bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combining scientific approach and PBL in learning of set to improve mathematical creative thinking skills
Authors: Putra Aan , Erita Selvia , Habibi Mhmd , Gina Gunawanand Febria Ningsih Rilla 
Published: March 2021

Abstract
The purpose of this research is to determine the improvement of students’ creative thinking through a scientific approach that integrated a problem-based learning model on set problems. This research used quasi-experimental design which compared pretest and posttest results between two groups. The population of this study was all of the eighth-grade students at one of state Islamic junior high schools (MTsN) in Sungai Penuh, Jambi, Indonesia. The research sample consisted of students in two groups that were randomly selected. One group was an experimental group that treated by a scientific approach integrated with PBL and the other one was as a control group that treated by direct instruction. We collected the data using a test of students’ mathematical creative thinking skills. Then, we analyzed it statistically using the N-gain parameter for the test results. The results of the analysis show that the improvement of students’ creative thinking through the scientific approach that integrated with PBL was better than the improvement through the direct instruction. Learning with a scientific approach combined with PBL makes the students freer to express their ideas and to improve their creative thinking skills.
Geometric thinking in learning distance and angle
Authors: Jaelani Anton 
Published: March 2021

AbstractSolid geometry is an essential science that students should master because students encounter it in the real world. Students’ geometric thinking ability is still low because they have difficulty understanding the concepts. The purpose of this study was to determine the comparison of the achievement and increase in geometric thinking skills of students who received generative learning assisted by SketchUp and Direct Learning. This research is quasi-experimental, and the research instrument is a test of geometric thinking skills. The results showed that there was no difference in achievement and improvement. The results of this study suggest that researchers and teachers look for other alternatives to improve students’ geometric thinking skills.
Prospective mathematics teachers making sense of multiplication algorithm
Authors: Ayu Apsari Ratih , Sariyasa  , Pramestie Wulandari Nourma , Novitasari Dwi , Hamdani Deni 
Published: March 2021

Abstract
Multiplication algorithm is broadly used in Indonesian classroom as a technique to multiply two-digits or more numbers. Traditionally, it is introduced as a set of memorized procedures. Hence, despite of its popularity, multiplication algorithm is hardly understood by the students. To understand the root of problem in teaching multiplication, this study aims a t elaborating the abilities of prospective mathematics teachers in making sense the multiplication algorithm. To gather the data, we conducted a survey using written test. The participants were 50 students of mathematics education study program in a state university in Bali, Indonesia. The data were analysed using descriptive quantitative method. From the findings, it is found that 18% of participants were able to explain the logic behind the procedures. Furthermore. the analysis shows the prospective mathematics teachers encountered difficulty in explaining multiplication algorithm due to their inability to making sense the process.
Number sense ability of junior high school students
Authors: Pramestie Wulandari Nourma , Ayu Apsari Ratih , Yulis Tyaningsih Ratna , Humaira Salsabila Nilza , Rozi Hadiyanto Fahrur 
Published: March 2021

AbstractNumber sense is a basis for learning mathematics. It can be interpreted as a person’s sensitivity about numbers and its operations with flexibility and intuition about numbers. If students have a good number sense ability, they will not encounter difficulty in solving number related problems. The fact is, number sense ability on various educational stage are still low. Students don’t have the sensitivity on the nature of the order of numbers. This study aims at classifying students’ number sense ability. So, in the near future, an effort to resolve the problem can be done. The subjects of this study were 80 ninth grade students of MTs NW Putra and Putri Narmada. The instrument that used in the study was 10 item number sense questions that were completed in 15 minutes. The result shows that the students’ number sense ability was at a low level with an average percentage of correct answers only 29.75%. Therefore, it can be inferred that the students are still weak in all components of number sense. The lowest skill is in the second component that is knowledge of facility with operations, with the result that the percentage of the number of correct answers is only 16.67%.
Development of project and ICT-based learning media subject modules
Authors: Akhsani Lukmanul , Ahmad  , Eko Subekti Fitrianto 
Published: March 2021

Abstract
The purpose of this study is to develop a valid project-based learning media module and ICT, to determine the practicality of learning using the project-based learning media module and practical information technology, to determine the effectiveness of learning using the project-based learning media module and information technology. This type of research is development research. The conclusions of this study are the project-based learning media module and valid ICT, project-based learning media and practical ICT modules, and learning using project-based learning m edia modules and effective I CT.
Product of two groups integers modulo m,n and their factor groups using python
Authors: Arifin Samsul , Bayu Muktyas Indra , Iswara Sukmawati Klara 
Published: March 2021

Abstract
We all know that (Z
m
×Z
n
,+) is a group under addition modulo m and n. Recall that a cyclic subgroup is a subgroup that generated by one element in the group. We can get the group factor of all cyclic subgroups in a group (Z
m
×Z
n
,+) since any their cyclic subgroup is normal On the other hand, Python is a programming language that is multipurpose, easy to use, and also can run on various OS like Windows, Ubuntu, or Android. Moreover, the modulo operations on groups (Z
m
× Z
n
,+) also can be calculated by Python, so we can use Python to get the factor groups off all their cyclic subgroups. In this paper, we determine the group factor in a group (Z
m
×Z
n
,+) of any cyclic subgroup using Python.
Mathematics problem solving on linear system of two variables
Authors: Gunawan  , Supriatna  , Setyaningsih Eka , Fera Apriana Rizki 
Published: March 2021

Abstract
This study aims to describe the mathematical problem-solving ability of class X AKL 3 SMK Negeri 1 Purbalingga viewed from their learning styles. The research method used is descriptive qualitative. The data analysis technique used the Miles and Huberman model including data reduction, data presentation, and conclusions. Purposive sampling technique was used as the sampling technique. Questionnaires, tests, interviews, and documentation were used to collect the data. Based on the learning style questionnaire, students are grouped into 3 groups of learning styles, namely visual, auditory, and kinesthetic learning styles. 3 students from each group were taken to be the respondents. Based on the results of this study, it shows that students with visual learning styles and kinesthetic learning styles are able problem-solving indicators, namely understanding problems, planning solutions, and implementing plans. Students with an auditory learning style are able to meet 4 problem-solving indicators, namely understanding problems, planning solutions, implementing plans, and rechecking.
The geometric literacy skills of prospective teachers in the 4.0 era
Authors: Kusno  , Setyaningsih Eka 
Published: March 2021

Abstract
The geometric literacy skills of junior high school students in Central Java still need serious attention. Facing the 4.0 era, prospective teachers’ mathematical literacy skills in the field of geometry need to be well prepared. The purpose of this study was to reveal the geometric literacy skills of prospective mathematics teachers in developing teaching materials through authentic assessment. This is a qualitative research with a case study method. The research subjects were prospective mathematics teacher students at the Muhammadiyah University of Purwokerto, Central Java, Indonesia, who contracted the 2019/2020 teaching material development course. The research subjects were selected purposively from the best 4 groups (G1-G4) from 9 working groups. Data were collected through open questionnaires, portfolios, observations and analyzed using inductive, interactive methods, simultaneously then described and explored. The results show that G1 and G2 explore the concept of reflection and right triangles contextually and scientifically through discovery, G3 explores cube nets contextually and scientifically through inquiry, while G4 explores the position of points on the Cartesian digram contextually and scientific problem through bassed learning.
Conceptual understanding about piecewise functions based on graphical representation
Authors: Wahyu Triutami Tabita , Ismi Hanifah Ayu , Novitasari Dwi , Ayu Apsari Ratih , Pramestie Wulandari Nourma 
Published: March 2021

Abstract
Understanding the concept of function is very important in learning mathematics. Students’ understanding of functions can be seen from how students represent these functions with a graph. The present research aims to describe second-year mathematics students’ conceptual understanding about piecewise functions seen from the graphic images they made. The subjects were 5 second-year students of mathematics study program in Universitas Negeri Malang, Indonesia. Data collected by conducting written tests and interviews with students. Students are given one problem about drawing graphs of polynomial functions that are defined piecewise. The collected data were analysed using descriptive qualitative method. After that, interviews were conducted related to graphic images made by students. From the findings, it was found that only one student understood the concept of the piecewise function correctly. He understood that each of the three polynomials defined in the piecewise function had different domains and could graph them accurately. The remaining students defined the piecewise function by using a single algebraic formula by summing each a lgebraic formula in the given piecewise function. Misunderstanding of the concept of piecewise functions is due to their lack of understanding of the domain and the continuity of a function at certain intervals.
A reconfigurable Filtenna for Cognitive Radio Application
Authors: Muduli Arjuna , Panwar Kavita 
Published: March 2021

Abstract
This paper describes a compact size UWB rectangular planner monopole antenna with impedance band from 7.6-15 GHz, having gain of 5.94 dBi which act like a sensing antenna for CR. After that, a filter structure is implemented at feed line of the monopole antenna with Incorporation of reconfigurable elements(switches) to make the antenna reconfigurable. By operating the switches as ON or OFF, the UWB antenna now operated at different frequencies like 8.7 GHz, 9 GHz and 11.4 GHz with narrowband functionality. This condition is helpful to CR for communication in desired band.
Key Enabling Technologies of 5G Wireless Mobile Communication
Authors: Sharma Sudhir , Deivakani M , Reddy K Srinivasa , Gnanasekar A K , Aparna G 
Published: March 2021

Abstract
5G (fifth generation) is more reliable at a very low cost and provides 10 times more capacity than other generations. Some of the countries namely India, South Korea, San Marino, China have conducted experiments for the implantation of 5G. 5G Wireless Technology used for mobile communication will be expected to be launched in India by 2020. Companies such as Nokia, Ericsson, Intel, AT&T, BT, Qualcomm, Verizon, and Samsung are developing the new wireless mobiles for 5G. High speed, low latency, and high capacity are the main characteristics of 5G for supporting different real-time multimedia. So, there is necessary to develop the 5G enabling technologies. The key enabling technologies used in 5G networks include Device-to-device (D2D) communication, Machine-to-machine (M2M) communication, Millimetre Wave, Quality of Service (QoS), Network Function Virtualization (NFV), Vehicle-to-everything (V2X), Full-Duplex and Green Communication. 5G allows transmitting data at 10-20 Gbps which is 100 times greater than 4G technology which creates new IoT robotic surgery applications. This paper explains about evolution and overview of 5G wireless technology with its features, applications, equipment providers, technological challenges, impact on society, etc. and also describes the architecture of 5G along with its key enabling technologies.
Object Detection and Classification for Autonomous Vehicle
Authors: Rajesh B. , Ramakrishna D. , Raju A. Ramakrishna , Chavan Ameet 
Published: March 2021

Abstract
The proposed work presents efficient objection detection and tracking algorithm for autonomous vehicles, which is developed in MATLAB with Image Processing Computer Version Toolbox and Automated Driving Toolbox. The developed algorithm track and detects moving and stationary objects such as other vehicles, pedestrians, and traffic lanes. Accurate and efficient tracking are important to analyze object behavior. For this work various build in detectors from MATLAB tool box were tested and compared. The evaluation of algorithm was carried on for 19 short videos from 8 seconds to 23 seconds, and then it applied to K-dataset and full road experiments by the Automated Driving Lab. The full road tests are between one to five minutes, including CAR to CAR WEST, CAR WEST to CAR, and campus marked roads.
Core Technologies and Harmful Effects of 5G Wireless Technology
Authors: Deivakani M , Neeraja B , Reddy K Srinivasa , Sharma Himanshu , Aparna G 
Published: March 2021

Abstract
5G (fifth generation) technology is used to interconnect all terminals, networks, multiple wireless technologies, applications simultaneously which can also switch between them based on VOIP (Voice-over-IP), flat IP, and Internet Protocol Version 6 (IPv6), thus user experiences call volume services and high-level data transmission. 5G network is reliable and very fast with minimum delay, higher data rate, greater security, real-time data handling, less error rate, and few data losses. The core technologies used in 5G networks include cloud computing, Heterogeneous Network (Het Net), internet of things (IoT), Cognitive Radio (CR) network, software-defined networking (SDN), Multiple Input Multiple Output (MIMO), and massive MIMO. 5G produces different harmful effects such as human health issues, environmental issues, health issues on birds and animals, thermal effects, etc. Regulating agencies have to set a Specific Absorption Rate (SAR), its maximum levels for handsets, and every mobile phone must have a SAR rating. 5G technology is used as intelligent technology in which 5G mobile phones can also be used as a tablet PC. This paper presents a general review on 5G along with its comparison with 4G, the general architecture of 5G, a detailed explanation about core technologies of 5G, and also harmful effects on different issues using 5G.
Feature Extraction and Reconstruction of Medical Images using Two-Dimensional Principal Component Analysis
Authors: Reddy Srinivasa K , Jaya T 
Published: March 2021

Abstract
Two-Dimensional Principal Component Analysis (2DPCA) is a classical technique used to reduce the cost of computation than standard PCA. In 2DPCA, images are treated as vectors and appear image as a matrix which is further computed and results as Eigenvalues consisting of lower dimensionality as compared to PCA. 2DPCA depends on the image matrix which is a computationally most efficient method than PCA used to enhance feature extraction speed and high accuracy. 2DPCA is represented as an image matrix, its Co-Variance matrix is computed with the image matrix directly without converting into a 1D vector, and Eigenvectors are obtained for feature extraction. 2DPCA computes an accurate Co-Variance matrix and finds Eigenvectors most efficiently. K-Nearest Neighbor (KNN) algorithm is used for classification. 2DPCA is the best method to obtain reconstruction accuracy than PCA. The main advantage of 2DPCA is less time required for feature extraction and to provide the highest reconstruction accuracy. For testing and evaluating 2DPCA performance, we are conducted several experiments using different databases such as IRMA, WANG, etc., for different medical images and observed that reconstruction accuracy depends on increasing the number of principal components.
Evaluating the Performance of Some Local Optimizers for Variational Quantum Classifiers
Authors: Joshi Nisheeth , Katyayan Pragya , Ahmed Syed Afroz 
Published: March 2021

Abstract
In this paper, we have studied the performance and role of local optimizers in quantum variational circuits. We studied the performance of the two most popular optimizers and compared their results with some popular classical machine learning algorithms. The classical algorithms we used in our study are support vector machine (SVM), gradient boosting (GB) and random forest (RF). These were compared with a variational quantum classifier (VQC) using two sets of local optimizers viz AQGD and COBYLA. For experimenting with VQC, IBM Quantum Experience and IBM Qiskit was used while for classical machine learning models, scikit-learn was used. The results show that machine learning on noisy immediate scale quantum machines can produce comparable results as on classical machines. For our experiments, we have used a popular restaurant sentiment analysis dataset. The extracted features from this dataset and then after applying PCA reduced the feature set into 5 features. Quantum ML models were trained using 100 epochs and 150 epochs on using EfficientSU2 variational circuit. Overall, four Quantum ML models were trained and three Classical ML models were trained. The performance of the trained models was evaluated using standard evaluation measures viz, Accuracy, Precision, Recall, F-Score. In all the cases AQGD optimizer-based model with 100 Epochs performed better than all other models. It produced an accuracy of 77% and an F-Score of 0.785 which were highest across all the trained models.
A Novel Voice Controlled Robotic Vehicle For Smart City Applications
Authors: Surjeet  , Gupta Nishu 
Published: March 2021

Abstract
There are a lot of researchers working towards enhancing the connection between humans and robot. In this article, we have developed a robotic vehicle which can be controlled by voice commands. The control system of the robot movement will respond to the voice of the commanding person. A Texas board, MSP432P401R is connected to TI-RSL (Texas Instruments-Robotic System Learning) kit and used together with Wi-Fi module, CC3100 booster pack interfaced to an android application IFTTT (If This Then That) and Blynk to transmit the voice commands. The proposed system is designed based on microcontroller (MSP432P401R) which is connected to smart android phone through Wi-Fi module for receiving voice commands. The voice commands are converted to text by an android app and sends necessary data to the controller for robot movement. The voice commands are processed in real-time, using an online cloud server called Blynk. After receiving each command from the controller, the TI-RSL kit responds and moves in the desired direction. Moreover, we have also used camera module to watch the live streaming and direct the robotic vehicle without facing any obstacle. The camera is interfaced with Raspberry Pi for live streaming. The purpose of our article is to use this robotic vehicle in high toxic areas, where human cannot reach but human voice can.
Design and Analysis of Solar PV Rooftop in Motihari
Authors: Kumar Aditya , Andleeb Marya , Bakhsh Farhad Ilahi 
Published: March 2021

Abstract
Electricity in the modern world holds the backbone of humanity and its demand is increasing every day. Due to multiple factors, in developing countries like India, the continuous supply of electricity seems to be far-fetched due to the constant shutting down of grids (because of severe climatic conditions). The well-known sources for the production of electricity are conventional energy sources, but their supply is limited and more importantly they cause pollution. These factors raise the need to utilize renewable energy sources to the fullest. Among the available renewable energy sources, solar photovoltaic (SPV) is mostly used. In the paper, a 4 kWp SPV plant has been proposed for a residential building in Motihari, Bihar, India. The SPV plant is designed in such a way that it would ensure continuous supply of electricity. The selected location gets an average of 1156.39 W/sq.m of solar irradiation, which produces a 4.6 kWh amount of electricity using a solar rooftop plant having a capacity of 1 kWp considering 5.5 sunshine hours. The designed 4 kWp SPV plant is analyzed using PVsyst V6.8.1 software. The analysis shows that the designed SPV plant saves around 113 tonnes of carbon dioxide emissions, which is equivalent to planting 181 trees over a lifetime.
Failure Analysis of Power Transformer Based on Transformer Turn Ratio Test and SFRA
Authors: Prasetyo Agung , Supriyanto Eko 
Published: March 2021

Abstract
A power transformer is one of the most key components of energy transmission and distribution in an electric power system. Inter-turn disturbances or short circuit faults may occur because of insulation degradation between one or more successive turns of the windings. If the fault is not detected early, it may spread to the nearest winding turn and causes permanent damage to the winding. Therefore, it is necessary to detect inter-turn faults to prevent catastrophic failure of the transformer. In this study, failure analysis of a transformer that approaching the catastrophic stage is conducted using sweep frequency response analysis (SFRA) and transformer turns ratio (TTR) testing methods. Correlation between SFRA & TTR tests is analyzed. TTR test before rewinding is > 0.5%, while after rewinding is < 0.5%. 400 VAC voltage is applied, and the output voltage is measured. SFRA and TTR results show that there is a linear correlation for all phases. It can be concluded in this study that the TTR test can be used to detect transformer failure.
Ripple torque lessening in space vector pulse width modulation based direct torque control of permanent magnet synchronous motor drive
Authors: Lemma Berhanu Deggefa , Pradabane Srinivasan 
Published: March 2021

Abstract
In this work, the ripple reduction in torque using space vector pulse width modulation based direct torque control of permanent magnet synchronous motor by employing the predictive current to estimate the flux magnitude is discovered. To lessen the ripple in current, a model-based predictive current is used to estimate the magnitude of current applied for flux estimation. Two control plans are applied to show the viability of the framework. MATLAB/Simulink is used to develop a model of PMSM and simulate the system considering different control algorithm. Simulation is performed for both simple current control and SVPWM-DTC control scheme. The result of the simulation indicates that the torque and current ripple is less for SVPWM-DTC with considerable initial overshoot.