Reviewerly/exHarmony huggingface dataset:
PENGARUH STRATEGI PEMBELAJARAN SIMULASI SOSIAL TERHADAP KECERDASAN SOSIAL DAN BERBICARA ANAK USIA DINI DI RA ANISAH

This research is based on the problem of the still low social and speaking intelligence of children in RA Anisah. In general, the root of this problem is does the social simulation learning strategy affect the social intelligence and speaking of early childhood in RA Anisah?. The formulation is as follows: (1) How is the condition of social intelligence and speaking at early childhood before the social simulation learning strategy is implemented in RA Anisah? (2) How is the influence of social simulation learning strategies on early childhood social intelligence and speaking in RA Anisah? (3) To what extent is the influence of social simulation learning strategies on early childhood social intelligence and speaking in RA Anisah? then (4) What are the obstacles experienced by the teacher in implementing social simulation learning strategies? The goal to be achieved is to obtain an overview of the effect of social simulation learning strategies on children's social intelligence and speaking in RA Anisah. The research method used is Classroom Action Research (CAR) to improve the learning process so that it can improve social intelligence and early childhood speech. The CAR was carried out in three cycles, with the subjects of group B children in Sakura RA Anisah's class totaling fourteen children. From the results of the implementation and observations made, there was a considerable influence, especially in cycle 2 (two). It is recommended for teachers to develop children's social intelligence and speaking skills in learning and implementing and evaluating learning. As for future researchers, it is hoped that they can make research on children's social intelligence and talk through other strategies.
Cloud Computing Architecture

Cloud computing—delivering infrastructure, services, and software on demand via the network—offers attractive advantages to the public sector. It has the potential to reduce information and communications technology (ICT) costs by virtualizing capital assets like disk storage and processing cycles into a readily available, affordable operating expense. Unfortunately, architects more often than not assume that simply adding another server into the mix can fix any performance problem and security issues. Cloud is a platform shuffle that enables a fierce and contentious debate on the issues of security and performance surrounding how to secure information and instantiate trust in an increasingly open and assumed-hostile web operating environment. When you start adding new hardware/update existing hardware in a web cloud, the complexity starts increasing which affects performance and hence security. Here we will define the algorithms to keep both performance and data secure but flexible enough to allow for expandability. In this paper, we have highlighted the following critical issues for the leading Cloud Computing such as Characteristics of cloud computing, threats and performance analysis. This paper specifically discuss about the below-mentioned in detail.
Sistem Pendukung Keputusan Untuk Menentukan Objek Wisata di Kabupaten Banyuwangi Berbasis Fuzzy Model Tahani

Banyuwangi is one of the regencies in East Java Province which has a potential tourist destination that can captivate tourists to travel in Banyuwangi regency. But things that often happen, they are many potential tourists still confused in determining the tourism object that will be visited according tourism object criteria which have been specified. Therefore, we need a decision support system that can make it easier for potential tourists to determine the tourism object that will be visited according potential tourists criteria. Fuzzy Logic using Tahani’s Model is a method that can be used as a solution to make decisions in determining the tourism object that will be visited according to the criteria. This method evaluates several alternatives against a set of attributes or criteria. The criteria used are fuzzy variables which consists of four variables, they are tourist ticket prices, tourism object distance from the downtown, tourist lodging prices, and the number tourist visitors. The fuzzy variables are used to perform tourism object data searches that will be visited according the input criteria values based on the firestrength acquisition a tourism object value. The highest firestrength value acquisition of a tourism object can be used as the best suggestion for determining a tourism object that will be visited according to predetermined criteria. Testing results of decision support system to determine the tourism object that will be visited using Fuzzy Tahani has resulted 85,714% for success accuracy system values, and has a value 14,286% for mismatches data or error system values. The success accuracy system which has a value 85,714% can be categorized as a decision support system which can be used to make a decision in determining a tourism object that will be visited according the expectations or by the potential tourists criteria.
Development of an algorithm to protect user communication devices against data leaks

In order to identify ways used to collect data from user communication devices, an analysis of the interaction between DNS customers and the Internet name domain space has been carried out. It has been established that the communication device's DNS traffic is logged by the DNS servers of the provider, which poses a threat to the privacy of users. A comprehensive algorithm of protection against the collection of user data, consisting of two modules, has been developed and tested. The first module makes it possible to redirect the communication device's DNS traffic through DNS proxy servers with a predefined anonymity class based on the proposed multitest. To ensure a smooth and sustainable connection, the module automatically connects to a DNS proxy server that has minimal response time from those available in the compiled list. The second module blocks the acquisition of data collected by the developers of the software installed on the user's communication device, as well as by specialized Internet services owned by IT companies. The proposed algorithm makes it possible for users to choose their preferred level of privacy when communicating with the Internet space, thereby providing them with a choice of privacy level and, as a result, limiting the possibility of information manipulation over their owners. The DNS traffic of various fixed and mobile communication devices has been audited. The analysis of DNS traffic has enabled to identify and structure the DNS requests responsible for collecting data from users by the Internet services owned by IT companies. The identified DNS queries have been blocked; it has been experimentally confirmed that the performance of the basic and application software on communication devices was not compromised.
IMPLEMENTASI SISTEM INFORMASI KOPERASI SIMPAN PINJAM BERBASIS WEBSITE PADA KOPERASI DESA KAIBON IMPLEMENTATION OF A WEBSITE BASED COOPERATIVE INFORMATION SYSTEM IN KAIBON VILLAGE COOPERATIVE

This study aims to build a website-based savings and loan cooperative information system. Using this cooperative information system will facilitate data processing, data search, report generation, and access to information online. The research approach or model used is the SDLC waterfall model. The waterfall SDLC model is usually said to be a linear sequential model. The waterfall model provides a sequential or sequential software flowchart approach starting from the analysis, design, programming, testing, and supporting stages. The results of this study are a website-based savings and loan cooperative information system in the kaibon village cooperative.
The use of adaptive project management practices and methodologies in the development of a professional doctoral program

Purpose – Higher education institutions have used more and more project management tools to run development projects to create new professional postgraduate programs. The purpose of this research was to propose an adaptive project management model for creating a professional doctoral course in Business Administration, in order to fulfill the goals established by CAPES.Design/methodology/approach – For such, the qualitative approach was favored with the adoption of the single case study method. Semi-structured interviews were conducted with academic coordinators who are experts in the field in addition to the gathering of documents, thus using data triangulation to explore the phenomenon. The analysis of primary data and the analysis of documents from the Coordinating Agency for Advanced Training of Graduate Personnel (CAPES) served as inputs for analyzing and interpreting the results.Findings – As a result, we developed an adaptive project management model with the following characteristics: a) constant planning of activities, occurring in every cycle of interactions; b) iteration using short activities, allowing for more control of the project; c) validations performed continuously to ensure the goals proposed by CAPES are reached; and d) adaptable to change of scope during the execution phase of the project life cycle.Research limitations/implications – Among the limitations of the study is the lack of other studies related to the use of adaptive project management methodologies for developing postgraduate programs. And for future researches, we point out the need for applying the proposed model, to verify its efficacy and adherence to the development of a professional doctoral course.Originality/value – This study contributes to the academy by highlighting the need for project management as a tool and technique for the development of stricto sensu professional graduate programs. In this way, HEIs will be able to use a model of adaptive project management practices to achieve the objectives proposed by the CAPES evaluation process. As a result, HEIs are strengthened in the management, control and monitoring of the progress of their programs.
Research on Internet Finance and Innovation of Financing Mode for Small and Micro Enterprises Based on Big Data

As a worldwide problem, the finance difficulties of small and micro enterprises have always been concerned by the academic and practical circles. With the emergence of Internet finance, the finance path of small and micro enterprises has become very open, and Internet financing gradually turn into a new mode of financing for small and micro enterprises. Internet finance, as a new finance model for small and micro enterprises, has opened up a new way to alleviate the financing difficulties that have been plaguing small and micro enterprises by virtue of its “big data” advantage. Internet finance is little by little turn into a new financing channel for small and micro enterprises, and it is of far-reaching significance to the innovation of financing mode for small and micro enterprises. This paper introduces the financing mode of small and micro enterprises under the background of Internet finance based on big data platform, analyzes the financing difficulties of small and micro enterprises in traditional financial circumstances, and discusses the financing innovation strategy of small and micro enterprises under Internet finance in view of big data platform.
Determinants of Hotel Guest’s Memorable Experience: a Mixed-method Approach

Today’s hotel business environment is changing rapidly. The value created from experience is emphasized, and this experiential value is regarded as a key variable that positively affects the performance of a company. The importance of this customer experience is a critical marketing variable that is still being emphasized until now, but relatively recently, the customer experience has been redefined in terms of memory by several researchers. In this context, studies on memorable tourism experiences in various contexts have been actively conducted in the tourism field. However, there is relatively little research on memorable experiences in the hospitality and hotel fields. Therefore, this study attempts to investigate the formation process and role of hotel guests' memorable experiences in the hotel context based on memory-dominant logic (MDL). To achieve the purpose of this study, this study applied mixed-method approach. From the structural model analysis results, this study confirmed that the traditional hotel experience directly affects the memorable experience, but the tech-based hotel experience indirectly affects the customer delight. In addition, it was confirmed that people with high experience with AI technology feel stronger customer delight through AI technology than those who do not. These results correspond to the fsQCA results. From the fsQCA analysis results, this study showed that traditional hotel experience was a key condition for memorable experience, independent of the degree of experience with AI technology. In addition, in forming a memorable experience, in the group with high experience in AI technology, playfulness through AI technology appeared as a core condition. On the other hand, in the group with low experience in AI technology, positive interaction with human employees appeared as a key condition. Based on these findings, this study has theoretical implications in that it broadens the understanding of the customer experience in the hotel field and specifically examines the perception of hotel guests about AI technology that is actively used in the hotel field. In addition, this study has practical implications in that it presents specific guidelines for memorable experiences that have a positive effect on hotel business performance.
Comparison of Differencing Parameter Estimation Using Spectral Regression for Short Memory Data (Simulation Study)

One of the most common methods used for the estimation of differentiating parameters inthe Long Memory model is spectral regression. The spectral density function of the Long Memory Model isformed into a simple linear regression equation to estimate the parameter d by the least-squares method.This approach has drawn many researchers ' attention because it can solve the problems of reducing theautocovariance function of the Long Memory system. Parameter estimation d by the regression method canbe done directly without knowing the parameters p and q beforehand. This method was first proposed byGeweke and Porter-Hudak (1983) and modified by Reisen (1994) using smooth Periodogramby the ParzenWindow. Then, Robinson (1995) added Trimming l to the Periodogram. Hurvich and Ray (1995) andVelasco (1999a) added the Cosine-Bell taper to the Periodogram, Velasco (1999b) replaced the independentvariable to j, which is the index of the Periodogram. In this study, the accuracy of these methods will becompared to the short memory data (ARIMA) by using a simulation study. In this study, the simulationstudy results show the Geweke and Porter-Hudak (GPH) and Reisen (SPR) methods provide relativelyaccurate results in estimating the parameters d of the long memory model, even for short memory data. Theresults of the comparison show that the GPH and SPR methods are better than the other methods based onthe estimated values of the true value of d (generated) and based on the resulting deviation of thedifferentiating coefficient (d).
Factors Influencing Employees' Intention to Leave Job

The purpose of this study was to investigate the factors affecting to employees' intention to quit job in private universities in Kabul, Afghanistan. For the purpose of the study, job satisfaction, job stress, person organization fit and organizational commitment were considered as the independent variables while the intention to leave was considered as the dependent variable. The sample was 70 randomly selected employees of private universities in Kabul, Afghanistan. A questionnaire was distributed among them to collect the data. The hypotheses were tested using correlation and regression analysis. The results explained that job satisfaction, person organization fit and organizational commitment of employees at private universities were significantly and negatively correlated with their turnover intention. This study recommended managers to improve job satisfaction, person organization fit and organizational commitment of employees to reduce their turnover intention. On the other hand, job stress in positively correlated with intention to leave job suggesting to reduce job stress in order to reduce employee turnover.
Continuous Rationale Management Using the ConDec Tools

We summarize the paper Continuous Management of Requirement Decisions Using the ConDec Tools, which we presented at the 26th International Working Conference on Requirements Engineering (REFSQ2020). We summarize ConDec’s features and a usage scenario. In addition, the REFSQ paper provides an overview of the views, the architecture, and it sketches evaluation efforts.
MISTANÁSIA DO AGORA: PANDEMIA DA COVID-19NO BRASIL E SEUS REFLEXOS DIANTE DA DIGNIDADE DA PESSOA HUMANA.

The present work originated from the current problem of the COVID-19 pandemic.The objective is to present mysthanasia, institute of bioethics, and its importance in times of health crisis.Mysthanasia, a concept used in social bioethics, means unfortunate, miserable death.In this context, the following problem arises: does the pandemic constitute mysthanasia?The study used the criterion on mystinasia raised by Leo Pessini.To achieve the proposed goal, the methodology used was based on qualitative research and bibliographic research technique.It started from the dissemination of official news and data, relating the concept of mystifying in concrete situations.The result shows that most people are losing their lives in an undignified manner, without the assistance needed.It was found that this scenario corresponds to mysthanasia deat.
Bitcoin Returns and the Frequency of Daily Abnormal Returns

This paper investigates the relationship between Bitcoin returns and the frequency of daily abnormal returns over the period from June 2013 to February 2020 using a number of regression techniques and model specifications including standard OLS, weighted least squares (WLS), ARMA and ARMAX models, quantile regressions, Logit and Probit regressions, piecewise linear regressions, and non-linear regressions. Both the in sample and out-of-sample performance of the various models are compared by means of appropriate selection criteria and statistical tests. These suggest that, on the whole, the piecewise linear models are the best, but in terms of forecasting accuracy they are outperformed by a model that combines the top five to produce “consensus” forecasts. The finding that there exist price patterns that can be exploited to predict future price movements and design profitable trading strategies is of interest both to academics (since it represents evidence against the EMH) and to practitioners (who can use this information for their investment decisions).
IMPLEMENTATION OF GUIDED READING PROCEDURE (GRP) IN IMPROVING READING COMPREHENSION

ABSTRACT&#x0D; This research aims to explain the implementation of GRP in improving students’ ability in reading comprehension and to describe students’ respond when a teacher implements GRP in teaching reading comprehension. The study belongs to collaborative classroom action research design in which the researcher and collaborator worked together. The subjects of this research were all of the students of VIII/D of MTsN Dewantara. This resaerch was conducted in two cycles by following the procedure of the action research. It began with the preliminary, planning, implementing and reflecting. The researcher used some instruments such as observation checklist, field notes, and test for students in learning of reading comprehension to collect the data. In analyzing the data, the researcher used the descpriptive qualitative meansrument to find out the result. To analyze the data, total score of the students divided with total number of the students, and got the average score of class. The activity of analyzing data done through three steps, namely: data reduction, data display, data conclusion/ verification. First cycle, there were three meetings, as the result the students got 68,8 in first cycle. Second cycle, there were three meetings, as the result students got 73,8. It means, that the students show their improvement in reading comprehension skill. The research result also indicated that the students have good response and motivation and GRP implementation improves students’ reading comprehension ability.
Occasional Perturbations in the Scholarly Publishing Realm.

Scientific publications are an important medium for conveying new developments and important breakthroughs. As shown in the items that appear below, the realm in which periodicals operate also may be subjected to steady bouts of alteration.
Getting to Know about Readability Level

English is a language that is still difficult to conquer, especially with its status as a foreign language. Not only is it difficult in terms of pronunciation, but also most Indonesians still have difficulty understanding the English translation text that has been translated into Indonesian. This study will explain the level of readability of a reading text. The level of readability greatly affects how a text can be understood by readers who come from the target language. There are 3 (three) readability levels: high, medium, and low readability. In addition, there are several things that affect the readability of a translated text, such as the use of new words, idioms, and taxa sentences. Translating a word or a reading text not only requires knowledge of translation techniques but also the translator's competence and understanding of the context of the text to be translated.
A CNN Denoiser using Image Restoration

The objective of image reclamation is to remake the first picture that has been corrupted.Unlike image restoration is an object process rather than a subjective process.That is optimizing the goodness criteria rather than the subjective process . We model the degradation by a process and add some random noises .We train the images according to the model. Using the images with motion blur and noises and uses Mathematical approach to the process .The paper mainly compares with Half quadratic splitting method which leads the image restoration recently. Using PDE method the result were shown. It is the point of this proposed strategy to introduce some traditional PDE-based strategies for rebuilding, attempting to follow as per the pattern in which where they showed up in the writing. The images used were trained with CNN. At the end the result is tremendously surprising. The blur the noises were removed immensely. The algorithm shows the result as the comparison between the original and noise and blur removed image. Compared to the contemporaneous algorithms new proposed algorithm is very effective.
Nutritional challenges in older adults during the COVID-19 pandemic/ Desafios nutricionais na saúde de idosos em tempos de pandemia da COVID-19

ABSTRACT It has been documented that the older adults of the population are at the greatest risk of mortality due to the coronavirus disease; consequently, they could be the population most affected by the measures of social isolation and reduction of virus contagion implemented worldwide. Social isolation can expose older adults to an increased nutritional risk due to factors such as socioeconomic insecurity, which could affect food acquisition and the need for support in daily tasks and meals. The institutionalized older adults often depend on food donations, which may have reduced due the economic crisis caused by the pandemic, and the aging process itself causes changes in nutritional necessitie and eating habits. In the coronavirus pandemic, nutritionists and dietitians can offer remote nutritional follow-up. Moreover, the government actions, such as the implementation of educational and social service programs, should be applied to support healthy aging and minimize exposure to nutritional risks and coronavirus disease.