Reviewerly/exHarmony huggingface dataset:
Application of Blockchain in the World of Finance &amp;amp; Business

The purpose of this research was to explore specific ways in which blockchain can be used in the world of finance and business. Blockchain can be used for global inclusion in the domain of finance. It can be used to remove multiple intermediaries in businesses and also make transactions much more secure and trustworthy. Distributed ledger technology can be used in negotiating value, insurance, reducing transaction costs, contracting for future trading, and setting up new business models. The following establishes the application of blockchain in these fields to improve its existing state. Blockchain can also make central banks reconsider their system. Using smart contracts and autonomous agents transactions can be made smooth and secure for all parties involved.
SOSIALISASI PENGGUNAAN TED TALK VIDEO DALAM MENGEMBANGKAN KEMAMPUAN SPEAKING

The purpose of this community service is to develop the Speaking skills of the second class of the students of SMK Negeri 3 Gunungsari Lombok Barat through the use of TED Talk Videos. Listening to TED Talks Video can provide an overview of content structure, make content understanding more optimal, also facilitate the teaching and learning process in more depth, and make learning more stimulating because it applies new models in learning. Through the TED Talk Video, we can learn about the ability to speak effectively in public and learn how intonation, body movements, eye contact, and control awareness without anxiety, can boost students' self-confidence. Conduct socialization and education regarding efforts to develop speaking skills by using TED Talks Videos as a solution that can be used to overcome the English-Speaking Skill constraints of students at the[i] second class of SMK Negeri 3 Gunungsari Lombok Barat.
Independently Convolutional Gated Recurrent Neural Unit for Space based ADS-B Signal Separation with Single Antenna

Abstract Automatic Dependent Surveillance-Broadcast (ADS-B) is a critical technology to transform aircraft navigate through improving safety, efficiency, and overall effectiveness in the aviation industry. However, ADS-B signal overlapping is a large challenge, especially for space-based ADS-B system. The existing traditional methods cannot effectively separate overlapping signals with small difference such as power difference, carrier frequency difference. To solve this problem, we propose Independently Convolutional Gated Recurrent Neural Unit (Ind-CGRU) to build the encoder-decoder network. And Ind-CGRU explores the more temporal relationship of ADS-B signal to generate effective separation mask and improves the ADS-B signal separation performance. Experimental results on SRADSB dataset, demonstrate that the proposed Ind-CGRU achieves the good performance.
PELATIHAN PENGGUNAAN APLIKASI MENDELEY BAGI MAHASISWA PGSD TINGKAT AKHIR DI INSTITUT PENDIDIKAN NUSANTARA GLOBAL

The participants in this community service activity were PGSD students at the Nusantara Global Institute of Education, especially students who were in the process of compiling scientific papers. This PKM activity uses lecture, practice and question and answer methods. Based on the results of this training activity it was found that during the Mendeley training activities the participants were very enthusiastic as can be seen from the responses of the participants who actively asked when they experienced difficulties. From the results of discussions conducted with students, it was clear that making a list of references was indeed an obstacle for them. Therefore, the PKM implementation team wanted to motivate students that training in using the Mendeley application could help make it easier for them to enter reference lists automatically.
The Importance of Visual Learning Media Innovation in Facilitating the Ability to Recognize Letters of the Alphabet for Children Aged 4-5 Years

A person in early childhood is at a fundamental age, and children need to be properly stimulated in a number of areas of development. One aspect of development that needs to be stimulated is the aspect of language development and one of the language skills is reading. One of the basic aspects of reading skills that needs to be stimulated in early childhood is the ability to recognize letters of the alphabet as a basis for learning to read at an early stage. In this regard, research was carried out using descriptive qualitative methods at RA Assidiqiyyah and RA PUI Al-Fatwa. The research was intended to find out educators' understanding of the importance of visual learning media innovation in facilitating the ability to recognize letters of the alphabet, the ability of children aged 4-5 years to recognize letters of the alphabet, and the use of learning media to facilitate the ability to recognize letters of the alphabet for children aged 4-5 years. From the research that has been done, it is found that the media used is still not innovative, even though educators understand the importance of visual media innovation very well.
Workshop on Steam Learning Strategy Development with Loosparts Media for Kindergarten Teachers

This workshop activity aims to assist teachers in developing Steam learning strategies with loose part media for teachers at RA Maarif Candran Godean Yogyakarta Kindergarten. The subjects in this workshop were RA Maarif Candra Kindergarten teachers in Yogyakarta, totaling 11 people. The stages of the work shop carried out are debriefing, mentoring, implementation and evaluation. The result of the workshop implementation was an increase in teachers' knowledge in developing learning strategies for the Steam model with loose parts media as seen from an average pre-test of 10.45 with an initial indication of moderate teachers and an average post-test of 18.02 with an indication of teachers' knowledge in the development of learning strategies for the Steam model and Media Loosepart increased. After participating in the training activities, the level of understanding of teachers increased as seen from the results of observations showing that 91% of teachers were able to design and implement STEAM learning strategies with loosepart media.
Quantum Simulation of the Shortcut to the Adiabatic Passage Using Nuclear Magnetic Resonance

Quantum adiabatic shortcut technology provides a technique to accelerate the quantum adiabatic process and has been widely used in various fields of quantum information processing. In this work, we proposed a two-level quantum shortcut adiabatic passage model. Then, exploiting the nuclear magnetic resonance, we experimentally simulated the dynamics of quantum shortcut adiabatic passage using the water molecules.
Simple and Multi Risk Assessment Framework for Information Security using Process Flow Diagram

Organizations need a simple risk assessment framework to understand them. In contrast, risk analysis requires some mathematical tools to be able to estimate risk based on understanding and availability. In practice, the assets, for which the risk will be calculated, are dependent on one another, resulting in inevitable complexity. We propose a framework that addresses these three situations with a process flow diagram. Simplicity is obtained from a conceptual model based on data flow diagrams which are widely used in information system design. This conceptual model can be translated into several risk models at once: graph, Boolean algebra, Boole’s algebra, and set theory. The complexity of asset dependencies is overcome when translating the conceptual model to the risk model. Solutions were shown in case studies of information systems for COVID-19 personal protective equipment in Indonesia, which require the construction of a simple information system, support multiple risk models, and take into account asset dependencies. The multi-risk model enables implementation proofing by testing the risk models used in each other.
Development of Teaching Materials in the Form of E-Books Assisted by Professional Flip Pdf Applications with the Theme of Environmental Conservation to Empower Environmental Care Attitudes

The development of an e-book with the help of a professional flip pdf application with the theme of environmental preservation is motivated by the learning objectives of Natural Sciences (IPA), including to foster a positive attitude and students' awareness of the importance of protecting the environment. Achievement of research objectives in e-book development to empower students' environmental care attitudes through a series of activities contained in e-book systematics. This research was conducted in December 2022. The research method used was Research and Development RD, the research design used Borg and Gall and used 7 of 10 simplified research stages, adjusted based on research and development needs, namely up to the product revision stage. The instrument used was a validation sheet for the validity test which was carried out by 3 validators namely teaching material experts, material experts and science subject teachers. The development of the e-book is carried out using indicators of environmental care, namely Basic Competency (KD) which is used according to the theme of environmental preservation, presentation of pictures and videos about the dangers of environmental pollution around students' residences, about orders to implement greenery and dispose of waste in its place, as well as case studies on environmental pollution. The results of the development of the e-book were then validated by 3 validators with an average percentage of 92.9% with the criteria of "Very Good" which means that the e-book shows valid results and can be used for the trial stage.
Fitsbot (Fire Detection Smart Robot) Innovation in the Development of Drone Technology in Mitigation of Peat Forest Fire

Indonesia's forests continue to shrink due to forest fires. Indonesia's deforestation rate for 2019-2020 is 115.5 thousand hectares. The use of manual methods for forest monitoring is considered less effective because it requires a long time and a lot of resources. Natural and weather conditions affect the implementation of forest monitoring to prevent forest fires. Based on these problems, the author offers an innovation in FITSBOT (Fire Smart Robot) technology. The research method used is Research and Development (R&amp;D) with the stages of Analysis, Design, Development, Implementation and Evaluation. The result of this research is a quadcopter with integrated artificial intelligence based on YOLO for forest monitoring. This technology is expected to facilitate forest monitoring in order to take preventive measures and early detection of forest fires.
Sniffing and Spoofing in Computer Security

The development of Information Technology (IT) has changed people's mindset. The presence of the Internet as the main platform for online activity is vulnerable to criminal acts by irresponsible parties. Criminal acts in cyberspace, of course, pose a major threat to the governance of online activities. One of these major threats is the threat of network security. Networks connected to the internet are basically insecure and can always be exploited by hackers, both LAN and wireless networks. The internet network has two data transmission media, namely wired and wireless. what happens is open. Examples of network security threats that often occur are sniffing of activities on the network (sniffing) and also impersonation by other people (spoofing). This resume article aims to identify criminal acts that threaten computer security, namely Sniffing and Spoofing
Nearpod-Based Interactive Learning Media in Improving Learning Outcomes of Class V Elementary School Students

This research is motivated by a learning process that rarely uses learning media in delivering material, so that students are less interested in following learning so that it affects student learning outcomes. The purpose of this study is to determine the richness, practicality, and effectiveness of using nearpod-based learning media. The type of research used is development research (Research and Development) which uses the ADDIE development model with 5 stages of research, namely Analyze, Design, Development, Implementation, and Evaluation. The subject of this study was a grade V student of SDN 101775 Sampali. The instruments used in data collection are teacher interviews, material and media validation questionnaires, education practitioner questionnaires, and tests. The results of the development of nearpod-based learning media on fractional material, showed that the results of material validation got a percentage of 93.75% with the category "Very Feasible" and the results of media validation got a percentage of 93.75% with the category "Very Feasible". Practicality validation by educational practitioners obtained a percentage of 92.30% with the category "Very Practical". Based on the effectiveness test of nearpod-based learning media developed, students' scores increased with the pre-test obtaining an average score of 56 and after the post-test increased to 88. From the research and data found, it shows that the development of nearpod-based learning media is very feasible and effective to be used in the learning continuity process.
Efektivitas Implementasi Teori Behaviorisme dalam Proses Pembelajaran

This article discusses the application of behaviorism learning theory and its advantages and disadvantages. The method used in writing this article is a literature review system. In behaviorism learning theory there are basic concepts in learning, namely the interaction between stimuli and responses. The application of behaviorism learning theory will enable teachers to be more sensitive to learning situations and circumstances. Besides that, behaviorism learning theory is suitable for young children who still need adult supervision. However, behaviorism learning theory is often criticized because this learning theory cannot explain complex learning situations
Predicting Student Employment in Teacher Education Using Machine Learning Algorithms

One of the solutions to the problem, when not the best graduates enter the pedagogical profiles and after graduation are employed in the education system, is the prediction of professional orientation even at the stage of the student choosing their further professional trajectory. To solve this problem, the purpose of the study is to develop and experimentally prove the effectiveness of using a program for predicting the employment of students of a pedagogical university based on the introduction of various machine learning algorithms. Using a random selection of students, the collection and processing of their questionnaires (n=205) in 2011-2016 were carried out. Various machine learning algorithms were used to create the program: decision trees, logistic regression, and catboost. In the course of the experiment, the data of the questionnaires were loaded into the program for its training according to various algorithms, in order to ultimately obtain a finished intellectual product with the ability to predict the employment of graduates. In the final comparison, the program developed on the “decision trees” algorithm made only 2 out 19 questionnaires and 7 out 61, which was the best result - 89%. The implementation of this algorithm makes it possible to most accurately, with the least percentage of errors, identify students who will not be employed in the future according to their profile of study or not employed at all. Thus, the study developed an intelligent program that allows one to instantly process data and get an accurate forecast of employment with only a small probability of error.
Recognize the Leaders in (Y)our Midst

Journal AWWAVolume 115, Issue 6 p. 77-78 Water's Workforce Recognize the Leaders in (Y)our Midst Gabriel Evans, Corresponding Author Gabriel Evans [email protected] Search for more papers by this author Gabriel Evans, Corresponding Author Gabriel Evans [email protected] Search for more papers by this author First published: 05 July 2023 https://doi.org/10.1002/awwa.2129Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume115, Issue6July/August 2023Pages 77-78 RelatedInformation
Paraphrase Practices in Academic Writing of Nursing Science Study Program, STIK Bina Husada Palembang

Paraphrasing has two main purposes, namely to avoid plagiarism and to make ideas easier to understand. The purpose of this research is to answer the following questions: 1. How are the paraphrasing results of the students of the Nursing Study Program STIK Bina Husada Palembang?, and 2. What are their perceptions of paraphrasing?. This research was conducted on May 27th, 2023, out of 38 students registered, only 34 students from the Nursing Science Study Program STIK Bina Husada Palembang participated in this research The students were asked to paraphrase a text containing 119 words entitled "Why is the millennial generation vulnerable to smartphone addiction?" the pparticipants were first shown the text and asked to read to gain understanding, then they were asked to paraphrase the paragraph. The results of this study indicated that the students of the Nursing Study Program at STIK Bina Husada Palembang are divided into 2 groups, namely: those who successfully paraphrase and those who fail, however, the limitations of the study should be noticed for further research. The results of this study have implications for teaching, bearing in mind that there are still students who avoid changing words and sentence structures when paraphrasing, this is due to limited vocabulary in making effective paraphrasing
Pemilihan Model Terbaik pada Generalized Poisson Regression Menggunakan Akaike Information Criterion

ABSTRAK&#x0D; Poisson regression merupakan salah satu model regresi yang dapat digunakan untuk menganalisis hubungan antara variabel respon yang berupa data count dengan variabel prediktor berupa data count, kontinu, kategorik atau campuran dengan syarat terjadi equidispersion yaitu nilai variansi dari variabel respon harus sama dengan nilai rata-ratanya. Namun yang sering terjadi adalah pelanggaran terhadap equidispersion. Generalized Poisson Regression (GPR) adalah suatu model regresi yang digunakan untuk menganalisis hubungan antara variabel respon yang berupa data count dengan satu atau lebih variabel prediktor dan mengalami underdispersion, equidispersion, atau overdispersion. Data tuberkulosis paru (TB paru) di Indonesia tahun 2020 mengalami overdispersion, sehingga GPR adalah metode yang cocok untuk memodelkan data tersebut. Tujuan penelitian ini adalah untuk mendapatkan model GPR terbaik pada data jumlah kasus TB paru di Indonesia tahun 2020 dan mengetahui faktor-faktor yang memengaruhinya. Hasil analisis menunjukkan bahwa terdapat lima belas model GPR yang terbentuk dari empat variabel prediktor yang berpengaruh terhadap jumlah kasus TB paru di Indonesia tahun 2020. Model GPR terbaik berdasarkan nilai Akaike Information Criterion (AIC) terkecil adalah model dengan empat variabel yang berpengaruh yaitu kepadatan penduduk, jumlah penduduk miskin, persentase lantai rumah tidak kedap air, dan persentase tempat pengelolaan pangan yang memenuhi syarat.&#x0D; ABSTRACT&#x0D; Poisson regression is a regression model that can be used to analyze the relationship between response variables in the form of count data and predictor variables in the form of count, continuous, categorical or mixed data with the condition that equidispersion occurs, namely the variance value of the response variable must be equal to the average value. However, what often happens is that the variance value is greater than the average value or is called overdispersion. Generalized Poisson Regression (GPR) is a regression model used to analyze the relationship between response variables in the form of count data and one or more predictor variables and occure underdispersion, equidispersion or overdispersion. Data for pulmonary tuberculosis in Indonesia in 2020 occured overdispersion, so GPR is a suitable method to model the data. The purpose of this study was to obtain the best GPR model and to obtain the factors that significantly influence the number of pulmonary tuberculosis cases in Indonesia in 2020. The results of the analysis show that there are fifteen GPR models formed from four predictor variables that affect the number of pulmonary tuberculosis cases in Indonesia in 2020. The best GPR model based on the smallest Akaike Information Criterion (AIC) value is a model with four influential variables, namely population density, number of poor people, percentage of house floors that are not waterproof, and percentage of food management places that meet the requirements.
Premarital Sex Behavior Model with Generalized Linear Mixed Model Least Absolute Shrinkage and Selection Operator dan Generalized Linear Mixed Model GROUP Least Absolute Shrinkage and Selection Operator

ABSTRACT&#x0D; Premarital sexual behavior is sexual behavior that is carried out between men and women without legal marriage. As the number of premarital sex increases, efforts need to take. One that can do is to identify the main factors contributing to reducing or increasing premarital sex behavior by a Regression model. In the context of sexual behavior, environmental influences cannot be ignored. GLMM is used to model data that is grouped into certain Groups, include environment effect that is modeled as mixed effect in GLMM. In terms of parsimony, the LASSO method can do selection variables. This research uses GLMM LASSO and GLMM Group LASSO as a model to approach the data. The best model that describes premarital sex behavior in South Sulawesi is the GLMM Group LASSO model based on the greatest AUC value. The variables that significantly influence the model are Type of Residence (X_1), Education Level (X_2), Literacy (X_3), Internet use (X_4), Knowledge of Contraceptive Methods (X_6), Health Insurance Ownership (X_7), Employment Status (X_8), Knowledge of Sexually Transmitted Diseases (X_9). By knowing the factors that influence premarital sex behavior, the government is expected to take the appropriate action for handling it.
Robust Digital Watermarking for Colour Images Using GBT &amp; SVD

Copyright infringement poses a significant challenge in the creative industry, particularly with the exponential growth of digital content.Digital watermarking is a promising technique to mitigate this problem.Its primary objective is to embed an imperceptible digital watermark into digital content, such as images or videos, to protect against unauthorized use or reproduction.This paper presents a novel hybrid approach for digital watermarking that addresses the limitations of existing methods, namely the Discrete-Haar Wavelet Transform (DHWT) and Least Significant Bit (LSB) steganography.The proposed approach integrates Graph Based Transform (GBT) and Singular Value Decomposition (SVD) for data watermarking, while incorporating a scrambling operation to enhance the security of the watermark.Compared to DHWT, the proposed approach has lower computational cost and reduced distortion near image or video edges.In contrast to LSB, it utilizes transform domain techniques resulting in a more robust aftermath.The experimental results demonstrate the effectiveness of the proposed approach, indicating its potential as a viable solution for digital watermarking.