Reviewerly/exHarmony huggingface dataset:
CYBERGUARD: A Mobile Cyberbullying Detector

Social media is something that is used by a lot of people in Malaysia, especially among youths today. Social media can come in many different platforms such as facebook and twitter. However, due to the convenience given, a person can send a message to another person through social media in the blink of an eye. Many cases of bullying occur online, and these cases are known as cyber bullying. Cyber bullying happens when a person bullies and harasses another user online by sending harassing messages such as messages with rude words or messages with sexual harassment elements. Cyber bullying can be dangerous, affecting a person's emotion, especially among youths, because they have no experience with cyber bullying and doesn't know how to overcome this problem. As such, an android-based application named cyber guard has been developed to overcome this problem. This application is developed by connecting the user's twitter profile to retrieve the messages from the user's twitter messages. This application will alert the user if the application detects a negative implication's word retrieved from their twitter account. This application will also explain the meaning of the negative implication's word and their threat level. For users experiencing cyber bullying, the application provides advice and ways to overcome cyber bullying issues. Fifteen users have tested this application and the application has received good feedbacks from the users. This application is vital to everyone, especially youths, to know whether they are being cyber bullied and the steps that can be taken to overcome it.
Efficient Tough Random Symmetric 3-SAT Generator

We designed and implemented an efficient tough random symmetric 3-SAT generator and propose two deterministic algorithms that efficiently generate 3-SAT instances with a unique solution. We quantify the first algorithms hardness in terms of CPU time, numbers of restarts, decisions, propagations, conflicts and conflicted literals that occur when a solver tries to solve 3-SAT instances. In this experiment, the clause variable ratio was chosen to be around the conventional critical phase transition number 4.24. The experiment shows that instances generated by our generator are significantly harder than instances generated by the Tough K-SAT generator. The two deterministic algorithms generate 3-SAT instances with the number of clauses scaling as 4n, where n is the number of variables, and (n+6), respectively. By combining these two algorithms along with a simple padding algorithm, we prove a hybrid algorithm that can generate n-variable instances with the number of clauses that scale between (n+6) and 7n(n-1)(n-2). Overall, all proposed SAT generators seek to explore unique difficult to solve SAT problems.
Rancang Bangun Aplikasi Inventori Barang untuk Fajar Jaya Abadi Memanfaatkan “Laravel Framework"

PT Fajar Jaya Abadi is a rock mill company located in Padalarang. This company is a company that sells various types of rock mills that contain CaCO3 and have customers who need goods for mixtures of fodder, cake mixes or other mixtures. Companies also often make installments and credit sales. From the purchase and sale transaction, the company found an imbalance in the inventory of goods. For this reason, a system will be created to simplify managing data on sales and purchase transactions, repaying debt and accounts receivable, and controlling stocks so that inventory of goods remains balanced.
Discipline Management in Urban Middle Secondary Schools: Principals, Counselors, Students and Parents Perceptions

Guided by the principles of helping the children in continuity learning the research aims at discipline management in urban middle secondary schools. This study examined the disciplinary issues and different stakeholders; principals, Counsellors, Students and Parents perceptions. The sample of the study consisted of 15 participants. The study is significant because its findings and conclusions are so relevant to different stakeholders to implement and strategies to keep the students into the education system and also help the children improve their discipline.&#x0D; For school principals, counselors, teachers, students and parents, the findings of this research will help to maintain discipline in their respective roles and responsibilities entrusted to them. Policy makers at the ministerial level may use as bases for developing a national school discipline policy and guidelines. For future researchers it may serve as a handy tool or base to study further on discipline management. The project aims to investigate and explore viable strategies to enhance current practices of managing ethical issues concerning students in schools. Qualitative research design has been used to conduct the research. To make the study more authentic and generalization purpose, a total of 15 research participants/ respondents were involved. The findings are fundamentally based on the lived experiences and perceptions of these respondents which correspond with phenomenological strategy of qualitative research. Although respondents had common views as well as difference of opinion on certain issues on discipline management of school, outcomes of the study are triangulated.
Solving of stochastic Voltaire integral equations by fuzzy artificial neural network method

Voltaire integral equations as the output of problems in basic sciences and engineering have a special application in advancing the solution of complex problems. One of the most widely used types, which consists of a random process under external motion, is the equations of random Volta integral. Solving this type of equation has always been a challenge for researchers. On the other hand, with the development of artificial intelligence and the presentation of fuzzy artificial neural network method as a model inspired by the process of thinking and analysis in the human brain, advanced models of algorithms have been designed. Some of these learning algorithms have been used in fuzzy artificial neural networks to solve equations. In this paper, using this method and designing a learning algorithm, the random equations of random Voltaire type is investigated. The method presented in this article, in addition to being more accurate than the previous methods, posseses more speed for solving problem. This topic provides an acceptable level of confidence for researchers when dealing with such issues.
Analisis Arsitektur Bisnis Sistem Penerimaan Mahasiswa Baru dan Akademik

Abstract — University in Bandung already has an IT Blueprint in 2009 and has successfully implemented several integrations in the financial system for academics. However, until 2020 there was no integration between the new student admission system and the academic system. Therefore, through this research, preparation and analysis were carried out to then proceed with the design in order to gradually document the IT Blueprint. And on this occasion discussed the preparation and analysis of the new student admission system and the academic system. The framework used is TOGAF 9.1 and TOGAF 9.2, namely in the preparation stage to phase B Architecture Vision. This research has been conducted from June 2019 to August 2020 and has produced a Value Chain Diagram, Stakeholder Map, and Solution Concept Diagram which will become the basis for phase B. The resulting Value Chain Diagram consists of the Value Chain Diagram for the admission system and the Value Chain Diagram for the academic system. In each diagram discusses the main activities and support activities of each system. The stakeholder map will explain each stakeholder involved in the admission system and the academic system and their relationship to architectural design. The Solution Concept Diagram illustrates the concept diagram as a solution architecture vision for admission and the academic system at University.&#x0D; Keywords— analysis; Enterprise Architecture; preliminary, Architecture Vision, TOGAF
RANCANG BANGUN GAMIFIKASI MULTIMEDIA PEMBELAJARAN PADA MATA PELAJARAN PEMOGRAMAN DASAR

Generally learning in vocational schools will be more dominated by practical activities rather than the delivery of material in the classroom, so the provision of a solid foundation of understanding of material in schools is less fulfilled. This is caused by the limited availability and completeness of supporting media so students have difficulty in understanding the subject matter. The lack of supporting media used by the teacher in the learning process results in students having difficulty understanding the material. This study aims to produce learning gamification to find out how much influence its use has on increasing students 'understanding of basic programming subjects, as well as to determine students' responses to the learning gamification built. The research subjects were students of class XI RPL SMKN 2 Bandung. The making of this learning gamification is motivated by a lack of understanding in basic programming subjects and a lack of use of the media in the learning process. Based on that problem, its needed a media that helps students in learning basic programming. Games have a fun nature that makes students who are in their teens like it and still often play it. Learning by using games makes students will actively see and do learning compared to listening or reading. Gamification can be an effective alternative to increase student understanding. The multimedia development method used is the Comprehensive Life Cycle (SHM) model. The results of this study are: 1) gamification of learning in basic programming subjects that are built is feasible to use based on the results of expert validation with an average acquisition of 85.58%. Can be classified in the category of Very Good, 2) gamification of learning in basic programming subjects can improve understanding of concepts, this is seen from the normalized gain value of 0.55 which is categorized in its effectiveness criteria while its effect on learning, and 3) Student responses to the learning gamification were categorized well with an average acquisition of 94.15%.
THE EFFECTIVENESS OF INSTRUCTIONAL VIDEO AS MEDIA IN TEACHING SPEAKING SKILLS

The quality of learning system is monotonously, and uninterested. Using media is one of tool to make students interest in learning process. Experimental design is used and the result of data analysis shows that score of pre-test 49,62 and post-test 62,85. Meanwhile, comparing mean of pretest and posttest 49,62 < 62,85. It mean, posttest score is better than pretest score and video media was more effective to improve students’ speaking skill at eighth grade of MTs. Nurul Jadid Randuboto Sidayu Gresik in the academic year of 2016/2017. And the result of interview about the difficulties in using video media to improve students’ speaking skill that there were still many difficulties using video in this research such as run ot of time, noise in the classroom, needed equipment (laptop, sound, projector) etc. Finally, the result of using video in improving students’ speaking skill is effective as interested activities, because video is a versatile and simple media for improving students’ English learning comprehension. It also made students became active to speaking.
An Improved Vehicle Detection Algorithm Based on Multi-Intermediate State Machine

The vehicle detection algorithm is an important part of the intelligent transportation system. The accuracy of the algorithm will determine whether accurate vehicle information can be obtained. The system contains several functional modules, including signal amplification, wireless communication, A/D converter, and sensor set/reset functions. To detect all the intersection vehicles, a number of magnetoresistive sensors are connected to the computer system through the wireless communication module, and then, the detected vehicle information will be transferred back to the master host computer. In this paper, two common vehicle detection algorithms, fixed threshold algorithm and adaptive threshold algorithm, were analyzed in the vehicle detection system with magnetoresistive sensors, simultaneously. Finally, an improved multi-intermediate state machine algorithm for vehicle detection was proposed. Using the intermediate state, this algorithm cannot only detect when the vehicle enters the detection area but also decide whether the vehicle leaves the sensor node or not. In this way, it improves the detection accuracy.
ORGANIZATION OF GUITARISTS’ CONCERT EVENTS IN THE CONDITIONS OF DISTANCE LEARNING

The article analyzes the possibilities for organizing concert events for guitarists in terms of distance learning. It is highlighted that the introduction of distance learning on March 12, 2020 has made changes in the organization of the domestic educational process; the acquisition of competence, which involves interaction with the audience to convey musical material during a public performance, was threatened. The experience of famous artists in overcoming the creative crisis is analyzed. N. Paganini said that even for one listener he would play with inspiration; G. Gould argued that the artist should be given anonymity; D. Matsuev, after the first concert in an empty hall, said that such concerts are needed primarily for the public, which now forced to sit at home and unable to attend a concert hall; A. Bocelli said that thanks to live music that unites millions of folded hands around the world, we will embrace the pulsating heart of this wounded land, employees of the Lviv National Philharmonic launched a project “Sound of the Lviv Philharmonic”, which is needed for Lviv residents who pay attention to the music heard on the street and musicians who realize their potential in online concerts. The problems of guitarists that arise when working in a music studio are identified. It is established that young performers often do not take into account the issues of room acoustics when organizing concert events. It is generalized that there are several options for the implementation of concert activities of guitarists in terms of distance learning: the organization of a concert in an empty hall with video recording for further placement on Internet sites; audio or video recording in a music studio; shooting short video clips at home (using a phone, webcam, camcorder, etc.), which can be an advertisement for the artist, or a message about the organization of a creative event.
Lexical Cohesion on Displayed Part and Meta-Description on Website

The application of lexical cohesive devices is one of the ways to maintain coherence among parts in a text.Generally, coherence is formed by the relation among parts in a text, both grammatically and lexically.This article focuses on the lexical cohesion of website text.In applying lexical cohesive devices in a website, the lexical cohesion relates not only to parts that we can see and read on the website page (displayed part) but also the internal part (meta-keywords and meta-description).This article aims to describe the implementation of lexical cohesion that builds up both parts, displayed part, and meta-description.The data source of this research is 41 texts of tour packages of both parts.The data were collected by using Antconc.The data that have been collected were analyzed by employing the lexical cohesion theory proposed by Halliday and Hasan.The result of the analysis showed a harmonic pattern.However, not all lexical devices applied to the displayed part was applied to the meta-description.
How Much Will State and Local Governments Automate

The pandemic is pushing government agencies to consider automation as they face budget constraints. Automation is helping government do more with less.
Impact of Cloud Computing Application on HRM

The advantages of cloud computing for organizations are self-evident, but for human resources experts cloud computing applications might be especially valuable. In bigger companies, HR groups are typically spread out over various regions of a building, various area of the nation or different time zones.This is probably going to bring about an absence of communication, where recruitment specialists can only with significant effort converse with team member or the other way around, and HR team member  don't generally have prepared access to information observed and updated by another division.A cloud-based HR system can help remove the administrative worry from a developing HR group and permit them to focus on their business.
Comfort Management System for providing information to maintain physical and mental condition

We present a comfort management system that consists of a collecting part of physical data by IoT (Internet of Things) and wearable devices and mental data by web-based questionnaire using communication chat tool “Slack” and an information provision part to display useful information to maintain better condition. In this paper, we introduce the data collection part and its applicability. In order to check it, we conducted an experiment for about one month with five households. As the result, physical environmental data has 93.4, physical data has 55.3, mental data has 92.3 recovery percentage.
Enconter: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer

Pretrained using large amount of data, autoregressive language models are able to generate high quality sequences.However, these models do not perform well under hard lexical constraints as they lack fine control of content generation process.Progressive insertion-based transformers can overcome the above limitation and efficiently generate a sequence in parallel given some input tokens as constraint.These transformers however may fail to support hard lexical constraints as their generation process is more likely to terminate prematurely.The paper analyses such early termination problems and proposes the ENtity-CONstrained insertion TransformER (ENCONTER), a new insertion transformer that addresses the above pitfall without compromising much generation efficiency.We introduce a new training strategy that considers predefined hard lexical constraints (e.g., entities to be included in the generated sequence).Our experiments show that ENCONTER outperforms other baseline models in several performance metrics rendering it more suitable in practical applications. 1
SCIENTIFIC CONTENT OF THE CATEGORY «SOCIAL-PROFESSIONAL MATURITY» ОF PERSONALITY

The concepts of «personal maturity» and «professional maturity» are often used in the literature, which are not identical since they describe different psychological realities. Personal maturity is defined by the authors as a key new formation of age, which radically changes the previous social situation of development, as a psychological new formation. That is, professional maturity may be a relatively autonomous entity that does not necessarily correlate with personal growth. Personal maturity is characterized by a process of internal personal transformation, the source of which is the individual's need for self-actualization and sense of identity. Autonomy is determined as the most important feature. Personal maturity within the functional approach framework is considered as a self-regulatory system, where the main function is the transformation (regulation) of the ontogenetic development process into a purposeful, systemic, personality-given process that acquires individual features in the means, conditions and purposes of this development. It is known that the effectiveness of socio-pedagogical activities largely depends on the level of training, theoretical knowledge and practical skills of the teacher, one’s skills and abilities to establish contact with the student. In our opinion, the best indicator of the quality of socio-pedagogical training, primarily, is the effective implementation of future professional activities. We believe that the criterion for ensuring the effective performance of professional duties is a high level of future teacher’s socio-professional maturity development. Social maturity consists of individual components like any complex, integral phenomenon. Certain states of personality that accompany one’s activities in various spheres of public life act as such components. There are many approaches in the scientific literature to building the structure of social maturity and to identifying the components that are of most importance and play the role of «supporting element» of the «core» of social maturity.
Improving Students Listening Comprehension with Mobile App “English Listening Test”

The use of Android smartphones will improve the skills of English Language Learners to the segments of the level they want to achieve. Language students are able to select the various android apps as necessary, such as speaking, listening, reading, writing, components of languages, vocabulary mastery, and even sentence structure in English. This can be used as an English aid by all levels of learning or can be used as a media resource. The purpose of the study was to find out the use of the Mobile-based English Listening Test App enhances students' listening comprehension. The methodology towards this research was quantitative. This research used a pre-experimental sampling frame using pre-test and post-test. In collecting the data, the researchers used the listening test as an instrument. The subjects of the research were SMK Gelora Bekasi's 10th grade students. The result reveals that the total student post-test score in the experimental class was higher (15,871) than in the control class (2,028). Based on the t-test, above 15,871 average result was obtained at the level of freedom (df) of 36 (36-1 = 35), while 2,028 of of average result was obtained at the level of significance of 5 percent. Since t0 is higher than the tt score obtained from the results of the calculation, a positive hypothesis (H1) can be acknowledged. The hypothesis finding implies that the use of the Mobile English Listening Test App enhances students' comprehensive listening skills.
The Problematics of Financing and Funding Efficiency on Economic Basis in Schools in the Era of Pandemic Covid-19

The covid-19 outbreak has weakened educational institutions in economic factors and became the basis for the authors to analyze the problems of financing and funding efficiency in the economic foundation of schools. The method used by the author is literature review with data analysis using the N-Vivo R1 platform by generating a word frequency query. The results obtained were that the covid-19 problem caused schools to have difficulty managing school finances at macro and micro levels and had to try to make the best possible efficiency of funds.
E-learning for Managing Lesson in Pandemic Era in SMA 2 Lubuk Sikaping

School atmosphere in pandemic era mostly different with the normal one. An alternative to ensure learning process done by using online learning. But many teacher was not familiar with this type of learning approach. It is an extraneous because teacher never used it before. By workshop supported by devotee, teachers design an alternative. Some free software discuss during socialization, they are edmodo for moving offline class into virtual class, wonderful filmora for creating and editing video, quizzes and kahoot for quiz. The workshop is categorized success, based on teachers' respon which is collected using open questionnaire in every meetings.