Reviewerly/exHarmony huggingface dataset:
Aplikasi “Quizz Me” Untuk Evaluasi Pembelajaran Siswa Berbasis Android Pada Jenjang SMP

ABSTRACTThis research was conducted during the current pandemic where all learning cannot be done face-to-face in the classroom and is replaced by virtual means, so an application like QuizzMe is needed to assist teachers in evaluating virtual learning. The purpose of this research is to create a QuizzMe application for learning evaluation media at the junior high school level and to make it easier for teachers to store learning evaluation questions. The development model used is the ADDIE development model. ADDIE can be used for various forms of product development such as models, learning strategies, learning methods, media and teaching materials, the stages of developing learning models are (1) analysis, (2) design, (3) development, (4) implementation and (5 ) evaluation. The system design in the making includes making flowcharts, use case diagrams, activity diagrams, and sequence diagrams. Then implemented in the SQL programming language using the MySQL database. The results showed that the expert validation assessment using a Likert scale obtained an average result by two material expert validators of 97.5% and two media expert validators of 75%, so that the average of the four validators could be declared suitable for use. Then the assessment of the respondents using a Likert scale, obtained an average result of 72% and was declared suitable for use.
PENGEMBANGAN MEDIA PEMBELAJARAN JARINGAN KOMPUTER BERBASIS ANDROID DENGAN MIT APP INVENTOR KELAS X SEMESTER GANJIL DI SMA N 1 AMBARAWA

This research is based on the computer network learning process carried out by the teacher and students delivering material that is done in conventional ways such as lectures and books make students less active so that it results in lower student grades not good. To overcome this problem, a media was developed learning to use Android is more effective, efficient, and can improve enthusiasm and student learning outcomes. This research was conducted to describe the process of development of learning media and measuring the level of effectiveness and feasibility learning media for computer network class x odd semester at SMA N 1 Ambarawa. The purpose of the research is to increase students' interest in learning by using information and communication technology, especially Smartphones in the form of applications android. This study uses themethod Research and Development with the model development waterfall which has several stages of requirements analysis, system design, implementation, system testing and maintenance. This product design includes data, navigation, flowchart and user interface. With data collection techniques carried out by means of observation, interviews and questionnaires. The results showed that material expert validation got a score of 96%, while for validation by media experts get 89% so it can be concluded that the development of learning media is very valid with very good criteria for used. Percentage of respondents by students with practicality test average results a percentage of 85.5% can be concluded that the development of learning media Android-based is very practical with very good criteria for use.Suggestions that can be given should be from SMA N 1 Ambarawa to get apply learning media using android to students as one of the supporters of the learning process.
PENGARUH KECERDASAN EMOSIONAL, PERILAKU BELAJAR, DAN MINAT BELAJAR TERHADAP TINGKAT PEMAHAMAN AKUNTANSI MAHASISWA DI YOGYAKARTA

The level of understanding of accounting is very important because it can know the knowledge that has been obtained during lectures to equip it to become an accountant so that it can carry out the role of the accounting profession in the business world. This study aims to determine the effect of emotional intelligence, learning behavior, and interest in learning on the level of understanding of accounting in students. Data collected in research throught online questionnaires. Sampling used a purposive sampling technique with the criteria of accounting students in semester 7 whose accounting study program has been accredited A and Unggul; taking or has taken courses in introduction to accounting, intermediate financial accounting, advanced financial accounting, auditing, and accounting theory. The sample of this study was 113 active students of the Accounting Study Program at UPY, UTY, UMY, UMBY, UAJY, UII, UST, UGM, UNY, UPNVY, and STIE YKPN Yogyakarta. Data analysis techniques using multiple linear regression models. This study shows that emotional intelligence affects the level of understanding of accounting, while learning behavior and interest learning do not affect the level of understanding of accounting
Pengaruh Media Quizizz terhadap Motivasi dan Prestasi Belajar Peserta Didik pada Mata Pelajaran IPS Materi Sumber Daya Alam Kelas VII SMP Kurikulum Merdeka di Kabupaten Banyumas

Quizizz is a digital platform that is currently often used in learning activities. This application can be used as an alternative fun learning media for students. The purpose of this study was to determine the effect of Quiziz media on students' motivation and learning achievement in social studies learning. This study uses a quasi-experimental quantitative. The population for this study were junior high schools in the sub-rayon 1 area of Banyumas, while the samples were SMP Negeri 5 Purwokerto, SMP Negeri 7 Purwokerto dan SMP Muhammadiyah 2 Purwokerto. The sampling technique used purposive sampling with the consideration that the school is still in the working area of the researcher so that it makes it easier to do research. The results of this study on learning achievement showed that there was an interaction between groups and pre post scores (F= 6.549; sig &lt; 0.05). It can be seen that there is a difference at the 5% level (t=4.192; p&lt;0.05). This means that the experimental group has a significant change compared to the control group. The treatment given to the experimental group was declared successful. Based on the results of the effect size on cohens d, a point estimate value of 0.630 is obtained. This means that the effective contribution of giving treatment in increasing scores in the experimental group is 63%. As for student learning motivation, the results of the calculation are proven by the significance reference t test (0.001) &lt;0.05, then H0 is rejected and Ha is accepted. This means that there are significant differences in student motivation between the control class and the experimental class. This shows that there is an effect of using Quizizz media on student learning motivation. Based on the results of the study it can be concluded that using Quizizz can encourage students' motivation in learning. so, students who are motivated in learning will be able to improve their learning achievement.
Technology Savvy in ELT at one of the Private Junior High Schools in Cilacap: Is it important or not?

The use of technology in daily life involves most people worldwide because technology can save time and effort. Technology in education is also critical to facilitating teaching and learning activities. Authentic material delivered with technology in learning can motivate students, one of which is language learning. The foreign language subject studied by junior high school students is English. This study aims to determine the use of information and communication technology (ICT) in teaching English (ELT), the media and applications used in teaching English, and the challenges of using information and communication technology. The research method used in this research is a qualitative approach. Data collection techniques in this study were interviews and questionnaires. The study results are based on consultations that most English teachers use ICT in ELT using a laptop, LCD, projectors, and internet media according to the required standards. Furthermore, the teacher also stated that all teachers had used media or applications to help them deliver learning materials to students so that students could more easily understand them. The teachers noted that these media and applications were instrumental in learning, where the press or applications immensely helped both teachers and students. The obstacle that causes not carrying out ICT-based education is that students cannot use cell phones for English learning media during offline learning at school because school regulations prohibit students from holding cell phones at school because, in reality, they open more to other things such as social media. Compared to the English material recommended by the teacher.
Exploring Strategy In Teaching Vocabulary (Qualitative Case Study Of Member Quarantine And TOT Program of Libam IAIN Parepare)

This research was carry out at LIBAM IAIN Parepare. Problem in this research is that the strategy used by instructors in the Quarantine and TOT program by LIBAM IAIN Parepare has not been revealed in increasing the vocabulary of the participants. This study aims to describe the strategies used by activity of instructors in increasing vocabulary in the program.&#x0D; This type of research is qualitative research. The research subjects were instructors and participants in the Quarantine and TOT by LIBAM IAIN Parepare, totaling 22 people. The sampling technique was carried out by the snowball sampling method. The key instrument in this research is the researcher himself. The data collection technique chosen by the researcher is interview. To test the validity of the data, the researcher conducted Source Triangulation between the instructors and the participants. Data analysis techniques were carried out by referring to Miles and Huberman, namely data reduction, data display and data conclusion.&#x0D; The results of the research showed that the strategy used by the instructors in increasing the vocabulary of Quarantine and TOT by LIBAM IAIN Parepare was presentation strategies (using of picture, using body movement (gesture), using video, translation and exemplification), practice strategy (classroom test and games), strategy for strategies training (guessing from context and looking up dictionaries).&#x0D;
UPAYA PENINGKATAN PRESTASI BELAJAR PADA PESERTA DIDIK DI SMK NEGERI 1 PATI

This study aims to analyze the principal's policies, teacher efforts and student efforts in improving learning achievement. The research method is descriptive qualitative. Data collection instruments used interview guidelines, observation sheets and documentation. Test the validity of the data using technical triangulation and source triangulation. The data analysis technique uses Miles and Huberman interactive analysis: data collection, data condensation, data display, and conclusion drawing/verification. The results of the research include: Schools in collaboration with DUDI (Industrial World Business) in accordance with expertise competencies; Principal's policy to increase accreditation; Principals provide guidance and training to teachers in accordance with the areas of competence being taught; Principal conducts academic evaluation and supervision; Teachers participate in training and IHT activities; The teacher conducts a survey of students; Teachers provide training, coaching and motivation to students; Teachers use digital media such as Canva to train students' skills; Students participate in training and coaching activities in entrepreneurship activities; Students listen and understand the material explained by the teacher; Students work on and submit assignments on time.
School Financial Management for Facilities and Infrastructure at Elementary School

This study aimed to analyze and understand financial management at SD Muhammadiyah 22 Surakarta Elementary School (M22SES), Central Java, Indonesia. This study used a qualitative descriptive method, which aims to describe financial management and its relation to the management of school infrastructure. The authors collected data through observation, interviews, and documentation. The data were separated according to categories to obtain a conclusion. The results of this study showed that (1) financial management was well managed for the budget for facilities and infrastructure, (2) the school budget was planned for existing facilities and infrastructure, conditional or stable organization and is monitored in schools, (3) facility management and infrastructure of M22SES were controlled by bookkeeping so it can assist in procuring facilities and infrastructure as well as managing financial management
INFLUENCE OF QUANTUM LEARNING MODELS ASSISTED WITH ASK FLASHCARD MEDIA ON WRITING SKILLS

This study aims to determine the impact of using the Quantum Learning model assisted by Flashcard Question media on the writing skills of fictitious texts for Class V SD Negeri Purwosari, Secang District, Magelang Regency.This research is a type of Pre-Experimental Group Pretest-Posttest Design. Research subjects were selected by total saturation sampling. All members of the population have the same opportunity to be sampled. Sampling in this study means that all fifth grade students at SD Negeri Purwosari totaled 23 students. The data collection method was carried out using performance appraisal. Test the validity of the instrument using the expert test. Data analysis used a parametric statistical test, namely the Paired Samples T-Test with the help of the SPSS for Windows version 24 computer program. The conclusion of this study is that the quantum learning model assisted by question flashcard media has an effect on students' fiction writing skills. This is evidenced by the results of the paired samples t-test analysis, the value of Sig. (2-tailed) is 0.013 0.05, then H0 is rejected and H1 is accepted. This means that there is a significant influence from the application of the quantum learning model assisted by question flashcards on the skills of writing fictional texts in grade 5 SD Negeri Purwosari.
SELF-TRAINING OF FUTURE SKILLED WORKERS USING INNOVATIVE LEARNING TECHNOLOGIES IN THE EDUCATIONAL PROCESS

The article considers the importance and methods of self-training in the educational process of future skilled workers, emphasizing the importance of using innovative learning technologies, developing personal thinking and the ability to innovatively apply knowledge in practical activities. Modern approaches to self-training in the educational process of educational institutions are analyzed, including the use of active and interactive methods of self-development, the involvement of future qualified workers in the self-improvement of professional skills. The key role of the implementation of self-training in the educational process of training future qualified workers is emphasized, the importance of this aspect for the development of professional competences in the information and technological environment is emphasized. The role of active and interactive learning methods in attracting students to a deep understanding of self-development and practical application of knowledge in professional activities is determined. The importance of self-training for the development of professional skills and abilities, which determines the preparation of future qualified workers for independent work, is clarified. The need to provide access to modern resources and improve the qualifications of future skilled workers for the effective implementation of self-improvement in the educational process is emphasized. A comprehensive approach to reforming educational programs and teaching methods is proposed, which is crucial for the formation of highly qualified future skilled workers ready for innovative learning technologies. Such systematic training for self-development will contribute to the formation of professional competence in future qualified workers with the use of innovative technologies. A conclusion was made about the need for self-training in the educational process to ensure a high level of preparedness of future qualified workers, given the dynamically changing requirements of the modern educational environment.
Disease Classification of CXR Images by AlexNet Transfer Learning

The purpose of this study is to classify COVID-19 CXR(Chest X-Ray) images using a CNN(Convolutional Neural Network) modified from AlexNet using a transfer learning method so that it can be used as an auxiliary method when diagnosing diseases in medical settings. The Dataset used in the experiment uses "COVIDGR-1.0 Dataset". "COVIDGR-1.0 Dataset" is a collection of 784 anonymized X-ray images and, in collaboration with a team of radiologists, built into the dataset in accordance with labeling protocols. The proposed CNN is a fine-tuned build of pre-trained AlexNet, which takes the "COVIDGR-1.0 dataset" as input and categorizes it into Normal, Mild, Moderate and Sever according to the labels and categories. Experimental results of the disease classification of CXR images show that the AUC(Area Under the Curve) is 0.8781, with accuracy of 87.81%. It is believed that the results of this study can be used in the following fields. First, it can be used as an auxiliary tool for diagnosing lung diseases. Second, if the data set is ready, it can be used to classify other diseases. Third, data can be stored separately through classification. Fourth, in the medical field, the object to be classified can be imaged using a smartphone and then classified and stored. This study has the following limitations. The problem with automatically classifying diseases is the vastness and integrity of the dataset. If the data is not prepared, it will cause problems with the accuracy of classification. And in the medical field, doctors' decision-making (diagnosis) is not limited to image data. There is a limitation in that doctors make decisions based on comprehensive data and that medical decisions cannot be made by machines without the doctor's intervention. Determining the decision threshold in decision making problems by AI is also an important limitation. This is because setting reference points for sensitivity and specificity is not the domain of AI experts but of experts in the field. Therefore, medical staff in the field must participate in the process of developing AI in the medical field. Future tasks include continuing research in connection with program input stage development, performance improvement, app development, and medical big data servers.
Direct Optical Particle Tracking - a technique for size distribution assessment

Nanotechnology, an emerging discipline within material science, has ushered in a new era of engineering by creating nanostructured materials with distinctive properties suitable for a wide range of bioengineering applications. The shape and size of these materials constitute critical variables, determined by the chosen synthesis method and chemical precursors. Silver nanoparticles, synthesized through chemical processes, exhibit antibacterial properties when their size falls within a specific range. However, measuring the size of such nanoparticles, typically in the nanometer to tens of nanometers range, necessitates specialized techniques like Dynamic Light Scattering and Transmission Electron Microscopy. These methods are often limited by assumptions, high costs and longer measurement times. This paper introduces a novel approach utilizing Direct Particle Tracking for assessing particle size distribution in the early stages of nanoparticle synthesis. The study used realistic computer simulations of nanoparticle diffusion, employing the CHODIN code and a specific code for Direct Particle Tracking written for this purpose. The Brownian motion of each particle is recorded, the mean square displacement is computed and the diffusion coefficient, as well. The diameter of each particle is assessed and here from the particle distribution. The results on simulated particle diffusion demonstrate the feasibility of using Direct Particle Tracking as an effective method for size distribution assessment in the initial phases of nanoparticle synthesis. This innovation opens the door to real-time monitoring and control of nanoparticle size in bioengineering applications, promising significant advancements in the field of nanotechnology.
Knowledge Graph Construction of Near-Homonymy and Near-Synonymy English Words

This paper investigates the issue of near-homonymy and near-synonymy in English vocabulary learning and explores the significance and practical value of addressing this problem. Through data analysis, we emphasize the widespread demand for English language acquisition and the importance of the English language. Furthermore, we cite research in the field of education to provide evidence of the positive impact of near-homonymy and near-synonymy on word memorization. The main research work of this paper includes the construction of a graph database and the measurement of near-homonymy and near-synonymy. We describe in detail the workflow of building the graph database, including the definition of nodes and edges, as well as edge filtering methods. Additionally, we introduce the mathematical principles and formulas used to calculate near-homonymy and near-synonymy. The experimental section presents the data source and the process of constructing the graph database, including data preprocessing, similarity calculation, and parameter settings. We establish a graph database using neo4j and showcase the intermediate results of near-homonymy and near-synonymy, as well as visualization results. Finally, we summarize the main findings of this paper and discuss the prospects for applying similarity calculations based on word origins.
Empirical Study on the Impact of Capital Structure on Profitability in Blockchain Industry-Based on the Data Analysis of 127 Listed Companies

Under the background of the rapid development of the digital economy, a new round of technological revolution represented by blockchain is emerging, and blockchain and other high-tech industries have become the technological support for economic development in the new era, which has attracted the great attention of countries around the world. How does the current capital structure of China's blockchain-listed companies generally affect their profitability? This paper adopts the data indicators of 127 blockchain-listed companies in 2022 for factor analysis and multivariate model regression to further analyze the impact of capital structure on profitability status. The empirical results show that: 1. The gearing ratio and long-term debt ratio of listed companies in China's blockchain industry are negatively correlated with profitability, and the effect of the gearing ratio on profitability is greater compared with the long-term debt ratio; 2. The equity ratio is positively correlated with profitability.
Application of Machine Learning Algorithms in Detecting Credit Card Fraud: A Comparative Analysis

Credit card transaction have grown increasingly prevalent in the digital era, and along with them, so have incidents of associated fraud. Hence, identification and prevention of such frauds are critically crucial. Machine learning algorithms are predominantly employed in the realm of credit fraud detection. According to current literature, class imbalance of data, a great disparity in ratio between normal and fraudulent transactions, could severely affect the result in detection. In this paper, a combination of imbalanced classification methods, specifically the Synthetic Minority Random Oversampling Technique (SMOTE) and Under-sampling, is utilized to harmonize the dataset. Some popular machine learning algorithms are applied to detect frauds are compared and analyzed, including Logistic Regression, Decision Tree, Random Forest and XG Boost. The accuracy, precision, recall, F-1 score and Area Under Curve (AUC) of each algorithm are used as metrics of performance evaluation. The research findings indicated that among the four models tested, XG Boost, when coupled with balanced data yielded overall optimal results for classifying fraudulent activities.