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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 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 Kumparan Fisika Indonesian Review of Physics (IRiP) Jurnal Fisika Indonesia Indonesian Journal of Electrical Engineering and Computer Science Journal of Community Service and Empowerment 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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PENGEMBANGAN SISTEM AKUISISI DATA KELEMBABAN DAN SUHU DENGAN MENGGUNAKAN SENSOR DHT11 DAN ARDUINO BERBASIS IOT Kabul Setiya Budi; Yudhiakto Pramudya
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 6 (2017): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2017
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.39 KB) | DOI: 10.21009/03.SNF2017.02.CIP.07

Abstract

Has been developed an acquisition system  data of humidity and temperature by using DHT11 censor and Arduino. Data which have been read by censor of DHT11 then processed by Arduino and then sent to a webserver that is thingspeak. To send data to the web server, used ESP8266 module’s to access wifi signal of portable hotspot. Data of censor of DHT11 then presented in thingspeak with graph form. Temperature data read by DHT11 compared to data read by censor of thermocouple vernier. And then calculated value of error reference that is 1,73%. Keywords: Temperature and Humidity, ESP8266, DHT11, Thingspeak
Studi pengaruh volume ruang bakar pada kinerja sepeda motor empat langkah sebagai aktivitas dalam project-based learning termodinamika di sekolah menengah kejuruan Budi Utama; Yudhiakto Pramudya; Abu Yazid Raisal
Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Vol 13, No 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bfi-jifpa.v13i2.23173

Abstract

Termodinamika jarang diajarkan dengan kegiatan praktik. Penelitian dilakukan untuk menginvestigasi kinerja mesin kendaraan bermotor berkaitan dengan efisiensi penggunaan bahan bakar. Kinerja mesin dapat diajarkan dengan pendekatan Project Based Learning. Modifikasi volume ruang bakar pada kepala silinder dilakukan untuk mengubah kinerja mesin. Tekanan dan daya yang dimiliki oleh sebuah mesin kendaraan merupakan komponen utama pada kinerja mesin. Hasil analisis data pada modifikasi ruang bakar diperoleh diameter sebelum dimodifikasi 50 mm menjadi 54 mm, TMA dari 49,5 mm menjadi 54 mm, TMB dari 5,5 mm menjadi 3,5 mm, rasio kompresi dari 9 : 1 menjadi 15 : 1. Hal ini menyebabkan konsumsi bahan bakar dari 86,5 ml menjadi 89,5 ml pada putaran 6000 rpm, dari 62,33 ml menjadi 64,166 ml pada 4000 rpm, dari 48,166 ml menjadi 50 ml pada 2000. Modifikasi ini mengakibatkan kenaikan pada energi panas yang masuk ke sistem yaitu 0,1 kJ, efisiensi termal naik 0,1%, kerja bersih naik 0,4 kJ, dan tekanan efektif rata-rata naik sebesar 0,3 N/cm2.  Study of the Effect of Combustion Chamber Volume on Four-Step Motorcycle Performance as an Activity in Thermodynamics Project Based Learning in Vocational High Schools. Thermodynamics is rarely taught with practical activities. The research was conducted to investigate the performance of motorized vehicle engines related to fuel efficiency. Machine performance can be taught with a Project Based Learning approach. Modification of the volume of the combustion chamber on the cylinder head is done to change engine performance. The pressure and power possessed by a vehicle engine are the main components of engine performance. The results of data analysis on the modification of the combustion chamber obtained the diameter before being modified from 50 mm to 54 mm, TMA from 49.5 mm to 54 mm, TMB from 5.5 mm to 3.5 mm, compression ratio from 9: 1 to 15: 1. This causes fuel consumption from 86.5 ml to 89.5 ml at 6000 rpm, from 62.33 ml to 64.166 ml at 4000 rpm, from 48.166 ml to 50 ml at 2000. This modification increases energy. The heat entering the system is 0.1 kJ, the thermal efficiency increases by 0.1%, the net work increases by 0.4 kJ, and the average effective pressure increases by 0.3 N/cm2.
Development of Augmented Reality Media Based On Cybernetic Learning Theory to Stimulate Spatial Abilities Andriyani Andriyani; Joko Lianto Buliali; Yudhiakto Pramudya
Journal of ICSAR Vol 6, No 2 (2022): July
Publisher : Department of Special Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um005v6i22022p151

Abstract

Hearing impairment students have limited vocabulary and have difficulty understanding abstract terms, which affects learning the concept of a plane solid figure that they know at school. Deaf students tend to have difficulty perceiving objects from a certain point of view and understanding the relationship between these objects in a particular space. These difficulties affect students' spatial abilities and require special handling in the form of learning-oriented to the learning process, not learning outcomes. The learning process itself can be determined by information systems such as the basis of cybernetic theory and supported by information technology-based interactive learning media. Therefore, this study aims to develop augmented reality media based on cybernetic learning theory to stimulate valid and practical spatial abilities of deaf students. The research and development model carried out in this study is the Borg and Gall model, which has systematic and descriptive steps for practical problems in teaching through applied research. Researchers collected data through validation questionnaires and student response questionnaires. Data analysis was carried out qualitatively and quantitatively. The augmented reality media developed here can be said to meet the criteria of validity and practicality based on the results of the product feasibility test. This media has also proven to be a solution in helping teachers to stimulate the spatial abilities of deaf students through a meaningful learning process determined by a technology-assisted information system
Comparison of aftershock behavior of the flores sea 12 december 1992 and 14 december 2021 Adi Jufriansah; Azmi Khusnani; Yudhiakto Pramudya; Mulya Afriyanto
Journal of Physics: Theories and Applications Vol 7, No 1 (2023): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v7i1.71609

Abstract

Over 30 years, the Flores region experienced earthquakes with Mw >7 twice, namely in 1992 and 2021 at shallow depths <60 km. However, the behavior of the aftershocks accompanying the quake has yet to be studied in detail. This research aims to compare the behavior of aftershocks after the main earthquake. This research uses three-lifetime analysis functions, namely, Wilber3, Mustang Web Browser, and comparison of Probability Density Function Hazard. The data used comes from IRIS data and BMKG Online Data. Through graphical analysis, it is known that the data for the time difference for aftershocks follow the RMS distribution, indicating that the Flores Sea aftershock on 12 December 1992 occurred with high intensity on the 3rd and the 6th day after the main earthquake. Meanwhile, the aftershocks in the Flores Sea on 14 December 2021 tended to occur with a more even intensity during the observation period, but the power returned to high on the 7th day
Forecast earthquake precursor in the Flores Sea Adi Jufriansah; Ade Anggraini; Zulfakriza Zulfakriza; Azmi Khusnani; Yudhiakto Pramudya
Indonesian Journal of Electrical Engineering and Computer Science Vol 32, No 3: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v32.i3.pp1825-1836

Abstract

Artificial intelligence (AI) can use seismic training data to discover relationships between inputs and outcomes in real-world applications. Despite this, particularly when using geographical data, it has not been used to predict earthquakes in the Flores Sea. The algorithm will read the seismic data as a pattern of iterations throughout the operation. The output data is created by grouping based on clusters using the most effective WCSS analysis, while the input features are derived from the original international resource information system (IRIS) web service data. Given that earthquake prediction is an effort to reduce seismic disasters, this research is essential. By generating predictions, it can reduce the devastation caused by earthquakes. Using the support vector machine (SVM), hyperparameter support vector machine (HP-SVM), and particle swarm optimization support vector machine (PSO-SVM) algorithms, this study seeks to forecast the Flores Sea earthquake. According to the estimation results, the SVM algorithm’s evaluation value is less precise than that of the HP-SVM, especially the linear HP-SVM and HP-SVM Polynomial models. However, the HP-SVM RBF model’s accuracy rating is identical to that of the traditional SVM model. The improvement of the PSO-SVM model, which has the finest gamma position and a value of 9.
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.
Co-Authors Aan Suciarahmat Abdul Muis Habib Abu Yazid Raisal 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 Deti, Maria Dina Rahmah Maulida, Dina Rahmah Donuata, Pujianti Bejahida Dwi Nova Siti Handayani Dwi Nova Siti Handayani Edwin Ariesto Umbu Malahina Eka Syafutri Faizin , Muhammad Feri Iskandar Firaina, Radha Habib, Abdul Muis Hasbullah Hasbullah Hayyuningtias, Riza hikmatiar, hamzarudin Ishafit Jauhari Jauhari, Ishafit Kabul Setiya Budi Lazwardi, Ahmad Leto, Kristina Theresia Lukmanul Hakim Lukmanul Hakim M. Burhanuddin Latief M. Khairul Ardi Mahfudz, Khawarizmy Margiono Marini Amalia Ocvianti Moh. Irma Sukarelawan Moh. Toifur Muchlas , Muchlas - Muchlas Muchlas Muchlas Muchlas Mulya Afriyanto Mustofa Ahyar Mustofa Ahyar Nur Hamida Siregar Nur Ikhwan Nurfitni, Diana Nurinaya, N. Nurrahman, Arip Okimustava Okimustava Okimustava Okimustava Raharja, Endra Putra Raharja, Surya Putra Rahmatul Bayyinah, Rahmatul Reza Ariefka Ricka Tanzilla Ricka Tanzilla Riza Hayyuningtias Rizky Bayu Kurniawan Sabarudin Saputra Saharul, Saharul Sahlan Sahlan Samana, Fazaki Ramadhani Anwar Saumarachmawati, Putri Ani Servia Shalihin, Rahmat Ryadhush Sina, Tuti Asmianti Siregar, Nur Hamida Siswoyo, Wuryanto Puji Suparwoto Suparwoto Suparwoto Suparwoto Suparwoto Suparwoto Suyadi Suyadi Syafutri, Eka Sya’bania, Nursina Tanzilla, Ricka Triono, Muhklas Ulinnuha Yudiansa Putra Wae, Konsenius Wiran Wahab, Dedi Suwandi Wahyu Saputra Wahyu Saputra Wandira, Cintha Ayu Widodo Widodo Widodo Widodo Yohakim, Yoman Ribeta Ratu Yoky Novra Silta Z. Zulfakriza Zulfakriza, Zulfakriza