Reviewerly/exHarmony huggingface dataset:
Impact of corporate social responsibility on employees’ attractiveness in hospitality industry

&lt;p&gt;This study begins the conversation on the impact that applicant CSR orientation has on a major phase of workforce development—employer attractiveness. There is also virtually no research that investigates CSRO and workforce development. Meanwhile, this present research effort provides evidence that there is some basic relationship between CSRO and employer attractiveness. The data comes from 280 participants who are interested in joining the hospitality and tourism industries in Pakistan. Structural equation modeling was used to analyze the data. The results showed that all four dimensions are significant predictors of employers’ attractiveness. More specifically, the ethical aspect of CSR has a stronger impact on employers’ attractiveness, whereas discretionary behavior in CSR has the least impact. The implications for academicians, researchers, and managers in the hospitality industry are given in detail.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;
Usability Evaluation and Solution Design Improvement of OCTO Friends as Banking Referral Application

OCTO Friends application was developed to allow customers to directly participate in banking product referral program, has not met expectations and targets. Only 10.6% of the 39,105 members actively provided referrals, and business conversion rate was only 10% of the target. This study aims to evaluate the application's usability and generate recommendations for interface design improvement. A mixed methods research approach was used, including quantitative research through user needs questionnaires and System Usability Scale (SUS), along with qualitative research through in-depth interviews and usability testing. Data collection through questionnaires involved 104 respondents, resulting in a list of user needs and SUS score of 66. The results showed that OCTO Friends is requires some improvements. In-depth interviews and usability testing for six main functions led to 46 interface design improvements, especially improvements in referral data input, follow-up referral, and incentive information functions as these are primary functions of referral application.
Classification of flood disaster level news articles using Machine Learning

Floods have a significant socio-economic impact on Indonesian society. Much of this information is sourced from online news articles and social media. This research investigates whether the Support Vector Machine (SVM) method can be used for flood disaster level classification (low, medium, and high). Our methodology involves preparing data extracted from textual news articles on the National Disaster Management Agency (BNPB) website on the topic of flooding. We then labeled the data according to Regulation No. 02/2012 on general guidelines for disaster assessment and used the Support Vector Machine (SVM) method. Training and testing were conducted using different datasets, followed by accuracy and error evaluation. In addition, we considered the performance comparison of SVM with other classification methods, including Decision Tree, Naive Bayes, Adaboost, Random Forest, and Xgboost. The experimental results show that SVM still does not get good accuracy results for flood disaster level classification. The SVM accuracy level result of (52%) is still low compared to Random Forest (78%), and Xgboost (68%). Further research is expected to increase the accuracy of SVM for flood level classification.
Capabilities Comparison Of The Augmented Reality Application Development Frameworks On The Android Platform

In the implementation of augmented reality, the natural process of human-computer interaction continues to be a challenge, specifically to reduce the complexity in the effort of using and providing comfortability. Therefore, it is necessary to search for methods and tools to simplify the complex process of building Augmented Reality applications. Vuforia is a multi-platform that has long been used as an Augmented Reality application development framework. Android and iOS platform frameworks are the new alternatives following the development of cellular technology. Furthermore, a comparative capability was conducted between Vuforia and ARCore on the Android platform. The general performance and the ability to understand the environment include working in horizontal and vertical planes, the ability to work based on lighting conditions, and the distance of the camera during the tests. The results showed that ARCore is superior to Vuforia in almost all testing metrics. However, in overexposed or too dim lighting and at very close surfaces, Vuforia is slightly superior but not essential. Therefore, it can be concluded that ARCore's capability is better than Vuforia.
A Systematic Review of Risk Management Tools and Techniques in Software Projects

The crafting of software is a continual procedure, and the success of each step of that process is contingent on effective management. Despite this, numerous organizations need help developing e-service systems, frequently dealing with budget constraints and tight deadlines. The lack of focus on risk management in software projects is likely to blame for these failures. Management of risks is crucial to ensuring the success and efficacy of software development projects, as it assists in identifying areas of vulnerability and provides valuable insights into the project's most important aspects. This study identifies and analyzes tools and techniques to support software development projects’ risk management activity. A systematic literature review (SLR) methodology was employed to collect and evaluate relevant research articles. The findings highlight various risk management tools and techniques, including brainstorming, root cause analysis, risk probability assessment, artificial intelligence, and risk response planning. These tools and techniques contribute to identifying, analyzing, planning, and controlling risks in software projects. The research provides insights into the state of the art in risk management. It complements previous studies by offering practical guidance on software development project risk management tools and techniques.
Picture Fuzzy Aggregation Operator based Integrated MEREC-WASPAS Technique for Video Conferencing Tool Selection

Journal of Uncertain SystemsAccepted Papers No AccessPicture Fuzzy Aggregation Operator based Integrated MEREC-WASPAS Technique for Video Conferencing Tool SelectionChayel Tripura, Sayanta Chakraborty, and Baby BhattacharyaChayel Tripura, Sayanta Chakraborty Search for more papers by this author , and Baby Bhattacharya Search for more papers by this author https://doi.org/10.1142/S175289092450003XCited by:0 (Source: Crossref) Previous AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 5 July 2023 Accepted 10 February 2024 PDF download
Analysis of Cybersecurity Vulnerabilities Using Data Science Techniques

Cybersecurity analysis using data science and machine learning plays a crucial role in today's digital era, where information security has become imperative for organizations. This study focuses on the intersection between cybersecurity and data science, using machine learning methods and text analytics to understand and strengthen defenses against threats. The importance of TF-IDF (Term-Inverse Document Frequency) is highlighted as a tool to evaluate the relevance of terms in documents and its application in vulnerability classification.The Multinomial Naive Bayes classifier is presented as an efficient tool in text classification, calculating probabilities of belonging to specific classes based on the frequency of terms. The essential formulas used in this algorithm, such as conditional probability and multinomial distribution, are detailed.The KDD (Knowledge Discovery in Databases) methodology guides the process, from datacollection on platforms like Kaggle to data selection, cleaning and transformation. The use of `TfidfVectorizer` facilitates the discretization of text data, and the `GridSearchCV` method optimizes the model's hyperparameters, achieving an accuracy of 97.36%. Finally, the confusion matrix reveals good overall performance, although areas for improvement are identified, especially in the 'High' class.
Effect of Human Resource Management Practices on Organizational Performance in Rwanda. A Case of International Training and Motivation Africa Limited

This study delved into the effect of Human Resource Management Practices on the performance of International Training &amp; Motivation Ltd Company. The focus was on examining the effect of human resource planning and training and development on the company's performance. The study employed a descriptive survey design, utilizing both quantitative and qualitative approaches. A sample of 242 respondents was chosen, and data were collected through questionnaires and interviews. Data analysis was carried out using the Statistical Package for Social Sciences (SPSS) version 21. The findings revealed that human resource planning and training and development significantly affect organizational performance at International Training &amp; Motivation Ltd Company. The adjusted r2 value indicate that the multiple linear regression model could explain up to 73% of the variations in the organization's performance. In conclusion, there is a positive and high correlation (r=0.708, p=0.000) between Human Resource Management Practices and organizational performance at International Training &amp; Motivation Ltd Company. The researcher suggests that employees should increase their commitment to their jobs whenever the employer complies with HR practices to motivate them. They can do this by using a feedback mechanism to show their employer their level of satisfaction or dissatisfaction with their jobs.
QR Code-Based Smart Document Implementation Using Distributed Database And Digital Signature

In digitized world, digital documents are essential for information sharing. However, some organizations continue to place their reliance in traditional hard-copy formats concerning about the legitimacy of documents. This study presents an innovative approach to document verification with digital signatures, distributed databases, and QR codes. Using a two-step process for data integrity and document authentication, the study approach entails developing a Smart Document with a QR code and digital signature. For increased security and scalability, the system design distributes hash fragments among several databases using the hash split approach. The system's excellent performance, resistance to sluggish HTTP-based attacks, and effectiveness in document verification are highlighted by the results and debates. The report ends with recommendations for future improvements to strengthen the system's resilience, like implementing more secure database engines and enhancing fault tolerance. In conclusion, this method offers a viable way to verify documents in hardcopy and electronic formats in a secure and scalable manner.
Twitter Sentiment Analysis of Public Space Opinions using SVM and TF-IDF Methods

Public space opinion reviews are currently a source of information for interested parties and decision-makers. Twitter is a social media that is a means of expressing themselves for people to express their opinions and criticize the current situation. This becomes information for readers. Information published on Twitter contains elements of commentary on a situation or object Sentiment analysis of public space opinion on Twitter using Machine Learning with the Support Vector Machine (SVM) method with the data weighting process using the Term Frequency-Inverse Document Frequency (TF-IDF) method. Dataset obtained by scraping using the Twitter API as much as 5000 data then labeled where the goal is to get accuracy on positive, negative, or neutral sentiment. The results of research conducted experiments on three Machine Learning algorithms with the extraction function "TF-IDF" obtained an accurate training model with good classification capabilities, especially SVM of 91,6% on data distribution 70: 30; SVM is 92.8% in the case of data distribution of 80: 20; the SVM is 91,8% in the case of 90:10 decomposition data.
Implementasi Pendekatan Kontekstual pada Pembelajaran Bahasa Indonesia di Kelas IIB MIS Mutiara Aulia

This study aims to find out how teachers implement contextual approaches in the classroom. The research method used is field qualitative. By using this method, researchers obtain data through interviews, observations, and direct documentation in the field. The results of the study show that the Contextual Teaching and Learning (CTL) approach is very effective and efficient in the learning process. Students find it easier to understand the learning material because it is related to their daily lives. This learning approach is expected to encourage students to create and learn knowledge independently, as well as educate and motivate them to apply that knowledge in real life.
Pelatihan Pengajaran Bahasa Inggris Dasar Menggunakan Metode TPR (Total Physical Response) sebagai Solusi Pembelajaran bagi Guru TK di KB/TK Nasrullah

Choosing the right English learning method for early childhood is very important. At an early age, children's development is in a concrete phase. Therefore, the learning process applied to early childhood education must be based on something real or tangible in accordance with the learning objectives, which is to convey basic concepts that have meaning through real experiences, in order to enhance the creativity, memory, and curiosity of the child. The Community Service Program (PKM) involves a series of structured stages. First, observation and survey of the location where the PKM activities will be carried out to ensure all necessary preparations. As a plan to fully implement this activity, it will be divided into two parts. First, a final evaluation will be conducted on the training that has taken place. The final step is to prepare a final report summarizing the entire program journey, including objectives, methods, findings, and recommendations for the future.
Penggunaan Media Simulasi PhET terhadap Hasil Belajar IPA Siswa di SD pada Materi Rangkaian Listrik

The PhET simulation media is very helpful for teachers in delivering various physics concepts through interactive simulations. By displaying various phenomena that cannot be directly observed, it can increase students' interest and curiosity. This research focuses on the use of PhET simulation media in Gombong Sari Elementary School. The study uses a qualitative method, with a target of 20 fourth-grade students as subjects. The 20 students conducted simulations using PhET on the topic of electric circuits in science lessons. The data collected was then analyzed, leading to the conclusion that: 1. Using PhET simulations can help teachers easily explain the topic. 2. PhET simulation media has interesting and enjoyable illustrations and can foster higher learning interest. 3. By using PhET simulations, students will be more active and enthusiastic in learning, as PhET provides unique and interesting elements in the teaching and learning process.
Pendampingan Kemampuan Reading dalam Konteks Sains pada Komunitas Membaca Mahasiswa Kota Palangka Raya

The community service activity is a mentoring program for student reading communities to provide reading skills in the context of science. This activity was carried out with student reading communities from various universities in Palangka Raya City for three weeks with the IAIN Palangka Raya service team. The purpose of this community service activity is to train reading skills in English and also to increase the insight of students into the science. The method of this activity includes the preparation phase (problem identification and planning), the implementation phase, and the evaluation phase (interviews and feedback). From the results of this mentoring activity, it can be concluded that this activity has a positive impact on community members by making them more productive in reading and increasing their skills and interest in reading.
Analisis Ragam Bahasa Willy The Kid di Platform X

The use of slang language in criminal communication reflects an understanding of language and can help in analyzing and identifying various languages and the presence of criminal content in language. This research method uses qualitative descriptive methods. The results of this study indicate that, 1) The language used in Willy The Kid's tweets, a user on platform X, is informal, and (2) in Willy The Kid's tweets on platform X, there is criminal content in language, namely incitement, hate speech, and insults. This informal language variety is characterized by the use of non-standard words and expressions, as well as the use of slang. The use of informal language variety can be interpreted as Willy The Kid's efforts to build a close relationship with his audience.
Peran Teknologi dalam Meningkatkan Efisiensi Pengelolaan Sarana dan Prasarana Pendidikan

The utilization of technology in managing educational facilities and infrastructure can create a more modern, efficient, and productive learning experience. Integrating technology in the management of educational facilities and infrastructure can improve efficiency, effectiveness, and accuracy in asset and resource management in educational institutions. Therefore, the role of managers and stakeholders is crucial to the success of education provision, especially in providing facilities and infrastructure. The aim of this research is to discuss how to integrate technology systems in the management of educational facilities and infrastructure to improve the quality of modern education. In the digital era, information and communication technology becomes very important in improving the efficiency, effectiveness, and accuracy in resource management in educational institutions. This article also discusses various technologies that can be integrated into the management of educational facilities and infrastructure, their benefits, and implementation methods. The use of technology can help in managing the security, maintenance, and monitoring of the condition of educational facilities and infrastructure. Hopefully, this article can provide insights and inspiration for those involved in the management of educational facilities and infrastructure to continue innovating and improving the quality of education in Indonesia.
Sumber Belajar pada Pembelajaran IPS di MI atau SD

This journal discusses about learning resources, which are all the things used to compile teaching materials. Learning resources can be interpreted as places or surrounding environments, objects, and people that contain information used as a means to bring about changes in behavior. Learning resources include learning media and teaching aids that provide information to students or determine the success in facilitating students to achieve learning goals, so that teaching and learning activities can be carried out well and effectively. The components of learning resources are used to support how the learning resources used can be applied well and in accordance with the learning process. The benefits of these learning resources are to provide direct and concrete learning experiences to students and to ensure that the learning process runs well so that the learning objectives in school are achieved. Learning resources come from the words "source" and "learning". According to Poerwadarminta, source means "origin" (in various senses), while the word learning means "to strive (practice, and so on) in order to acquire skill".
Penggunaan Media Puzzle Pecahan dalam Meningkatkan Hasil Belajar Siswa Kelas III pada Pelajaran Matematika

The purpose of this study is to identify the problems in learning Mathematics, simple fractions, educational learning media, and the learning outcomes of SDN 101873 Batang Kuis. This study uses qualitative research methods with observation techniques, literature analysis, and documentation when conducting learning activities in analyzing the use of fraction puzzles in the fraction material abilities at SDN 101873 Batang Kuis. The subjects of this study are third-grade students at SDN 101873 Batang Kuis. The results of implementing fraction puzzles in the fraction material skills at Batang Kuis show that mathematical puzzle skills have improved in the third grade. Students really enjoy playing fraction puzzles. Based on the results of the research and discussion, it can be concluded that the use of fraction puzzle media in fraction material provides a better impact. Students are able to first understand and analyze problems, able to design, plan, and find solutions, and then evaluate these solutions.
Evidence as Knowledge Indicators

This chapter puts forth a novel view of evidence in terms of knowledge indicators, and it shows that it is superior to its competition in that it can account for the epistemic impermissibility of resistance cases, as well as for the effect that resistance to evidence has on doxastic justification. Very roughly, knowledge indicators are facts that enhance closeness to knowledge: a fact e is evidence for S that p is the case if and only if S is in a position to know e and e increases the evidential probability that p for S.
Exploring community satisfaction in building an innovative android-based mobile survey application for people travelling to Mentawai Island

This research aims to develop and evaluate an android-based mobile survey application to measure passenger satisfaction with transportation service standards to Mentawai Island. The application that has been developed will help in the evaluation process so that the improvement of sea transportation services can be improved. This study used the 4D development model and involved 30 passengers of the Mentawai Fest Ship as research subjects. The research instruments used were a validation questionnaire and a practicality test. A survey of public satisfaction with transportation services to Mentawai Island using an Android-based application will be developed, implemented, and evaluated. The results show that the application effectively meets the community's needs, shows high validity, and provides a convenient feedback mechanism for users. Overall, these findings contribute to efforts aimed at improving the quality of transportation services and the overall passenger experience.