Reviewerly/exHarmony huggingface dataset:
Sistem Pakar Mendiagnosa Penyakit Rabies Menggunakan Metode Certainty Factor

The increasingly rapid development of technology has changed the world, the launch of various new technologies has made people dependent on technology to do various jobs. An expert system is a system that is integrated with computer equipment in which there is knowledge, facts and reasoning techniques in solving problems that usually can only be solved by an expert in that field. For example, an expert system that analyzes rabies by relying on the symptoms a person feels. as a decision maker. Rabies is an acute infectious disease, attacks the central nervous system caused by Lyssavirus and will result in death, can attack all warm-blooded animals and humans. This disease is zoonotic, namely a disease that can be transmitted from animals to humans through the bite of a rabid animal. This system was designed with the aim of being a means of solving problems surrounding rabies using the factor certainty method. Factor certainty is a method for proving whether a fact is certain or uncertain in the form of metrics commonly used in expert systems. The percentage of confidence obtained by the expert system using the factor certainty method for diagnosing rabies reached 84% by referring to the data provided by the user to the expert system.
Literature Review on Success Factors of Agile Software Teams

Thousands of teams are using agile software development methods, especially Scrum. Few of them are really “living” Scrum and therefore successful. This paper discusses the factors that led the Scrum team to the successful. A survey about the success factors in agile projects especially that related to the Scrum teams is presented. We proposed a new framework for the success factors of the Scrum team. According to a questionnaire is distributed to evaluate the Scrum team performance, we concluded that some of the success factors are strongly or moderated applied, but others are applied with a low degree. We calculated the Adherence degree for each success factor according to our evaluation to know its importance in the success of the software project.
Penerapan Metode K-Means Clustering dalam Klasterisasi Pemilihan Pasir Sesuai SNI

Development is a government effort to develop a prosperous society. The house is a basic need that is met by every human being as a decent place to live, which is not only for a place to rest and shelter. The method used is clustering with the K-Means algorithm against 8 sand sample data. The results obtained from the data mining process use SPSS software that produces very good, good, and not good.&#x0D; &#x0D;
A Proposed Approach for Assessing the Security Features of Banknotes

Important features for securing banknotes include watermark, security thread, hologram, and Intaglio printing. These features can be realized by the user's senses. The goal of these features is to provide sufficient quality features that can help the public to determine whether or not their banknote is genuine. Recently, due to the development of computer software, laser printers and scanners, counterfeiting has become a vital issue. This paper aims to generate evaluation security features, for the banknotes model to enhance the quality. A Quantitative to evaluate the quality of security features banknotes, where the data was gathered via a questionnaire using the five-point Likert scale that uses the values: poor, fair, good, very good, and excellent. The proposed framework is used for the classification of banknotes genuine or counterfeit.
Literature Review: Big Data dan Data Analys pada Perusahaan

Companies worldwide have witnessed an extraordinary data revolution. Big data and data analytics have become highly valuable assets for companies, playing a crucial role in decision-making, business strategies, and competitiveness in an increasingly competitive market. This phenomenon creates a new paradigm that can transform how companies operate and interact with their customers. The objective of this research is to understand the importance of using big data and data analytics in a company. This study includes a comprehensive literature analysis and combines empirical findings from various previous studies. The method used in this research is a literature review approach. This journal is compiled based on the analysis of research findings sourced from various journals accessed through the Google Scholar database. The research results indicate that big data and data analytics have become essential elements in modern companies, helping them make more accurate decisions, improve operational efficiency, and achieve competitive advantages. However, companies must also pay attention to data privacy and security issues to ensure that their use of Big Data complies with applicable regulations.
Users’ Experiences in Using Book Creator for Creative and Innovative Learning

Within the 21st century learning framework, the blueprint of education in the future making the hybrid learning model ideal option including in learning English. In English learning, using certain kind of technology is important for creative and innovative learning and the students must take into account to decide their own learning model and media. This study aimed at exploring users’ Experiences in using “Book Creator” for creative and innovative English learning. Quantitative descriptive research was conducted to 26 students of English class as the users of Book Creator. Six scales of User Experience Questions (UEQ) were used and analyzed using UEQ tool. Generally, the participants responded positively towards the use of Book Creator in English learning. The level of users’ experiences in using Book Creator with an average scale of test result on six scales; attractiveness 1.667, Perspicuity 1.440, Efficiency 1.340, Dependability 0.620, Stimulation 1670, Novelty 1.070. The highest scale was on the stimulation scale at 1.670 which was categorized as “Excellent” while the lowest score was the Dependability at 0.620 which was categorized “bad”. In short, there is positive experience of the users in using Book Creator for learning and the alternative hypothesis is accepted
Navigating the Effectiveness of Authentic Reading Materials Toward ESP University Students’ Reading Proficiency

The field of ESP teaching has undergone a revolutionary transformation with the integration of ICT tools and other authentic materials. These resources have proven to be invaluable to learners as they enable real-life interactions with native speakers. Various studies have explored the challenges faced by teachers and learners in ESP teaching situations. Therefore, this paper aims to describe the effectiveness of reading authentic materials toward the reading proficiency of psychology department students. The study was conducted at the Psychology Department of Universitas Wijaya Putra. The students participated in 14 meetings, during which the experimental group was exposed to authentic reading materials and the control cluster received streamlined materials, a pre-test and post-test of the reading comprehension test were given to the students. The marks obtained were analyzed using SPPS and the students were given a set of tasks that included 50 multiple-choice questions and 10 essay questions. The research results revealed that the mean deviation score for the experimental group was 80, while it was 65 for the control group. Consequently. This provides evidence supporting the acceptance of the hypothesis, indicating an improvement in student performance after receiving the treatment. Specifically, the results revealed that exposure to authentic materials improved the reading proficiency of psychology department students
Ransomware Attacks in the Healthcare Industry

This paper explores the growing problem of ransomware attacks in the healthcare industry. It dives deep into the meaning of ransomware attacks and the basics of the attack such as how hackers gain access to data through the ransomware. Furthermore, this paper specifically focuses on hospitals and patients that are directly affected by the impact of ransomware attacks. This writing also includes information about noteworthy attacks in the health sector that have caught the attention of people around the world and how they were addressed. An aspect of Bitcoin has been added as cyber criminals demand ransom money in this currency from their victims. Lastly, this paper mentions steps that can be taken by hospitals to reduce the risk of getting infected by ransomware or what to do during a ransomware attack, such as having preventative safety measures in place with the use of antivirus software and Artificial Intelligence security systems as well has having a response plan during an attack. Apart from the Information Technology team in hospitals practicing these preventative measures, businesses and individuals should put in the time to implement these precautionary steps to ensure that they aren’t victims of ransomware attacks and that no one can gain access to any of their classified information. This paper was written by the researcher in a limited amount of time and the researcher was not able to conduct any of their own trials. Hence, all the information and data included has been previously collected from researchers around the world.
Metaverse: A Promising Future for the Tourism Industry and MSMEs Post-Covid-19 Pandemic

This study begins by explaining the tourism industry during and after COVID-19 and explaining the metaverse concept, including how it transforms the tourism industry and MSMEs. This study proposes a literature method to provide a rationale for the issue. The data was collected mainly through written evidence such as documents, journal articles, scholarly books, research reports, and online websites. Then the content analysis was used for analysing the data. Despite research’s expansion on metaverse attributes, the notion of metaverse related to the tourism industry and MSMEs need to be observed more. This study notes that the use of metaverse in the tourism industry and MSMEs has many benefits. It revolutionises the tourism industry and offers new sales channel for small business owners.
Modified Idea Listing Technique with Flash Card to Increase Students’ Writing Ability towards EFL Learners

The aim of this study was to find out the significant difference in modified the idea listing technique (ILT) with flash card toward the students’ writing ability. The quantitative research would be conducted in this research and the participants would be focused in the eighth grade of MTs Raudhotul Jannah, Central Lampung. The data would be gained by contributing the pre-test and post- test. Then, to collect the data, it was analyzed by using SPSS version 25.0. The data was analyzed by using paired samples T-test. The result showed that mean of post-test is higher than pre-test and two tail significance is .000 which is lower than α = .05 (p = .000 &lt; α = .05). As a result, the hypothesis is accepted. It is revealed that the modified ILT with flash card is one of the factors which influences the students’ writing ability. Therefore, the result of this research showed that by using modified ILT with flash card, it was more significant differences in teaching writing ability. Furthermore, the writing aspects of modified ILT can increase in students’ writing ability. So, it can be concluded that modified ILT with flash card can increase the students’ writing ability.
RELASI TRIKOTOMI SEMIOTIKA DALAM CERPEN BABY BLUES KARYA POPPY TRISNAYANTI PUSPITASARI

The short story "Baby Blues" by Poppy Trisnayanti Puspitasari is a thriller genre with a combination of psychological science. This short story describes the impact of the mental problems of a mother affected by Baby Blues syndrome. The phenomenon of Baby Blues syndrome is very common among young mothers who have just given birth to their first child. There are several phenomena contained in the short story "Baby Blues" by Poppy Trisnayanti Puspitasari which are signs of disturbed mental health. This research uses an inductive qualitative approach, which means developing concepts based on existing data. The explanation in this research uses the aesthetic approach analysis put forward by Charles Sanders Pierce in describing signs which include indexes, icons and symbols in the short story "Baby Blues" by Poppy Trisnayanti Puspitasari which ultimately produces a conclusion. The result of this research is a description of signs which include indexes, icons and symbols in the short story "Baby Blues" by Poppy Trisnayanti Puspitasari. For example, indexes, icons, and symbols the signs obtained predominantly perceive markers of mental health.&#x0D;
Food Sales Prediction Using MLP, RANSAC, and Bagging

Many datasets about food sales, these datasets contain different features depending on the data present. Also, the way these features are correlated differs from one dataset to another. The researchers used several artificial intelligence algorithms and applied them to food sales datasets. Despite the necessary pre-processing and cleaning of the datasets, some of the algorithms used in these studies did not give the desired results. Therefore, this study proposes a model based on two objectives, the first objective is to make a comparison between three different food sales datasets. the second objective is to apply three various Artificial Intelligence algorithms to obtain the best algorithm that gives the highest prediction accuracy with the specified dataset. Some studies used classical machine learning algorithms, some used deep learning algorithms, and others used ensemble techniques. To achieve a comprehensive comparison, one algorithm was chosen from each of the above. To measure the correlation between features used a tool available from the Seaborn library in Python. This tool is called a “Heatmap”. For comparison, used three datasets on which we performed the necessary preprocessing operations, after applying three algorithms, these algorithms are Multilayer perceptron, RANSAC, and Bagging regression. Then used several metrics to measure the accuracy of the algorithm applied to the specified dataset. Finally, identified the best dataset that gives excellent prediction results with these algorithms. The results showed that the first dataset gave ideal accuracy by using the Bagging regression algorithm, unlike the second dataset with medium correlation and the third dataset with weak correlation. This study lays the foundation for subsequent studies and saves them time in terms of choosing the datasets.
Scientific Explanation from the Viewpoint of Computational Cognitive Science

This paper introduces the process of explanation in computational cognitive science, which involves elucidating why phenomena or events occur within the framework of causal relationships. It highlights the similarity between everyday explanations and scientific explanations when examined through the lens of cognitive processes, noting that scientific explanations are more systematic, rigorous, and precise.&#x0D; The three crucial stages of explanation discussed are firstly gathering information to provision the system's structure, secondly generating hypotheses to advance the explanation, and thirdly evaluating competitive hypotheses or explanations. The paper goes on to introduce the computational implementation of cognitive science frameworks for scientific explanation through deductive, probabilistic, and neural network approaches.&#x0D; In the deductive approach, the discussion revolves around Hempel's (1965, 1966) explanatory model, illustrating its simulation as a rule-based system when given laws and conditions. The probabilistic approach, primarily utilizing Bayesian networks, is shown to involve tasks such as generating hypotheses and assessing suitable hypotheses through conditional probabilities. Similarly, the neural network theoretical approach demonstrates that hypothesis generation or explanation through identifying causes can occur through the interaction of neural cells.&#x0D; Notably, one significant advantage of neural network theory is its ability to perform abductive inference or hypothesis generation not only based on linguistic expressions but also by accepting visual, emotional, and non-linguistic information as inputs and producing non-linguistic outputs. This advantage is ultimately seen as the ability to accommodate a variety of expression forms, termed as a "multi-modal mode."
A study on development of a storytelling-based empathy education program to improve community spirit and empathy: Focusing on preservice teachers

This study develops a storytelling-based empathy education program to improve community spirit and empathy and examines its effectiveness by applying it to prospective teachers. The collected data included questionnaires, reflection diaries, interview data, literature and case analysis were conducted to develop the program. In addition, a paired-sample t-test was conducted to confirm pre- and post-differences in sense of community and empathy. As a result of the study, first, a storytelling-based empathy education program was developed to improve community spirit and empathy ability. Second, the sense of community and empathy of prospective teachers showed a significant difference in the pre- and post-test, showing a positive effects. Therefore, this study suggests that a storytelling-based empathy education program to improve prospective teachers' sense of community and empathy can be effectively used in universities. Therefore, it was proposed to operate a storytelling-based empathy education program not only in the teaching subjects of university teacher training courses, but also in various academic areas such as various major subjects, non-curriculum subjects, and liberal arts education.
The Influence of Time Pressure on Creativity: Exploring the Effects of Achievement Anxiety and Gender

This study aims to investigate the influence of time pressure on creativity, considering the mediating effect of achievement anxiety and the potential moderating role of gender. The participants included 158 university students from K City. Data analysis involved the use of SPSS 22.0 and PROCESS Macro to examine both the mediating effect and moderated mediating effect. The findings revealed several key insights. Firstly, among the factors of achievement anxiety, facilitation anxiety was found to mediate the relationship between time pressure and creativity. However, gender did not demonstrate a moderating effect in this context. Secondly, disturbance anxiety did not mediate the relationship between time pressure and creativity, and gender did not exhibit a moderating role. Lastly, the combined model incorporating achievement anxiety demonstrated significant main effects of time pressure on both creativity and achievement anxiety. Higher levels of perceived time pressure were associated with increased achievement anxiety, ultimately leading to improved creativity. However, no significant gender-specific effects were observed, except for facilitation anxiety. This suggests that when performing creative tasks, time pressure and facilitation anxiety can increase creative potential by providing challenges and opportunities. Therefore, in creative education, it is implied that not only cognitive skills but also the individual characteristics and psychological environment of learners should be carefully considered.
Analysis of illusion in the use and effect judgment of learning strategies of over- and under-predictors through Bayesian inference

The purpose of this study is to analyze the tendency of over- and under-prediction in the context of predicting test scores, and what learning strategies are used a lot by over-predictors(OPs) and how they judge their effects through conditional probability. 74 undergraduate students selected the three most frequently used and effective learning strategies respectively from the 10 strategies. 72% of students overestimated the test score, which was strong enough to reach 29% even in the fourth-tier students with the highest actual score. The mean difference is significant(t=5.06, p&lt;.001). In the conditional probability of strategies most used and judged to be effective by two types of predictors, the 'low' strategy is judged to be less effective than the high degree of use, and the 'high' strategy shows the opposite illusion. However, although the conditional probability of use differs greatly between the 'high' and 'low', the conditional probability of effect does not differ significantly. In the rate of up and down between the prior and the posterior probability, the OP has a lower posterior than the prior in both the use and effect judgment. In other words, it means that the percentage of all students who use (or judge that it is effective) is higher than that of the OPs. This was the same as 'distributed practice', and the conditional probability of use and effect of 'retrieval practice' only is slightly higher than that of all students. Contrary to expectations in the degree of use and effect judgment of the 'low' strategy, it was confirmed that students' illusion of the 'low' strategy was very serious through a Bayesian reasoning.
Analisa Usability Pada Aplikasi Identitas Kependudukan Digital Menggunakan Metode Usability Testing

The digital population application is an application managed by the Directorate General of Population and Civil Registration under the Ministry of Home Affairs. This application serves to convert physical documents into digital format, making them accessible anywhere using smartphones. The existence of this digital population application is expected to facilitate the process of managing population documents. However, some users have expressed complaints about the digital population application, including interface issues and system problems. Based on these issues, a usability analysis is needed to assess effectiveness, efficiency, and customer satisfaction. The method used for the analysis is Usability Testing, which employs two techniques: performance measurement to assess effectiveness and efficiency, and Retrospective Think Aloud technique to evaluate customer satisfaction. Through Usability Testing, it has been found that the digital population application scored below the minimum value for the effectiveness aspect, while the efficiency aspect obtained a score that meets the standard. As for customer satisfaction, the results from the questionnaire indicate an optimal outcome.
Design and Implementation of a Web-Based Application for Media and Laboratory Reagents Management with QR Code Feature

Planning needs, purchasing, determining the availability of practical materials, and keeping an eye on the state of the actual or real amount are the first steps in practical material management operations. This task is completed to ensure the accuracy of the bookkeeping records in order to reduce variations in inventory levels. The Department of Medical Laboratory Technology still uses a manual approach to record the inventory of practice materials. Handwriting is still used in the stock book for traditional procedures including the process of counting arriving and exiting products and calculating physical inventory items. The goal of the study is to manage media practice materials and QR Code-based laboratory reagents as efficiently as possible. This procedure consists of a set of stock-taking tasks that are frequently seen in laboratories. Inventories for laboratory equipment are managed using an inventory information system called https://silatlam.online. The system's use demonstrates the efficiency and precision with which data on laboratory equipment is recorded in order for the leadership to make decisions regarding the proper quantity of teaching and learning aids to be purchased. Users can more easily conduct stock-taking activities for media and reagent practicum materials thanks to research findings that were used to develop a website-based information system for managing those materials at https://bhp-tlm.poltekkesjakarta3.sch.id. The unique feature of this system is the direct smartphone connection of the notification, which makes it simpler for users to keep track of inventory flow.