Reviewerly/exHarmony huggingface dataset:
Improving Helpdesk Chatbot Performance with Term Frequency-Inverse Document Frequency (TF-IDF) and Cosine Similarity Models

Helpdesk chatbots are growing in popularity due to their ability to provide help and answers to user questions quickly and effectively. Chatbot development poses several challenges, including enhancing accuracy in understanding user queries and providing relevant responses while improving problem-solving efficiency. In this research, we aim to enhance the accuracy and efficiency of the Helpdesk Chatbot by implementing the Term Frequency-Inverse Document Frequency (TF-IDF) model and the Cosine Similarity algorithm. The TF-IDF model is a method used to measure the frequency of words in a document and their occurrence in the entire document collection, while the Cosine Similarity algorithm is used to measure the similarity between two documents. After implementing and testing TF-IDF and Cosine Similarity models in the Helpdesk Chatbot, we achieved a 75% question recognition rate. To increase accuracy and precision, it is necessary to increase the knowledge dataset and improve pre-processing, especially in recognition and correct inaccurate spelling
Mitigating Cloud Computing Virtualization Performance Problems with an Upgraded Logical Convergence Strategy

&lt;p&gt;In the domain of cloud computing and network resource virtualization, existing fusion techniques for containers and virtual machines suffer from high energy consumption, inflexible scheduling requirements, and suboptimal resource utilization. This study critically examined the current methods, accounted for the contemporary requirements, and developed a novel strategy aimed at maximizing resource utilization while minimizing energy consumption. Comprehensive experiments illustrate the superiority of our approach over state-of-the-art fusion strategies such as Kubernetes+Kubevirt and OpenStack+Kubernetes, demonstrating significant reductions in energy consumption, improved resource utilization, and enhanced system performance.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
SECUBE'S ROLE IN IMPLEMENTING BUSINESS CONTINUITY PLANS (BCM) IN VARIOUS INDUSTRIES

This article explores SeCube's role in implementing Business Continuity Management (BCM) across various industries. SeCube, a versatile information security management system, offers tools and functionalities critical for developing, maintaining, and testing business continuity plans. The discussion includes SeCube’s capabilities in risk assessment, incident management, recovery planning, and compliance with industry-specific regulations. The article aims to provide insights into how SeCube enhances the resilience of businesses by ensuring continuity and rapid recovery in the face of disruptions.
Extent to which Technology books and School Programming for Elementary Classes (5 - 10) Contain Digital Citizenship Skills and the Student’s Level of its Acquisition

Background and problem of study: Considering digital revolution and technology development, digital citizenship became an important skill to students today. Digital citizenship refers to ability to use and employ technology responsibly in accordance with ethical controls, considering its effects on social, cultural and economic factors. Objectives: The research aims to determine digital citizenship skills, extent to which technology and school programming textbooks for grades (5-10) include those skills, and level of students’ acquisition. Methods: Descriptive approach used, where a content analysis card and questionnaire prepared to examine eleventh-grade students’ acquisition of digital citizenship for a sample of (399) male and female students from scientific and literary branch of Directorate of Education in Gaza. Results: Digital citizenship standards were identified, respect, knowledge, culture, and protection. The study concluded that the level of eleventh grade students’ acquisition of digital citizenship skills within technology and programming books (5-10) was acceptable with relative weight of (68.28%). Digital literacy dimension ranked first with weight of (42.49%). E-commerce dimension came last with a weight of (11.83%). Results revealed no statistically differences in acquisition of digital citizenship skills within technology and programming books for basic grades, which was attributed to variables of gender and academic branch. Conclusions (Recommendations and contributions): The study recommended the need to adopt a vision focusing on enriching textbooks at all educational levels with skills for using technology and programming to enhance digital citizenship skills among students before completing basic education, focusing on dimensions of e-commerce, digital health, safety, digital rights and responsibilities.
Prospects for gamification: analysis of students’ perception of the game’s image

Game is one of the most multifaceted phenomena in human life. It comes in many forms, uses a variety of capabilities, and can serve as a tool to achieve a variety of goals. Thus, the games can be used to solve problems in many areas: from pedagogy to business, from science to art. Each type of game requires players to have a certain level of proficiency in various skills. This contributes to the development of human cognitive and social functions and has certain characteristics. The popularity of gaming technologies in education continues to rise. The introduction of online formats has also contributed to the growth and use of interactive multimedia technologies. Gamification in education is an approach that uses game elements and mechanics to increase student motivation and engagement in learning. This scientific article reviews the concept of a game and analyzes the perception of the image of a game by students and schoolchildren in the context of learning. The study shows that gamification can significantly increase student engagement and motivation. This, in turn, has a positive impact on the quality of learning. The results of focus groups conducted using drawing techniques demonstrate that the image of the game is well perceived by schoolchildren and students and creates a favorable environment for active participation in the learning process. Based on this, the authors of the article propose to use gamification as an effective learning tool that helps increase motivation, self-organization and self-regulation of students. Analysis of the perception of the image of the game by students indicates the promise of using gamification in education. This approach can be an effective tool for the modern educational process, promoting the active involvement of students, increasing their motivation and achieving better educational results.
Implementasi Algoritma CNN dalam Identifikasi Infeksi Jamur Superfisialis

Mushrooms, as eukaryotic organisms that dominate the kingdom Fungi, play a crucial role as decomposers of organic matter in ecosystems. The diversity of mushrooms encompasses a variety of species, ranging from microscopic to macroscopic, widely distributed in various environments. Superficial fungal infections, or superficial mycoses, focus on fungal infections limited to the surface of the skin, nails, or hair. Such infections are typically localized, not penetrating deep into tissues and remain primarily a local condition. In the context of this study, the optimal model developed through training successfully achieved a validation accuracy of 92.590% and a training accuracy of 88.933%. Evaluation results indicate a precision value of 94%, a recall value of 93%, and an F1-score value of 92%. These findings highlight the success of the model in classifying and evaluating superficial fungal infections with high precision.
Evaluation System for the Reading Al-Quran Private Program Using the Iqra Method

This evaluation study aims to determine the quality and output of the Private Program for Reading Al-Quran using the Iqra Method to eliminate illiteracy in Reading Al-Quran for Santri at Dayah Ummul Ayman Aceh. The method used in descriptive quantitative research. The data taken is primary data. The data source comes from questionnaires filled out by research subjects. This research is evaluation research using the Quality Evaluation Model and Learning Output, better known as the EKOP Model. This research was conducted at the Private Program for Reading Al-Quran using the Iqra Method at Dayah Ummul Ayman, Putoh Village, Samalanga District, Bireuen Regency, Aceh Province in June 2023 with a sample of 45 santri (N = 45). Data collection using tests and questionnaires. Data were analyzed with descriptive statistical techniques using IBM SPSS Statistics 25 software. The results of the study found that the quality of learning in the private program of reading Al-Quran with the Iqra method at Dayah Ummul Ayman had gone well. However, Learning Facilities are still in the Adequate category. The Learning Output in the Private Program Reading Al-Quran with the Iqra Method at Dayah Ummul Ayman in terms of Academic Proficiency has achieved a fairly high score. However, the Learning Output on the Personal and Social Proficiency indicators is still in the Adequate category. The recommendations for improvement given are to improve learning facilities better. In addition, learning output in the context of personal skills and social skills must also be improved.
Implementation of Apriori Algorithm for Determining Spare Parts Product Recommendation Packages

The aim of this research is to determine recommended product packages for spare parts from an automotive parts supplier. Shop owners have faced challenges in meeting customer demands over the past few months, experiencing frequent stockouts of spare parts due to a manual transaction recording system and a manual checking system for spare parts storage. This inefficiency and lack of accuracy in managing in-demand spare parts prompted the application of the apriori algorithm, a data mining method. Data was collected from the total sales over the past three months, subsequently cleaned and transformed for manual and Python-based apriori calculations. The results, obtained through both manual and Python implementations of apriori, indicate that the two frequently occurring item sets are oil filters with a confidence value of 68% and air filters with a confidence value of 63%. Based on these findings, the study recommends spare parts stores to maintain higher stock levels of oil filters and air filters compared to other spare parts.
Assessing the Quality of Health Content on Arabic Digital Platforms: Insights from Healthcare Professionals and the Public

Fundamentally, human well-being serves as the bedrock upon which individuals can lead enriching lives and contribute positively to their communities and the global society. Most industries across the board employ social media to disseminate their offerings and facilitate customer engagement. This has also found its way into the healthcare sector, with numerous websites and social media platforms. These platforms host a wealth of health-related information and empower the public to seek out health insights that pique their interest. Given the vital nature of the healthcare sector, it becomes imperative to disseminate health information with censorship and ensure continuous monitoring and updates.&#x0D; This study endeavors to explore the assessment of healthcare sector professionals, encompassing doctors, medical students, nurses, and other healthcare professionals. Additionally, it seeks to gauge the opinions of the public who frequent these online platforms. The evaluation was conducted based on various criteria derived from prior research, employing a questionnaire methodology to gather the necessary feedback. The outcomes of the evaluation yielded positive results in both participant categories. However, it is important to acknowledge that this evaluation does not include all healthcare platforms or all inquiries. This underscores the urgent need to establish controls, as stated in the study's concluding observations.
Analisis Sentimen Ulasan Pada Aplikasi E-Commerce Shopee Dengan Menggunakan Algoritma Naïve Bayes

Every year, the e-commerce industry in Indonesia grows and develops at a rapid pace. In Indonesia, many online marketplaces have sprung up, including Tokopedia, Lazada, and Shopee. People are very interested in all e-commerce companies because they are hassle-free and instant. Among the most famous is Shopee, which offers a wide range of services and also presents a ratings and reviews column. This feature allows users to express their feelings about Shopee. Based on the information gathered from previous user comments, consumers can use these ratings to identify and trust both excellent and negative recommendations of the app they want to use. Sentiment analysis results include both favorable and negative user reviews by scoring, classifying, and filtering viewpoints to help businesses or users. The author uses the naïve bayes algorithm in this research. The Naïve Bayes Classifier approach will be used in this research to perform sentiment classification. The author then uses associations between frequently discussed word terms or themes that are related to each other for the extraction and exploration process, as well as descriptive statistics. Naïve Bayes Classifier is a binary classification technique that applies Bayesian principles with a strong assumption of independence, utilizing simple statistical probabilities.
PERANCANGAN SISTEM INFORMASI PENGELOLAAN DATA WARGA SEBAGAI IMPLEMENTASI KONSEP PAPERLESS DAN TRANSFORMASI DIGITAL

The concept of Paperless or reducing the use of paper and digital transformation is a form of utilizing environmentally friendly technology, this will have a wider impact when applied to an information system at the RT (neighborhood unit) level. This is what inspired the author to conduct a study entitled Design of Citizen Data Management Information Systems as the Implementation of the Paperless Concept and Digital Transformation. The data collection method is done through observation, interviews and references from secondary data, the system development model chosen by the author is the Software Development Life Cycle Waterfall. The citizen data management information system developed by this author is not only useful in assisting the management of citizen data at the RT level, especially because of time efficiency when compared to conventional systems which require residents to meet with the head of the RT. This information system will also have a positive impact on the environment because this information system applies the concept of paperless and digital transformation so that it is environmentally friendly.
RANCANG BANGUN LEARNING MANAGEMENT SYSTEM, STUDI KASUS: SMK WIPAMA CIKUPA

This study aims to design and develop an effective and efficient learning media at Wipama Cikupa Vocational School, because this Vocational School faces obstacles in terms of limited classroom space and learning time which is divided into two shifts. To overcome this problem, the development of an LMS (Learning Management System) was implemented as a solution to provide learning without distance, place and time limitations. E-learning was chosen as the main approach in this research, because of its flexibility, self-learning ability, and cost efficiency for both administrators and students. The development of this LMS includes the stages of system requirements analysis, user interface design, database design, coding using the PHP programming language, and testing. The development method used is the Waterfall model to ensure planned and systematic development. The testing phase is carried out using a black box approach to ensure compatibility between the system being developed and the desired requirements. The result of this research is the implementation of the LMS (Learning Management System) which allows online learning through a website platform, so that this school can overcome the limitations of classrooms and time, and increase the effectiveness and efficiency of the learning process in this school.
A thorough review of emoji as the emerging communication language

Emoji is a visual language that has appeared as a new and evolving form of communication among individuals across the globe. This research paper concentrates on how emoji became or became the new language of communication and what are its impact on people. This language has become increasingly popular over the last few years due to its versatility, its ability to convey emotions and express complex ideas, and its ability to transcend language barriers. The emergence and popularity of emojis have promoted the idea that images can be just as effective as words in conveying the intended message. However, critics argue that this communication lacks the depth and nuance of traditional written or spoken language. Despite the debate, the use of emoji as a language of communication is growing rapidly, with new emoji sets being created every year. This abstract highlights the importance of understanding the role of emoji being the advanced language of communication, which presents opportunities and challenges to effective communication in this digital age. Emojis are used by millions of people around the world to convey a wide range of emotions, ideas, and messages. They have been embraced by people of all ages and are becoming the new and evolving language of communication. In verbal communication, people rely on expressions, gestures voice’s tone to interpret e meaning. Emojis provide similar visual cues in digital communication
The Perception of Bacolod-Kalawi National High School Teachers towards Distance Learning amid the Pandemic

The study determined the perceptions of teachers at Bacolod-Kalawi National High School towards distance learning amid the pandemic. Distance learning, being one of the flexible learning options approved by the Department of Education, was observed during the school year 2021-2022. This study used descriptive-quantitative research design to describe the profile of the respondents in terms of their perception towards distance learning to ensure valid information and reliable response of the respondents. Qualitative research design was used through semi-structured survey questionnaire as the main instrument in data gathering in securing information on the perceptions and challenges of distance learning by using three open-ended questions relevant to the perception being tackled. In selection of the respondents, thirty-three (33) teacher-respondents of the study were randomly selected from the teachers experiencing and teaching through distance learning at Bacolod-Kalawi National High School. The results indicated that the support of the school administration in the conduct of distance learning played an important role in the performance of the respondents’ duties while giving importance to the quality of instruction, encouraging their learners to make good use of technology, but having to deal with the hidden or unexpected expenses caused by this mode of learning.
PENGEMBANGAN SISTEM INFORMASI CLUB RENANG DENGAN METODE KLASIFIKASI DECISION TREE UNTUK PENENTUAN KELAS PENDAFTARAN BARU

The increase development of information technology has had many impact on various aspects including sports. Management of digitalized sports clubs can make the system more accessible and well documented. The swimming club information system with new registration class classifications is made based on the club requirement. The class determination system was created to facilitate class classification for new members so as not to harm the monthly dues and training portion. The decision tree algorithm is used in making class classification models. Variables for making classifications were obtained based on the number of achievements, 50m freestyle time, mastered style and training distance with three classes namely beginner, semi-achievement and achievement. The classification with C4.5 algorithm, produces an accuracy of 100%. This mean that the C4.5 algorithm can classify new registration classes well.
Developing Contextual-Based Thematic Worksheets to Improve Critical Thinking Skill

This study aims to develop contextually based Student Worksheets that can improve students' critical thinking skills. In addition, this study also aims to meet the needs of students and teachers for contextual-based student worksheets so that they can more easily understand the material and have interesting worksheets to use. This research is development research involving 22 subjects: teachers and grade IV students of SD Inpres Naikoten Kupang. The object of this study is student worksheets based on contextual approaches to improve students' critical thinking skills. Data collection is done through observation, questionnaires, and documentation. The data were analyzed using qualitative and quantitative data analysis. Furthermore, this study applies the ADDIE model, which consists of five stages: analysis, design, development, implementation, and evaluation. The result of this research is a product in the form of contextual-based student worksheets that have been tested for feasibility by material experts, linguists, and media experts. In addition, through student and teacher response tests, it was found that these student worksheets were effective, interesting, and practical to use by research subjects. This research succeeded in developing contextual-based student worksheets to improve students' critical thinking skills. The results showed that these student worksheets were effective and practical to use by teachers and students. Thus, this approach can effectively meet contextual needs in learning and improve students' critical thinking skills.
ADAPTING TEACHING METHODS TO MODERN EDUCATIONAL TRENDS: PEDAGOGICAL ASPECT

This article explores the important problem of adapting teaching methods to modern educational trends, taking into account the pedagogical aspect. With the development of technology and the changing educational needs of students, teachers must constantly improve and adapt teaching methods. The article discusses key aspects of the pedagogical essence of teaching methods, as well as methods and approaches that help make the educational process more relevant and effective. The study includes an analysis of practical examples of adapting teaching methods and recommendations for teachers who want to successfully implement innovations in their teaching activities.
Zotero Training in Improving Student Knowledge and Writing Skills

This study aims to describe the implementation of the Zotero application to increase knowledge and skills in writing papers in class 1A PAI FITK UIN North Sumatra Medan. The approach in this research is qualitative. Data is from observation notes, questionnaire results, and interview notes. Data sources are students as respondents in this study. Data collection techniques are observation, documentation, and unstructured interviews. Data analysis techniques are carried out by condensing data activities, displaying data, and drawing conclusions. The training results show first, application usage training provides benefits in the form of new knowledge for students. This can be seen from the number of students who have never used as many as 39 students after training there. Thirty-six students have practiced how to use the Zotero application. Second, the training activities increased students' writing skills, with indicators of 23 people being quite capable, 13 people capable, and four very capable. Increased knowledge and skills can also be seen from the positive impressions written by students on Google Forms after attending the training. This study concluded that students who previously did not know and could not operate knew and could operate. Reference management training needs to be given to new students for quality scientific writing.