Reviewerly/exHarmony huggingface dataset:
Media Pembelajaran Interaktif Budaya Melayu Riau berbasis WebGL

Currently, people in Riau province, children and adults, lack knowledge about Riau Malay culture, about traditional costumes, traditional dances, traditional houses, and traditional weapons. The introduction of Malay Riau culture into preschool has not been done properly, has not been integrated into the school curriculum, and existing media are still limited in expressing 2D images. The purpose of this study is to create interactive learning materials using web-based WebGL technology in order to help children get to know Riau Malay culture. This research uses the waterfall approach, which consists of needs analysis, system design, implementation or code writing, and system testing using the Black Box System. Data collection techniques by making observations at the Sang Nila Utama Museum. The result of this study is a learning medium to help early childhood learners get to know Riau Malay culture. The test results showed that all functional systems worked well, and this learning medium was accepted by all 7 respondents with a satisfaction level of 87.6% through user acceptance. Based on the test results and the level of respondent satisfaction, it was concluded that this system can be accepted by many users, and it is expected that this system can be integrated with the existing curriculum.
Summarization of Korean Dialogues through Dialogue Restructuring

After COVID-19, communication through online platforms has increased, leading to an accumulation of massive amounts of conversational text data. With the growing importance of summarizing this text data to extract meaningful information, there has been active research on deep learning-based abstractive summarization. However, conversational data, compared to structured texts like news articles, often contains missing or transformed information, necessitating consideration from multiple perspectives due to its unique characteristics. In particular, vocabulary omissions and unrelated expressions in the conversation can hinder effective summarization. Therefore, in this study, we restructured by considering the characteristics of Korean conversational data, fine-tuning a pre-trained text summarization model based on KoBART, and improved conversation data summary perfomance through a refining operation to remove redundant elements from the summary. By restructuring the sentences based on the order of utterances and extracting a central speaker, we combined methods to restructure the conversation around them. As a result, there was about a 4 point improvement in the Rouge-1 score. This study has demonstrated the significance of our conversation restructuring approach, which considers the characteristics of dialogue, in enhancing Korean conversation summarization performance.
The Effect of Playfulness and Empathy on Play Support Competency of Early Childhood Teachers

The purpose of this study is to examine the correlation between playability, empathy ability, and play support competency of early childhood teachers, and the effect of playability and empathy ability of early childhood teachers on play support competency. For this study, a questionnaire was conducted for infants and toddlers in daycare centers and kindergartens nationwide, and data of 348 people were collected. For the results of the study, correlation&#x0D; analysis and multiple regression analysis were conducted using the SPSS 28.0 statistical program. The results of this study are as follows. First, for the level of playability, empathy, and play support competency of early childhood teachers, the level of playability was high, and the level of empathy and play support competency of early childhood teachers was also high. Second, there was a significant positive correlation between the play performance and play support competency of early childhood teachers, and a significant positive correlation between the empathy and play support competency of early childhood teachers. Third, the effect of play and empathy of early childhood teachers on play support competency was found to have a significant positive effect. These findings demonstrate that early childhood teachers' ability to support play is an important factor in childcare sites that are implementing play-based curriculum, and various studies that can be used in childcare sites should be activated to improve the playability and empathy of early childhood teachers.
A Legendary Narrative Analysis Model Using the Modal Logic System of Possible Worlds

This study develops a new analysis methodology for legendary narratives based on the possible world theory. As part of this, it develops a narrative analysis model. Unlike “traditional narratology,” possible world theory enables new and diverse approaches related to narrative by establishing various worlds created through stories, and it allows the establishment of related hypotheses and theories. Particularly, it provides a methodology for a new understanding of narratives that are difficult to establish in literature or history, such as legendary narratives.&#x0D; Legends are often regarded as fictional narratives that have a certain degree of historicity with temporal and spatial limitations and evidence but are differentiated from history. However, according to White, history is also a fictional narrative that creates a specific world by constructing a plot and indicates a specific ideology or meaning. Finally, historical narratives are simply narratives related to the history of actual events, whereas legendary narratives are non-historical narratives about a world believed to have existed. By breaking away from the conventional perspective of mimesis and assuming various possible worlds, we can plan a new methodology for narrative research by examining the worlds presented by narratives.&#x0D; In this discussion, a model for analyzing legend narratives was presented using Doležel's modal logic system. The alethic, deontic, axiological, and epistemic plots were established as segmented units and analysis items that operate in the story world. The modes of each stage of the narrative were analyzed and connected to create meaning in the form of a single sentence. This analysis model was applied to Song Si-yeol legends handed down in the Goesan region to analyze the composition principles of the narrative text and the meaning of the narrative. By applying the secondary narrative analysis model using a modal logic system, it is possible to examine the semantics of the story world within a systematic framework, rather than simply finding the primary indicative meaning or subjective and abstract commentary of the legendary narratives.
The Structural Relationship Between Professor's Support, Academic Self-Efficacy, Learning Engagement, Major Satisfaction and Academic Persistence Intention of Junior College Freshmen

The purpose of this study was to identify the structural relationship between professor's support, academic self-efficacy, learning engagement, major satisfaction and academic persistence intention of junior college freshmen. The survey instruments used were those developed in previous studies, with confirmed reliability and validity, and 476 questionnaires were used for analysis. Data analysis included reliability analysis, descriptive statistics analysis, correlation analysis, normality analysis, and multicollinearity analysis using IBM SPSS 23.0. Confirmatory factor analysis and structural equation modeling were conducted using Mplus 7.0. &#x0D; The results of this study are as follows. First, an appropriate structural relationship model was reasonably identified between professor's support, academic self-efficacy, learning engagement, major satisfaction and academic persistence intention of junior college freshmen. Second, according to the analysis of direct effects, professor's support had a significant positive influence on academic self-efficacy, learning engagement, and major satisfaction, but showed a negative effect on academic persistence intention. Academic self-efficacy had a significant positive effect on learning engagement, and learning engagement had significant positive effects on major satisfaction and academic persistence intention. Major satisfaction had a significant positive effect on academic persistence intention. Third, The analysis of indirect effects through mediation revealed that learning engagement, and major satisfaction mediated the relationship between professor's support and academic persistence intention, respectively. Learning engagement mediated the relationship between academic self-efficacy and academic persistence intention, while major satisfaction mediated the relationship between learning engagement and academic persistence intention. Furthermore, it was found that academic self-efficacy and learning engagement acted as dual mediators between professor's support and academic persistence intention, and learning engagement and major satisfaction acted as dual mediators between professor's support and academic persistence intention as well as between academic self-efficacy and academic persistence intention. Finally, Academic self-efficacy, learning engagement, and major satisfaction acted as triple mediators between professor's support and academic persistence intention. Based on these results, the implications and recommendations for academic persistence intention of junior college freshmen were discussed.
Waste Bank Information System Integrated with IoT-Based Scales

Sekumpul Waste Bank (SWB) is a productive Waste Bank with 2057 customers and ±7000 kg of waste handled daily. With this great potential, unfortunately, weighing system data management is still done manually, making it difficult for managers. Based on the literature review, the solution is to create a waste bank information system that can handle garbage data collection, customers, and transactions, computerized account creation, and an automatic reporting system. However, there was no research before that has created a waste bank information system that integrated with IoT-based scales to make it easier for officers to weigh and input the data in an integrated manner into the system. Therefore, this research aims: (1) to build a Waste Bank Information System Integrated with IoT-Based Scales; (2) to Test the system based on ISO 25010 standard. This research uses Research and Development (R&D) methods with waterfall development procedures. Observation, interviews, and questionnaires were carried out data collection. The ISO 25010 standard is used with three characteristics in the Testing process. This research has successfully designed and built a Waste Bank Information System Integrated with IoT-Based Scales. The application has undergone a series of software and hardware tests. In the functional suitability test, 100% of the functions worked well. In performance efficiency testing with GTMetrix, it got category B. Finally, in usability testing, it scored 82.1% and was declared very feasible. Hardware (scale) testing: connection to Wi-Fi, loadcell connection, and accuracy level of scale were declared successful with 99,76% accuracy.
Blockchain for Transparent Academic Records: Implications for Higher Education Institutions

In the rapid development of the digital world, the management and verification of academic records have become critical concerns for higher education institutions. This research investigates the transformative potential of blockchain technology to enhance transparency in academic records within the context of higher education. The study employs the Structural Equation Modeling (SEM) method using SmartPLS as the analytical tool. The main variables under scrutiny encompass Academic Records, Higher Education Institutions, Blockchain Transparency Features, Data Integrity, and Institutional Challenges and Opportunities. The significance of this research lies in the growing demand for reliable and accessible academic records in the digital era. The research methodology involves a quantitative approach, with a sample drawn from various stakeholders in higher education institutions, including students, faculty, and administrative staff. The analysis aims to establish causal relationships among these variables, assess the impact of blockchain transparency features on data integrity, and explore their implications for managing academic records. These findings contribute not only to academic literature but also offer practical insights for institutions seeking to leverage blockchain technology to enhance transparency and integrity in academic records.
Developing Competences and Skills through Media Literacy in History Classes

The development of educational processes and implementation of new methods of teaching and learning are established as a fundamental characteristic of the beginning of the new millennium. Appling key competences as the goalsetting of educational tasks has the potential to ensure the transition to the digital and innovative school ecosystem. The rapprochement between traditional academic disciplines and modern aspects of everyday life and environment is a condition for the development of the individual and civic potential of young people, for building life-ling skills. Media literacy in the classroom has the potential to become a compass that directs the resources form History as study of change over time to the needs of the present and ensures the most valuable aspect for humanity - freedom.
Sistem Pakar Mendiagnosa Penyakit Gigi Anak Usia Satu Sampai Lima Tahun Menggunakan Metode Certainty Factor

Teeth are one of the most important organs as a digestive tool for the human body. Therefore the teeth must be treated as well as possible. If no treatment is taken, the disease will cause the teeth to become infected. Dental diseases in one-to-five-year-olds most often seen are dental caries and gingivitis. Dental Caries can also be called cavities. While Gingivitis is a disease of tartar and gum inflammation. Expert System is an information system that contains the knowledge of an expert so that it can be used for consultation. In the expert system there are several methods, one of which is Certainty Factor. Cerainty Factor is one technique used to overcome uncertainty in decision making.
Evaluasi Keberhasilan Siamik UPN “Veteran” Jawa Timur Dengan Pendekatan Information System Success Model Delone And Mclean

In this journal article, the authors evaluate the effectiveness of the Sistem Informasi Akademik (SIAMIK) at UPN "Veteran" Jawa Timur using the DeLone and McLean Information System Success Model. The main objective of this study is to assess how SIAMIK contributes to enhancing academic processes and improving overall institutional performance. The research approach employed is quantitative, employing a questionnaire as the data collection instrument. The respondents for this study were selected through stratified random sampling, utilizing the Slovin formula. The target population consisted of students using SIAMIK at Universitas Pembangunan Nasional "Veteran" Jawa Timur, with a total sample size of 117 students. The study employed SEM analysis techniques using SmartPLS 4 tools for data management. Out of the seven hypotheses tested, five hypotheses met the quality criteria. The findings of this research are expected to offer valuable insights and recommendations for the development of academic information systems not only at Universitas Pembangunan Nasional "Veteran" Jawa Timur but also in other educational institutions.
Analisis Pengaruh Penggunaan Internet Download Manager pada Load Balancing di Mikrotik

Internet Download Manager (IDM) is one of the popular applications used by users to download various types of files from the internet. Load balancing is a technique used to increase the efficiency of using network resources by distributing data traffic evenly across several connection lines. This research aims to determine the extent to which IDM influences the effectiveness of load balancing as well as the influence of using Internet Download Manager (IDM) in the context of load balancing using the Policy-based Load Balancing (PCC), Equal Cost Multi-Path (ECMP), and Next-Hop Target methods. (NTH) on the MikroTik RB751 device. In this research, we used the PPDiOO method for systematic data collection and Quality of Services (QoS) analysis as a parameter for network data collection techniques. The research subject is the system or user who uses the device, while the research object is the impact of using IDM on load balancing performance. The main independent variable is the use of IDM, while the dependent variable is load balancing performance with different methods. Our findings show that using IDM consistently provides significant improvements in network performance compared to not using IDM.
Perancangan Aplikasi Data Mining Untuk Mempolakan Penjualan Pada Basoka Motor

Basoka Motor in its marketing activities is still done manually and has not yet idolized the sale of its motorbikes with the support of information technology. Designing an application can see the sales patterns that occur at Basoka Motor. To get information, one of the classification methods used in data mining is the decision tree method using the C.45 algorithm. Tests conducted between manual calculations and data mining applications on 27 motorcycle data obtained from Basoka Motor get the same results with an accuracy level of 100% using Confusion Matrix. Application development using the waterfall method with testing, namely Black Box Testing.
A Comprehensive Software System for Power Insulator based on UAV Intelligent Inspection and Facing Complex Weather

The team has developed an insulator comprehensive detection software system for complex weather conditions and UAV inspection scenarios, which has the functions of defect classification, positioning, statistics, and return. Through the construction of enhanced YOLOv7 detection algorithm, the patrol ability of UAV in low illumination weather conditions such as rain, fog and haze is improved. In addition, the lightweight deployment of the model is realized through multi-party optimization, the real-time early warning and return of defects and dangerous elements are completed, which greatly improves the inspection efficiency.
Combating the Macau Scam in Malaysia: Strategies for Mitigation and Resolution from Civil Law and Sharī'ah Perspectives

The phenomenon of cybercrime fraud that occurs in Malaysia has now become a hot topic of discussion. The financial loss and psychological distress experienced by the scam victims has brought attention to the Macau Scam problem in Malaysia. Due to the frequency of people who are too easily deceived by this syndicate’s modus operandi, Macau Scam every day becomes headlines in the newspaper. This causes people frustrated as fraud can happen to anyone if the public is not exposed or is not aware of this matter. There are various awareness campaigns that have been carried out by the authorities to reduce the risk of victim involvement in this fraud syndicate but there are still many more involved and show no reduction. To prevent people from being victims of this form of fraud and to maintain justice to stop this issue from getting worse, Malaysian law provides several protections and remedies. Therefore, the objective of this study is to identify the issues of Macau Scams in Malaysia and to investigate the adequacy of the existing Malaysian Cybers Laws in providing the protection and remedies to the affected victims from the perspective of Civil Law and Sharīah perspectives. In terms of methodology, researchers use a qualitative approach method consisting of document analysis where all information and data are obtained from primary and secondary sources which consist of various Acts, Enactments, journal articles, books, newspapers, and many others. As a result of document analysis, researchers found that several cyber laws that can be used to overcome this problem such as Anti-Money Laundering and Terrorist Financing Act [Act 613], Section 420 of the Penal Code [Act 574], the Communications and Multimedia Act 1998 [Act 588], Computer Crime Act 1997 [Act 563], Electronic Commerce Act 2006 [658], Personal Data Protection Act 2010 [709] and Consumer Protection Act 1999 [Act 599] (Amendment 2010) while the level of awareness among the public is one of the leading causes of this scam issue.
Experimental Curves Segmentation Using Variable Resolution

A new segmentation method of signals distorted by noise is proposed. Unlike other known methods, for example, the Canny method, a priori data on interference and / or a signal (image) is not used. Segmentation of signals and halftone images distorted by interference is one of the oldest problems in computer vision. But human vision solves this task almost independently of our consciousness. It was discovered for visual neurons, that sizes of receptive fields' excitatory zones change during visual act, which eventually mean dynamical changes in visual system's resolution i.e. coarse-tofine phenomenon in living organism. We assumed that „coarse-to-fine“ phenomenon, i.e. several different resolutions, is used in human vision to segment images. A „coarse-to-fine“ algorithm for segmentation of experimental graphs was developed. The main difference of algorithm mentioned above from others is that decision is made taking into account all partial solutions for all resolutions being used. This ensures stability of final global solution. The algorithm verification results are presented. It is expected that the method can naturally be expanded to segmentation of halftone images.
Usability Measurement of Aswaja Chatbot with System Usability Scale (SUS)

Chatbots are becoming increasingly popular as human-computer interfaces or robots. Virtual assistants, such as chatbots, have exploded in popularity in recent years thanks to breakthroughs in areas like machine learning, artificial intelligence, and even more fundamental technologies like neural networks and natural language processing. The Aswaja chatbot application is an application that supports strengthening Islamic character for the young generation of Nahdlatul Ulama (NU). This Aswaja chatbot will make it easier for Muslims, especially millennials, to obtain valid and trustworthy references on religious issues that are in accordance with the teachings of Ahlussunah wal Jamaah. The widespread use of chatbots must be followed by ongoing evaluation to determine the effectiveness and ensure the continued use of the Aswaja chatbot application. This research aims to conduct an evaluation of the Aswaja chatbot application. This study used the System Usability Scale to assess how user-friendly the Aswaja chatbot application was. With a SUS Score of 64,037, we can confidently say that this value falls into the Good category of the final adjective rating score indication, the D category of the grade scale, and the marginal high category of the acceptability ranges.
Sistem Informasi Pariwisata Babel Berbasis Android

The android-based Bangka Belitung tourism information system is used to make it easier for tourists in Bangka Belitung and those from outside, to obtain information about tourism, cultural customs, souvenirs, and culinary delights available in Bangka Belitung. This android application is made using the waterfall method which consists of several stages, namely requirements analysis, system design, programming, testing, and implementation. This application will display detailed information on tours, cultural customs, souvenirs, and culinary delights in Bangka Belitung. Based on the results of black box testing and user acceptance testing (UAT) by conducting questionnaires to 10 users, the percentage results are 89%. Therefore, the authors developed a Bangka Belitung tourism information system using Android Studio and PhpMyAdmin as MySQL database management. With this Android application, it can make it easier for local tourists and tourists from outside Bangka Belitung to find information about tourism in Bangka Belitung.