimental class and the control class. The results show that the experimental class has excellent findings. 1) Based on the results of the post-test, the TGT cooperative learning method is very effective in this study, because teamwork can maintain students' enthusiasm and understanding during the learning process. 2) Retrieval of field data makes students better understand the application of geoelectric concepts and determination of rock resistivity.
Rapid visual screening of building for potential ground movement in Kalirejo, Kulonprogo, Yogyakarta Sari, Sely Novita; Prastowo, Rizqi; Junaidi, Rahmad; Machmud, Amir
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 9 No 1 (2020): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v9i1.5190

Abstract

Landslides are the biggest threat in the Kalirejo area. The dynamics of land movements in the mountains often cause cracks and potentially collapse. Landslides due to land fractures caused building damage. This study aimed to analyze the condition of a simple building on the influence of land fracture. The method used was conducting a field survey of existing buildings in the Kalirejo area. The data of the surveys were the percentage of building damage and building categorization. From the results of the analysis, the percentages of buildings in the safe category were 78 buildings or 54.17%, the buildings of the unsafe category were 51 buildings or 35.42%, and buildings with the unsafe category were 15 buildings out of 144 surveyed building with the percentage of 10.42%. Based on the results of the analysis using the Rapid Visual Screening (RVS) method, 15 buildings with unsafe conditions need to be relocated because they do not use the minimum structure required for simple buildings while the 51 buildings with unsafe conditions, repairs must be made to the structure according to the minimum requirements of simple buildings
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

Abstract

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

Abstract

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.
High-Resolution Resistivity Analysis of Andesite Rock Distribution in Kulon Progo’s Mineral-Rich Terrain Prastowo, Rizqi; Sugarbo, Oky; Setiawan, Nanda Juli; Pambudi, Setyo; Murkute, Yogesh; Panse, Vishal R.
International Journal of Hydrological and Environmental for Sustainability Vol. 4 No. 2 (2025): 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.v4i2.707

Abstract

This study employs integrated geophysical methods to analyze the spatial distribution and subsurface geometry of andesitic rock formations in the Mujil Hill area, Kulon Progo, Yogyakarta. Electrical resistivity imaging (ERI), using a dipole-dipole configuration, was conducted to identify high-resistivity zones (>1000 Ωm), which are interpreted as fresh andesitic intrusions. These zones are consistently found at an average depth of 10 meters, embedded within moderately resistive volcanic breccia. Near-surface layers with low resistivity values (<100 Ωm) are associated with weathered volcanic deposits or unconsolidated soil. To enhance subsurface structural interpretation, resistivity data were complemented with gravity modeling, providing a more comprehensive geological assessment. The results confirm the lateral continuity and shallow emplacement of andesite bodies, highlighting their potential as a local source of construction material. This integrated geophysical approach supports sustainable mineral resource development and aligns with the objectives of the regional economic empowerment program, contributing to the responsible utilization of local geological resources.
Analysis of Ground Vibration Levels Due to the Blasting Process at PT. Bumi Suksesindo Tarumasely, Nofry Hence; Wardana, Novandri Kusuma; Prastowo, Rizqi
JURNAL GEOCELEBES Vol. 8 No. 1: April 2024
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/geocelebes.v8i1.32853

Abstract

Ground vibration is one of the effects of the blasting process; when the ground vibration reaches the highest level, it will disturb comfort and even cause damage to the surrounding building structure. This research aims to determine the magnitude of ground vibrations in Pit A and Pit C, as well as determine the relationship between Peak Particle Velocity (PPV) and scaled Distance, and determine the maximum explosive charge weight per delay based on the SNI 7571: 2010 reference. Actual ground vibration measurement data during research based on PPV theory and the actual PPV power regression relationship with scaled distance was used to obtain a ground vibration prediction formula to be a reference for determining the amount of explosive filling per delay. The ground vibration produced in the blasting process is hoped not to exceed the safe threshold. Prediction of the ground vibration formula at 100 m to 1500 m according to the US Bureau of Mines where the Mean Squared Error (MSE) value is 0.54, the MSE value from the Langefors-Kihlstrom equation is 1.85 while the MSE value from the Ambersays-Hendorn equation is 0.31 with the slightest deviation is very good to use as a reference for predicting ground vibrations with the predicted PPV formula. Hence, the maximum explosive charge with a PPV limit of 2 mm/s is 2.452 kg, a PPV limit of 3 mm/s is 11.332 kg, and a PPV limit of 5 mm/s is 23.040 kg. The factors that influence ground vibration are the Distance from the blasting location to the measurement location and the maximum number of explosives per delay, so the results taken from this research are that blasting in Pit A and Pit C is still categorized as safe for infrastructure and community housing.
Co-Authors A.A Inung Arie Adnyano, A.A Inung Arie Abdul Latif Ashadi Agustinus Isjudarto Ahmad Said Akhmad Zamroni Al Hussein Flowers Rizqi Aldri, Riaferdo Amir Machmud Amir Machmud, Amir Andika Eko Prasetiyo Andika Eko Prasetiyo, Andika Eko Andyono B. Santoso Angger Bagus Prasetiyo Anggi Hermawan Anita Susiana Arimurti, Dyah Arum Bagus Gilang Pratama, Bagus Gilang Bahy, Muhammad Nauval Brahme, Nameeta Cengiz, Korhan Dandi Pranomo Eko Wahyu Hidayat, Eko Wahyu Fahrul Nurfajri Mokoagow Fajar Yulianto Prabowo Farid, Fajri Filipus Alfriyadi Junaidi firhad firmansyah Hasan Said Tortop Hendro Purnomo Herman, Sofiana Hidayatullah Shidiq hidayatullah sidiq Hikmahtiar, Syouma Hurien Helmi Ichwan Noor Ardiyat Ikah N. P. Permanasari Ilham Mopio Iman Pradana A. Assagaf Iqbal, Mochamad Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Jemssy Ronald Rohi Jermsittiparsert, Kittisak Junior, Prince Robert Kapugu, Excellentia Riane Kittisak Jermsittiparsert Manmeet Kaur Melfa Utari Misdiyanta, Partama Mitsui, Yoshitaka Muhamad Syazali Muhammad Hafizh Hibullah Murkute, Yogesh Novandri Kusuma Wardana Oggi Heical Ardian Oggi Heicqal Ardian Oky Sugarbo Ozyurt, Basak Panse, Vishal R. Paramitha Tedja Trisnaning Puspasari, Fitri Radhitya, Berwyn Dzaky Rahmad Junaidi, Rahmad Randy Galaxy Rita Desiasni Rizal Maulana Rizal Maulana, Rizal Rofiqul Umam Sabrina Putri Puspitasari Sely Novita Sari Setiahadiwibowo, Ajimas Pascaning Setiawan, Nanda Juli Setyo Pambudi Setyo Pambudi Setyo Pambudi Shilvyanora Aprilia Rande, Shilvyanora Syamsul Huda Syamsul Huda Tarumasely, Nofry Hence Tedy Kurniawan Topac, Tuna Tortop, Hasan Said Tri Nugroho Suwarno Urip Nurwijayanto Prabowo Urip Nurwijayanto Prabowo Urip Nurwijayanto Prabowo, Urip Nurwijayanto Veronica Diana Anis Anggorowati Vico Luthfi Ipmawan Wijaya, Andy Erwin Yonathan Ito Yongthong, Keodouangdy