Reviewerly/exHarmony huggingface dataset:
Big data analytics performance from employee point of view

This study aimed to determine the influence of recruitment and selection on employee performance, particularly in the Big Data Analytics division. Human resources are a crucial asset for a company to achieve success, and employees must perform at a high level according to the company’s targets or quality standards. The study used descriptive quantitative methods, with a population of all employees in the Big Data Analytics division, consisting of 35 employees, using the probability sampling technique. Data collection techniques included field studies and literature studies, and data analysis was carried out using path analysis, hypothesis testing, and coefficient of determination. The results showed that the Recruitment variable (X1) had no significant effect on Employee Performance (Y), while the Selection variable (X2) had a significant effect on Employee Performance (Y). Recruitment and Selection variables had a significant effect, with Recruitment having a direct effect on Performance of 70% and an indirect effect of 12.9%.
Development of refund module for student's financial information system based on model-view-control approach

This paper presents the design of a refund module for the Student's Financial Information System (SFIS) using Model- View-Control (MVC) approach for system development. The design of the refund module is based on the use of a class diagram, use case diagram, and User-Interface (UI) diagram. The class diagram and UI diagram are modelled using the MVC approach, which separates between model, view, and controller objects. The user interfaces are effectively visualized by using storyboards. The system verification is improved with quality assurance whilst the system validation is perfected via User Acceptance Test (UAT) and Final Acceptance Test (FAT).
Artificial Intelligence and Multimedia Facilities in School Libraries: Possibilities for the Future

This paper discusses the role of latest technologies in present day school libraries,possibilities for the future and how to show the application of Artificial Intelligence along withef ective use of the latest multimedia facilities.
Challenges Faced by the Sri Lankan School Libraries in the Period of Covid and the Current Economic Crisis: Special Reference to the Western Province School Libraries

Sri Lanka is an island which has a school going population of 4.2 million students and23592 teachers, distributed among10155 schools throughout the nation. The main objective of thisstudy was to explore how the Sri Lankan school libraries, especially those in the western province,managed the challenges faced during the Covid phase and also during the years 2020-2022, owingto the prevailing economic crisis. By the year 2022 Sri Lanka was facing a severe economic crisisas a result of the depletion of the country's foreign reserves, which resulted in the shortages of food,fuel, medication, cement, and other essential items. The school libraries too faced manychallenging issues due to the economic crisis, with regard to the purchasing of books and readingmaterials and the training of staf . Therefore, a program was organized for a group of students inthe Western Province so as to encourage them to read and develop their skills in creative writingand critical thinking.
Cooperation and Partnership of School and Public Libraries: The Way to a Better Future for Everyone

The aim of this paper is to present a series of joint activities of the elementary school andpublic library. This cooperation allows students new ways of acquiring knowledge and skills, sincein this form a correlation is created between librarians and students, as well as between librarians.This creates better communication and motivation among all participants, and the youngest andyoung users benefit the most. Multi-year cooperation is successfully implemented through variousprograms.
STRATEGI KETIDAKSANTUNAN BAHASA DALAM KALANGAN KOMUNITAS FACEBOOK DI MALAYSIA

This study focuses on the impoliteness strategies used in interactions among Facebook users in Malaysia. It is also scrutinized the perception of Malaysian netizens regarding the impoliteness strategies used in social media interactions. A mix of the qualitative descriptive and quantitative methods was employed. An approach of a qualitative descriptive is to comprised social interactions in the selected Facebook pages that contained the construction of impoliteness strategies. A total of 288 comments from netizens were selected, examined, and analyzed using the Impoliteness Strategies (Culpeper, 2011). The findings showed that there are various patterns of impoliteness strategies used, such as bald on record impoliteness, sarcasm, and inappropriate address forms. Whereas a quantitative approach involved a questionnaire that intended to determine the perception of netizens regarding the use of impoliteness strategies and factors that instigate the use of these strategies in social media interactions. Respondents consisted of 100 students aged between 18 to 35 years, randomly selected from public universities in Malaysia. The analysis of the questionnaires has shown that most respondents accept negatively the use of impoliteness strategies in social media interactions. Essentially the results of the questionnaire were inconsistent with the practicalities of the interaction on Facebook, which clearly demonstrated the widely used impoliteness strategy.
Penelitian Pelayanan Perpustakaan Era Kenormalan Baru Pada Data Base Google Scholar

The Covid-19 outbreak in Indonesia has changed library services into a new era of normality. This research aims to find out, (1) types of library information sources, (2) library services and (3) the role of librarians in the new normal era. This research uses the narrative literature review method so that it is expected to obtain a theoretical basis that can support in solving the problem being studied. The number of scientific articles analyzed was 12 pieces from the Google Scholar database for the period 2020 – 2022. Researchers use the Google Scholar database because it has advantages including the availability of various scientific articles that are easily accessible, efficient in the use of cost and time. The results and discussion show that library services in the new normal era are based on the internet and information technology. The library collection consists of repackaging information in digital format, developing open library collections and e-journals. Library services consist of librarian delivery services, social media-based library services, online reference services and digital libraries. It is concluded that the role of library libararians in the new normal era is very important and education and training are needed in order to have competence in the field of internet and information technology which plays a very important role in library services in the new normal era.
THE SOCIAL FACTOR OF SECOND LANGUAGE ACQUISITION ON ADULT LEARNER

&lt;span lang="IN"&gt;Second language learning for adults is an activity to help adults in acquiring a second language is done consciously. The learning process for an adult second language is unfounded educator considerations but based on interests learners. E&lt;/span&gt;&lt;span&gt;d&lt;/span&gt;&lt;span lang="IN"&gt;ucational implications for practical adults is a necessary understanding of characteristics of adult education, principles, methods, and learning techniques second language for people mature. The purpose of this study is to find out the social factor in the classroom influence second language acquisition in adult learners. The researcher found there are classroom situations, namely: Teachers' strategy, students’ personality include (Motivation,&lt;/span&gt;&lt;span lang="IN"&gt; &lt;/span&gt;&lt;span lang="IN"&gt;introversion/&lt;/span&gt;&lt;span lang="IN"&gt; &lt;/span&gt;&lt;span lang="IN"&gt;extroversion, self-esteem, inhibition, risk-taking, anxiety), and &lt;/span&gt;&lt;span&gt;l&lt;/span&gt;&lt;span lang="IN"&gt;earning the English language as a part of a group.&lt;/span&gt;
Pelatihan Menulis bagi Peserta Ekstrakurikuler Jurnalistik SMA Negeri 5 Madiun

The purpose of this community service is to provide experience as well as the ability to write, especially prose fiction, for students of SMA Negeri 5 Madiun. Specifically, students who take part in this community service activity are participants in journalism extracurricular activities. Journalistic extracurricular activities at SMA Negeri 5 are called Student Literacy Studios or Sangrila. This community service produces outcomes in the form of increasing students' ability to make prose fiction frameworks.
Day-to-Night Image Translation with Local Controllable Vehicle Light Effect for Data Synthesis in Autonomous Driving

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;In the field of autonomous driving, in order to guarantee - robust perception performance at night and to reduce cost of data collection and annotation, there are many day-to-night image translation methods based on Generative Adversarial Networks (GAN) to generate realistic synthetic data. The vehicle light effect is of great significance to the perception task (such as vehicle detection) in the night scene. However, no research has ever focused on the problem of the vehicle light effect in day-to-night image translation. Therefore, we propose an end-to-end day-to-night image translation system based on the local controllable vehicle light effect, which mainly consists of two modules. Module A adopts YOLOv7 for 2.5D vehicle detection and traditional image processing algorithms to obtain the semantic mask of vehicle head/tail lights. Module B adopts a GAN for day-to-night image transformation with the local controllable vehicle light effect. In module B, we propose a Two-Stream UHRNET (TSUH) generator that uses a day image from the source domain, a night image from the target domain and the corresponding vehicle lights semantic mask from module A to generate a photorealistic night image with the same content as the day image and similar style as the night image, and the light effect in the specified vehicle light region in the image. When training our GAN model, considering the large difference in the distribution of vehicle sizes in the image dataset, in order to generate natural and realistic vehicle and light effects in the generated night image, we proposed a vehicle patch loss based on vehicle detection bounding boxes in order to generate natural and realistic vehicle and light effects in the generated night image. The experimental results show that our system can achieve global day-to-night image transformation while performing local vehicle light effect control.&lt;/div&gt;&lt;/div&gt;
All Together We Can Read: A Programme Promoting Inclusion in Portuguese School Libraries

Inclusion is highlighted by several international organisations as a priority to be takeninto account in each country's educational policies. Portugal has been following these guidelinesand commitments, publishing legislation with a comprehensive approach to the concept of‘inclusion’ and monitoring its implementation in educational communities. School libraries, asstructures of the Ministry of Education, integrate, in their action plans, reading promotion projectsaimed at specific audiences. The main aim is the integration of all students, creating conditions forthem to fully enjoy the benefits of reading. In this article, we present the results of the project "AllTogether We Can Read", implemented in 62 schools over the last five years. Although there areareas for improvement, the evaluation reports point to a strong impact of the project in improvingstudent learning and af irming the school library as a structure for pedagogical innovation andknowledge induction.
COMPARATIVE STUDY: RHETORICAL MOVES OF RESEARCH ARTICLE ABSTRACTS WRITTEN BY AMERICAN AND INDONESIAN AUTHORS

Research in Research Article (RA) abstract written by native English authors has been widely conducted. Yet, a comparison of RA abstracts written by American authors and Indonesian authors has not been conducted. This paper reports a study on the analysis of research article abstracts written by American and Indonesian authors published in two reputable journals. Data presented are move sequences of 20 Research Article (RA) abstracts from the latest six years issue (2021-2016). The abstracts were selected from a particular discipline, English language teaching and learning, to control the variability. The findings reveal that the salient move sequences of two groups have reflected the stipulated framework of the rhetorical abstracts. The American authors and Indonesian authors complete the moves occasionally within 3 units, 4 units, or 5 units. The similarity and differences of expressions used in writing abstracts in each move have been detected. The article concludes by highlighting the status of Indonesian authors in writing the RA abstracts compared to the native English authors.
ENGLISH TEACHERS’ ABILITY IN IDENTIFYING AND PRODUCING ACADEMIC TEXTS: A GENRE-BASED CASE STUDY IN SRAGEN

This research was conducted to examine the ability of English teachers of senior high schools in Sragen Regency in identifying and producing texts with various types of genres that are needed to be developed into teaching materials. Members of High School English Teachers Association in the regency were involved in the research. An instrument in the form of test was distributed to all the members of the association measuring their capability in identifying various of texts, in producing them, as well as in using them in composing a journal article. The responses given by the teachers show that they actually do not have good knowledge and language skills in identifying as well as producing texts in certain types. Furthermore, they also got problems in positioning what type of text to which part of a journal article. This condition indicates that the teachers still need upgrading program for their language skills to compose a journal article, and in addition they need others to give a hand during the process of article writing.
Synthetic Data for 2D Road Marking Detection in Autonomous Driving

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;The development of autonomous driving generally requires enormous annotated data as training input. The availability and quality of annotated data have been major restrictions in industry. Data synthesis techniques are then being developed to generate annotated data. This paper proposes a 2D data synthesis pipeline using original background images and target templates to synthesize labeled data for model training in autonomous driving. The main steps include: acquiring templates from template libraries or alternative approaches, augmenting the obtained templates with diverse techniques, determining the positioning of templates in images, fusing templates with background images to synthesize data, and finally employing the synthetic data for subsequent detection and segmentation tasks. Specially, this paper synthesizes traffic data such as traffic signs, traffic lights, and ground arrow markings in 2D scenes based on the pipeline. The effectiveness of this pipeline was verified on the public TT100k dataset and the CeyMo dataset by image detection tasks. Template positioning methods including random location and same position replacement were employed for synthesis in traffic sign detection. For ground arrow marking detection, template positioning methods encompassing inverse perspective transformation and lane line positioning were utilized. Extensive experiments were carried out on the TT100K dataset and the CeyMo dataset. The performance between those open datasets and the synthetic data in this paper were then compared. The results show that the detection model trained entirely on synthetic data can achieve up to 86% mAP@0.5 on the TT100k dataset validation set, and choosing 50% of the CeyMo training set for fine-tuning can achieve 77% mAP@0.5. We have verified that data synthesis for categories with less data can effectively mitigate the class imbalance problem in datasets. This demonstrates that the pipeline proposed in this paper is a practical and effective approach in the field of autonomous driving data synthesis.&lt;/div&gt;&lt;/div&gt;
The Use of Clustering Model to Improve Poetry Writing Skills of SMP Negeri 4 Watampone, Bone Regency, Indonesia

This research aims to describe the improvement of writing skills of students in class VIII B SMP Negeri 4 Watampone, Bone Regency through the use of clustering model. This research was conducted by pre-observation in class VIII B. The writing skills of students of class VIII B SMP Negeri 4 Watampone are still low or lacking. The targets to be given action are students of class VIII B SMP Negeri 4 Watampone in 2022/2023 academic year. This research is classroom action research. The research procedure was carried out in 2 (two) cycles and each cycle had 3 meetings. Each cycle consists of four stages, namely: planning, action implementation, observation, and reflection. The techniques of data collection in this classroom action research are observation, documents, student assignments and tests. The data analysis was conducted using qualitative and quantitative techniques. The criteria for success of classroom action is the test of writing poetry using the clustering model. The use of clustering models in learning to write poetry can improve the quality of the process and students’ learning outcomes. It shows that there is an improvement in the completeness of the ability to write poetry from pre-cycle as many as 12 or 36.4%, cycle 1 as many as 21 or 63.6% and cycle 2 as many as 33 or 100%. Based on the improvement in student learning completeness in each cycle, the use of the clustering model needs to be applied to the learning of writing poetry of students in class VIII B SMP Negeri 4 Watampone, Bone Regency.
Review Paper on UPI Fraud Detection Using Machine Learning

Abstract: With the rapid growth of digital transactions, the Unified Payments Interface (UPI) has emerged as a popular and convenient method for financial transactions in the modern era. However, the increasing reliance on digital platforms has also led to a rise in fraudulent activities. This paper proposes a robust UPI fraud detection system employing advanced machine learning techniques to enhance the security of digital transactions. The proposed system leverages a diverse set of features, including transactional patterns, user behaviour, and device information, to create a comprehensive model for fraud detection. Machine learning algorithms, such as supervised learning classifiers and anomaly detection techniques, are employed to analyse historical transaction data and identify patterns indicative of fraudulent activities. The model is trained on a labelled dataset that includes both genuine and fraudulent transactions, ensuring its ability to distinguish between normal and suspicious behaviour
Modified Unbiased Optimal Estimator For Linear Regression Model

In this paper, we propose a novel form of Generalized Unbiased Optimal Estimator where the explanatory variables are multicollinear. The proposed estimator's bias, variance, and mean square error matrix (MSE) are calculated. The MSE criterion is used to compare the performance of this estimator against that of other estimators. Finally, a numerical example is examined to understand more about the new estimator's performance.Keywords : Almost Unbiased Ridge Estimator , Modified Almost Unbiased Two-Parameter , Generalized Unbiased Estimator , Mean Squared Error, 1.IntrodeuctionConsider the following multiple linear regression modelY=Xβ+ϵ (1)Where X is an n×p known matrix of dependent variable, Y is an n×1 vector of remarks the dependent variable, β is an p×1 vector of unknown regression coefficients, and ϵ is an n×1 vector of errors term disturbance, such that E(ϵ ) = 0 and V(ϵ ) = σ^2 I . The ordinary least square (OLS) estimator of β in model (1) is an given by,β ̂ = S^(-1) X^' Y
Sentiment Analysis Using Bert Model

Abstract The topic of this presentation entails a comprehensive investigation of our sentiment analysis algorithm. The document provides a thorough examination of its theoretical underpinnings, meticulous assessment criteria, consequential findings, and an enlightening comparative analysis. Our system makes a substantial contribution to the field of sentiment analysis by using advanced techniques based on deep learning and state-of-the-art architectures.
The use of new technologies in education – opportunities, risks and challenges in the times of intensive intercultural change

This study comprises an analysis of the school education system in the context of using modern technologies. Its main goal is to present the benefits and limitations associated with the implementation of modern technologies in the school environment. Two fundamental questions will be asked: 1) What are the effects of using new technologies in education, including intercultural education? 2) Can modern technologies pave the way for implementing the ideal of education as an activity aimed primarily at shaping an individual capable of effective and creative adaptation to the social reality in which otherness, including cultural otherness, is common? The authors indicate the types of implemented technologies and assess their impact on adapting students to the extracurricular reality. Referring to the source data and postulates of the contemporary pedagogical and sociological thought, the authors highlight the topicality of the message requiring from the school the activation and development of students’ competencies that will be effectively and creatively implemented in their future professional and social life. It should also be noted that education takes place in cyberspace as well, especially when it is related to the use of modern technologies, which is why great importance should be drawn to cybersecurity.
Sistem Reporting Benefit Karyawan PT Great Giant Pineapple Berbasis Web dengan Framework CodeIgniter 4

An information system is a combination of human resources, data, information technology, and policies/procedures that are regularly integrated to solve business problems and achieve organizational goals. Information systems are also needed in the company's operational activities. An example can be applied to the process of applying for employee benefits. In this research created a system that is used for the process of submitting website-based employee benefits. This system helps HR Service employees to carry out the process of applying for benefits employees of PT Great Giant Pineapple. This system is tested functionally. Based on functional testing it is known that the system meets the required functions.
Analysis of Innovative Talent Cultivation Strategy of Vocational Education under the Strategy of Developing the Country through Science and Education Based on Big Data Investigation

Abstract This paper is based on the big data survey under the strategy of science and education to develop the country and analyze the talent job skill demand. According to the social demand for education and the characteristics of the student source to design and formulate the talent training structure, through the cultivation of talents and social demand for game analysis, using linear programming methods to establish the game model of talent training mode. Game theory equilibrium theory can be used to solve on the basis of benefit function. The results of the teaching quality monitoring and evaluation system show that the students in this school achieved 9.7 in innovation consciousness and 9.5 in practical ability. The one-time signing rate reached 8.9, and the employment rate reached 7.7. It verifies that the talent cultivation strategy proposed in this paper can improve the quality, reduce the cost of talent cultivation of the enterprises and improve the practicability of the talents.