Reviewerly/exHarmony huggingface dataset:
PENGARUH MODEL PEMBELAJARAN TEAM GAME TOURNAMENT TERHADAP HASIL BELAJAR PESERTA DIDIK PADA MATA PELAJARAN IPS DI KELAS IV SDN 3 TUGU

In class IV social studies courses at SDN 3 Tugu, the adoption of the Team Game Tournament learning model is being investigated to see whether it affects students' learning results when compared to control classes. In this case, a quasi-experimental research design is used with a non-equivalent control group design. A purposive sampling strategy was used to collect samples from students in 4th grade A and 4th grade B. A multiple-choice test was utilized to collect data on how well the learning process worked. The data were evaluated using tests for normality and homogeneity. while analyzing the hypothesis using the t test. The average posttest score for the experimental and control classes did not vary substantially (Sig. (2-tailed) of 0.075&gt; 0.05), according to the results of the t-test utilized for hypothesis testing. Following that, H_o is accepted whereas H_1 is refused. As a consequence, courses that use the Team Game Tournament (TGT) learning paradigm and those that do not do not provide different learning outcomes. Among the analyses that show the TGT model is ineffective are the absence of treatment, the students' health at the time of the study, and the inadequacy of the social studies material on natural resources for the TGT model.
Credit Card Fraud Detection using Ensemble Machine Learning Method - Gradient Boosting Framework

Abstract: The use of credit cards has become commonplace in our daily lives, transforming the way we make cashless payments and making all types of transactions more convenient for buyers. However, credit card fraud has also become increasingly prevalent as the number of users has risen. Criminals may illegally obtain an individual's credit card information and use it for fraudulent activities. This project involved collecting a sample of a publicly available dataset from Kaggle, consisting of 284,807 credit card transactions. Extreme Gradient Boost was used to detect fraudulent transactions, and it was found to be the most effective method, achieving the highest AUC value of 97.67% after thorough analysis.
PENERAPAN MODEL DISCOVERY LEARNING KOMBINASI MEDIA SEMPOA BERBASIS APLIKASI SIMPLE SOROBAN UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV SEKOLAH DASAR

Low learning outcomes and mastery of competence in mathematics is still a minimum. So an alternative is needed to overcome this problem. This study aims to describe and determine the application of the covery learning model combined with the Simple Soroban application-based abacus media in improving student learning outcomes in mathematics in fourth grade students at SDN Sukun 01 Malang City. This research was conducted at SDN Sukun 01 Malang City on March 27 and 31 2023 with class IVB subjects consisting of 27 participants. Classrom Action Research (PTK) lasts for two cycle. In each cycle consists of four stages namely planning, implementation of action, observation and reflection. The data collection uses test and notes techniques. Data analysis was carried out in a quantitative and qualitative descriptive manner. Based on the results of the reasearch data analysis it was declared successful because the percentage of calssical completeness of student learning outcomes and exceeded the succes indicator which was 85.18% in the “Very High” category of the minimum percentage of 75%. With the number of students who were declared “Completed” by 23 students out of a total of 27 students.
Getting Multicultural Concepts from Malaysian Modern Pewter Craftwork

Traditional pewter craft in Malaysia has a development history of more than 100 years and achieved success in the modern market, compared to the recession in the original countries of traditional pewter manufacturing such as China and Euro-American countries. This article is a study of the multicultural features contained in the design of pewter craft works, which is one of the main factors for the success. The evaluation method is based on judgmental or purposive sampling on part of a large collection of pewter craft works from major Malaysian companies and local pewter craft workshops. The analysis of this study reveals a regulation of the multicultural features in Malaysian modern pewter craft works, and provides a way how artisans and designers get multicultural design awareness. A set of practical steps about the way of designers combine the production of traditional craftwork with different cultural elements, which is effectively beneficial to develop a traditional cultural craft in contemporary time. The findings of this study are expected to be useful in culture-based design, expanding the cultural vision of contemporary artists and designers based on the way of thinking and rules of the internal evolution of a country's culture.
Challenges and funding strategies for digital education in European primary schools

This paper focuses on digital education in European primary schools, examining trends, challenges, and financing strategies. The study uses a combination of research methods, including the comparative method, analysis, synthesis, induction and deduction, statistical data collection, and the monographic method. The paper identifies the current state of digital education in primary schools across Europe and highlights the challenges faced by educators and policymakers in implementing digital education initiatives. It analyzes the different financing strategies adopted by European countries and their effectiveness in promoting digital education in primary schools. The study finds that while many European countries have made significant progress in digital education, there are still challenges to be addressed, including infrastructure and connectivity issues, digital skills gaps, and funding constraints. The paper concludes with recommendations for policymakers and educators to promote digital education in primary schools and ensure that all students have access to quality digital learning opportunities.
Effectiveness of WhatsApp in Vocabulary Learning

Vocabulary is the backbone and prominent feature in language acquisition. Limited vocabulary causes a major breakdown in both written and oral communication which inflicts inefficiency among Malaysian students despite being exposed to the vocabulary for more or less than 11 years. In order to tackle students’ eagerness to acquire vocabulary, teachers are to be creative and aware of the current changes in the teaching and learning process. The mushrooming of technologies including mobile phones has provided students with learning mobility in recent years and has a great influence in the education field. The use of instant messaging mobile applications has become an epidemic among generation Z (Gen-Z). The current study attempts to explore the effect of WhatsApp in assisting tertiary level students to learn vocabulary. A quasi – experimental study was employed which lasted for six weeks with the participation of Psychology students from a private educational institution. The participants were given a vocabulary pre-test before receiving vocabulary instruction via WhatsApp. Later, they sat for a post-vocabulary test. The t-test results indicated that WhatsApp had a significant effect on assisting students to learn vocabulary. It is clear that WhatsApp has a wide range of possibilities in class that needs further exploration.
The User-Friendliness and Effectiveness of the Interactive E-Book "Learn Malay With Rene" for Adult Foreign Speakers

The rise of e-books has been adopted in the education system around the world due to its positive impact on the learning environment, including language learning. However, previous research has shown that the use of interactive e-books in learning Malay in Malaysia is still not encouraging. The purpose of this study is to investigate the user-friendliness and effectiveness of self-learning Malay among adult foreign speakers. This study used mixed mode research and the Technology Acceptance Model (TAM) as a quantitative framework. The research material chosen is an interactive e-book titled "Learn Malay With Rene," which was written and developed by the researcher with the participation of 18 adult foreign speakers and expatriates from Iskandar Puteri, Johor Bahru. The study's findings show that adult foreign speakers positively perceived e-book designs with interactive elements and multimedia features that are user-friendly and simple to use. Meanwhile, respondents were optimistic about interactive e-books as a self-learning Malay language tool. The study can be used as a reference for designers when creating materials for interactive e-books for learning Malay. Adult foreign speakers clearly enjoyed the audio-visual learning material and appreciated the interactive links in the e-book that included graphics, music, videos, games, and quizzes. As a result, it is possible to conclude that interactive e-books should be expanded in all fields, particularly in teaching and learning Malay.&#x0D;
Physicians’ Perception and Practice of Prescribing Vitamin B Combination versus Antiepileptic Drugs for Diabetic Neuropathy: Content Validity, Reliability and Pilot Study

Background: Diabetic neuropathy (DN) is the most common complication of diabetes mellitus causing increased morbidity and mortality. Although international guidelines did not include vitamins and dietary supplements in any line of management, these agents were prescribed by a significant number of physicians either as preventive or treatment of DN. This study aimed to develop a validated questionnaire that examines the physicians’ perception and practice towards prescribing vitamins or dietary supplements for DN treatment.&#x0D; Method: The questionnaire was developed upon literature review via PubMed, Medline, Web of Science, Scopus, and Google Scholar. The questionnaire was revised upon experts’ views and opinions. The constructed questionnaire was validated by the means of content validity and internal consistency. Finally, the developed questionnaire was piloted in a small representative sample of the original future aimed research target population, to test its applicability and feasibility.&#x0D; Results: A total of 19 items questionnaire were developed in two domains (perception and practice). Content validity analysis results met a satisfactory level, in which the S-CVI/UA value was 0.84 and 0.89 for clarity and relevance respectively. The questionnaire also showed good reliability, in which the Cronbach’s alphas was 0.824.&#x0D; Conclusion: This study showed the ability to construct a questionnaire with good levels of content validity and reliability that can cover different aspects of the current state of perception and practice among physicians regarding the management of DN.
Forensik Video Pada CCTV Menggunakan Framework Generic Computer Forensics Investigation Model (GCFIM)

The level of crime recorded by CCTV (Closed Circuit Televison) cameras continues to increase, criminals who are proven to have committed certain criminal acts will be punished in accordance with statutory regulations. The problem is how a case recorded on a CCTV camera can be used as digital evidence at trial. And how to handle it if there is evidence that has been manipulated or changed by irresponsible parties to eliminate traces of digital evidence. Digital evidence is closely related to ensuring the security, privacy and integrity of data when following the stages of the forensic digital identification process. The identification model using the Generic Computer Forensic Investigation Model (GCFIM) Framework is used for the investigation stage in finding information related to video recording metadata on CCTV cameras, in order to provide structured and valid information to be accepted in court as digital evidence. The results of this study obtained information on the data testing process using the Generic Computer Forensic Investigation Model (GCFIM) framework and for the metadata analysis process using two tools, namely exiftool and mediainfo. Testing is done on the original video and tempering video. Regarding the metadata of the original video and tempering video, there is a very significant difference in the size of the original video 4.6Mb while the tempering video is 4.2Mb, the duration of the original video is 38s for the tempering video 32s and the modification date / time for the original video 2020:03:21 while the tempering video is 2022:08:04. It can be concluded that exiftool and mediainfo can be utilized to obtain metadata information from data, with the aim of strengthening digital evidence at the time of trial regarding the validity of the data
Mobile-Based Licensure Examination for Teachers (LET) Reviewer for Social Science: A Comparative Analysis on Student Performance in LSPU-CTE Students

With the country's quest to provide quality education, teachers must pass the Licensure Examination for Teachers.In line with this, Higher Educational Institutions (HEIs) align their curriculum by integrating review sessions for their learners to equip them and increase their chances of passing the licensure examination after graduation.Using this groundwork, the proponent developed a Mobile-Based LET Reviewer for Social Science to be utilized by the students at Laguna State Polytechnic University (LSPU) under the College of Teacher Education (CTE) which can help CTE students to develop the necessary skills needed in passing licensure examinations.It focuses on the idea that this reviewer is an android application that can be utilized offline with questions mainly concentrated on questions related to the Social Science specialization.Moreover, the current study aimed to determine the level of acceptability of the Mobile-Based LET Reviewer in terms of its components as to objectives, content, and feedback.It also tested the level of acceptability of the Mobile-Based LET Reviewer in terms of its features as to usability, graphics, format, and design.The researcher also aimed to determine the mean performance of Social Science and Non-Social Science students, and the significant difference in the mean performance of Social Science and Non-Social Science students in terms of pre-and post-assessment.The pre-experimental method using a one-group pretest-posttest approach was used in this study.The research involved thirty-eight (38) Social Science majors and sixty (60) Non-Social Science majors from the College of Teacher Education selected by using Purposive Sampling technique.The developed Mobile-Based LET Reviewer was validated by teachers/instructors from LSPU-CTE Santa Cruz Campus and the level of acceptability was assessed by 20 Social Science experts and 20 ICT experts from Secondary Schools in Pagsanjan.The level of acceptability and mean performance was measured using mean and standard deviation while the significant difference in the mean performance was measured using t-test.
Interval-Valued Fuzzy Soft Subhemiring of Hemiring and it’s Application

In this paper, we initiated the idea of interval-valued fuzzy soft set (IVFSS) and a few results, Operations, definitions, and properties also a few properties and characteristics of IVFSSs and Prove some of theorem and we discuss a few examples uses of soft set in finding a selection taking problem.Also initiated the comparable measure of two IVFSSs and discuss with the Presentation of medical application problem.
Error Analysis: Types and Causes of EFL Learners’ Errors in Writing Analytical Exposition Text

Abstract. This research looked at errors made by the sophomores majoring in English Education of Tadulako University in writing analytical exposition text. It intends to (1) identify the kinds of errors committed by the students in writing the text, and (2) determine the causes of the errors. This is a-qualitative research, employing 20 students enrolled in Text Type Writing course in the Academic Year 2020. Results of the data analysis indicated that there were 421 cases of errors which were then classified into five major categories: orthographic errors, word forms and grammar (morpho-syntactic errors), errors on words and meanings (lexico-semantic), errors in punctuation and errors in capitalization. These errors are caused by influence of the students’ first language (L1) (interlingual errors), lack of target language knowledge (intralingual errors), and communication strategies. This paper addresses error analysis using Dulay’s 1982 Linguistic Category Taxonomy, which so far lack considerably in scientific literature. Previous studies have almost exclusively focused on using Surface Structure Taxonomy, another taxonomy is therefore needed for investigation. Keywords: Analytical Exposition Text, Error Analysis, Writing Skills
An Enhanced Dung Beetle Optimization Algorithm for Global Optimization

This paper proposes an enhanced dung beetle optimization (EDBO) algorithm in order to address the issues of the dung beetle optimization (DBO) algorithm which include easy convergence to the local optimal, slow convergence speed, and poor global search capability. The improvements in the EDBO are implemented via the following four aspects. Firstly, the SPM chaotic mapping designed through combing Sine mapping and Piece-Wise Linear Chaotic Mapping is introduced to initialize the population for increasing diversity of population. Secondly, the position update formula in the Golden Sine Algorithm (Golden-SA) is used to replace the formula for the mathematical model of dung beetle ball-rolling behavior without obstacle with the purpose of improving the convergence accuracy and accelerating the convergence speed. Thirdly, the spiral foraging strategy in the tuna swam optimization (TSO) is hybridized with the mathematical model of dung beetle breeding and foraging behavior. The hybridization not only balances the global exploration and local exploitation but also keeps the diversity of the population. Finally, the EDBO can enhance the capability of escaping the local optima and extending the search space by means of bringing in the two different sets of adaptive weight coefficients. The performance of the EDBO is evaluated and compared with other swarm intelligence optimization algorithms via the benchmark functions of different characteristics. The results demonstrate that the EDBO outperforms the classical DBO and other compared algorithms in terms of convergence speed and accuracy.
KOMMER (ATT) + INFINITIV КАО ПРОСПЕКТИВНА КОНСТРУКЦИЈА У САВРЕМЕНОМ ШВЕДСКОМ ЈЕЗИКУ

In this paper, we deal with construction kommer (att) + infinitive as one of the periphrastic means of expressing future predications in Modern Swedish. Aiming to investigate the construction’s modal meanings, we analyze nearly three hundred Swedish sentences with kommer (att) + infinitive as a future construction, focusing in particular on their basic syntactic-semantic features such as animacy of the subject and speaker’s involvement in, and control over a predication. Our initial investigation confirms that predictability stands out as a predominant modal meaning of kommer (att) + infinitive. Further investigation shows that there are cases in which kommer (att) + infinitive indicates speaker’s plans and intentions, and brings out intentionality as the main modal feature of a statement. We conclude our investigation with cases where modal meanings of kommer (att) + infinitive can be regarded as tending toward non-existent (“zero” modality). Considering that the descriptions in general reference works more often than not lead to a conclusion that expressing predictions is the only modal feature of kommer (att) + infinitive as a future construction in Modern Swedish, we point out that more comprehensive descriptions of the construction’s modal meanings should be offered in the future.
Tutorial on artificial neural network

It is undoubtful that artificial intelligence (AI) is being the trend of computer science and this trend is still ongoing in the far future even though technologies are being developed suddenly fast because computer science does not reach the limitation of approaching biological world yet. Machine learning (ML), which is a branch of AI, is a spearhead but not a key of AI because it sets first bricks to build up an infinitely long bridge from computer to human intelligence, but it is also vulnerable to environmental changes or input errors. There are three typical types of ML such as supervised learning, unsupervised learning, and reinforcement learning (RL) where RL, which is adapt progressively to environmental changes, can alleviate vulnerability of machine learning but only RL is not enough because the resilience of RL is based on iterative adjustment technique, not based on naturally inherent aspects like data mining approaches and moreover, mathematical fundamentals of RL lean forwards swing of stochastic process. Fortunately, artificial neural network, or neural network (NN) in short, can support all three types of ML including supervised learning, unsupervised learning, and RL where the implicitly regressive mechanism with high order through many layers under NN can improve the resilience of ML. Moreover, applications of NN are plentiful and multiform because three ML types are supported by NN; besides, NN training by backpropagation algorithm is simple and effective, especially for sample of data stream. Therefore, this study research is an introduction to NN with easily understandable explanations about mathematical aspects under NN as a beginning of stepping into deep learning which is based on multilayer NN. Deep learning, which is producing amazing results in the world of AI, is undoubtfully being both spearhead and key of ML with expectation that ML improved itself by deep learning will become both spearhead and key of AI, but this expectation is only for ML researchers because there are many AI subdomains are being invented and developed in such a way that we cannot understand exhaustedly. It is more important to recall that NN, which essentially simulates human neuron system, is appropriate to the philosophy of ML that constructs an infinitely long bridge from computer to human intelligence.
Pupils’ Reading Achievement and Innovative Reading Strategies: Basis for Enhanced Implementation of School Reading Program

Difficulties in developing reading skills in the early grades can lead to severe academic difficulties throughout pupils' schooling.Literacy is one of the strongest predictors of academic success.This study aimed to determine the pupil's reading achievement before and after the reading program implementation.A quasi-experimental using one group pre-test and post-test design was used.The results revealed that the pretest scores reflect that most pupils scores at least 70 in the level 3.This means that most of them have evaluative level.Similarly, 10 and 50 scores were tallied in the literal and inferential levels.Moving on in the posttest, the average scores of pupils have increased in the evaluative level posting the score of 100.It also increases in the literal (79 scores) and inferential (88 scores).There was a significant difference in the pre-test scores (M=43.33)and post-test scores (M=89.00) of the reading level of pupils (t-comp =10.66> t-critical =4.30).It was concluded that the average scores of the pupils increases in the three levels after the SHARP program was implemented.Majority of the pupils' scores belonged to evaluative level which requires the ability to the pupils to move beyond the text to consider what they think and believe in relation to the message in the text.The reading assessment scores of pupils in the pre-test and the scores after the implementation of the SHARP reading program is not the same as reflected in mean scores wherein post-test assessment has higher mean compared to the pre-test.Using the SHARP program as reading intervention is effective to improve the reading scores of the pupils.Furthermore, the teachers may sustain the program to further increase the assessment scores of the pupils.The school heads and teachers in every school may linkage for the budget to finance the reading materials and snacks for the beneficiaries.