Reviewerly/exHarmony huggingface dataset:
THE HESITATION OF STUDENTS IN SPEAKING ENGLISH AT THE ENGLISH EDUCATION STUDY PROGRAM UNIVERSITAS ISLAM AHMAD DAHLAN SINJAI

Abstract&#x0D; Speaking is not only conveying certain meanings but sometimes producing utterances has other meanings, speaking often suddenly changes thoughts, this then results in non-fluency in English. The purpose of this study was to find out the types of hesitation in speaking English in the English language education study program and to find out the factors of students' hesitation in speaking English in the English language education study program Classes of Islamic University of Ahmad Dahlan Sinjai. The type of research used in this research is phenomenological research, qualitative research pays attention to qualitative phenomena related to quality or diversity. Individual beliefs, experiences, and systems of meaning are of particular concern to qualitative researchers. The results of this study found that the most common doubts were fillers that were not lexical such as uhh, err, ee, aah, umm, and ehmm. The slightest hesitation is that a false start must be traced back. And also, there are nine types of doubt that occur viz 1).Silent Pause 2).Filler, 3).Repeat, 4).False Start, (Unrestricted), 5). False Start (Retraced) 6).Corrections, 7). nterjection, 8). Stutters, and 9). Slip of tongue. Based on previous observations, it can be concluded that all students of Islamic University of Ahmad Dahlan Sinjai who are the object of research show hesitation when speaking English.
Mechanism Design in Blockchain Networks and Beyond

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Excellence of Human Resources in Non-governmental Organizations with a Voluntary Approach in the Volunteers Organization of the Red Crescent Society

INTRODUCTION: The excellence of human resources has been one of the basic goals of organizations in recent years, and efforts have been made to create appropriate competitive advantages for the organization. In this research, the excellence of human resources in non-governmental organizations was investigated in the Volunteers Organization of the Red Crescent Society. METHODS: This cross-sectional descriptive research was carried out using a quantitative approach. The statistical population in this research consisted of the employees and volunteers of the Volunteers Organization, among whom 429 individuals were selected using a simple random sampling method. The required data were collected through a researcher-made questionnaire. In order to investigate the research hypotheses, Spearman's correlation and regression tests were used in SPSS-21 software. FINDINGS: According to the opinions of the employees and volunteers of the Volunteers Organization, there was a significant relationship between the excellence of human resources and volunteers activities in service organizations with a volunteer approach. This means that in this organization, improving the conditions of excellence of human resources would increase the willingness to volunteer behaviors in the organization. CONCLUSION: The results showed that various organizations could have effective activities with targeted planning in human resource excellence in the field of social responsibility and doing voluntary activities in the community in such a way that when these activities are planned and continuous, the responsibility of other NGOs or such organizations is reduced.
AI-Empowered Learning Models in Economy 5.0: Fostering Meaning Creation Beyond Literacy

Economy 5.0 signifies a transformative era with profound implications for human development and education. This article examines emerging learning models underpinning Economy 5.0, exploring their impact on politics, personal growth, and global education ecosystems. The paradigm shift in economic evolution prompts a reevaluation of the nexus between politics and personal development, with learning acting as a catalyst for societal and individual transformation. A global perspective on AI in education policies underscores the geopolitical significance of AI-related technologies, reshaping knowledge dissemination through innovative learning platforms and Learning DAOs. Blockchain-based Agile Learning DAOs (BALD) are introduced as a mechanism that revolutionizes content creation with transparency and ethical considerations. Ethical learning, privacy, and addressing information bias emerge as central themes, with AI enhancing personhood. The roles of educators as guides remain pivotal. The future of learning in Economy 5.0 necessitates a balanced partnership between humanity and technology, grounded in ethics and human potential.
Development of E-worksheet of Coordination System in Human Based on Learning Cycle 7E to Improve Critical Thinking Ability and Student Motivation

Nowadays, the ability to think critically and motivation in learning is something that must be owned by students. One of the learning models that can improve both is learning cycle 7E combined with e-worksheet. The purpose of this research is to develop e-worksheet based on learning cycle 7E to improve critical thinking skills and learning motivation of grade XI high school students as seen from the results of feasibility and practicality tests. This research is a Research and Development (R&amp;D) study with the ADDIE model which is applied until the development stage only. The feasibility of the product was assessed by one material expert lecturer and one media expert lecturer and the practicality of the product was assessed by 5 biology teachers. The results obtained based on the product quality assessment, obtained a value from a material expert lecturer with an ideal percentage of 83.9% in the feasible category, a media expert of 83.3% which is in the feasible category, and the results of the practicality test by the teacher obtained an average ideal percentage of 94.5%. Therefore, e-worksheet based on learning cycle 7E can be used to improve critical thinking skills and student learning motivation.
Library Existence and Digital Science Literacy as An Effort to Increase Community's Reading Interest (In A Gender Perspective)

Digital libraries and scientific literacy as a source of knowledge to preserve human civilization and libraries as public institutions that acts as service providers and information providers. The development of science and technology in the current era has ushered in the process of obtaining scientific information very easily which accompanies humans freely without being selective in obtaining information only through smartphones, computers, the web and other social media. This study was carried out in a library and the samples were visitors and people around the library who used male and female classifications. The data that has been collected will be analyzed using two forms of analysis, namely quantitative and qualitative. The findings of this study are that there are differences in tendencies in choosing reading sources or sources of scientific information between men and women. Women are more dominant in using digital scientific literacy via smartphones and via the internet, while men prefer to visit the library to read and search for scientific literacy. The existence of libraries in the digital era still contributes to increasing people's reading interest even though people's reading interest is still in the low category.
The Role of Literacy in Addressing Media Exposure for 6th Grade Female Students at SD N 16 in Nagari Supayang

This research was conducted to identify the role of literacy in reducing Media Exposure among female students, especially in the 6th grade at SD N 16 Nagari Supayang. Considering that 6thgrade female students are transitioning into the Teenage Girls level, they are often a vulnerable group impacted by the media and need protection from cybercrimes. The research method employed by the researcher is qualitative descriptive research, aimed at describing the role of literacy for female students. The results obtained from this research indicate that literacy plays a role in educating students to choose information and create positive written content. Literacy is also effective in reducing media exposure, including psychological impacts due to bullying on social media and the tendency to imitate vulgar movements found on social media, which can lead to criminal activities in the virtual world.
Comparative Analysis of Facial Expression Recognition Systems for Evaluating Emotional States in Virtual Humans

The digital animation process is a complex endeavour requiring professional animators to acquire substantial expertise and technique through years of study and practice. Particularly, facial animation, where virtual humans express specific mental states or emotions with a desire for realism, is further complicated by the “Uncanny Valley” phenomenon. In this context, it is posited that pre-validated facial expressions for certain emotions could serve as references for the novice or inexperienced animators during the facial animation and posing process of their virtual humans using morph targets, also known as blend shapes or shape keys. This research presents a comparative study between two Facial Expression Recognition (FER) systems that employ pre-trained models for facial recognition applied to emotion recognition in virtual humans. Given that these systems were not designed or trained for this particular purpose but for facial recognition in real humans, this study aims to investigate their level of applicability in scenarios where virtual humans are used instead of real humans. This assessment is a critical step towards evaluating the feasibility of integrating FER models as part of a support tool for facial animation and the posing of virtual humans. Through this investigation, this research provides evidence of the reliability of applying the FER library and Deepface systems for emotion recognition in virtual humans, contributing to investigating new ways to enhance the digital animation process and overcoming the inherent complexities of facial animation.
Radial Menu for Virtual Reality Based on Wrist Rotation

Rapid interaction with menus plays a crucial role in fast-paced real-time applications such as games and simulations, confronted with menus that contain a large number of options, especially when considering applications in virtual reality (VR). The conventional selection methods, such as raycasting, commonly used in these scenarios, tend to be cumbersome, imprecise and require unnecessary movements. To overcome these limitations, this paper explores different techniques that use the wrist rotation to interact with radial menus in an efficient and intuitive way. An experimental study was conducted involving multiple users to compare the effectiveness of the different solutions, demonstrating their ability to deliver seamless and efficient interactions within the virtual reality environment.
Literature Review AI-Powered Agile: Reimagining Software Development through Automation, XAI, and Continuous Learning

The software development landscape is undergoing a paradigm shift with the rapid integration of artificial intelligence (AI). This paper explores the convergence of AI and Agile methodologies, highlighting how AI can augment Agile practices, enhance explainability and transparency through XAI (Explainable AI), and fuel continuous learning and improvement. We examine the potential benefits of AI-powered Agile, including increased efficiency, improved software quality, and greater innovation, while also addressing challenges and ethical considerations. Ultimately, we argue that responsible implementation of AI and XAI within Agile frameworks holds immense potential to reshape software development models and unlock a future of faster, more efficient, and adaptable software creation.
Forensic face sketch recognition

Crime has taken a drastic revolution, and so does the demand for enhancing the security of the forensic files and records. Nowadays, there is an increased requirement to use technological measures in the field of crime as well for identification, detection and recognition of the suspects. To deal with safety and security biometric recognition is necessary. One of the most common biometric techniques is face recognition, as the face is one of the most convenient and reliable way of identification. On the contrary, hand-drawn sketches and sketchers are limited in number although sketches are drawn in almost every criminal case. To come to the rescue, face recognition using a biometric mechanism using computer vision helps in solving the case in special circumstances where the suspects use masks to hide his face or some features. Suspect can conveniently hide the face like nose, eyes, lips, face colour, etc. but the outliner features of face cannot be duplicated. Face sketches have essential information about the face structure and topology and to deal with such precision, there is a requirement of intervention with some assisted computer mechanisms like Deep Convolutional Neural Network which helps in recognizing specific features.
Navigating Few Ethical Challenges in the Airline Industry: A Qualitative Investigation

The purpose of this study is to discover the numerous challenges the airline industry faces particularly with workplace ethics and to investigate the recommendation for the organization to overcome these challenges and ensure long term profitability. The challenges consist of poor ethics in airlines, bribery, and misleading advertisement. This study used qualitative study method with a purposive sampling strategy. Four representatives of the Airlines company were selected with a range of year services between 2 years to 10 years’ working experience from various departments. The result showed the airline industry faces a significant number of problems and roadblocks. Companies in the airline industry find it challenging to maintain a smooth flow of operations and activities. The findings from this study are expected to benefit the airlines industry, the travelers and the researchers that specialized in organizational behaviour study.
Learn from anywhere, anytime: Factors Influencing the adoption of E-learning System in Malaysian private university

E-learning utilization and implementation between many users is a significant challenge for many universities in both developed and developing nations. This study aims to examine the indirect effect of E-learning System Quality on the E-learning system adoption, through trust and self-efficacy. The data were collected via self- administered questionnaires, yielding 129 usable responses from the students of Manipal International University in Nilai, Malaysia. This study revealed that e-learning system quality has a positive effect in building the students’ trust and self-efficacy. The positive effect of trust and self-efficacy on e-learning system adoption were also confirmed. In addition, this study found the mediation effect of trust and self-efficacy in the relationship of the e-learning system quality and e-learning system adoption. The findings from this study are expected to benefit both practitioners, the tertiary education industry, specifically universities and colleges that interested to explore e-learning system and researchers that specialize in education study.&#x0D;
Optimizing the Use of Wordwall Educational Games Aplication

Background. Wordwall is an interesting application associated with this program. The app is clearly intended as an educational tool, a platform and an exhilarating evaluation for students. Teachers find it suitable with the concept of learning and playing using wordwall during student learning to keep it interesting and avoid boredom Purpose. Wordwall media can increase happiness, excitement, enthusiasm and motivation. Method. This wordwall can be used for all levels of online and offline learning, from elementary school to college. Results. , Its simple design and many features, Wordwalls is very easy for new users to understand, Wordwalls has several advantages, Wall is very special compared to other web applications. Conclusion. The use of word walls in the learning process is not yet common, but there are many documents and research results about word walls on the Internet. Using phallus words by students in online learning, it was concluded that phallus words can improve students' learning activities and outcomes. The text wall increases students' interest in the lesson and reduces boredom during the teaching process
Product Development of Ayo Belajar Tayamum Application

Background. Technology development currently has rapid and significant changes, one of which is in the world of education, where technology is one of the learning media in delivering material&#x0D; Purpose. . In this study, researchers conducted technology development in the form of the Let's Learn Tayamum application. The purpose of this study is to develop the Let's Learn Tayamum application and also measure the effectiveness of the application in learning.&#x0D; Method. . To achieve the above objectives, researchers use development research or Research and Development (R&amp;D).&#x0D; Results. , The technique used is to test the use of applications to fourth grade students of SDIT Jagat Arsy, for data collection techniques, researchers use pre-test and post-test.&#x0D; Conclusion. After analyzing the data, the results showed that the use of the Ayo Belajar Tayamum application in learning was quite effective with a moderate category, namely with the results of the N-Gain Score of 0.7004 or 70.04%.
Feature Extraction for Improvement Text Classification of Spam YouTube Video Comment using Deep Learning

The proposed algorithms are Bidirectional Long Short Term Memory (BiLSTM) and Conditional Random Fields (CRF) with Data Augmentation Technique (DAT). DAT integrates spam YouTube video comments into the traditional TF-IDF algorithm and generates a weighted word vector. The weighted word vector is fed into BiLSTM CRF to capture context information effectively. The result of this study is a new classification model to spam YouTube comment videos and increase the computational value of its performance. This research conducted two experiments: the first using BiLSTM CRF without DAT and the second using BiLSTM CRF with DAT. The experimental results state that the evaluation score using BiLSTM CRF with DAT shows outstanding performance in text classification, especially in spam YouTube video comment texts, with accuracy = 83.3%, precision = 83.6%, recall = 83.3%, and F-measure = 83.3%. So the combination of the BiLSTM-CRF method and the Data Augmentation Technique is very precise, so it can be used to increase the accuracy of classification texts for spam YouTube video comments
Does Staff Training Influence Employees’ Performance? Some Reflections From Kigamboni Municipal Council, Dar Es Salaam, Tanzania

The link between training and employee performance is critical to human resources management. Though studies have demonstrated the influence of training on employee performance, few studies have attempted to explore this relationship in Tanzania. This study aimed to examine the impact of training on employee performance. The study further explored factors affecting training programs at Kigamboni Municipal Council. A mixed-method approach was applied to explore the phenomena. Both probability and non-probability sampling techniques were applied to obtain respondents for this study. Questionnaires and interview tools were used to collect data. A total of 95 respondents were selected for the quantitative study, and a total of 15 interviewees were selected for the qualitative study. Qualitative data was analyzed using SPSS, and qualitative data was analyzed using content analysis technique. Findings indicate that employees see the influence of training on job performance. Even though respondents see the importance of training on job performance, minimal training programs were believed to affect their performance negatively. The study revealed several factors affecting the implementation of training programs. The study concludes that it is vital for organizations to strategically manage employees’ training programs to ensure that the majority of employees realize their full potential and improve the overall performance of an organization.
Comparative Analysis of Faired-In Bulb and Bulbous Bow Ram Bow's Bulbous Bow Shape On Total Ship Resistance

A General Cargo Ship is a ship that carries various kinds of cargo in the form of goods. The goods transported are usually packaged goods. Using a bulbous bow on the ship's bow is the best alternative. Bulbous bows are installed on ships with high speed to reduce drag, whose nature depends on the function of the block coefficient and Froude number of ships. Ships with particular Cb and Fn can use a Bulbous bow due to considering the advantages of a significant enough resistance reduction, or vice versa. This research is a general cargo ship model with a bulbous bow. They are using the main dimensions of the ship with Length Over All (LOA) 153.45 m, Length Between Perpendicular (LBP) 144.2 m, Length On Load Waterline (LWL) 147.8 m, and Breadth (B) 25.27 m. height (H) 13.5 m, Draft (T) 9.52 m, Speed ​​(V) 14.75 Knots. The magnitude of the resistance and practical power of the ship required to reach a speed of 14.75 knots on a ship with the Faired-in Bulb type obtained from maxsurf 431.9 kN and 4096, 548 HP. For Bulbous bow type Ram Bow ships, the resistance and adequate power obtained are 431.3 kN and 4090,683 Hp. The ship's power using the Bulbous bow Faired-in Bulb is more significant than using the Bulbous bow of the Ram Bow type.
Study on Constructing a Categorical Color Perception Model for Selecting Colors Used in CAPTCHAs

Completely automated public Turing test to tell computers and humans apart (CAPTCHA) distinguishes between human and machine access to web pages. However, CAPTCHAs that use visual characteristics have been studied to make machine responses more difficult. In this study, a model that reproduces human color perception was constructed using a neural network with the aim of utilizing the ambiguity of human color perception in CAPTCHA. The results of the investigation of training data showed that the data used to train the constructed color perception model was optimal when only colors that could be classified as categorical colors were used.