Reviewerly/exHarmony huggingface dataset:
Relationship between Peer Interaction and Assertive Behavior of Student at SMPN 8 Maja

This study aims to determine whether there is a relationship between peer interaction with the assertive behavior of students of SMPN 8 Maja in class VIII of the 2022/2023 academic year. The research method used is a correlational quantitative research method to be able to see the relationship between the x and y variables. The population used in this study was students of class VIII SMPN 8 Maja. The sample used consisted of 31 samples with saturated sampling technique. In testing the hypothesis using parametric data analysis with the Product Moment Correlation method, a Sig value of 0.003 is obtained. Decision making based on product moment correlation test criteria is if the Sig. &lt; 0.05 then correlated. Based on the results of the product moment correlation test, it can be seen that the value of Sig. 0.003 &lt;0.05 which means that peer interaction variables with assertive behavior variables are correlated. Meanwhile, the Pearson Correlation value was 0.521. With a significance level of 5%. So it can be seen that between peer interaction variables and assertive behavior variables have a moderate positive correlation. So it can be concluded that the higher the peer interaction that students have, the higher their assertive behavior. Vice versa, the lower the peer interaction, the lower the assertive behavior of students.
The Influence of Online Games on The Social Behavior of High School Students

Several aspects of life are currently undergoing transformations due to the rapid advancement of communication technology, and one such aspect is entertainment, specifically online games. The primary purpose of online games is to provide amusement to individuals and prevent them from experiencing boredom after completing routine tasks. However, individuals become addicted to online games primarily due to the intense gameplay, particularly among teenage groups. Even excessive online games has negative consequences, including social inequality such as timelessness and a decline in manners. This study aimed to examine the correlation between online games and the social behavior of high school students in the Bangil District. This study employed a quantitative method utilizing an analytical survey. The sampling technique employed was purposive sampling, conducted in several coffee shops within the Bangil District, with a sample size of 50 respondents. The findings of this study revealed a negative impact of online games on the social behavior of high school students, as indicated by the equation Y = 5.066 + 0.848X, demonstrating a significant influence. The correlation between X and Y is 0.774, indicating a negative relationship between the variables. The remaining 0.226 falls outside the scope of this investigation. There existed a strong and significant negative relationship between online games and the social behavior of high school students. The impact of online games on students' social behavior manifested in several negative aspects, including the usage of harsh language, disruption of daily productivity leading to health deterioration, failure to keep promises to others, neglecting religious worship, abandoning tasks, and a decrease in the display of empathy towards others. &#x0D; Keywords: Online Games, Social Behavior, Student
Indonesian Learning and Think Pair Share Model: An Effort to Improve Student Learning Outcomes

The purpose of this study is to apply the Think Pair Share learning model as an effort to improve student learning outcomes in Indonesian language learning. This research uses a type of classroom action research, which is one of the problem-solving strategies that utilizes real action from the process of detecting problem-solving abilities. The design used in this study is the Kemmis and Mc. Taggart model. The approach used in this study is a qualitative approach, but to complete the data also used qualitative data. This research step is carried out in 2 cycles and each cycle consists of 2 meetings. Each cycle consists of stages of planning, action, observation and reflection. Data collection using observation sheets, tests and documentation. The results showed that the application of the Think Pair Share learning model using can improve activities and learning outcomes Indonesian grade II students. The average score for student graduation criteria starting from pre-cycle on was 60.7%, which then increased by 9.95% in cycle I and became 70.65%. Meanwhile, the percentage of student graduation increased in the second cycle, which was 18.77% and became 89.42%. This increase proves that the TPS (Think Pair Share) learning model in Indonesian learning can improve the learning outcomes of grade II students.
LANGUAGE FUNCTION BY THE MAIN CHARACTER IN “THE LAST OF US PART 2” VIDEO GAMES

This study was conducted by using descriptive qualitative method. It was concerned with the description of data in the form of utterances by the main character in The Last of us part 2 Video Game (2020). In conducting this research, the researcher (1) found out the types of language function in The Last of us part 2 Video Games. (2) described the realization types of language function in The Last of us part 2 Video Games. In the application of the language function, the last of us part 2 video games utterances used Jakobson’s theory. The result showed first, that most dominant type of language function in Jakobson’s theory is Expressive Function with (37%). The percentage directive function is (32%). The percentage Metalinguistic function is (20%). The lowest percentage in language function that Referential function is (11%). Second, The realization of language function described, such as : Expressive Function, that is action from another character make a feeling to main character, for example : (Jesus! You almost gave me heart attack, Fuck!, Gotcha!!, Just banged up!), Directive Function, is about attempt to get someone to do something. For example: (You better run little shit1, Run Dina!, No!, okay!), Referential function, is the communication of information, for example (oh, there’s the ski lodge, that’s the one on Tommy and Joel’s route), Metalinguistic function explain about the answer is code itself, for example: (just another evacuated neighborhood)
Application of ICT-Based New Instructional Paradigm Used by Teachers

The purpose of this study is to describe instructors' abilities to apply a new ICT-based learning paradigm. Data gathering methods include interviews, documentation, observation, and a review of the literature. The descriptive qualitative analysis was performed to analyze the data. Teachers are now expected to be capable of carrying out ICT-based learning. Teachers confront several challenges while establishing ICT-based learning, including: the various circumstances of pupils and aspects of teaching experience, the capacity to operate learning media; and the availability of school infrastructure. Teachers must be able to use material from the internet as well as teacher discussion forums to overcome obstacles in the development of a new ICT-based learning paradigm.
PENERAPAN ALGORITMA K-MEANS UNTUK KLASTERISASI PENDUDUK MISKIN DI PROVINSI BANTEN

Abstract— People with low incomes are unable to obtain education and other government services. The problem of poverty faced by the government is closely related to people with low incomes who cannot meet their basic needs. The Central Bureau of Statistics describes poverty as the inability to meet basic food and non-food needs as measured by expenditure. This study aims to classify Banten province based on poverty levels, by dividing the number of poor people into high, medium, and low categories. The K-Means clustering method is very fast and easy to use in the K-Means algorithm clustering process. Where the grouping results are formed, namely group one has a moderate number of poor people in three districts/cities, Pandeglang Regency, Lebak Regency, and Tangerang Regency. The second group has the lowest population in one district/city, namely Tangerang City. The third group has the highest number of poor people in the four districts/cities, namely Serang Regency, Cilegon Regency, Serang City, and South Tangerang City. The clustering results show that the Provincial Government of Banten will give priority and special attention to poverty alleviation efforts in the district/city. This will allow for increased revenues and earnings, as well as improved livelihoods and the economy in the area. the K-Means algorithm can classify the poor based on the number of people per district or city in Banten Province.
Role and Importance of Computational Statistics in Machine Learning

Computational statistics plays a crucial role in the field of machine learning by providing robust and efficient methods for data analysis and model inference. In this abstract, we explore the intersection of computational statistics and machine learning, highlighting the key contributions and advancements in this rapidly evolving field. We begin by discussing the fundamental principles of computational statistics, emphasizing the importance of statistical modeling, inference, and optimization. These principles form the backbone of machine learning algorithms, enabling data-driven decision making and predictive modeling. Next, we delve into the challenges and complexities associated with applying computational statistics techniques. These challenges include handling high-dimensional data, dealing with large-scale datasets, and over fitting. Various approaches, such as regularization, dimensionality reduction, and scalable algorithms, are explored as solutions to these challenges. Keywords—computational statistics, machine learning, data, decision making, optimization.
Improve Customer Experience in Automotive Industry Through Advanced Driver Assistant Systems

This manuscript explores the impact of emerging technologies in the automotive industry, specifically focusing on enhancing the customer experience and driving safety. The study investigates the advantages of incorporating emotion-tracking technologies like facial coding and affective computing algorithms into Advanced Driver Assistant Systems (ADAS). A simulated experiment involving 20 participants uses facial coding systems to track emotional responses and statistical analysis to establish a connection between emotional states and driving behaviour. The research reveals a strong correlation between negative emotions and unsafe driving behaviour. The study proposes an ADAS system that utilizes emotional tracking to provide real-time feedback to drivers and adjust the driving environment accordingly. Although the study highlights the potential benefits of emotional tracking technology, it emphasizes the need for further research to refine and validate the proposed ADAS system and address privacy concerns. Overall, this research offers an innovative approach to improving driving experience and safety, contributing to integrating new technologies in the automotive sector.
Cryptoverse - A Multi-Asset Platform with Crypto Swapping Technique using Blockchain

Cryptocurrencies have gained significant attention and adoption in recent years, leading to an ever- growing number of digital assets. As the cryptocurrency market expands, the need for a comprehensive and user- friendly platform that supports multiple assets and seamless swapping capabilities has become evident. This paper presents a comprehensive study and implementation of a cutting-edge crypto App that serves as a Multi-Asset platform, empowered by blockchain technology. The application is designed to offer real-time crypto market data analysis, up-to-date news, secure crypto wallet services, and advanced crypto swap functionalities. The primary goal is to provide users with a seamless and user- friendly experience for managing their cryptocurrency assets efficiently. The paper also presents a detailed analysis of Cryptoverse, outlining its system architecture, features and functionalities, security and privacy measures, user experience, regulatory compliance, and scalability. Additionally, the paper explores the impact of Cryptoverse on financial inclusion and its potential to shape the future of digital asset management. Key Words: Cryptocurrency, Multi-Asset, Crypto market analysis, Wallet, Crypto swap, security and privacy.
Analisis Problematika pada Keterampilan Menulis Permulaan Siswa Kelas II Sekolah Dasar

Early writing skills are a critical aspect in a child's language development. This article provides an overview of early writing skills and identifies several challenges often encountered in developing writing abilities among children. The importance of early writing skills as the foundation for language learning and communication is the main focus. This stage involves introducing letter forms, fine motor training, and the ability to connect simple letters into meaningful words. Proficient writing skills serve as the basis for more complex language abilities in the future. However, there are several challenges faced in developing early writing skills in children. One of them is the lack of attention from parents and educators regarding the importance of these writing skills. Insufficient support and appropriate stimulation during the initial learning stage can hinder a child's writing development. Additionally, another challenge is the difficulty experienced by some children in overcoming fine motor obstacles. Their untrained hand-eye coordination makes it challenging to form letters clearly and neatly.
Model of Policy Synergy in Fire Management in the City of Bandung

This research is based on the phenomenon of the city of Bandung which has a large and dense population and a high level of building density, so it is at risk of various disasters. One of the disaster risks that is quite vulnerable is the occurrence of fires in slums and densely populated areas. The high potential for fires and cases of fire incidents in the city of Bandung are empirically caused by various problems, including; Firefighters are hampered on their way, lack of understanding and knowledge of the public about fire services when providing information on fires, and traffic jams that occur on the highway, as well as crowds of residents who see the fire incident, making it difficult for firefighters to put out the fire. It is hoped that these various problems can be resolved immediately through policy synergy between the Bandung City Fire and Disaster Management Service and various other relevant agencies, so that the handling of fires in the City of Bandung can be carried out more effectively and efficiently. In line with this context, this study uses a qualitative approach through descriptive methods. Meanwhile, data collection techniques were carried out using in-depth interviews, literature studies, observation and documentation. The results of the study found that in order to synergize policies in handling fires in the city of Bandung, a clear concept and parameters were needed, so that they could be used as guidelines or references for all stakeholders involved in synergizing fire management policies. The parameters in question include; there is a common perception, potential resources, communication patterns, attitudes of policy actors, and the existence of an organizational structure.
Teachers’ Experiences in Organizing the Process of Assessment and Self-Assessment of Students in Natural Sciences Lessons

The article analyses the experiences of teachers in organizing assessment and self-assessment processes in natural sciences lessons. In order to compare the teacher’s assessment and the student’s self-assessment, the study relies on the concept of assessment as learning. The research participants are primary education teachers who organize natural sciences lessons for fourth-grade students. The study is based on the methodology of participatory action research. During the action research, the role of the teacher and the student in achieving the harmony of assessment and self-assessment was revealed, four main stages of the student’s self-assessment of the lesson were distinguished as well as the factors promoting and limiting the harmony of assessment and self-assessment. It was emphasized that during the educational process, teachers must constantly monitor students, record individual progress in a chosen way, analyse the results, and discuss them with students. Collaboration with colleagues becomes important, which helps to collect and analyse data, organize joint activities together, discuss results, examine challenges, and recommend solutions.
CaFANet: Causal-Factors-Aware Attention Networks for Equipment Fault Prediction in the Internet of Things

Existing fault prediction algorithms based on deep learning have achieved good prediction performance. These algorithms treat all features fairly and assume that the progression of the equipment faults is stationary throughout the entire lifecycle. In fact, each feature has a different contribution to the accuracy of fault prediction, and the progress of equipment faults is non-stationary. More specifically, capturing the time point at which a fault first appears is more important for improving the accuracy of fault prediction. Moreover, the progress of the different faults of equipment varies significantly. Therefore, taking feature differences and time information into consideration, we propose a Causal-Factors-Aware Attention Network, CaFANet, for equipment fault prediction in the Internet of Things. Experimental results and performance analysis confirm the superiority of the proposed algorithm over traditional machine learning methods with prediction accuracy improved by up to 15.3%.
BOOK RECOMMENDATION SYSTEM USING COLLABORATIVE FILTERING

The advent of recommender systems has revolutionized the digital landscape, enabling users to effortlessly access personalized web content tailored to their preferences.These systems have become instrumental in streamlining e-commerce experiences, providing users with curated recommendations that align with their tastes.This paper delves into the realm of recommendation systems, with a specific focus on the domain of online book shopping.As the ecommerce landscape evolves, the significance of accurate and efficient recommendations cannot be overstated.Traditional methodologies often fall short, accumulating irrelevant data and impeding the user experience.In response, this paper introduces a novel approach to book recommendations, aimed at enhancing the reader's journey by suggesting the ideal book for their next reading endeavour.The proposed method centres on User-Based Collaborative Filtering (UBCF), a powerful technique that harnesses the collective preferences of users with similar reading patterns.By leveraging a well-defined set of similarity measures, the system effectively identifies like-minded readers, paving the way for insightful book recommendations.The architecture of the proposed system is meticulously outlined, showcasing its seamless integration into the online book shopping platform.In addition to UBCF, the paper underscores the importance of training, feedback, and data management in bolstering the recommendation process.The model's implementation is intricately detailed, highlighting its practicality and potential impact.As a user interacts with the system, a symphony of training, analysis, and configuration culminates in the delivery of tailored book recommendations.In conclusion, this paper not only presents a comprehensive overview of recommendation systems in the context of online book shopping but also introduces an innovative approach rooted in User-Based Collaborative Filtering.By bridging the gap between user preferences and available content, the proposed system redefines the book selection process, providing readers with a roadmap to literary exploration that aligns seamlessly with their interests.Through the convergence of cutting-edge technology and intuitive design, the paper offers a promising glimpse into the future of personalized digital experience In an era of information abundance, our approach refines content curation.
DEVELOPMENT E-MODUL GEOGRAPHIC INFORMATION SYSTEM BASED ON MOODLE

The development of information technology has affected all fields, namely the field of education without exception. Information technology-based learning (e-learning) is learning where all information is centered on students. If the educator is not present, learning can still be done with e-learning learning which can be accessed using the internet. Current learning at ITB STIKOM Bali, especially in the Information Systems course, is still not effective due to limited learning resources that can increase student enthusiasm for learning. This lack of learning resources for students is a problem during a pandemic and currently facing the digital era due to unpreparedness in dealing with the digital world, this also occurs at the ITB STIKOM Bali campus which still uses learning resources that are less attractive and less interactive which causes students to be less interested to learn. This is supported by data from questionnaire results from 60 students who have completed GIS lectures with previous learning resources, around 72% of students stated that they agreed with the development of learning resources using multimedia e-modules. This course was chosen in the development of teaching materials because teaching Geographic Information Systems requires high-level thinking skills in the process of understanding theory and its applications, therefore higher-order thinking skills play an important role in developing understanding of the material and learning along with it. requires high concentration in digital map digitization. Based on these problems, it is necessary to develop learning resources in the form of Moodle-based multimedia-based e-modules that can be accessed by students online. The method of making an application using the method. The research method consists of literature study, MDLC (Multimedia Development Life Cycle) stages and evaluation. Testing the e-module by giving questionnaires to students taking Geographic Information Systems courses. The software used in making e-modules is Adobe Captivate and other supporting software in photo, audio, and video editing. Testing the effectiveness of the e-module by giving pre-test and post-test to 20 students randomly with an average N-Gain learning result of 0.78 in the high category so the e-module is very effectively used as a learning resource.
Carol Rama: lo sguardo della Medusa

&#x0D; &#x0D; &#x0D; By analysing a choice of Carol Rama’s (1918-2015) pictorial works and comparing them with her ‘discursive practices’ or the ways she articulates her verbal expressions and interactions, this paper aims to construe a particular model for studying the relation between words and images, drawn from and inspired by both Émile Benveniste's ‘Enunciation’ Linguistics and Mikhail Bakhtin’s Metalinguistics. Read in this way, the alleged "pornography" of some of Carol Rama's early works is transformed into its opposite, that is, into an invitation addressed to a traditional voyeur to become a possible erotic interlocutor. This transformation is effected by the figures appearing in Rama’s paintings, who aim their gaze directly at the spectator’s eyes, addressing him as "you". Instead of enticing a voyeur, stealthily peeping at a sensual object, the figures’ gaze transforms the spectator into a “second person of the enunciation” (Benveniste). Similar considerations apply to Carol Rama's discursive practices, all of which are characterized by a "polyphony of voices", a polyphonic ensemble whose voices are not split and conflicting against one another. To quote Bachtin’s on Dostoewsky’s characters, whose voices are usually self-conflicting, in Carol Rama’s case, the voices are problematically “pacified” (Bakhtin,).&#x0D; &#x0D; &#x0D;