Reviewerly/exHarmony huggingface dataset:
Children’s Early Reading in Information Age

Many media and information channels have brought us new ideas and new understandings in the information age. However what information is useful to us, which requires us to have efficient reading ability. Can children read before 6 years old? Perhaps we still have a lot of doubts about it.
Developing Flashcard to Teach Students' Integrated Listening and Speaking Skills for Seventh Grader

This study is aimed to help students in learning integrated listening-speaking skills by developing flash card as teaching media. It is found that they are not supported by appropriate media and causes their motivation and competence seem to be stagnant. It is also found that there are some weaknesses on the old media. Start from the design that is not up to date and seems not so interesting fro the students. Then the materials of the media that are assumed as fragile because it is made of paper. The size of the media that is seen as too small and the procedure of the use that sometimes made teachers find difficulties to use it. Regarding to those findings, this research goes further to design the new media in order to solve those problems. This research adopted Research and Development (R&D) with ADDIE model. After implementation, it is found that the product has development and some strength that can be beneficial for the users.
Moving Objects Detection Based on Frequency Domain

In this research a proposed technique is used to enhance the frame difference technique performance for extracting moving objects in video file. One of the most effective factors in performance dropping is noise existence, which may cause incorrect moving objects identification. Therefore it was necessary to find a way to diminish this noise effect. Traditional Average and Median spatial filters can be used to handle such situations. But here in this work the focus is on utilizing spectral domain through using Fourier and Wavelet transformations in order to decrease this noise effect. Experiments and statistical features (Entropy, Standard deviation) proved that these transformations can stand to overcome such problems in an elegant way.
The Utilization of Smart Price Application Based Android

The increasing purchasing power of consumers in purchasing products at large stores nowadays often displays only samples of goods. So that customers often feel confused to see in detail the form of goods to be purchased, so that customers often feel confused and seek employees to ask questions about the details of the item to be purchased. The main objective of this research is to create, design and build a front end database server that is useful for consumers in increasing customer convenience in shopping at the mini-market retail business. The use of the application that will be made is in the form of a barcode scanning feature wherein each individual there is information in the form of item details such as id, name, dimensions, quantity, colour, price, and images of goods obtained from the scanned items that have been entered into their respective identities description of goods. The app also features a fast checkout feature. The use of this application can be searched using an internet application. It can be accessed wherever the customer is because the cashier programming is directly connected to the web server provided by the supermarket.
Social Media and Law Enforcement Investigations

There are 2.8 billion social media users (Hutchinson 2017); digital crime is rising, and it is time for law enforcement (LE) to take a more active role in digital investigations. People are using social media to showcase their criminal activities whether they know they are committing or have committed a crime to gain “likes”, or to increase their popularity amongst their peers (McGovern, 2016). LE has been hesitant when it comes to the usage of technology for their investigations because of the lack of knowledge and the question of legality when it comes to violating the privacy of an individual. LE should take a step into the electronic technology age and use social media to investigate criminal activity. The usage of social media by LE assists investigators with investigating terrorism plots, witness and suspect identification in violent crimes, and public outreach to become better connected with the public and build trust. There are questionable legalities regarding the usage of social media by LE. They must provide sufficient evidence to obtain a search warrant for the social media sites. It is imperative for LE agencies to embrace the usage of social media for investigations. They must break the barriers of technology for investigators to be successful and for crimes to be solved. They must adapt to new trends and use technology to their advantage. LE will also need to implement a social media policy and standard operating procedure within their agencies. Investigators must be trained to properly use social media platforms to maximize their investigative skills. With new technology coming out every day, LE agencies should utilize social media platforms to their advantage to investigate all crimes.
Fuzzy Inference System In Predicting Unemployment Levels In Batam City

Batam city is known as an industrial city in Indonesia; this can be seen from a large number of Indonesians who come to the Riau Islands to work. The company standards in accepting industrial employees can be seen from various aspects, such as age, education, company, opportunities, and job vacancies. Each of these aspects can be used as a decision-making system in predicting unemployment in Batam City. The method in completing this research is using the Sugeno method by taking the highest score and using the operator and. Sugeno's work steps are four. The first is the determination of the input value, the second is the inference engine, the third is the application of the Implementation function, and the fourth is the definition to get the final value—application for determining job vacancies using Matlab software.
SOFTWARE ENGINEERING PERFORMANCE AND QUALITY ASSESSMENT BY TRIZ

This paper shows the innovative concept of how software engineering activity performance and quality assessment can be done. To be successful in delivering the software services/products, we should have some kind of measurements about the ongoing productivity and the current status. To achieve this, we have used the substance-field model and 76 inventive standard of TRIZ. Also, we have described how to visualize the activities through dashboards by KPIs (Key Performance Indexes) to be able to take some important timely decisions that help deliver the services/products on time. All this was done gathering the complexity of each individual activity and time information from various information sources. In this context, we must insist that there are some specialties that impact software engineering, particularly internet advertisement services. Therefore, we would like to clarify the necessity of having the TRIZ approach in empowering the productivity of our engineers in software engineering for software quality assessment.
Query Method of Web English Education Resources based on Semantic Topic Similarity

In order to solve the problem of imprecise query of Web database for ordinary users in English education resource query, a method of imprecise query in Web Database Based on semantic similarity is proposed. For a given query, this method first finds out one (or several) queries whose similarity is higher than the given relaxation threshold in the query history, and then finds the tuples matching these queries from the database as the result of the imprecise query of the current query. Finally, these query results are sorted according to their satisfaction with the initial query. The experimental results show that the proposed semantic similarity evaluation method has stable performance and reasonable evaluation results, and the imprecise query method has high recall and ranking accuracy. The experimental results provide some reference for the research of Web English education resources query method based on semantic topic similarity.
INTERACTION AND DEVELOPMENT MODEL BY USING INTERNET FOR “DESAKU’ PROGRAM

Abstract: Nowadays global competition in all fields demands the increase of human resources quality, including lecturers and administrative staffs. The output of a university as a higher education will be qualified if both the lecturers even the administrative staff as human resources are truly qualified too. One effort to achieve this is by improving English learning.  The mastery of English will improve the knowledge as the development of science and technology, including education which is currently easily accessible from various sources. Therefore, the interest and implementation of learning English becomes very important for the human resources at Dian Nuswantoro University. Learning English as a foreign language certainly has various methods that can be done to achieve the goal of mastering English. The aim of the research is the development of an active English learning method in the Desaku Project program. The research method was conducted by taking a location at Dian Nuswantoro University. The respondents are 60 (sixty) respondents from five faculties and Bureaus / Units who answered the questionnaires containing a number of questions and explanations of respondents' opinions.
EFEKTIVITAS PENGGUNAAN MEDIA CORONG BERHITUNG DALAM MENINGKATKAN HASIL BELAJAR PESERTA DIDIK PADA POKOK BAHASAN OPERASI BILANGAN DI KELAS III MI AL-MUNAWWARAH

This article deals with “The Effectiveness of Using the Cut-Out Funnel Media on Students' Learning Outcomes on the Subject of Number Operations in Class III MI Al-Munawwarah Kec. Sarjo Kab. Pasangkayu ". The main problem in this thesis is how to effectively use the counting funnel media so that it can improve student learning outcomes on multiplication material in class III MI Al-Munawwarah Sarjo. The purpose of this study was to obtain a description of the effectiveness of using counting funnel media in an effort to improve student learning outcomes on the multiplication material in class III MI Al-Munawwara Sarjo. This type of research is Classroom Action Research (PTK) using qualitative and quantitative approaches. This classroom action research model is a cyclical model consisting of cycle I and cycle II. The subjects of this study consisted of 24 students in class III with data collection techniques including: observation, interviews, field notes, pre-action tests, pre-action tests, and post-action tests. The learning outcomes of students showed that through action in the first cycle there was an increase in the percentage where the first cycle was 54.16% and the second cycle was 95.83% with the percentage difference between the two cycles of 41.67% while learning about the activities of the teacher (researcher) experienced the increase with the percentage acquisition of cycle I is 77.5% and cycle II is 100% so that the selection between the two cycles is 22.5% while the activity of students has increased with the percentage in cycle I, namely 68.75%, cycle II, namely 100% the cycle experienced a difference of 31.25%. Regarding the percentage increase in learning outcomes and the learning process, it shows that the funnel-counting media is effectively used in mathematics multiplication subjects. Thus it can be concluded that the use of counting funnel media is effective as seen from the observations of teacher activity and student activity as well as increased learning outcomes.&#x0D; Keywords : Effectiveness, Cut-Out Funnel Media, learning outcomes
A Context-aware and Geo-based Mobile Application to Automate the Notification of Public Health Issues

Coronavirus disease 2019 (COVID‐19) is causing an ongoing pandemic. Social distancing and quarantine are the few effective methods to reduce the spreading risk of the coronavirus among people. As business starts to open up and quarantine policies become looser, the risk of COVID19 spreading becomes greater [1]. This paper describes the development of a context-aware and geo-based mobile application to automatically track an individual’s surroundings and calculate the exposure risk to a public health issue, such as COVID-19. Our application uses other user’s data and online databases with information on COVID-19 cases to calculate a percentage revealing the user’s possible risk at that location.
Construction of Collaborative Cultivation Mechanism of College Teachers' Craftsmanship

As a gardener who imparts knowledge, teachers have their own professional ethics and professional spirit, which can guide them to better carry out scientific research and education. Therefore, in order to avoid the lack of professional dedication of teachers and the situation of reduced communication with students, so that teachers can participate in teaching with higher enthusiasm, it is necessary to pay attention to the construction of teachers' craftsmanship. Therefore, this article mainly analyzes the positive significance of teachers in colleges and universities with the spirit of craftsmanship, and finds a specific way to cultivate, hoping to stimulate the spirit of teacher craftsmanship and promote the vigorous development of China's education.
The Necessity of Improving Cultural Awareness of EFL Learners in STMIK Handayani Makassar

This paper mainly  discusses the relationship between language and culture.  Languag e and culture are closely related . If one does not understand the cultural backgrounds, he or she cannot learn the target language really well because any language is an integral part of its culture.  Moreover, misunderstanding between the speaker whose first language is English and the speaker whose first language is not English will occur between them.  The writer believes that there is still an important cultural element missing from foreign language education in Indonesian EFL classes in  such as in  STMIK Handayani  Makassar. Therefore, English learning in  STMIK Handayani  Makassar should not only to learn the language, but also to learn its culture. To improve students’ sensitivity for cultural difference between the West and the East and to raise their cultural awareness, English teachers at schools are required  not only to teach language but also to impart cultural background knowledge and further to deal with the relationship between language and culture well. This article starts with the necessity of teaching cultural awareness in English teaching a t schools, and then this paper  will discuss some common  cultural language mistakes by  English Foreign Language learners in  STMIK Handayani  Makassar.
Model of Data mining Clustering Rules on Population Determination of Trade and Accommodation Facilities in Indonesia with K-Means

The research aims to conduct a mapping model in the form of the grouping of residents of trade and accommodation facilities according to regions in Indonesia using data mining techniques. This research is a reference specifically for the role of the government in increasing regional income in Indonesia evenly. The data source is obtained from the government statistical data provider website, namely the Central Statistics Agency (BPS) with the URL address www.bps.go.id. The mapping method used is K-Mens and tested with the Rapid Miner software. There are 3 clusters used in mapping the area to the population of trade and accommodation facilities, namely the high (C1), medium (C2), and low (C3) clusters. The results obtained are cluster C1 centroid data, namely ((1527), (810.4), (5865), (6655.3), (323), (315.1)); cluster C2, namely ((286), (199,591), (1327), (2240,227), (93,227), (140,955)); and cluster C3, namely ((139,25), (122,5), (508,833), (919,222), (64,417), (94,444)). The results of the mapping show that in cluster C3, there are 16 provinces with a low population of trade and accommodation facilities.
TEACHING-21ST CENTURY LEARNING-MEDIA INNOVATION FOR EFL TEACHING AND LEARNING: PRE-SERVICE TEACHERS PERSPECTIVE

Nowadays, EFL teachers are benefited by the abundance of technological resources that enable them to provide learners with sufficient comprehensible input. Yet, not all of them are literate to the available supported devices neither in the form of webs nor other internet applications. Therefore, this study aims at describing a view toward a trend of ICT use as learning resources both in a form of web and internet based applications used by pre-service teachers.This research employed mix-method research by using an open-ended questionnaire and interview with 24 pre-service teachers as participants who study in English department, Lambung Mangkurat University. The finding of this study revealed that even there are several pre-service teachers who encountered problems when using the available applications, nevertheless, most of them have a positive perspective on ICT use in teaching and learning activities. Moreover, it is found that mostly MALL (Mobile Assisted Language Learning) applications have familiar to be used during the learning time especially out of the class rather than CALL applications.
Optimization Frameworks for Fair Data-Driven Decision Making

Author(s): Olfat, Mahbod | Advisor(s): Aswani, Anil J | Abstract: This thesis investigates the problem of fair statistical learning. We argue that critical notions of fairness can be represented by independence constraints on certain random variables, and take the approach of approximating independence by bounding moments. We propose a hierarchical Fair Optimization (FO) framework for generalized fair decision-making, prove desirable statistical properties, and extend the framework to a number of settings, ranging from supervised learning to unsupervised learning and hypothesis testing. Algorithmic decision-making has steadily gained in prominence as more data is produced and computing resources become more abundant. However, it has been observed that these can often reflect, and perpetuate, biases apparent in the training data. To that end, we construct the FO framework as a general approach to statistical decision-making under fairness constraints. The framework revolves around bounding the moments between a ``score function underlying the decision-making process and predefined ``protected attributes. We prove that this framework is consistent and will thus asymptotically provide fair decision rules, and provide non-asymptotic bounds on how quickly the framework approaches truly fair decision-making rules. We also provide experimental results that show the efficacy of the FO hierarchy on a variety of datasets, and use it to construct fair, automated one-time and sequential dosage mechanisms for morphine and heparin. Novel, adversarial notions of fairness are then defined for the problem of dimensionality reduction of data, and a Semidefinite Programming (SDP) relaxation of the FO hierarchy is defined that controls these notions. we provide experimental analysis, including a case study on insurance rate-setting that allows for mechanisms that are fair with respect to legally-motivated age restrictions. Similarly, we extend fairness to the problem of hypothesis testing, and make the connection between fairness and robustness in this realm. This is actuated in the form of a distributionally-robust dynamic watermarking scheme to detect attacks on dynamical systems. Finally, we extend the intuitions of data-dependent regularization underlying the FO hierarchy to design a data-dependent regularizer that promotes robustness in classifiers in the low-data regime when data lies in a low-dimensional manifold.
Educational Means of Students at School, Especially Means of Obstruction

For the non-appearance of violence in schools by students, as well as by other adult persons, is not interested only the family and the school but also the scientists and the whole society. Early prevention of violence in schools is not only a need of practice, but an interest of science and of the free and democratic society as well, in the full sense of the word. Therefore, the purpose and interest of the society is to educate the youth about a future life and work in society and for society. Understandably, advanced societies have open doors of progress, and they have come to where they are today thanks to the education and the right institutional education, and not with pressure, oppression and violence.Therefore, society must do its utmost to prevent the spread of violence in schools with all the available mechanisms. The purpose of this research is to ascertain which are the educational means, in particular the means of prevention, that take most part at school, the ways of using these tools and their impact on the reduction and prevention of violent behavior of students at school. The main objective of this study and research is the use of educational tools, in particular the means of obstruction and their impact on the progress of the teaching work. In our work the main position will have: Literature Consultation, Questionnaire compilation and implementation, interpretation of results, Research methods: Method of theoretical analysis, methodology of pedagogical-social documentation, statistical, conversational, comparing data.
Implementation of the Integrated School Information System Web-Based at the Teaching and Learning Activity Center (PKBM) in West Java

The purpose of this study is to assist the teaching and learning process of administrative services and financial reporting in community learning activity centers with a well-integrated system. The data used are primary data. The data collection method used is direct observation on the research object, namely PKBM Patrakomala and PKBM Hiama. The method of analysis is descriptive qualitative analysis with the design based on web technology and MySQL for the database. The results in this study are that administrative services and financial reporting at PKBM use a well-integrated system so as to produce accountable and accurate financial reporting.
Top 4 Cybersecurity Threats After the Pandemic | blog | I.S. Partners

Multiple factors have led to the surge in hacking attempts and cybersecurity threats to healthcare data in the past year. Medical, scientific, and pharma ...
Application of K-Means Algorithm for Clustering the Quality of Lecturer Learning at Batam International University

The need to measure the quality of learning becomes very significant when the quality of learning is still low. This also applies to the quality of learning at the highest level. The quality of lecturer learning in class is often not in accordance with what it should be, one of the constraints of this low quality is that the quality of lecturer learning is not accurately measured. Data mining is used in this research to map the quality of lecturer learning based on its cluster, namely Clustering, It is hoped that universities can measure the quality of learning from their lecturers accurately. From this research, students with low social studies tend to value lecturers with low grades; conversely students with high social studies tend to judge lecturers with high enough grades. The k-Means algorithm is accurate enough to be used in clustering the quality of lecturer learning based on grades and results of student questionnaires.