Reviewerly/exHarmony huggingface dataset:
PERSEPSI MAHASISWA PGSD TERHADAP PEMBELAJARAN DARING PADA MATA KULIAH PENDIDIKAN BAHASA DAERAH DI SEKOLAH DASAR

The purpose of this study was to determine the perception of PGSD students of class 2019 on the implementation of online learning during the Covid 19 pandemic in Regional Language courses in elementary schools and to find out the applications used during online lectures, as well as to determine the factors that hindered the implementation of online learning. in the Regional Language course in elementary school.The research method used is descriptive quantitative research with research instruments in the form of questionnaires distributed online via google form. The subjects in this study were PGSD students in the third semester of the class of 2019, totaling 106 students. Data collection used a closed questionnaire method consisting of 4 groups of questions representing aspects of participation in online lectures, the use of online media/online learning applications, the choice of using online learning applications, and barriers to online learning. The research data were analyzed using descriptive quantitative analysis of the percentage technique directly from the google form.The results showed that 94.3% of students took online learning in Regional Language courses at elementary school from home, 88.7% of students used data packages during online lectures, 91.5% of students had moderate internet signal conditions, 96.2 % of students choose cellphones as the media that are often used, 86.8% of students prefer to use google classroom than googlemeet during online learning, 50% of students can understand the material provided, 89.6% of students complain about internet network problems as an obstacle in online learning, and 95, 3% of students expect lectures to be held online and offline during the Covid-19 pandemic.
Usage of Digital Learning Tools to Engage Primary School Students in Learning

The article focuses on the usage of digital learning tools by primary school teachers in order to enhance student engagement in learning. Based on the data obtained in the focus groups of educators teaching at primary school, ways to identify and enhance student engagement in learning through digital learning tools were identified. The analysis of the research data proved that the use of the said tools enhanced students’ cognitive, emotional and behavioural engagement in learning. To this end, teachers reconstructed common educational practices, anticipated the hindrances to engagement caused by digital technologies and the ways to overcome them, exploited the opportunities provided by digital learning tools, and applied effective means to ensure classroom management and interaction between students. To conclude, the enhancement of learners’ engagement in learning required effective teaching and learning strategies, innovative methods, and apt and value-based organisation of the educational process.
Gaussian Projection Deep Extreme Clustering and Chebyshev Reflective Correlation based Outlier Detection

Outlier detection or simply the task of point detection that are noticeably distinct and different from data sample is a predominant issue in deep learning.When a framework is constructed, these distinctive points can later lead to model training and compromise accurate predictions.Owing to this reason, it is paramount to recognize and eliminate them before constructing any supervised model and this is frequently the initial step when dealing with a deep learning issue.Over the recent few years, different numbers of outlier detector algorithms have been designed that ensure satisfactory results.However, their main disadvantages remain in the time and space complexity and unsupervised nature.In this work, a clusteringbased outlier detection called, Random Projection Deep Extreme Learning-based Chebyshev Reflective Correlation (RPDEL-CRC) is proposed.First, Gaussian Random Projection-based Deep Extreme Learning-based Clustering model is designed.Here, by applying Gaussian Random Projection function to the Deep Extreme Learning obtains the relevant and robust clusters corresponding to the data points in a significant manner.Next, with the robust clusters, outlier detection time is said to be reduced to a greater extent.In addition, a novel Chebyshev Temporal and Reflective Correlation-based Outlier Detection model is proposed to detect outliers therefore achieving high outlier detection accuracy.The proposed approach is validated with the NIFTY-50 stock market dataset.The performance of the RPDEL-CRC method is evaluated by applying it to NIFTY-50 Stock Market dataset.Finally, we compare the results of the RPDEL-CRC method to the state-of-the-art outlier detection methods using outlier detection time, accuracy, error rate and false positive rate evaluation metrics.
Aplikasi Customer Relathionship Management Untuk Klasifikasi Pelanggan Menggunakan Algoritma C4.5

The Tutoring Institute (LBB) is a business service that is growing in Indonesia, the number of existing competitors greatly affects to customers number who use these tutoring services, so great strategies are needed to attract new customers or retain old customers. To select customers that eligible for the promo package provided by LBB, an application is needed that can accommodate the classification needs of which customers are eligible or not to get the promo. To overcome this problem, it is proposed to build a customer relationship management application with the implementation of the C4.5 algorithm which has a classification function in data mining method. Based on the analysis, data processing, and testing that has been done; it is concluded that the implementation of the C4.5 algorithm is suitable for use in case studies taken with an average accuracy value of 86%. In addition, it is also concluded that the more data used in the training process affects the level of system accuracy, this is evidenced by two tests using different amounts of training data.
Sinergi Kartu Indonesia Pintar dan Bidikmisi Sebagai Motivasi Studi Lanjut Bagi Siswa Sekolah Menengah Atas

This community service activity focused on efforts to increase the motivation and spirit of high school graduates in the Tuban Regency for further studies in higher education. This activity was both online and offline. In the initial stage, students give motivated by the importance of higher education for a better future. Then a potential measurement test was also conducted to obtain an overview of students' motivation and potential for further studies. The next stage is a socialization of the Bidikmisi program and services with the Indonesia Smart Card (ISC) for Lectures and various financing schemes. The results of the potential measurement test showed that students' motivation and fighting power were in the range slightly above average. This shows that students' motivation and fighting power are not yet strong as capital to compete and face challenges when studying. Therefore, students' enthusiasm and motivation need to be improved, and reminded continuously that motivation is an important factor for someone to achieve their dreams. This activity also supports efforts to achieve sustainable development goals (SDGs), namely SDG1: No Poverty, SDG4: Quality Education, and SDG10: Reduced Inequalities.
Open and Competitive Multilingual Neural Machine Translation in Production

This report presents the results of an Estonian governmental project, which aimed to create open-source machine translation systems for Estonian.The project's goal included six translation directions translating between Estonian and English, German and Russian, and five text domains -general domain, spoken language, legal, military and crisis texts.The project results include 1) openly distributed parallel and monolingual corpora for the relevant languages, 2) open-source neural machine translation systems trained on them, and 3) new public evaluation benchmarks.The automatic evaluation shows that the resulting systems are highly competitive and match or surpass the performance of other available online machine translation systems.We present the recipe for training such systems and other details and discuss interesting findings made in the process.A live translation demo of the resulting systems (also open-sourced) is available online.
Orchestration systems as container management tools

The report discusses orchestration technologies for automated deployment, management and scaling of containerized applications. The paper presents a number of the best solutions for creating container orchestration tools and services that are widely used in the production environment, such as KUBERNETES, OPENSHIFT, ROCHER. DOCER SWARM.
Sistem Informasi Penjualan Obat Berbasis Web Pada Apotek Khodijah

Khodijah Pharmacy is one of the business organizations or corporate agencies engaged in the pharmaceutical sector that sells medicines, both prescription and over-the-counter drugs. The operational activities carried out at the Khodijah Pharmacy are still carried out conventionally, which consist of recording sales, recording drug purchases to suppliers, recording drug stocks, recording pharmacy revenues and making reports that are still written on a piece of paper. Operations carried out conventionally often have problems such as torn paper, errors in recording sales, recording drug purchases to suppliers, recording drug stocks, recording pharmacy revenues, and errors in reporting so that the owner does not get valid information and can result in losses to consumers. Khodijah Pharmacy. From the problems faced can be solved by building a web-based drug sales information system. The purpose of making this web-based drug sales information system is to provide convenience in carrying out operational activities at Khodijah Pharmacy. The method that the author uses in making this web-based drug sales information system is to use the prototype method, while making this website the author uses the CodeIgniter Framework and also Boostrap. For testing the author's website using Black Box Testing. The resulting drug sales information system provides convenience in carrying out operational activities at Khodijah Pharmacy.
ANALISIS PERBANDINGAN KATA BANTU BILANGAN INDIVIDUAL BAHASA MANDARIN DENGAN KATA BANTU BILANGAN INDIVIDUAL BAHASA INDONESIA

The number of Chinese noun quantifiers is very rich, and the usage is very complicated. Different nouns have different matching quantifiers. This situation makes Indonesian students prone to errors when learning quantifiers. Therefore, this article tries to compare Chinese individual noun quantifiers with Indonesian corresponding individual noun quantifiers. This article compares and analyzes one-to-one, one-to-many and many-to-one individual noun quantifiers and finds the similarities and differences between Chinese and Indonesian individual noun quantifiers.
The Implementation of Web-Based Financial Statements Application in Islamic Education Foundations

Islamic Education Foundation is a non-profit entity consisting of MA, MTs, Vocational Schools, Foundations, and Islamic Boarding Schools. This study aims for a web application that can be used in the financial data processing of the Al-Mujaddadiyyah Islamic Education Foundation replacing manually. The application is designed using the waterfall development method. The application was tested on several browsers and tested by the foundation consisting of the chairman of the foundation, the MTs admin, the MA admin, and the SMK admin. This application makes it easy in the process of reporting financial statements. The features contained in the application include administration management, donations, financial reports, student data, and employee data. Financial statements are divided into statements of financial position, activity reports, and cash flow statements.
Modified International Toastmaster Approach to Improve Public Speaking Competence

Competency Based Education is very much needed in the era of the industrial revolution 5.0 and the determination of Toba Caldera as a UNESCO Global Geopark provides opportunities, encourages economic and sustainable development, requires skilled worker who has various competencies in a field of work. This competency improvement is also the outcomes of Independent Learning-Independent Campus. This research was the type of online survey tools associative research conducted factual information to obtain the truth. Online Survey Tools Research generally uses a google form as questionnaire instrument filled out by participants used certain methods. (Vasanta Raju 2018). Modified International Toastmaster model, testing and evaluating the model created by the Public Speaking training program involving 30 students of the English Literature Department Universitas Negeri Medan. The findings related to competence using the 10 Toastmaster International project speech delivery have shown at the pie chart (see figure 3.1 to 3.10). Modified International Toastmaster is associated with the six tasks models of Indonesian National Qualification Framework called KKNI to maximize the improvement of various competence in public speaking.
Development Of Evaluation Media Spinning Question For Reading Skills For Seventh G raders At MTsN 2 Padang

The teacher uses the old evaluation Media, in the digital age learning evaluation cannot be separated from the impact of technological development, as one of the modern evaluation Media is Spinning Question. This research is a development research with 4D model which consists of four steps, namely; definition, design, development, and deployment. However, the researcher limits the development procedure in terms of assessing media based on experts in terms of media and languages. The development procedure in this research is; the development needs analysis stage, namely the analysis 2013 Curriculum, student book, the form of questions used and analysis of the needs of Arabic teachers and students. The results of the data obtained show a rating of "Excellent" in the sense that the development of this media is very much needed. Then the planning stage; starting from writing a grid of questions, writing question and making evaluation media on Spinning Question. After you have finished making your Spinning Question evaluation media product, proceed to the development stage, namely; with expert verification, product modification and final production. The media validation results show a "Very Good" rating, which means that Spinning Question can be used in evaluation reading skills for seventh graders in Islamic Junior High School two Padang
Message from the ISMAR 2022 Demos Chairs

It is our great pleasure to present the Demos program for the 21st IEEE International Symposium on Mixed and Augmented Reality. In this fast-evolving field of XR, it is particularly important for researchers to share their first-hand experiences of new methods, and system development approaches. The Demos session is an open forum where researchers from different backgrounds bridge the boundaries between art and technology and form new collaborations.
TECHNOLOGY-BASED MEDIA USED IN TEACHING LISTENING SKILLS

This paper shows the effectiveness of technology-based media designed for listening skills. The effectiveness of different technology-based media is gaining importance to students and teachers. They are the main subjects in this paper because the problem that arises at school where learning English as their second language addresses the decreased potential for the succession of learning. This study mentioned the difficulties in English as they struggle to reach success learning even there are other materials to use, like media belonging to not technology-based. That is why technology-based media was introduced to students and teachers. The researchers on different studies have taken by the chosen media recognized the ability to listen for the learning of students and the teaching of teachers in their language learning. Listening could increase the potential of learning English by hearing it through devices played by technology. The paper highlights five media for listening skills that are operating through technology. They involve mobile-based media, multimedia technology, radio news, podcast application, and mobile-based audiobooks. All of them result in the practical listening skills of teachers and primarily to students.
Improving Few-Shot Object Detection through a Performance Analysis on Aerial and Natural Images

Object detection models require a large amount of annotated data during training, making their deployment for real-world tasks difficult. Few-Shot Object Detection (FSOD) aims to solve this shortcoming by training object detection models from limited data. However, existing methods mostly focus on natural images such as MS COCO and Pascal VOC datasets. In this paper, we study FSOD on aerial images. At first glance, performance seems to decrease compared to natural images with similar datasets (i.e. same number of images and classes). We perform an in-depth analysis to understand the performance discrepancies between natural and aerial images. In the light of this analysis, we propose several improvements to boost the detection quality on aerial images: new data augmentations for object detection, and new support cropping strategies. These modifications increase the mAP by approximately 5% on average.
Security operation center and its future advancements

Tacit knowledge can be recognized as a term used earlier to expedite solving a problem in medicine. Certain individuals can use tacit knowledge to provide quick resolution in case of a medical emergency in the present or the future. However, this term lacks when we move towards the industries working in Information Technology (IT). In this paper, we analyzed the concept of tacit knowledge and how the joint relationship and trust factor can improve the effectiveness of Security Operation Centers (SOC).This paper aims to identify the solution tothe questions above, understanding how various SOC analysts perceive a particular threat incident. How one identifies the incident’s solution and what can be learned or absorbed from a particular activity. A joint relationship is one such example where the success rate of completing a project is much higher. We also looked at how simulation areas/environment and spatial touch with different vendors and analysts would promote tacit SOC information across different communication media.
I. A. Bunin’s litters: extra-textual reality

Пометы И. А. Бунина: внетекстовая реальность - Institutional repository of Federal State Autonomous Educational Institution of Higher Professional Education Ural Federal University named after the first President of Russia B.N.Yeltsin
Exploring Game Balance in the Scandinavian Fox Game with Monte-Carlo Tree Search

This paper explores if Monte-Carlo Tree Search (MCTS) can perform well in Fox Game, a classic Scandinavian strategy game. MCTS is implemented using a cutoff in the simulation phase. The game state is then evaluated using a heuristic function that is formulated using theoretical arguments from its chess counterpart. MCTS is shown to perform on the same level as highly experienced human players, using limited computational resources. According to popular belief, as can be seen in online forums, the asymmetry in Fox Game leads to imbalances which favors the foxes. However the experiments in this paper show that, contrary to popular belief, it is the sheep that are favored, and quite heavily so. It is also shown that the game can be made more balanced by reducing the number of sheep at the start of the game from 20 to 18.
ON FIRST PERSON

These memoirs of Lyudmila Glebovna Borisova were published in the journal “Education and the addition of education” after her departure. At the request of the chief editor of the publication L.I. Borovikov were prepared by the author as an article “Pedagogy of Creativity and the Sociology of Education” under the heading “Life of Great Ideas”.
A Multi-variant Execution Environment for Securing In-memory KVSes

The multi-variant execution environment (MVEE) is useful to protect software against network attacks by executing and monitoring the multiple instances (variants) of the target software in a synchronized manner. Applying MVEEs to in-memory key-value stores (KVSes), often written in unsafe languages like C, such as Redis and Memcached, enhances the security of web services since they suffer from memory vulnerabilities. However, it does not come for free to run in-memory KVSes on MVEEs. Since in-memory KVSes store a tremendous number of KVs in their own address spaces, the memory space overhead of executing multiple variants of the in-memory KVS is non-trivial. This paper presents MvKVS, an MVEE system tailored for in-memory KVSes. To launch multiple variants of the target in-memory KVS, MvKVS lowers the total memory utilization of the variants as much as possible by aggressively merging shareable memory pages. We prototyped MvKVS in Linux 4.4.185 and conducted experiments using Redis 6.2.4. The experimental results show that our prototype gracefully mitigates memory consumption with multiple Redis variants.
Ngeteh: Responsive website for street vendors

People’s desire for a local light snack or also known as ‘gorengan’ made them go all the way to their favourite stalls to quench their craves. But it is frustrating once they are at the stall, but it is closed for the day. Many of us has this experience, right? Not just waste of time, it is also waste of fuel and energy. Thus, the purpose of this project is to develop a responsive website named ‘Ngeteh’ so that the public is informed on the business hour of the said road merchant, besides their contact information. The goal is to build up a versatile well-disposed site of constant road merchants in helping the street vendor with their own personal web presence while informing the public about their operating hours. This responsive website will also be utilized by the business owner to update the status of their stall on that day whether they are open or not for the day. This study will be utilizing Agile technique, where the strategy is centered around experimentation structure. Convenience testing technique is utilized during data collection in which 32 surveys are circulated to the respondents. The data gathered were then will be examined and analysed to see if the responsive website meet the user’s requirements. With the presence of this website, the users will have more certainty to go to their stalls to fulfil their craves, and the road sellers will be ready.
Study of Language Features Used by Male and Female in #SaveJohnnyDepp on Instagram and Twitter

This study aims to determine the language features used by male and female in social media, especially Instagram and Twitter. The data used in this study are based on ten characteristics of women's language features which presented by Robin Lakoff in her book entitled Language and Women's Place. This study also uses an additional theory about the characteristics of men’s language which is presented by Jennifer Coates as a supporter of the main theory. The data collected comes from Instagram and Twitter posts containing hashtag #SaveJohnnyDepp. The results showed that male and female users use the same language characteristics, but the frequency is slightly different. The difference lies in the focus of the topics discussed and the use of language features proposed by Lakoff and Coates. This study also found that the purpose of using #SaveJohnnyDepp on Instagram and Twitter both male and female users is to provide support and ask for the justice that Johnny Depp deserves.