Reviewerly/exHarmony huggingface dataset:
A STUDY ON IMAGE NOISE AND VARIOUS IMAGE DENOISING TECHNIQUES

Nowadays processing of the image is an emerging science. The image is contributed in several research fields such as biomedical, security, education, and space. The phenomenon of corruption in the images due to the noise is a big obstacle. The main two reasons for appearing the noise are transmission process from place to place or it may happen during the acquisition process. On the other hand, there are a lot of techniques for removing the noise and retrieving the image quality by manipulating the image data. In this article, a brief study on the major noise types is introduced. Also, the study consists of the famous de-noising techniques especially, the two essential methods spatial domain and transform domain with its subparts.
Keefektifan Strategi 3M (Meniru, Mengolah, dan Mengembangkan) dalam Pembelajaran Menulis Teks Eksplanasi pada Siswa

Abstract. This study aims to (1) describe the results of learning to write explanatory texts using expository strategies in the control class; (2) describe the results of learning to write explanatory texts using the 3M strategy in the experimental class; and (3) testing the effectiveness of the 3M strategy in writing explanatory texts. This type of research is experimental research. The research design used was pretest-posttest control grub design. The data in this study are student learning outcomes data. The research instrument consisted of research guidelines for writing explanatory texts. Data collection techniques were carried out through observation, pretest, treatment and posttest. Data analysis techniques used in analyzing the data are descriptive analysis and inferential analysis.  The results of the study reveal student learning outcomes in the control class using expository strategies, student learning outcomes in the experimental class using the 3M strategy, and the effectiveness of the 3M strategy in learning to write explanatory texts. (1) In the control class, the results obtained by students on the pretest (pretest) were categorized as less effective. Only one student scored in the effective category and five students scored in the moderately effective category out of a total of 26 students, the average score on this test was 62.15. Meanwhile, the results of the final test (posttest) are still categorized as less effective. Only one student scored in the effective category and six students in the moderately effective category out of a total of 26 students, with an average score of 65.59. (2) In the Experiment class, the results obtained by students in the initial test (pretest) were categorized as less effective. Only one student scored in the effective category and five students scored in the moderately effective category out of a total of 26 students, the average score on this test is 63.03. Meanwhile, the results of the final test (posttest) after the 3M strategy was implemented were categorized as quite effective. Of the 26 students who took part, as many as 24 students were categorized as quite effective, while 2 students were categorized as less effective. Keywords: Explanatory Texts, 3M Strategy, Writing Skill
Cloud Data Security System with Efficient and Reliable Multi-Key Management using Fully Homomorphic Encryption and AES Techniques

Due to demand of large volume of data processing in enterprises, huge amount of data are generated and dispersed on internet around the world.  Cloud Computing is a flexible, cost-effective, and proven delivery platform for enterprise that has been more and more accepted by enterprises and it can take advantage of low cost, fast deployment and elastic scaling. Contrariwise, cloud Computing presents an added level of risk because essential services are often outsourced to a third party that makes it harder to maintain data security and privacy. This research propose a combination of AES key and homomorphic encryption to perform high speed encryption and statistical analysis on cloud services even on devices with limited computational resources. The proposed method allows users to store data safely and efficiently in the Cloud. It solves the problem of handling large size of data and security issues using encryption system.
AI &amp; Interoperable Simulation for Pandemics and Crisis Management

The adoption of Strategic Engineering as combined use of Artificial Intelligence, Simulation and Data Analytics to support decision making has a great potential in dealing with Pandemics due to their complexity and the impact of VUCA (Volatility, Uncertainty, Complexity & Ambiguity) on them.From this point of view using advanced paradigms such as MS2G and adopting interoperability standards is a major enabler to guarantee their effectiveness in dealing with these problems; this paper represents an introductory work on a joint research devoted to finalize experimentation and test to develop this new capability within Research Centers for supporting the Society during pandemics
Management of the Teaching Process in Higher Education in COVID-19 Pandemic: Socio-Cultural and Economic Aspects

Purpose: Due to the COVID-19 pandemic outbreak and an increasing share of technology, there has been a shift to online higher education.It was considered justified to know the assessment of the quality of teaching in changing conditions, particularly the influence of the human factor and technology.The research aimed to identify the most important factors determining students' expectations of the teaching process during the COVID-19 pandemic.Approach/Methodology/Design: The study was based on the classical experimental design.The empirical material was collected using online surveys (Computer-Assisted Web Interview).Data were statistically analyzed using factor analysis and the test of the homogeneity of variance.Findings: The students found the most critical determinants of the learning process related to the lecturer and then to the technology, confirmed by the model using factor analysis.Data analysis also shows that there are differences in the assessment between blended and online students.Practical Implications: Managing the teaching process requires mindfulness and adaptation to dynamic changes, as well as investment in lecturers' skills and solutions used in an international environment.The results may be useful for the implementation of systemic solutions in higher education in times of social isolation.
Tetun Language Plagiarism Detection With Text Mining Approach Using N-gram and Jaccard Similarity Coefficient

The objective of this research is to develop Tetun language detection plagiarism application with the Text Mining approach that performs Tokenizing and Filtering that use to extract and select a word list from the title of the thesis that is submitted by the students. The n-grams and Jaccard Similarity Coefficient methods are used to retrieve the letter characters in the document to be matched and calculate what percentage of the similarities in the processed thesis title. The dataset used in this study was obtained from the Dili Institute of Technology (DIT) Library with a total of 1000. The word dictionary used consists of 2.560 Word Lists and 8.972 Stop Words that were obtained from the Language Centre of DIT. The result of experiment shows that the performance detection plagiarism obtained the highest precision and recall is 0.90 and 0.94
Performance Modeling of Classification Techniques on Movie Sentiments

The sentiment-based social media represents a goldmine approach for analyzing the performance of the products, hotels, movies, politics, etc. Large opinions of the people are found over movie comments that are honest, informative, and casual as compared to the formal type of data-survey modeling using magazines or reports. The work proposed is based on the rating of movies. This paper analyzes the performance of classifiers for the prediction of sentiment class i.e., positive and negative by using artificial neural network, k-nearest neighbor and hybrid approach. The success of these classification techniques depends mainly on the appropriate extraction of the set of characteristics used to detect sentiments. Hybrid of two or more classifiers is mainly used to enhance the results. In the proposed experiment Hybrid of ANN and KNN shows improvement in precision and accuracy than other classifiers.
Measuring guitar top plate resonances at stages of fabrication

This project investigates how the shape, quality, and boundary conditions of an object affect its normal modes of vibration. Here we report the results of electronic speckle pattern interferometry (ESPI) measurements on several potential guitar top plates in moving from a solid rectangle shape to the final top plate shape with a sound hole and bracing. The measured nodal patterns were similar for two distinct top plates as they were cut and sanded into final form. The measured frequencies of each normal mode were similar with typical variations of less than 10%. The experimental data was compared to theoretical data modeled in COMSOL to test the accuracy of the input parameters characterizing the wood. We found that the model results agree with the experimental data well at low frequencies, but the accuracy of the model decreases when higher frequency modes are considered.
A Study on correlation of subjects on electrical engineering course using artificial neural network (ANN) / Fathiah Zakaria … [et al.]

This paper presents a study of correlation between subjects of Diploma in Electrical Engineering (Electronics/Power) at Universiti Teknologi MARA(UiTM) Cawangan Terengganu using Artificial Neural Network (ANN). The analysis was done to see the effect of mathematical subjects (Pre-calculus and Calculus 1) and core subject (Electric Circuit 1) on Electronics 1. Electronics 1 is found to be a core subject with the history of high failure rate percentage (more than 25%) in previous semesters. This research has been conducted on current final semester students (Semester 5). Seven (7) models of ANN are developed to observe the correlation between the subjects. In order to develop an ANN model, ANN design and parameters need to be chosen to find the best model. In this study, historical data from students’ database were used for training and testing purpose. Total number of datasets used are 58 sets. 70% of the datasets are used for training process and 30% of the datasets are used for testing process. The Regression Coefficient, (R) values from the developed models was observed and analyzed to see the effect of the subject on the performance of students. It can be proven that Electric Circuit 1 has significant correlation with the Electronics 1 subject respected to the highest R value obtained (0.8100). The result obtained proves that student’s understanding on Electric Circuit 1 subject (taken during semester 2) has direct impact on the performance of students on Electronics 1 subject (taken during semester 3). Hence, early preventive measures could be taken by the respective parties.
Kajian Bibliometrik tentang Pembelajaran Menulis dalam Pendidikan Bahasa Tahun 2011-2020

In language learning, there are four skills that must be mastered, including writing, reading, speaking, and listening. Writing skills has a great influence on the quality of an individual's language. This study aims to examine writing learning in language education using bibliometric analysis.  This study examines journal articles that have been published and Scopus indexed. The range of years used in this bibliometric study is ten years with a period of 2011-2020. The results of the bibliometric analysis contained five findings, such as: (1) development publications that each year have an increase and decrease, with the number of publications the most was in 2019; (2) the most dominating and possessing keywords the biggest link with other keywords is writing; (3) the title terms that have the greatest relevance are: writing, writing instruction, and pedagogy.
attesa nella neuropsicologia: uno sguardo ai processi cognitivi sottostanti nell’era delle nuove tecnologie

The scientific literature has pointed out the great adaptive capacities of the brain. Our central nervous system can in fact reshape its synapses and conformation in response to the different environmental stimuli. In particular, some research focus on changes in the development of certain cognitive abilities related to waiting, such as attentional processes and reward mechanisms. The results made it possible to detect some changes in the efficiency of these skills associated with a greater use of technological devices such as smartphones. However, the results need to be analyzed in the light of some structural limitations of the studies such as the lack of time necessary for a prospective observation and the analysis methods used.
Application of the Professional Psychological Quest in the Professional Training of Police Officers

The results of the analysis of foreign and domestic approaches to the interpretation and understanding of quest technologies are presented. It is noted that in order to create the proper conditions for the formation of future police officers professional competence, motivational focus on positive personal changes and the desire for professional self-development, it is advisable to use the possibilities of innovative teaching technologies, in particular, trainings and quests. During such classes, participants have the opportunity to learn how to quickly make the right decisions within the limits of their professional competence, applying the obtained theoretical knowledge, as well as to master and consolidate the necessary skills. The educational quest is highlighted as a separate form of design technologies. The features of the developed professional-psychological police quest with elements of the training "Features of the district police officer’s activities" are revealed, its consistent stages are characterized: organizational and preparatory, implementation and final. It is noted that the basis of the police quest is the situational method, the content of which is aimed at mastering the algorithm of actions by the cadets associated with the implementation of the service tasks of the police. It has been revealed that the use of a professional-psychological police quest is an active form of group work and provides the use of set measures aimed at increasing the level of professional training of police officers, developing and changing the structure of interpersonal relations, educational and professional motivation, and contributes to the self-realization of the individual within the professional space. The authors emphasize the advisability of using a police quest, which contributes to the increase of professional competence level due to the increase of the study time amount allocated for practical work, the independent acquisition and use of new knowledge and skills in practice, making the right decisions within the framework of their professional competence, and well-coordinated teamwork.
Comparative Study of Justification Methods in Recommender Systems: Example of Information Access Assistance Service (IAAS)

Justification of recommendations increases trust between users and the system but also generates more relevant recommendations than recommendation systems that do not incorporate it. That is why, we conducted a justification study of the recommendation for IAAS. Our comparative study shows that IAAS, which currently does not offer the opportunity to justify recommendations, needs to be improved. From the analysis of justification methods studied in this work, it appears that none of these methods can be used effectively in IAAS. That is why, we proposed a new IAAS architecture that deals separately with item classification and the extraction of the justification has added the item during recommendation generation. The item selection method remains unchanged as we plan to implement a new strategy to filter user’s reviews should now be extended to four elements: the documentary unit, the group of users, the justification and the weight. Opinion A=(UD,G,J,a). Where UD represents the documentary unit, G the user group, J is the justification and a is the weight of the recommendation.
Pengembangan Media Pembelajaran Pop-Up Book Untuk Meningkatkan Keterampilan Menulis Puisi Siswa Kelas IV SDN Bongas Wetan II Kabupaten Majalengka

This study found that teaching implementers tend to only use the lecture method and cause students difficulties in learning. The lack of learning resources helps students facilitate their understanding resulting in low student learning outcomes in poetry writing skills. This goal is to improve the poetry writing skills of fourth graders at SDN Bongas Wetan II. This research method uses Desain and Development (DnD). Data was collected by means of interviews, observation sheets, tests, validation of media experts and student response questionnaires. The results of this study are sometimes the media is only used when the level of difficulty of the material to be taught. Pop-Up Book media design using duplex paper. For the assessment of learning media validation is 90.66%. The end of the material validation is 90.66%. Student response to learning media 96%. This means that the Pop-Up Book learning media is very feasible to use.
Impact of Workplace Ostracism on Employee Outcomes Mediated by Empowerment Structure and Moderated by Restructuring of Working Culture in Healthcare Sector

The purpose of this study is to examine the impact of workplace ostracism on employee outcomes mediated by empowerment structure and moderated by restructuring of working culture in healthcare sector. Data was collected through questionnaires which were distributed in Pakistani hospitals. Total 465 questionnaires were distributed and 450 returned. Data was gathered from one source which was nurses of Pakistani hospitals. Findings of this study showed that workplace ostracism has an impact on employee outcomes. Findings of this study showed that workplace ostracism has an impact of empowerment structure. Empowerment structures also have signiﬁcant impact on employee outcomes. Workplace ostracism in organization showed a high ostracism which results in negative behavior of employees which shows employee outcomes. Results of study also showed that workplace ostracism has a relationship with employee outcomes through mediation effect empowerment structure. Findings of study also show that empowerment structure acts as a mediator between the workplace ostracism and employee outcomes in organization. Results of study also showed that restructuring of working culture was moderating relation between employee outcomes and empowerment structure and restructuring the working culture decline relationship.
Efektivitas Penggunaan Model Make A Match Dan Model Talking Stick Terhadap Kemampuan Membaca Pemahaman Dalam Pembelajaran Bahasa Indonesia Siswa Kelas III Sdn Plumbon 1

The question in this study is the low interest of students in reading which is marked by the low ability to read comprehension in students. The purpose of this study was to describe the use of learning models to make a match and the learning model of talking sticks effective on the ability to read comprehension in Indonesian language learning grade III SDN Plumbon 1. This research is a quantitative study. This research was conducted at Plumbon 1 Elementary School in class 3 of 2018/2019 school year. The research sample used was class III The data analysis technique used was the normality test and homogeneity test using the formula t. He results showed that the results of reading comprehension skills taught with the make a match model and the talking stick learning model were higher than the results of reading2comprehension skills with conventional models. Statistical test results show the results of students' reading comprehension ability with make a match learning model is pretest at 65.1 and posttest at 80.6 while student learning outcomes using conventional models are pretest at 58.6 and posttest at 73.6. On the results of reading comprehension, students' reading comprehension with talking stick learning model is pretest at 65.2 and posttest at 81.1 while student learning outcomes using conventional models are pretest at 58.6 and posttest at 73.6. mossel learning to make a match was obtained t_count> t_table which was 4.451> 1.671 while in the talking stick learning model t_count> ttable was 4.425> 1.671 with a significant level of 95% and α = 0.05. This means that the hypothesis in this study was accepted and it was stated that the make a match learning model and the talking stick learning model were effective against reading comprehension skills in Indonesian language learning for third grade students of Plumbon 1 Elementary School.
PENGARUH SISTEM INFORMASI TERHADAP EFEKTIFITAS PENGAMBILAN KEPUTUSAN DI POLITEKNIK PRAKTISI BANDUNG

Information systems in college become one of the supporting factors in each of its activities. Decision making is a routine activity in an organization, especially in tertiary institutions. The effectiveness of decision making is crucial for college performance. In this study, the authors wish to examine the effect of information systems on the effectiveness of decision making in one of college, Politeknik Praktisi Bandung. Research with a quantitative analysis approach using descriptive statistical formulas and inferential statistics.
EFEKTIVITAS APLIKASI UAS ONLINE DALAM MENJAGA MUTU PERKULIAHAN DI MASA PENDEMI COVID-19

The presence of Covid-19 causes all elements to change their habits. Especially by government regulations which require working from home, studying from home, and worshipping from home. Final Semester Examina-tion (UAS) is a way to evaluate the level of understanding of students. It must be administered correctly and with good quality. You cannot be careless. The development of technology to ensure the quality and independence of UAS trips that has been carried out. The research aims to see the effectiveness of the online UAS application in maintaining the quality of lectures during the Covid-19 epidemic. To see whether the application is built by function, suitability, usability, reliability, performance efficiency, and ease of maintenance. The online UAS application is built using a website-based programming language and a server-based database. The method in this study uses R&amp;D. The research variables of the Politeknik Unggul LP3M Students were 29 students. The UAS application built made it more accessible and improved the quality of lectures during the Covid-19 pandemic. The UAS application that was built has three user authorizations, including admins, lecturers, and students. By the test results, the UAS application is said to meet the eligibility. Among them, the application test score is 85.33% (Very Appropriate), and the Cronbach Alpha value is 0.87 (Excellent).