Reviewerly/exHarmony huggingface dataset:
PENINGKATAN HASIL BELAJAR PESERTA DIDIK MELALUI MEDIA AUDIO VISUAL PADA MAPEL FIQIH KELAS VI A MIN 2 MUSI BANYUASIN

Based on the results of initial observations, it was revealed that the use of media in MIN 2 Musi Banyuasin is sometimes still simple. Often just using conventional media or pictures found in textbooks. The impact that occurs makes students become bored, and less excited so that they become less interested in learning. This matter This causes some students to not reach the KKM target. So that the use of audio visual powerpoint media can be an alternative that can be used because it can make it easier for students to learn in an effort to understand the learning material so that the expected learning outcomes of participants learn can improve The purpose of this study was to determine whether through Audio Visual media can improve student learning outcomes on the subject of Fiqh class VI A MIN 2 Musi Banyuasin. Based on the results of research that has been carried out in class VI A MIN 2 Musi Banyuasin, the researchers concluded that Audio Visual media can used to improve student learning outcomes. It can be seen of increasing the average learning outcomes and learning completeness of Class Students VI A MIN 2 Musi Banyuasin for the academic year 2021/2022. In the first cycle the average value of the students was 76 and increased in the second cycle to 82.67. Completeness of learning outcomes in the first cycle was 73.33%, increased to 93.33% onlearning activities in cycle II
Blockchain technique for fair competition evaluation

In the new era characterized by the modernization of national governance, fair competition is the inherent requirement of building a modern market system. However, the abuse of administrative power by administrative organs to excessively interfere in free-market competition is widespread, seriously damaging the market competition order in China. To avoid the unreasonable intervention of administrative organs in the market economy, restrain the administrative acts of administrative organs, and form a highly “competitive” market environment, the fair competition review system came into being. With the rapid development of blockchain technology, new ideas are provided for the research of fair-trade protocols. Aiming at the system performance bottleneck and high-cost problems caused by centralized processing in traditional fair transaction schemes based on trusted third parties, a fair transaction scheme based on fuzzy signature is proposed. In the proposed scheme, the signature model uses concurrent signature, and both parties hold their own key numbers, which are released through blockchain transactions to bind their signatures. In the whole process, both parties can complete the contract signing without the assistance of a centralized third party. Based on analyzing the security of the proposed scheme, the performance of the proposed scheme is further compared with other similar schemes of the same kind, which shows that the proposed scheme has higher computational efficiency.
Siamese Neural Networks Approach to Hybrid Recommender System Modeling for Fostering Economic Growth in Fashion Domain

This study presents a hybrid recommender system model that combines Siamese Neural Networks for visual-based similarity and Collaborative Filtering using Singular Value Decomposition (SVD) to address the cold-start problem, enhance the visibility of less popular fashion brands, and stimulate economic growth within the fashion domain. Siamese Neural Networks could extract and leverage visual attributes to enable similarity computations, while SVD captures intricate user-item interactions. Through the combination of content-based filtering and collaborative filtering, the Siamese Neural Networks approach presents a solution that considers both visual attributes and user preferences. These recommendations have the potential to stimulate economic growth by fostering engagement with lesser-known brands, thus empowering smaller businesses and encouraging innovation in the fashion industry.
Keynote Lecture: Human-centric Natural Language Processing for Social Good and Responsible Computing

Large language models (LLMs) constitute a paradigm shift in Natural Language Processing and its applications across all domains. To move towards human-centric NLP designed for social good and responsible computing, I argue we need knowledge-aware NLP systems and human-AI collaboration frameworks. NLP systems that interact with humans need to be knowledge aware (e.g., linguistic, commonsense, sociocultural norms) and context aware (e.g., social, perceptual) so that they communicate better and in a safer and more responsible fashion with humans. Moreover, NLP systems should be able to collaborate with humans to create high-quality datasets for training and/or evaluating NLP models, to help humans solve tasks, and ultimately to align better with human values. In this talk, I will give a brief overview of my research agenda in the context of NLP for social good and responsible computing (e.g., misinformation detection, NLP for education and public health, building NLP technologies with language and culture diversity in mind). I will highlight key innovations on theory-guided and knowledge-aware models that allow us to address two important challenges: lack of training data, and the need to model commonsense knowledge. I will also present some of our recent work on human-AI collaboration frameworks for building high-quality datasets for various tasks such as generating visual metaphors or modeling cross-cultural norms similarities and differences.
Nonlinear dynamic feature fusion in Wearable Sensor-Based Human Activity Inference

The human movement process is a nonlinear and complex system with many definite instabilities, and the activity behaviors originate from the mutual non-linear interactions of various motor subsystems of the human body. Sensor-based Human Activity Recognition (HAR) in mobile application scenarios often face changes in sensor patterns, the use of shallow features in traditional machine learning leads to poor performance in incremental or unsupervised learning, and machine learning is limited to the constraints of linear relationships in the data, in this study of HAR, it is proposed to differentiate from a single traditional machine learning approach by using Lyapunov Exponent, Poincare plot, Recurrence Plot and other nonlinear dynamics features to achieve accuracy of 85.90%,95.91%,93.71% on mHealth dataset, proves that Nonlinear dynamics features are available in human activity recognition, and at the same time, fusing multiple nonlinear dynamics features to obtain the different deep multi-dimensional representations of the same action during human activity, better describing the process of motor subsystems during human activity, and solving the complex nonlinear system of human activity recognition in a deeper level, with an accuracy of 97.88% in the mHealth dataset, which indicates that the model designed in this work for the fusion of multiple nonlinear dynamics features is effective in human activity recognition.
SLiMS Implementation in SMAN 1 Sei Suka Library to Improve Education Quality

SMA Negeri 1 Sei Suka is one of the senior high schools located in Sei Suka District, Batu Bara Regency, North Sumatra Province. This school has various facilities including a library to support student learning activities. However, the library is still managed manually and has not been automated. The development of library information systems in partner libraries aims to improve library quality, especially in web-based library information systems through SLiMS. The method used as a solution to partner problems is initial observation, training for librarians, assistance to librarians and socialization of SLiMS utilization. The results of the service implementation show that SLiMS as a library information system in service partners has great benefits for librarians and libraries, especially in simplifying library operations. There was deep enthusiasm from librarians, teachers and students towards the utilization of SLiMS for partner libraries. Based on the results of the service implementation, it is concluded that a web-based library information system using SLiMS is more effective to use than a manual system
Level of Cognitive Domains among Junior High School Students, University of Bohol, Tagbilaran City

Enhancing students' reading comprehension is a pivotal aspect of their academic development. This study focused on assessing the cognitive domain levels among Grades 7, 8, and 9 Junior High School students during the 2020-2021 academic year at the University of Bohol, with a sample size of 212 participants. Employing a descriptive survey design, a researcher-developed questionnaire served as the primary tool to gauge the cognitive domain proficiency of these students. Utilizing a random sampling technique ensured an unbiased selection of participants across the specified grades. The findings revealed that the majority of respondents exhibited a commendable level of reading comprehension. However, the study unveiled noteworthy disparities in mean scores between lower and higher-order cognitive domains among the participants. Furthermore, 52.83% (112 out of 212) of the students reported having diverse general references at home. The research employed a quantitative-descriptive-correlational method. Spearman rho analysis demonstrated a significant correlation (p &lt; 0.05) between various levels of the cognitive domain, shedding light on the interconnected nature of these skills. These results provide crucial insights for educators and policymakers, emphasizing the necessity for targeted interventions aimed at enhancing higher-order thinking skills. Aligning with global literacy goals, this research underscores the importance of addressing cognitive disparities to foster a more comprehensive approach to reading comprehension education.
The Saudi Public Dealings with False News, Published on Social Media

Objectives: The study aimed to find out the awareness of the Saudi public about the seriousness of false news published through social networking sites, and how they deal with this news. Methods: The study relied on the descriptive methodology, where the questionnaire tool was used to collect information from the sample members, which were chosen by random probability from the Saudi public. The questionnaire was distributed to groups on Twitter and WhatsApp, and (124) individuals responded. One of the most important questions asked were the true role played by social networking sites in spreading false news, and what are the most important ways in which the public deals with this news. Results: The study found that the majority of respondents agree with a very high degree that social networking sites have increased the speed of spread and circulation of false news. The study concluded that confronting false news with correct facts, data, and information from relevant authorities and jurisdiction helps limit its spread. Conclusions: The study recommended the need to investigate news, and rely on reliable sources to obtain news from social networking sites and not repeat it and re-publish it, only after verifying its authenticity. The need to enact deterrent laws to punish publishers and promoters of false news, benefit from the experiences of other countries at the regional and international levels in the field of combating false news and prevent its dangers.
Determinants of Literacy Levels in Indonesia

The Indonesian government has made efforts to increase literacy rates in Indonesia by providing literacy education program services and developing the community's reading culture. This research aims to find out the influence of the number of schools, electrification level, GRDP and education on literacy in each province in Indonesia. The data in this research comes from the Central Statistics Agency for the period 2020-2022. This research uses panel data from 34 provinces in Indonesia. This research uses panel data combined with time series data from 2020-2022 and cross section data in 36 provinces in Indonesia. The dependent variable in this study is literacy, while the main independent variable here is the level of electrification. The results of this research show that the level of electrification and education has a positive and significant effect on literacy, while GRDP has a negative and significant effect on literacy.
Sistem Informasi Pelayanan Publik Berbasis Web Pada Badan Kesatuan Bangsa dan Politik Provinsi Lampung

Political and National Unity Lampung Affair is an organization that has the task to support the Governor in carrying out the national and political unity in the province. One of the functions is to carry out policies, coordinate, and monitor, and evaluate the foreigners, community organizations, and research in Lampung Province. Political and National Unity Lampung Affair serves the community in the management of permits or research/research recommendations, certificates of foreigners' reports, and certificates of the existence of mass organizations. The government as a public servant is demanded to perform well so that it can produce services truly excellent and based on the community needs. The system development method used waterfall. Tools used for system development include context diagrams and Data Flow Diagram (DFD). The Web-Based Public Service Information System of the Lampung Province National Unity and Politics Agency was an innovation and a transparent and quality information service delivery media that complied with constitutional regulations.Keywords : Information System of Public Service, Web, Waterfall, Information System
Pemanfaatan Kamus Bergambar Sebagai Sarana Peningkatan Literasi Membaca Pada Anak 5-6 Tahun

Reading activity is something that is now rarely done by today's children. One reason is that many of them do not know the meaning of the words or terms contained in the book. That way, they do not fully understand the substance of the book they are reading so they become lazy to read other textbooks. Therefore, it is necessary to introduce a dictionary for them to make it easier for them to find out difficult things from the books they read. In addition, this study also aims to find out other benefits of introducing dictionaries to young children. The research method used in this study is a qualitative approach. The research results obtained from this study indicate that introducing dictionaries to children from an early age can increase their literacy interest in textbooks. In addition, children will become fond of reading books, both science books and children's literature.
Analysis of The Effectiveness of Web Portals used in Academic Institutions of Tribhuvan University

For many academic institutions, the website has been used as a tool for inter- and intra-organizational information exchange. Since universities and colleges have started to use their websites as information centers, effective website design and functionality are very important for higher education institutions to attract students and share information regarding academic activities. The researcher observed various web portals based on the technology used, user perspective, and compatibility of some academic institutions observing that many students spent a lot of time on the Internet than in libraries. A checklist is formed to collect data from the websites and explains it in different tables and figures. Thus, the study is designed to provide insights into ICT colleges' websites' effectiveness. All the websites are based on PHP, mostly WordPress, The use of Bootstrap is quite good, comparatively websites have slow page loading speeds due to the lack of code and image optimization though valid and standardized codes were used. The use of media queries was very impressive but the lack of proper placing of CSS codes made it visually poor on some of the devices. This research explores the effectiveness of portals and websites in academic institutions and some recommendations are made based on the findings.
Implementation of Web Based E-Monitoring for Student Activities Record in SMK Swasta Medan Area 1

SMK Medan Area 1 is one of the educational facilities that want to produce the best students to be able to become the best human resources in the future. The school is one of the secondary schools located in the city of Medan, North Sumatra province. The school provides various educational support facilities for its students so that they can learn to the fullest. For the sake of education progress, this Medan Area 1 Vocational School wants to take advantage of the available facilities and infrastructure, one of which is the internet. The school's need to quickly and easily supervise student activities and the curiosity of parents/guardians for information related to their sons and daughters makes a new need to continue to be able to unite all their children's activities at the school. These activities include attendance, tuition payments, notification of grades and violations committed by their sons and daughters. Therefore, a web-based monitoring application is needed to unify student activities that can be seen from anywhere, especially by parents/guardians. aims to provide convenience to teachers, especially counseling guidance (BK) teachers and web-based students in unifying several student activities including attendance, tuition payments, value notifications, and the method used in making applications carried out through five stages, namely: development problems , data collection for system requirements, system analysis and design, system implementation and implementation, and system testing
إعداد المعجم العربي المصاحب لطلاب الفصل السابع في المدرسة المتوسطه "المنور" بوجونغارا

Mufrodat is an important component of language, because its function is to form sentences or phrases. Of the many dictionaries created by linguists, and the various studies that have been conducted to create new dictionaries in the form of pocket dictionaries, the researcher still has not found a dictionary that specifically explains the material in Chapter VII. Even in the recent development of pocket dictionaries, educators who explain grade 7 material are still too few and require detailed understanding. Because writing a pocket dictionary is still not as short as a dictionary that can be used immediately. So we need a new alternative with a more practical model so that it is easier for students to learn dictionary vocabulary with a basic understanding without difficulty memorizing. This study uses research and development methods. This is a research method used to obtain a certain production. This study resulted from the Arabic language teaching method in the form of an Arabic pocket dictionary. Products are arranged based on teaching materials in elementary school textbook chapters. After the dictionary is written, it is evaluated by design experts, Arabic teachers, and Arabic language experts. Then given to students to help facilitate learning Arabic. Arabic teachers and Arabic subject experts evaluate and provide advice on the design of the resulting dictionaries including: definitions, readings, and suitability for Arabic learning ability levels.
Robust Training with Adversarial Examples on Industrial Data

In an era where deep learning models are increasingly deployed in safetycritical domains, ensuring their reliability is paramount. The emergence of adversarial examples, which can lead to severe model misbehavior, underscores this need for robustness. Adversarial training, a technique aimed at fortifying models against such threats, is of particular interest. This paper presents an approach tailored to adversarial training on tabular data within industrial environments. The approach encompasses various components, including data preprocessing, techniques for stabilizing the training process, and an exploration of diverse adversarial training variants, such as Fast Gradient Sign Method (FGSM), Jacobian-based Saliency Map Attack (JSMA), DeepFool, Carlini &amp; Wagner (C&amp;W), and Projected Gradient Descent (PGD). Additionally, the paper delves into an extensive review and comparison of methods for generating adversarial examples, highlighting their impact on tabular data in adversarial settings. Furthermore, the paper identifies open research questions and hints at future developments, particularly in the realm of semantic adversarials. This work contributes to the ongoing effort to enhance the robustness of deep learning models, with a focus on their deployment in safety-critical industrial contexts.
Pengembangan Media Pembelajaran Mata Pelajaran Desain Grafis Percetakan Berbasis Web Pada Kelas XI SMK Negeri 4 Samarinda

This study aims to provide an understanding of concepts and website learning in printing graphic design learning, along with the times, learning techniques and methods have shifted from traditional teacher-centered patterns to technology-based learning that places students as the main learner (student center). The type of research used is Research and Development (RnD), with the ADDIE development model (analysis, design, development, implementation, evaluation). The era of website-based andriod/desktop learning on the use of the internet as a learning motivator. Vocational high school graphic design teacher, Must be able to create and develop Android/mobile-based learning content in order to be able to attract students' interest during learning, because currently this is the media that students are most interested in and use in everyday life. Needs analysis techniques for making website-based media are software requirements (Windows 10 operating system, Google Sites, and CorelDrawX7), laptop hardware requirements (RAM4. AMD 8) Android hardware (minimum cellphone Helio P60, minimum RAM 1 GB). Data collection techniques with the method of observation, interviews, and questionnaires. The data analysis technique used is qualitative analysis and quantitative analysis. The research subjects involved were 3 media experts consisting of 3 Mulawarman University lecturers. The validators consisted of 1 material expert teacher for the subject of graphic design printing at SMK Negeri 4 Samarinda, and students of class XI DKV SMK Negeri Samarinda. While the object under study is the feasibility of website-based learning media for graphic design subjects, printing, sketching and illustration subject matter.The results of this study are 1)Learning Media Products for Web-Based Printing Graphic Design Subjects 2) The feasibility test can be seen from the results of the test questionnaire obtained by 3 media experts obtained an average value of109.67 which is included in the category of "Very Eligible" and material experts obtained an average value of 42 which is included in the "Decent" category. The conclusion is that this learning media is very feasible to use.