bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strong edge antimagic total labeling on multistar
Authors: Arif Budi Prasetyo Dominikus 
Published: March 2021

Abstract
Strong edge antimagic total labelling of a simple graph G(V,E) is graph labelling which the vertex labels are consecutive integers from 1 to |V| such that, the weight of edges, i.e. the total label of the vertices incident to the edge, will form an ascending arithmetic sequence. This article discusses this kind of vertex labelling on multistar graphs. A multistar graph is an unconnected combination of star graphs. The study is a literature study with a mathematical proof. The results of the study is that multistar graphs have a strong edge antimagic total labelling. Furthermore, the labelling can be done on an unconnected combination of m star graphs and the difference of the weight of the edges are 1 and 2 with initial term

a
=

5
m
n
+
3
m
+
4

2

and

a
=

4
m
n
+
3
m
+
5

2

, respectively.
Critical thinking skills in mathematics
Authors: Aldila Afriansyah Ekasatya , Herman Tatang , Turmudi  , Afgani Dahlan Jarnawi 
Published: March 2021

Abstract
Teachers’ low mathematical critical thinking skills (MCTS) resulted in students’ low MCTS in the learning process. A teacher needs to have a good foundation of MCTS so that they can pass on their MCTS to their students. This study aims to improve the teaching and learning activities of teachers through prospective teachers and to find out whether there is an effect of the interaction between learning and Mathematical Prior Knowledge (MPK) of prospective teachers on the achievement of the MCTS. The solution offered in the learning process is Realistic Mathematics Education based on Emergent Modeling (RME-EM). The research method used is quantitative research methods. The research sample is prospective teachers at one of the private universities in West Java, as many as 51 people. The result of the research is that the achievement of the student teaching and learning activities of prospective teachers who get RME-EM learning is better than the achievement of the MCTS of prospective teachers who get conventional learning. On the influence of the interaction between learning (RME-EM and Conventional) and MPK (high, medium, and low) prospective teachers on the achievement of MCTS, it is found that there is an influence on the achievement of student teaching and learning activities based on learning and MPK, but there is no interaction between learning and MPK towards the achievement of prospective teachers. RME-EM learning can be implemented at various student levels and is quite successful in improving teaching and learning activities for prospective teachers. However, RME-EM learning activities are not sufficient to have a significant impact on the interaction between learning and MPK on prospective teachers. RME-EM can be a solution for teachers who want to improve their students’ MCTS in the classroom.
The development of students creativity through the implementation of guided inquiry method on sciences
Authors: Ajwar Muhamad , Faridah Fifi , Mariamah  , Ratnah  , Suratman  , Sulfahri  , Muniarti Puji 
Published: March 2021

Abstract
Creativity is an ability that is needed by students as prospective teachers, because students who have high creativity will be able to come up with ideas or concept, find and create something new, and be able to solve problems that arise quickly and accurately. The purpose of this study was to develop student creativity through the guided inquiry method in science. This research was an experimental study with one group post-test research design. The instrument used was the observation sheet and creativity questionnaire. Hypothesis testers use a statistical test (T-test) at a significant level of 5% with normality test prerequisites. The results obtained the T value of 1.747 with df 27. Sig (2-tailed) of 0.039 and T table of 1.703. Based on the calculation results, the calculated T value is greater T table (1,747> 1.703) and sig value 0.039 <0.05, which means that the guided inquiry method can develop student creativity in science.
PISA-LIKE: Uncertainty and data content in Statistics subject with futsal context
Authors: Mutia  , Effendi K N S , Sutirna  
Published: March 2021

Abstract
This research is a development research that will produce about a valid PISA-LIKE of uncertainty and data content with futsal context. The development model used in this study is the 4-D model (Define, Design, Develop, and Disseminate). The development phase discussed are a result of expert review and simulation. The review stage expert of this study were involved material experts, and language expert, as well as IX grade students in one of junior high school in Karawang at the simulation stage as the subjects. Da ta collection is done by documentation and interviews. Based on the result of data analysis, it can be concluded that this research has produced valid PISA-LIKE of uncertainty and data content with futsal context, it can be seen from the comments given by the validator and also the students at the simulation stage.
Measuring mathematical literacy of space and shape content as 21st century competency
Authors: Muliawanti Sari , Badu Kusuma Anggun 
Published: March 2021

Abstract
Mathematical literacy and self-regulated learning is one of the most important cognitive and affective skills to be developed in the class allowing students to participate in the 21st century. This research is qualitatively descriptive that aims to describe students’ mathematical literacy of space and shape content reviewed from self-regulated learning. The subject was VII G students of SMP Negeri 1 Purwokerto. The data was collecting by using questionnaire, test, and interview. Students were categorized into high, medium, and low self-regulated learning high. The results showed that high self-regulated learning students were capable to construct a concept based on context. The medium and low self-regulated learning students were not capable to fulfill any indicators.
Proportion problems: analyzing common errors
Authors: Humaira Salsabila Nilza , Lu’luilmaknun Ulfa , Wahyu Triutami Tabita , Hamdani Deni , Ayu Apsari Ratih 
Published: March 2021

Abstract
Proportion problems are problems that are often found in real life. For that, we need to be able to solve problems related to proportion. But some of us make the mistake of solving problems about proportion. The purpose of this research is to identify the types of errors made by junior high school students working on proportion problems. The types of errors students make are identified based on the types of test-taking errors by Nolting. There are three types of errors analyzed in this research, namely careless errors, concept errors, and test-taking errors. This research is qualitative descriptive research. Subjects’ research included 51 junior high school students, 27 male and 24 female. The research data were obtained from a test instrument of proportion topic consisting of 3 essay questions. The results of the research analysis showed that in problem 1 as many as 3.91% of students made first type error, 11.76% for second type, and 33.33% for third type. In problem 2 as many as 7.84% of students made first type error, 41.18% for second type, and 7.84% for third type. Whereas in problem 3 as many a s 0% of students made first type error, 21.57% for second type, and 62.75% for third type. Teachers need to design effective learning so that students’ errors can be decreased.
Students’ perception on learning mathematic during the time of covid 19
Authors: Marah Doly Nasution , Ahmad  
Published: March 2021

Abstract
Mathematics lessons were taken by SMP Muhammadiyah 57 Kota Medan students. However,. owever, the perception of learning is not yet known, therefore it is necessary to conduct research with the aim of describing students’ perceptions of learning mathematics at SMP Muhammadiyah 57 Kota Medan. his research is a descriptive study with a quantitative approach. The method used is a survey method. The research instrument used was a questionnaire with 20 statement items. Testing the research instrument was carried out on 34 students of class VIII G SMP Muhammadiyah 57 Kota Medan. The questionnaire was declared valid and reliable (r count = 0.841). The research subjects were students of class VIII D and C SMP Muhammadiyah 57 Kota Medan, totalling 67 respondents who were determined using the cluster sampling method by drawing randomly. The data analysis technique used descriptive statistical techniques in the form of descriptive and frequency distribution. The results showed that the perceptions of grade VIII students of SMP Muhammadiyah 57 Kota Medan towards learning mathematics were in the very positive category of 65.7%, the positive category 34.3%, and none (0%) of the respondents had less positive and negative perceptions. Based on the results of this study, the perceptions of grade VIII students towards learning mathematics at SMP Muhammadiyah 57 Kota Medan were mostly very positive
Teacher’s belief and mathematical knowledge contributing ICT literacy in an Indonesian context
Authors: Nugroho Yanuarto Wanda , Mistima Maat Siti , Husnin Hazrati 
Published: March 2021

Abstract
This paper covers the perception of four mathematics senior school teachers in the Banyumas region, Indonesia, on the factors of contributing to ICT literacy. Two factors of ICT literacy contribution were gained based on the result of a semi-structured qualitative interview. Those were internal factors and external factors. The internal factor is the teacher’s belief, which consist of basic skills, workload, motivation, and the teaching style pattern of the teachers. The external factors are reflected in the teacher’s knowledge factors, such as technological guidance knowledge, technological management knowledge, and technological integrity knowledge. Then, the result of this study indicates that the teacher’s workload and the proficiency of the teacher’s principles can be classified into basic knowledge in the curriculum. In contrast, assessment, teacher motivation, and teaching style patterns can be classified into the teacher’s awareness of understanding ICT in education. Moreover, In the context of technological management knowledge can be classified in organization and administration, technological guidance knowledge is obtained from professional teacher learning, and technological integrity knowledge can be included in integrating technology in pedagogy.
SketchUp-aided generative learning in solid geometry: Does it affected students’ spatial abilities?
Authors: Jaelani Anton 
Published: March 2021

Abstract
Spatial ability is one of the abilities that should be mastered by students because daily human life requires it. Learning geometry that does not match the characteristics of students causes low spatial abilities. The purpose of this study was to determine the achievement and improvement of students’ spatial abilities after they participated in SketchUp-aided generative learning. This research is quasi-experimental research to compare students who were receiving SketchUp-aided generative learning and direct learning. The research instrument was a test of spatial ability, and the subjects were students of class XII high school. The results showed that spatial ability increased after receiving SketchUp-Aided generative learning. The results of this study contribute to providing suggestions for teachers to apply SketchUp-aided generative learning.
The effect of group mentoring learning on student’s creativity in solving partial differential equations problems
Authors: Yulis Tyaningsih Ratna , Pramestie Wulandari Nourma , Junaidi  , Hamdani Deni , Putranto Sumbaji 
Published: March 2021

Abstract
The Group Mentoring Learning Model is a learning model that emphasizes group collaboration by using the methods of teaching one another, demonstrating, and modeling the newly acquired knowledge and skills. The core stages of the GML Model include orientation, discussion, comparing, mentoring, creating, and evaluation. The type of questions used in this study is Middle Ended, which is a problem with one solution and many solution strategies. The purpose of this study was to determine the effectiveness of the Group Mentoring Learning Model on student creativity in solving partial differential equation problems. Data collection techniques used in this study were observation, questionnaire, pretest, and posttest. The data obtained were then analyzed using paired t-sample tests. The subjects of this study were students of Mathematics Education at Universitas Mataram Semester VI Academic Year 2019/2020. The results of data analysis showed that (1) the percentage of the implementation of the GML model for all stages was 81.01% and it was categorized as quite good, (2) the positive response of students in the implementation of learning using GML with a total average of 2.95 and included in the fairly good category, (3)) the effectiveness of the GML model in increasing student creativity in solving partial differential equation problems with N-Gain value = 56.5031% which is categorized as quite effective, and (4) there are differences in the level of student creativity before and after applying learning with the Group Mentoring Learning Models with t count = -15,875 <-2,056 = t table. Based on the results of the study it was concluded that the application of the Group Mentoring Learning model was effective on student creativity in solving Partial Differentia l Equations problems.
Errors of completing mathematical problems on number pattern material
Authors: Eko Subekti Fitrianto , Zuhrotunnisa  
Published: March 2021

Abstract
Error analysis is needed to provide information about student weaknesses to correct mistakes. This study analyzes grade VIIIA students’ errors of MTs Negeri 3 Banjarnegara on number pattern material. The data obtained using a multiple-choice test accompanied by the student’s working steps. The data were analyzed using percentages and described qualitatively. The results showed that the errors of male students tended to be higher than that of female students. Male and female students in the number pattern material made conceptual, procedural, and error due to lack of thoroughness.
Design of Cryogenic CMOS LNAs for Space Communications
Authors: Mudavath Mahesh , Valasa Sresta , Saisrinithya Avunoori , Divya Amgothu Laxmi 
Published: March 2021

Abstract
This manuscript presents the 45nm CMOS Low Noise Amplifier (LNA) designed for cryogenic use in spaces. A revised approach has been adopted to classical LNA architecture. External discreet components were added to the LNA in such a way that the LNA S11 and S22 were under –10dB from 70K to 290K at 2.44GHz designated for spatial communications. The LNAs IIP3 performance was analyzed, in particular at cryogenic temperatures, and linearity improvements were demonstrated by using the proposed approach. Although the LNA was not specifically hardened by radiation, no degradation was observed in its performance. Results analysis present that LNA achieves input and output impedance matching’s of -24.024 and -23.131dB, NFs of 0.9dB, power gain of 26.7dB, P-1dB of -10.63dBm, IIP3 of -10.6dBm at 2.44GHz, respectively.
Deep learning assisted heart arrhythmia detection
Authors: Fernandes Johnathan , Chudgar Sarthak , Dharap Harshal , Poduval Aneesh 
Published: March 2021

Abstract
Heart arrhythmia, or irregular heart rhythm, is an extremely common heart affliction experienced by a large percent of the world’s population every day, mostly going unnoticed. However, if left unchecked for an extended period of time, it poses an inherent risk to human life. Advancements in technology have enabled us to leverage the awesome computational power of graphics processing units in parallel in order to derive solutions to real life medical issues, by analyzing tremendous amounts of data in a relatively short amount of time. Owing to their ability to parse huge amounts of data and quickly perform multiple complex computations in parallel, machine learning algorithms have repeatedly and consistently outperformed humans in tasks such as pattern recognition and data analysis. Through this research project, we seek to contribute to the medical field by implementing deep learning technology along with machine learning algorithms into a system which can detect heart arrhythmias from electrocardiogram (ECG) reports quickly and effectively.
Spam Detection and Spammer Behaviour Analysis in Twitter Using Content Based Filtering Approach
Authors: Mukunthan B. , Arunkrishna M. 
Published: March 2021

AbstractTwitter is one of the most popular social media networks and therefore it is prone to misuse. One of the ways in which people misuse Twitter is by spamming. Spam becomes an issue once a communication medium especially one, which enables global communication and handle huge amount of online data. Since Twitter is popular among so many people, it makes it easy for spammers to thrive. Spammers are people who send unwanted messages to people to either advertise a product or lure the victims into clicking malicious links, which may affect their user systems. The main objective of these spammers is usually to make money from their victims. In the last years, several systems has-been made with the aim of determining whether a user is a spammer or not. However, these systems cannot filter each spam message and a different account can be created by a spammer and used to send other messages. This paper proposes a content-based approach, which can be used to filter spam tweets. The approach involves using tweets in machine learning and compression algorithms in order to filter the undesired tweets.
VLSI Implementation of Discrete Cosine Transform Approximation Recursive Algorithm
Authors: Deivakani M. , Kumar S.V. Sudheer , Kumar Naluguru Udaya , Raj E. Fantin Irudaya , Ramakrishna V. 
Published: March 2021

Abstract
In general, the approximation of Discrete Cosine Transform (DCT) is used to decrease computational complexity without impacting its efficiency in coding. Many of the latest algorithms used in DCT approximation functions have only a smaller DCT length transform of which some are non-orthogonal. For computing DCT orthogonal approximation, a general recursive algorithm is used here, and its length is obtained using DCT pairs of length N/2 of N addition cost in input pre-processing. The recursive sparse matrix has been decomposed by using the vector symmetry from the DCT basis in order to achieve the proposed approximation algorithm that is highly scalable to enforce the highest lengths software and hardware by using a current 8-point approximation to obtain a DCT approximation with two-length power, N>8.
Numerical Examination of Detectivity in Group-IV alloy based Infrared Photodetector
Authors: Pareek Prakash , Ranjan Ravi 
Published: March 2021

Abstract
In this work, a numerical exploration is carried out for detectivity in Tin incorporated group IV alloys based multiple quantum well infrared photodetector. An optimized theoretical model of the device is developed and explained along with appropriate justifications. Responsivity and dark current are used to attain detectivity after applying proper considerations. The calculated detectivity is then examined under deviation of some important parameters. The results depict an increment of detectivity with number of wells. Furthermore, the results also estimate a considerable detectivity in the range of 109 cm Hz1/2 W−1.
Enhancement of Thermal Properties of Fluids With Dispersion of Various Types of Hybrid/Nanoparticles
Authors: Rani Chilaka Vidya , Kumar Parvesh 
Published: March 2021

Abstract
The main aim of the present research is to enhance the thermal properties of fluids with a dispersion of various types of hybrid/nanoparticles which has the capability of improving heat transfer properties. Thermal conductivities of Nanofluids are probably higher as compared with conventional fluids. The use of metal nanoparticles has not been intensely investigated for heat transfer applications due to a lack of stability. Research hard work has been equally put forth to improve the active performance of heat transfer fluid (HTF) through the use of hybrid nanomaterial. The particularly higher surface-to-volume ratio of nanomaterial makes them properly promote nucleation and heat switch in PCM. The right choice and training of nanomaterials pave the manner for achieving superior thermal conductivity, specific heat, and heat transfer ordinary performance of hybrid nanofluids. Nanomaterials, organized in splendid systems collectively with nanotubes, nanorods, nanoparticles, etc. would possibly display off awesome thermo-bodily factors while dispersed in heat transfer fluid (water). Therefore, various hybrid/nanoparticles have synthesized the usage of the sol-gel approach. Synthesized Nanomaterials are to be tested for XRD, SEM to recognize the crystalline structure, length, form, etc. The ultrasonic process needs to be performed during the dispersion of nanoparticles in HTF for uniform dispersion and to avoid agglomeration. Then nano-based fluids are characterized to study Physical, thermal properties. The nanofluids are tested using Fourier Transformer Infrared Spectrometry (FTIR) to check chemical compatibility between HTF and nanoparticles, later a thermal conductivity analyzer is used to verify thermal conductivity of various hybrid/nano-based fluids. A thermogravimetric analyzer (TGA) is used to check the commencement and end of decomposition temperature of various hybrid/nano-based fluids. Later several experimentations are carried out using shell and tube type heat exchanger to study heat transfer characteristics of various hybrid/nanofluids. The results from various characterization techniques and experimentation are analyzed for optimizing the nanoparticles type and proportions used in HTF for proposing in practical applications.
Study of Refractive Index and Birefringence Variation near the Surface of LiNbO3 Open Type Optical Waveguide using Point Dipole Approximation
Authors: Suhasini Velagapudi , Subbareddy I.V. , Manoher Pasunooti , Rao V. Srinivasa , Ethiraj R. 
Published: March 2021

Abstract
In view of the immense use of LiNbO3 (LN) in the Photonic industry, a need arises to develop a theory to study the variation of Refractive Indices near the surface of LN device. The “Local” fields as experienced by ions on or near the surface of a dielectric medium ought to be different from those in the interior, thus one expects a Refractive Index variation near the surface of the material. In the studies involving thin films and optical waveguides, this variation could possibly alter the propagation characteristics. The variation of ordinary and extraordinary refractive indices (no, ne) from the surface to the interior of depth 69.315A° near the surface for X-cut and Z-cut LN waveguides are evaluated using theoretical Point Dipole Approximation (PDA) method. For an X-cut waveguide, no
is found to decrease from 2.9696 on the surface to 2.2864 in the interior whereas, ne
is found to increase from 1.4849 to 2.2024. The birefringence (dn=ne–no) is negative and observed to be increase from -1.4847 to -0.0840. For a Z-cut waveguide, no
is found to increase from 1.8046 to 2.2864 whereas ne
is found to decrease from 2.7005 to 2.2024. Here the birefringence is positive, decreasing from 0.8958 to zero to a depth of 60.5A° and further decreasing to -0.0840 to a depth of 69.315A°. It is observed that the variation of refractive indices no
, ne
and dn variation with depth near the surface for both the cases are quite opposite in nature. This is primarily due to the dipole orientation and their relative distributions in the lattice being different for the two directions of the electric vectors of light as is evident from the values.