bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physiological responses of the Holstein Friesian dairy cows raised under tropical conditions in Indonesia
Authors: Leondro H , Widyobroto B P , Agus A 
Published: April 2021

AbstractThis study aimed to evaluate the physiological responses of the Holstein Friesian (HF) dairy cows raised under tropical conditions in Indonesia. Twenty-one dry-pregnant cows, approximately 7–8 months of pregnancy, 1-3 of lactation, 500-600 kg of body weight and 3-5 of body condition score were used for that purpose. The cows were fed twice daily in the form of total mixed ration (TMR) and given add libitum amounts of drinking water. Ambient temperature, relative humidity and temperature humidity index (THI) were recorded. Physiological responses i.e. rectal temperature (RT), pulse rate (PR) and respiration rate (RR) and heat tolerance coefficient (HTC) were also recorded. Descriptive statistics such as mean and standard deviation were performed using SPSS software. The results showed that both ambient temperature and THI reached their maximum (26.5±1.520C and 77.1±2.21, respectively) at 01:00 PM and minimum (22.6±0.510C and 71.8±0.90, respectively) at 3:00 AM. Contrarily, the relative humidity was highest (88.9±1.56%) at 03:00 AM and lowest (78.8±2.49) at 01:00 AM. The physiological responses (RT, PR and RR) and HTC increased in line with the increasing ambient temperature and THI. In conclusion, all of the HF cows are exposed to mild stress due to increasing ambient temperature and relative humidity.
Low carbon learning: Logical framework in learning process at elementary schools
Authors: Hudha M N , Hamidah I , Permanasari A , Setiani P , Kustiawan I , Rachman I , Abdullah A G 
Published: April 2021

Abstract
This study aims to identify learning content of low carbon at elementary school level in Indonesia. The method employed in this study was a combination between systematic literature review and content analysis. The results showed that low carbon content at elementary schools was mapped and presented in a simple structure so that the substantial aspects of the learning was easier to understand by the elementary school students. It has also been proven that low carbon learning content was beneficial to develop in learning within elementary school context as it trained the students to get used to living in low carbon since early ages.
Utilization of producing biogas from food waste in anaerob biodegester at thermophilic temperature
Authors: Waris W , Kharismawati I , Aswan M S 
Published: April 2021

Abstract
The problem of food waste is increasing as food needs increase as a source of human protein. Therefore, biogas conversion can also answer the problem of household food waste treatment. The purpose of this study is to find out the producing of biogas from a mixture of food waste and liquid waste tofu in anaerobic biodegester at thermophylic temperature. The manufacture of biogas in this study using batch feeding, which is a type of digester that replenishes organic matter is done once full and then waited until biogas is produced. The manufacture of biogas is carried out for 5 weeks. The observed parameters are COD, BOD, TS, VS, and the resulting volume of biogas. From the observations obtained that, by varying substrate can decrease COD, BOD, TS, while substrate temperature can increase VS. The volume of biogas produced in the mixture of liquid waste tofu 60% and food waste 30% is 22.600 ml. The results showed that the percentage of substrate from the mixture of food waste with liquid waste tofu had an effect on increasing biogas production.
Analysis effect of winding on radiation-electromagnetic field on the tesla coil
Authors: Mulhayatiah D , Setiawan Y , Rizaldi M F , Siregar H S , Suherdiana D , Nurdini S D 
Published: April 2021

Abstract
Utilization of modern technology has been widely felt by the public as well as utilizing wireless charging technology on android phones. The charging, of course, uses the concept of Tesla coil, namely the transfer of electricity without wires. The Tesla coil can emit electromagnetic radiation which depends on its input. This study aims to design a miniature tesla coil as a magnetic inductor. In this design, measuring electromagnetic radiation with a coil diameter of 0.3 mm, 0.4 mm and 0.5 mm with the same number of turns is 500 turns. The method used is an experimental method using determinants such as the diameter of the coil, the height of the measurement of electromagnetic radiation, and the distance measurement of electromagnetic radiation. Experiments carried out varying independent variables including diameter of the coil, measurement distance, height and number of turns as a constant quantity. The measurement uses the electromagnetic radiation detector DT-1130 to measure the electromagnetic radiation at several heights of the Tesla coil. The results showed that electromagnetic radiation which has the highest value is at the top or at the end of the coil for the position near the primary coil obtained the lowest electromagnetic radiation results among the three measurements, whereas for distance researchers get the result that the further measurement between the electromagnetic sensor and the Tesla coil electromagnetic radiation is getting weaker. At a winding diameter of 0.3 mm which produces the smallest radiation but when brought closer to the Neon lamp the light intensity of the Neon lamp is brighter compared to the diameter of the winding 0.5 mm which has the most radiation.
The development of harmonic oscillation e-module based on problem based learning (pbl) for helping improvement of students’ higher order thinking skills (hots)
Authors: Rustana C E , Aminah S , Budi A S 
Published: April 2021

Abstract
This study aims to develop a harmonic oscillation e-module based on pbl for helping hots improvement of senior high school students at SMA N 23 Jakarta. The ADDIE Model of research and development was applied in developing such e-module prior to measure improvement of students’ hots. The validation results of experts indicated the values of 78.1%, 77.7% and 93.8% for media, learning model and content, respectively. The trial result of teachers and a small and big groups of students respectively indicated an average score of 93.95% and 95.1% and 86.5% for all aspects of content eligibility, presentation, language and graphical eligibilities. Furthermore, The tgain test calculation shown that the tgain count (2.58) was bigger than tgain table (1.67) with 5% significance level. The analyzed result indicated that the improvement of hots of students which was taught with the pbl based e-module was better than those who utilized the non pbl based e-module of the harmonic oscillation. Whiles, the result of d’Cohen test indicated that the developed e-module was very decent to be utilized as learning media with contribution category of medium (based on d’Cohen test result of 0.64) for improving hots of senior high school students.
Energy efficency analysis for various type of electric cooker
Authors: Aisyah S , Triani M , Rasgianti R 
Published: April 2021

Abstract
Efficiency is one of the important things to consider when choosing household appliances, especially cooking equipment. Currently the community is starting to switch from from liquefied petroleum gas-based cookers to electric cookers. Therefore analysis is needed to determine the selection of electric cookers that are efficient in accordance with consumer needs. To accomplish this study, testing with boiling water was carried out on three types of electric cookers namely induction cooker, halogen and electric coil. This test is carried out to obtain input and output energy from each stove so that efficiency can be obtained. From the test results, it has been found that the induction cooker has the highest efficiency among the electric cooker.
Enhancing science literacy capabilities of prospective primary school teachers through the STEM Project Learning Model
Authors: B Amiruddin , Budi A S , Sumantri M S 
Published: April 2021

Abstract
The STEM Project is a learning model that can be used by lecturers in the learning process so that students can get used to analyzing and synthesizing, to come up with an idea that can develop the competence and science literacy abilities of elementary school teacher candidates in the framework of learning in the 21st century. The study aims to improve the ability of the science literacy of Pre-service elementary school teachers by using the STEM Project Learning Model. This study was conducted on Pre-service elementary school teachers as elementary school teacher education students at the University of Halu Oleo Kendari. The results obtained indicate that the science literacy ability of Pre-service elementary school teachers has increased significantly. The increase is based on the results of statistical analysis which shows a significant increase in the ability of the science literacy of Pre-service elementary school teachers, after participating in learning using the STEM Project model. For this reason, the use of the STEM Project model in learning science enables prospective teachers to become accustomed to conducting comprehensive analyzes of problems and their solutions.
Diagnostic analysis of student concept in environmental physics
Authors: Ayu H D , Saputra S , Sarwanto S , Mulyani S 
Published: April 2021

Abstract
The purpose of this study is to diagnose student concepts in environmental physics courses. This study has used a mixed method. Data has been obtained from interviews, observations, questionnaires, and tests. Study subjects were 78 physics education students who had passed environmental physics courses and 4 lecturers. The results of the study have shown that the chapter in the bad category is the chapter “External factors that influence life on earth”. This answered with the percentage of students who answered correctly there were 44.8. And the chapter “Association of physical principles with soil characteristics” is also in the bad category with a percentage of 46.2. This study has been able to provide a description of the material content that is not understood by students in experimental physics subjects, especially related to the concept of physics.
Development of web-based learning media for physics materials using Moodle in high school
Authors: Afrilia A , Rusli F , Tanti T , Mutamasikin M , Yusuf M 
Published: April 2021

Abstract
Education systems in various countries have experienced massive transformation since the development of information technology. The learning environment has shifted from face to face learning to web-based education or e-learning. There are multiple free online learning platforms available on the internet, one of which is Moodle. The main aim of this study is to develop physics learning media with Moodle to improve student’s motivation in learning physics. The ADDIE model framework is used to create web-based physics learning media, which consists of four stages, namely analysis, design, develop, implement, and evaluation. The product was validated by material and media experts, as well as two physics teachers as practitioners. The validation and practicality test results show that the web-based learning media is valid and practical as teaching media to improve student’s motivation in learning physics. The results of the effectiveness test using the design of one class pre-test and post-test showed an increase in students’ motivation with an N-gain value of 0.80 with categories high. The results of this study give insight for physics teachers on how to design technology-based learning to increase student motivation in learning physics.
Development of animation-based learning media to increase student’s motivation in learning physics
Authors: Sastradika D , Iskandar I , Syefrinando B , Shulman F 
Published: April 2021

Abstract
The difficulty of students in understanding concepts in physics has a significant effect on students’ motivation. The purpose of this study is to develop animation media that make students easier to understand the abstract concept of Newton’s law and find out students’ responses to the use of instructional media. The 4D framework is used to develop animation-based learning media, which consists of four-phase, namely: define, design, develop, and disseminate. The instruments used are a questionnaire and interviews. The results showed that (1) Based on expert judgment Animation-based learning media was appropriate and feasible to be implemented in the physics class; (2) used of media animation in learning physics could facilitate students in understanding the abstract concept of Newton’s Law, especially in describing the direction of the force and gave opportunity to the student’s to increase their motivation to learning physics where average score of the motivation was 70% in the “High” category.
Structural, magnetic and microwave absorption properties of natural iron sand
Authors: Handoko E , Sugihartono I , Marpaung M A , Budi S , Fahdiran R , Jalil Z , Alaydrus M 
Published: April 2021

Abstract
This paper presents the development and characterization of the natural iron sand as a microwave absorber. To develop a new microwave absorbing paints in the 7–13 GHz range, the iron sand sample was prepared through the mechanical milling process and characterized with X-ray diffraction (XRD), scanning electron microscopy (SEM), Permagraph and vector network analyzer (VNA). The reflection loss (RL) was calculated and simulated for different thicknesses of the material using the complex permittivity and permeability and found the broadband characteristics with minimum absorption. The results indicated that the natural iron sand is beneficial as potential candidates for military applications.
The simulation of granular attachment on the porous vertical surfaces
Authors: Muliyati D , Sumardani D , Siswoyo S , Viridi S , Bakri F , Handoko E , Permana H 
Published: April 2021

Abstract
Granular simulations have been carried out to visualize attached to porous vertical surfaces. We simulate the optimal ratio of dry surfaces. This simulation uses the uFlex particle with three pore sizes. The movement particle using parabolic motion with the initial horizontal speed only. The simulation results show that for uniform particle velocities, the number of particles that are attached depends on the size of the particle sphere itself. These results can combine with the previous study to use in future research.
Application of relativistic quantum mechanics in radial problems and E/M equations
Authors: Arygunartha G Y , Janurianti N M D , Situmeang Y P 
Published: April 2021

Abstract
This research is pure research in the field of pure physics. The background of the research that I did there was doing pure research in the field of physics. The subject of this research is to use the e/m measurement tool. This study aims to (1) study the influence of the magnitude of the electron velocity and the magnitude of the magnetic field on the electron path, (2) determine the e/m ratio in calculations. The results showed that the magnitude of the electron path radius is directly proportional to the magnitude of the electron velocity and inversely proportional to the magnitude of the magnetic field acting on it. Meanwhile, the calculation result for fixed current is 16.84% and the fixed voltage is 14.15%, in this case the size of the electron path is directly proportional to the magnitude of the speed of the electron path, and inversely proportional to the magnitude of the magnetic field acting on the electron.
Dynamical system of relativistic particle under one dimensional harmonic oscillator potential
Authors: Sanjaya L A , Prayitno T B , Widyanirmala W , Astra I M 
Published: April 2021

Abstract
Dynamical system of a relativistic particle under harmonic oscillator potential was considered through its stability. We first construct the Hamiltonian of the system, which represents the dynamic motion of the relativistic particle. The stability of the system was then determined by the singular point. We found that the relativistic motion under the harmonic oscillator is a stable system where the phase curve forms an ellipse.
Energy momentum tensor of scalar field with higher order derivatives
Authors: Prayitno T B , Budi E , Fahdiran R 
Published: April 2021

Abstract
We considered a formulation of the energy momentum tensor of scalar field containing higher-order derivatives. Starting from the Lagrangian density, we can formulate the Hamiltonian density as well as the three-component momentum density by applying the total variation on the field. We claimed that this formulation can be used to derive some nonlinear wave equation, such as the KdV equation and the Burgers equation.
Radioactive decay model based on augmented reality
Authors: Bakri F , Sumardani D , Muliyati D 
Published: April 2021

Abstract
This article presents a simulation model of radioactive chain decay with augmented reality technology. Radioactive decay is classified as abstract material that is difficult to understand. This simulation will make abstract radioactive decay materials easily understood. In this article will explain the simulation changes to the 4n + 2 radioactive model by utilizing augmented reality technology. This media development uses the black-box testing method to test the accuracy and validity of the software program. Interactive media using augmented reality on radioactive decay have been able to display the U-238 chain decay model (series 4n + 2) by simulating the process of alpha and beta release in each series. This simulation successfully displayed a striking difference between alpha and beta release in the U-238 chain reaction cycle.
A sensitive thick film as a candidate for ethanol gas sensor from Jarosite-based minerals
Authors: Aliah H , Syarif D G , Iman R N , Sawitri A , Setiawan A 
Published: April 2021

Abstract
We report this study that aims to know thick film sensitivity to ethanol gas. The thick film was fabricated from local mineral, is Jarosite as a source of iron oxide, and mixed with zinc oxide and Mangan oxide. The semiconductor mixture powder was synthesized by the sol-gel method, whereas the film was fabricated by a screen printing method. The film sensitivity was known with a gas sensing performance analyzer. An ethanol gas was adsorbed well by a thick film with different electrical resistance values. Due to the difference in the electrical resistance value, the thick film exhibited good sensitivity performance. The highest sensitivity was achieved approximately 91.7% of 4 gas concentration level of ethanol. Besides, the morphology of the thick film was examined by SEM that showed a pyramid-like form with a little impurity around them. The pyramid-like form looks like a spinel structure with a complex spinel-type where this structure is very well utilized for gas sensor device applications. Furthermore, these characteristics of the thick film indicated an opportunity that it can be a candidate for an ethanol gas sensor device.
Crystal structure analysis of Lanthanum Orthoferrite doped Zirconium with sol-gel method for solar cell candidate
Authors: Purnamasari I , Farida I , Nanang N , Zhafirah A 
Published: April 2021

Abstract
Lanthanum Orthoferrite (LaFeO3) is one of the perovskite material which has been studied as a candidate for solar cells. Perovskite doped at site-A and site B was expected to increase efficiency in its application as a solar cell. Zirconium as doping at site-B on LaFeO3 used to reduce the size of crystals with nano size. Therefore, this research has synthesized perovskite lanthanum orthoferrite doped zirconium at site-B (LaFe1-xZrxO3 with x=0.075, 0.1 and 0.15) by the sol-gel method and it has not been studied before. The precursors for these materials are lanthanum Oxide (La2O3), Zirconium (IV) chloride octahydrate (Cl2H12O9Zr), iron nitrate nonahydrate (Fe (NO3)3.9H2O). LaFeZrO3 powder was characterized using X-ray diffraction (XRD) to test the crystal structure properties. The results say that the sample has an orthorhombic structure with Pnma space group. The XRD data has been refined and shows that the lattice parameters for 0.075, 0.1 and 0.15 increase with increasing zirconium concentration and crystal size of LaFeZrO3 decreasing and showing nanosize. Nanosize crystals can maximize the absorption of dyes and it can increase the efficiency of solar cells.
Residual Deep Monocular 3D Human Pose Estimation using CVAE synthetic data
Authors: Jiang Yutong , Liu Xiaofei , Wu Dongyuan , Zhao Pengbiao 
Published: April 2021

Abstract
Estimating 3D human pose from a monocular RGB image is a challenging task in computer vision because annotating a large number of 3D pose ground-truth data is costly. To address the problem of lack of 3D data, many methods have been proposed. In this paper, we propose to address this issue by synthesizing data. Firstly we exploit Conditional Variational Autodecoder to generate 3D human skeletons data. In CVAE network, we acquire generous 3D pose samples through the predicted 2D pose and the existing 3D ground truth. Secondly, base the generated 3D samples, we obtain the corresponding 2D pose by projection, thus augmenting the data of 2D-3D network. Finally, we train these synthetic data on 3D pose residual estimation network. Extensive experiments show that our approach achieves state-of-the-art accuracy on standard benchmark datasets.
A new deep distortion convolutional neural network for semantic segmentation of panoramic images
Authors: Hu Xing , An Yi , Shao Cheng , Qin Pan 
Published: April 2021

Abstract
Semantic segmentation of panoramic images plays a crucial role in many applications, such as scene understanding, autonomous navigation, and community security. However, the traditional deep learning algorithms achieve lower accuracy for panoramic images due to the serious image distortion. This paper proposes a new deep convolutional neural network to segment panoramic images of outdoor scenes semantically. The proposed network includes two branches: the semantic segmentation sub-branch (SS-branch) and the feature enhancement sub-branch (FE-branch). The SS-branch contains two parts: Encoder and decoder. In the encoder, a new distortion convolution layer (DCL) is defined to reduce the distortion of panoramic images. In the FE-branch, a canny is used to detect the edge and a lightweight network is designed to enhance the features of image boundaries. Finally, a weighted loss function is used. The experimental results show that the proposed semantic segmentation method has better performance for different outdoor scenes.
A multi-point crosstalk attack detection and location Scheme based on distributed PCE in multi-domain optical networks
Authors: Wu Qiwu , Liu Xueyue , Jiang Lingzhi , Gan Bo 
Published: April 2021

Abstract
In order to solve the problem that crosstalk attack propagation leads to a large number of interference alarms in multi domain optical network and difficult positioning, the detection and screening mechanism based on attack optical path state discrimination and the improved MD-PLVM (multi domain parallel and limited vector Matching) algorithm for multi domain optical network are used in this paper, a new crosstalk attack detection and location scheme based on distributed PCE called DP-CADL (distributed PCE crosstalk attack detection and location) is proposed. The experimental results show that this scheme can not only eliminate the interference alarm and screen the original attack optical path accurately, but also realize the fast location of multiple crosstalk attack sources between domains and cross domain optical path, and has high location accuracy.