bluuebunny/crossref_metadata_2025_split huggingface dataset:
IoT System for Floating Raft Hydroponics: Nutrient Monitoring and Automation
Authors: Purwalaksana A Z , Wahyu S , Ndari W E W , Syah S A , Rismawati E , Kusumadjati A , Suharmanto P 
Published: October 2024

Abstract
The utilization of hydroponic cultivation in agriculture is increasing due to its high productivity even in limited spaces. However, in practice, monitoring and controlling nutrients in hydroponic systems often require intensive human supervision and intervention. This issue can be addressed through technological advancements, particularly with the adoption of microcontrollers, sensors, and the Internet of Things (IoT). Previous research has developed IoT-based monitoring and control systems for DFT hydroponics using the Blynk platform. This study aims to develop an IoT-based nutrient monitoring and automation system for floating raft hydroponics. Floating raft hydroponics was chosen for its simplicity, lower installation costs, and space optimization. The system developed in this study uses the HC-SR04 ultrasonic sensor with an average error of 1.229%, the DS18B20 water temperature sensor with an error of 0.415%, and the TDS sensor with an error of 2.055%. The sensor and actuator measurement data are presented via the Antares Web. This research has the potential to minimize the necessity for manual intervention in hydroponic systems, thereby enhancing both efficiency and consistency in nutrient delivery.
Machine Learning Application to Classify Asteroids Based on Orbital Parameters
Authors: Delina M , Adassuriya J , Azzahra S A , Hussaan A M , Trismidianto  
Published: October 2024

Abstract
A machine learning application was developed to detect Potentially Hazardous Asteroid and mitigate asteroid collision risk with the Earth by applying three classifiers: the K-Nearest Neighbors, Naïve Bayes, and Random Forest. The study determined the most effective classifier for developing an asteroid classification program based on orbital motion. The machine learning classifier was then evaluated by its precision, accuracy, F1-score, and recall in determining Potentially Hazardous Asteroids and non-Potentially Hazardous Asteroids. The result presented Random Forest as the most appropriate classifier with the highest accuracy score of 99.53%, followed by the Naive Bayes classifier with an accuracy score of 92.00%, and the KNN classifier with an accuracy score of 84.45%. The study provided information on the most accurate machine learning classifier with the impact parameters for asteroid classification in an early warning system. By improving an embedded real-time detection system for Potentially Hazardous Asteroids, the study contributes to more effective strategies for mitigating the risk of asteroid impacts and enhancing planetary defence.
Implementation of the MPPT Particle Swarm Optimization Algorithm on a Hybrid PV-TEG Solar Panel with a DC-DC Buck Converter
Authors: Indrasari W , Nuvus A R , Ariyanti S F , Setiadi R N 
Published: October 2024

Abstract
Solar panels necessitate power control to locate the optimal working point amidst quickly changing voltages and diverse weather circumstances. This enables the system to adapt and sustain optimal performance in real-time. In order to address this issue, the optimization methodology known as Maximum Power Point Tracking (MPPT) is employed using an algorithmic artificial intelligence (AI) method. Particle Swarm Optimization (PSO) is a swarm intelligence technique that has effectively tackled diverse optimization issues in intricate systems. The DC-DC Buck Converter, which incorporates Maximum Power Point Tracking (MPPT), serves as an interface between the load and the photovoltaic (PV) system to control the output voltage of the system. A comparison is made between the performance of the Maximum Power Point Tracking (MPPT) technique using the Particle Swarm Optimization (PSO) algorithm and the hill climbing (HC) algorithm developed through MATLAB/SIMULINK simulations. The findings indicate that the PSO algorithm exhibits superior performance in terms of tracking time, output power, and stability, with little fluctuations or noise, as compared to the HC method. The tracking time is 0.02 seconds and 2.52 seconds, respectively. The power at constant irradiation is 14.49 Watts and 14.43 Watts. The power at irradiation variation is 6.98 Watt and 6.96 Watt. The PSO algorithm achieved a remarkable accuracy of 99.76% in this investigation, surpassing that of HC. This enhancement makes the system more effective in acquiring maximum power values.
Utilizing Nata de Pina for Hydrogel Synthesis: Effects of Citric Acid on Hydrogel Characteristics
Authors: Vera Nanda E , Yusmaniar Y , Juniar R , Pratiwi Y 
Published: October 2024

Abstract
The increasing production of pineapples will produce waste that’s increasing anyway. To optimize the utilization of pineapple skin waste One solution is to use the pineapple skin waste To be used as the main material for making nata de pina. Nata de pina is fiber cellulose on the surface of pineapple medium from the results of Acetobacter xylinum bacterial metabolism. The resulting cellulose is then used as a basic material manufacture of natural polimer as hydrogel. The research stage consists of 3 stages, namely making Nata de Pina, the manufacture of hydrogels as well as the characterization of the resulting hydrogels. The method used in hydrogel synthesis is chemical crosslinking with citric acid as a crosslinking agent. Variable variations performed in This study is the use of citric acid concentrations of 35%,37,5%,40%, and 42.5%. Nata de Pina-based hydrogel was successfully synthesized. Hydrogels based on Nata de Pina were successfully synthesized. It is shown based on the results of the FTIR test that the hydrogel has a C=O group that proving that there has been a cross-linking between cellulose and citric acid. The resulting hydrogel has good antibacterial activity against bacteria-positive and negative grams. The best results are shown by hydrogels with 40% concentration where the hydrogel has a maximum tensile strength value by 11.4 MPa. This study aim the innovative use of Nata de Pina, a byproduct of pineapple peel waste, as a novel material for hydrogel synthesis. By employing citric acid as a crosslinking agent, we investigated the effects on the hydrogel’s mechanical and swelling properties. Our findings demonstrate the potential of Nata de Pina-based hydrogels in sustainable material applications, offering an eco-friendly alternative to synthetic polymers.
Susceptibility and Metallics Elements in Soil Struck by Lightning in West Kotawaringin Regency, Central Kalimantan
Authors: Putri M Y , Sudarningsih S , Fahruddin F , Ibrahim I , Rifai H , Hamdan A M 
Published: October 2024

Abstract
Magnetic susceptibility is a magnetic parameter that assesses a magnetic material’s susceptibility to external magnetic fields. Magnetic susceptibility values can determine the properties of magnetic minerals related to the elements they contain. This research aims to determine the value of magnetic susceptibility and metal element content in soil struck by lightning in West Kotawaringin Regency. Sample measurements were performed using the Bartington MS2B instrument to determine the magnetic susceptibility value and XRF (X-ray fluorescence) to determine the metal element content in the soil samples. The magnetic susceptibility value obtained for sample A with low frequency (<10 strikes per month) was 26.1 x 10−8
m
3/kg; for sample B with medium frequency (11–200 strikes per month), it was 538.4 x 10−8
m
3/kg; and for sample C with high frequency (>20 strikes per month), it was 24.4 x 10−8
m
3/kg. Fe (388,000 mg/kg) was the most prevalent metal element in samples B and C, while element V (300 mg/kg) was the least prevalent in sample A. The sample with the highest metal element content was Fe (388,0 mg/kg), while sample A had the lowest metal element content, V (300 mg/kg). The highest correlation value between magnetic susceptibility and metals is 0.9 (K); 0.96 (Cr); 0.98 (Fe); and 1.00 (Ca, Ni, Zn, and Re).
Quantum error correction using multiple nitrogen-vacancy center qubits
Authors: Quraishi Hammad. A. , Majidi Muhammad. A. 
Published: October 2024

Abstract
Quantum error correction (QEC) is crucial for protecting quantum information from the decoherence caused by the interaction between the system and the environment. Many QEC techniques and algorithms have been proposed and demonstrated in various physical platforms at low temperatures, such as superconducting circuits, Rydberg’s atoms, and trapped ions. At room temperature, the QEC realization with nitrogen-vacancy (NV) centers in diamond has become very attractive due to the promising nature of the centers that have a relatively long spin coherence time and can be initialized and read out optically. Here, we investigate the potential realization of a simple repetitive three-qubit QEC scheme in which three NVs are coupled via dipolar coupling. A single NV qubit has been protected using two other coupled NVs which act as ancilla qubits. In this configuration of three NVs, a single NV qubit is protected from bit or phase-flip errors. This work paves the way for realizing five-qubit QEC with NVs at room temperature to preserve a qubit against any arbitrary single-qubit error.
Tolman VII (TVII) Solution with Theory of Energy-Momentum Squared Gravity (EMSG) in Neutron Stars
Authors: Selamat F J , Sulaksono A 
Published: October 2024

Abstract
We study the Tolman VII (TVII) solution for the Energy-Momentum Squared Gravity (EMSG) as well as the solution’s compatibility with stars properties. We perform a systematic analysis of the suitability of the equation of state (EoS) for energy density and pressure profiles. In calculations, for convenience, all physical quantities are expressed in the form of dimensionless quantities by introducing the quantity ζ = r/R. This dimensionless quantity will be used to determine the ratio between a star’s mass and its radius. The TVII solution provides limits on compactness C ∈ [0.01, 0.27] and neutron star’s mass 2.60M
⊙. Having α as a free parameter of the EMSG model gives the new range compactness C ∈ [0.01, 0.386] for ζ[0, 1] with α ∈ [0.01, ∞] and shows a star mass of 2.97M⊙. The metric eλ
effective and the metric eν
effective produce the range of α ∈ [0.1, 0.6], which represents both metric to be physical.
The Effect of Technical Operational Parameter on the Performance Stability of RF-Power Transfer for Cyclotron DECY-13 in Yogyakarta
Authors: Atmono T , Suntoro A , Dwiatmaja A , Piero M R D , Fajarudin R , Permana F S , Putra A E 
Published: October 2024

Abstract
Radio Frequency (RF) power transfer needs special condition in order to achieve high transmission coefficient, the matching condition between source and load must be met. In this case there are 3 important technical operation parameters, namely conductivity of cooling water, vacuum pressure, and magnetic field. They have influence on the impedance of the RF-generator load. An RF-generator of the frequency of 77.76 MHz having power up to 10 kW has been used in the construction of self-built cyclotron DECY-13 by BRIN in Yogyakarta. The experiment showed the increasing of power reflectivity up to 61% by rising of water conductivity 16%, i.e. 0.97 µS/cm, that used for cooling of the entire system inside the cyclotron chamber. The results also showed that the homogeneity of magnetic field from 1,5 to 2,0 ppm has changed the detected of impedance to be ~10 Ω at its real part and ~5 Ω at its imaginary part, by using network analyser based on Schmidt Chart analysis. On the other hand, the effect of vacuum pressure starting at 10−3 mbar to high vacuum have no significant effect on its real and imaginary parts of impedance.
Symmetric Cyclic Quantum Teleportation using Channel Parameter Matrix
Authors: Prabowo Ananto A , Purwanto Agus 
Published: October 2024

Abstract
The Channel Parameter Matrix (CPM) is a matrix containing general variables used to formulate the channel used for transmitting quantum bit (qubit) in quantum teleportation. CPM is an important parameter to describe the whole process in quantum teleportation. The scheme used in this process is symmetric cyclic. In cyclic scheme, there is three parties: Alice, Bob, and Charlie. For symmetric cyclic scheme, Alice sends one qubit to Bob, Bob sends one qubit to Charlie, Charlie sends one qubit to Alice. Then the size of CPM for symmetric is 8 x 8. Further derivation show that CPM depend on normalization constant, unitary matrix, and type of measurement.
Fostering prospective teacher-students to contextualize blackbody radiation in astrophysics
Authors: Sarah Lia Laela , Utama Judhistira Aria , Suhandi Andi 
Published: October 2024

AbstractIn astrophysical concepts, a star can be treated as a blackbody. However, teaching blackbody radiation in physics classrooms is not often relevant to astrophysical contexts. Therefore, prospective teacher-students need to have experiences contextualizing blackbody radiation in astrophysics. This study aimed to investigate how the inquiry lesson activities for teaching blackbody radiation in an astrophysics context, including the design of a simple experimental setup and the worksheets. The experimental setup was designed using affordable equipment like a tungsten bulb, a basic meter, a small piece of compact disk, and a smartphone application called lux meter. By manipulating the voltage across the tungsten filament and measuring the current and intensity using a lux meter, students can calculate its temperature, analyze the spectrum through PHET simulation, and construct a graph of wavelength vs intensity. The method of this study combines a qualitative analysis to describe the resulted spectral by the apparatus, lesson design, and description of the implementation. In addition, quantitative analysis using a quasi-experimental one-group pre-test and post-test design was conducted with prospective teacher-student participants who had taken the astronomy course and are still taking the modern physics course. The results show that inquiry lesson using simple apparatus model and materials positively fosters prospective teacher-students understanding of how to contextualize the blackbody radiation concept in astrophysics.
The Implementation of Case Based Learning in Physics Learning at The Collage: A Systematic Literature Review
Authors: Astuti I A D , Wibawa B , Japar M 
Published: October 2024

Abstract
Physics learning at the college level using the Case-Based Learning approach offers an interactive method through the analysis of real cases or situations relevant by integrating theory with practical applications and enhancing a deep understanding of concepts. The objective of this research is to analyze literature studies on Case-Based Learning in physics education at the university level. This study employs the Systematic Literature Review (SLR) method. Data collection was carried out by documenting and reviewing related articles published between 2014-2024. Based on the search results, a total of 80 relevant articles were obtained, which were then filtered based on inclusion criteria to yield 10 articles used as primary studies. Each article was coded, and then analyzed based on the skills developed from the research findings. The results of the systematic literature review indicate that Case-Based Learning in physics education effectively enhances students’ analytical and problem-solving skills. This approach facilitates the integration of theory and practical applications through real-life case studies, enabling students to develop their critical and analytical thinking skills.
Exploring Students’ Openness Traits for Achieving Meaningful Learning in Modern Physics Concepts
Authors: Susanti Dwi , Maulana Slamet , Aroyandini Elvara Norma 
Published: October 2024

Abstract
This study aims to explore the openness traits possessed by students in realizing meaningful learning in modern physics learning. This study analyses how the openness traits possessed by learners contribute to mastery of modern physics concepts and relate them to classical physics concepts. Through quasi-experimental research methods, this study will analyze the correlation of openness traits possessed by students to the achievement of meaningful learning in modern physics concepts. This study found several findings in the form of a significant correlation between the openness traits possessed by students and the achievement of meaningful learning in the concepts of modern physical physics. Learners with higher openness tend to demonstrate a deeper understanding of complex concepts, engage more actively in critical thinking and problem-solving, and express tremendous enthusiasm for exploring advanced topics in modern physics. These students also often show a high willingness to collaborate and explore further related modern physics concepts to the relationship between classical and quantum physics. Based on the results of this research, it can be concluded that fostering and cultivating openness traits among learners has a high impact on achieving learning, especially in modern physics concepts that demand a high level of conceptual understanding and analytical skills. Educators and institutions can leverage these findings to design more inclusive and engaging learning environments that encourage and support the development of openness traits among learners, ultimately improving their overall academic success and proficiency in modern physics concepts.
Web-based Inquiry Physics Problems (WIPPer) for Enhancing Physics Learning in Blended Environments
Authors: Herliana F , Mardila R , Mahzum E , Muliyati D , Susilawati S , Saputri M , Musdar M , Elisa E 
Published: October 2024

Abstract
Incorporating digital technologies is essential in blended learning contexts to enhance conventional instructional approaches. This study aims to develop a Web-based Inquiry Physics Problem (WIPPer) as an interactive learning medium in a blended environment for the physics learning process. This study employs research and development approaches, applying the ADDIE approach to the development stage. The initial research step analyzes the physics learning demands of the web using literature and field investigations. The last phase of the development process involves producing a WIPPer product prepared for evaluation by materials, media, and instructional design experts, together with two high school physics teachers who will act as practitioners. Expert and practitioner assessments employ tools that evaluate material, media, and learning design. Expert and practitioner evaluation data were analyzed using the Aiken V algorithm. WIPPer had an Aiken V score of 0.867 from material and learning design experts and 0.805 from experts in media, indicating that experts deemed it highly valid. The results emphasize the potential of WIPPer as a beneficial tool for instructors who want to enhance physics training in blended learning contexts. It promotes more profound knowledge and active engagement among students.
India’s pathway to net zero by 2070: status, challenges, and way forward
Authors: Chaturvedi Vaibhav , Ghosh Arunabha , Garg Amit , Avashia Vidhee , Vishwanathan Saritha Sudharmma , Gupta Dipti , Sinha Nilesh Kumar , Bhushan Chandra , Banerjee Srestha , Datt Divya , Bansal Juhi , Pathak Minal , Dhar Subash , Singh Ajeet Kumar , Khan Nayeem , Rashmi Rajani Ranjan , Agrawal Shalu , Agarwal Disha , Singh Anjali , N C Thirumalai , Saxena Siddharth S , Vishal Vikram , Singh Udayan , Mallapragada Dharik S , Chaturvedi Rajiv Kumar , Pillai Aditya Valiathan , Garg Vibhuti , Singh Santosh , Hari Kavya , Janardhanan Nandakumar , Zusman Eric , Mahapatra Diptiranjan , Raha Shuva , Gupta Tulika , Prasad Sumit 
Published: October 2024

Abstract
The announcement of India’s 2070 net-zero target has demonstrated the power of a credible policy signal and changed the course of India’s climate debate. While the Government of India (GoI) has not specified whether this target refers to carbon-dioxide or all greenhouse gases, the announcement has been a watershed moment in India’s climate policy. From questions related to whether and at what pace should India decarbonize its economy, various actors in India are now aligned towards this target. An important contribution to inform India’s net-zero journey has come through various modelling assessments undertaken by India’s institutions and researchers. While a few economy-wide net-zero modelling assessments are available, a comprehensive and integrated picture woven collaboratively by India’s climate experts is conspicuously missing. It is critical to complement quantitative modelling-based assessments with insightful perspectives of experts on India’s climate policy. Together, modelling based quantitative assessments and insightful qualitative perspectives of climate experts would be an instrumental force that will ensure that the country achieves its net-zero target by understanding synergies and trade-offs, harnessing opportunities, and avoiding risks along the way. This collaborative article discusses various aspects of pathways towards India’s net-zero goal to address the gap in literature by looking at broad and inter-related dimensions of ‘national and sub-national perspectives’, ‘sectoral and technological transitions’, and ‘enablers’ needed for India’s transition. While the larger net-zero debate relates to all greenhouse gases, we focus on carbon dioxide in our current effort. The assessment aims to inform not just India’s policy makers and stakeholders, but various researchers, practitioners and governments around the world for them to be better aware of the various aspects of India’s net-zero debate. It weaves the perspectives of experts from 24 institutions across the three broad dimensions to give a comprehensive view of a roadmap towards India’s net-zero future.
Design of a compact beam transport system for laser-driven proton therapy
Authors: LI 李 Yangfan 扬帆 , SHEN 沈 Xiaofei 晓飞 , YAO 姚 Yilin 屹林 , QIAO 乔 Bin 宾 
Published: October 2024

Abstract
We put forward a new design of a compact beam transport system for intense laser-driven proton therapy, where instead of using conventional pulsed solenoids, our design relies on a helical coil irradiated by a nanosecond laser pulse to generate strong magnetic fields for focusing protons. A pair of dipole magnets and apertures are employed to further filter protons with large divergences and low energies. Our numerical studies combine particle-in-cell simulations for laser-plasma interaction to generate high-energy monoenergetic proton beams, finite element analysis for evaluating the magnetic field distribution inside the coil, and Monte-Carlo simulations for beam transport and energy deposition. Our results show that with this design, a spread-out Bragg peak in a range of several centimeters to a deep-seated tumor with a dose of approximately 16.5 cGy and fluctuation around 2% can be achieved. The instantaneous dose rate reaches up to 109 Gy/s, holding the potential for future FLASH radiotherapy research.