Reviewerly/exHarmony huggingface dataset:
FORECASTING THE NUMBER OF VERTICAL REFERRALS FOR BPJS PARTICIPANTS AT HEALTH SERVICE CENTER IN UNIVERSITAS AIRLANGGA USING ARIMA MODEL

Autoregressive Integrated Moving Average (ARIMA) is a time series forecasting method to estimate future events using past data. It can perform short-term forecasting on data with all types of data patterns, both seasonal and non-seasonal data. This study aims to report the best ARIMA for vertical referral cases in BPJS PLK Universitas Airlangga participants. This method used to analyze the number of vertical references for BPJS participants. The research method used is non-intrusive using secondary data and the sample used was the entire population of vertical point reference data for BPJS PLK UNAIR in 2020. The purposive sampling used until 266 data are found. The results of the analysis show that the ARIMA model used to estimate the number of vertical referrals participants is AR [6] or also known as ARIMA [6,0,0]. As for PLK Campus B UNAIR is ARIMA [0,1,1]. In this model, all diagnostic tests have met the assumption requirements. The results of forecasting the number of vertical referrals in PLK Campus C shows the number of vertical referrals will tend to have a constant or horizontal trend with a smaller reference value than the data in 2020. Meanwhile, the number of vertical referrals of PLK Campus B UNAIR has decreased in number compare to 2020. This forecasting has a MAPE value below 10% so the forecasting model has a very good performance in forecasting examples of vertical referrals for BPJS participants in the future. Then the results are useful for making policies to deal with future cases.
Penerapan Metode Snowball Throwing dalam Meningkatkan Hasil Belajar pada Pembelajaran IPS di Kelas III SDN Kalangsari IV Kecamatan Rengasdengklok Karawang

Education is a conscious, planned effort to realize successful learning that aims to develop the potential of students to become human beings of faith and fear of God Almighty, noble, healthy, knowledgeable, capable, creative, independent and become democratic citizens so that they are responsible. Therefore, it is necessary to have a learning method that supports the learning success of students in the classroom. Therefore, researchers are interested in using the snowball throwing learning method which is applied to students at SDN Kalangsari IV. The method used in this research is the Kemmis and Taggart class action research which was conducted for three cycles. Each cycle consists of planning, action/observation, and reflection. The data collection technique used by observation applies three research cycles. Each cycle consists of planning, action/observation, and reflection. After the implementation of the snowball throwing method in social studies learning in class III SDN Kalangsari IV. So the results showed that the percentage of classical completeness in the first cycle was 70% with an average value of 74, then in the second cycle it increased to 82.50% with an average value of 81.50 and in the third cycle increased to 90% with an average value. -average 84.50. And the skills of teachers in the first cycle obtained 45% with sufficient category, then in the second cycle increased to 72.50% in the active category and in the third cycle increased to 90% with the very active category. Student activity in the first cycle scored 47.50% in the moderate category, then in the second cycle increased to 70% in the active category and in the third cycle increased to 87.50% in the very active category. Thus, it can be concluded that the snowball throwing learning method is proven to be able to improve student learning outcomes in class III SDN Kalangsari IV in Social Science subjects.
Digital Inclusion for the Faculty Members: A Case Study

The field of information is undergoing a very rapid transformation with the use of information technology in every community activity. The use of information technology that is increasingly friendly in the community has facilitated work management to be more effective and efficient so as to accelerate performance. However, the diverse geographical conditions of society have led to a digital divide in technology accessibility in Indonesian society, while the rapid development of technology demands equal distribution of capabilities and mastery of technology throughout the wider community. As an institution that is an information center, the role of libraries is very important in encouraging people to use information technology through digital inclusion. Libraries can carry out the role of digital inclusion through the provision of technology tools, freedom of access by the community. This study examines the role of libraries in digital inclusion with students as part of a community group. The research was carried out with a quantitative approach through the distribution of questionnaires, to determine student responses regarding the availability of information technology devices provided by the library, their accessibility and ability to utilize these facilities. The results of this study found that the information technology facilities provided by the library and the ease of access have helped students to get information sources easily and quickly. The provision of adequate information technology facilities and easy access to libraries has played a role in helping students to become more familiar with digital devices, so that they can adapt quickly to any existing technological developments.
Visualization Methods of Information Regarding Academic Publications, Research Topics, and Authors

Displaying search results in a vertical list, existing academic search engines do not reveal deeper insight into searched topics such as their connections with other topics. To address this issue, this paper proposes two interactive information visualization interfaces where users can discover networks of authors in computer science and interdisciplinary connections among research topics in philosophy, art, and history. The first interface presents collaboration relationships among authors and the authors&rsquo; publications, using author name and publication title data extracted from more than two million papers published in the ACM journal until 2016. This interface, to our knowledge, is the first search engine that was built with a game engine, which sheds light on a novel use of a game engine as a search tool. The second method uses a web interface to show connections among seemingly unrelated concepts. Being the first digital implementation of Bill Seaman&rsquo;s poly-association, the interface possesses potentials as a widely available tool that can be used for discovering unexpected interdisciplinary relationships among research topics.
Semantic Analysis of Modality in Siin Seereer

The present work is devoted to the semantic analysis of modality in Siin Seereer. The latter is an African language belonging to the West Atlantic branch of the Niger-Congo family. It is a language through which the enunciator can express his/her ideas and point of views through the expression of modality. Thus, there are lots of operators used in Siin Seereer language to deal with modality (deontic, epistemic, dynamic, etc.). So, the article aims to highlight the different types of operators used to deal with modality, their grammatical categories, their formations and structures. In addition, the article will help understanding the functioning of Siin Seereer language in general and of the different types of modality, their relationships, their interdependency (if there is any) in particular. However, to find some results, field surveys, interviews and a lot of research will be done.
Extract roi from mammogram images using morphological and k-means clustering

Cancer is leading cause of death in worldwide. Cancer cells damages all cells surrounded by it and hence covers the complete area of the body. Amongst women breast cancer is most common deadly disease as compared to men. In any type of cancer early-stage detection plays vital role as it can save the patient’s life. If cancer is diagnosed early by using breast self-examination (BSE) and clinical breast examination (CBE) at 40-49 years of age, the survival rate of breast cancer reaches 100 per cent. New strategies named CAD (computer-assisted diagnosis) programs for early detection utilizing multiple mammogram datasets, such as mini-mias, DDSM, etc., CAD (Computer Aided Diagnosis) systems are mostly used for the second opinion for radiologists. Many researchers are already developing different CAD systems. Different databases are available for the researchers to study and detect the cancerous tumors. In this paper Mini-Mias database is used. Mammogram images are low contrast and may contain noise. Filtering or pre-processing is required to remove any noises present in the image, here Weiner filter is used. Two methodologies are compared here. First using morphological operated segmentation and second is by using k-means clustering algorithm.
Improving the Readiness of Teachers-Psyuchologists to Solve Professional Problems Using the Workshop Tools

The article presents an analysis of the experience of using the workshop as a technology for dynamic training of teachers-psychologists in the system of continuing professional education. Typical difficulties of specialists are described, the effectiveness of the work is proved on the basis of recorded changes in the structure of readiness for the implementation of psychological and pedagogical support in accordance with modern regulatory requirements.
Label Enhancement with Sample Correlations via Low-dimensional Feature Representation

In this paper we propose a novel label enhancement (LE) algorithm called Label Enhancement with sample correlations via Low-dimensional Feature Representation (LE-LFR) in order to solve the problem that many training sets cannot use label distribution learning (LDL) algorithms because they only contain logical labels rather than label distributions. Unlike most existing two-stage methods, LE-LFR method is a one-stage method and the sample correlations are mined comprehensively. In detail, we obtain the low-dimensional feature representation via a manifold learning process firstly and then we get the label distribution during the intermediate procedure via the label propagation process. The sample correlation both in the label space and low-dimensional feature space is considered during the process. Finally, the enhanced maximum entropy model is established as objective function, and the predicted label distribution is obtained. By using the rich label information in low-dimensional feature space obtained in the first step and the label distribution information estimated in the second step, the enhanced maximum entropy prediction model is trained through gradient descent iterative optimization, and the label distribution prediction parameters with higher accuracy are obtained. Experimental results on fourteen real-world datasets show superior advantages of LE-LFR against several existing LE algorithms.
CULTURE AS EDUCATION, EDUCATION AND LIFESTYLE OF A NOTARY

The article considers the main constituent elements that contain the semantic meaning of the word culture.It is believed that a notary, whose professional activity is subject to the establishment of a high legal culture in society, is at the same time the bearer not only of legal awareness, but also a high level of the whole cycle of social disciplines.The primary meaning of the word culture means the processing not only of the natural environment, starting with the earth, but also the processing of innate natural character, which does not always play a social and creative function.Hence the constant conflicts not only between individuals whose characters are diverse, but also between nations, including the war for physical destruction.Such a culture of behavior, which is formed by the system of education and upbringing, aimed at the development of those abilities that each person is able to develop for the benefit of themselves and society and the natural environment, is able to counteract this direction of human existence.
Integral Dimensions of Piano Accompanying: A Stable Change in Identity

Ontological and epistemological polarisation between the concepts of art and craft, the aspects of their differentiation and synthesis are important in all artistic disciplines. Speaking specifically about the musical performance as a discipline, the objective, measurable, and technical means of expression are always accompanied by subjective abstract implications of individual features that characterise a certain performer or an ensemble. Creative explorations by nineteenth-century Western European composers and the romantic ideology in general provided a fruitful ground for the development of a qualitatively new type of relationship between the soloist and the accompanist. In response to the new demands posed on the accompanist, the issues of equality and collaboration between partners in a chamber ensemble first appeared in public discussion and were considered by music scholars of the time. This also led to further differentiation of distinctive sub-disciplines in the art of accompaniment. Even though the distinction between art and craft is obvious and indisputable, the notion of craftsmanship, placed in the context of practice, becomes a starting point and a prerequisite in the pursuit of fine quality in every art and profession. In the practice of the accompanying pianist, which forms a separate field of specialisation in piano performance, the “art-and-craft” dialectic is especially pronounced. This may be due to the multidimensional character of such practice. Our aim here is not to emphasise the opposition between these categories but to oppose them according to the specific areas of their manifestation and to draft a coherent structure of accompanying pianist’s profession. By synthesising various characteristics, the craft within a profession becomes a path towards transcendental art, a means to achieve symmetry between identity of creative work and fine quality.
Impact of Customer Capital on Achieving the Competitive Advantage on Banking Sector: A Field Study on Banks in Taiz, Yemen

This study aimed to identify the effect of customer capital (including its dimensions: customer acquisition, allocation, market share, customer satisfaction, and customer loyalty) on achieving a competitive advantage in the banking sector in Yemen (including its dimensions: cost reduction, innovation excellence and flexibility). The study used the descriptive analytical method on a sample of 86 participants selected purposively from the study population, which was (380) members, covering directors, managers, heads of departments and workers in Yemeni banks in the governorate of Taiz. Using the SPSS package, the descriptive and inferential statistical methods were used to analyze data. Major findings revealed there was a direct impact relationship between the customer capital and the competitive advantage in the banking sector, where the customer satisfaction dimension was found to be the largest contributor to achieving competitive advantage. Furthermore, findings showed that there was a lack of training offered to workers on customer acquisition skills (as it is an important variable in acquiring customers). There was also a disparity between Yemeni banks in having databases to track customer preferences and keep them for use whenever the need arises. The study concluded that banks need to enhance their employees' skills of customer acquisition, and to develop a marketing system to track customer preferences which are imperative to achieve the competitive advantage.&#x0D; Keywords: customer capital, banking sector, competitive advantage.
Tsukamoto Fuzzy Method Analysis in Laptop Damage Diagnosis

As we know now that laptop and PC users are increasing, but the system for detecting damage that is definitely still minimal, this panel will try to solve the problem. Based on the results of the problems that have been described in the background of this research, namely the uncertainty of each technician to determine the damage that occurs on the laptop, this research creates an expert system with the Tsukamoto fuzzy method in diagnosing laptop dredging based on the symptoms experienced by consumers. In accordance with the results of testing the symptom and damage data that has been tested on this system, the data as in the table above in the third sequence is inputting symptoms G030, G037, G034 then the damage will occur with K003. This system also managed to show the results of the research that the level of truth was only at 85%. This system can also be used for anyone who needs it.
Local Wisdom and Metaphors in Banyumasan Short Stories

Local wisdom is essential for many to solve problems.In several Banyumasan short stories, which contain many metaphors, local wisdom functions to stimulate the readers in recalling old adages or proverbs that are still relevant in today's era.The local wisdom symbolizes moral values in the stories, and this matter is worth analyzing.By that, the present study was aimed at examining the correlation among the moral values in Banyumasan short stories.It was also designated to scrutinize the conceptualization of local wisdom as the effort to preserve the local culture of Indonesia.The study employed a referential identity method and an introspective reflective method.
Diagnostics of the Level of Teacher’s Professional Competence for Development of Emotional Intelligence of Pre-School Child

Emotional intelligence is considered in the article as an actual competence of a child, a demanded skill for successful self-realization of a person in the 21st century. The content of the article presents the results of an analysis of the level of formation of the emotional competence of the preschool educational institution teacher and the tools for conducting this assessment.
Information-Theoretic Exploration of Multivariate Time-Varying Image Databases

Modern scientific simulations produce very large datasets, making interactive exploration of such data computationally prohibitive. An increasingly common data reduction technique is to store visualizations and other data extracts in a database. The Cinema project is one such approach, storing visualizations in an image database for post hoc exploration and interactive image-based analysis. This work focuses on developing efficient algorithms that can quantify various types of multivariate dependencies existing within multivariable datasets. It applies specific mutual information measures for the quantification of salient regions from multivariate image data. Using such information measures, the opacity of the images is modulated so that the salient regions are automatically highlighted and the domain scientists can interactively explore the most relevant regions for scientific discovery.
Volunteering as a human resource for the activities of social organizations

The article discusses the issues of training volunteers and organizers of volunteer activities in the system of additional professional education. The specificity of social volunteering determines the leading role of a systematic approach to organizing the training of specialists in this profile, taking into account the logic of the development of practical work in a specific area of social activity.
CREATIVITY DEVELOPMENT IN CHILDREN OF PRESCHOOL AGE AS A FACTOR FOR THE ACTIVIZATION OF THEIR LEADERSHIP QUALITIES

The article reveals the meaning of such concepts as “leadership qualities” and “creativity”, and defines the relationship between them in preschool-age children. Modern theoretical approaches to the problem of creativity development are presented, the connection between leadership qualities and creativity development of preschool-age children is analyzed. Factors influencing the development of leadership qualities of preschoolers such as family upbringing, age, and individual development, as well as features of children’s relationships in the immediate social environment (family, preschool, socio-cultural environment, etc.) are identified. The author emphasizes the importance of forming leadership qualities of the preschooler, namely such as responsibility; activeness; energy; persistence; demandingness; independence in performing the assigned task; communicativeness; organization; confidence; observation; initiative, creative approach to work. Emphasis is placed on the active support of leadership manifestations of preschool-age children in various types of creative activities: artistic, game, and creative.Thus, the author emphasizes that while communicating with children it is necessary to psychologically support them, i.e. to show optimism, encourage any manifestations of imagination, cultivate independence from an early age, stimulate children’s creativity, decision-making, and responsibility, rely on strong aspects of the character of a learner, create a situation of success, always take into account the opinion of the child, and show interest to the learner’s problems.The socio-pedagogical conditions necessary for the formation of leadership qualities of each learner are determined: taking into account the individual characteristics of the development of preschoolers and the level of formation of their creative and leadership qualities; purposeful formation of leadership qualities of preschool-age children in various types of creative activities (game, theatric, art and aesthetic); creating a favorable developmental environment by the means of enriching the educational space with a variety of cognitive information for the formation of children’s perception; development of communicative abilities, creative thinking, imagination, worldview, emotional and value sphere of preschool children; creating a situation for the child to succeed in various creative manifestations; formation of individual style of activity, high self-esteem of children, which stimulates them to actively take a part in creative activity.&#x0D; Keywords: childhood; preschool age; creativity; leader; leadership qualities; leadership role; creative potential; creative thinking; game activity; pedagogical support of the development of leadership qualities of learners.
Digital Tormenting Identification ON Web-based Entertainment Utilizing Machine Learning

Abstract: Cyber bullying is a major problem encountered on internet that affects teenagers and also adults. It has led to mishappenings like suicide and depression. Regulation of content on Social media platforms has become a growing need. The following study uses data from two different forms of cyber bullying, hate speech tweets from Twittter and comments based on personal attacks from Wikipedia forums to build a model based on detection of cyber bullying in text data using Natural Language Processing and Machine learning. Three methods for Feature extraction and four classifiers are studied to outline the best approach. For Tweet data the model provides accuracies above 90% and for Wikipedia data it gives accuracies above 80
A Software System for A Finite State Machine (FSM)

Abstract: A finite-state machine (FSM) is a computational mathematical model. For design and analysis, circuits and system operations can be represented in a variety of ways. FSM is one of the methods for using a drawing to represent the operations of many circuits and systems in electronic engineering, computer engineering, and so on. In terms of design, the finite state machine is a very simple machine. It is made up of a set of input symbols, output symbols, and states that must be designed. Furthermore, a function of input and output symbols with the current state to give the next state must be present. To simulate the Finite State machine, a software simulator is implemented in this paper using the Visual Basic programming language (in terms of design and operation).Several general examples are represented in this model. However, the software can be used to teach students about FSM and how it works.