bluuebunny/crossref_metadata_2025_split huggingface dataset:
A unified description of atomic physics for electron Fokker–Planck calculations
Authors: Savoye-Peysson Y. , Mazon D. , Bielecki J. , Dworak D. , Król K. , Jardin A. , Scholz M. , Walkowiak J. , Decker J. 
Published: October 2023

Abstract
Most realistic kinetic calculations for tokamak plasmas are now required to incorporate the effect of partially ionized high-Z elements arising either from uncontrolled influxes of metallic impurities, such as tungsten in high input power regimes or from mitigation of runaway electrons generated after possible major disruptions by massive gas injection. The usual electron–ion Fokker–Planck collision operator must therefore be modified, because all plasma atoms are not entirely ionized, as is the case for light elements. This represents a challenge, in order to perform fast but also accurate calculations, regardless of the type of element present in the plasma, but also their local levels of ionization while covering a wide range of electron energies in a consistent way, from a few keV to tens of MeV in plasmas whose electron temperature may itself vary from 10 eV to several keV. In this context, a unified description of the atomic models is proposed, based on a multi-Yukawa representation of the electrostatic potential calibrated against results obtained by advanced quantum calculations. Besides the possibility to improve the description of inner and outer atomic shells in the determination of the atomic form factor, this model allows one to derive analytical formulations for both elastic and inelastic scattering, which can then be easily incorporated in kinetic calculations. The impact of the number of exponentials in the description of the atomic potential is discussed, and a comparison with simple and advanced atomic models is also performed.
Turbulence stabilization in tokamak plasmas with high population of fast ions
Authors: Kim D. , Park S.J. , Choi G.J. , Cho Y.W. , Kang J. , Han H. , Candy J. , Belli E.A. , Hahm T.S. , Na Y.-S. , Sung C. 
Published: October 2023

Abstract
This letter provides a new physical insight into the fast ion effects on turbulence in plasmas having a high fast ion fraction and peaked fast ion density profile. We elucidate turbulence stabilization mechanisms by fast ions that result in internal transport barrier formation in the fast ion regulated enhancement mode plasma. Both linear and nonlinear gyrokinetic simulations show that the dominant turbulence suppression mechanisms are the dilution effects. In particular, we find that turbulence can be sufficiently suppressed solely by an inverted main ion density gradient due to fast ions, for the first time. New physical findings reported here improve our understanding of fast ion effects on turbulence, essential for fusion energy production where . Moreover, they will open up a new methodology to control plasma turbulence applicable to a wide range of plasma confinement regimes.
A Quantitative interpretation of salt water mixture in the shallow aquifer through the geoelectrical resistivity data
Authors: Islami Nur , Irianti Mitri 
Published: October 2023

Abstract
The main problem of groundwater in coastal areas is the intrusion of saltwater into freshwater aquifers. This study aims to predict the amount of saltwater content in aquifers polluted by intro-sea saltwater. In this study, an attempt is made to provide a direct correlation approach for resistivity measurements with the physical characteristics of groundwater. A 2D resistivity survey with the Wenner configuration have been carried out in the coastal area. The geoelectrical resistivity survey is about 3 km from the shoreline. The chemical measurement was done on freshwater, seawater and fresh-seawater mixture, which the mixture was consisted of 25%, 50% and 75% of seawater content. The results showed that the resistivity below 5 ohm.m indicated the presence of seawater with a concentration of more than 50% mixed with fresh water. In general, it can be seen that the decrease in resistivity appears to decrease exponentially with increasing seawater content in the aquifer.
Synthesis and characterization of magnetite particles from Syiah Kuala iron sand prepared by co-precipitation method
Authors: Nengsih S , Madjid S N , Mursal  , Jalil Z 
Published: October 2023

Abstract
Iron sand is abundant in Aceh but it has not been supported by maximum efforts to improve the quality and usability of this material, it is only used as a raw material in the industry. This research aims to synthesize and characterize Syiah Kuala iron sand to become magnetite by the co-precipitation method. Prior to synthesis, iron sand was separated from impurities with a bar magnet and sieved with a size of 200 mesh. 37% HCl was added to the iron sand while stirring and heated at 70°C as the first step in the synthesis. After being filtered, the iron sand precipitate was added with 6.5 M NH4OH then stirred and heated. At this stage, a precipitate is formed and then washed until the pH is normal and dried. XRF data shows the total composition of Fe elements and Fe2O3 compounds from Syiah Kuala iron sands is 87.1 mass % and 84.2 mass %, respectively. XRD data shows that iron sand before and after synthesis has the same phase, namely the magnetite phase with a lattice structure of FCC. The high density of magnetite particles showed by SEM but the particle uniformity is still low. The effect of oxidation by outside air during synthesis causes the particles to agglomerate with a size range of 500 nm – 3000 nm. The Fe-O functional group was found from the FTIR analysis. Therefore, the Syiah Kuala iron sand has crystal purity quality and the opportunity to develop in various science and technology applications.
Experimental study on fuel consumption and smoke opacity of defective coffee-bean-based biodiesel fuel engines
Authors: Lapisa Remon , Jayantoni  , Yuvenda Dori , Putra Randi Purnama , Martias  , Waskito  , Ambiyar  
Published: October 2023

Abstract
This experimental study aims to analyse the performance of sorted coffee beans-based biodiesel. This study is carried out in three main stages; (a) the preparation process of coffee beans raw material, (b) the biodiesel formation process, and (c) biodiesel performance analysis. In manufacturing process, the coffee bean powder is added with two chemical treatments sequentially; extraction-distillation and esterification/transesterification. Parameters of analysis in this study are the characteristics of the biodiesel and the performance of the biodiesel-diesel mixture in terms of fuel consumption efficiency and engine smoke opacity. Measurements of Engine Running Time (ERT) and smoke opacity were carried out on a single-piston diesel engine. There were five biodiesel-diesel mixture specimens; B0, B5, B10, B15, and B20 (20% biodiesel fraction). The experimental results show that mixing biodiesel with diesel fuel provides two main advantages; extending engine running time which means fuel consumption efficiency, and lowering the smoke opacity level. Therefore, it is more environmentally friendly. The efficiency of fuel consumption and smoke opacity depends on the biodiesel fraction in the fuel mixture. The results and methodology of this research are expected to be an additional reference in the development of biodiesel as an alternative fuel.
The Effect Of Grain Size To Physico Mechanic Properties Of Particle Board Based On Rice Husk and Liquid Rubber Compound
Authors: Sutanto T D , Putranto A M H , Gustian I , Banon C , Muzahidah A 
Published: October 2023

Abstract
Particle board research produced from a number of grain size of Rice Husk and liquid rubber compound has been carried out. First particle board was produced by mixing rice husk with a number of grain size were 10-25 mesh; 25-50 mesh; 50-75 mesh and <75 mesh with liquid rubber compound as much as 45% to form a particle board with size of 5 x 10 x 7.5 cm in length, width and height and then dried. Then the particle board is pressed to get a thickness of 2.5 cm and then carried out the characterization of the MOR, MOE, screw pull resistance, water content and density. The results showed that the best rice husk particle size was obtained at 25-50 mesh grain size. At this grain size, the value of MOR, MOE, screw pull resistance, water content, and density of particle board were 9054,8 g/mm2; 15090 g/mm2; 69 g/mm2; 4,1% and 0,83 gr/cm3 respectively. The results of this study still do not meet the standards according to SNI 03-2105-2006
Physicochemical study of keratin containing impurities from human nails
Authors: Rahmi Aulia , Widiyati Eni , Nesbah  , Banon Charles , Gustian Irfan 
Published: October 2023

Abstract
The purpose of this research to study of physicochemical properties of keratin from human nails which still contains impurities. The method in this study, keratin from human nail waste was dissolved using NaOH solvent at room temperature, then neutralized to pH 7 using glacial acetic acid. On this report have studied the analysis of functional groups of keratin with impurities, viscosity, melting point, solubility and diffractogram pattern using XRD. The FTIR spectrum shows the transmittance in the wave number 1750-1200 cm−1 which is the characterization region of keratin protein. The intrinsic viscosity of nail keratin was obtained at 0.105 g/dL or 10 g/ml. The melting point of nail keratin was obtained at 210 °C. Keratin solubility test using HCl and NaOH 0.1 M and 1 M respectively, showed that keratin was soluble in strong base NaOH with high concentration. The results of XRD analysis, in a diffractogram pattern without a dominant peak and tend to widen, keratin from human nails is included in the amorphous structure type.
Determination of landslide hazardous map using logistic regression in Lima Puluh Kota Regency
Authors: Ahyuni  , Purwati Indah , Nur Hamdi , Susetyo Bigharta Bekti , Purwaningsih Endah 
Published: October 2023

Abstract
Many ways are done to determine the area of the possibility of landslides based on the factors causing it, which groupings start from a simple (heuristic), statistical to deterministic way. Especially for statistical methods, it is still divided into various statistical methods, one of which is using the logistic regression method. This study aims to use logistic regression to determine the landslide hazardous area in Lima Puluh Kota Regency with landslide events as the dependent variable and landslide occurrence factors as independent variables. The study resulted in areas with high, medium, and low hazard. Thus, the resulting map can be used as a guide for an accuracy scale of 50,000.
Dependence of electronic properties on Coulomb repulsion and electric field in single layer FeI2
Authors: Prayitno Teguh Budi , Budi Esmar , Nuryasin Bagus , Abdillah Muhammad Andrianto , Kartika Marliana Candra 
Published: October 2023

Abstract
The Coulomb repulsion was applied in the framework of LDA+U approach and electric field to find out the electronic properties of a single layer 1T-FeI2. This calculation relies on the density functional theory of non-collinear magnetic structure. From the curve of energy dispersion, increasing the Coulomb parameter and electric field yields an electronic transition from a metallic state to an insulating state. This only holds in case the spin-orbit coupling is incorporated. While the magnetism still holds as the Coulomb parameter is tuned, the magnetism vanishes as the electric field is included. However, as the magnetism disappears, the spin splitting appears when increasing the electric field. This indicates that the Coulomb repulsion and electric field give a prominent impact on the electronic properties in the single layer FeI2 as the spin-orbit coupling is included.
The application on grid-connected solar cells for DC current electronic equipment
Authors: Mairizwan M , Anshari Rio , Dewi Wahyuni Satria 
Published: October 2023

Abstract
The focus of the discussion in this paper is the development of solar cells on the electricity network connected to solar cell energy, the use of energy is selected based on the current mode which aims to optimize the use of energy generated from solar cells. The development of this system is prioritized for consumers who can manage electrical equipment connected to the electricity grid or from solar cells. The development of this system is adjusted to the required hardware and software. The method used is the application of science into technological design. based on the results obtained, there is an energy saving of dc electronic equipment that is connected directly to the MPPT solar cell system of 7.6% when compared to the use of an inverter.
Structural and Small-Angle Scattering Analysis on Melting of Gold Nanoparticle
Authors: Fahdiran Riser , Susila Anggara Budi , Sugihartono Iwan , Handoko Erfan 
Published: October 2023

Abstract
Molecular Dynamics (MD) simulation was used for time evolution of melting dynamics on gold nanoparticle with thickness 8 nm. The systems are heated up from room temperature up to three times melting point in 10 ps to ensure that the system is melted and expanding. After t = 7 ps, the system is collapsed, hence pressure oscillation is vanished. Common Neighbor Analysis (CNA) along with wide angle scattering confirmed the melting state at the end of simulation. While small-angle scattering indicated the expansion of the system, it cannot precisely calculate system radius due to its small size.
Modeling of Crustal Deformation Due To Sumatra Tectonic Earthquakes Based On GNSS Remote Sensing Data
Authors: Ikram Z , Marzuki M , Arisa D 
Published: October 2023

AbstractIndonesia is at the confluence of three large plates, so it often experiences earthquakes. Therefore, earthquake disaster mitigation efforts must be increased. One of the efforts that can help the government prepare a disaster mitigation system for earthquakes and their associated disasters is research on fault deformation. This research utilizes continuous data from the Global Navigation Satellite System (GNSS), especially the Global Positioning System (GPS), which is processed into surface deformation. The crustal deformation was modeled based on the Okada formulation with estimated earthquake parameters and then verified with surface deformation to obtain optimal parameter values. Automation is carried out with a computerized system to speed up the estimation process, and more optimal results are obtained using the Hooke-Jeeves numerical method. We do modeling for tectonic earthquakes in Sumatra during 2005 and 2007 with magnitudes > 8 Mw. The modeling results were validated with seismic data and seismological theory of the seismic moment. The success of this modeling can be taken into consideration in earthquake prediction as part of an earthquake disaster mitigation system.
Arduino based smart home security design using biometric recognition
Authors: Hardyan M , Haqqi F A , Yohandri  
Published: October 2023

Abstract
As a standard feature, smart homes have a lock door that requires a password to open. However, burglars can simply defeat this security measure, and it is impossible to identify the user or person who opens the lock door. The authors are interested in building a system with the name research design of an Arduino-based smart home security system employing biometric recognition based on the aforementioned issues. The purpose of this study is to identify the performance requirements and design of an Arduino-based biometric home security system. This study is an engineering study that tries to identify the performance and design requirements for an Arduino-based smart home security system. The mechanical shape of the tool was created using the performance specification. The properties of the sensor, as well as the accuracy and precision of the tool, serve as the basis for the design specifications. The precision value of each sensor, namely the fingerprint sensor, is extremely good, while the precision values of the PIR sensor and magnetic sensor are 99.56% and 97.87%, respectively. The accuracy value of the sensor on the tool, primarily the fingerprint sensor, is very good.
A flood detection system and flood door control based on Arduino
Authors: Fotian C , Haqqi F A , Yohandri  
Published: October 2023

Abstract
Flooding has become one of the most serious problems for Indonesians, particularly in flood-prone areas. Floods can be hazardous to the community, particularly if they occur suddenly, at night, or at unpredictable times. The answer to these problems is the installation of a flood detection system and a flood barrier door control system. In this paper, a flood detection system and flood door control based on will be presented. Ultrasonic sensors monitor the air level, a SIM800L module delivers signals, a stepper motor operates the door, an LCD shows the air level, and a buzzer offers an immediate warning. The accuracy and precision of the ultrasonic sensor are 98.83% and 99.40%, respectively. Based on the accuracy and precision of the system, it can be concluded that the system can be used for flood control systems.
Analysis of Aloe vera Nano Powder (Aloe vera L.) using X-Ray Diffraction (XRD)
Authors: Putri Lathifa Zonesya , Ratnawulan  
Published: October 2023

Abstract
Aloe vera gel is considered necessary for further processing into high-value products like nano powder due to its complex but easily damaged nutrients. Aloe vera nanopowder is one solution to increase the properties and resistance of Aloe vera so that it can be used for nanotechnology applications, such as thin coatings. In this study, natural gel Aloe vera was converted into Aloe vera powder by adding a concentration of 0.3% Tween 80 and 15% maltodextrin. This method is called the Foam-mat drying method. Using High Energy Milling (HEM-E3D), the powder was mashed for five hours to achieve nanoscale size. The phase of the aloe vera nanopowder was determined by XRD analysis. The peaks 20, which were at an angle of 20°, indicated that the production of the Aloe vera nanopowder was successful. The angle of 20° showed the angle for organic materials and Aloe vera nanopowder is ready to be applied for the fabrication of hydrophobic materials.
Effect of Temperature Variation on Band Gap Value in Thin Layers of Nano Photocatalyst Fe2O3/CuO/MnO2
Authors: Rahmadhani Detty , Ratnawulan Ratnawulan , Hidayati Hidayati , Fauzi Ahmad , Steven Anthoni , Azleen Fahira 
Published: October 2023

Abstract
Water is one of the primary needs of all living things in daily life. However, the availability of clean water is currently starting to decrease along with the decline in the quality and quantity of water in the environment. Industrialization and rapid economic development have caused concern due to the habit of disposing of waste without proper management. Attempts to get clean water free from pollution are to utilize technology with photocatalytic properties that can reduce liquid pollutants with Infra-Red light. The purpose of this study was to determine the optimum conditions of the band gap to photocatalyst by temperature variation. Fe2O3, CuO, and MnO2 are doped semiconductor materials for the application of photocatalyst properties. The materials were milled using a High Energy Milling (HEM-3ED) to obtain nanoparticle sizes. The synthesis was carried out by sol-gel and spin-coating methods to make a thin film in enhancing photocatalytic activity in industrial applications. Characterization was conducted using ultraviolet-visible (Uv-Vis) spectrophotometry analysis. The results showed that temperature affects photocatalyst properties and the band gap value obtained at a temperature variation of 400°C is 1.36 eV which is the most optimum semiconductor band gap energy.
The Effect of Traffic Characteristics on Noise Level in Padang City
Authors: Chandra Deded , Nova Sari , Barlian Eri , Heldi  , Vauzia  
Published: October 2023

Abstract
The purpose of this research is to: 1) identify the characteristics of traffic flow in Padang City, 2) analyze the traffic noise level, and 3) analyze the effect of traffic characteristics on the noise level. Measurements of traffic flow and noise levels were carried out at 14 points on weekdays and holidays using a Sound Level Meter. Analyses used were descriptive statistics, interpolation (GIS), and multiple linear regression. The results showed: 1) Traffic flow characteristics ranged from 412 to 7,530 vehicles per hour on weekdays, and 363 to 7,440 on holidays. 2) The noise level ranges from 65.2-84.8 dBA. 3) The coefficient of determination (R2) of 0.667 on weekdays and 0.633 on holidays shows that motorcycles, light vehicles, and heavy vehicles have an effect of 66.7% on weekdays and 63.3% on holidays. Heavy vehicles have the highest influence of all.
Implementation of Guided Inquiry Learning Model to Improve Student’s Science Process Skills on Water Rocket Topic
Authors: Serevina Vina , Islamiah Nurtsani , Liandari Eka 
Published: October 2023

Abstract
This study aims to determine the application of the Guided Inquiry learning model to improve students’ science process skills on water rocket material at class XII Science 2 Public High School 107, Jakarta in 2021. Guided inquiry consists of presenting problems, making hypotheses, designing experiments, conducting experiments, analyzing data, and making conclusions. This research method used class-room action research which conducted in 2 cycles, each cycle consisting of planning, acting, observing, and reflecting. The indicator of the minimum completion criteria of student’s science process skills on water rocket topic is 75.00. The results of this study in the first cycle showed that the average score of the student’s science process skills on water rocket topic was 70.28. While the result in the second cycle is bigger than the first cycle which is 81.71. From the results obtained, students experienced an increase score and the achievement of minimum completeness criteria indicators. It can be concluded that the implementation of guided inquiry learning models can improve student’s science process skills on water rocket topic.
The effectiveness of STEM-Based Science Teaching Materials in Improving elementary School Students’ Science Literacy
Authors: Made Astra I , Henukh Anderias , Uskenat Kristina 
Published: October 2023

Abstract
Science capability in Indonesia remains below expectations. Science mastery is limited to knowing the facts without being able to connect them to other, more complicated scientific concepts. Science exists to shape mindsets, behavior, and human character so that they can care for themselves, society, and the universe. In order to understand and solve problems, teaching materials that focus on life situations and global issues are required for implementation. The goal of this study was to assess the impact of STEM-based science teaching materials on students’ scientific literacy. This study employed a quantitative research design with a quasi-experimental research design. The Pretest-Posttest Control Group design was used. In this study, a test was used to measure students’ scientific literacy skills by having them answer pretest and posttest questions given to students in the control and experimental classes. Using STEM-based science teaching materials could increase scientific literacy of students with an N-gain score of 70.55 (high), but students who did not use STEM science teaching materials only had an N-gain score of 52.20 (medium). Based on data analysis, it was discovered that using STEM-based science teaching materials was very helpful in enhancing students’ scientific literacy.