Reviewerly/exHarmony huggingface dataset:
Penerapan Metode Dempster Shafer Untuk Diagnosa Penyakit Batu Karang

Rocks or urinary tract stones are small and hard deposits that form in the kidneys, urinary tract and often cause pain when urinating, due to lack of public knowledge about the problem of coral disease, and to find out about this situation, people usually do an examination at the home. Sick or Doctor. However, not everyone can do this, this can be due to insufficient economic factors or long distances to visit the doctor, there are also weaknesses in the limited working hours of the doctor's practice. Therefore, innovations and solutions are needed in these conditions, namely by utilizing computer technology to build an expert system that has the ability as a doctor in making diagnoses. This study aims to create an expert system analysis with the Dempster Shafer method that can help doctors and physician assistants, or the general public in diagnosing coral stone disease. The results of this study indicate that with the analysis of the Dempster Shafer method, more optimal and accurate diagnostic results related to coral disease are available to the general public and can assist in the examination of coral disease.
KESULITAN BELAJAR MEMBACA DALAM PENERAPAN K13 PESERTA DIDIK KELAS I SEKOLAH DASAR

The purpose of this study was to analyze the problems of students' learning difficulties in reading skills. This research uses a qualitative descriptive research type. This research was conducted at SDN 07 Parak Juar Batusangkar. The students in class I consist of 30 people, so the sampling used is purposive sampling. The data collection instrument in this study was the researcher himself (human instrument). With data collection techniques in the form of observation, interviews, and documentation. Data analysis techniques that have been collected in this study, consist of data collection, data reduction, data presentation, and conclusions. The results of the study were obtained that learning difficulties faced by students, namely students did not know and were able to memorize all the letters of the alphabet so that reading difficulties were caused by internal and external factors. Internal factors are physical factors, interests, and motivation. While external factors are from the teacher due to ineffective classroom management and curriculum that used by school canâ€™t applied well, then factors from family is the lack of support for children at home. In this study, it can be concluded that the factors that cause learning difficulties for elementary school 1st class learners are not yet recognizing alphabetical letters and have not been able to distinguish letters so that when reading learners are still confused and make mistakes.
Pemanfaatan Media Pembelajaran Berbasis Digital dimasa Pandemik

The purpose of this study was to determine the use of digital-based learning media during the COVID-19 pandemic. The method in this study uses the library study method. Literature Review is a method by collecting material, data and information from books, journals and articles related to the issues discussed. The results of the study, the use of digital-based media during the pandemic was fairly effective in teaching and learning activities. With technological advances that support the teaching and learning process, students will easily accept the material explained by the teacher through digital media. Digital media facilitates knowledge that teachers have never provided during face-to-face learning. Learning in digital media is very diverse so that learning has different nuances. This makes students motivated in every learning process they do during the pandemic. In conclusion, during the COVID-19 pandemic, digital media was chosen because it is more creative and innovative in delivering learning materials. The use of digital media is considered effective in overcoming the distance learning process and suppressing the spread of COVID-19. The benefits of digital-based learning provide direct benefits to students and teachers, especially in teaching and learning activities.&#x0D; &#x0D; Keywords: Digital, Learning Media, Covid 19 Pandemic
Research Summary

Monte-Carlo Tree Search (MCTS) is an online planning algorithm that combines the ideas of best-first tree search and Monte-Carlo evaluation. Since MCTS is based on sampling, it does not require a transition function in explicit form, but only a generative model of the domain. Because it grows a highly selective search tree guided by its samples, it can handle huge search spaces with large branching factors. By using Monte-Carlo playouts, MCTS can take long-term rewards into account even with distant horizons. Combined with multi-armed bandit algorithms to trade off exploration and exploitation, MCTS has been shown to guarantee asymptotic convergence to the optimal policy, while providing approximations when stopped at any time. The relatively new MCTS approach has started a revolution in computer Go. Furthermore, it has achieved considerable success in domains as diverse as the games of Hex, Amazons, LOA, and Ms. Pacman; in General Game Playing, planning, and optimization. Whereas the focus of previous MCTS research has been on the practical application, current research begins to address the problem of understanding the nature, the underlying principles, of MCTS. A careful understanding of MCTS will lead to more effective search algorithms. Hence, my two interrelated research questions are: How can we formulate models that increase our understanding of how MCTS works? and How can we use the developed understanding to create effective search algorithms? This research summary describes the first steps I undertook in these directions, as well as my plans for future work.
Rationalization Study of Rainfall Network Density Using The Kagan-Rodda Method in Sub Watershed of Bango

Management of water resources in watershed determined by avaibility of accurate rainfall data. The study of rationalization rainfall recorded density result the suggestion of amount and placement of rainfall recorded in watershed. The study was manage in Watershed of Bango with total area 246,4 km2 using Kagan-Rodda method and WMO Standard. The analysis of rainfall recorded using WMO Standard, 100-250 km2/rainfall recorded shown that none of the existing rainfall recorded in Bango Sub-Watershed are qualified. The result of Kagan-Rodda analysis giving recommendation the precise amount of rainfall recorded in Bango Sub-Watershed is Blimbing as point of reference station and form another rainfall recorded, C station. The coverage area of Blimbing is 133,74Â km2 and C Station is 112,61 km2.
More Than Storage of Information: What Working Memory Contributes to Visual Abductive Reasoning

abductive reasoning visuospatial reasoning working memory eye movements process tracingAbductive reasoning is the process of finding the best explanation for a set of observations.As the number of possible observations and corresponding explanations may be very high, it is commonly accepted that working memory capacity is closely related to successful abductive reasoning.However, the precise relationship between abductive reasoning and working memory capacity remains largely opaque.In a reanalysis of two experiments (N = 59), we first investigated whether reasoning performance is associated with differences in working memory capacity.Second, using eye tracking, we explored the relationship between the facets of working memory and the process of visuospatial reasoning.We used working memory tests of both components (verbal-numerical/spatial) as well as an intelligence measure.Results showed a clear relationship between reasoning accuracy and spatial components as well as intelligence.Process measures suggested that working memory seems to be a limiting factor to reasoning and that looking-back to previously relevant areas is compensating for poor mental models rather than being a sign of a particularly elaborate one.Following, high working memory ability might lead to the use of strategies to optimize the content and complexity of the mental representation on which abductive reasoning is based.
A Cybernetic Performance System for Live Performance

A cybernetic performance system allows the performer autonomy over their technical environment.The system looks to enable a process where the physical and technical design are created concurrently, resulting in an authentic relationship between the performer and their digital environment when producing live, performative work.The installation looks to demonstrate the process of incorporating a performer, technology, and technologist into the cybernetic performance system.
Open issues and challenges in automatic sign language translation systems

More than 466 million people suffer from hearing disability comprising of 34 million children and 432 million adults worldwide. People of deaf community are mostly in an uncomfortable situation while visiting or travelling at public places without a sign interpreter. Deaf people are unable to understand any public announcements made at public places. They remain ignorant about the choosing of counter/gate/platform number without the assistance of a sign interpreter. Translation of spoken language to sign language is a very exigent task due to non-availability of standard grammar rules and lack of sign language dictionaries. Sign language translation possesses many challenges. In this paper, open issues and challenges in automatic sign language translation are addressed and future directions are also provided to encounter these issues and challenges. Proper handling of these issues and challenges can help in meeting the communication needs of deaf people at public places very effectively. The development of automatic sign language translation systems in public domains is also discussed.
Research on Heterogeneous MUMTMP Based on Joint Optimization of Route Planning and Task Assignment

A method of multi-UAV multi-task mission planning taking into account both route planning and task assignment is proposed. The path for any two points is planned with Dubins curve meeting the minimum flight radius of UAVs, incident and exit angle of targets, respectively. B-spline curve is used to revise path in case of the planned paths pass though threat area; Based on distance matrix, an improved GA to eliminate deadlock is used in task assignment. The simulation results show that proposed method has fine effect on convergence speed and allocation schemes in task assignment and reasonable paths in route planning under different scenarios. These results can be a reference for practical application environments in MUMTMP.
Implementation of Digital Image Watermarking That Is Both Safe and Effective in Terms of Space on a Reconfigurable Platform

Now a day digital data is straightforward to handle yet it lets unauthorised users to obtain this information.In order to prevent unwanted access, typical methods include encryption and watermarking.In this research, we propose a Discrete Wavelet Transform (DWT)-based, cryptographically-integrated, invisible picture watermarking method for rapidly deploying new configurations of hardware.In DWT implementation, simpler equations are created for creation of approximation and detailed coefficients owing to which this operation requires only 306 slice registers and its maximum operating frequency is 556.174MHz
Mathematical modeling of gross regional domestic product growth rate of North Sumatra Province by business field using local polynomial regression

Nonparametric regression modelling for data applies the relationship between predictor and response variables without considering any particular trend. The main principle of nonparametric regression is estimating an unknown smooth function. Local polynomial regression is one of several methods for estimating smooth functions used in nonparametric regression models. There are two parameters in the local polynomial regression model the smoothing parameter and the polynomial degree parameter. Generalized Cross Validation is a classical method used to determine optimal smoothing parameter in nonparametric regression. The smoothing parameter that gives the minimum value of Generalized Cross-Validation is the optimal parameter. We apply the optimal smoothing parameter for local polynomial regression modelling using data on the regional domestic product growth rate of the business field in North Sumatra Province. The simulation results show a polynomial of degree two is better than degree one. Investigation of the effects of the Covid-19 pandemic shows that the predicted growth rate is far from the expected growth.
Application of Blended Learning Methods in Increasing High School Students' Learning Interest in Sukoharjo

The Covid-19 pandemic caused a change in the education system that began from face-to-face meetings in the classroom to online-based to reduce the spread of the covid-19 virus. During online learning this causes the interest in learning learners decrease and there are several obstacles, namely: facilities, facilities, and infrastructure that are less supportive in teaching and learning activities, in addition to the lack of teaching methods carried out by educators in learning activities. This research uses descriptive research methods with quantitative approaches as well as primary data collection techniques from tests (questionnaires) and observation of online and offline learning activities in the classroom. Sma Negeri 1 Tawangsari has implemented a learning system offline and online. So that the application of blended learing learning methods is considered suitable in this system. Supported by the results of research shown in the second cycle that showed that offline learning activities are more desirable to learners because of the interaction between teachers and participants who are able to improve memory, reduce smartphone use that causes negative impacts on health, and short assignments with long-term collection.
Technosphere of the university: an environment for the teacher’s information culture development

This study is an attempt to analyse the university technosphere capabilities to develop the teachers information culture. The university technosphere is considered to be the most important condition to develop the university teachers information culture. Having analyzed the essence and structure of the teachers information culture, the following hypothesis is put forward: the effectiveness of the university technosphere development has an impact in the development of the teachers information culture; the effectiveness of the university technosphere development is also reflected in the teachers readiness to apply the information technologies in practice in the educational process. This hypothesis indicates the purpose of the study: to substantiate the model of the teachers information culture development in the conditions of the university technosphere creation and functioning. Having substantiated this model theoretically, the authors have built upon the ideas of information and communication, competency-based and cyber-ontological approaches, which are especially relevant in the context of modern cyber socialization. A pedagogical experiment involving 32 teachers from the Immanuel Kant Baltic Federal University (Kaliningrad, Russia) has been organized to test the hypothesis. The experiment has been carried out in three stages: at the first ascertaining stage the teachers attitude to the development of their information culture has been diagnosed. The adoption of the teachers information culture development model, which has no analogues in modern pedagogy of higher education (implemented on the basis of the self-developed special course, which is held as a series of training seminars) has been carried out at the second formative stage. The re-diagnostics of the developed components of the teachers information culture has been carried out at the third control stage. The dynamics has been observed in all information culture components. The most significant changes have occurred in the indicators of the information culture operational component development (from 5,8 units to 9,1 units), which has indicated the effectiveness of the developed model. Hence, it can be used in the organization of work how to develop the university teachers information culture. The novelty of the study is related to the introduction of the developed model into the university educational space, which develops the teachers psychological readiness to master the information products and professional competence in the implementation of the innovative information technologies.
CORRELATION OF LIBRARIAN COMPETENCE AND DIGITAL-BASED LIBRARY MANAGEMENT

The library's progress is very dependent on the quality of human resources. This article aims to describe the competence of librarians at Islamic religious universities throughout the city of Bandung, digital-based library management at Islamic religious universities throughout the city of Bandung, and the relationship between the competence of librarians and digital-based libraries management at Islamic Religious Colleges in the City of Bandung. The method used in this study is a descriptive correlational method using a quantitative approach. This study used a saturated sampling method were all 31 samples. From the results of the study, it was concluded that: (a) The competence of librarians is included in the excellent category because it is in the interval range of 2.60 – 3.39 with a value of 3.34 (enough category); (b) Digital-based library management is included in the good category because it is in the interval range of 2.60 – 3.39 with a value of 3.25 (enough category); and (c) The relationship between librarian competence and digital-based library management has a relationship of 0.796, with the coefficient value falling into the 0.06 - 0.799 category, which means that there is a strong relationship. In addition to the professional competence of librarians, to realize digital library management, they need technological literacy. The implementation of a digital library can be a means of supporting the progress of the quality of graduates in the global era.
Effectiveness of information booklet on knowledge regarding Learning disability of children among parents in selected Special School, Bangalore

Introduction Learning disabilities cannot be cured but they can be treated successfully and children with learning disabilities can go to live happy and successful lives. Learning disability is a classification including several disorders in which a person has difficulty learning in a typical manner usually caused by an unknown factor or factors .The unknown factor is the disorder that affects the brains ability to receive and process information .This disorder can make it problematic for a person to learn as quickly or in the same way as someone who isnt affected by a learning disability .Learning disability have trouble performing specific types of skills or completing task if left to figure things out by themselves or if taught in conventional ways.Objectives 1. To assess the existing level of knowledge of parents regarding the learning disability of autistic children in selected special school Bangalore.2. To assess the post-test knowledge level of parents regarding the learning disabilities of autism children in selected special school Bangalore.3.To assess the effectiveness of information booklet on knowledge of parents regarding learning disabilities of autism children.4.To find out the association between pre and post-test knowledge score with selected score of the parents in a selected demographic variables.Design Quasi - experimental one group pre-test and post-test design was selected for the study. 30 parents in Navachethana trust was recruited by non probability purposive sampling method. Necessary administrative permission was obtained from concerned authority. Structured interview schedule was used to elicit the baseline data and structured questionnaire were used to elicit the knowledge of parents.Setting The study was conducted in Navachethana trust situated in Banashankari Bangalore.Result The study revealed that among10 33 parents had moderately adequate knowledge 20 parents 67 parents had adequate knowledge in the post-test score on learning disabilities. There was no inadequate knowledge found in the post-test. The mean pre-test knowledge score of parents in the special school was 18.5 whereas the mean post-test knowledge score was 24.56. The obtainedlsquotrsquo value for knowledge was 18.37 lsquoprsquo value was 3.92.Conclusion The study concluded that the information booklet on learning disabilities carried out in the study was found to be effective in improving the knowledge of parents as evidenced by the significant change between pre-test and post-test knowledge score.
Video Highlight of Farcana Streaming from Twitch

The Highlights are the most interesting, selling moments from video stream, which can make the viewer watch the entire video.They are like a shop window: everything that is bright and colorful goes there.Seeing them, the user can understand in advance what is inside the video.And they are more versatile than trailers: they can be made shorter or longer, embedded in different places in the user interface.The user sees a selection of highlights as soon as he gets to the website or watches a video clip on YouTube or even a section of a stream of a popular blogger/influencer.The user's attention is immediately attracted by the most memorable shots.Naturally, it is becoming more tedious to manually create all video highlights, due to the immense amount of material that the highlights are needed for.Thus, creating an algorithm, capable of automating the process would make the process significantly simpler.Besides easing up the work, this process will pave the way to a whole set of new applications that before did not seem real.At the same time, this would be a new process where the AI would not need to be fully supervised by a human, but be capable of identifying and labeling the most interesting and attractive moments on screen.After doing a literature review on video highlight detection, this paper has utilized the model presented in the study by [1] to determine the possibility of attaining highlights from the Farcana 2.0 version Twitch video feed.
An Improved Popular Items Extraction for Covering Reduction Collaborative Filtering

Recommender Systems are systems that aid users in finding relevant items, products, or services, usually in an online setting.Collaborative Filtering is the most popular approach for building recommender system due to its superior performance.There are several collaborative filtering methods developed, however, all of them have an inherent problem of data sparsity.Covering Reduction Collaborative Filtering (CRCF) is a new collaborative filtering method developed to solve the problem.CRCF has a key feature called popular items extraction algorithm which produces a list of items with the most ratings, however, the algorithm fails in a denser dataset because it allows any item to be in the list.Likewise, the algorithm does not consider the rating values of items while considering the popular items.These make it to produce less accurate recommendation.This research extends CRCF by developing a new popular item extraction algorithm that removes items with low modal ratings and similarly utilizes the rating values in considering the popular items.This newly developed method is incorporated in CRCF and the new method is called Improved Popular Items Extraction for Covering Reduction Collaborative Filtering (ICRCF).Experiment was conducted on Movielens-1M and Movielens-10M datasets using precision, recall and f1-score as performance metrics.The result of the experiment shows that the new method, ICRCF provides a better recommendation than the base method CRCF in all the performance metrics.Furthermore, the new method is able to perform well both at higher and lower levels of sparsity.