Reviewerly/exHarmony huggingface dataset:
THE INFLUENCE OF JIGSAW STRATEGY TO STUDENTS’ READING COMPREHENSION

This study highlighted the implementation of jigsaw strategy to improve eleventh graders’ reading comprehension at SMA Karya Ibu Palembang. Jigsaw is one of learning strategies under cooperative learning method that promotes group work and problem solving practice among the group members. This strategy encourages each member to focus on solving a given task in a reading practice. The objective of this study was to find out whether or not jigsaw strategy could significantly improve students’ reading comprehension of explanation text. It examined the influence of Jigsaw strategy on students’ reading achievement. Pre-experimental research design was administered as the research method since it had no control group involved. 35 students of eleventh grade that categorized low in reading achievement, participated as the sample of this study. A reading comprehension test, consisting of 20 items of multiple choice, used as the data collection technique. The obtained data was analyzed using Paired Sample T-Test. Research finding showed that Jigsaw strategy could significantly improve students’ reading comprehension.  The result of Paired Sample T-Test revealed that the value of t- obtained (8.864) was higher than the value of t- table (2.032) and the significance level (2-tailed) was 0.000. It indicated that jigsaw strategy contributed significant influence toward students’ reading comprehension. Keywords : jigsaw, reading comprehension, cooperative learning
UTILIZATION OF FINANCIAL INFORMATION TECHNOLOGY FOR RUADHATUL ATHFAL TEACHERS WHO JOIN IN IGRA KECAMATAN SEMARANG BARAT

The world of early childhood education and kindergarten is increasingly developing in Indonesia. Education providers are not only under the Ministry of Education and Culture but also under the Ministry of Religion or education providers such as Raudhatul Athfal (RA). The Raudhatul Athfal Teachers Association (IGRA) is an organizational forum for RA teachers which is the equivalent of a kindergarten. IGRA was first established in 2002 on the basis of the vision and mission of Islamic-based education. The problem faced by IGRA members of West Semarang Subdistrict is that the administration of financial management is not tidy as material for reports and accountability to the management. Through the initial survey stages to the Chairperson of the Semarang City IGRA, it is necessary to hold a community partnership program with IGRA members of the West Semarang District. This activity aims to improve the competence of RA teachers who are IGRA members in using information technology. The partnership program provided is in the form of an introduction to basic excel learning and the use of financial management applications that have been prepared by the service team. The result of this partnership program is increased competence and knowledge of information technology in financial management applications. Participants can also make student financial administration arrangements such as paying tuition fees, uniform money and savings according to the agreed reporting mechanism. The result of this partnership program is increased competence and knowledge of information technology in financial management applications. Participants can also make student financial administration arrangements such as paying tuition fees, uniform money and savings according to the agreed reporting mechanism. The result of this partnership program is increased competence and knowledge of information technology in financial management applications. Participants can also make student financial administration arrangements such as paying tuition fees, uniform money and savings according to the agreed reporting mechanism.
EFEKTIVITAS METODE LATTICE TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS III DI MI MIFTAHUL ULUM SIMBATAN LAMONGAN

This study aimed to analyze a lot of factors, such as found out the application of the Lattice method to the learning outcomes of class III mathematics, found out the supporting factors and inhibiting factors in the teaching and learning process of mathematics, and also found out the solutions for the inhibiting factors of mathematics learning outcomes in MI MiftahulUlumSimbatanLamongan. This study has used a quantitative type of experimental of squasi experimental with nonequivalent control group design.The data collection techniques were carried out by observation, interviews, tests and documentation. Before being treated, the two classes were tested for their balance by tests of normality, homogeneity, and the similarity test of two averages, then both classes were given different treatments, the experimental class used the Lattice method while the control class used the lecture method in solving problems related to multiplication. In the hypothesis test the researcher used the independent samplet test with the result that an increase in the pretest experimental class 51.63 increased to posttest 78.44 and the pretest control class 47.54 increased to 68.69. Based on calculations with SPSS 25 the results obtained are sig 0.007 less than 0.05, which had meant that the Lattice method is effective in improving mathematics learning outcomes of third grade students at MI MiftahulUlumSimbatan
Research Guides @ Fordham: Cybersecurity: Start Here

A collection of resources relating to Cyber Security Some resources on cybersecurity to get you started
LibGuides: Reference Materials: HBU Accounting, Economics, and Finance Programs: Degree Plans

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Penerapan Crossword Puzzle untuk Meningkatkan Pemahaman Konsep Uang pada Siswa Sekolah Dasar

The purpose of this research was to improve comprehension concept of money at the third grade students of SD N Kemasan 1 Boyolali by crossword puzzle. The type of this research is classroom action research held in two cycles. The subject of this research were teacher and 21 students at the third grade of SD N 1 Kemasan academic year 2017/2018. The data were collected by interview, observation, test, and document analysis. Data validity is tested by content validity, triangulation of source and technique. The data analysis used descriptive comparative technique and interactive analysis model Miles Huberman. The results of research is by applied crossword puzzle can improve comprehension consept of money.
Adaptive Algorithm for Solar Tracking in Photovoltaic Power Plants

The diversity of the energy matrix in the world is one of the challenges demanding fornew researches with alternative energy sources to bring exibility and sustainability in their use.According with this panorama, the generation of electric energy with solar photovoltaic systemsemerges as an important goal, and its technology is constantly advancing as an immediatesolution for this quest of diversity. This paper presents a predictive control for a solar trackingalgorithm to be used in single or double axis photovoltaic systems. The main characteristicand contribution of this algorithm represents a functional technological innovation because itdoes not use any sensors to determine the position of the Sun with respect to the panel. Suchalgorithm avoids unnecessary movements in cases of shadows on the panels caused by clouds,or some animal that could interfere on systems using the conventional sensors. The proposedsolar time algorithm was tested and compared with eld values, predicting the correct Sunposition with accuracy of less than 1o. The qualitative and quantitative results presented hereevidenced the real gain of the proposed algorithm-based system without any sensors to increasethe generation gain of photovoltaic power plants.
대면 / 비대면 PBL 한국어학 전공 강의 사례 연구

This study investigates real cases of operating two core courses, Contrastive Linguistics and Teaching Methods of Understanding Korean by adopting a Problem-Based Learning approach: PBL. The study shows concrete and practical examples of when to begin and end the module including PBL issues, the teaching and learning activities that take place in the module process, the final presentation, and the evaluation plan after the presentation, etc. The research like this is essential at the time when the importance of an education model for reinforcing core competencies and job skills comes to the fore. It is also meaningful in that the study considers developing a PBL problem-solving curriculum out of core courses for educating Korean language teachers. In the situation of universities’ sudden shifting to non-face-to face education policies with the recent impact of COVID-19, it is somewhat difficult to continue problem-based learning methods. This study will also cover some empirical tips to lead learners to self-directed problem-based learning while proceeding the Korean Semantics course non-face-to-face during this semester. The study concludes that learners of PBL subjects will be able to achieve the group’s common goal of cooperating with members and develop skills for better mutual communication by cultivating teamwork competency through actual performance-oriented team activities. (Sun Moon University)
Pemodelan Sistem Prediksi Kelayakan Pengajuan Kredit Kepemilikan Rumah Dengan Metode C4.5 Dan Naive Bayes

A house for every human being is the main and most important need compared to others needs in general. A financial institution is an institution engaged in the financial sector where its customers are people from various walks of life with various behaviors. Lending is a business activity that carries a high risk and affects the business continuity of a banking company. The problem that is often faced in providing home loans is determining the decision to extend credit to prospective customers, while another problem is that not all home loan payments by customers can run well or commonly known as bad credit. One of the causes of bad credit is an assessment error in making credit decisions. Data mining is a process used to analyze cases in order to find the best performance of an algorithm being tested. One way to get information or patterns from a large data set is to use techniques in data mining. There are many classification methods that can be used to produce precise accuracy values. In this study, two classification algotihm methods are used in classifying the home crediting dataset, namely the C4.5 decision tree algorithm and the Naive Bayes algorithm. The comparison of the two algorithms produces an accuracy value fo the Naive Bayes algorithm of 36.36% and the Decision Tree C4.5 algorithm has an accuracy rate of 59.54%.
Studi tentang perilaku pencarian informasi pada official account line KABIM Universitas Padjadjaran: Surver Deskriptif tentang perilaku pencarian informasi mahasiswa

This research explained about college student’s information seeking behavior through LINE Kabim Universitas Padjadjaran Official Account. The purpose of this research is  to obtained information about college student’s information seeking behavior through LINE Kabim Universitas Padjadjaran Official Account according to information search process model by Carol Khulthau. Khulthau divided information search process into 6 stages: initiation, selection, exploration, formulation, collection, and presentation. This research is quantitative method with descriptive analysis survey. The data were collected by using questionnaire, interview, and literature study. The population of this research was Universitas Padjadjaran college students who add LINE Kabim Universitas Padjadjaran Official Account. This research used quota based sampling and obtained 99 Bidikmisi scholarship recipients as respondent in total. Based on research finding the result of respondents’ initiation process is high, respondents’ selection process is high, respondents’ exploration process is high, respondents’ formulation process is high, respondents’ collection process is high, and respondents’ presentation process is high.
Exploring the Motivators to Satisfy UAE Employees: Private Vs. Public

The United Arab Emirates (UAE) is a busines hub in the Middle East and is sought out place for work by expatriates. Gallup's Great Jobs Briefing (2018) reported UAE as one of the highest achiever for Job-Satisfaction rating, out of 128 countries. It was further reported that 72% jobs are considered as 'good job' in the UAE, based on several determinants. However, there are some contradictory findings regarding employees enagement level, wherein 69% participants were not engaged in the workplace. Further reports from Gallup (2017) found more than 75% UAE employees as highly disengaged and the world happiness report (Helliwell, Layard,, &amp; Sachs, 2019) did not find UAE to be amongst the ranking of happiest countries. Further, there was disinterest in working with private sector as 62% participants preferrred to work in the public sector of UAE. The question then arise, if employees are satisfied, why they are not happy or engaged? Are there any motivational (de) factors that differentiates satisfaction level of employees working in UAE's government sector with those working in the private sector? Keywords: comparison public and private organizations, Herzberg's Two-Factor Theory, job satisfaction, UAE
FINITE PROJECTIVE PLANES AND HAMMING CODES

This paper is a short survey of projective geometry, history of Hamming codes and the relationship between them and projective planes. The projective plane of order , over a finite field , which has arithmetic done , denoted by , is the set of all subspaces of vector space . It can be endowed with the distance function , which turns into a metric space. A code in projective space is a subset of of size such that the distance between any two code-words is at least . The first error correction code, the Hamming code, is intrinsic to the projective plane of order 2 over . A connection between planes and codes is given by construction of Hamming code related to and we generalize them to using Hamming and Generator matrix. The codes constructed in this way are called projective codes.
Hate Detection in COVID-19 Tweets in the Arab Region using Deep learning and Topic Modeling

BACKGROUND: The massive scale of social media platforms requires an automatic solution for detecting hate speech Such solutions will help in reducing the manual analysis of content Most of the past literature has casted the hate speech detection problem as a supervised text classification task, whether by using classical machine learning methods or, more recently, using deep learning methods However, previous works investigated this problem in Arabic cyberspace is still limited compared to the published works in English OBJECTIVE: This study aims to identify hate-speech posted by Twitter users in the Arab region related to COVID-19 pandemic and discover the main issues discussed among them METHODS: We used ArCOV-19 dataset, which is an ongoing collection of Arabic tweets related to the novel Coronavirus COVID-19, starting from January 27, 2020 Tweets were analyzed for hate speech using pretrained Convolutional neural network (CNN) model, and the results of the tweets classification were given a score varied between 0 to 1, with 1 being the most hateful text We also utilized Non-negative Matrix Factorization (NMF) to discover main issues and topics in hate tweets RESULTS: Analysis of hate-speech in Twitter data in the Arab region has identified that the number of non-hate tweets by far exceeded the number of hate tweets, where the percentage of hate tweets in COVID-19 related tweets is 3 2% It also revealed that the majority of hate tweets (71 4%) are in the low level of hate This study has identified Saudi Arabia as the highest Arab country in spreading COVID-19 hate tweets during the pandemic Furthermore, it has shown that the second time period (Mar 1- Mar 30) has the largest number of hate tweets which represents 51 9% of all hate tweets Conflicting to what was anticipated, in the Arab region, it has been found that the spread of COVID-19 hate-speech in Twitter is weakly related with the dissemination of the pandemic based on Pearson correlation coefficient test (r value is 0 1982) The study has also identified the discussed topics in hate tweets during the pandemic Analysis of 7 extracted topics showed that 6 of the 7 identified topics involved topics related to hate against China and Iran Arab users also discussed topics related to political conflicts in Arab region during the COVID-19 pandemic CONCLUSIONS: To nations around the world, the COVID-19 pandemic was a serious public health challenge During COVID-19, frequent use of social media can contribute to spreading hate speech Online hate speech can have a negative impact on society, and hate speech may have a direct correlation with real hate crimes, which raises the threat of being targeted by hate speech and abusive language This study is the first to analyze hate speech in the context of Arabic COVID-19 tweets in the Arab region
The logic of metaphysical modality

This chapter provides some background explanations: first, of what is meant by metaphysical modality, and second, of the basic ideas of the logic of modality and alternative modal logics. It presents some arguments for the view that the logical principles governing metaphysical necessity and possibility are those of the strongest normal modal logic. In the model-theoretic semantics for modal logics developed in the late 1950s and early 1960s, an interpretation is based on a set of indices—usually called ‘(possible) worlds’. Modern texts usually present modal logics as natural deduction or tableaux systems, in part because they make the construction of proofs easier than it is in axiomatic systems, but comparison of different systems is simpler if they are presented axiomatically. The chapter deals with alethic modalities—that is, roughly, with modalities having to do with the kind or mode of truth attaching to propositions.
Assistance to students in mastering skills to resist the influence of destructive online communities

The article presents the results of the impact of the Internet and virtual network communities on students. The main research method was the questionnaire of the international research project of the London School of Economics and Political Science (LSE), the UNICEF-Innocenti Research Bureau and the EU Kids Online network - Global Kids Online. The authors propose a solution to the problem of the effects of destructive Internet communities on students through the creation of a communicative field for successful socialization of students.
How to Improve the Customer Experience While Reducing Identity Risks

Well-designed identity and access management is critical for state and local agencies as they reduce fraud.
Research on the Design of Interdisciplinary Simulation Comprehensive Training Teaching System of Economics and Management from the Perspective of New Finance and Economics

In the new financial era, the realization of teaching objectives must be based on the integration and development of different majors. Therefore, for any professional practical courses, we should not confine our vision to this major, but should focus on the whole economic management specialty. Based on this, we designs a set of comprehensive simulation training teaching system. The system can build a three-dimensional talent training mode, cultivate innovative and applied talents.
Networks Analysis of Technology Convergence in Patent Performance of National R&amp;D Program

Purpose The purpose of this study is to analyze the changes in the technology convergence network of national R&D patent performance and the differences in technology convergence research trends between independent R&D and collaborative R&D. Methods Co-occurrence networks have been established in which multiple International Patent Classification (IPC) codes appear per patent in 2014 and 2017. Then, network analysis methods and QAP (Quadratic Assignment Procedure) analysis methods have been used in this study. Results As a result, this study shows that the degree of linkage between technologies related to national R&D projects has increased over time. The main fields of technology convergence research have been changed to ICT fields such as digital and data (G06Q, G06F) and bio fields such as food (A23L) and cosmetics (A61Q). The Ministry of Agriculture, Food and Rural Affairs actively conducts convergence research by introducing new technologies such as ICT. The Ministry of Health and Welfare actively conducts convergence research in the field of bio-health. Conclusion This study showed the changes and characteristics of technology networks of convergence R&D and collaborative R&D. The results of this study are expected to be used as a guideline for decision making in the government''s R&D policies.
The Effects of the Specific Attitudes toward the Fourth Industrial Revolution and Job Satisfaction

The period of the Fourth Industrial Revolution is our near future and the ongoing changes in this age. We need to strive to adapt to this changes and also try to create new values. This study focuses on workers' perceptions and attitudes (self-efficacy, expectancy, and acceptance of change) toward the Fourth Industrial Revolution. These positive attitudes toward the upcoming future and the Fourth Industrial Revolution will influence on both the future and the current attitude, behavior and performance of employees. People have certain attitudes to the future, and these attitudes have an impact on current behavior. This paper tries to examine the positive attitudes toward the Fourth Industrial Revolution era and the influence of positive attitudes toward this new age on the current job satisfaction. Through this process, this paper explains what kinds of attitudes the workers should have in the Fourth Industrial Revolution era, and also sheds light on significance and purpose of this paper to explain how these specific attitudes toward the future influence the present performance such as job satisfaction.
FAKTOR LANGSUNG DAN TIDAK LANGSUNG YANG BERHUBUNGAN DENGAN PERKEMBANGAN MOTORIK KASAR DAN HALUS ANAK TK

Abstract Early childhood development greatly influences the quality of future child until adulthood. This research aimed to identified direct and indirect factors that related to the development of coarse and fine motorized kindergarten children in Cikasungka, Tangerang. Type of research was quantitative analytic with cross sectional design and used primary data from the results of filling out the questionnaire and observation with the Denver II. Its analysis with  univariate, bivariate, and multivariate of 124 children and their mothers. Sampling was done using a non-probability sampling technique which using a quota sample. The results of univariate analysis showed that most respondents had normal gross motor development (74.2%), suspected fine motor development (55.6%), equal between male and female (50%), have never been exposed to infectious diseases (72.6%), father's and mother’s education is high (61.3% and 71%), mother's knowledge of nutrition was good (55.6%), mothers were unworking (74.2%), and family income was low (54.8%). Bivariate analysis with chi-square test showed gross motor development related to infectious diseases, father's education, mother's knowledge about nutrition, and family income status. And fine motor development related to father's education, mother's knowledge about nutrition, and family income status. Determinant variables in multivariate analysis of gross motor development were sex, infection disease, father's education, mother's knowledge about nutrition, family income status, and infectious disease with knowledge about nutrition. While the most dominant variable of it was infectious disease with mother's knowledge about nutrition. The other hand, determinant variables in fine motor development were father's and mother's education, mother's knowledge about nutrition, working mother, and family income status. While the most dominant variable was mother's knowledge about nutrition. Mother’s knowledge most important aspect to increase children development.