Reviewerly/exHarmony huggingface dataset:
Peramalan Harga Emas Saat Pandemi Covid-19 Menggunakan Model Hybrid Autoregressive Integrated Moving Average - Support Vector Regression

ABSTRAKInvestasi emas merupakan salah satu investasi yang menjadi favorit dimasa pandemi Covid 19 seperti sekarang ini. Hal ini dikarenakan harga emas yang nilainya relatif fluktuatif tetapi menunjukkan tren peningkatan. Investor dituntut pandai dalam berinvestasi emas, mampu memprediksi peluang dimasa yang akan datang. Salah satu model peramalan data deret waktu adalah model Autoregressive Integrated Moving Average (ARIMA). Model ARIMA baik digunakan pada data yang berpola linear tetapi jika digunakan pada data data nonlinear keakuratannya menurun. Untuk mengatasi permasalahan data nonlinear dapat menggunakan model Support Vector Regression (SVR). Pengujian linearitas pada data harga emas menunjukkan adanya pola data linear dan nonlinear sekaligus sehingga digunakan kombinasi ARIMA dan SVR yaitu model hybrid ARIMA-SVR. Hasil peramalan menggunakan model hybrid ARIMA-SVR menunjukkan hasil lebih baik dibanding model ARIMA. Hal ini dibuktikan dengan nilai MAPE model hybrid ARIMA-SVR lebih kecil dibandingkan nilai MAPE model ARIMA. Nilai MAPE model hybrid ARIMA-SVR sebesar 0,355 pada data training dan 4,001 pada data testing, sedangkan nilai MAPE model ARIMA sebesar 0,903 pada data training dan 4,076 pada data testing.ABSTRACTGold investment is one of the favorite investments during the Covid 19 pandemic as it is today. This is because the price of gold is relatively volatile but shows an increasing trend. Investors are required to be smart in investing in gold, able to predict future opportunities. One of the time series data forecasting models is the Autoregressive Integrated Moving Average (ARIMA) model. The ARIMA model is good for use on linear patterned data but if it is used on nonlinear data the accuracy decreases. To solve the problem of nonlinear data, you can use the Support Vector Regression (SVR) model. The linearity test on the gold price data shows that there are linear and nonlinear data patterns at the same time so that a combination of ARIMA and SVR is used, namely the ARIMA-SVR hybrid model. Forecasting results using the ARIMA-SVR hybrid model show better results than the ARIMA model. This is evidenced by the MAPE value of the ARIMA-SVR hybrid model which is smaller than the MAPE value of the ARIMA model. The MAPE value of the ARIMA-SVR hybrid model is 0.355 on the training data and 4.001 on the testing data, while the MAPE value of the ARIMA model is 0.903 in the training data and 4.076 in the testing data.
FORMATION OF COMPUTING SKILLS IN PRIMARY SCHOOL STUDENTS IN CONDITIONS OF DEVELOPMENTAL LEARNING

Introduction. The process of mastering the content of computing activities and the formation of computing skills on its basis is a complex and lengthy process. For this process to be more successful, it must be consistent with the objective laws of knowledge acquisition and the laws of psychic, in particular, mental development. In the conditions of modern education there is a search for the most effective forms of education to which scientists include developmental training. Purpose. Identi- fy effective ways to develop computing skills in primary school students. Methods. Analysis of psychological and pedagogical, mathematical, educational and methodical literature, legislative and regulatory documents governing the system of primary education; generalization of theoretical and experimental data. Results. Theoretical principles of developmental learning from the point of view of activity theory are covered. There is a difference between the process of forming computing skills in the traditional system of education and the system of developmental learning. Characteristic features of systems of L. Zankov, V. Davydov and D. Elkonin, N. Istomina are noted. As a result of the analysis, effective strategies for the formation of computing skills in primary school students are named. It is established that in developmental learning a significant role is given to the acquisi- tion of theoretical knowledge for the general development of students. Originality. Based on the analysis and comparison of the author’s systems of developmental learning, effective strategies for the formation of computing skills in primary school students in modern conditions of development of new methods are determined. Conclusion. It was found that the development of a program in mathematics, taking into account the concept of developmental learning, should be based on understanding the nature of the relationship between psychic development of students with the content of acquired knowledge and skills. The very order of presentation of the material should correspond to the general logic of building a course taking into account the psychological and neurophysiological characteristics of primary school students.
The ascent to methodology (To the prehistory of Moscow Methodological Circle)

The paper is about the roots of one of the most impressive phenomena of Russian XX century thought, the Moscow Methodological Circle (MMC) for almost forty years led by G. P. Schedrovitsky. It is based on three hypotheses: (1) the development of the school took place as constructivization, operationalization and instrumentalization of Hegelian and Marxian logic the return to serious study thereof in the Soviet philosophy was connected to the name of E. V. Ilyenlov, (2) the key role in this movement was played by the thesis of A. A. Zinovyev on the “method of ascension from abstract to concrete” in the Capital by K. Marx, and (3) the main novelty of Zinovyev was his rejection of the principle of identity of thought and being, which is a sort of second (after Kant) “Copernican revolution” in thinking. The main body of the paper is a synopsis of the first chapter of the mentioned thesis of Zinovyev with our comments showing how seminal ideas of Zinovyev develop into a huge tree of the methodology of Schedrovitsky and the MMC. There is a comprehensive list of texts by Schedrovitsky, published and archival, which should be further studied to reconstruct the history of the MMC. In the end of the paper one of the controversial question is discussed – on the nature of an act of thinking (based on the texts by V. V. Davydov, a psychologist of the same mental circle, and on comments to it by Schedrovitsky).
Developing G-Smartive (Getting Smart in Narrative) Multimedia as an Aid to Learn Reading of Narrative Text for Tenth Graders of Vocational High School

This study aims to develop the appropriate learning multimedia named G-Smartive (Getting Smart in Narrative) that provides the interesting components, learning materials, and applies game-based learning. It uses as aid to learn reading especially narrative text for tenth graders of Vocational High School. The method of this study was developmental research model purposed by Borg &amp; Gall (2003). The steps were need analysis, product development, expert validation, first revision, product try-out, final revision, and final product. The participant of this study was X KJB students in SMK PGRI 3 Malang. The instruments used were need analysis questionnaire, validation sheet, and questionnaire for product try-out. The data was analysed quantitatively. Regarding the result of need analysis and document analysis, G-Smartive presented three main materials which were reading comprehension, language feature, and vocabulary category. The result of validation showed that G-Smartive was suitable and appropriate to use for tenth grade students, but it needed some revisions. The research finding showed that all the aspects were in good category. The product also got the positive response from the students. G-Smartive gave contributions in supporting language learning, increasing the students’ language proficiency, and making the process of acquisition easier, and more interesting.
Generic Study of the High Impact Factor Articles of Social Sciences

The conclusion section of the article is an essential part as it is the last chance and to conclude the article. But this very essential part of the article was usually considered a part of the Discussion section of a research article, the one exception being Yang and Allison's (2003) study of the final section where they found conclusion as part-genre. For current research, the researcher randomly chose 15 high impact factor research articles across three different disciplines from social sciences. All the conclusion sections were selected from high impact factor research articles, published between 2008 and 2013. A Four-move model adapted from Yang and Allison (2003) and Bunton (2005) models are used to analyze the selected corpus for the current research. The analysis shows that there is an agreement between both corpora in classifying the moves as obligatory or optional. While Move 1, summarizing, and Move 2, evaluating, are obligatory, Move 4, future research is conventional; however, there is a difference in Move 3. M3, practical implications are optional in social sciences research articles. However, there are also several variations between the conclusion section in the corpus and the suggested model of analysis. The study concludes that these variations between the conclusion and the proposed model indicate that writers should choose the moves that best serve their purposes rather than including all the moves.
The Chinese Students' Digital Competencies Formation in the Educational Space of the Russian University

In the past two decades, in the context of internationalization of higher education, the formation of a digital society in Russia and overseas the requirements for higher education have changed significantly. Digital skills and competencies should be acquired by a person in the education system, so the role of higher education and learning in general is growing. The Chinese students’ influx to the Russian universities is increasing, which presents a challenge for the Russian universities to develop the digital skills of the Chinese students demanded on the global labor market. The main objectives of the study were to determine the basic digital competencies that Chinese students need to form in the process of training at the Russian higher school. The study was conducted at three universities in Yekaterinburg. The research methodology combined both qualitative and quantitative approaches. The primary data was collected using questionnaires and in-depth interviews. 500 Russian and 500 Chinese students were questioned on the basis of quota sampling. In-depth interviews with 50 experts were conducted. The study has revealed the basic digital competencies required by Chinese students. They include: the ability to quickly respond to the intensification of ICT development, the ability to independently master and create innovations, the ability to work in network organizations with a decentralized management system (including Russian-Chinese), the skill of continuous self-education, the skill of self-study situation analysis and the skills of operational decision making. The research has found that in modern Russia there is a need to coordinate interstate, regional and university levels of innovative educational cooperation between Russia and China, to train Russian highly qualified specialists for the implementation of bilateral digital educational cooperation and to increase the financial component of the innovative development of the Russian-Chinese educational cooperation.&#x0D; Keywords: digitalization of higher education, digital competencies, Chinese students, the educational space of the Russian university, the interaction of the Russian and the Chinese higher schools
Interaction of Higher Education and Employers As a Competitiveness Factor of a University

The labor market constantly demands qualified personnel and increases the requirements for graduates of educational establishments. In order to train a competitive young professional, universities seek modernization of various kinds and implement it in the educational process. Dual form of education is one of these efforts undertaken by educational institutions. The article presents the results of the semantic analysis of the dual education concept, an analysis of the stakeholders’ roles in the system of higher education with a large emphasis on the role of the employer, statistical data collection, and the main advantages and disadvantages of the dual approach to the educational process organization. The aim of the study is to analyze experience of dual education development in Germany, where it is regulated at the legislative level. The main advantages of dual education are identified: establishing practice-oriented training system, involving motivated employers in the training process and educational programs designing, alternating the theoretical and on-the-job training, and reducing the costs associated with personnel selection and adaptation. The study has developed a generalized process model for the implementation of the project ”Introduction of the dual form of education in an educational organization”. According to the proposed model, the first stage includes developing normative acts regulating dual education training, forming a team of mentors, and selecting students. At the second stage, the authors propose to distribute the contact work as follows: 60% for theoretical training and 40% for production-based. The final stage is devoted to the evaluation of the of the dual education system implementation effectiveness. The model was tested for the Novouralsk Institute of Technology — branch of the National Research Nuclear University MEPhI. The study presents a stage-by-stage description of the model and examines examples of the education dual form positive effects at the university, as well as considers emerging “noises”.&#x0D; Keywords: dual education, professional training, educational system
Developing Android-Based Game for L2 Learners in Language Knowledge

The purpose of this study is to develop an android-based game for learning language knowledge material which includes Indonesian sound, vocabulary, and grammar because until now, there is no learning media that can be used by L2 learners in learning language knowledge.This developed product is aimed at Indonesian language for foreign speakers (Bahasa Indonesia untuk Penutur Asing/BIPA) learners.This research was conducted using Huang & Soman's development model which consists of five stages, namely (1) understanding the target audience and the context, (2) define learning objectives, (3) structuring the experience, (4) identifying resources, and ( 5) applying gamification elements.The product developed has been validated by expert validation and validated by practitioner validation.The results showed that the product developed was feasible to be implemented with an average score of 87%.
InnovFaceNet: Deep Face Recognition for Industrial Environments

In recent times the usage of intelligent systems have paved way formany applications to be robust and self-reliant. One such popularand vast growing technology is face recognition. Facial Recognitiontechnology is used in security, surveillance, criminal justice systemsand many other multimedia platforms. This work proposes a realtime facial recognition technology which can be used in any industrialsetup eliminating manual supervision, ensuring authorized accessto the personnel in the plant. Due to the recent development ofCOVID-19 pandemic around the world, wearing masks has becomea necessity. Our proposed facial recognition technology identifies aperson’s face with mask or no mask in real time with a speed of20 FPS on a CPU and an F1-score of 95.07%. This makes ouralgorithm fast, secure, robust and deployable on a simple personalcomputer or any edge device at any industrial plant or organization.
One Single Click is enough – an Empirical Study on Human Threats in Family Firm Cyber Security

The present study focuses on the tension between human versus technical risks in German companies.It examines how employees counter cybercrime and how this affects the company.Aim is to analyze human threats in family businesses and to create opportunities to use the human factor as an opportunity in the context of technological change.For this, an empirical study among 184 German firms was conducted.In general, the results demonstrate an insufficient awareness of the topic in the companies.Although companies are aware of the need for trained employees, there is a backlog of demand for workshops and awareness raising.Employees are detected as the main security risk, especially in family businesses.Better employee training is therefore indispensable.However, even training courses cannot prevent employees from making mistakes in the area of cyber security.Therefore, it can be emphasized that additional organizational security measures are necessary.
Clusterization of customer energy usage to detect power shrinkage in an effort to increase the efficiency of electric energy consumption

&lt;span&gt;Automatic meter reading (AMR) is a reading system result the measurement of electrical energy consumen, both locally and remotely. The problems faced is the high non-technical shrinkage of AMR customers due to installation, maintenance errors as well as dishonest actions some consumers, this has a major influence on electrical power losses. PT. PLN Disjaya currently faces difficulties having to choose which customers should be checked first, so the field can only find a little damage. The K-means method based on historical electric power usage and determine the most optimal number of groups the davies-bouldin index (DBI) method. Based on the results of testing with 2-6 sets of clusters, the cluster set results are the most optimal is set cluster 4 because it has the smallest DBI value 0.893. The set of 4 clusters has the best performance in data grouping of historical power usage of AMR customers the business class, each centroid of each cluster is used as an attribute and value of the AMR customer power usage business chart. The testing phase is customers who categorized as customers with un-normal usage electricity power. The test is, by determining the distance data testing each centroid in the cluster 4 set.&lt;/span&gt;
Perancangan Sistem Informasi Persediaan Barang menggunakan metode RUP (Studi Kasus PT Medical Device Indonesia)

PT Medical Device Indonesia is a company in the distribution of books and medical devices. In the data processing specially the inventory section it used manual way. It made owner and employees of PT. Medical Device Indonesia become overshelmed in data management, so there is a need for a system to simple the inventory process. The study aims to analyze and design a web based inventory information system, so that the data is more accurate and minimizes errors in data processing. The method used in system development is using the RUP (Rational Unified Process) methodology as making observations and interviews with the parties involved. For the system design method using the Object Oriented Analysis and Design method using UML such as usecase diagrams, activity diagrams, sequence diagrams. The results of this system are the users are able to manage product easily, perfoming complete transaction and process the reports completely.
An Efficient and Adaptive Framework to Access Heterogeneous Health Information Sources

In health informatics, the need for a consistent and integrated view of distributed and heterogeneous information sources is inevitable. Healthcare, medical education and research could benefit of integrating medical information of patients or about a disease, a treatment or side effects of a drug. This article proposes a flexible incremental update method for the materialized part of the integration system. It permits us to manage the integration system according to the characteristics of the data sources, which can be changed. We present a hybrid data integration approach.In this approach the materialized part of the system in mediator is the object indexation structure based on an instance classification of the sources objects which correspond to the global schema. The object identifier of each object in the indexation structure is materialized together with the attributes which are needed for the incremental updating of this indexation (classifying attributes).
A High-Speed Parallel FPGA Implementation of Harris Corner Detection

Harris corner detection is a common operation in the field of image processing, but suffering from computation complexity in embedded system. The current method of corner detection is to process one pixel in one clock cycle. With the improvement of image acquisition method in modern society, higher processing speed requirements have been proposed for the implementation of corner detection. This paper presents a new pixel-level parallelism FPGA implementation for Harris corner detection, which double the processing speed or more with almost no decreasing in accuracy. It is implemented on FPGA in the high-speed camera, and the experimental results show that the implementation is suitable for real-time applications.
Development of E-Module Android Based on Basic Competence to Apply Plantation Results in SMK PPN Lembang

Student Learning Resources XI Agribusiness processing agricultural products (APHP) SMK PPN Lembang is still very limited, causing learners do not have a handbook for independent study.There are 56% of learners get a value less than the minimum submission criteria (KKM) on material applying rubber plantation, coconut, palm oil caused by the less interesting learning processes that only uses PowerPoint media, and inserted some video.The purpose of this research is to develop learning media, know the feasibility of learning media, and know the learning outcomes of students after conducting an android-based e-module product trial.The development of this learning media uses ADDIEs development model (analyze, design, development, implementation, evaluation).The software used to produce the products of this Android-based e-module application is Microsoft PowerPoint, iSpring, Canva, website 2APK, and Java set up.The results of this study showed that this android-based e-module learning media was "very decent" by the media experts, and was declared "feasible" by material experts and linguists.Respondents stated that the learning media was "very worthy" to be developed.
Operational Semantics with Hierarchical Abstract Syntax Graphs

This is a motivating tutorial introduction to a semantic analysis of programming languages using a graphical language as the representation of terms, and graph rewriting as a representation of reduction rules. We show how the graphical language automatically incorporates desirable features, such as alpha-equivalence and how it can describe pure computation, imperative store, and control features in a uniform framework. The graph semantics combines some of the best features of structural operational semantics and abstract machines, while offering powerful new methods for reasoning about contextual equivalence. All technical details are available in an extended technical report by Muroya and the author and in Muroya's doctoral dissertation.