Reviewerly/exHarmony huggingface dataset:
Penentuan Status Penularan COVID-19 di Jawa Timur Menggunakan Metode Fuzzy Tsukamoto

The COVID-19 pandemic is not over, the Coronavirus Disease 19 Pandemic due to the SARS-CoV-2 virus is spreading very quickly in almost every country in the world because of its human-to-human nature. The COVID-19 pandemic in Indonesia was detected in Depok, West Java on March 2, 2020. To deal with this, the government must decide on an efficient policy by observing the atmosphere and situation in each region. The way is through determining the risk status of COVID-19 transmission in an area in order to break the chain of transmission of COVID-19. In Indonesia, it is up to each local government to determine the risk status of Covid-19 transmission at the regional level. This has led to subjective evaluations by local leaders and introduced many unclear definitions and boundaries when determining the risk status of COVID-19 transmission. This is the reason behind this research, where the Tsukamoto Algorithm mathematical calculation form is based on the official variables and regulations in the area concerned in determining the risk status of COVID-19 transmission. The data used is the daily data for COVID-19 districts or cities in East Java. The data used are 38 district or city data groups consisting of 4 variables. The input variables are COVID-19 positive cases, Supek cases, and Probabe cases, and each variable is defined as 3 fuzzy sets, namely Low, Medium, and High. The output variables are defined in 4 fuzzy sets regarding the Risk Status for COVID-19 Transmission, such as the East Java Government regulations, namely the status of green, yellow, orange, and red. All variables use membership function of triangular curve representation. How to analyze data using the SPK-COVID application using the Codeigniter Framework. The success of the estimation form of the percentage of conformity status generated by comparing the results of the Tsukamoto Algorithm analysis with real COVID-19 transmission risk status data. After doing 4 repetitions of the analysis, in which each analysis tries to change the area in the fuzzy set, we get a structure with a percentage of status conformity that is usually 95.51%, on data from 38 districts or cities in East Java.
Development of Android-Based Learning Media in Wide Area Network Technology Courses

This study aims to create and develop android-based learning media in the Broad-Based Network Technology subject at SMK N 1 Tilatang Kamang. This study uses the Research and Development (R&amp;D) method. The research subject is android-based learning media in the Broad-Based Network Technology subject. The validators in this study were two lecturers from Padang State University as Media Experts and two SMK teachers majoring in Computer Network Engineering at SMK N 1 Tilatang Kamang. While the object of research is class XI TKJ students using android-based learning media in the Broad-Based Network Technology subject. The results of the media validation test obtained an average value of 0.88 which is included in the valid product category, and the results of the material validity test obtained an average value of 0.93 which is included in the "Valid" category. Furthermore, in the practical aspect of the learning media, the percentage of assessment by the teacher was obtained with an average of 92.50 while the average rating by students was 94.32 in the "Very Practical" category. And the application of Android-based learning media through the stages of testing effectiveness through tests of student learning outcomes, namely in the form of pretest and posttest. The results of the effectiveness test stated that this Android-based learning media was in the "Effective" category.
PROJECT MANAGER TYPE AND PROJECT SUCCESS

Purpose: In the literature relatively little attention is paid to the project manager's background, i.e., to the importance of whether the project manager is a line manager, a line employee of the organisation in question who is no one's supervisor or whether the project manager is involved solely in project management.The purpose of this paper is to answer the question of how the type of project manager is related to project success.Design/methodology/approach: The research hypothesis was formulated and the results of the empirical studies were presented.The empirical verification of the research hypothesis was accomplished through survey research in Europe and USA.Findings: Based on the empirical data obtained, it was concluded that in terms of all three project parameters (scope, time and cost), the project manager, who is also a line manager, was the most successful.The empirical research indicated a possible relationship between project manager type and project success. Research limitations/implications:In the analysis, it should be borne in mind that there are other several internal and external factors responsible for potential problems in meeting the project scope, schedule and budget.Practical implications: Project management by line managers can be a sound basis for the interaction of processes and projects, manifesting itself, for example, in the transfer of knowledge between processes and projects during the activity of solving problems, especially those lying at the interface of one type of activity and another.Originality/value: The results obtained should draw attention to the need to complement previous research characterising the ideal or effective project manager with a new variable, the type of project manager.
The Role of Cyber Literature in Learning Indonesian Language and Literature in the Digital Era

The rapid development of technology makes a process of change in all aspects of life. Likewise in literary life, changes occur in works, critics, and literary readers. In essence, literature is a work that aims to convey information and become a medium of communication. Technological developments have an impact on the emergence of cyber literature that is developing in the mass media. This article describes the role of cyber literature in learning Indonesian language and literature in the digital era. The method used in this paper is descriptive qualitative with the type of qualitative research. The discussion in this article is (1) cyber literature, (2) the impact of cyber literature, and (3) the role of cyber literature in learning Indonesian language and literature.The result showed that The negative impact is the plagiarism of literary works. However, the positive impact of cyber literature is that it provides an opportunity to express ideas and creative writings.&#x0D;
Improving Student Learning Outcomes in Online Learning by Using Electronic Teaching Materials

The availability of teaching materials that can be used in distance or face-to-face learning causes teachers to rely only on one book in learning. It causes learning to be monotonous, and students have no interest in learning. This study aims to develop illustrated electronic teaching materials for fifth-grade elementary school classroom building materials that have been declared valid and feasible, and have effectiveness in the learning process. This research is development research with a research model using the ADDIE model. The subjects in this study were experts, three teachers, and 68 fifth-grade elementary school students. The data collection technique uses instruments such as an assessment sheet and a questionnaire. The data were analyzed in the validity phase using the Gregory formula, the validity of the tabulation calculation results was calculated to find the percentage, decision making related to the responses of students and teachers using a Likert scale with five alternative answers, and effectiveness using a normalized score showed the level of treatment effectiveness from the score or posttest. Obtained from content and media experts, the overall design is very good, for the response of teachers and students as a whole gets a very positive response, and the effectiveness gets high criteria. Based on these results, it can be said that the electronic teaching materials developed are valid and effective.
Presenting a method to detect intrusion in IoT through private blockchain

Blockchain (BC) has been used as a new solution to overcome security and privacy challenges in the Internet of Things (IoT).However, recent studies have indicated that the BC has a limited scalability and is computationally costly.Also, it has significant overhead and delay in the network, which is not suitable to the nature of IoT.This article aims at implementing BC in the IoT context for smart home management, as the integration of these two technologies ensures the IoT's security and privacy.Therefore, we proposed an overlay network in private BC to optimize its compatibility with IoT by increasing scalability and reducing network overhead and response delay.Devices with high-level resources (Computer, Mobile, etc.), named block managers, establish a two-dimensional overlay network that helps block managers to communicate with their neighbors' block managers.Their communication aims at managing the BC according to the trust and voting mechanism.Trust, encouragement, and penalties help the blocks to ensure accurate transactions.Our proposed private BC model provides the first solution for managing IoT transactions in overlay networks.Our experimental results showed that the proposed mechanism reduces packet overhead and delay in service delivery while increasing the BC's scalability in comparison to the state-of-the-art BC models.By limiting the number of effective block managers in voting, we could significantly reduce the average approval time of the blocks.
Diacritics correction in Turkish with context-aware sequence to sequence modeling

Digital texts in many languages have examples of missing or misused diacritics which makes it hard for natural language processing applications to disambiguate the meaning of words.Therefore, diacritics restoration is a crucial step in natural language processing applications for many languages.In this study we approach this problem as bidirectional transformation of diacritical letters and their ASCII counterparts, rather than unidirectional diacritic restoration.We propose a context-aware character-level sequence to sequence model for this transformation.The model is language independent in the sense that no language-specific feature extraction is necessary other than the utilization of word embeddings and is directly applicable to other languages.We trained the model for Turkish diacritics correction task and for the assessment we used Turkish tweets benchmark dataset.Our best setting for the proposed model improves the state-of-the-art results in terms of F1 score by 4.7% on ambiguous words and 1.24% over all cases.
Taking the Road of Socialism with Chinese Characteristics Must Be Guided by Scientific Theory

The CPC has grown from a weak baby to a giant leading China to the forefront of the world. In the great era, only the theoretical system, the magnificent scientific theory and the great journey of the Chinese nation were produced. Through constant exploration and exploration, the Party and the people have developed a path of socialism with Chinese characteristics that is unique to China. Thought is the guide of action, and theory is the guide of practice. Theory should be used to guide practical action, analyze and explain practical problems. Therefore, scientific theory must be taken as the guide to take the road of socialist development with Chinese characteristics.
Digital Literacy Readiness of Graduates of Philippine Higher Education Institution

The critical thinking and evaluation skills that are so important for employment in the digital age, which is frequently distinct from the institutional setting, were reinforced by instruction in digital and information literacy.The purpose of CNU-Balamban Campus as a higher education facility is to equip students with the skills necessary to adhere to a prescribed curriculum and adjust to workplace needs, enabling graduates to make the best decision possible.A digital literacy assessment of the alumni's skills was carried out to determine how equipped they are to operate in the hotel and tourism industries.Data were collected from 117 graduates of Bachelor of Tourism Management Program.A digital literacy skills list was used to assess the level of confidence based on its identified range.Data collected show the premier level of understanding digital practices skills by the graduates.Aside from the digital knowledge skills, knowing what categories of users you can expect to find online were notable responses.The graduating class preferred using social networks as a source of information when it came to information discovery skills.They were also most interested in using information abilities in a variety of media.Using a Pearson r outcome, reveal a significant relationship between the levels of digital literacy skills of the graduates.It was shown that as the level of digital literacy skills increases, the digital literacy skills correspondingly increase.It was apparent that the digital literacy skills of the graduates were significantly related to the level of confidence to find and use information.Undoubtedly, what goes beyond this is expanding the scope of the endeavor to include communication, teamwork, and collaboration as well as social awareness in the digital world, a comprehension of e-safety, and the timely generation of fresh material for the millennial generation of today.
Central Bank Digital Currency: the Next Money Revolution? : Central Bank Digital Currencies in the Dimension of Geopolitics

Throughout history, financial innovation was always interlinked with shifts in the word’s economic centre of gravity and the emergence of new power hubs. Nowadays, the huge interest in central bank digital currencies proves that we must have arrived at a new turning point in the development of money. Most studies, however, focus on financial issues related to CBDCs, and only few embark on discussing historical analogies and geopolitical consequences in a comprehensive way. Our study aims to deliver such an analysis. According to the results, the revolutionary effects of CBDCs might arise from re-modelling cross-border payments, i.e., achieving direct (atomic) transactions through multilateral platforms. The remarkable results of China in developing the digital yuan, and most importantly, acquiring a key role in international projects, reinforce the geopolitical trends of the last decade. Global or regional standard-setting will be a critical question, and in this regard, there is still some room for manoeuvre on the side of the U.S. which started its own CBDC development (Project Hamilton) belatedly. In the long run, it might be realistic to expect a scenario in which the global financial system is divided in two parts, a Western and an Eastern one.
Palynofacies and sea level changes in the Upper Cretaceous of the Yola Basin, Northern Benue Trough, Northeastern Nigeria

Upper Cretaceous sediments (Numanha and Lamja Formations) in the Yola basin of Northern Benue Trough have been investigated in order to characterize the particulate organic matter (POM) in the samples. The aim is to understand the rapid facies changes in both vertical and lateral direction of the formations and the relative abundance of the different organic components within the sections. The investigation involved 62 samples from four outcrop sections. The analysis involved series of laboratory procedure ranging from sample preparation, chemical treatment with HCl and HF, sieving, slide cover and completion then the counting of 300 particles per sample. The samples yielded sufficient organic residues for detailed palynofacies analysis. The organic constituents observed in the studied samples have been classified into phytoclast, palynomorp and amorphous organic matter groups. The phytoclast group predominates in almost all the sections followed by the palynomorp group with little amount of amorphous organic matter (AOM). The palynofacies parameters used for the study are the continental/ marine and opaque/translucent ratios which led to the construction of the sea-level variation pattern for the formations using Tilia 2.0.2 program.
Exploration of Cost Accounting Talent Training Mode Based on Serving Shaoxing Local Economy

The rapid development of the economy requires a large number of qualified accounting talents to serve the local economy, and the training of applied accounting talents is an important driving force for the development of the local economy.Therefore, the accounting talents cultivated by colleges and universities must not only adapt to the static demand for application-oriented talents in local economic development, but also adapt to the dynamic demand for application-oriented talents such as industrial structure and industry changes in local economic development.In this way, the benign interaction and integration of accounting education and the local economy can be achieved.
Real-Time Detection and Early Warning System for Public Security Key Places Based on Human Posture Characteristics

Detention places, as an important part of police’s safe of law enforcement, are receiving more and more research attention. We are aiming to apply advanced information technology to the field of detention places and build an early warning prediction model that can improve the security of detention places. This research can accumulate some experience for follow-up technological development in the field of detention places’ supervision.
DECISION SUPPORT SYSTEM FOR HYDROPONIC VEGETABLE SEED SELECTION USING EXPONENTIAL COMPARISON METHOD

The issue of food security is not only the task of farmers, therefore starting to participate in growing vegetables at home through hydroponic techniques can be a solution. Hydroponics is one solution for urban farming or farming activities independently in urban areas in Indonesia. In order to get an abundant harvest on limited land, it requires quality seeds. Good vegetable seeds hold the key to determining a good harvest too. So, you should not carelessly buy vegetable seeds to grow vegetables hydroponically. But the problem is, with so many vegetable seed products for hydroponics on the market, it makes someone confused to choose the right product that suits their needs. The main purpose of this research is to develop a decision support system for selecting hydroponic vegetable seeds with a website-based Exponential Comparison Method to facilitate decision makers in determining the right seeds and according to their needs. The Exponential Comparison method can perform a priority order of decision alternatives on existing criteria and can distinguish the value of each alternative in contrast. The decision support system developed produces calculations using the valid Exponential Comparison Method because the results are in accordance with manual calculations. In addition, based on the black-box testing technique, it shows that the system built has been running well.
Analysis of Artificial Intelligence Applied in Virtual Learning Environments in Higher Education for Ecuador

Artificial intelligence in virtual learning environments in higher education for Ecuador continues to be a problem because there is no adequate analysis. The objective of this research is to carry out the analysis of artificial intelligence applied in virtual learning environments for higher education. The deductive method and exploratory research were used to analyze the problems that arise from properly applying artificial intelligence in virtual environments. Turned out a Prototype of Virtual Environments based on AI, considering all the necessary processes for an adequate virtual environment. It was concluded that for an adequate solution of virtual environments based on artificial intelligence, the characteristics, capabilities, virtual community and IT infrastructure must be defined, where it will be applied, knowledge and digital material information, AI components, among others.
DISEASE DETECTION EXPERT SYSTEM IN WATERMELON PLANTS USING CERTAINTY FACTOR METHOD BASED ON MOBILE

Watermelon is one of the fruit commodities currently being developed in West Nusa Tenggara by making Central Lombok Regency as its production center. The problems that are often faced by farmers in watermelon farming, apart from pests, watermelon plants are also often affected by diseases that cause the plants to wilt and then dry, white spots on the flesh, the growth of leaves and small fruit so that it has an impact on decreasing productivity caused by lack of knowledge farmers in recognizing and dealing with diseases in watermelon plants so that they are often mishandled. This research was conducted with the aim of producing an expert system that can be used to detect diseases in watermelon plants and provide solutions for handling them so that watermelon farmers can make prevention and treatment efforts quickly before the disease is transmitted to many other watermelon plants. This expert system was built with the Mobile-based Certainty Factor Method with the Android operating system so that it can be downloaded in the Playstore by watermelon farmers or anyone who needs it so that it is expected to help farmers detect diseases in watermelon plants and provide appropriate handling steps based on related theories.
Research on Intelligent Research Model of Clues in Cases of Production and Sale of Counterfeit Drugs

This model takes the vigorous promotion of the construction of “smart policing” and the construction of a modern police system as the background, creates a data-based, technology-based, vigorously improves the analysis and mining capabilities of public security organs on the hot issues of counterfeit drug crimes, and transforms the traditional post-processing and passive response methods of police work to the direction of pre-prediction and active intervention. At the same time, drawing on the design ideas of the system architecture, the model system is layered and decoupled, creating a multi-channel data collection, to case text preprocessing and standard definition, forming a “four-category personnel database”, and then classifying according to the theme of public security business to achieve a criminal model of production and sales of counterfeit drugs The overall framework is reused vertically in the field and flexibly extended horizontally.
IMPLEMENTATION OF HASHLIPS ART ENGINE TO EARN IMAGE VARIATIONS ON NON-FUNGIBLE TOKEN (NFT)

Non-Fungible Token (NFT) is a blockchain-based token that securely maps copyright ownership to digital assets, these digital assets exist on the blockchain network which have identification codes and metadata that are unique and different from each other (one-of-the-kind). . It can also be interpreted as a digital asset that represents a variety of assets that are considered unique. NFTs can be traded for digital assets (images, music, videos, virtual creations) where ownership is recorded in a smart contract on the blockchain. One of the difficulties faced is that it takes a very long time for NFT creators to create a large number of works of art in a short time. To make it easier for creators to create NFT images, Daniel Eugene Botha, or better known as Hashlips, created a Hashlips Art Engine algorithm that can be used to create many different NFT images based on the layers provided using the canvas API and node.js. The hashlips algorithm also generates metadata as an important role in the mechanism for searching and exchanging NFT data and measuring the percentage of rarity in the resulting image. In addition, this study also shows the time required to create NFT images.