Reviewerly/exHarmony huggingface dataset:
KELAYAKAN HANDOUT STRUKTUR DAN FUNGSI JARINGAN TUMBUHAN DENGAN TAMBAHAN DISTRIBUSI STOMATA DAN LAJU TRANSPIRASI

This study aimed to determine the feasibility of handout of submaterial structure and function of plant tissue with additional information about the stomatal distribution and transpiration rate used as teaching material. The research method used a descriptive. The validation was conductive by 5 validators and the validator was divided into two, namely the instrument validator and the handout teaching material validator. The instrument validator consisted of 2 Biology Education lecturers at FKIP UNTAN and 1 high school biology teacher in senior high school grade XI pontianak. The handout teaching material validator consisted of 2 Biology Education lecturers at FKIP UNTAN and 3 biology teachers senior high school grade XI pontianak using the 2013 curriculum and school accreditation A. The assessment used 5 aspects and 10 criteria. The results of handout validation of structure and function of plant tissue submaterial in senior high school grade XI of teaching materials with additional information based on the stomatal distribution and the transpiration rate in six monocot plants obtained an average CVR and CVI results 0.99 categorized valid and feasible to be used in the learning process. However, further research was needed on the effectiveness of learning outcomes used handout teaching materials in the learning process.
Assigning Character Strings to Links for Construction of Concept Networks

In this paper, we propose a method of extracting character strings from newspaper articles and adding them to the links of a word network to express node relationships. Attaching such strings to links enables us show the word relationships. When we evaluated the results in terms of the mean reciprocal rank (MRR), Top-1 accuracy rate, and Top-5 accuracy rate and considered answers with additional or missing information to be correct, the MRR was about 0.7, the Top-1 accuracy rate was about 0.6, and the Top-5 accuracy rate was about 0.9.
Communication Strategy of the National Narcotics Agency (BNN) in Overcoming Drug Users in Bengkulu City

The purpose of this study was to determine various kinds of developments both in form and substance. In ancient times, drugs were only limited to opium and marijuana (natural), but the impact of the development of science and technology has also developed from the substance and form of drugs by conducting chemical studies by chemists who are used by drug manufacturers. to produce drugs to be more developed and varied so that they can benefit the perpetrators. This type of research is descriptive qualitative research, so that it can be described systematically about a situation, situation, and phenomenon, about the communication strategy of the National Narcotics Agency in tackling drug abuse in Bengkulu. The Bengkulu National Narcotics Agency does not have a specific strategy in conveying communication about the dangers of this drug, but when the researchers conducted interviews there were people who were reluctant to cooperate in eradicating this drug trafficking, even people who were addicted were reluctant to report and were reluctant to be rehabilitated by the National Narcotics Agency. Bengkulu, even though the aim of the Bengkulu National Narcotics Agency is very good to help the dependent.
Development of Hy-Quiz Learning Media Based on Android to Improve Students’ Learning Motivation in Nomenclature of Hydrocarbon Derivative Compounds Sub Material

This research aims to obtain a Hy-Quiz learning media based on Android as a learning media for nomenclature of Hydrocarbon Derivative Compounds sub material. The 4D development model is the method that has been used in this research. The instruments that have been used are validation sheet, students’ response questionnaire sheet, student learning motivation questionnaire sheet, pretest, and posttest. The limited trial of this research was 27 students of SMA Negeri 3 Sidoarjo. The score of the validity test is more than three with good category. The score of practicality is more than three in every aspect with very practical category. The effectiveness of Hy-Quiz learning media is from students’ learning outcomes and students’ learning motivation questionnaire sheet. The classical completeness achieved is 82% and for the students’ learning motivation get a response of ≥ 81% with a very effective category. So it can be concluded that the Hy-Quiz learning media has complied with the aspects of validity, practicality, and effectiveness as a learning media.
Dasar Komunikasi Berbahasa Inggris dan Manajemen Perkantoran di Sekolah Vokasi Dalam Menghadapi Kenormalan Baru

This service activity intends to teach awareness of English communication and office management in the new normal period through lectures and basic training. Furthermore, this activity for SMK Xaverius Palembang students aims to improve basic English conversation skills as well as a good understanding of theory and practice in office management, especially for vocational school students who are expected to be ready to face the world of work, especially in the stage of adapting to the new normal era. The pulpit approach, exercises, and classroom practice are all used. The activity, which lasted two days and involved 103 students, included a placement test and a post-test at the beginning and finish, as well as face-to-face exercises to provide office management training in class with materials that were suited to the students' levels.
Preface to the Special Issue on “Control, Optimization, and Mathematical Modeling of Complex Systems”

Complex systems have long been an integral part of modern life and can be encountered everywhere [...]
Penerapan Metode Moora dalam Penilaian Kinerja Guru di SMK Negeri 3 Kota Bengkulu

Every school must have a Teacher Performance Assessment (PKG), one of which is SMK Negeri 3 Bengkulu. At this school, teacher performance assessments are carried out annually based on predetermined criteria. However, in the assessment process it is still done manually, the impacts that occur are errors in giving grades and differences in understanding between teachers because they feel less satisfied and inaccurate grades, causing instability in the teaching and learning process as well as gaps between teachers in schools. The teacher performance assessment application at SMK Negeri 3 Bengkulu City is an application that is used to facilitate the process of managing teacher performance assessment data in schools, where this application is made using the Visual Basic .Net programming language and SQL Server 2008r2 database. In this application, one of the Decision Support System Methods (DSS) has been applied, namely the Moora Method, so that the final result of the evaluation of teacher performance assessment is based on the calculation of the Moora Method. This can be used as an alternative in helping the school to add additional benchmarks for evaluating teacher performance assessment through the Moora Method approach which is calculated computerized so that the final score for each teacher will be made a ranking of the highest value to the lowest value. Based on the results of black box testing, the functionality of the teacher performance appraisal application at SMK Negeri 3 Bengkulu City has been running as it should and is able to display the final results of the teacher performance assessment based on the Moora Method process.
Identification of Grammatical Errors of English Language Based on Intelligent Translational Model

To address the problem of low kappa, precision and recall values, and high misjudgment rate in traditional methods, this study proposes an English grammatical error identification method based on a machine translation model. For this purpose, a bidirectional long short-term memory (Bi-LSTM) model is established to diagnose English grammatical errors. A machine learning (ML) model, i.e., Naive Bayes is used for the result classification of the English grammatical error diagnosis, and the N-gram model is utilized to effectively point out the location of the error. According to the preprocessing results, a grammatical error generation model is designed, a parallel corpus is built from which a training dataset for the model training is generated, and different types of grammatical errors are also checked. The overall architecture of the machine translation model is given, and the model parameters are trained on a large-scale modification of the wrong learner corpus, which greatly improves the accuracy of grammatical error identification. The experimental outcomes reveal that the model used in this study significantly improves the kappa value, the precision and recall values, and the misjudgment rate remains below 1.0, which clearly demonstrates that the detection effect is superior.
Causes of famers Suicides in Karnataka: A Fuzzy cognitive analysis

The focus of this article is to determine the prominent causes of farmer suicides from the identified causes of a study by the Institute for Social and Economic Change, Bengaluru from selected districts of Karnataka.There are differences of opinions among the various experts on the causes for agrarian distress and farmer suicides.There has been an increase in the rate of farmers' suicides in India in general and Karnataka for the past twenty years and the reasons for this has been very widespread.In this research, an attempt was made to determine the hidden pattern for the listed causes and then find out the prominent cause leading to farmers' suicides through the implementation of Fuzzy Cognitive Maps.Results indicate that a few causes statistically affect farmer suicides in a smaller percentage, but cognitively these few causes can in turn play a role in influencing the causes which affect farmer suicides at a larger rate.
PENGARUH DARING DAN MOTIVASI BELAJAR TERHADAP PRESTASI BELAJAR SISWA

This study aims to determine the effect of online learning motivation on student achievement at SMK Negeri 2 Selong during the Covid-19 pandemic. This research uses quantitative methods. Research data collection techniques using a questionnaire. The research sample was 53 students of SMKN 2 Selong using purposive sampling technique. The analytical tool used is multiple linear regression model. Based on the results of multiple linear regression analysis with an online coefficient value of 0.778 indicating a positive influence and a learning motivation regression coefficient value of 0.078 indicating a positive influence. While the results of the partial analysis show that the online significance value on learning achievement is 0.00 &lt; 0.05 and the t-count value is 6.930&gt;2.00, the significance value of learning motivation on learning achievement is 0.00 &lt; 0.05 and the t-count value is 3.977 &gt; 2.00, partially showing that there is a significant effect. So the results of this study indicate that there is a positive and significant influence between online and learning motivation partially on student achievement.Penelitian ini bertujuan untuk mengetahui pengaruh daring motivasi belajar terhadap prestasi belajar siswa SMK Negeri 2 Selong selama pandemi Covid19. Penelitian ini menggunakan metode kuantitatif. Teknik pengumpulan data penelitian dengan menggunakan kuesioner. Sampel penelitian adalah siswa SMKN 2 Selong 53 orang siswa dengan menggunakan teknik purposive sampling. Alat analisis yang digunakan adalah model regresi linier berganda. Berdasarkan hasil analisis regresi linier berganda dengan nilai koefisien daring sebesar 0.778 menunjukkan pengaruh positif dan nilai koefisien regresi motivasi belajar sebesar 0.078 menunjukkan pengaruh positif. Sedangkan hasil analisis parsial menunjukkan nilai signifikansi daring terhadap prestasi belajar sebesar 0.00 &lt; 0.05 dan nilai t hitung sebesar 6.930 &gt; 2.00, nilai signifikansi motivasi belajar terhadap prestasi belajar sebesar 0.00 &lt; 0.05 dan nilai t hitung sebesar 3.977 &gt; 2.00menunjukkan secara parsial terdapat pengaruh signifikan. Maka hasil penelitian ini menunjukkan bahwa terdapat pengaruh positif dan signifikan antara daring dan motivasi belajar secara parsial terhadap prestasi belajar siswa.
PENGGUNAAN METODE VIRTUAL FIELD TRIP BERBANTUAN AUGMENTED REALITY TERHADAP KEMAMPUAN LITERASI BIODIVERSITAS SISWA PADA MATERI KEANEKARAGAMAN HAYATI

The application of the Virtual Field Trip method plays a role in providing opportunities for students to be independent in their learning outside the classroom while increasing student motivation, reducing student stress; The important combination of these positive factors allows conceptual learning in Biology especially on biodiversity materials to be more effective in pandemic conditions. The purpose of implementing VFT is to replace conventional field trips, and introduce students to various aspects that are not easy to study directly for safety reasons, such as steep valleys and cost efficiency. Augmented Reality (AR) technology can incorporate 3D objects into a real environment. Biodiversity learning must involve students actively and use the surrounding environment as a learning resource with the ultimate goal of which is to increase literacy in biodiversity conservation. This is because biodiversity conservation literacy is included in scientific literacy which requires objective observation so as to encourage one's ability to understand various biodiversity, conservation efforts and communicate and apply conservation knowledge to solve problems that related to biodiversity issues
Solar Energy Prediction Using Particle Swarm Optimiser Trained Recurrent Neural Network

In recent years, renewable energies have been covering an increasing part of the worldwide electrical power demand. The amount of solar radiation received by the earth’s surface is very important to numerous renewable energy applications. However, direct measurement of solar data is not widely available, especially in developing countries such as Nigeria. Numerous statistical methods have been developed and used in the areas of solarenergy prediction. Statistical approaches such as; Auto Regressive Moving Average (ARIMA), and linear regression (LR) are used. The challenges of using these statistical approaches are Linear methods (works best when the data is linear), high mathematical complexity and dependence on prior knowledge of how the time series was generated. In the meantime, data and computational poweravailability have enabled machine learning algorithms to perform improved predictions. The need to predict solar energy output is essential; machine learning models can be employed. In this work, Particle Swarm Optimization (PSO) and Back propagation (BP) algorithms were used to train a Recurrent Neural Network (RNN) to model monthly mean daily solar radiation values. The inputs to the network are month, sunshine duration, latitude, longitude, and altitude of the location. The BP algorithm is compared with the PSO algorithm trained by the RNN. The PSO outperformed the BP in most cases with average accuracy for the BP at about 0.71, 0.725, 0.76, 0.735 and 0.78, 0.8, 0.84, 0.815 for the PSO algorithm for the four (4) datasets used.
HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization

We propose a unified framework that enables us to consider various aspects of contextualization at different levels to better identify the idiomaticity of multi-word expressions.Through extensive experiments, we demonstrate that our approach based on the inter-and inner-sentence context of a target MWE is effective in improving the performance of related models.We also share our experience in detail on the task of SemEval-2022 Task 2 such that future work on the same task can be benefited from this.
The Rise and Fall of High APY Decentralized Autonomous Organizations in the Blockchain Ecosystem

Abstract: The Blockchain ecosystem provides a space for developers and investors alike. Every few years we notice a certain type of project that catches the eyes of investors that disrupts the whole ecosystem, seeming to provide the most value/ returns in the eyes of the investors. Oftentimes, as history has proven these projects are nothing but a mirage formed by complex mechanisms that prove no utility/ work in a way that seems valuable at first but is an implementation of something very simple once understood. Decentralized Autonomous Organizations are a recent ecosphere of projects that took over the industry- built over possibly every layer 1 and layer 2 blockchain. This is a study on why the working of the DAOs was fundamentally flawed and the catalysts that caused projects on such a large scale to fail.
Construction of College English Teaching Information Resource Integration Model Based on Fuzzy Clustering Algorithm

The existing college English teaching information resource integration methods have problems of low recall rate, low accuracy rate, and long integration time. Therefore, this paper constructs a college English teaching information resource integration model based on fuzzy clustering algorithm. The ant colony algorithm is used to optimize the topic crawler, the optimized topic crawler is used to collect the college English teaching information resources in the mixed teaching mode, and the weight and naive Bayes algorithm are combined to classify the collected resources. According to the results of resource classification, fuzzy clustering algorithm is used to construct the integration model of college English teaching information resources. The experimental results show that the recall rate of the proposed model is more than 95%, the accuracy rate is more than 94%, and the average resource integration time is only 0.71 s, indicating that the model has relatively reliable performance.
The regulation of hate speech online and its enforcement - a comparative outlook

On the initiative of the British Association of Comparative Law, this issue develops a broad comparative perspective on aspects of the legal regulation of hate speech online in China, France, Germany, the UK, Europe and the US. This editorial introduces the key lines of debates running through the papers. First, contributors discuss the appropriate role of public and private actors in regulating hate speech, with extensive reference to the German NetzDG and consideration of the UK Online Safety Bill. They also consider the communicative environment in which hate speech or ‘vilification’ arises; the ‘intermediate’ regulation or restrictions that sit between inclusion and prohibition of hate speech; and the concerns about the control, or lack of control, exercised by private actors over the speech of governmental public figures. They finally remind us that different legal and political cultures ultimately shape regional approaches, even when they share apparently similar rules.
EDUCATIONAL DISCIPLINE “FAIRY-TALE THERAPY IN WORKING WITH CHILDREN” IN THE SYSTEM OF FUTURE SPECIAL EDUCATION TEACHERS’ PROFESSIONAL TRAINING

The article substantiates that in connection with the challenges of modern pedagogical science and the need to have in the system of professional training of special education teachers a program aimed at mastering future specialists in this category of the latest correctional, pedagogical, psychological, health-saving and psychotherapeutic technologies of working with children of different ages, including those with special educational needs, the content of the working program "Fairy tale therapy in working with children" was worked out.Such a discipline can be both a part of the invariant part of the curriculum, and an optional course.It consists of 3 modules: Module 1. Theoretical background of fairy tale therapy.Module 2. The use of fairy tale therapy in working with children of different ages.Module 3. Fairy-tale psychodiagnostics and correction.Thus, module 1 aims to get acquainted with fairy tale therapy as one of the areas of art therapy, types of fairy tales, forms, methods, techniques and algorithm of working on a fairy tale, techniques used in fairy tale therapy, as well as planning and conducting correctional classes with children using fairy tale therapy.Module 2 contains information on the content of the use of fairy tale therapy in working with preschoolers, primary schoolchildren, adolescents and senior school children, and also the perception of fairy tales by children of different ages and adults.Module 3, the content of which is a fairy-tale psychodiagnostics and correction, provides coverage of the specifics of working with different categories of children who experience certain psychological, physiological, personal developmental problems, learning difficulties, etc., as well as the work of a specialist with the family of the child.In addition, this module presents fairy tale therapy as an opportunity to determination (in the profession, preferences).Prospects for further research may be reviewing, analyzing and modifying the content of the working program "Fairy Tale Therapy with Children" for professional training other categories of educators: speech therapists, preschool teachers, primary school teachers, practical psychologists, social educators, teachers of languages and literature, taking into account the specifics of their practical activities.
PERBEDAAN MOTIVASI BELAJAR MAHASISWA INDEKOS DENGAN MAHASISWA YANG TINGGAL BERSAMA ORANG TUA

The purpose of this studty was to show the difference in learning motivation between indekos and students who live with their parent. This research is comparative research using quantitative methods. The Product Moment Correlation formula is used for instrument validation and the Spearman Brown formula (Split Half Method) is used for reliability testing. The population of this study is all students of Economic Education 2018 Faculty of Teacher Training and Education, Sriwijaya University, which amounts to 62 people. Questionnaires and interviews are used for variable data X1 (motivation to study indekos students) and X2 (motivation to learn students who live with their parents). The results of this study showed that there was no significant difference between the learning motivations of indekos students and students who lived with parents. The motivation to study indekos students has an average of (80.71), while the motivation to learn students who live with parents is (84). The hypothesis using parametric statistics the t-test is obtained that thitung=-8.09 ? ttabel =1.671 then Ha was rejected and Ho accepted. Tujuan dari penelitian ini adalah untuk menunjukkan perbedaan motivasi belajar antara mahasiswa indekos dengan mahasiswa yang tinggal bersama orang tuanya. Penelitian ini merupakan penelitian komparatif dengan menggunakan metode kuantitatif. Rumus korelasi product moment digunakan untuk validasi instrumen dan rumus spearman brown (metode split half) digunakan untuk pengujian reliabilitas. Populasi dalam penelitian ini adalah seluruh mahasiswa pendidikan ekonomi 2018 FKIP UNSRI yang berjumlah 62 mahasiswa. Angket dan wawancara digunakan untuk mencari data variabel X1 (motivasi belajar mahasiswa indekos) dan X2 (motivasi belajar mahasiswa yang tinggal bersama orang tua). Dari hasil penelitian ini menunjukan bahwa tidak terdapat perbedaan yang signifikan antara motivasi belajar mahasiswa indekos dan mahasiswa yang tinggal bersama orang tua. Motivasi belajar mahasiswa indekos memiliki rerata sebesar (80,71), sedangkan motivasi belajar mahasiswa yang tinggal bersama orang tua sebesar (84). Hipotesis menggunakan statistik parametris yaitu uji-t dan diperoleh t-hitung = - 9,09 ? t-tabel = 1,671 maka h0 diterima h0 ditolak KREATIVITAS MENGAJAR GURU DAN PERHATIAN ORANG TUA TERHADAP MOTIVASI BELAJAR SISWA PADA MASA PANDEMI