Reviewerly/exHarmony huggingface dataset:
Awareness of Earthquake Disaster Information by Teenagers in Pagar Alam City

agar Alam is a disaster-prone area because this area has a volcano that can be active at any time. Conditions and information about the activities of Mount Dempo are very important for the entire community to know as a form of anticipation if an earthquake and eruption occur. The media is a part of the process of disseminating disaster-related information. However, it turns out that not all people in Pagar Alam City have concerned know this. So in the process of disaster mitigation experiencing difficulties. This research was conducted by distributing google forms to teenagers in Pagar Alam City, namely high school/vocational high school students. The goal is to find out if they have the initiative to find out about disaster information in their area. And categorize what media are the references in obtaining news about the disaster. With the uses and gratification theory as well as a disaster mitigation approach, the results obtained are that most of the youth in Pagar Alam know that they live in disaster-prone areas. Facebook is the most common reference in providing information about disasters that occur and they have enough initiative to seek further information about disasters, especially earthquakes. The Pagar Alam City Regional Disaster Management Agency (BPBD) as the party responsible for disaster management has been widely known by the people of Pagar Alam City, only those disaster mitigation activities that should be part of their duties are not felt by the majority of the community.
ELM Based Improved Layered Ensemble Architecture for Security Situation Prediction

N etwork security situation prediction can predict the future security situation and its changing trend based on the existing network security data. In order to improve the accuracy and efficiency of the network security situation prediction model, a extreme learning machine based layered ensemble network is proposed. This architecture takes extreme learning machine networks as base predictors and consists of two ensemble layers. Each layer considers both accuracy and diversity of the individual networks in constructing the ensemble by takes the strategy in which the best was selected after classification. The first ensemble layer tries to find an appropriate lag, while the second one employs the obtained lag for forecasting. The proposed model has been tested in comparison experimental. The results have revealed clearly that compared with the layered ensemble architecture based on multilayer perceptron, new model not only improves the prediction accuracy but also improves the time efficiency by 1–2 orders of magnitude.
Ring-type Indirect Pointing Device for Large Displays using Three-axis Pressure Sensor

We present a ring-type pointing device that uses a three-axis pressure sensor for controlling a two-dimensional cursor shown on a large display. The pressure sensor attached to the ring measures the force applied to each axis to control the cursor. Specifically, the movement of the cursor is controlled on the basis of the forces applied on the x and y-axis, whereas tapping is controlled on the basis of the force applied on the z-axis. The cursor’s speed is controlled along with force on either axis: when applying a slight force, the cursor can be moved at a slower speed, which would be suitable for moving short distances; a stronger force can be applied for longer distances.
FOSTERING THE CAREER BUILDING COMPETENCE IN STUDENT TEACHERS OF HANDICRAFTS AND TECHNOLOGY: SCIENTIFIC AND EXPERIMENTAL APPROACH

The study reveals the essential features of the concept of «fostering the career building competence in student teachers of Handicrafts and Technology» as a dynamic combination of knowledge, skills, thinking, views, values and other personal qualities that determine the ability of the student teachers of Handicrafts and Technology to set career goals, plan the career, awareness of their own career potential and, accordingly, to effectively build a career path, successfully overcoming career problems. The above is based on the examination of the approaches of scientists to the definition of key research concepts. Having used the scientific and experimental approach, the study determined and characterised the structure of the career building competence in student teachers of Handicrafts and Technology as the set of the components such as motivational, cognitive, activity, reflective. Accordingly, the study specified the criteria, indicators and levels - initial, low, medium, high - of the formation of the phenomenon under study. It also provided the characteristics of the development levels. Precisely, the indicators of the motivational criterion were as follows: 1) positive attitude to career building; 2) the desire for self-expression and self-realization in professional activities; 3) having the values aimed at developing the necessary competencies for a career in education. The cognitive criterion was characterized as having and constant updating of knowledge: 1) on the field of education, objects and types of the selected professional activity, 2) about the possible ways of career development, 3) on forecasting, career planning in the education system. The activity criterion was defined as a set of skills and abilities: 1) to get engaged in the professional activities at the stage of education; 2) rapidly adapt to professional activity in the dynamics of external conditions; 3) to gain experience in career growth. The reflexive criterion was interpreted as the ability to: 1) analyse the job market requirements for teachers of Handicrafts and Technology from the professional environment perspective; 2) assess opportunities for professional and career growth; 3) reflect on the ways to overcome career crises and solve careerproblems.
Data Mining Pengelompokan Akta Nikah Berdasarkan Usia Nikah atau Domisili Menggunakan Metode Clustering: Studi Kasus Kemenag Langkat

One way to find out the marriage certificate data is to group the prospective bride and groom data that has been recorded at the Langkat Ministry of Religion. The analysis was carried out using the Clustering method using the K-Means method which was translated into a software. This software is used for grouping data. The output is to find out the grouping of marriage certificate data with the closest relationship between the age group of the groom, occupation and address. The results showed that the age of the groom-to-be between 19-28 years old had a civil servant job at the address/district of Kutambaru.&#x0D; Keywords: age, occupation, address/location and clustering
Increasing the Investment’s Opportunities in Kingdom of Saudi Arabia By Studying and Analyzing the Social Media Data

Social networking sites are a significant source of information to know the behavior of users and to know what is occupying society of all ages and accordingly helpful information can be provided to specialists and decision-makers. According to official sources, 98.43% of Saudi youth use social networking sites. The study and analysis of social media data are done to provide the necessary information to increase investment opportunities within the Kingdom of Saudi Arabia, by studying and analyzing what people occupy on the communication sites through their tweets about the labor market and investment. Given the huge volume of data and also its randomness, a survey of the data will be done and collected from through keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study analysis and conclusion will be based on data-mining and its techniques of analysis and deduction.
DEVELOPMENT OF CRITICAL THINKING FOR FUTURE PRESCHOOL TEACHERS IN THE EDUCATIONAL DISCIPLINE «FORMATION OF SOFT SKILLS OF THE MODERN PRESCHOOL EDUCATION SPECIALIST»

Today, the need for the formation and development of critical thinking attracts more and more attention from foreign and domestic scientists. It was found out that this is primarily due to the lack of independence, social orientation, motivation and effectiveness of thinking of the younger generation. There is a tendency to increase the flow of information with which a person interacts on a daily basis, but the question arises not only of perceiving and memorizing this information, but also of critical understanding, highlighting important characteristics, and achieving the truth of knowledge. The development of critical thinking becomes the main task of education, in particular higher education, it is an important component of the intellectual development of future teachers. The article considers the need to develop critical thinking skills in future educators. The didactic features of the mentioned phenomenon among students of higher education in the specialty 012 Preschool education during the study of the discipline «Formation of soft skills of a modern specialist in preschool education» were revealed. Education focused on the development of critical thinking is an urgent methodological problem of modern education. Techniques for the development of critical thinking make it possible to obtain positive results in the formation of active mental activity of students. The specified type of thinking is aimed at developing skills for working with information, the ability to analyze and apply this information in solving professional situations. Based on the analysis of scientific literature, the interpretation of the concept of «critical thinking» from the perspective of psychological and pedagogical science, namely the views of researchers of the past and modern scientists, is highlighted. The author describes the methods and techniques of developing critical thinking. Among them, the following were found to be effective: «INSERT», «Open microphone», «Brainstorming», «Conjecture tree», «Written discussion», «Thick and thin questions», «PRES-formula», «Fishbone». The specified methods and techniques accustom students to independent thinking, a critical look at alternative solutions to existing problems, and the choice of well-founded argumentation. Emphasis is placed on the application of the problem-based approach in the educational process, which is the main tool for the development of critical thinking, because it contains a contradiction that allows students to form their own attitude to the issues under consideration. It has been proven that during the study of micro- and macroeconomics, effective methods of developing critical thinking are the division of students into groups and teamwork during preparation for debates, and the important role of essay writing is also analyzed. Key words: critical thinking, professional training, future educator, «INSERT», «Written discussion», «PRES-formula», «Fishbone».
MODERN APPROACHES TO THE ORGANIZATION OF INDEPENDENT WORK OF FUTURE CHOREOGRAPHY IN ONLINE FORMAT

The article reveals the peculiarities of the implementation of modern approaches to the organization of independent work of future choreography specialists in the online format, based on the work experience of the teachers of the Berdyan State Pedagogical University. The application of the method of project activity in the disciplines of the professional cycle of student training, as well as such interactive methods as storytelling and scribing, is highlighted. It is noted that the practical-oriented approach, as one of the key types of projects, is characterized by a focus on solving social problems that reflect the interests of each participant or other persons. A research project is a type of independent scientific research that requires a clearly thought-out structure and selection of effective work methods, a defined goal, relevance for all its participants, as well as social significance. The information project is aimed at collecting information about any object or on a certain topic for the purpose of analysis, generalization and representation of information for a wide audience. A creative project assumes a free, sometimes unconventional approach to its implementation and presentation of results, usually does not have a clearly thought-out structure, it develops subject to the interests of project participants. It has been found that the use of the Moodle platform by a higher education institution promotes the activation of the internal potential of each teacher, who seeks and implements new and innovative technologies in his educational activities, which are based on practice-oriented learning of students and emphasize the creation of a comfortable student-centered environment. Also, special importance is attached to the mobility of the applicants, their choice of an individual learning trajectory, the formation of the key competence «learning throughout life» and the ability to independently carry out personal and professional reflection, the desire for self-improvement. Key words: practice-oriented preparing of future choreography specialists, independent work in the online format, project activity, modern approaches to the organization of independent work
PELATIHAN DAN PENDAMPINGAN IMPLEMENTASI E-LEARNING MARIBELAJAR DAN METODE PEMBELAJARAN BLENDED LEARNING UNTUK PARA GURU SD NEGERI PENJARINGANSARI II/608 SURABAYA

Management of learning facilities through good synergy between teachers, students, and parents is certainly needed not only during the pandemic, but also later when schools return to normal face-to-face learning activities as happened before the COVID-19 pandemic hit the world. The key to the formation of a good synergy is through good communication between the three parties, so an easy communication facility is needed. The accumulation of messages on whatsapp and participants can delete messages that have been sent to the management group. Assignment assessment becomes difficult and there is a possibility of missing assignments that have been collected by students in the group. Through this community service activity, the use of information technology is implemented through the development of the MariBelajar E-Learning application that adapts to the needs of students, teachers, and parents, especially at SDN Penjaringansari II/608. Like WhatsApp, the application that was built was made to be easy to use. The application will group students based on the class taken. At the beginning of the display of each class, students and parents will be presented with a menu such as a calendar that contains all activities, both material, task information, discussions, and daily task collection menus, so that all information can be well organized. In addition to system implementation, another agenda is the dissemination of blended learning methods which are a combination of offline and online learning methods that are very suitable to be applied in the current learning period. It is hoped that the socialization provided can be an alternative solution for effective learning methods for each class taught by the teacher at SDN Penjaringansari II/608
Pengelolaan kegiatan pelatihan berbasis inklusi sosial di Perpustakaan Umum Daerah Kota Tanggerang Selatan

The South Tangerang City Regional Public Library has a social inclusion-based training service for the people of South Tangerang City. This social inclusion-based training activity is carried out to assist the community in improving their skills and aims to improve the welfare of the community. The purpose of this study was to determine the management of training as a social inclusion-based library service at the South Tangerang City Regional Public Library. The research method used a qualitative method with a case study approach and data collection techniques including interviews, observation, and documentation. The results showed that the management of social inclusion-based training organized by the South Tangerang City Regional Public Library is by conducting training planning, implementation, and evaluation.
The Emerging Technology of Blockchain for Decision-Makers in Supply Chain Management

The development of 4th industrial revolution (4IR) technology and scientific research in the field of blockchain application for the context of supply chain is relatively new but emerging fast. It is of utmost necessity to identify the potential field as well as the severity of this research. Thus, the objective of this research is to visualize the scientific research on blockchain technology application in supply chain by conducting bibliometric analysis. The analysis was performed by using the VOSviewer software and data analysis tool available in the Scopus base. A total of 1219 publications in relation to blockchain technology related to supply chain, were extracted from Scopus database ranging from 2017 to 2022. Co-citation analysis and co-word analysis were conducted to visualize the evolution of research themes in this field. The findings of this study may help researchers understand the nature of blockchain technology research related to supply chain from across the world and suggest future research directions.
Performance of Deep Learning Inception Model and MobileNet Model on Gender Prediction Through Eye Image

Convolutional neural network (CNN) is one of the neural networks used in image data. CNN has a good ability to detect objects in an image. This study discusses the comparison of two deep learning models based on convolutional neural network, namely the Inception-V3 method and the MobileNet method. Both algorithms are analyzed fairly on gender classification using eye images. There have been many research completions that have conducted studies on gender classification based on faces, but gender classification based on eyes has many challenges. This gender classification is grouped into two classes, namely male and female. This study aims to build a gender classification model from eye image. The processes in this research include selecting the dataset, preprocessing the data, dividing the data which is divided into training data and test data, modeling, and evaluating the performance of the model. This study uses a public dataset, where the data contains a total of 2,681 images consisting of 1251 male eyes and 1430 female eyes. This study concludes that gender classification using eye image using the Inception-V3 method is better than the MobileNet method. This is obtained based on the accuracy value generated by the Inception-V3 method which is higher than the MobileNet-V2 method which obtains an accuracy of 91.82%.
Using Quantum Cryptography for End-to-End Encryption

These days almost everyone is involved in online communication. With the advancement in quantum computing the messaging system brings the current state of major public encryption systems into mind which can be hacked to be broken. Many developers working in the industry are just discovering this and will soon be looking at changing their communication systems to be protected in quantum time. This paper documents the tried-and-tested constructions of the encryption system used in the real-life android application. Implementation of Quantum Key Distribution is shown to work well with a quantum computer that is monitoring the whole process of sharing the transferred key. It will detect any third-party interaction and take instant action. This paper states tried and tested way of encrypting systems with the help of QRNG application and Qiskit SDK.
Hybrid Weight Strategy for Particle Swarm Optimization

Particle Swarm Optimization algorithm (PSO) is found to be an effective meta-heuristic swarm-based algorithm in solving modern time problems. Various improvements have been proposed in this algorithm in terms of internal computation, acceleration coefficients, stopping criteria, hybridization, velocity upgradation etc. The objective of this paper is to implement hybrid weights and, therefore, improve the quality of PSO algorithm. In the case of hybrid weights, we have combined two weights at a time. These weights are mixed in various but not in equal proportions and are tested against ten standard testing functions along with the pre-existing weights. By using this collection, we have analysed them on three parameters-mean, standard deviation, and minimum value achieved. Later on, after analysing the data, we found out that hybrid weights are an overall better option with respect to the pre-existing weights.
On One Approach for Detecting Social Relationships by Analyzing Video Images in E-Government

In the modern world, video surveillance (CCTV) cameras are installed in all areas where it is important to strengthen security: in healthcare, education, sports and many other areas. The fact that the information collected from CCTV cameras is big data and most of it is not structured makes it relevant to use artificial intelligence and big data technologies in the analysis of this data. The purpose of this article is to develop an architectural diagram of an intelligent video surveillance system.
Electroactive polymer gels as probabilistic reservoir automata for computation

Electroactive Polymer (EAP) hydrogels are an active matter material used as actuators in soft robotics. Hydrogels exhibit active matter behavior through a form of memory and can be used to embody memory systems such as automata. This study exploited EAP responses, finding that EAP memory functions could be utilized for automaton and reservoir computing frameworks. Under sequential electrical stimulation, the mechanical responses of EAPs were represented in a probabilistic Moore automaton framework and expanded through shaping the reservoir's energy landscape. The EAP automaton reservoir's computational ability was compared with digital computation to assess EAPs as computational resources. We found that the computation in the EAP's reaction to stimuli can be presented through automaton structures, revealing a potential bridge between EAP's use as an integrated actuator and controller, i.e., our automaton framework could potentially lead to control systems wherein the computation was embedded into the media dynamical responses.
Live Memory Forensic for Windows

This work describes a functional, generic, broad-scoped investigative methodology for Windows memory analysis. The methodology applies equally to functional and damaged, or corrupted memory images and relies on Volatility. It is based on the author’s various memory analysis case studies. Summing it up succinctly, the methodology aids the forensic practitioner in squeezing the maximum amount of possible evidence from a memory image. The proposed methodology is suitable for analysts at all levels of investigative capability. It provides guidance in extracting maximum evidence using simple, commonplace tools and techniques familiar to digital forensic practitioners. As with all methodologies, nothing is written in stone; the forensic practitioner must be flexible and agile in responding to ever-changing investigative requirements. To assess the performance of various tools for gaining, analysing, and improving criminal evidence from volatile memory. A comparison of several tools is offered in order to provide a better understanding of the tools used.
Face Mask Detection Analysis

Abstract: COVID-19 pandemic has affected the world gravely, according to the World Health Organization (WHO), coronavirus disease (COVID-19) has globally infected over 170 million people causing over 3.6 million deaths [1] . Wearing a protective mask has become a norm. However, it is seen in most public places that people do not wear masks or don’t wear them properly. In this paper, we propose a high accuracy and efficient face mask detector based on MobileNet architecture. The proposed method detects the face in real-time with OpenCV and then identifies if it has a mask on it or not. As a surveillance task, it supports motion, and is trained using transfer learning and compared in terms of both precision and efficiency, with special attention to the real-time requirements of this context.