Reviewerly/exHarmony huggingface dataset:
THE CORRELATION BETWEEN THE SELF-DIRECTED LEARNING AND READING COMPREHENSION AT UNIVERSITAS RIAU

This research aimed to find out the correlation between self- directed learning and reading comprehension of the fifth- semester students of the English department of FKIP Universitas Riau. The researchers used a descriptive quantitative method as the data approach. The samples of this research were 74 students from the fifth-semester students of the English department of FKIP Universitas Riau. The research instruments are a questionnaire and a test. The questionnaire is for the data on self-directed learning while the test is for the data on reading comprehension. To analyze the data, the researchers employed SPSS Statistics 25. The data analysis showed that the mean score of the student's self-directed learning is 215.18, classified as moderate level, while the mean score of the student's reading comprehension is 56.35, categorized as moderate level. Moreover, the research finding showed the correlation coefficient of the two variables is 0.694, indicating a positive and moderate correlation. Also, the determinant coefficient is 0.48 which implies self-directedlearning has a 48% influence on the students’ reading comprehension, leaving the other 52% to other factors. After finding that there is a moderate relationship between self- directed learning and reading comprehension, it is suggested that students should apply self-directed learning activities well, for it can result in better reading comprehension. This is mainly because self-directed learning gives them the freedom to choose their own reading materials and learning objectives.
THE EFFECTIVENESS OF USING GRAMMARLY ON HIGH SCHOOL STUDENTS' WRITING QUALITY

Grammarly has got a lot of attention among academics especially because it is a powerful tool that can be used by writers to improve their writing quality. They need it as a medium for correcting writing errors. This study aims to examine the effectiveness of using Grammarly on the students' writing quality of the eleventh-grade students at SMA Negeri 1 Ujung Batu. In particular, this study explores if there is any significant effect of Grammarly on students' writing quality in terms of grammatical accuracy, capitalization, spelling, and punctuation. This is quantitative research using the pre-experimental method. The subject consists of 30 students selected using a purposive sampling technique. The data were collected from a pre-test and a post-test of writing an explanation text written before and after being corrected using Grammarly. The hypothesis test was conducted using Wilcoxon Test. The result shows an alternative hypothesis which is the Asymp. Sig. is 0.00&lt;0.05. So, Grammarly has a significant effect on students' writing quality in eleventh grade at SMA Negeri 1 Ujung Batu. This study implies that Grammarly can be useful as a learning media as self-editing for students to improve their writing ability.
DEVELOPING SCIENTIFIC APPROACH-BASED E-MODULE ASSISTED BY KSOFT FLIPBOOK MAKER APPLICATION FOR THE TENTH-GRADE OF SENIOR HIGH SCHOOL STUDENTS

The limitations of the teaching materials, the absence of sample questions, individual assignments, and evaluations of narrative text materials are the issues covered in this study. This research aims to describe the needs of teachers and students for an electronic module (e-module) based on the scientific approach, to develop a prototype for an e-module based on the scientific approach, and to describe the experts’ validation of the e-module. This study employed R&amp;D using the 4D development model, which has four stages: define, design, develop, and disseminate. Three validators—two lecturers and one teacher—were used to evaluate the e- module. This research findings show as follows. Firstly, teachers and students need narrative text e-module teaching materials employing a scientific approach, secondly, the e- module narrative text prototype adheres to the scientific approach. Finally, the validation test on e-module narrative text for English learning is categorized as valid. These findings recommend that using the scientific approach-based e-module narrative text material that was developed with the help of the KSOFT flipbook maker is imperatively implemented in teaching a narrative text in the tenth grade of Senior High School.
Perbandingan Uji Akurasi Fuzzy Time Series Model Cheng Dan Lee Dalam Memprediksi Perkembangan Harga Cabai Rawit

Fuzzy Time Series is a method used to predict data. Fuzzy Time Series is a development of time series analysis, where Fuzzy Time Series uses the concept of fuzzy sets as the basis for its calculations. In addition, Fuzzy Time Series has various methods such as Cheng and Lee Fuzzy Time Series. In this study, Fuzzy Time Series is used to predict data on the price development of cayenne pepper in Indonesia. By using these two methods, an analysis of the level of accuracy is then carried out using several methods. So that the results obtained in this study are the MAE value of the Cheng method 669,162 and the Lee method 502,285, the MSE value of the Cheng method 1.261.393 and the Lee method 699.030.1, the MPE value of the Cheng method 0,01% and the Lee method -0,02%, and The MAPE value of the Cheng method is 1,24% and the Lee method is 0.92%. The Lee method has a smaller error value than the Cheng method, so that the Lee method is declared to be better than the Cheng method.
Membangun Super Enkripsi untuk Mengamankan Pesan

The issue of message security or an information is particularly important. A science that studies aboutsecuring the confidentiality of messages using passwords is called cryptography. To enhance security, twoalgorithmsarecombinedtosecuremessages.Superencryptionisaconceptthatusesacombinationoftwoormoresubstitutionandpermutation(transposition)cryptographytechniquestoobtainanalgorithmthatis more difficult to crack. The first thing to do is to encrypt the message using a substitution technique(Cipher Substitution), then re-encrypt it using a permutation technique (Cipher Transposition). In thisstudy, two cryptographic algorithms will be combined to build super encryption using the Vigenere Cipherand Bifid Cipher algorithms to secure messages. The message encryption process is using the VigenereCipher algorithm for the first encryption process, then continued using the Bifid Cipher algorithm for thesecondencryptionprocess.Theencryptionprocessisdonetheotherwayaround,startingfromthebackoftheencryptionprocess.Thecombinationofthesetwoalgorithmsresultsinmoresecuremessagesecurity.
THE IMPLEMENTATION OF BUILDING KNOWLEDGE OF HE FIELD (BKOF) IN TEACHING NARRATIVE TEXT

This research investigated the implementation of Building Knowledge of the Field (BKOF) in teaching narrative text. The purpose to conduct the research is to examine how does an English teacher implement BKOF in teaching narrative text. While this research uses qualitative applying descriptive study. In the research process, data collection was obtained from observation, document analysis, and interview. Thh result shows that there are four stages to implement Building Knowledge of the Field in teaching narrative text, include: First, the teacher gives stimulus to students, the stimulus given by the teacher is by giving examples of narrative texts and using questions; Second, the teacher guides students to mark vocabulary and sentence patterns which are linguistic elements of narrative text; Third, the teacher asks the students to reconstruct the narrative text which has vocabulary and sentence pattern errors; Fourth, the teacher evaluates the results of students' answers with the students.
THE USE OF NATURAL DISASTER NEWS TEXT IN MODELLING STAGE TO COMPOSE NEWS ITEM TEXT: AUTHENTIC MATERIAL IN THE SECOND STAGE OF GENRE-BASED APPROACH

In the online reading classroom, the learning activity is different from offline reading learning. It engages the internet and technology to read, comprehend, and learn new information. However, those skills perceive some barriers in the process of learning in students during online reading learning. This qualitative study examined the descriptions of the barriers in reading online learning in a college from students’ perspectives. This study was conducted in one of the private universities in West Java, Indonesia. The participants of this study were 7 college students and one reading lecturer. This study applied the interview and observation as the data collection. The finding of this study has resulted 5 barriers of online reading learning with some description for each barrier. Those barriers are; epistemological barriers, infrastructure barriers, attitudinal barriers, technical barriers, and financial barriers.
<b>Developing a Pan-European Open Science Training Landscape</b>

Abstract In an environment designed to increasingly enable Open Science, not all researchers and research supporting units have the required competences. Moreover, there is a lack of clear data professionals’ profiles and corresponding career paths, and a high degree of fragmentation in training resources. This article presents the Horizon Europe project “Skills4EOSC” and other selected initiatives that contribute to the goals of the European Open Science Cloud, and in particular to the creation of a harmonised training landscape. The transition to Open Science implies that researchers and research-supporting experts acquire new skills, which also requires new and additional forms of training. Together, and step by step, efforts add up to a common and trusted pan-European ecosystem.
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond

&lt;p&gt;In this paper, we highlight three issues that limit performance of machine learning on biomedical images, and tackle them through 3 case studies: 1) Interactive Machine Learning (IML): we show how IML can drastically improve exploration time and quality of direct volume rendering. 2) transfer learning: we show how transfer learning along with intelligent pre-processing can result in better Alzheimer's diagnosis using a much smaller training set 3) data imbalance: we show how our novel focal Tversky loss function can provide better segmentation results taking into account the imbalanced nature of segmentation datasets. The case studies are accompanied by in-depth analytical discussion of results with possible future directions.&lt;/p&gt;
Locality Guided Neural Networks for Explainable Artificial Intelligence

&lt;p&gt;In current deep network architectures, deeper layers in networks tend to contain hundreds of independent neurons which makes it hard for humans to understand how they interact with each other. By organizing the neurons by correlation, humans can observe how clusters of neighbouring neurons interact with each other. In this paper, we propose a novel algorithm for back propagation, called Locality Guided Neural Network(LGNN) for training networks that preserves locality between neighbouring neurons within each layer of a deep network. Heavily motivated by Self-Organizing Map (SOM), the goal is to enforce a local topology on each layer of a deep network such that neighbouring neurons are highly correlated with each other. This method contributes to the domain of Explainable Artificial Intelligence (XAI), which aims to alleviate the black-box nature of current AI methods and make them understandable by humans. Our method aims to achieve XAI in deep learning without changing the structure of current models nor requiring any post processing. This paper focuses on Convolutional Neural Networks (CNNs), but can theoretically be applied to any type of deep learning architecture. In our experiments, we train various VGG and Wide ResNet (WRN) networks for image classification on CIFAR100. In depth analyses presenting both qualitative and quantitative results demonstrate that our method is capable of enforcing a topology on each layer while achieving a small increase in classification accuracy&lt;/p&gt;
Exploring Effective Knowledge Management Strategies for Achieving Organizational Success

Successful knowledge management methods are the focus of this research. This research analyzes the efficacy of various knowledge management strategies and the variables that affect their success. The results show that knowledge management practices succeed when they have strong leadership backing, employee buy-in, an attitude of sharing information, a solid technological foundation, and an open and collaborative organizational culture. The research shows that better employee engagement, productivity, innovation, customer satisfaction, and financial outcomes can be achieved by fostering a culture of knowledge sharing, ensuring the backing of leadership, promoting employee participation, and capitalizing on technological infrastructure. Organizations that want to succeed in the long run should look to this research for guidance on how to enhance their knowledge management practices.
Agripreneurship and Poverty Reduction

Purpose: The purpose of the study is to investigate how entrepreneurship in the agriculture sector could help alleviate poverty in the Tubah region of Cameroon. Specifically, the study seeks to explore the potential of agripreneurship in creating job opportunities, increasing income levels, and improving the living standards of people in the region. Methods: Mixed-method design was employed for the study. Data was gathered with the help of a structured questionnaire from 384 households in Tubah-Cameroon and analyzed using the partial least square. Results: Results revealed that attitudes towards agripreneurship, innovative behavior, and the need for achievement had a positive effect on poverty reduction in Tubah Sub-Division. Inheritance of family ventures and start-up motives were found to exert negative effect on poverty reduction. Implications: The study is expected to contribute to the understanding of how entrepreneurship in the agriculture sector can be leveraged to promote economic opportunities and promote sustainable development in rural areas.
Improving Student Recent Writing Skills Using the Project Based Learning (PJBL) Model For Class XI MIPA 3 SMA Negeri 6 Madiun

This study aims to solve problems regarding students' low writing skills. Through the Project Based Learning learning model, it is hoped that it will be able to improve students' writing skills, especially in the Indonesian subject of review text material. This research is included in the type of Class Action Research (CAR) using the model from Kemmis and Mc. Taggart. The subjects of this study were 35 students of class XI MIPA 3 of SMA Negeri 6 Madiun. The approach in this study uses a qualitative description. Meanwhile, data collection techniques were carried out using test and non-test instruments in the form of observation sheets. Analysis of the data for each cycle showed that in cycle 1 student completeness only reached 11.42% (not yet achieved) then in cycle 2 it increased to 85.71% (has been achieved). In addition, the non-test results showed that the effectiveness of using the Project Based Learning learning model in cycle 1 was 27.5% (poor) and increased in cycle 2 to 90% (very good).
SMART VOTING SYSTEM THROUGH FACE RECOGNITION USING FACENET ALGORITHM

A smart voting system using face recognition is a technique to overcome the traditional voting and EVM i.e Electronic Voting Machines.The system uses an Androidbased application to cast their votes from anywhere in the world.The face recognition technology increase the accuracy and security of the voting process.The proposed system would work as follows: voters should install the Android-based voting software and register themselves with their personal details and facial images.On the day of the election, voters should log in to the Android-based voting software and use their registered facial images for verification.Once verified, the voter can cast his vote.The proposed system uses facial recognition technology to reduce the fraud votes.The system also eliminates the manual verification of voters, it decreases the risk of human error and increasing the speed of the voting process.
Implementation of mobile learning strategies and their effect on English Language Teaching (ELT)

Introduction: Mobile learning strategies are related to remote learning because they motivate learners to use technological devices such as computers, tablets or smartphones for academic purposes. As a result, greater indexes of compromise, learning, and development of communicative competencies in a foreign language are generated. Objective: This study explores how to boost the level of English proficiency among professors by implementing m-learning strategies as a response to the university’s foreign language policy. Methodology: The study was based on action research with data collection instruments such as an entry test, forums, perception surveys, and students’ learning products. Results and discussion: m-learning strategies were used to foster the attainment of academic goals by participants and to enrich their professional growth as teachers and students. Furthermore, they were prompted to update and incorporate technological resources while the didactic teaching process. Conclusions: participants developed a metacognitive process when using m-learning strategies so that they could make autonomous learning decisions and enhance their pedagogical practice.
Detection of Fake Currency using Machine Learning

Abstract: The problem of detecting fake currency notes is crucial for maintaining the integrity of the economy. In recent years, there has been a surge in the use of deep learning models for detecting counterfeit currency using image processing. For Human being it is very difficult to identify fake currencies, So automatic systems for detection of fake currency is important. In this project, we propose a Convolutional Neural Network (CNN) model for detecting fake currency notes. To train our model, we use a dataset of images containing both genuine and fake currency notes of different denominations. The dataset is preprocessed by resizing all images to a fixed size and normalizing the pixel values. The pre-processed images are then split into training and validation sets for training and testing the model, respectively. This project is modelled as a CNN for automatic feature extraction and classification. The Experimental results validate that the proposed model effectively recognises a real and counterfeit currencies of various denominations with the confidence score.
The Use of Edtech Apps in English Language Learning: EFL Learners’ Perspectives

The emergence of Edtech apps has contributed to the quality of education in general and English language teaching and learning in specific. With the help of Edtech Apps, learners can experience the real world easily and be motivated in learning. Nevertheless, the proliferation of Edtech Apps varies from one context to another. This mixed methods study aims at exploring the utilisation of Edtech apps in English language learning (ELL) from the learners’ perspectives. A group of 122 English as a foreign language (EFL) students from a high school in Vietnam partook in answering the closed-ended questionnaire and fifteen of them taking part in the semi-structured interview. Two types of data, namely quantitative and qualitative data, were generated. The former was processed using the SPSS software, while the latter was analysed thematically. The findings unravelled that EFL students had positive attitudes towards the deployment of Edtech Apps in ELL, and they believed that Edtech Apps in ELL were useful, easy for use, and motivating. The study also highlights some pedagogical implications to leverage the quality of English language teaching and learning.
Mobile-Assisted Language Learning Intervention and Its Effect on English Language Proficiency of EFL Learners: A Meta-Analysis

Some researchers have investigated the impact of mobile language learning on English proficiency for EFL learners. Mobile language learning has a positive effect on English skills in EFL students. However, the effectiveness of language learning with mobile assistance to enhance the success of EFL students remains to be discussed. Furthermore, it is not known if the effects of mobile-assisted language learning vary based on context. The purpose of this study was to conduct a meta-analysis of the findings of experimental studies assessing the impact of mobile-assisted language learning on the English language proficiency of EFL learners between 2015 and 2021. Experimental studies on mobile-assisted language learning and EFL learner English proficiency were analyzed using meta-analysis. The study found that the model of the random effects was utilized, and the effect size was determined to be substantial (d = 0.91). The meta-analysis calculated 25 effect sizes of type- d for the 25 studies. The analysis of moderator variables examined five different characteristics whose effects differed significantly only concerning majors, language learning objectives, and instrument type.
Analysis of android-based interactive multimedia needs analysis in learning biology in high school

Education in the 21st century cannot be separated from technology-based learning. The existence of technology provides many conveniences in learning and has many choices depending on the needs of students, one of which is Android-based interactive multimedia. The purpose of this study was to analyze the needs of high school students before developing Android-based interactive multimedia in biology learning. This research is a qualitative descriptive study. The instrument used was a student response questionnaire. Questionnaires were given to 72 students at SMAN 1 Kayan Hilir. The data obtained were analyzed using a qualitative descriptive analysis technique. The results of this study indicate that 76% of students stated that mushroom material was considered the most difficult material, 93% of students want the development of new and fun learning multimedia and 87% of students want learning to use interactive multimedia based on Android. The conclusion from this study is that it is necessary to develop interactive learning multimedia based on android on mushrooms for class X SMA.
Insertion Function in Code-Mixing Use on WhatsApp Group Chats Among University Students

Code-mixing is viewed as using two or more languages in daily interaction. Code-mixing is highly intriguing to investigate as it has become an unquestionable option for particular speech communities worldwide. However, an analysis of insertion in code-mixing phenomenon on WhatsApp Group Chat of university students has not been supported by current empirical studies. The evidence indicates that the insertion of code-mixing usage is a great tactic to show the speaker's communication strategy, intimacy, and limited linguistic competence. This study aimed to analyze the types, functions, and values of insertion in code-mixing use on WhatsApp Group Chat among university students. This study used the descriptive-qualitative method. Twenty-two students of two WhatsApp Group Chats were chosen as respondents in this study. Moreover, the researchers used documentation, interviews, and field observations to obtain data from respondents. The findings demonstrate that insertion functions in code-mixing use on WhatsApp Group Chats are solidarity, intimacy, interjection, a limited vocabulary, clarification, and group identity expressions.