Reviewerly/exHarmony huggingface dataset:
Effect of Vocabulary Instruction Integrated with Writing Exercises on Word Learning, Retention, and Awareness

This study aimed to determine the effect of vocabulary instruction integrated with writing exercises on vocabulary learning, retention, and awareness. The research was designed according to the sequential explanatory mixed-method design, in which quantitative and qualitative methods were used together. A quasi-experimental model with a pretest-posttest control group was used in the quantitative phase. The study group of the quantitative stage consisted of 76 seventh-grade students in two experimental and one control group. The target words were taught according to the vocabulary instruction integrated with writing exercise in group A, enriched vocabulary instruction in group B, and traditional vocabulary instruction in the control group. In the qualitative phase, the participants were interviewed to determine to what extent they had learned the target words in terms of meaning and use. For this, three students from each group were selected and these students were interviewed about specific target words during the intervention. In addition, at the end of the intervention, the opinions of the students and their teacher in group A were elicited. Quantitative and qualitative findings revealed that vocabulary instruction integrated with writing exercises contributed to students’ better learning of target words, the permanence of their learning, and the development of word awareness.
The Effect of Home Economics Instruction Applying Flipped and Problem-Based Learning on Middle-School Students’ Metacognition Skill

The purpose of this study is to identify the effect of Home Economics Instruction applying Flipped and Problem-Based Learning (FPBL) on Korean middle-school students’ metacognition skill. The study uses a prepost design test of the same group. There were 151 participants (77 male and 74 female) who were middleschool students in the third grade. Two hours of classes on ‘Food Selection and Storage’ were given per week for three weeks – a total of six hours. Analysis using the &lt;i&gt;t&lt;/i&gt;-test revealed a statistically significant difference between the pre-test and the post-test, supporting the conclusion that participating in the class improved the metacognition, food selection, and storage behavior scores of the middle-school students. All area scores and overall averages of metacognitive sub-elements such as planning, monitoring, regulation, and evaluation also improved after taking FPBL classes. From the results of this study, Home Economics Instruction applying FPBL is an effective teaching method for improving middle-school students’ metacognition.
Investigating The Reading Strategy Used among Primary ESL Learners

Language learning strategies (LLS)" is shown in studies to aid its process of learning English among the learners of "English as a second language (ESL)".Nonetheless, a troubling number of students continue to struggle as ESL learners, even in urban areas.As a result, the goal of this preliminary study is about determination and investigation of the reading strategies that are used by "above average and below average learners" in primary school.The study included 70 year 5 pupils to an urban and national-type school in Johor, Malaysia.The "Young Learners' Language Strategy" uses Survey, which was adapted from "Cohen and Oxford's", was used to gather the data.The data gained was then analysed with descriptive analysis such as frequency, percentage, and mean.The findings revealed that above average students had a higher possibility than below average students to use reading strategies.Fascinatingly, the findings also indicated that above average language learners make an effort to utilise effective strategies far more often, and below average language learners tended to be using compensation strategies the most regularly.The findings have noteworthy implications for LLS research for both above average and below average ESL learners, as well as classroom instruction by teachers.Understanding learner differences and identifying which LLS both above average and below average learners used more often and less often would assist teachers to personalise their teachings according to learners' requirements to support them in becoming better learners.Future research may use the think-aloud protocol to investigate the factors to promote or inhibit this using of LLS by students in "language learning process" to better understand the factors that lead to variances in the use of LLS among learners of above average and below average.
Machine Learning Based Approach for Evaluating Agile Based Methods to Enhance Software Quality

Developing a quality software product is an essential need of the software industry. Software quality comprises of various factors. Therefore, it cannot be measured on the basis of a single variable. Several agile software development methods have evolved all around the world with the passage of time that contribute towards the development of new and improved software methods. The agile processes have started invading the software development industry to provide good quality software in minimal time. As the changes have occurred in the modern day evaluation metrics, the changes have been observed in the agile oriented quality evaluation methods as well. This paper presents a machine learning based approach for evaluating agile based methods for enhancing software quality. This advanced mechanism of processing the data attributes is inspired by SWARA and FDD. The validation and evaluation has been done using statistical and the quantitative parameters.
Bitcoin Price Prediction using Machine Learning and Technical Indicators

With the rise of Blockchain technology, the cryptocurrency market has been gaining significant interest. In particular, the number of cryptocurrency traders and the market capitalization have grown tremendously. However, predicting cryptocurrency price is very challenging and difficult due to the high price volatility. In this paper, we propose a classification machine learning approach in order to predict the direction of the market (i.e., if the market is going up or down). We identify key features such as Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) to feed the machine learning model. We illustrate our approach through the analysis of Bitcoin close price. We evaluate the proposed approach via different simulations. Particularly, we provide a backtesting strategy. The evaluation results show that the proposed machine learning approach provides buy and sell signals with more than 86% accuracy.
Blockchain Based Payment Method for Secure Transactions

Abstract: Blockchain is a type of distributed ledger that sits on the internet for recording transaction and maintaining a permanent and verifiable record-set of information. Token was created to reduce the government's control over cross-border transactions and to speed up the transaction process by removing the need for third-party intermediaries, Blockchain, on the other hand, provides a secure environment that token needs for peer-to-peer transactions. In other words, blockchain acts as bitcoin's ledger and maintains all the transactions of token. Token has a high degree of anonymity. Though the transactions are visible, it is close to impossible to identify the user. It is the purely peer-to-peer version of electronic cash would allow online payments to be sent directly from one party to another without going through a financial institution. Digital signatures provide part of the solution, but the main benefits are lost if a trusted third party is still required to prevent double spending or high security. We propose a solution to the double-spending problem
A SYSTEMATIC REVIEW OF ATTENDANCE SYSTEMS BASED ON FACE RECOGNITION

In this digital era, face recognition system plays a vital role in almost every sector. Face recognition is one of the most implemented biometrics across various different fields. Classroom attendance check is a contributing factor to student participation and the final success in the courses. Every institute follows their own way for taking attendance.Some are taking attendance manually using papers or a register file or different biometric techniques. Taking attendance by calling out names or passing around an attendance sheet is time-consuming, and the latter is open to easy fraud.In this paper, the comparative analysis of various existing approaches on attendance management system based on facial recognition that are used to monitor attendance in various institutions using Fingerprint,GPS,RFID etc.is discussed with their limitations.
MapReduce Framework to Improve the Efficiency of Large Scale Item Sets in IoT Using Parallel Mining of Representative Patterns in Big Data

With the coming of the time of huge information, individuals can gather rich and various information from a wide assortment of assortment gadgets, like those of the Internet of Things. Information concealed in enormous information is extremely helpful and important. Frequent pattern mining, as a basic method of data mining, is applied to every aspect of society. However, the application of traditional frequent pattern mining methods to big data involves bottlenecks due to the large number of result sets. Such bottlenecks make it challenging to deliver commonsense worth underway and life. We proposed a new approach which involved representative patterns using mining technique. This framework can make the runtime difficult to evaluate in large data environments. Our approach gives best solution for the above gaps with the help of online representative pattern-set parallel-mining algorithm. We used MapReduce framework which performs horizontal segmentation over data bases. Finally, several performance optimization strategies are proposed. As shown by numerous experiments on the actual dataset, the algorithm proposed in this paper improves the time efficiency by one order of magnitude. Several optimization strategies reduce the execution time to varying degrees.
Analysis of Information Technology Governance Using COBIT 2019 Framework (Case study: PT. Bangkit Anugerah Bersama)

PT. Bangkit Anugerah Bersama is a pharmaceutical company that focuses on distributing medical devices to various pharmacies in major cities in Indonesia, in carrying out its business processes PT Bangkit Anugerah Bersama has implemented information technology and continues to grow to create innovations. innovation in utilizing technology, in this case, it is necessary to design IT governance at PT Bangkit Anugerah Bersama, so this research was made which aims to design IT governance using COBIT 2019 so that business processes and IT implementation can run in harmony. The method used in this research is descriptive by conducting interviews with IT staff at PT Bangkit Anugerah Bersama. The analysis of the design of information technology governance in this study uses a design toolkit that includes 10 design factors from COBIT 2019. Based on the research conducted, it produces a design of information technology governance with a total of 4 domains that are important for the company, this is taken from sub-sections that have value ≥ 50 of them are BAI06, BAI03, BAI11 and BAI02.
Innovative Practice and Management Extracurricular Education System: Distance Technologies in Non-Formal Project-Based Learning

The paper describes the innovative system of the extracurricular project-based education program of high school students, combined with the national contest of research projects carried out in the learning process. This system is developed and managed in the format of a Society-State-Private partnership as an attempt to adapt education to post-industrial development.The organization of extracurricular education in the form of a public-state partnership facilitates long-distance interactions between the individual students and student teams, and the groups of researchers and experts. Such interactions enable the peer-to-peer methods in education; the high school students learn the integrated STEM approaches to project implementation (PI). At the same time, utilization of the hybrid education methods preserves the emotional atmosphere of scientific cooperation during PI.The extracurricular project-based learning used in our system allows students to adjust quicjly the acquired skills to dynamic changes in technology and management over the transition to post-industrial development.Utilization of Information and Communication Technologies (ICT) meets the goals of operative adaptation of the subject matter and education methods to the evolving realities of post-industrial societies, and preserves the integrity and synchronicity of education process within the spatially distributed structures of our extracurricular learning system.ICT utilization within our system of the extracurricular program combines the project-based learning with the organization of the national contest of students’ projects and facilitates cross-disciplinary approach to PI that motivates the students towards sustainability goals attainment.
Improving IT Team Motivation in Using IT Helpdesk

Information Technology and Information Systems are important in supporting operations in a company. The organization's ability to manage IT affects the quality of its information technology services, especially in the use of the IT Helpdesk. The IT Helpdesk acts as a good service provider for request fulfillment and problem management in the company and aims for the IT support team to monitor the status of work on problems faced by users and can analyze lead times from the emergence of these problems to their completion. The IT Helpdesk in a company engaged in the garment and textile industry has not been used optimally, for example, e-ticketing has not reached the target time specified in the Standard Operating Procedures (SOP) at the company due to a lack of enthusiasm and lack of motivation by the IT team towards the use of IT Helpdesk. Therefore, the researchers designed a prototype of the application of gamification with the Mechanics-Dynamics-Aesthetics (MDA) framework at the IT Helpdesk as a strategy used to increase the motivation and enthusiasm of the IT team that is useful for improving the performance of each IT team.
It’s Not Enough to Speak, But to Speak True: Revisiting the Whistleblower Protection Law in Malaysia

This research analyses the gaps and weaknesses in the existing legislative framework for whistleblower protection in Malaysia. The study found two main issues in the Malaysian Whistleblower Protection Act 2010 dealing with the disclosure of wrongdoings. They are the limited disclosure channel and an act of disclosure of information is an offence under other legislation. The protection for whistleblowers becomes vulnerable with the current restraints. Whistleblowing has significantly become one of the critical requirements in society as a medium to curb corruption. By analysing the weaknesses of this Act, the research contributes to the body of knowledge and plays a critical role in proposing to the policymakers for advocating some enhancement in the future for the sake of a whistleblower’s safety. The research adopts doctrinal and qualitative methodology. A content analysis through analytical legal approach is employed by examining the Malaysian existing law. A brief reference analysis is conducted on the United Kingdom Public Interest Disclosure Act 2010 and the Employment Act 1996. Thus, salient improvements of law provisions are recommended to better regulate the existing laws in Malaysia. The findings demonstrate the need for practical strength of amendments to protect the whistleblower due to unpredictable consequences. To date, potential whistleblowers are discouraged from disclosing information if the system is incapable of protecting them from fearing a backlash against them. The proposals suggested changes to the legislation to provide a good practice of guidance in handling concerns of wrongdoings.
Implementation of Web Service Fingerprint Attendance Machine on Employee Attendance Information System

The OKI District Population and Civil Registration Service have implemented the employee attendance information system by utilizing a fingerprint machine. This system is quite helpful in recording employee attendance properly. However, several obstacles are found in the implementation of the system. Namely, calculating the attendance percentage is still done manually because the data must be further processed using additional applications. Based on these obstacles, this study aims to implement web service technology using the protocol SOAP to integrate the system currently used. The system will automatically download fingerprint machine data and process it into attendance percentage reports, so that it can be more optimal and increase efficiency. The data obtained will be used by the staffing department, including one of the factors for measuring employee performance and determining Additional Employee Income (TPP).
Influence of Environmental Analysis and Financial Sustainability of NGOs in Kenya

Purpose: Environmental analysis is a useful tool in strategic planning. It is a method for identifying all external and internal factors that can influence an organization’s performance. The analysis comprises determining the amount of threat or opportunity presented by the factors. These assessments are then used in the decision-making process. The analysis aids in the alignment of strategies with the firm’s environment. The purpose of this study is to establish influence of environmental analysis and financial sustainability of NGOs in Kenya.&#x0D; Methodology: A desktop literature review was used for this purpose. Relevant seminal references and journal articles for the study were identified using Google Scholar. The inclusion criteria entailed papers that were not over 10 years old.&#x0D; Findings: The study concluded that environmental analysis is a useful tool in strategic planning. This is because it is useful in identifying all external and internal factors that can influence an organization’s performance. The analysis comprises determining the amount of threat or opportunity presented by the factors. These assessments are then used in the decision-making process. The analysis aids in the alignment of strategies with the firm’s environment. The study also concluded that, external factors had significant positive and negative effects on performance.&#x0D; Unique Contribution to Theory, Practice and Policy: The study recommended that the government should embrace environmental analysis as it is a useful tool in strategic planning. The government should also establish a favorable business environment for rural SMEs by providing entrepreneurship training and company incubation programs. The findings help define the future of small business reengineering in rural areas by providing information on environmental analysis strategy and innovation management theory. The study recommends that the strategic leaders should do environmental analysis as it will bring an upper hand to the NGO hence be able to assess the threats and opportunity present. The organization can then act on the opportunity at hand and prepare to mitigate the threats present, resulting to financial sustainability of the NGO.
Implementation of Fuzzy C-Means and Topsis in College Rankings

Prior to now, the ranking of higher education institutions, particularly those at the Regional II Palembang Higher Education Service Institution, was based on one component of the work unit's criteria. This makes the university ranking results superior on one criterion but inferior on another. The number of instructors and the number of students at 100 universities in the South Sumatra region were split into two groups based on the outcome of the fuzzy c means algorithm grouping and regional criteria and calculated based on the resulting mean value. The grouping results using a topsis algorithm decision-making system with a weight determined by the number of lecturers with functional positions, college accreditation, number of certified lecturers, and percentage level of higher education database reports are used as a reference to rank universities. Based on the mean value of the fuzzy c means algorithm and the grouping results, seven colleges were chosen. Using the topsis method's way of making decisions, the final score for the highest-ranked college is 0.850.
Pelatihan Kompetensi Mengetik Cepat dengan Penerapan Typing Master di SMK Negeri 9 Bandar Lampung

Fast 10 Finger Typing is a blind typing method which means we only value what we are going to type and use our instincts without looking at the keyboard. This technique is used to optimize the function of the fingers and the eyes do not get tired easily because they focus on the typed writing. This technique has an arrangement of placing the fingers so that all fingers can function in typing. This 10 finger typing exercise will apply a fast typing method, namely by using the typing master method.This service activity aims to help users to be able to type quickly. The typing master method, also known as training, is a good way of teaching to instill certain habits. Also as a means to maintain good habits. In addition, this method is also good for obtaining dexterity, accuracy, opportunity and skills. The typing master method in the current era is very helpful in the typing skills needed by a secretary or administrative employee, in the business or office world, such as hospitality, travel, limited liability companies. , Firms and government agencies such as education.Fast typing competition training with the application of typing master for students of SMKN 9 Bandar Lampung, to be able to further improve their mastery and skills in fast typing.
Design and Build of Road Damage Information System in Madiun Regency Using Web Development Life Cycle Methods

Government infrastructure development is growing rapidly, starting from the central and provincial levels. One of the infrastructures currently being pushed by the government is road infrastructure. Both toll roads, regional roads, and district/city roads. Road infrastructure that has been built requires maintenance and repair. Road damage maintenance and repair in urban districts, especially Madiun Regency, Existing Road damage data is still recorded manually using paper, where the government needs help knowing data on road damage that has been recorded, which road conditions have not been repaired, and which have been fixed immediately. Because manual data is prone to wear and loss, tucked in with other manual files. So, the road improvement priority in Madiun Regency still needs to be put on target. For this reason, an information system is required to record the damage to road infrastructure in Madiun Regency. This information system was built using the web development life cycle (WDLC) method. We chose this method because it can be used in all web application development processes and can be modified or added to prototyping and looping to maximize results. The information system for road damage in Madiun Regency was developed using the PHP &amp; MySQL programming languages. The result of this study is a road damage information system that contains updated data on road damage conditions in the Madiun district. Apart from being paperless, digitized data has the advantage of minimal damage and expected data loss and can help decision-makers prioritize repairs by looking at the data in the road damage information system.