Reviewerly/exHarmony huggingface dataset:
Binary Opposition Found in the Characterization of Lemony Snicket’s Ersatz Elevator Novel

This study aims to analyze the characterization of the characters in Lemony Snicket’s Ersatz Elevator novel. The found characterizations were then later categorized and sorted so that it could be contrasted and formed into a binary opposition. Binary opposition is chosen to analyze the novel because of the children's literature’s nature of contrasting the characters. The primary data were taken from the novel in the form of dialogues and narrations while the secondary data were taken from the various sources that were deemed to support the study. The data found in the novel were then identified, classified, and reduced. This study was finished with two results. The first result is the characterization found in characters are; greedy, grateful, indifferent, caring, coward, and brave. The second result deals with the binary opposition. The pairs found in the novel are greedy – grateful, indifferent – caring, and coward – brave. After thorough interpretation and analysis, the study shows that there is a power imbalance between in between the adult and the children characters as they have opposite traits with each other along with their responsibilities as their respected roles. The power imbalance shown in the characters are made more prominent by how the children are portrayed to be the hero by the author while the adults are portrayed to be reckless.
INTEGER SOLUTION ANALYSIS FOR A DIOPHANTINE EQUATION WITH EXPONENTIALS

The exponential Diophantine equation is one of the distinctive types of Diophantine equations where the variables are expressed as exponents. For these equations, considerable excellent research has already been done. In this study, we try to solve the equations 3λ + 103μ = ξ2, 3λ + 181μ = ξ2, 3λ + 193μ = ξ2.
Genesis and Predictive Ability of Ecosystem Approach in Education

The landscape of education is progressively diversifying, characterized by an influx of various new participants, products, technologies, and institutional configurations. The concept of a comprehensive educational ecosystem is increasingly invoked. Yet, our understanding of the educational ecosystem phenomenon remains fragmented and lacking structure. This limitation poses obstacles to both engaging in a scholarly discourse and fully harnessing the predictive potential inherent in the ecosystem approach. The objective of this article is to delineate the practices involving interaction, knowledge exchange, and the diffusion of innovation among participants and strata within the educational realm. These practices serve as the foundation for the processes underpinning its development and transformation, culminating in the educational sphere acquiring ecosystemic attributes. This paper contributes to the conceptualization of an educational ecosystem founded upon the principles of an open and dynamic social system. It emphasizes the coevolution of stakeholders, a high degree of resource and competency complementarity, and collaborative competition in the creation of novel educational products. We expound upon the evolutionary origins of the educational ecosystem concept, attributing its development to the emergence of new actors and the expansion of communication capabilities for information dissemination and interactive linkages.We also underscore the continuity of the educational ecosystem concept concerning the triple, quadruple, and five helix models. Consequently, we propose a methodology for applying the ecosystem approach to conduct foresight studies and engage in co-design endeavors aimed at realizing the Sustainable Development Goals within the realm of education. This methodology aligns with the foundational principles articulated in the UN Sustainable Development Goals for Education until 2030 (Strategic Development Goal 4 - SDG4). The ecosystem approach is harnessed in the selection of source materials, the interpretation of prospective indicators, and the description of foresight subjects. In doing so, we affirm the predictive capacity of the ecosystem approach in modeling novel forms of stakeholder interactions, delineating the coevolution of social, economic, technological, and cultural trajectories, and identifying equitable and collectively significant priorities for the advancement of the educational milieu.
ANALYSIS ON PATH OPTIMIZATION OF AGRICULTURAL HANDLING ROBOTS BASED ON ANT COLONY-IMPROVED ARTIFICIAL POTENTIAL FIELD METHOD

Aiming at the problems of low efficiency and slow function convergence of the ant colony algorithm in path planning of agricultural transport robots, a fusion algorithm combined with the artificial potential field method was proposed. Firstly, the function of each parameter was analyzed according to the mathematical model of the traditional ant colony algorithm, followed by the simulation analysis of the optimal parameters through grid map modeling in MATLAB and data recording. Secondly, the deficiency of the classical artificial potential field method in agriculture, i.e., it could not arrive at the endpoint or realize local locking, was improved by introducing the intermediate point and the relative distance of the target. Finally, the features of the two algorithms were combined and the improved artificial potential field method was integrated with the traditional ant colony algorithm so that the improved artificial potential field method could play a dominant role in the initial path planning stage of agricultural transport robots while the ant colony algorithm exerted the main effect in the later stage with the increase in the pheromone concentration. It was verified through simulation analysis, it was verified that the fusion algorithm of ant colony algorithm and improved artificial potential field method outperforms traditional ant colony algorithm in terms of farthest path, optimal path, running time, and iteration number.
CYBER SECURITY AND TOURISM: BIBLIOMETRIC ANALYSIS

The topic of cyber security in tourism is of particular importance since tourists in foreign countries are one of the most vulnerable groups due to a lack of knowledge of languages, laws, etc. With the increase in the number of technologies that enable interactivity, contactless payments, i.e., informative content for tourists, risks for the security of tourists' data as well as risks related to the theft of data on tourists' bank cards are emerging. In order to identify the current knowledge, i.e., the current situation in the context of research on cyber security in tourism, a bibliometric analysis was conducted, which indicated that an insufficient number of authors research cyber security and that there is not a sufficient number of studies that would analyze the mechanisms and measures of increasing cyber security in tourism. The importance of researching cyber security in tourism is based on the fact that tourism is a particularly vulnerable and sensitive branch of the economy to risks that affect tourists as such, and that it can depend on the reputation of the country, institutions, or hotels. The bibliometric analysis conducted in this paper is significant for future researchers considering that it can serve as a basis for researchers' focus on specific areas of cyber security.
An Analysis of Room Reservation Practice Learning Obstacle for Students in The Second Diploma of Accommodation at The Community Academy of MAPINDO

Room Reservation practice is one of the courses that aims to prepare students so that they have the competenceto handle room requests, process bookings, and archive the history of room bookings. Learning in the practiceof booking rooms uses the role play method, where students act as reservation agents and others as guestswith the material being Room Reservation procedures via telephone operator. However, in the learningprocess, there are several obstacles in learning that hinder the achievement of the objectives of the learningoutcomes. The purpose of this research is to analyze the types of difficulties experienced by students along withthe factors that cause them as well as the efforts made by students to overcome these obstacles so that learningabout the practice of booking rooms can run in accordance with the stated objectives. The research methodused is a qualitative method, collecting data through observation, distributing questionnaires, interviews anddocumentation. Respondents in this study were 29 students, selected purposively (purposive sampling),namely students who had experiences in practical learning process for booking rooms. Analysis techniques usequalitative data. The research results show that students have difficulty recording guest payment methods,allocating rooms, providing room rates, and filling in reservation charts. The causal factors are divided intointernal factor (such us: lack pf confidence, and language barriers) and external factor (lak of facilities and timeallocating). The efforts made by students are to study again and practice a lot of role plays, as well as lookingfor references from other sources.Keywords: Barriers, Learning, Front Office Practice, Front Office Practice
Increase Sales For The Best Seed Clustering Using Rapid Miner

The superiority of seeds is one of the main factors for farmers. UD. Tiara Bersaudara is a shop that sells seeds and agricultural needs. Poor sales of seeds and fertilizers can hurt UD. Tiara Brothers. To maintain the stock of seeds that are in demand by farmers, sellers must be able to analyze data on the sale of seeds that are in great demand by farmers so as not to cause losses in business. This process is difficult for UD Tiara Brothers to do because it has a lot of sales data. Existing problems can be solved by clustering seed sales data according to most farmers' interests. Clustering is the grouping of data into several clusters based on the level of data similarity. The purpose of the study was to group the best-selling seed data at UD. Tiara Brothers in increasing sales. The clustering method uses the K-Means algorithm by partitioning data into clusters based on the centroid closest to the data. Furthermore, testing by comparing the calculation results with RapidMiner studio software 9.7. The results of this study can later be used as a benchmark for decision support by UD. Tiara Brothers to set marketing strategies for increasing sales.
Sentiment Analysis of Twitter Discussions on Rafael Alun: Multinomial Naïve Bayes and Decision Tree Approach

Political events in Indonesia often draw significant attention on the social media platform Twitter, with netizens using the medium to express their opinions and feelings. One such viral topic on Twitter revolves around Rafael Alun, a former Director General of Taxation at the Indonesian Ministry of Finance who has been implicated in a possible gratification scandal and subsequently investigated by the Corruption Eradication Commission (KPK). As a result, Rafael Alun's name has been trending on Twitter. By using sentiment analysis, it is possible to identify the prevailing sentiment elements within tweets related to Rafael Alun. The application of Multinomial Naïve Bayes and Decision Tree algorithms serves to determine the accuracy of sentiment analysis results derived from Twitter tweets data. The research process involves steps such as data pre-processing, data processing, classification and evaluation. The sentiment analysis of tweets containing the mention of "Rafael Alun" shows that the majority of the tweets express a negative sentiment. The accuracy rates obtained by implementing the Multinomial Naïve Bayes and Decision Tree algorithms are 77% and 72% respectively. It is worth noting that these percentages are relatively moderate due to the unbalanced distribution of positive, negative and neutral sentiments on the topic.
Twitter Sentiment Analysis for Exploring Public Opinion on the Merdeka Belajar-Kampus Merdeka (MBKM) 2023 with the Naïve Bayes Classifier Algorithm

The Merdeka Belajar-Kampus Merdeka (MBKM) as one of the public policies by the Ministry of Education, Culture, Research and Technology, cannot be separated from public opinion. Opinion directions are divided into three categories, positive opinion, negative opinion, and neutral opinion. Utilizing tweet data from Twitter with the keyword Merdeka Belajar-Kampus Merdeka (MBKM) in May 2023, a sentiment analysis was carried out to identify public opinion on the Merdeka Belajar-Kampus Merdeka (MBKM) program. Through this research, it is hoped that opinions, opinion factors, and problems that may arise from the implementation of the Merdeka Belajar-Kampus Merdeka (MBKM) policy can be identified as early as possible. The Naïve Bayes Classifier is used to classify the direction of a person's sentiment towards the Merdeka Belajar-Kampus Merdeka (MBKM), both positive sentiment, neutral sentiment, and negative sentiment. Dataset collection and preparation begins with feature selection, eliminating duplication and tweet selection, then pre-processing is carried out, namely case folding, tokenizing, character cleaning, normalization to stemming for use in labeling. Of the 1,212 data used, the model managed to classify 453 sentiments as neutral, 477 negative sentiments, and 282 positive sentiments. With these results, information is obtained that the community still has many pros and cons regarding the implementation of the Merdeka Belajar-Kampus Merdeka (MBKM) program. In this study, from the results of Twitter sentiment analysis on the Merdeka Belajar-Kampus Merdeka (MBKM) program, the Naïve Bayes Classifier algorithm produces an accuracy value of 74.25%.
Stock Price Prediction of PT. Jasa Marga (Persero) Tbk Using Linear Regression Algorithm

The Covid-19 pandemic that has occurred throughout the world has resulted in crises in various sectors, one of which is also affecting the economic sector. This has affected the movement of the index on several stocks listed on the Indonesian Stock Exchange (IDX). During the Covid-19 pandemic, stock price movements were very random with significant increases and decreases. Therefore, it is necessary to predict stock prices that can help investors to see investment prospects in the future. In this study, stock predictions from PT Jasa Marga (Persero) Tbk will be carried out using the Linear Regression algorithm. The linear regression method is usually used to make predictions by measuring the correlation between two or more variables. Historical data on the shares of PT Jasa Marga (Persero) Tbk used in this test were obtained from finance.yahoo.com from 2017-2023. The results of this study indicate that using the linear regression algorithm can predict prices with an RMSE value of 216.379.
PROFESSIONAL SPIRITUALITY IN EDUCATION: THE FORMATION OF VALUES AMONG STUDENTS

The article is devoted to the study of the formation of professional spirituality in the educational process with an emphasis on the development of values among students. The author analyzes the influence of the educational environment on the formation of the spiritual aspects of students' professional and personal identity. The article discusses methods and approaches to the implementation of values related to professional ethics, responsibility and social interaction in educational programs. The practicalaspects of integrating ethical standards into the educational process and methods for evaluating the effectiveness of this approach are also discussed. The research is aimed at ensuring the sustainable and harmonious development of students, the formationof their professional values that contribute to the creation of a more ethical and responsible society.
INNOVATIVE SUSTAINABILITY IN AN EMERGING ECONOMY: NIGERIA’S ECONOMIC DIVERSIFICATION AND HISTORY WITH DEVELOPMENT GOALS

Nigeria’s emerging economy has gone through a number of phases and dependencies since independence in 1960 and is currently Africa’s largest economy. The majority of government revenue comes from oil but the oil economy presents a lot of challenges not least from a sustainability perspective. Partly to address some of these challenges, Nigeria has also gone through various internal and global development programmes including the Millennium Development Goals and currently the Sustainable Development Goals – with varying degrees of performance recorded. This study systematically reviews Nigeria’s history with these targets and makes economic diversification recommendations based on the findings. Specifically, the study uniquely and chronologically evaluates the evolution history of the Nigerian economy and for the first time, presents a much-needed analysis of rapid diversification potentials for Nigeria underpinned by an established and innovative sustainability framework.
INTEGRASI FRAMEWORK LARAVEL DALAM PENGEMBANGAN PERANGKAT LUNAK SISTEM SMART PJU BERBASIS INTERNET OF THINGS

This study analyzes the use of Laravel structure in improving Internet of Thing IoT-based Smart Street Lighting software. This research applies the Software Development Life Cycle (SDLC) methodology approach with the waterfall method. The IoT Smart Street Lighting system is the focus in an effort to improve the efficiency of public street lighting. This methodology merger applies the Laravel structure in software development with structured steps. The vetting process begins with defining requirements, user interface (UI) plans, and data management. The execution stage involves applying Laravel for programming as per the framework's prerequisites. Thorough testing ensures functionality, security, and optimal execution. This approach enhances future development capabilities and program quality by combining Laravel technicalities and the waterfall approach, making the Intelligent Street Lighting System more responsive, robust, and efficient based on weather data.
Teacher's strategy in efforts to improve digital literacy skills of children aged 7-8 years

This study aims to explore the strategies of South Jakarta International School teachers in improving the digital literacy skills of students aged 7-8 years. This research uses a qualitative case study method focusing on learning activities, teacher strategies, and challenges teachers face. Research data were obtained from observation, interviews, and documentation. The research data were analyzed using Campbell's pattern matchmaking model. By utilizing BYOD (Bring Your Own Device) policies, teachers provide opportunities for students to access, be responsible, and utilize technology in learning. This policy benefits students, teachers, and schools. Teachers also implement digital literacy strategies to empower students in integrating technology into learning activities. Through digital learning resources teachers provide, students can develop digital literacy skills such as coding, typing, and digital applications. However, the study also found some obstacles, such as technical issues, self-learning, and online communication and security. This study recommends that teachers and students increase effectiveness, creativity, and initiative in the digital literacy learning process by using appropriate digital learning resources and applications. This study also recommends that parents be involved in the child's learning process by providing guidance and supervision, monitoring children's digital footprints regularly and having knowledge about information and digital literacy from various digital sources.&#x0D;
Digital Fatigue: Assessing Burnout In The Virtual Offices Era (Sandwich Generation Viewpoint)

The perspective of the majority of individuals reflects the view that working from home is actually more tiring compared to the experience of working face-to-face. WFH workers are often faced with difficulties in managing and optimizing the use of their time, even though they are physically at home. This research aims to conduct an in-depth evaluation of the impacts that influence digital fatigue experienced by workers in the virtual office era, especially those with Sandwich Generation status. Quantitative methods with the SEM-PLS approach were used with a census sample of 582 respondents. The findings indicate that the digital fatigue experienced by the Sandwich Generation is not influenced by work pressure. This research makes a contribution by placing a focus on sandwich generation workers. This creates novelty because it brings a specific dimension of the sandwich generation into the virtual office context.
Two-way Feedback with the Use of Digital Tools in the Classroom: Effect Size

The students' learning outcomes strongly correlate with the level of feedback in the educational process. However, the analysis of the educational practice shows that the feedback provided in the modern educational process is not perfect. The aim of this research was to identify the two-way feedback mechanism, which can be used in the classroom at the stage of consolidating the material, and to evaluate its effectiveness. The research used the following methods: literature analysis and study of teaching experience, which helped to identify the most effective way to provide feedback in the lesson; a pedagogical experiment during which the feedback mechanism was tested at the consolidation stage in the lesson; diagnostic tests with subsequent statistical processing, which made it possible to judge the effectiveness of input feedback; survey, which provided an opportunity to assess whether the feedback mechanism introduced contributed to the self-regulation of educational activities of learners. The article reveals possible ways of implementing feedback in the classroom; develops a feedback mechanism that facilitates visible learning; and identifies the effect size of feedback at the stage of consolidating the material on learning success. The practical implication of the research is that by using the mechanism developed, the teacher and learners are able to make timely adjustments to the teaching and the learning, which contributes to the quality of the educational process and the formation of a visible educational environment.