Reviewerly/exHarmony huggingface dataset:
PEMBELAJARAN SASTRA DAN IMPLIKASINYA TERHADAP PENDIDIKAN KARAKTER SISWA

Abstract This study discusses literary learning and its implications for student character education. This study aims to explain and describe (1) The role of literature in character education. (2) Implementation of character education through literary learning. The data in this study the researchers obtained through literature studies and from other sources that support. The conclusion in this study is that literature is very instrumental in the character education of students (humans), namely in language development, cognitive development, personality development, and social development. Second, literature as a cathartic media in literary learning can be used receptively (accepting) and expressive (the ability to express) in character education. Third, literary works that present various themes can be used as a medium for students (humans) to recognize and understand the quality of their own character or character. . Fourth, literary works that narrate and describe various types of character characters, can be used as a medium for character education for students (humans), which is to set an example of the quality of character or personality levels of characters that must be emulated. Through literary learning, students are expected to grow into mature human beings who are cultured, independent, able to express themselves with their thoughts and feelings well, broad-minded, critical, characterized, refined in character, and polite. Therefore, literary learning must be encouraged. Keywords: Literary Learning, Character Education
Pendampingan Orang Tua Siswa Melalui Penyusunan Media Alat Hitung Manual (ALHIMA) dalam Mendampingi Anak Belajar dari Rumah Selama Masa Pandemi Covid-19

The implementation of online learning in accordance with the Minister of Education and Culture Circular No. 4 of 2020 during the Covid-19 pandemic caused new problems among parents of grade I elementary school students in Sugihrejo village. The low participation and involvement of parents in learning assistance has resulted in 76% of 25 parents having difficulty in assisting learning numeracy materials. Training on the preparation of manual counting (ALHIMA) media is an absolute effort to improve the quality of parental learning assistance on numeracy material. The method used to achieve this goal is the service learning method. In its implementation, this service program is proven to be able to improve the quality of parent learning assistance on numeracy material which is marked by new skills that parents have, including: knowing the importance of using learning media, mastering the concept of addition and subtraction, using ALHIMA media for assistance in learning counting materials, and being aware of its importance. provide the best mentoring for children's academic success.
Penggunaan layanan informasi untuk meningkatkan pemahaman tentang pendidikan seksual sejak dini pada murid Sekolah Dasar (SD)

Children become victims of sexual violence cause adverse effects including traumatic sexualization, stigmatization, betrayal, and powerlessness. This research is conduced as an effort to prevent victims of sexual violence in children through the early introduction of sexual education, and aims to encourage students to have an understanding of education sexual good since early. Students are expected to know and avoid if there is an indication of sexual violence that will occur. This research is conducted using information services to improve the understanding of sexual education early on elementary school students. This research aims to test the effectiveness of information services in improving the understanding of sexual education early on elementary school students. This research uses a research method of pre experimental design with one group approach pre-test and post-test one group design. Research hypothesis tested using non-parametric analysis due to the correlation of research samples and the data in ordinal form. Hypotheses test result show a significance score of 0,02 smaller than α, and are in the rejection area α = 0,05. This suggests the hypothesis is accepted that the use of information services effectively enhances the understanding of sexual education early on elementary school students
DESAIN SISTEM INFORMASI PERSEDIAAN BARANG STUDY KASUS MAULANA BAKERY

Maulana bakery is a business entity engaged in making bread, cakes, tarts and various other snacks. The problem that occurs in this home industry is located in the current system for processing data in and out of goods, how to record it through a ledger, there is no data processing that uses a more effective database system, so that sometimes it has difficulty in calculation existing goods. The purpose of this study is to create a Goods Inventory Information System that can manage and manage incoming goods, exiting goods, stock items, ordering transactions using the Waterfall method by using a website for easier program operations. Whereas for structure modeling using Data Flow Diagrams (DFD). The end result of this Information System can manage data incoming goods, data goods out, stock of goods and ordering online.
Implementasi Finite State Automata pada Mesin Abstrak DFA dan NFA Berbasis Android

FSA abstract machine (Finite State Automata) is a machine that is only seen from logic and processes and can use various programming languages to make it. The FSA Abstract Engine is accepting and rejecting an input. FSA is divided into two namely, DFA (Deterministic Finite Automata) and NFA (Non-deterministic Finite Automata). This paper discusses the use of the FSA algorithm to create DFA and NFA abstract machines based on Android. By using an android-based FSA abstract engine application the user can determine the input results of the automata process accepted or rejected easily and accurately without having to do manual calculations.
Accessibility Issues in Indonesian E-Commerce Portals: Issues and Recommendations for Business Improvement and Growth

E-commerce is the fastest and most profitable business that has a global presence. E-commerce companies can attain more profits by creating an accessible environment so that visually challenged consumers can access the website hassle-free. This research work focuses on the identification of accessibility issues in Indonesian E-commerce portals and certain recommendations have been suggested. E-commerce companies in Indonesia can use these recommendations to correct accessibility issues. All the Homepages of three top E-commerce portals have been analyzed using TVT (Total Validator Test) accessibility checking software and few accessibility issues have been identified. Ecommerce companies can identify the accessibility issues and use these recommendations to increase their userbase and finally they can reach the targeted goals and attain more profits.
Interactive VR film Storytelling in isolated space

There are many differences in narrative delivery between common movies and Virtual Reality(VR) films due to their differences in the appreciation structure. In VR films, scene changes by cuts have hindered the immersion of the audience instead of promoting narrative delivery. There are a range of experiments on narratives and immersion to solve this issue in VR films. Floating Tent applies hand gestures and immersive effects found in game elements and does not disturb narrative delivery by setting proper spaces and employing a direction technique to enable the melting of narratives into the characteristics of the spaces. There are time limits to offsound and mission performance, and devices fit for apocalyptic spatial expressions are made through a program. One of measures for the increasingly growing interactive storytelling in VR films is effective immersion. In narrative delivery, it is important to consider spatial setting and immersion to enable active intervention into events for immersion rather than passive audience only supposed to watch characters' acting.
UNDERGRADUATE STUDENTS’ READING INTEREST AND READING COMPREHENSION OF TRIDINANTI UNIVERSITY PALEMBANG

Reading comprehension is an active thinking process that is depended not only comprehension skill but the students' experience and prior knowledge comprehension involves understanding the vocabulary, seeing the relationship among words and concept making judgment and evaluating.The study was aimed to find the significant correlation and contribution between reading interest and reading comprehension.Fifty four students of Undergraduate EFL students of Tridinnati University Palembang became the sample of the study.The data was gained from students' reading interest questionnaire and their reading comprehension test.In analyzing the data, correlation analysis and regression analysis were used.The result showed that the correlation coefficient level between reading interest and reading comprehension was 0.477 with the sig.value 0.000, it means that there was a significant correlation between reading interest and reading comprehension of undergraduate EFL students Tridinanti University Palembang.Then, reading interest gave contribution to reading comprehension as much as 18.6%.
Professional branding of a university lecturer

The paper is devoted to the conditions for the status raising of a modern lecturer through professional branding. The article substantiates the importance of the lecturer’s brand for his successful professional activity. The author examines new opportunities for a lecturer-scientist, that the creation of his own brand open up. The stages of development of the lecturer’s personal brand are determined.
The intersection of artificial intelligence and other new technologies with the judicial role

Part 1 of this article argues that while technological innovation has the capacity to transform aspects of the judicial role, machines, for now, cannot replicate human values such as empathy and compassion. Part 2 outlines the new court digital management system in South Australia, which is providing valuable cost and time savings to business and the community.
Emotional and Volitional Component of Formation of the Technical University Students’ Cognitive Independence: Diagnostic Study Results

This article is about the essence and content of the concepts of "emotion" and "will", the constituents of the cognitive independence.The latter is considered to be an integrative property of people related to their ability and desire to carry out purposeful independent cognitive activity.So, the emotions that a person experiences in everyday life affect individual and social development and the formation of interpersonal relationships, express the state of the subject and its attitude to the object.The will contributes to the implementation and bringing the action to the final result, overcoming the internal obstacles.There have been identified positive and negative emotions, as well as the main volitional qualities that need to be learned by technical university students.The main structural components of the technical university students' cognitive independence are highlighted.The levels of the personality criterion of the emotional and volitional component are formulated.In the work, the methodology of revealing the formation of the emotional and volitional component of the formation of technical university students' cognitive independence is highlighted.The features of the research and experimental work control phase of the pedagogical experiment are disclosed.The results of the study can be used to develop special courses, teaching aids, when course and master papers writing.
A Resource Retrieval Method Of Multimedia Recommendation System Based On Deep Learning

In order to overcome the problem of too much time and low efficiency in retrieval caused by fuzzy representation of word vectors in multimedia recommendation system, this paper proposes a method of resource retrieval based on deep learning. Firstly, this method preprocesses multimedia resources and retrieval sentences, including morpheme segmentation, stop word processing, term normalisation, stem extraction, word vector processing. In the end, a deep retrieval model is built, to calculate the similarity between multimedia resources and retrieval statements, so as to achieve resource matching. The experimental results show that, while ensuring the accuracy of retrieval, the MAP value of short, medium and long retrieval statement fields is the maximum, which is 0.95, 0.92 and 0.88 respectively. The retrieval time is shortened by 0.3-0.6 s, which improves the retrieval efficiency.
Analysis of users' needs for developing a mobile health–based lifestyle care application for health promotion in elderly

Abstract Background Recently, Individuals who want to be provided mobile based health services for improving their health and quality of life are increasing. The demand regarding mobile health care services and wearable device are increased gradually in order to monitor their health wherever they are. Therefore, the purpose of this study is to analysis of user’s needs for developing mobile health based lifestyle care application for health promotion in elderly. Method Participants who lived in their community and used mobile phone were recruited. Finally, a questionnaire survey was conducted to 84 people. Data was anlaysized using descriptive statistics and t‐test with the SPSS version 25.0. Result As a result, the important functions for lifestyle care app which consumers are need are the number of daily steps, physical activities, blood pressure, sleep, nutrition and activity participation. Interestingly, in terms of the importance of activity participation as a function of the app, there was a significantly differences between age groups. Conclusion This study investigated user’s needs and preference in order to develop and design mobile health based lifestyle care application for health promotion in elderly. Therefore, findings from this study could be valuable resource for developing lifestyle care app.
LibGuides: Kentucky Christian University's Young Library Great River Road Virtual Vacation: Welcome to our Great Mississippi River Road Vacation

Drive along the Mississippi River, visiting 10 different states! Explore famous locations, people, food, and music! Introduction of our November 2020 Virtual Vacation
Magnetic survey – ground technology, aeromagnetic survey on aircraft and unmanned aerial vehicles: a comparative analysis of the results (on the example of Eastern Transbaikalia)

The use of unmanned aerial vehicles (UAVs) in geophysical work is becoming a very popular area in the field of modern geological exploration. The advantage of unmanned systems is the optimal ratio of the quality of research results with a significant increase in work productivity and a decrease in cost. In this regard, the improvement of field techniques and the processing of UAV materials is of particular interest for exploration. On the subject, there are a number of unresolved issues that have been revealed to some extent as a result of the author’s comparison of ground-based magnetic exploration and aeromagnetic survey data. The purpose of the study was to assess the possibility of a full-fledged replacement of ground magnetic exploration work for aeromagnetic survey using unmanned aerial vehicles. The comparison of different types of magnetic survey is relevant, since on the basis of the actual material, the possibility of using an alternative more productive method – aeromagnetic survey using modern UAVs – instead of traditional expensive ground-based magnetic exploration works is analyzed. To compare the results of the studies, actual material obtained from field work on an area of 13,4 km2 was used. Based on the databases, maps of anomalous magnetic field and graphs on several geophysical profiles are built. Results of magnetic survey in air and ground versions are analyzed; correlation relationships between data of ground pedestrian magnetic survey and aeromagnetic system on An-3 and UAV aircraft are established. Based on the results of the study, correlation and determination coefficients were obtained, which indicate that geophysical methods on UAVs adequately occupy their place between classical aerogeophysics and ground-based pedestrian survey. Moreover, aeromagnetic survey using UAVs is able to replace pedestrian magnetic exploration during work at the same heights. Based on the results of the study, methodological recommendations for the production of aeromagnetic survey on UAVs were compiled
PHILOSOPHY OF MUSIC IN THE CONTEXT OF CULTURAL AND HISTORICAL TRADITION: ONTOLOGICAL APPROACH

The article provides analysis of the stages of music philosophy formation from the perspective of ontological approach in the context of cultural-historical tradition: from antiquity to the present day. It has been found out that the ancient parallel "music - philosophy" for many centuries preconditioned the discourse in the context of revealing a dialectical contradiction between rational comprehension of music existence and its irrational nature. In this respect, it was discovered that historically ontological interpretation of music took place within the limits of dichotomy: the classical (rational) - non-classical (irrational). It has been proved that there is now a re-actualization of the ontological approach to the interpretation of music, which is due to its special place in the structure of the universe and the understanding of the spiritual horizons of the evolution of mankind in the musical Universe.
Likelihood-Free Inference with Deep Gaussian Processes

In recent years, surrogate models have been successfully used in likelihood-free inference to decrease the number of simulator evaluations. The current state-of-the-art performance for this task has been achieved by Bayesian Optimization with Gaussian Processes (GPs). While this combination works well for unimodal target distributions, it is restricting the flexibility and applicability of Bayesian Optimization for accelerating likelihood-free inference more generally. We address this problem by proposing a Deep Gaussian Process (DGP) surrogate model that can handle more irregularly behaved target distributions. Our experiments show how DGPs can outperform GPs on objective functions with multimodal distributions and maintain a comparable performance in unimodal cases. This confirms that DGPs as surrogate models can extend the applicability of Bayesian Optimization for likelihood-free inference (BOLFI), while adding computational overhead that remains negligible for computationally intensive simulators.
PENINGKATAN KEMAMPUAN MENELAAH STRUKTUR CERITA FANTASI MENGGUNAKAN METODE PETA PIKIRAN

The first objective of this research is to describe the ability to find the structure of fantasy stories of grade 7 A students at SMP Negeri 2 Jombang using the mind map method. The second is to describe the application of learning using the mind map method to improve the ability of grade 7 A students at SMP Negeri 2 Jombang. The research design used classroom action research. This type of research, namely qualitative and quantitative. The place of research is SMP Negeri 2 Jombang. The data in this study were the results of observations and tests of students finding the structure of fantasy stories. The data from the students' test results found that the structure of the fantasy story was analyzed quantitatively which was then described in words or sentences. The results showed that of the 30 students in the 10 groups as a whole entered at a good level. Based on this assessment, it can be seen that the class average score reaches the success criteria. The value of the ability to find the structure of a fantasy story, namely orientation, complications, and resolution in The Little Mermaid film can be seen per criteria. Based on the results of the scores, it can be concluded that most of the students have made progress in concluding all the parts in the fantasy film The Little Mermaid.
Developing Ensemble Methods for Detecting Anomalies in Water Level Data

Telemetry is an automatic system for monitoring environments in a remote or inaccessible area and transmitting data via various media. Data from telemetry stations can be used to produce early warning or decision supports in risky situations. However, sometimes a device in a telemetry system may not work properly and generates some errors in the data, which lead to false alarms or miss true alarms for disasters. We then developed two types of ensembles: (1) simple and (2) complex ensembles for automatically detecting the anomaly data. The ensembles were tested on the data collected from 9 telemetry water level stations and the results clearly show that the complex ensembles are the most accurate and also reliable in detecting anomalies.
IMPLEMENTATION OF DIAGNOSIS EXPERT SYSTEM TYPES OF HANDLING VICTIMS OF COVID-19 USING A WEBSITE-BASED FORWARD CHAINING METHOD

Abstract: This study aims to build an expert system to diagnose the type of handling of covid-19 victims. With the presence of this system the author hopes to help the community in diagnosing Covid-19 disease. The research model used in this study is the waterfall model. The results of this study are Expert Systems to Diagnose Covid-19 Victims Handling Types Using Website-Based Forward Chaining Methods. Based on the results of the answers of 2 respondents to the questionnaire questions, it was found that the majority of respondents said 87.5% chose strongly agree and 12.25% chose to agree. Then the user can be categorized as giving a very decent value to the system built, it can be said that the system built is very feasible to use. Keywords: Expert System, Diagnose Type of Handling for Covid-19 Victims, Forward Chaining Method.
Nevek, névterek, névadatbázisok – névkutatói megközelítésben. Gondolatok és észrevételek a Nemzeti Névtér programjának kapcsán

The paper looks at the given topic from the perspective of onomastics – the linguistically based but interdisciplinary field of the scientific study of proper names. It addresses the vast social, cultural and individual importance of proper names and thedifferent possibilities of their lexicographic and encyclopaedic processing. It gives insights into the main name types and the possibilities of the (digital) name dictionariesand onomastic databases, reflecting on the project of Hungarian National Namespaceas well. It briefly discusses the problems of the basic components of the namespace andtheir interpretation, and then looks in more detail at some of the practical questions ofprocessing certain name pools. It takes special interest in the following questions: connecting the names with the name bearers (one or more names vs one or more namedentities), dealing with names and their variants, and the completeness and accuracy ofonomastic data (and information attached), as raised by the Hungarian National Namespace project. The paper concerns itself with the currently available beta version of theHungarian National Namespace (http://abcd.hu), illustrating its points with relevant examples taken from there.
RNN Language Model Estimation for Out-of-Vocabulary Words

One important issue of speech recognition systems is Out-of Vocabulary words (OOV). These words, often proper nouns or new words, are essential for documents to be transcribed correctly. Thus, they must be integrated in the language model (LM) and the lexicon of the speech recognition system. This article proposes new approaches to OOV proper noun probability estimation using Recurrent Neural Network Language Model (RNNLM). The proposed approaches are based on the notion of closest in-vocabulary (IV) words (list of brothers) to a given OOV proper noun. The probabilities of these words are used to estimate the probabilities of OOV proper nouns thanks to RNNLM. Three methods for retrieving the relevant list of brothers are studied. The main advantages of the proposed approaches are that the RNNLM is not retrained and the architecture of the RNNLM is kept intact. Experiments on real text data from the website of the Euronews channel show relative perplexity reductions of about 14% compared to baseline RNNLM.