Reviewerly/exHarmony huggingface dataset:
Disaster Management using Ontology Feature

The digital transformation has witnessed an exponential growth in the recent years.This transformation has touched every instance of human life.The current generation rigorously rely in the platform of information storage & retrieval.This originates an ample opportunity for designing and developing systems for societal benefits.The importance of social networking forums has a vital role in our life.The usage of the above websites is frequent towards maintaining identity, keeping connect with the friends, updating personal & professional information, etc.They have increasingly infused itself into daily life.In recent years, one of the important areas of research is oriented towards from the social networking websites in different categories.This paper represents the work done with an open research dataset known as Microblog Track provided by Forum of Information Retrieval & Evaluation (FIRE).The task provided by the FORUM is to develop a suitable model for the identification of tweets.The training dataset consists of two predefined labels, known as need and availability.In this paper, the prediction rate has been optimized by using the term weighting models before applying the classifiers.The experiments showed that the classification accuracy is increased when the term weight is modified by using the information gain method and using the SVM classifier.This system automatically annotated the FIRE-2015 dataset of microblog track with 97% accuracy.
Future directions in technology law

The regulation of technology is an important and topical area of law, relevant to almost all aspects of society. Technology Law: Australian and International Perspectives presents a thorough exploration of the new legal challenges created by evolving technologies, from the use of facial recognition technology in criminal investigations to the rise and regulation of cryptocurrencies. A well-written and fascinating introduction to technology law in Australia and internationally, Technology Law provides thorough coverage of the theoretical perspectives, legislation, cases and developing issues where technology and the law interact. The text covers data protection and privacy, healthcare technology, criminal justice technology, commercial transactions, cybercrime, social media and intellectual property, and canvasses the future of technology and technology law. Written by leading experts in the field, Technology Law is an excellent resource for law students and legal professionals with an interest in the area.
ANALYSIS AND DESIGN OF MOBILE WEB-BASED MENU E-ORDER SYSTEMS USING THE PIECES METHOD (CASE STUDY: CAFÉ 50/50 COFFEE)

Café as a place to relax or chatter where visitors can order the menu available. In general, a café often has difficulty in serving customers, especially for menu ordering facilities. This is also experienced by café 50/50 Coffee which still makes menu reservations manually. Based on these problems, a system of e-order menus of web-based mobile applications is designed. The study aims to produce a mobile web ordering system that is then analyzed with the PIECES indicator to determine the level of user satisfaction. Design of this system using the waterfall model System Development Life Cycle (SDLC) development method and then analyzed the level of user satisfaction with the PIECES method. System testing uses usability testing with the USE Questionnaire method. System implementations are created with the help of the CodeIgniter framework and use the PHP programming language. The results of the study in the form of a menu e-order system at the 50/50 Coffee café with the conclusion of the analysis that the users of the e-order system were “SATISFIED”.
UAV Task Allocation Method Using Swarm Intelligence Optimization Algorithm

The multi-unmanned aerial vehicle (UAV) task allocation method has shortcomings such as long flight distance and long algorithm initialization time. In response to these problems, this paper proposes a UAV task allocation method based on Swarm Intelligence Optimization Algorithm (SIOA). The algorithm first compares the relationship between the number of UAVs and mission points when UAV is performing a task, and then introduces the idea of gradient descent to reduce the flying distance of UAV. Experimental results show that the SIOA method can effectively reduce the initialization time, shorten search distance of the UAV and the time UAV complete the task, and effectively solve the problem of high algorithm complexity.
About Cooperation with Bulgaria in Science and Education

The article is dedicated to the analysis of the current state of international cooperation Russia - Bulgaria in the field of science and education. Scientific and educational cooperation between Russia and Bulgaria is important for the Russian Federation, in addition, Bulgaria is a member of the International Center for Scientific and Technical Information from 1969. In this regard, it is interesting to present the materials of the monitoring of scientific and educational cooperation with Bulgaria in 2019, supplementing the latter with the results of the analysis of current documents 2020-2021.
A Secure Methodology for Filtering Spam & Malware in E-mail System and Secure E-mail Testbed Setup

E-mail system is one of the critical infrastructures of any organization. It is necessary to ensure that the mail servers in use should be secured in such a way that no security properties like confidentiality, integrity, and authenticity are compromised. To achieve these security properties we have setup a secure e-mail server testbed that provides security against malware and spam, and guaranties secure e-mail delivery. This paper proposes a secure methodology for filtering spam and malware in the e-mail system, comprising standard layers of protocols and policies. An experimental testbed is established to evaluate the effectiveness of our methodology and was tested with spam and malware e-mails. Our results showed an accuracy of 95 percent, against a typical configuration of an e-mail system.
Analysis of The Relationship of Information Media and Knowledge With Formula Feeding In Babies Aged 6-24 Months

Mothers certainly know that the main intake for babies is breast milk. However, in some cases, babies are forced to be fed infant formula to replace breast milk if according to medical indications and on the advice of medical personnel. Always consult a medical professional for the use of infant formula. Although the content is different from breast milk, now infant formula has been formulated with various kinds of nutrients that are good for baby's growth and development. For this reason, so that babies get adequate nutrition for their growth and development, the dose of baby's milk must be adjusted to their age and weight. The purpose of this study was to determine the factors associated with formula feeding in infants aged 0-6 months. The research method used in this study is a cross sectional survey method. The population in this study were all mothers who had babies 0-6 months totaling 34 people. Samples were taken by total sampling, that is, the entire population was sampled. The results of this study prove that there is a relationship between information media, education, work and knowledge with the provision of formula milk to infants aged 0-6 months at the Rengas Health Center in 2019.
Use of Accurate V3 software as an introduction to accounting skills in “Merdeka Belajar Kampus Merdeka” Program

In supporting the student exchange program at the national Program "Merdeka Belajar Kampus Merdeka" (MBKM), the department needs to prepare courses that can be superior to be offered to students. In the Accounting Department University of Merdeka Malang, there are accounting practicum courses. This course provides students with skills in utilizing accounting software. This study wants to see the technology acceptance model for using Accurate Accounting V3 software for cross-departmental students who are the object of research in an experimental class. Data was obtained by distributing questionnaires to class participants who had completed the practicum. By using path analysis, the results show that perceived usefulness and perceived convenience affect user behavior interest. Perceived usefulness and interest in user behavior affect software to use, while perceived ease of use does not affect software usage decisions. Interest in user behavior is proven as an intervening variable on the effect of perceived usefulness on the use of the software.
Upaya Meningkatkan Hasil Belajar Bahasa Inggris Aspek Reading Skill Ability Melalui Pronounciation Word By Word di SD Muhammadiyah 2 Parepare

This study aims to improve learning outcomes in English aspects of reading skill ability through the word by word pronunciation learning method. This classroom action research was conducted in two cycles. The subjects of this study were fourth grade students of SD Muhammadiyah 2 Parepare with a total of 10 people. The data collection technique of this research used observation, tests, and field notes. While the data analysis technique used descriptive analysis. The results of this study indicate that the increase in learning for fourth grade students of SD Muhammadiyah 2 Parepare through pronunciation word by word is in the first cycle in the low category with an average score of 53.00, while in the second cycle there is an increase in the high category with an average value. average 85.00. In connection with these results, it can be concluded that the learning method of pronounciation word by word can improve learning outcomes of English aspects of reading skill ability for fourth grade students of SD Muhammadiyah 2 Parepare.
Grammatical Errors Analysis in the Thesis Abstracts Made by the Students of Borneo University Tarakan

This research aimed to identify and describe the common types of grammatical errors and the sources of errors made by the students in thesis abstracts.The research design in this research was descriptive qualitative, the respondent was a student of Borneo University Tarakan who graduated in 2016 and had officially compiled their thesis to the library of Borneo University Tarakan.There were 247 thesis abstracts to be used as a sample.The result showed that 1079 total errors were found in the thesis abstract made by students.The researcher took ten samples of the source of errors, and those samples were the common errors taken from 4 categories based on the Taxonomy of Errors.There were developmental errors, interlingual errors, ambiguous errors, and other errors.
De-identification Mechanism of Block Network Image Privacy Information based on Risk Level

As society develops, the protection of individual safety is becoming increasingly important.In particular, the leakage of personal information, which means information that can be inferred from individuals, is a big topic that has caused a huge impact on society.In order to strengthen the protection of personal information, the video system pays a lot of attention to recorded video information or personal information, and a lot of research is being conducted to prevent it from being leaked or to identify the target from the leaked data.However, the recorded information may include criminals as well as ordinary people.There are also cases where personal information is not required to be disclosed for all criminals, but some disclosure is required depending on the risk of the subject.In this paper, we study the mechanism of applying risk-dependent non-identification in a blockchain-based data recording environment to enhance the reliability of data in the process of de-identification based on target risk information and whether it is criminal or not.
Instagram Assisted Portfolio Assessment to Improve Students' Creative Thinking Skills

The purpose of this study was to find out differences in student activities between those implemented by Instagram-assisted portfolio assessments and those not applied by Instagram-assisted portfolio assessment differences in improving students' creative thinking skills between those implemented by Instagram- assisted portfolio assessment and those not implemented by Instagram-assisted portfolio assessments. They knew students 'responses about applying Instagram-assisted portfolio assessments to improve students' creative thinking skills. The approach in this study uses a quantitative approach with the design pretest-posttest control group. The population in this study were all class X students of SMAN 1 Tanjung, numbering 238 students. Samples taken were two classes, each of which amounted to 34 students. Data collection techniques used are observation sheets, tests, and questionnaires. The study results show that students' activities applied portfolio assessment assisted Instagram with an average of 73% with good criteria while those not applied Instagram-assisted portfolio assessment 58% with sufficient measures. Instagram-assisted portfolio assessment showed an increase in creative thinking skills at experimental class the average N-Gain by 0.60 medium categories. Instagram-assisted portfolio assessment can improve students' creative thinking skills.
Penerapan Synthetic Minority Oversampling Technique pada Pemodelan Regresi Logistik Biner terhadap Keberhasilan Studi Mahasiswa Program Magister IPB

The Postgraduate School of IPB has academic standards as well as high competitiveness of graduates who have spread both at home and abroad. In this study Binary Logistic Regression method was used to determine the factors that influence the success of the study of Postgraduate students of Bogor Agricultural University (Graduate School-IPB). The data used are data from IPB Graduate School students who graduated from 2011 to 2015. The response variable used is the success status of student studies namely graduating and not passing and using 9 explanatory variables namely gender, marital status, admission status when entering S2, college status S1 level, the source of S2 education costs, group of agencies working, S2 study program groups, age when entering S2 and S1 GPA. The data obtained is not balanced with the percentage of students who graduate is greater than those who did not pass, so the imbalance of data is handled with SMOTE if it is not handled it will cause a misclassification. Comparison of classification results seen in testing data. The results in the model before SMOTE have an area under the curve or AUC of 0.6760, an accuracy value of 88.77%, a sensitivity value of 99.09% and a specificity of 4.63%. The model after 600% oversampling SMOTE has an AUC value of 0.6642, an accuracy value of 78.36%, a sensitivity value of 83.65%, and a specificity value of 35.18%. Although the accuracy of the model and sensitivity value before SMOTE was higher than the model after SMOTE, the specificity in the model after SMOTE was higher, which meant that the model after SMOTE was better at predicting minority classes (not graduating).
"Application of Hybrid CTC/2D-Attention end-to-end Model in Speech Recognition During the COVID-19 Pandemic"

Speech recognition technology is one of the important research directions in the field of artificial intelligence and other emerging technologies. Its main function is to convert a speech signal directly into a corresponding text. Yu Dong, et al. [1] proposed deep neural network and hidden Markov model, which has achieved better recognition effect than GMM-HMM system in continuous speech recognition task
Enhancing the Performance of Andragogic Education

The article is devoted to the development of adult education, its andragogical principles and the impact on the quality of lifelong pedagogical education. The authors examined the mechanisms for improving the quality of lifelong pedagogical education by updating the content, developing and implementing innovative teaching technologies following new European guidelines and concepts in education, taking into account national educational traditions. In the article, the authors considered the basic concepts of andragogy, investigated the specifics of andragogical processes, the world experience in adult education. The authors noted that adult education today is based on continuous learning, self-education, and self-development. People will have to retrain 2-3 times in life; they will retrain at least once in adulthood. The research methodology is based on personality-activity and systematic approaches. As a result of theoretical and methodological research, the authors proposed a mechanism based on information technology (distance learning), the principles of androgynous learning and the specific features of adult learning (which the authors divided into three groups). This mechanism can increase the effectiveness of andragogical education in developing an educational trajectory. Further research is the search for ways of state financing of adragogical education and the development of indicators of its effectiveness.
Android-based English teaching material application at State Polytechnic of Fakfak

One of the ways to attract students' interest in learning English is to use interactive teaching materials. However, the teaching materials used at State Polytechnic of Fakfak are still in the form printed materials which seem inefficient to be used during the Covid 19 pandemic because the all the teaching process is online. Therefore, one of the solutions to implement mobile learning. Using mobile learning provides the users accessing material through smartphones and learning through mobile learning applications anywhere and anytime. This study aims to develop teaching materials in the form of an Android-based English Learning Application at Department of Informatics Management at the State Polytechnic of Fakfak, West Papua. The method used in this study is the Waterfall method, where a software development model is carried out sequentially, which means that one stage is carried out after the previous stage is completed. With the teaching materials in the Android-based English course, it can help the educators to carry out their duty as a lecturer to handle learning process during the Covid-19 pandemic. The result of this study is an Android-based English Learning Application that is functionally tested using the Black Box method. Based on the test results, the application is functioning properly. This is proved by the feasibility test using distributed questionnaires to 40 students of the Department of Informatics Management. There are 96% of students stated that the application can be operated easily and is satisfying
Psychological Stability Of Future Specialists In Nuclear Industry And Its Essential-Content Characteristics

The research reveals essential characteristics of psychological stability regarding future specialists in the nuclear industry. Psychological stability is very important for these graduates’ professional activity as they are subject to high professional and personal requirements in conditions of increased responsibility for ensuring radiation safety and reliability of complex systems. The paper outlines the essence and content of psychological stability of nuclear industry specialists, considers existing concepts in psychological and pedagogical science and in specifics of professional activity in this industry. The authors describe the concept of psychological stability of nuclear industry specialists as an integral property of a person, including stress resistance to negative psycho-emotional influences; management of modern technical equipment, which requires high personal responsibility in making adequate decisions in rapidly changing production conditions, having certain personal qualities as well as cognitive potential to ensure operating safety, etc. This definition makes it possible to fully reveal the essence and content of the following structural and functional components: motivational-value, informational–cognitive, professional-activity, regulatory-behavioral, reflexive-personal. The paper also briefly reveals the essence and content of some selected components; thereby the psychological stability of nuclear industry specialists in the process of professional activity comes to the fore and represents a system-forming factor in the system of professional personal qualities.
Development of Indonesian Language Teaching materials in Universities

This study aims to develop a valid and relevant teaching materials with Indonesian language course material. This study uses a Research and Development (R&amp;D) approach. The research subjects are lecturers and students. Data collection techniques in this study used observation, literature study, documentation, interviews, and assessment questionnaires. The stages in this research start from assessing potential and problems, collecting data, making product designs, validating product designs, revising products, and testing products. As a result, the textbooks developed were to support lectures and become a handbook for lecturers and students for academic purposes. The results and conclusions in this study, Indonesian language textbooks are good for college students to use. This teaching materials can also be used as a guide for lecturers in carrying out teaching and learning activities in universities.
Anxiety Confronted by EFL Students in Instructional Listening Class

The barrier of learning listening is experienced by students that make them feel anxious. Consequently, it easily effects their performance during listening class. Therefore, this study is aimed to describe the anxiety types and causes of anxiety confronted by EFL students in listening class at university level. To accomplish this aim, Qualitative research designs was applied by the researchers. The research subjects were English Department Students in IAIN Tulungagung. The research data were obtained through observation in listening class and in-depth interviews to the six most anxious informants. Then, the collected data was analyzed by data reduction, data presentation, and conclusion drawing. In order to check trustworthiness of data, theoretical and methodological triangulations applied. The result of this study was revealed that there were six symptoms of anxiety confronted by the students in listening class, that were categorized as the type of Arousal Anxiety (ArA), Apprehension Anxiety (ApA), and Mixed Anxiety (MA) also revealed five causes of anxiety. Those results inform the lecturer to be understood about students’ anxiety and start to create the joyful learning in listening class so that they are more comfortable following the class.
E-PROMOSI SEKOLAH DALAM BENTUK MOTION GRAPHIC

The Covid-19 pandemic has led everyone to use technology in various interests. The role of technology is very high to help the community, ranging from information sharing, job monitoring, even as a medium of introduction and promotion of a product and service. One of the very high use of technology as digital promotional media is educational institutions. Mondial School has been using only a few promotional media, namely print media such as brochures, banners, and billboards. These media can actually be shared online, but only in the form of still images and only a little information can be conveyed. Therefore, new innovations are needed to promote this school through a full profile. The new innovation in question is a motion graphics product in video format. Motion graphics method using Villamil-Molina approach was then used to analyze the manufacturing process based on Spatial, Temporal, Live Action and Typographic aspects. As for knowing the feasibility of e-promotion, further analysis will be carried out on aspects of motion graphics and respondent perception. This study on respondent perception uses measurement method based on EPIC Model.