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All Journal PROSIDING SEMINAR NASIONAL Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya TARBIYA : Journal Education in Muslim Society Jurnal Pendidikan Fisika FKIP UM Metro Phi : Jurnal Pendidikan Fisika dan Terapan Jurnal Fisika Unand JFA (Jurnal Fisika dan Aplikasinya) Edufisika: Jurnal Pendidikan Fisika JOURNAL ONLINE OF PHYSICS Jurnal Penelitian Pembelajaran Fisika Journal of ICSAR Journal of Geoscience, Engineering, Environment, and Technology International Journal of Science and Applied Science: Conference Series Jurnal Pendidikan Informatika dan Sains JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) JIPF (Jurnal Ilmu Pendidikan Fisika) Journal of Physics: Theories and Applications Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya) Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan Spektra: Jurnal Fisika dan Aplikasinya SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Physics and Its Applications Jurnal Pendidikan Fisika dan Teknologi Jurnal Kumparan Fisika Buletin Ilmiah Sarjana Teknik Elektro Indonesian Review of Physics (IRiP) Jurnal Fisika Indonesia Indonesian Journal of Electrical Engineering and Computer Science Navigation Physics : Journal of Physics Education Jurnal Penelitian Sains dan Pendidikan (JPSP) Prosiding Seminar Nasional Program Pengabdian Masyarakat Jurnal Materi dan Pembelajaran Fisika PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Engineering Science Letter Journal of Novel Engineering Science and Technology Bincang Sains dan Teknologi JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah)
Yudhiakto Pramudya
Universitas Ahmad Dahlan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Studi Gaya Hambat GJB Pada Variasi Luas Permukaan Kertas Cupcake dengan Analisis Video & Python Nurfitni, Diana; Pramudya, Yudhiakto
Navigation Physics : Journal of Physics Education Vol 5, No 2 (2023): Navigation Physics : Journal of Physics Education Vol. 5 No. 2 Tahun 2023
Publisher : UNIVERSITAS INDRAPRASTA PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/npjpe.v5i2.2422

Abstract

The surface area of an object influences the drag force. The character of changes in the drag force of the cupcake paper during free fall motion will be investigated through experiments and analytics. Variations in the surface area of the cupcake paper were carried out to determine its effect on the drag force. Tracker video analysis and Python software were used in this study. With video analysis techniques, we can obtain data regarding the travel time and speed of the cupcake paper during free fall. Next, Python software is used to analyze the data to produce the drag force constant value. The drag force coefficients are 0.00014, 0.00019, 0.0018, and 0.0022 at the bottom surface diameter of the cupcake paper 2.95 cm, 4.22 cm, 5.05 cm, and 5.13 cm. The greater the bottom surface area of the cupcake paper, the higher the coefficient of drag produced, which can result in a greater drag force
Relocation Study of Flores Sea Hypocenter (Mw = 7.3) Based on Single Station Estimation Using ObsPy Khusnani, Azmi; Anggraini, Ade; Jufriansah, Adi; Zulfakriza, Zulfakriza; Pramudya, Yudhiakto; Margiono; Wae, Konsenius Wiran
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.14503

Abstract

One area in Indonesia that is prone to disasters is the Flores Sea area, which has the potential for earthquakes to trigger tsunamis. This is due to the location of Flores, which is in a subduction zone that originates from the collision of the Indo-Australian (South) and Eurasian plates. Inaccuracies in earthquake locations are influenced by differences in residual travel time values, mathematical solutions to location problems, and inaccuracies in the seismic velocity model used. The accuracy of determining the hypocenter of an earthquake influences the location of the earthquake source, which will later be used as a reference in appropriate earthquake disaster mitigation planning. Based on this, an analysis of earthquake hypocenter data is needed, so it is important to carry out research. This research aims to relocate the hypocenter using ObsPy with a single station. The results obtained show that the Python package, namely ObsPy, can carry out data retrieval commands through filtering, detrending, normalisation, and determining data request parameters, such as the start and end times of the desired data, location, network, and data type. This research contributes to the field of seismology because the process of determining the hypocenter requires a relatively short time. Apart from that, the accuracy obtained also provides accurate values.
Pengembangan Sistem Perhitungan Posisi Tampak Bulan pada Koordinat Ekuatorial berbasis Python Wandira, Cintha Ayu; Pramudya, Yudhiakto
EduFisika: Jurnal Pendidikan Fisika Vol 8 No 3 (2023): EduFisika: Jurnal Pendidikan Fisika Volume 8 Nomor 3 December 2023
Publisher : Program Studi Pendidikan Fisika FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59052/edufisika.v8i3.29053

Abstract

In the field of astronomy, it is important to know the position of the moon in equatorial coordinates. However, these calculations can be difficult to do manually. Therefore, a system for calculating the visible position of the moon in Python-based equatorial coordinates has been developed. This system uses a suitable algorithm to calculate the visible position of the moon in equatorial coordinates. The calculation results obtained from this system are then compared with the simulation results from the Stellarium software. System for calculating the visible position of the moon in equatorial coordinates with PythonRA values (alpha): 11h21m36.9s and declination (delta): 8° 28' 23” while the results from the Stellarium software simulation at the same time are RA (alpha): 11h18m0.33s and declination (delta): 8° 25' 18.2”.The results of the comparison show that the system for calculating the visible position of the moon in Python-based equatorial coordinates has a difference in RA of 0h3m36s and declination of 0°3'4.8” from the Stellarium simulation. The error value for the comparison of python calculations with Stellarium is RA = 2% and Declination = 0.6%. This shows that the use of python can simplify calculations with difficult algorithms and the results obtained are quite accurate. Thus, this Python-based system for calculating the visible position of the moon in equatorial coordinates can be used as a tool in the field of astronomy.
An Analytical Study of Suspension Bridge Collapse Based on the Characteristics of the Eigen Values Jufriansah, Adi; Pramudya, Yudhiakto; Lazwardi, Ahmad; Khusnani, Azmi; Nurrahman, Arip; Alip, Isma; Wae, Konsenius Wiran; Wahab, Dedi Suwandi
Engineering Science Letter Vol. 3 No. 02 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i02.540

Abstract

This research discusses an analytical approach to suspension bridge accidents focusing on eigenvalue characteristics. This research uses eigenvalue analysis to explore patterns that may contribute to bridge structural failure. The analysis steps include reducing the model to an uncoupled and linear system, as well as determining homogeneous and non-homogeneous solutions, which helps identify accident-prone patterns. The analysis results also reveal significant differences in dynamic characteristics between safe bridges and those that experience accidents. This research highlights the importance of a deep understanding of eigenvalues in designing, maintaining, and managing suspension bridges. The implication of this research is the development of more effective prevention strategies to improve suspension bridge safety in the future. By analyzing eigenvalues, this research provides deep insight into the factors that influence the stability of suspension bridges. These findings provide a strong foundation for developing recommendations for more effective design, maintenance, and management of suspension bridges. The conclusions of this research can help improve the safety and reliability of suspension bridges worldwide and contribute to civil engineering and infrastructure security.
AI Big Data System to Predict Air Quality for Environmental Toxicology Monitoring Jufriansah, Adi; Khusnani, Azmi; Pramudya, Yudhiakto; Sya’bania, Nursina; Leto, Kristina Theresia; Hikmatiar, Hamzarudin; Saputra, Sabarudin
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.314

Abstract

Pollutants in the air have a detrimental effect on both human existence and the environment. Because it is closely linked to climate change and the effects of global warming, research on air quality is currently receiving attention from a variety of disciplines. The science of forecasting air quality has evolved over time, and the actions of different gases (hazardous elements) and other components directly affect the health of the ecosystem. This study aims to present the development of a prediction system based on artificial intelligence models using a database of air quality sensors.This study develops a prediction model using machine learning (ML) and a Decision Tree (DT) algorithm that can enable decision harmonization across different industries with high accuracy. Based on pollutant levels and the classification outcomes from each cluster's analysis, statistical forecasting findings with a model accuracy of 0.95 have been achieved. This may act as a guiding factor in the development of air quality policies that address global consequences, international rescue efforts, and the preservation of the gap in air quality index standardization.
Suspension Bridge Estimation Method using the Fokker-Planck Model Jufriansah, Adi; Lazwardi, Ahmad; Pramudya, Yudhiakto; Nurrahman, Arip; Khusnani, Azmi; Yohakim, Yoman Ribeta Ratu
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.536

Abstract

The failure of the suspension bridge has been known since the beginning of the bridge collapse. Most of these failures form the basis of current engineering knowledge. One of the factors of failure is human-made factors related to the calculation of the bridge estimate. This paper presents an indirect estimation method using numerical simulation using finite elements by analyzing the Fokker-Planck model when dynamic excitation is associated with bridge loads. The results show that the Fokker-Planck model's homogeneous form can take into account the solution for the bridge analysis approach. It leads to a stable state when giving mass variations to the model. The indirect estimation method using finite elements can estimate the cable tension with controllable weak damping. It can be concluded that the method in this study is more accurate and convenient for the application technique.
Study of Light Pollution Characteristics in Berau with Sky ‎Quality Meter Bayyinah, Rahmatul; Pramudya, Yudhiakto
Journal of Physics and Its Applications Vol 6, No 2 (2024): May 2024
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v6i2.20112

Abstract

The quality of night sky conditions can affect the results of astronomical ‎observations and ‎the ‎survival of wildlife, one of which is sea turtles. One of the causes of the ‎declining quality of ‎the night ‎sky is light pollution. To identify a location's light pollution ‎levels and the quality ‎of the night sky, it ‎is possible to measure the night sky brightness with ‎the Sky Quality ‎Meter (SQM). This ‎research specifically focuses on assessing night sky conditions in Berau, an important sea turtle conservation area, through analysis of SQM. By conducting observation through the period May-July 2022, covering each of the different moon phase, the objectives of this research to quantify the brightness of the night sky in Berau, measured in magnitude per arc square (‎mag/arcsec2) to describe the characteristics of light pollution in Berau and interpreted on the Naked Eye Limiting Magnitude (NELM) scale and the Bortle scale. Based ‎on the research results, ‎the highest frequency probability distribution was ‎observed from the ‎value of the sky brightness ‎level measured using SQM in Berau, with the ‎highest value ‎obtained at the new moon phase, 19.60 ‎mag/arcsec2, the conversion value in ‎NELM being ‎‎4.68, and in the Bortle scale, grade 7 with the ‎suburban transition category. ‎And for the ‎lowest value obtained at the time of the full moon ‎phase, 16.66 mag/arcsec2 with ‎a ‎conversion value in NELM of 2.26, and on the Bortle scale, it is in ‎class 9 with the ‎category ‎of the inner-city sky.‎
Fiqh of Disaster: A Development of Landslide Mitigation-Preparedness Module Based on the Transdisciplinary Islamic Approach Shalihin, Rahmat Ryadhush; Rosa Bustam, Betty Mauli; Pramudya, Yudhiakto; Suyadi, Suyadi
TARBIYA: Journal of Education in Muslim Society TARBIYA: JOURNAL OF EDUCATION IN MUSLIM SOCIETY | VOL. 9 NO. 1 2022
Publisher : Faculty of Educational Sciences, Syarif Hidayatullah State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/tjems.v9i1.30159

Abstract

AbstractThe purpose of this research is to create a non-formal module on the fiqh of disaster as part of an effort in landslide mitigation-preparedness using a community-oriented in Indonesian society. Indonesia is strategically placed in the ring of fire, making the main areas vulnerable to natural disasters. As one of the most prominent Muslim organizations in Indonesia, Muhammadiyah, with fiqh of disaster attempts to provide direction for society on disaster management based on Islamic norms and regulations. In this study, we use a transdisciplinary Islamic approach within the key fields of Islamic education, Islamic jurisprudence, and disaster jurisprudence, and physics (inclined plane). The research method used in this study is R&D under the ADDIE model, with five steps: analysis, design, development, evaluation, and analysis. This study included data document evaluation and questionnaires as data collection, whereby content analysis, product development, and product feasibility are all data analysis methodologies. The results showed that the module on landslide mitigation for society is well executed. The material examiner obtained a total score of 22 with a percentage of 91% and rated it "very valid.” The subject examiner obtained a total score of 13 with a percentage of 81% and rated it "very valid." This study provides recommendations for further Implementation in the form of the effectiveness of modules for the community based on ADDIE phases. In addition, it is hoped that the study can be developed in the post-disaster stage so that researchers, policymakers, the government, and the community in landslide disaster management can use it.                                                   AbstrakTujuan dari penelitian ini adalah untuk membuat modul nonformal fikih kebencanaan sebagai bagian dari upaya kesiapsiagaan penanggulangan tanah longsor dengan pendekatan community-oriented pada masyarakat Indonesia. Letak Indonesia yang strategis di ring of fire membuat wilayah-wilayah utama rentan terhadap bencana alam. Sebagai salah satu ormas Islam terkemuka di Indonesia, Muhammadiyah dengan fikih kebencanaan berupaya memberikan arahan kepada masyarakat tentang penanggulangan bencana berdasarkan norma dan aturan Islam. Dalam studi ini, kami menggunakan pendekatan Islam transdisipliner dalam bidang-bidang utama pendidikan Islam, fikih Islam, fikih kebencanaan, dan fisika (bidang miring). Metode penelitian yang digunakan dalam penelitian ini adalah R&D dengan model ADDIE, dengan lima langkah yaitu analisis, desain, pengembangan, evaluasi, dan analisis. Kajian ini meliputi evaluasi dokumen data dan kuesioner sebagai pengumpulan data, dimana analisis isi, pengembangan produk, dan kelayakan produk merupakan metodologi analisis data. Hasil penelitian menunjukkan bahwa modul penanggulangan longsor untuk masyarakat terlaksana dengan baik. Penguji materi memperoleh skor total 22 dengan persentase 91% dan dinilai “sangat valid”. Penguji mata pelajaran memperoleh skor total 13 dengan persentase 81% dan menilainya “sangat valid.” Penelitian ini memberikan rekomendasi Implementasi selanjutnya berupa efektivitas modul untuk masyarakat berdasarkan tahapan ADDIE. Kajian ini diharapkan dapat dikembangkan pada tahap pascabencana sehingga dapat dimanfaatkan oleh para peneliti, pembuat kebijakan, pemerintah, dan masyarakat dalam penanggulangan bencana tanah longsor.How to Cite Shalihin, R. R., Bustam, B. M. R., Pramudya, Y., Suyadi. (2022). Fiqh of Disaster: A Development of Landslide Mitigation-Preparedness Module Based on the Transdisciplinary Islamic Approach. TARBIYA: Journal of Education in Muslim Society, 9(2), 105-122. doi:10.15408/tjems.v9i1.30159.
Estimation of Flores Sea Aftershock Rupture Data Based on AI Jufriansah, Adi; Khusnani, Azmi; Pramudya, Yudhiakto; Afriyanto, Mulya
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.6705

Abstract

The earthquake catalog notes that there have been earthquakes with Mw > 7 that hit the Flores area, three of which occurred in the Flores Sea in 1992, 2015, and 2021. Revealed that the seismic activity of Eastern Indonesia is thought to be influenced by the isolated thrust fault segment of the island of Flores and the island of Wetar. The study of the rising fault segment on Flores Island and Wetar Island helps in further understanding the fault behavior, earthquake pattern, and seismic risk in the Flores Sea region. In earthquakes with giant magneto, an aftershock can occur due to the interaction of ground movements. This research analyzes and compares the data from the evaluation of the classification algorithm and the regression algorithm. The initial stages of this research include requesting IRIS DMC Web Service data. The data is then subjected to a cleaning process to obtain the expected feature extraction. The next stage is to perform the clustering process. This stage is carried out to label dependent data by adding new features as data clusters. The following procedure divides the validation value, which consists of training and test data. The estimation results show that the classification algorithm's evaluation value is better than that of the regression algorithm. The evaluation value of several algorithms indicates this, with an accuracy rate between 80% and 100%.
A Comparative Study of Sound Resonance Using Arduino-Based Ultrasonic Sensors and Visualization Analysis with Python Iskandar, Feri; Pramudya, Yudhiakto
Jurnal Materi dan Pembelajaran Fisika Vol 14, No 2 (2024): Jurnal Materi dan Pembelajaran Fisika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jmpf.v14i2.93454

Abstract

In the modern era, the study of sound resonance in physics laboratories has increasingly incorporated technological tools to improve the experimental process. While conventional approaches to resonance experiments remain common, they often face challenges related to equipment setup and limited real-time data analysis. This research compares conventional methods with Arduino-based techniques, combined with Python for data visualization and analysis, in sound resonance experiments. The integration of Arduino microcontrollers and ultrasonic sensors offers a more accessible and streamlined alternative to conventional resonance measurement techniques, facilitating improved data collection and interpretation. Data is gathered using PLX DAQ software connected to the Arduino system, with the results visualized and analyzed using Python tools. The experiments show that the average air column length when the water in the reservoir was lowered is 16.10 cm, with an error of 3.04%, and when the water was raised, the average length is 15.60 cm, with an error of 5.98%. A 512 Hz sound source was used to determine the fundamental frequency, revealing slight variations due to changes in the measurement distance. Specifically, the fundamental frequency was recorded as (528 ± 5) Hz when the water level was lowered and (545 ± 8) Hz when it was raised. This study highlights the positive role of technology in enhancing physics education and research, particularly in sound resonance studies.
Co-Authors Aan Suciarahmat Abdul Muis Habib Abu Yazid Raisal Ade Anggraini Adi Jufriansah Afriyanto, Mulya Alip, Isma Andriyani Andriyani Anggraini, Ade Anisatur Rofiqah, Siti Arfiani Nur Khusna Azmi Khusnani Bayu Nugroho Bayu Nugroho Betty Mauli Rosa Bustam Budi Utama Buliali, Joko Lianto Deidra Robertha Anggraeny Noel Desi Susanti Deti, Maria Dina Rahmah Maulida, Dina Rahmah Donuata, Pujianti Bejahida Dwi Nova Siti Handayani Dwi Nova Siti Handayani Edwin Ariesto Umbu Malahina Eka Syafutri Feri Iskandar Firaina, Radha Habib, Abdul Muis Hamzarudin Hikmatiar Handayani, Dwi Nova Siti Hasbullah Hasbullah Hayyuningtias, Riza Hidayah, Rihmah Alifah hikmatiar, hamzarudin Ishafit Ishafit Ishafit Jauhari Isma Alip Jauhari, Ishafit Kabul Setiya Budi Kartika Firdausy Khoirunnisa, Itsnaini Irvina Konsenius Wiran Wae Lazwardi, Ahmad Leto, Kristina Theresia Lukmanul Hakim Lukmanul Hakim M. Burhanuddin Latief M. Khairul Ardi Mahfudz, Khawarizmy Margiono Marini Amalia Ocvianti Maulidan, Muhammad Moh. Irma Sukarelawan Moh. Toifur Muchlas , Muchlas - Muchlas Muchlas Muchlas Muchlas Murinto Murinto Murti, Bayu Krisna Mustofa Ahyar Mustofa Ahyar Nur Hamida Siregar Nur Ikhwan Nurfitni, Diana Nurrahman, Arip Okimustava Okimustava Okimustava Okimustava Putra, Iqbal Adi Raharja, Endra Putra Rahmatul Bayyinah, Rahmatul Reza Ariefka Ricka Tanzilla Ricka Tanzilla Riza Hayyuningtias Rizky Bayu Kurniawan Sabarudin Saputra Saharul Saharul Saharul, Saharul Sahlan Sahlan Samana, Fazaki Ramadhani Anwar Saumarachmawati, Putri Ani Servia Shalihin, Rahmat Ryadhush Sina, Tuti Asmianti Siregar, Nur Hamida Siswoyo, Wuryanto Puji Sukatin, Sukatin Suparwoto Suparwoto Suparwoto Suparwoto Suparwoto Suparwoto Suyadi Suyadi Syafutri, Eka Sya’bania, Nursina Tanzilla, Ricka Ulinnuha Yudiansa Putra Wae, Konsenius Wiran Wahab, Dedi Suwandi Wahyu Saputra Wako, Mohamed Yusuf Wandira, Cintha Ayu Widodo Widodo Widodo Widodo Yohakim, Yoman Ribeta Ratu Yoky Novra Silta Yoman Ribeta Ratu Yohakim Z. Zulfakriza Zulfakriza, Zulfakriza