Reviewerly/exHarmony huggingface dataset:
Practice Rehearsal Pairs Strategy in Learning Reading News

Practicing news anchor using reading aloud skill is important to increase student's ability in understanding the contents of the news and how they deliver information to the audience.This research was done in the teaching and learning of the Sundanese news items through 4 aspects in news anchor: understanding the news contents, rhythms, articulation, and lentong kalimah (melody of the sentence).This research aims to apply Practice Rehearsal Pairs strategy in news anchor and how effective it is in teaching the students the Sundanese news items.This research was held at the 8th grade students in Bandung in the 2019/2020 academic year.The students were divided into two groups; controlled class (VIII A) and experiment class (VIII B).The method used is an experimental study method, with a posttest-only control design.The conclusion of the research is the Practice Rehearsal Pairs can increase the capability of news anchor skill upon the student.The students in experiment class have increased in the capability in news anchor and got the score 79.5.They can be categorized as capable in understanding the contents of the news, rhythm, articulation, and lentong kalimah.
Diskominfo Gresik’S Innovation Through Social Media Management Tools

Today's technological developments show tremendous progress.Many from the realm of life have taken advantage of the existence of technology itself.Government agencies are no exception.The government's work as a public service provider should not be separated from branding.The state of public information and communications services that national agencies have implemented to date is still limited in personnel, infrastructure, and organizational governance.Diskominfo Gresik has developed a new concept of social media management.They are known and want to have a good image of their city.They used social media management to develop the concept of social media tools based on usergenerated content to increase community involvement.This survey uses a qualitative method by interviewing Diskominfo.There are certainly a number of challenges in implementing the strategies implemented by Diskominfo, but they see them as a challenge to take this a step further.Diskominfo is in the early stages of preparing to use social media to spread the concept of the disclosure using self-developed social media management.It also refers to the guidelines for using social media by government agencies in Permenpan RB No. 83 in 2012.This study aims to get a complete picture of the concept of social media management tools implemented by Diskominfo Gresik.
Capturing Digital Literacy Skills in “Kampus Mengajar”: Novice Teacher’ Voice

In the 21st century, technological developments have snapped the world and brought significant transformations in education.The Indonesian government launches the "Kampus Mengajar" Program to face the challenges by giving opportunities for higher education students to apply their knowledge and skill in the real context when they follow teaching practice.Novice teachers are hoped to be teachers' partners in adapting the digital literacy skill in the teaching learning process.They are the agents of change to embrace the rapid growth of technology in education.Digital literacy is an important skill for both teacher and students in the hybrid teaching learning process.Hybrid learning in rural schools allows problems for digital facilities to arise, and it might be a risk of losing an effective learning process.Through this program, novice teachers are expected to be able to assist the learning process by utilizing technological skills.As one of the novice teachers who follows that program, I want to capture the digital literacy skills of both teachers and students in one of the rural area schools in Indonesia.I use the narrative inquiry method by utilizing photovoice, observation, and interviews to collect the data.It is hoped that my experience can give insights and innovation in conducting teaching practice especially in the "Kampus Mengajar" Program.
OFF TO TOUR

Software that facilitates user demands is known as app development. Our study creates a unique pairing of two modules as a component of the software. Users work more efficiently and use less storage space with an application that combines social media and travel. This article demonstrates how a user can make trip reservations and post their travel experiences in the form of pictures and videos to the application. Our innovation also resolves the most pressing issue that all devices encounter, which is storage consumption by massive apps. This particular use can lessen that trouble. Keywords: Firebase, Java Script, Maps,Android Studio, Emulator.
Automated Wall Painting Robot for Mixing Colors based on Mobile Application

The final stage, which is the building paint or the adopted design, is where most real estate developers and constructors struggle.Where extensive painting is required, which takes a lot of time, effort, and accuracy from the firm doing the work.Additionally, it might be challenging to decide on the precise color grades for the design and calculate the right amount of paint to use for the job.Where these activities are extremely expensive, and the complex implementation is accompanied by worries and skepticism.These are the motivations behind the development of painting machines that blend colors.Artificial intelligence is used in the machine's design to make it efficient and quick at what it does.High accuracy is needed when selecting the proper colors, and this machine is distinguished by its ability to select the proper color tone.The color sensor (TCS34725 RGB) determines the relevance and accuracy of the desired color by comparison with the system database with the assistance of the light sensor (STM32), which measures the degree of illumination of the chosen place.By combining basic colors, this technique saves the customer the hassle of looking at specialized stores for the level of color they require.By giving the system the codes assigned to each color, it may also blend colors.The system also has the feature of controlling the machine remotely via smart phone application by enabling bluetooth and wifi features.
Analysis of cybercriminals and where they fall on the spectrum of crime

Analysis of published papers on criminal behavior raises questions about whether even the nature of cybercrime leaves room for the usual characteristics that show up in other types of criminals. This issue provides enough basis to consider a descriptive and quasi-experimental research aimed only at cybercriminals, which is also the aim of this paper. Taking into account the fact that there are almost no papers published on the same subject, the methods of this research are based on the gathering and analysis of raw data - videos and interviews of various cybercriminals, some under their real identity and others using pseudonyms. The observed characteristics will be compared with those of other types of criminals and with each-other, in an attempt to distinguish between causes and correlations in personality, social, economic and possibly other external and internal factors.
Comprehensive Evaluation Method of Arrangement, Scheduling and Route of Multi-vehicle

With the rapid development of autonomous driving technology and driverless cars, in many occasions, multi-vehicles are required to implement the entire task process including arrangement, scheduling, and routing. Although a large number of optimization algorithms have been researched and applied, there is a lack of certain standards and methods for judging the quality of the whole task process. In order to improve the overall planning effect, this paper constructs an evaluation index system for the entire task process, uses the analytic hierarchy process to assign weights to various indicators to complete the comprehensive evaluation, and combines the results of the comprehensive evaluation to give the optimization feedback to the planning algorithm. Experimental simulation verification is carried out for the improvement of the overall planning algorithm and the improvement of the comprehensive evaluation effect for the integrity of the evaluation index system and the optimization feedback.
Revised Method for Sampling Coefficient Vector of GNR-enumeration Solution

For selecting security parameters in lattice-based cryptographic primitives, the exact manner of BKZ algorithm (as total cost and specification of output basis) should be estimated in high block sizes.The simulations of BKZ are used to predict (estimate) the exact manner of BKZ algorithm which cannot be studied by practical running of BKZ algorithm for higher block sizes.Sampling method of GNR (Gamma-Nguyen-Regev) enumeration solution vector is one of the main components of designing BKZ-simulation and it includes two phases: sampling the norm of solution vector and sampling corresponding coefficient vectors.Our work, by Moghissi and Payandeh in 2021, entitled as "Better Sampling Method of Enumeration Solution for BKZ-Simulation", introduces a simple and efficient idea for sampling the norm and coefficient vectors of GNR enumeration solution .This paper proposes much better analysis for approximating the expected value and variance of the entries of these coefficient vectors.By this analysis, our previous idea for sampling the coefficient vectors is revised, which means that the expected value and variance of every entry in these coefficient vectors sampled by our new sampling method, are more close to the expected value and variance of corresponding entries in original sampling method, while these new sampled coefficient vectors include no violation from main condition of GNR bounding function (i.e., our new sampling method is not a rejection sampling).
Some ideas for STEM integrated teaching in the 11th grade Mathematics

The STEM integrated education is being strongly developed in Vietnam, facilitating students to apply flexibly and effectively the knowledge of Science, Technology, Engineering, and Mathematics to solve real-life problems. Following the new trend, STEM centers have been established throughout Vietnam in recent years. In addition, training programs for teachers and students on the STEM education, STEM conferences, and national/international competitions are also organized annually. However, the source of high quality materials for teachers in general and math teachers in particular is still limited. The 11th grade Math curriculum with the contents related to Algebra, Calculus, Probability, Solid Geometry, and etc., has applications in various fields and becomes background knowledge for the 12th grade Math and Higher Education Math program. Therefore, the authors decided to choose the current 11th Math program to research and propose teaching ideas integrating Chemistry, Biology, Engineering, and some Math softwares to support Math teachers in teaching in a new direction. On that basis, the important role of Mathematics in real life in general and in the STEM education in particular will be properly recognized.
Sentiment Analysis of Opinions on the Use of Devices in Students Using the Support Vector Machine (SVM) Method

Sentiment Analysis is a field of science in analyzing a sentiment or opinion on a particular object or problem and the opinion can be divided into several purposes (classes) that lead to negative, neutral or positive opinions. Gadgets (gadgets) are human aids in many fields including work, entertainment, communication and information, the use of gadgets themselves encompasses all ages including school students who use gadgets excessively that affect the mental, physical and attitudes of users. Twitter social media is one of the social media that is used by the public in making opinions about the influence of gadgets, especially parents, these opinions are useful for other users in determining the granting of access rights and direction for children, especially students in using gadgets. Opinion classification is needed in making it easier for other users to see whether opinions from the influence of gadgets fall into the negative, neutral or positive classes. The method used in the classification of opinion is Support Vector Machine (SVM). The data used in this study amounted to 1354 taken in 2019 using web scraping techniques on the Twitter site which are then pre-processed so that it can be processed into the program and classified into 3 classes of sentiments, namely negative, neutral and positive sentiments. In finding the average value of accuracy in the distribution of training data and test data using k-fold cross validation of 10-fold produces an average value of 85.3%. Then testing is done to measure the performance of the SVM method using confusion matrix in the percentage of training data and different test data and produces the highest accuracy value of 83.3%.
META-MODEL OF DESIGN OF INFORMATION TECHNOLOGY PROTOTYPE OF CLASSIFICATION OF OBJECTS BY IMAGE SHAPE USING GMDH NEURAL NETWORKS IN THE NOTATION OF A UNIFIED MODELING LANGUAGE

The article is devoted to the development of intelligent monitoring systems of technological processes based on the use of machine vision systems. The principles of object-oriented formalization of the process of designing information technology of the classification of objects by the geometric shape of the image obtained from the machine vision system are proposed in the article. The proposed information technology is based on the use of machine learning technologies and provides for the selection of the best structure of the classifier model from a set of candidate models. Construction of candidate models is based on the use of the group method of data handling, based on the principles of self-organization of models. The outline of the image of the object obtained from the intelligent monitoring system is the input information. The set of input data contains a set of morphometric parameters that describe the geometric shape of the figure formed by the contour of the image of the object, as well as the label of the class to which the object belongs. The formation of the set of input data is implemented in the block «Image Processing». The decisive rule of classification is built in the block of synthesis of models of information technology of classification. GMDH neural networks were used as an algorithm for model synthesis. The choice of the best structure of the model is performed by a set of criteria. The information technology for constructing the classifier model is implemented by supplementing the block of algorithms for synthesis of MSUA models with the block «Class of models», which implements the process of selecting the class of functions for building models, and the block «Verification of models», which implements the best model structure. Construction of the meta-model of the design process was performed using a unified modeling language. The functional meta-model is represented by a use case diagram.
STOICHIOMETRIC CALCULATIONS IN CHEMISTRY CLASSES

This paper presents the results of research on solving excess problems by the stoichiometric method of calculation, this approach is rational, simple, and easily adapted to the school program. If a student correctly wrote the equation of reactions, compiled an algorithm of tasks, and solved one task completely, then with a high degree of certainty it can be stated that he/she is able to solve the tasks of the suggested types. Thus, the number of analyzed problems increases and an opportunity arises in the high grades to converge in space and time problems of different types, and convergence in space and time makes it possible to notice the similarity and difference between different types of problems faster. The learning process becomes more effective as a result of constant and more intensive use of such mental actions as comparison, analysis, synthesis, classification, and abstraction. The system under discussion forces the student to refer more often to the condition of the problem and to comprehend it more deeply, using the table one can set the algorithm of solving a problem or on the known algorithm to make the condition of the problem and using this table with proper decoding of commands (operators) and translation of algorithms into one of the machine languages, one can make a program for programmable microcalculator or computer.
USING SHOW AND TELL METHOD IN IMPROVING THE STUDENTS’ VOCABULARY MASTERY TO THE EIGHTH GRADE STUDENTS OF SMP NEGERI 1 BATANG NATAL

The purpose of this study is to knowwhether using Show and tell method in teaching can improve the students’ vocabulary mastery or not. This technique can improve and increase student’s ability to learn the target language and make them enjoy in the teaching learning process. It supposes to motivate students to learn English actively by using show and tell method. Students also are encouraged to get long memorizing of the words and their meaning. The method that is used in this research is the classroom action research.For getting the needed data, the writer applies the library and field research. The library research is applied based on the needs of the books as the sources of theories and informations, and the field research is applied based on the need of data from the field, in this case from the SMP Negeri 1 Batang Natal. And as the instrument for collecting the data the writer uses the written test. To the result of implementing classroom action research inthe eleventh grade students of SMP Negeri 1 Batang Natal in 2020 - 2021 academic year, it showed a great improvement in which the mean score of students in pretest is 61.03, whereas in post test 1 is 68.60 and in post test 2 are80.37. Besides, the students’ score percentage in the pretest is 8.82%, from posttest 1 is 31.69 % and 82.35 % from post test of students who have passed the KKM.Next, the result of the students’ score improvement from pretest to posttest 1is 8.82 %, and from pretest to posttest 2 is 31.69%. The percentage got from the result of post – test 2 has achieved the criteria of successSo that, it can be concluded thatthere is a significant improvement of the students’ vocabulary mastery after they are taught by using Show and tell method”.And it can be stated that the formulated hypothesis is accepted.
REALIA IN EFL CLASSROOM: PROMOTING DESCRIPTIVE WRITING PROFICIENCY OF EIGHTH-GRADERS

Advancing students' writing skill as one of the benchmarks for the quality of literacy requires practical learning innovation. One of the models offered in this study was realia in English as a foreign language class. This research was conducted to determine if realia as a learning medium was effective to improve the students' descriptive writing ability. Quantitative was the design of this research in the form of a pre-experiment. The sample of this study consists of 19 students, 9 for male students, and 10 for female students. They were class eight at SMPI Al A'roof, Loceret, Nganjuk. The study was for three weeks and conducting five meetings. Two meetings are for collecting the data on the pre-test and post-test, and three meetings are to provide treatment to the students using realia as a learning medium in a descriptive writing class. The assessment criteria carried out include content, style, and mechanics. The data analysis indicated that the students' descriptive text writing achievement improved significantly. Therefore, it could be concluded that teaching realia writing helped develop the students' descriptive writing skills.
RANCANG BANGUN SISTEM CONTROLLING PENYIRAMAN TANAMAN KANGKUNG BERBASIS INTERNET OF THINGS

Kankung is a type of plant that is classified as a vegetable and is grown as food. The Mandiri Jaya Flowering Farmers Group in Cikupa Village, Karangnunggal has 9 blocks of farmland that are planted with kankung plants as one of the incomes of the farmers. The distribution of water to water spinach plants should be even and regular. For watering water spinach, 20 liters of water is needed, which is done manually by carrying water on the back and then watering the water spinach repeatedly. It is important to water kangkung plants regularly, once in the morning and once in the evening. Watering kangkung (a type of water spinach) is an important part of maintaining the plant, as it needs a sufficient supply of water to carry out photosynthesis and obtain the nutrients it needs to grow and develop. To support the automation process so that production factors can be achieved, a control system is required. One type of controller that is well-suited for use is a microcontroller. The researcher designed a Kangkung Plant Irrigation System Based on the Internet of Things to address the issues mentioned above. Farmers control the irrigation of watercress using smartphones, which makes their work easier and more efficient.
Application of the Quantum Kernel Algorithm on the Particle Identification at the BESIII Experiment

Abstract Particle identification is one of most fundamental tools in various particle physics experiments. For the BESIII experiment on the BEPCII, the realization of numerous physical goals heavily relies on advanced particle identification algorithms. In recent years, the emerging of quantum machine learning could potentially arm particle physics experiments with a powerful new toolbox. In this work, targeting at the muon/pion discrimination problem at BESIII, we have developed a quantum SVM classifier for the Noisy Intermediate-Scale Quantum (NISQ) device. By studying and optimizing various encoding circuits, the quantum SVM trained with the BESIII MC data shows comparable discrimination power than other traditional machine learning models. This has demonstrated the potential of using quantum machine learning techniques to form a new approach for particle identification in particle physics experiments. In this talk, we present the application of the quantum SVM for particle identification at BESIII, and demonstrate how to construct and optimize the quantum kernel. Furthermore, we present results obtained from the noisy simulator as well as the small-scale hardware to show the potential advantage of the quantum SVM algorithm.
Research on the Curriculum System of English Education Major in the Information Age: A Systematic Study

The core of college English multi-ecological curriculum reform is to explore a college English curriculum system that meets the personalized needs of students at different levels based on reality to improve the quality of teaching and learning This paper discusses the opportunities and challenges faced by college English teaching in the "Internet plus" era, the construction of hybrid teaching mode, the integration of college English classroom teaching and mobile teaching mode, and the higher requirements for teachers in the information environment of the "Internet plus" era, aiming to propose a new way to college English teaching in the new era.