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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 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 Masyarakat: Jurnal Pengabdian
Rizqi Prastowo
Institut Teknologi Nasional Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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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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
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.
Pemodelan Artificial Neural Network (ANN) Untuk Identifikasi Bangunan Daerah Rawan Longsor Sari, Sely Novita; Pratama, Bagus Gilang; Prastowo, Rizqi
Device Vol 14 No 1 (2024): Mei
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/device.v14i1.6701

Abstract

Identifikasi bangunan daerah rawan longsor adalah suatu hal yang penting dalam mitigasi bencana alam. Longsor dapat terjadi di mana saja dan kapan saja, dan dapat menyebabkan kerugian yang besar baik dari segi manusia maupun materiil (fadli dkk, 2023). Oleh karena itu, penting untuk mengidentifikasi bangunan yang berada di daerah rawan longsor agar dapat mengambil tindakan pencegahan yang tepat. Metode yang dapat digunakan untuk identifikasi bangunan di daerah rawan longsor adalah artificial neural network (ANN). ANN adalah suatu model komputasi yang terinspirasi dari sistem saraf biologis yang terdiri dari sejumlah unit pemrosesan sederhana yang disebut neuron. ANN dapat belajar dari data dan menyesuaikan bobot koneksi antar neuron untuk menghasilkan keluaran yang diinginkan. ANN memiliki kemampuan untuk mengenali pola, mengklasifikasikan data, dan memprediksi hasil. Berdasarkan analisis data klasifikasi dinding sederhana di Kecamatan Kalirejo, Kecamatan Kokap, Kabupaten Kulon Progo, Yogyakarta, menggunakan Artificial Neural Network (ANN), presentase prediksi setiap data dari pemodelan ANN menunjukkan bahwa indikator Bangunan Tidak Aman mencapai 100%, dengan 89% prediksi Bangunan Aman, dan 82,7% prediksi Bangunan Aman berdasarkan History Accuracy. Hasil tersebut diukur dengan merujuk pada kurva model validasi yang semakin meningkat dan stabil, mencapai nilai akurasi rata-rata di atas 80%, yakni sebesar 88%.
Penggunaan Metode Elbow untuk Pemilihan Jumlah Klaster dalam Identifikasi Bahan Material Shelter Modular SARI, SELY NOVITA; Pratama, Bagus Gilang; Prastowo, Rizqi
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Modular shelters have become a popular solution for temporary infrastructure construction, especially in disaster-affected areas. One of the main challenges is selecting the appropriate materials, which can be addressed through cluster analysis to group materials based on similar characteristics. The Elbow Method is used to determine the optimal number of clusters in this analysis, with the "elbow" point on the graph indicating that four clusters are ideal. The K-Means algorithm is then applied to group material data based on the centroid of each cluster. The application of the Elbow Method has proven effective in determining the optimal number of clusters for material identification in modular shelter construction. By analyzing the relationship between the number of clusters and inertia, the Elbow Method successfully indicates that four clusters are the most appropriate. The Elbow graph shows a significant "elbow" after the third and fourth clusters, where the decrease in inertia slows down, indicating that adding more than four clusters does not significantly improve data grouping. Quantitatively, clustering with four clusters provides a balance between data variation and ease of interpretation. Each cluster exhibits distinct characteristics based on the average values of structural and architectural attributes, with variability measured through standard deviation
PENELITIAN DISTRIBUSI SUMBER DAYA ANDESIT BERDASARKAN DATA RESISTIVITAS MENGGUNAKAN METODE GEOELEKTRIK SCHLUMBERGER Aldri, Riaferdo; Isjudarto, Agustinus; Prastowo, Rizqi
KURVATEK Vol 10 No 2 (2025): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v10i2.6408

Abstract

Penelitian ini bertujuan untuk mengidentifikasi sebaran batuan andesit di Kecamatan Bener, Kabupaten Purworejo, Jawa Tengah, menggunakan metode geolistrik konfigurasi Schlumberger. Sebanyak 37 titik pengukuran dilakukan dengan bentangan kabel 200 meter untuk memperoleh data tahanan jenis bawah permukaan. Hasil inversi resistivitas menunjukkan nilai berkisar diatas 900 Ωm yang menandakan keberadaan batuan andesit segar dengan kondisi fisik padat dan belum mengalami pelapukan. Model 3D memperlihatkan sebaran andesit yang dominan pada arah baratlaut–tenggara dengan kedalaman antara 0,1 hingga 0,4 km dari permukaan. Persebaran ini berasosiasi dengan struktur vulkanik Formasi Andesit Tua yang berkembang di wilayah tersebut. Secara umum, hasil penelitian menunjukkan bahwa metode geolistrik efektif untuk memetakan distribusi batuan beku bawah permukaan dan memberikan informasi geologi yang penting bagi perencanaan pemanfaatan sumber daya alam di Kecamatan Bener.
PENDUGAAN SUMBER AIR TANAH DI DAERAH DESA KREMBANGAN, KEC. PANJATAN, KAB. KULON PROGO, D.I. YOGYAKARTA DENGAN METODE GEOLISTRIK KONFIGURASI SCHLUMBERGER Prastowo, Rizqi; Sugarbo, Oky; Hidayat, Eko Wahyu
Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Vol. 9 No. 3 (2025): Vol. 9 No. 3, November 2025
Publisher : Lembaga Penelitian dan Pengabdian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jss.v9i3.513

Abstract

Desa Krembangan memiliki kondisi geologi yang beragam, mulai dari dataran berlempung di bagian selatan hingga perbukitan batugamping yang kering di bagian utara. Variasi karakter batuan tersebut menyebabkan distribusi air tanah yang tidak merata, sehingga sebagian masyarakat, terutama di wilayah tengah dan utara, mengalami kesulitan dalam memperoleh air bersih pada musim kemarau. Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan informasi awal mengenai potensi akuifer melalui survei geolistrik resistivitas menggunakan konfigurasi Schlumberger. Dua lintasan pengukuran sepanjang masing-masing 200 meter ditentukan berdasarkan kondisi geomorfologi dan aksesibilitas lapangan. Akuisisi data dilakukan dengan metode sounding, yaitu memperbesar jarak elektroda arus secara bertahap untuk memperoleh penetrasi kedalaman yang lebih baik. Hasil pengukuran kemudian diolah menggunakan pemodelan inversi resistivitas untuk menghasilkan penampang bawah permukaan. Nilai resistivitas rendah (<1 Ωm) diinterpretasikan sebagai zona jenuh air. Berdasarkan hasil pemodelan, akuifer teridentifikasi pada kedalaman sekitar 15–18 meter dengan ketebalan bervariasi antara 0,5 hingga 2 meter. Informasi ini diharapkan dapat digunakan sebagai dasar dalam penentuan lokasi sumur bor yang lebih tepat, sehingga mampu meningkatkan ketersediaan air bersih bagi masyarakat Desa Krembangan secara berkelanjutan.
Application of Mine Dewatering Methods to Reduce Wastewater Pollution in The Environment: Implications for Andesite Mining A.A Inung Arie Adnyano; Rizqi Prastowo; Muhammad Nauval Bahy; Syouma Hikmahtiar; Ahmad Said; Abdul Latif Ashadi
International Journal of Hydrological and Environmental for Sustainability Vol. 1 No. 1 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1162.692 KB) | DOI: 10.58524/ijhes.v1i1.68

Abstract

Wastewater pollution in mining areas often occurs and becomes a problem in the surrounding groundwater aquifer system. One of the efforts to determine the distribution of wastewater pollution is to calculate the discharge and volume of wastewater. In this study, an open channel in the form of a ditch or commonly referred to as a drainage system is carried out to determine the total water discharge entering the research location, design the dimensions of the sump and design the optimal cross-sectional dimensions of the ditch to overcome the discharge of water that comes out and pollutes the environment. The method used is to make an open channel in the form of a trapezoid to be used around the andesite rock mining site which then drains the mine water to the setlingpond. Efforts to drain the water that has entered the main sump (mine dewatering system) are carried out by making wells, after which the waste water is channeled into the settling pond using a pump. From the results of the study, information was obtained that the total water discharge entering the sump was 235,175 m so that the volume of the sump made was 300 m with dimensions of top area: 20m x 10m, bottom area: 10m x 10m, with a depth of 2m for total water discharge for ditches. 0.0237 m so that the volume of the trench made is 0.228 m.
The Effectiveness of Sump Dimension Design: A Case Study in Nickel Mining Excellentia Riane Kapugu; A.A. Inung Arie Adnyano; Rizqi Prastowo; Akhmad Zamroni; Manmeet Kaur; Nameeta Brahme
International Journal of Hydrological and Environmental for Sustainability Vol. 1 No. 1 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1322.095 KB) | DOI: 10.58524/ijhes.v1i1.69

Abstract

The presence of water in mining activities is common, especially in tropical areas that have high rainfall, such as the research location at PT ANTAM Maluku Utara at the Moronopo Site. While the sump maintenance needs to be considered so that the sump can accommodate the incoming discharge. The purpose of this research is to calculate the total discharge entering the mine and to design the dimensions of the sump according to the incoming water discharge. The research method used is the Gumbel method starting from the analysis of rainfall data at the research location starting in 2004-2013 and then continuing with 2019-2020 data, the planned rainfall value is 96.56 mm/day, rainfall intensity is 15.63 mm/day hours with a rain return period of 25 years and a hydrological risk of 18.46 % and the total inflow of mine water is 17,556 m3/hour. After calculating the sump capacity in the Danis 2 area, it still has not accommodated the incoming discharge with the remaining unaccommodated discharge of 2,319.1 m3/hour.
Fast Building Identification Using Fuzzy Soft Set Based on Rapid Visual Building (RVS) Sely Novita Sari; Rizqi Prastowo; Iwan Tri Riyadi Yanto; Korhan Cengiz; Basak Ozyurt; Tuna Topac
International Journal of Hydrological and Environmental for Sustainability Vol. 1 No. 2 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1249.556 KB) | DOI: 10.58524/ijhes.v1i2.87

Abstract

Building damage can be caused by disasters such as earthquakes, landslides, etc. To minimize the fatality, the identification of buildings is needed to know the condition of buildings and whether the construction of buildings is able to endure if the disasters happen. This research uses the Rapid Visual Building (RVS) method to identify the building condition. The data are collected from  Kalirejo, Kulon Progo. The survey is conducted by taking a simple building evaluation form (typical of the walls ) based on RVS data. The field assessment results are distinguished into several factors that affect the condition of typical building walls: the foundations, structures, walls, and roofs of the 11 categories on the assessment form. From the data obtained, it is used to classify the building condition using Fuzzy Soft Set. The results show that the classification has been made with good performance in terms of accuracy, precision and time response. The accuracy and recall are close to 100% with above 50% of prevision average and time response is quite 0.0051 second. Thus, it can be used to  predict the condition of buildings accurately.
Co-Authors A.A Inung Arie Adnyano A.A. Inung Arie Adnyano 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 Andy Erwin Wijaya Andyono B. Santoso Angger Bagus Prasetiyo Anggi Hermawan Anita Susiana Bagus Gilang Pratama, Bagus Gilang Basak Ozyurt Berwyn Dzaky Radhitya Berwyn Dzaky Radhitya Dandi Pranomo Dyah Arum Arimurti Eko Wahyu Hidayat, Eko Wahyu Excellentia Riane Kapugu Fahrul Nurfajri Mokoagow Fajar Yulianto Prabowo Fajri Farid Filipus Alfriyadi Junaidi firhad firmansyah Hasan Said Tortop Hendro Purnomo Herman, Sofiana Hidayatullah Shidiq hidayatullah sidiq Hurien Helmi Ichwan Noor Ardiyat Ikah N. P. Permanasari Ilham Mopio Iman Pradana A. Assagaf Iqbal, Mochamad Iwan Tri Riyadi Yanto Jemssy Ronald Rohi Jermsittiparsert, Kittisak Junior, Prince Robert Keodouangdy Yongthong Kittisak Jermsittiparsert Korhan Cengiz Manmeet Kaur Melfa Utari Muhamad Syazali Muhammad Hafizh Hibullah Muhammad Nauval Bahy Nameeta Brahme Nanda Juli Setiawan Novandri Kusuma Wardana Oggi Heical Ardian Oggi Heicqal Ardian Oky Sugarbo Oky Sugarbo Paramitha Tedja Trisnaning Partama Misdiyanta Puspasari, Fitri Rahmad Junaidi, Rahmad Randy Galaxy Rita Desiasni Rizal Maulana Rizal Maulana, Rizal Rofiqul Umam Sabrina Putri Puspitasari Sely Novita Sari Setyo Pambudi Setyo Pambudi Shilvyanora Aprilia Rande, Shilvyanora Syamsul Huda Syamsul Huda Syouma Hikmahtiar Tarumasely, Nofry Hence Tedy Kurniawan Tortop, Hasan Said Tri Nugroho Suwarno Tuna Topac Urip Nurwijayanto Prabowo Urip Nurwijayanto Prabowo Urip Nurwijayanto Prabowo, Urip Nurwijayanto Veronica Diana Anis Anggorowati Vico Luthfi Ipmawan Vishal R. Panse Yogesh Murkute Yonathan Ito Yoshitaka Mitsui