Reviewerly/exHarmony huggingface dataset:
Blockchain-Based Data Storage System for Electricity Market

With the rapid development of the electricity market, businesses such as market regulation and market dispute resolution are facing significant challenges. The reliable storage of business data is the key foundation for solving these problems, blockchain technology provides us with new idea. In this paper, we comprehensively considered the characteristics of both electricity market and blockchain technology, then designed the Electricity Market Alliance Chain and implemented a blockchain-based data storage system for electricity market. The system achieved more than 1.3 million market data on-chain storage, and realized the full life cycle traceability mechanism of transaction and settlement business. Based on the data on the blockchain, Green Electricity Usage Certificates are generated and issued for market members by smart contracts, which provide an important reference for carbon emission verification in a transparent way. At last, we designed a set of experiments to test the performance of the system, and the results prove that it can fully meet performance requirements.
Elevating ‘e’ in RSA: A Path to Improved Encryption Algorithms

As the world increasingly relies on the internet for critical communication and the exchange of personal information, security concerns are at an all-time high. But do heightened security measures solely offer peace of mind to the paranoid, or do they serve as a fundamental safeguard for all users? With billions of people using the internet for business, social interaction, and the transmission of an ever-growing amount of data, the importance of security cannot be overstated. Our study proposes a modified version of the traditional RSA algorithm where the encrypting variable “e” is modified, rather than being transmitted as the public key. This approach offers a significant advantage as it only requires a single key pair for communication with an unlimited number of parties. A unique security and key generation process have been completely tested and compared to the RSA system. The results show that the new approach not only provides good security but also speeds up key generation. Thanks to a single key brace, communication between multitudinous parties is both safe and simple with this innovative approach. The RSA system was a notable achievement in the wisdom of cryptography since it was the first to allow for both signing and breaking using public key cryptography, opening the path for further advances. The RSA algorithm, a well-known public-key encryption approach, was a significant step forward in the science of cryptography. It set the path for subsequent improvements as the first technology that could be used for both signing and encrypting utilising public key cryptography. RSA encryption's security is based on two fundamental mathematical challenges: brute force (trying every conceivable private key) and mathematical attacks (factoring the product of two primes in multiple ways). The security of the RSA method is increased in this work by altering the public keys “e” value. This method is more secure than RSA because it is founded on the factoring problem.
FPGA Architecture of Bilateral Filter for Image-Denoising

Denoising a picture is an essential activity in the area of image processing and has a wide variety of applications, spanning from computer vision to medical imaging. In this scenario, the Bilateral Filter has emerged as a potent tool that successfully reduces noise while still keeping information about the edges of the image. In this article, an FPGA architecture for a wavelet-based Bilateral Filter that is intended to speed up picture denoising operations is presented. Real-time denoising of high-resolution photographs may be accomplished with the help of the suggested FPGA design, which makes use of the parallel processing capabilities of FPGAs. Because it uses a method that is based on wavelets, the filter not only maintains the picture features but also adjusts to the local characteristics of the image, which enables it to function reliably in a wide variety of contexts. The experimental findings show that the FPGA-based Bilateral Filter is successful in denoising pictures while yet maintaining a low latency. When compared to software-based solutions, the performance of the suggested architecture is much higher, which makes it an extremely useful tool for picture denoising in settings where resources are limited.
SISTEM INFORMASI FITOFARMAKA (SIFITA) BERBASIS WEB SEBAGAI SUMBER INFORMASI APOTEKER

Pharmaceutical services are a direct and responsible form of service for pharmacists in Indonesia to provide pharmaceutical preparations to patients. One of the pharmaceutical preparations given is traditional medicine. Phytopharmaca is a form of traditional Indonesian medicine that comes from plants that have undergone pre-clinical trials and clinical trials that can be submitted by pharmaceutical staff. In the Era 4.0 of the industrial revolution, it is very possible for services to be made easier when accessing information systems because it is faster so that it can maintain patient trust. Advances in technology in all fields can bring many benefits, one of which is in the pharmaceutical world. The information system was built on a web basis so that it is easy to use because it can be accessed via various electronic media such as laptops, PCs or gadgets and can be accessed at any time via the internet network. With this convenience, many users from pharmaceutical and non-pharmaceutical personnel will be able to get information from phytopharmacies circulating on the market. The aim of this research is to create a web-based information system as a source of information for pharmaceutical staff about Phytopharmaca. The research design was experimental, descriptive qualitative with a triangulation method by means of observation, interviews and official literature review in FGD. The instrument used is a Depth Interview sheet which has been reviewed by experts. The result of this research is a Web-based Information System which contains content regarding Phytopharmaca as a source of information for pharmaceutical personnel with features that pay attention to content, format, accuracy and ease of use with the name SIFITA. The menu in SIFITA is a list of phytopharmaca, phytopharmaca product gallery, profile, contact, knowledge about phytopharmaca complete with photos and regulations which can be downloaded.&#x0D;
Revitalisasi Kecakapan Literasi Informasi Pustakawan Sekolah Melalui Pelatihan Operator GScholar Advanced Search

Purpose: School librarians, although proficient in various search engines, often face challenges in effectively accessing and utilizing resources, particularly the members of the Lampung Province Indonesian School Library Staff Association (Asosiasi Tenaga Perpustakaan Sekolah Indonesia/ATPUSI). The core aim of this project is to enhance the efficient and productive use of global technology. Methodology: Google Scholar (GScholar) Advanced Search Operators Technology Training was introduced as a community service activity to boost ATPUSI members’ information literacy skills. This involved active participation in Focus Group Discussions and offering instructional resources on how to use Google Scholar technology effectively. The service was executed in July 2023, incorporating teaching methods, such as lectures, question-response interactions, and specific evaluation methodologies. To gauge the comprehension level, an evaluation was conducted using pre-set questionnaires in both pre-test and post-test formats. Results: The outcome of this service shows an improvement in the perception and efficiency of school librarians regarding the use of advanced search operators for information retrieval. In addition, there seems to be increased awareness and understanding of the significance of precise information in promoting the growth of information literacy skills among beneficiaries. Limitations: The training was tailored for ATPUSI members; therefore, generalizing the results to other school librarians or regions requires caution. Additionally, unmentioned factors such as librarians' technological infrastructure, prior experience with similar tools, and ongoing professional development could have affected the outcomes. Contributions: Community services improved the information literacy skills of ATPUSI members. This outcome is important because it shows the progress in information literacy in education. The training program equips librarians with access to and leverage reliable information sources effectively.
Penentuan Kluster UMKM Sektor Perdagangan dan Perikanan Melalui Pendekatan Metode Clustering Data Mining di Kabupaten Aceh Barat

So far, small and medium enterprises (MSMEs) have shown a contribution of 61.7% to GDP, or IDR 8,573.89 trillion. Apart from that, MSMEs can absorb around 97% of the national workforce. However, in reality, MSMEs face many problems, one of the most common being a lack of business capital. One of the factors causing the slow growth of MSMEs in Indonesia is development policies that are not on target. This is especially true for this research in West Aceh District. Each MSME is unique, making it difficult for banking institutions to establish consistent financing policies. This research aims to map the characteristics of MSMEs in the form of groups to make it easier to determine policy-making patterns. The Hierarchical Data Mining Clustering Method is considered appropriate because it has a much lower bias than K-means. Apart from that, this method can reduce data complexity. According to the results of data distribution for MSMEs in the fisheries sector using Matlab 2016b software, there are 6 clusters, and the results of data distribution for MSMEs in the trade sector using Matlab 2016b software show 7 clusters. Each cluster has main parameters that make MSMEs superior, such as length of business, capital ownership, sales projections, and average sales. For the last parameter.
Peran Guru dalam Pembelajaran Membaca dan Menulis Siswa SD Kelas Rendah

This research was carried out at SDN 06 Rejang Lebong in the second semester. The problem identified in this research was the lack of reading and writing skills among lower class students. Aims to describe reading errors and writing difficulties in lower grade students and describe the role of teachers in improving reading and writing skills in elementary school students. Using a qualitative approach with the type of research being descriptive. The subjects of this research were the school principal, teacher council, and lower grade teacher. Data collection by observation, interviews and documentation. Data analysis uses three stages consisting of data reduction, data presentation, and drawing conclusions. Inspection or checking the validity of the data is carried out using technical triangulation and source triangulation. The results of the research show that the forms of reading errors in lower grade students are children's difficulty recognizing the letters of the alphabet, errors in reading each word, and errors in pronunciation of words and use of lip movements. Meanwhile, the forms of writing errors include errors in writing words or sentences and errors in writing numbers. The role of the teacher in improving the reading and writing skills of low grade students includes: (1) the teacher acts as a demonstrator in learning activities, (2) the teacher acts as a class manager, (3) the teacher acts as a learning mediator, (4) the teacher acts as a facilitator in learning (5) )teachers also act as motivators for students. Things that hinder teachers' efforts include student motivation, student interest in learning, students' seriousness in learning and teachers' learning methods that are still contextual, as well as things that support the teacher's role include adequate school facilities and support from the school principal in learning.
Formation of a Paradigm for Designing Cyber-Physical Systems: Educational Perspective

The subject of the article is the process of forming a paradigm for designing cyber-physical systems. The object of the work is cyber-physical systems. the purpose of the work is to increase the efficiency of cyber-physical systems in the economy and society. To achieve this goal, the following tasks are solved: the formation of a paradigm for designing cyber-physical systems. descriptions of methodological provisions of the general theory of cyber-physical systems. descriptions of the factors generated by the general theory of cyber-physical systems to increase the effectiveness of such systems. General characteristics of methods of design and research of cyber-physical systems at all stages of their life cycle. description of the content of new academic disciplines in the field of design and research of cyber-physical systems. Methods of the article are philosophy and methodology of science, theory of hierarchical systems, theory modeling, historical and system analysis, and theory of technological structures. The scientific novelty of the article is associated with the formation of the design paradigm of cyber-physical systems and the creation of a general theory of cyber-physical systems.
Animation for Educating, Socializing, and Giving Understanding Characteristics of Malnourished Children

This study aims to determine the effect of educational socialization using animation media on the level of understanding of the characteristics of malnourished children in the residents of Cigugur Girang Village, Parongpong, Indonesia. The study was conducted on 20 residents of the village of Cigugur Girang Parongpong, Indonesia. The age range of the respondents is 20-60 years. Respondents consisted of 3 men and 17 women. The research was conducted in 3 stages, namely (i) pre-test; (ii) education through animation media; and (iii) post-test. The results showed that the average pretest score was 73.5 and the post-test average was 94.75. The results of the comparison of the pretest and posttest showed an increase in respondents' knowledge after the action was taken. The results of the N-Gain calculation show that the average N-Gain value is 21% (N-Gain 40%) indicating that animation media as a way of educating the characteristics of malnourished children is not effectively used in the community. This is because the community's pre-test scores are quite good, so it can be seen that the knowledge of characteristics of malnourished children is already known by the community. As for the results of the calculation of the t-test, it is known that the t-count (-8.213) t-table (2.086) means that the post-test score of the students increased not significantly. With the completion of this research, it is hoped that more people will know about the characteristics of malnourished children. Thus, the phenomenon of malnourished children can be tackled earlier.
Redefining Service Work: The Role of AI in Restructuring Employee Participation

The use of AI in better service delivery is common. Different types of AI are developed: Mechanical, Thinking, and Feeling AI. Each AI technology has its strengths and drawbacks. There are anticipations that AI may replace human beings in service. However, not many studies have delved into this issue by simultaneously analyzing the value of AI technology and human employees and considering current and future trends. Thus, this essay will address this gap by concluding that Mechanical AI can be applied to complete standardized tasks; Thinking AI assists in identifying new opportunities, customizing services, and making more sound decisions; and Feeling AI can interact with customers, providing general emotional support. However, human employees should complete tasks regarding an advanced level of service as they possess self-consciousness and genuine emotions. Moreover, in the light of the Feeling Economy, jobs will become people oriented. It is necessary to keep and expand people’s specialty.
A study on the differences in the effect of persuasion of MICE participants according to the type of online information media - Focusing on the visitors to the exhibition during the COVID-19

This study was conducted to understand the persuasion effect of exhibition visitors on the types of online information media during COVID-19, and to derive academic and practical implications through this. The types of online information delivery for the exhibition were divided into the official website, Internet portalsite, Social Network Service, and e-mail including newsletters. And media reliability, information reliability, and persuasion effects were used to understand the characteristics of each type. Analysis data were collected through an online survey of visitors who had experience visiting the exhibition during COVID-19. A total of 302 copies of data were used for analysis. As a result of the study, it was analyzed that there were differences in media reliability, information reliability, and persuasion effect by type of information media at the exhibition, and the official website was the highest in all areas. This can be interpreted as a higher recognition of the reliability of the information directly provided by the organizer in crisis situations such as COVID-19. In addition, newsletters such as e-mails were evaluated relatively low in media reliability and information reliability, but showed high persuasion effects. This can be considered the high utility of newsletters such as e-mails as a tool for decision-making by visitors. Unlike many studies that show that exhibition information quality and reliability affect MICE participants' attitudes and behavioral intentions, this study is meaningful as an academic verification that there may be differences in reliability and persuasion effects for each type of information provision. It is also significant in that it is a study that can help predict participants' behavior during the COVID-19 period that brought great difficulties to the MICE industry.
PERAN MOTIVASI BELAJAR SEBAGAI MODERASI ANTARA GAYA MENGAJAR GURU DAN FASILITAS BELAJAR TERHADAP HASIL BELAJAR KOMPUTER AKUNTANSI DI SMK SWASTA KECAMATAN PULOGADUNG JAKARTA TIMUR

This study examines how learning motivation affects the relationship between teacher teaching style and learning facilities on computer accounting learning outcomes in Private Vocational High Schools (SMK) in Pulogadung District. 89 students from four randomly selected private vocational schools participated in the study. Teacher teaching style was measured using a questionnaire focusing on interactivity and teacher involvement. Learning facilities were assessed based on availability and infrastructure. Student's learning motivation was measured using a scale of intrinsic and extrinsic motivation. Data collection techniques included tests, questionnaires, and documentation. Various techniques, such as validity and reliability tests, multiple linear regression, hypothesis testing, and moderation tests, were used to analyze the data. The results showed that teacher teaching style positively influenced learning outcomes, while learning facilities did not have a significant effect. Learning motivation moderated the relationship between teacher teaching style and learning outcomes, but not between learning facilities and learning outcomes. Overall, both teachers teaching style and learning facilities had a simultaneous influence on computer accounting learning outcomes.
A Conceptual Framework for Designing Hologram-Based Education Systems

The use of computer and associated network to provide learning through virtual learning systems have become a means of supplementing the existing traditional teaching method. This innovation, when enhanced through inclusion of hardware objects with capability of interactivity, will further improve learning outcomes and generally improve the quality of education. A Conceptual Framework for the development of Holograms as teaching aid is proposed. A study of various researches and frameworks that target the quality of education was carried out. This work adopted the Tikly Quality Education Framework and based its framework on the ICT sub system of (Tikly, 2011). The Conceptual Framework will provide a blueprint for the processes of a Hologram-Based teaching system which starts with requirement gathering, design, development, with subsystems for tools, techniques and technologies as well as stake holders and human resources. Keywords: SDG 4, Quality Education, IDP, Holography, Virtual Reality, augmented reality, Internal Displacement, Optics waves. CISDI Journal Reference Format Olebara, C.C. (2020): A Conceptual Framework for Designing Hologram-Based Education Systems. Computing, Information Systems, Development Informatics &amp; Allied Research Journal. Vol 11 No 2, Pp 194-199. Available online at https://www.isteams.net/cisdijournal. dx.doi.org/10.22624/AIMS/CISDI/V11N2P12
Framework for Generation of Annotated Corpus for Recognition &amp; Categorization of Geo-Political Entities from Indian Election Domain

This paper presents a comprehensive framework for generating an annotated corpus that facilitates the recognition and categorization of geo-political entities within the Indian Election domain. It focuses on the generation of an annotated corpus and the development of a customized Named Entity Recognition (NER) model for the identification and categorization of geo-political entities within Indian Election domain text. The entities of interest include states, districts, parliamentary constituencies, and assembly constituencies. The proposed work involves extensive research and data analysis from various resources such as ECI Publication manuals, several websites, Wikipedia, among others. The collected data is then annotated using the specialized annotation tool called Prodigy. Subsequently, a customized NER model is built and trained using the annotated data. The performance of the developed model is thoroughly tested and analyzed. The results of this project indicate the successful generation of a dataset specifically tailored for the Indian election domain, achieving an accuracy rate of 68%. Additionally, a framework is established for the generation of similar datasets in the future. It combines data analysis, annotation techniques, and machine learning to create a robust NER model that can effectively recognize and categorize geo-political entities in Indian Election domain texts. The generated dataset and framework contribute to the advancement of natural language processing techniques in the context of political analysis.
Emotion Based Mental Health Classifier for NCR Based Engineering Students

Having a healthy body and mind is referred to as personal well-being. The human race is faced with great psychological strains in the current environment of rapid commercial development and pandemics. India is the nation with the highest burden of mental and behavioural illnesses as per a report by the world health organization for national care of medical health (NCMH, 2017) more than 300 million people experience depression on a global scale. The paper discusses a system named EMHC (Emotion Based Mental Health Classifier), which takes into account both categorical and sentimental attributes in order to classify students based on their Mental Health status. The system uses well established Machine Learning algorithms like DeepFace, K-means Clustering and Support Vector Classifier in order to classify students. The study classifies students under three categories: Good, Moderate, and Bad Mental Health. The Data for training and evaluating the system same was collected through a Web Application, whose link was shared among the students of the several Universities in India(NCR region) and the question in the Web Application were taken from [1] and [2]