Reviewerly/exHarmony huggingface dataset:
Perancangan Bangun Game Edukasi Sejarah Kemerdekaan Indonesia Menggunakan Model Waterfall Berbasis Android (Studi Kasus Smk Roudhotssallam)

Abstract&#x0D; The advancement of information technology has opened new opportunities in educational approaches. One innovative approach involves leveraging mobile devices, such as Android-based devices, to facilitate interactive learning. The objective of this research is to design and develop an Android-based educational game focusing on Indonesian independence history, particularly tailored for SMK Roudhotssallam students. This study adopts the Waterfall software development model, encompassing phases of requirements analysis, design, implementation, testing, and maintenance. During the requirements analysis phase, an initial survey was conducted to identify students' preferences concerning game content, user interface, and features. Subsequently, in the design phase, visual design, level design, and interaction mechanisms were crafted in line with the Indonesian independence history material. Game development took place during the implementation phase, employing programming languages and the Android Studio platform. Historical material is presented through challenges, puzzles, and quizzes related to significant events during the Indonesian independence struggle. In the testing phase, the game was evaluated by SMK Roudhotssallam students to measure the suitability, attractiveness, and educational effectiveness of the developed game. The outcome of this research is an engaging and interactive educational game that aids students in comprehending Indonesian independence history in a more captivating manner.&#x0D; Keywords: Educational Game, Indonesian Independence History, Waterfall Model, Android, SMK Roudhotssallam.
Exploring Dāna practice through the Shikoku sacred pilgrimage journal

The purpose of this study is to examine the act of Dāna(practice of giving) occurring during the Shikoku pilgrimage through literature from a Buddhist perspective and to explore the changes in pilgrims through this act. The research questions are as follows: Firstly, through the travelogues of Shikoku pilgrimage participants, we aim to examine various Dāna practices taking place in Shikoku and explore the pilgrims' sentiments from a Buddhist perspective. Secondly, we seek to investigate the changes in pilgrims' minds induced by Dāna practices during the pilgrimage. The Shikoku pilgrimage narrative in this study is based on published books and officially serialized documents on the internet. The books referenced include works by Gyeongin Seon, Kim Hyo-seon, Choi Seong-hyun, Choi Sang-hee. Internet sources consulted include pilgrimage narratives by Kim Nam-hee, Park Ji-san, Choi Hyeon-gyeong. The various practice of giving (Dāna) in the Shikoku pilgrimage were classified into material giving (Jae-si), Dharma giving (Beop-si), and fearless giving (Muoe-si) from a Buddhist perspective. The cognitive, emotional, and behavioral changes of pilgrims through acts of giving were comprehensively organized. Through the research, the diverse acts of giving in the Shikoku pilgrimage, performed by givers, pilgrims, and the objects of giving, all embody the pure "selfless giving," characterized by kindness and a heart of blessing without conditions, deeply touching the hearts of pilgrims. This emotional response manifested in various forms, including feelings of strength, joy, happiness, gratitude, positivity, reassurance, gratitude for the fourfold assembly, profound emotional experiences that helped forget pain and relieve stress headaches. The psychological and emotional changes in these pilgrims not only stopped at their own happiness but also led to a reciprocal cycle of giving back to others. The transformation of pilgrims through the giving practice of the Shikoku pilgrimage is expected to contribute to creating a warm society with altruistic characteristics.
Projections in Indenesian Newspapers' Headlines

People cannot attain a communicative goal unless their words address specific cultural or contextual challenges. Thus, language is viewed as a social tool to assist humans in conveying meaning; but, this meaning cannot be obtained if words are conveyed in isolation. As a result, we require contexts or settings in which more phrases and words can be placed in order for listeners or readers to comprehend the meaning behind utterances and words. By applying Halliday’s Systemic Functional Linguistics Theory, this study aims to observe one of three types of meanings, it was ideational meanings. It focuses on language which is used by people in both types of local and regional newspapers to convey information or messages about the experiences of the speakers. Each speaker used different clauses which contained dependent and independent clauses that we call clause complex. To analyze the aspect of projection; Hypotactic Locution, Paratactic Locution, Hypotactic Idea, Paratactic Idea, and Quasi-Projection which were used or appeared in Indonesian newspapers’ story texts. The significance of the study is to improve students’ linguistic knowledge and their writing skill by mastering text structures.
The Impact of Intensifier as Women’s Persuasion Strategy in Politics Vice-Presidential Debate

This study aims to analyze the impact of intensifier as a persuasive language strategy in politics used by Kamala Harris as a female politician in the 2020 vice-presidential debate. The study attaches to the qualitative research method focusing to construe in-depth analysis. Two primary sources are used in data gathering: vice-presidential debate transcription from rev.com and the vice-presidential debate video from NBCNews on YouTube. The methodological approach is the qualitative research method. The theoretical framework used as the main theory of this research is Quirk et. al‘s (1992) intensifier theory and Lakoff's (1975) women’s language features. The result found that there are 95 intensifiers. First, emphasizers (58%) with attitudinal and style disjuncts (46%) and 12%. Second, amplifiers (25%) with maximizers (18%) and boosters (7%). Lastly, downtoners (16%) with compromiser (1%), diminisher (1%), minimizer (7%), and approximator (6%). The most prevalent sort of intensifier used by Kamala and Hillary was the emphasizer attitudinal disjunct, e.g. "Clearly, Actually, Of course, Probably, Certainly, Really" The most prevalent convey varying levels of certainty and uncertainty about what is being conveyed. Additionally, it was discovered that the two female politicians were using these words as part of a persuasive strategy to convince the audience.
Research on Teaching Strategy of "Primary School Music+Educational Drama" with Interdisciplinary Integration

With the continuous development of education concept and teaching environment, teachers have gradually changed from the dominant player to the leader in the teaching process, and students' initiative to explore the answer has become a new direction of teaching. However, problem solving cannot rely on a single knowledge or discipline, the key lies in the comprehensive application of knowledge. How to break the knowledge barrier between disciplines and improve students' comprehensive problem-solving ability has become the key to music teaching. In recent years, the education policies and art curriculum standards issued by the Ministry of Education have begun to mention strengthening discipline coordination and encouraging interdisciplinary integration. The author will first analyze the current situation of interdisciplinary integration of primary school music, analyze the national education policy and the teaching dilemma of first-line music teachers. Secondly, it attempts to construct the teaching principal of "primary school music+educational drama" under the concept of interdisciplinary integration, and clarify the relevant concept definition and teaching concept. Subsequently, the author will analyze the teaching process of "primary school music + educational drama" under the concept of interdisciplinary integration, analyze the feasibility of the implementation of front-line teaching and explore the implementation effect.
Evaluasi penerapan pengendalian intern sistem informasi akuntansi penggajian karyawan outsourcing pada PT Berkat Usaha Anak Sejahtera

This study aims to determine how the application of internal recognition of the payroll accounting information system of outsourcing employees at PT Berkat Usaha Anak Sejahtera. The object of this research is PT Berkat Usaha Anak Sejahtera. This research method uses a qualitative descriptive method by conducting direct interviews with the director, secretary, and field supervisor of PT Berkat Usaha Anak Sejahtera. The data sources of this research are primary data obtained from interviews, observations, and field research. From the results of the research that has been done, it can be concluded that there is a weakness in the payroll accounting information system for outsourcing employees, namely the company does not make or set a payroll SOP (Standard Operating Procedure). There are also weaknesses in the implementation of internal control of the payroll accounting information system where the company does not update the organizational structure, moreover there are dual responsibilities and functions carried out by the director.
Bornean Orangutan Nests Classification using Multiclass SVM

Bornean orangutans are critically endangered, and experts are working to manually spot and classify their nests. This is a challenging task, as it requires a deep understanding of orangutan behavior and their natural habitats. To address this challenge, researchers are developing advanced image analysis techniques that can minimize human intervention. In this paper, we propose a method for classifying orangutan nests using Support Vector Machines (SVMs). SVMs are a powerful machine learning algorithm that has been shown to be effective for image classification. Our method includes a comprehensive image pre-processing and enhancement pipeline, as well as a rigorous training and testing procedure. The results of our study show that SVMs can achieve high accuracy in classifying orangutan nests. We achieved an accuracy of 79.90%, a F1-score of 79.87%, a precision of 79.91%, and a recall of 79.82%. These results demonstrate the effectiveness of our method and the potential of SVMs for this task.
DEExtract: A Customizable Context-Based German Vocabulary Learning Tool

Second language acquisition provides a lot of benefits, including cognitive development and intercultural understanding. We developed a tool to help German language learners, who have different proficiency levels, with vocabulary acquisition in context. The tool can extract and filter a verb vocabulary list from a piece of text according to the user’s proficiency level. Since vocabulary learning is effective in context, we also provide a feature to retrieve a synthetic paragraph using the verbs entered by the user. The synthetic paragraphs are generated using Generative modeling in two different topics namely, Politics and Economy, and at two different language readability levels.
Enhancing Text Summarization: Evaluating Transformer-Based Models and the Role of Large Language Models like ChatGPT

In today’s world, as a substantial amount of textual data is generated, processing and summarizing this data in a meaningful way has become a significant research area. Text summarization aims to extract concise and informative summaries from textual data. In this study, the performance of transformer-based models in text summarization is evaluated by comparing them with human-generated summaries. Additionally, the utility of large language models like ChatGPT in the field of summarization is investigated. The study presents detailed insights into the summarization performance of transformer-based models such as BART and T5, aiming to guide future research in summarization.
Innovation in Corporate Cyber Security

The invention of computers, the development of information and communication systems and technologies, along with the gains they have provided, have made the realm of information technology an indispensable part of human life. In a world that has become increasingly digitized in every aspect, the dangers and threats directed towards information, information systems, valuable assets, and the emerging power continue to grow day by day. As the importance of cybersecurity increases in every field and at every level to counter these dangers and threats, corporate cybersecurity has become an essential element of today’s business world. The dangers and threats that arise in the cyber environment pose significant risks to organizations of all sizes, and traditional security measures are no longer sufficient to provide adequate protection. The necessity of "Innovation in Corporate Cybersecurity" has emerged as a process of developing a more agile, effective, and results-oriented approach to addressing cyber threats and risks. This work attempts to highlight the foundations, importance, innovative technologies and approaches, implementation, challenges, and risks of innovation in corporate cybersecurity, as well as the benefits it can provide to organizations, while also offering insights and predictions.
Minisuperb: Lightweight Benchmark for Self-Supervised Speech Models

SUPERB was proposed to evaluate the generalizability of self-supervised learning (SSL) speech models across various tasks. However, it incurs high computational costs due to the large datasets and diverse tasks. In this paper, we introduce MiniSUPERB, a lightweight benchmark that efficiently evaluates SSL speech models with comparable results to SUPERB but lower computational costs significantly. We carefully select representative tasks, sample datasets, and extract model representations offline. Our approach achieves a Spearman’s rank correlation of 0.954 and 0.982 with SUPERB Paper and SUPERB Challenge, respectively. Additionally, we reduce the computational cost by 97 % in terms of Multiply-ACcumulate operations (MACs). Furthermore, we evaluate SSL speech models in few-shot scenarios and observe significant variations in their performance. To our knowledge, this is the first study to examine both the computational cost of the model itself and the cost of evaluating it on a benchmark. <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> Our code is available at https://github.com/Comet0322/MiniSUPERB
Markovian Embeddings of Non-Markovian Quantum Systems: Coupled Stochastic and Quantum Master Equations for Non-Markovian Quantum Systems

Quantum Markov models are employed ubiqui-tously in quantum physics and in quantum information theory due to their relative simplicity and analytical tractability. In particular, these models are known to give accurate approxi-mations for a wide range of quantum optical and meso scopic systems. However, in general, the validity of the Markov approximation entails assumptions regarding properties of the system of interest and its environment, which may not be satisfied or accurate in arbitrary physical systems. Therefore, developing useful modelling tools for general non-Markovian quantum systems for which the Markov approximation is inappropriate or deficient is an undertaking of significant importance. This work considers non-Markovian principal quantum systems that can be embedded in a larger Markovian quantum system with one or more compound baths consisting of an auxiliary quantum system and a quantum white noise field, and derives a set of coupled stochastic and quantum master equations for embedded non-Markovian quantum systems. The case of a purely Hamiltonian coupling between the principal and auxiliary systems as a closed system without coupling to white noises is included as a special case. The results are expected to be of interest for (open-loop and feedback) control of continuous-time non-Markovian systems and studying reduced models for numerical simulation of such systems. They may also shed more light on the general structure of continuous-time non-Markovian quantum systems.
The Stabilization Condition for Interval Type-2 Fuzzy Systems via Relaxed Membership-Parameter Matrix Inequalities

This paper aims to investigate the relaxed stability condition for interval type-2 Takagi-Sugeno fuzzy systems via membership-parameter matrix inequalities. The membership framework of interval type-2 fuzzy sets is structured in convex polytopes with a straightforward method. The stabilization syn-thesis with a non-parallel distributed compensator controller in-corporating lower and upper membership functions is achieved in the sense of a matrix. Moreover, this paper introduces the relaxation strategy for the orthogonal complement, effectively reducing the number of decision variables related to the linear matrix inequalities. In conclusion, examples are presented to demonstrate the effectiveness and applicability of the proposed methods.
Separate Equilibrium Game of Higher Education Management and Student Training in the Internet Era

Abstract This paper constructs an evolutionary game model by making relevant research hypotheses on higher education management and student cultivation with evolutionary game theory, selecting the evolutionary strategies of higher education management and students, and solving the expected returns of higher education management and student cultivation through the payoff function. A separate equilibrium game is solved for the replicated dynamic equations of the evolutionary game so as to better analyze the dynamic evolutionary game relationship between higher education management and student cultivation. The stability analysis of the evolutionary game model for higher education management and student cultivation was carried out, and numerical validation was performed using MATLAB software. The results show that when P 3 + P 4 + T 3 &lt; F , the benefits of both universities and students are higher than the costs, and at this time (1,1) is the evolutionary stability point, the university management and students learning by heart are the evolutionary stability strategy, and both sides tend to take a positive strategy. When the proportion of the university education management department choosing “attentive management” strategy is 0.9, its evolutionary path of students choosing “attentive learning” strategy proportion increases and then tends to 1, so as to reach a stable state. The best evolutionary stability point is achieved when the strategies of higher education management and student training choice are both 0.7 and 0.8 after the university incentive policy is introduced.
New Vocational Education Law on Artificial Intelligence Helps Build a Skilled Society

Abstract Under the guidance of the new vocational education method of artificial intelligence, this paper divides the skill-based society into skill-based organizations, and constructs a knowledge dynamic equilibrium model based on superimposed knowledge fields. The knowledge-explicit module of skill-based talent flow and the external dynamic equilibrium module are integrated to achieve the evolutionary modeling of knowledge resources in skill-based organizations. Based on the discussion of the new vocational education law, the characteristic models of intellectual resource development, knowledge dynamic growth, group evolution and talent motivation in skill-based organizations are proposed respectively. The simulation analysis of the knowledge dynamic equilibrium network is combined with the analysis of influencing factors to inspire the education of higher vocational colleges and universities under the new vocational education method. As measured by the data, the average path length mean values of the intra-organizational knowledge network when N=160, 260, 330 are 2.2761, 2.4437 and 2.5394, respectively, which indicates that skilled talents have a strong willingness to interact with each other and share knowledge. The construction of skill-based organizations should fully create a strong environment for talent exchange and focus on cultivating students’ willingness and ability to communicate in vocational education.
Implementasi dan Analasis Keamanan Jaringan Pada STIA Lancang Kuning Dumai Menggunakan Port Scanning dan Firewall Tarpit

This study aims to implement and analyze network security at STIA Lancang Kuning Dumai in Dumai City using the port scanning method and tarpit firewall. The main purpose of this research is to identify security holes in the network and protect the system from threats that may arise. The method used in this research is the SDLC method. The results of the analysis show that the implementation of port scanning and firewall tarpit at STIA Lancang Kuning Dumai has succeeded in significantly increasing network security. The port scan was able to identify several security holes which were then able to be fixed and strengthened. Tarpit firewalls are also effective in inhibiting attacks by slowing down and limiting attacker access. This research makes an important contribution to securing the network at STIA Lancang Kuning Dumai and provides valuable guidance for similar institutions in strengthening their security systems. However, it is important to continuously monitor new technology developments and security threats to keep systems well-protected and ready for more sophisticated attacks in the future.
DEVELOPING STUDENTS’ CRITICAL THINKING SKILLS THROUGH PROJECT BASED LEARNING: INTERNATIONAL EXPERIENCE

The article considers the issue of developing students’ critical thinking as an important competence in the 21st century educational context. Having analyzed the international re­search, the authors attempt to present approaches to interpreting the concept of “critical thin­king,” its component composition, and methods of its development through the implemen­ta­tion of Project-Based Learning (PBL). The project serves as the core of the educational pro­cess, directing it towards creating conditions for the development of critical thinking and crea­tive abilities of students in interdisciplinary environments when solving real-life prob­lems. The stages of implementing an educational project in the context of interdisciplinary in­tegration are also discussed. International experience in applying the project-based learning me­thod in various subject areas demonstrates its significant impact on the development of stu­dents’ critical thinking skills and overall academic performance.