Reviewerly/exHarmony huggingface dataset:
Forecasting Stock Price PT. Telkom Using Hybrid Time Series Regression Linear– Autoregressive Integrated Moving Average Model

The hybrid method is a method of combining two forecasting models. Hybrid method is used to improve forecasting accuracy. In this study, the Time Series Regression (TSR) linear model will be combined with the Autoregressive Integrated Moving Average (ARIMA) model. The TSR linear model is used to obtain the model and residual value, then the residual value of the TSR linear model will be modeled by the ARIMA model. This combination method will produce a hybrid TSR linear-ARIMA model. The case study in this research is stock closing price (daily) of PT. Telkom Indonesia Tbk. The stock closing price (daily) of PT. Telkom Indonesia Tbk in 2020 showed an decreasing and increasing trend pattern. The results of this study obtained the best model of hybrid TSR linear-ARIMA (2,1,1) with the proportion of data training and testing is 70:30. In the best model, the MAD value is 56.595, the MAPE value is 1.880%, and the RMSE value is 78.663. It is also found that the hybrid TSR linear-ARIMA model has a smaller error value than the TSR linear model. The results of forecasting the stock price of PT. Telkom Indonesia Tbk for the period 02 January 2021 to 29 January 2021 formed a decreasing trend pattern.
Knowledge Engineering

Knowledge engineering refers to all technical, scientific and social aspects involved in designing, maintaining and using knowledge-based systems. Research in this domain requires to develop studies on the nature of the knowledge and its representation, either the users’ knowledge or the knowledge-based system’s knowledge. It also requires the analysis of what type of knowledge sources is considered, what human-machine interaction is envisaged and more generally the specific end use. To that end, knowledge engineering needs to integrate innovation originating from artificial intelligence, knowledge representation, software engineering as well as modelling. This integration enables both users and software systems to manage and use the knowledge for inference reasoning. Other advances are fuelling new methods, software tools and interfaces to support knowledge modelling that are enabled by conceptual or formal knowledge representation languages. This chapter provides an overview of the main issues and major results that are considered as milestones in the domain, with a focus on recent advances marked by the raise of the semantic web, of ontologies and the social web.
Quality of Life and its Relation with Psychological Loneliness and Depression Among the Teachers of the Ministry of Education in Ajloun Province- Jordan: جودة الحياة وعلاقتها بالوحدة النفسية والاكتئاب لدى معلمي وزارة التربية والتعليم في محافظة عجلون- الأردن

This study aimed to identify the quality of life and its relationship to psychological unity and depression among teachers of the Ministry of Education in Ajloun Governorate, and the study used the descriptive analytical approach, the study population consisted of teachers of the Ministry of Education in Ajloun Governorate, the study sample consisted of (387) teachers in The Ministry of Education in Ajloun Governorate, they were randomly selected, and to achieve the goals of the study, the researcher designed a questionnaire as a tool to collect data from members of the study sample, and the study reached the most important results: The study showed: There is an average degree in the level of quality of life for teachers of the Ministry of Education in the province Ajloun, the presence of an average degree in the level of psychological unity among the teachers of the Ministry of Education in Ajloun Governorate, the presence of a degree of level of depression among the teachers of the Ministry of Education in Ajloun Governorate, and the study also showed an inverse relationship between the quality of life and psychological Loneliness, and the existence of an inverse relationship between the quality of life and depression, Based on the results, the study recommended the following: Developing a system of rewards and incentives for advertisers to improve their living conditions, to satisfy their needs in order to reach a neighborhood Ah good. Reducing the academic burden and other activities by increasing the number of teachers in schools, reducing the administrative tasks assigned to teachers, especially new teachers, and developing training and qualification programs for them to be better able to face psychological unity and depression, conducting more studies on quality of life, psychological unity, and depression among teachers to reveal the extent of Its spread and its negative effects on the educational process.
Can we Help the Bots? Towards an Evaluation of their Performance and the Creation of Human Enhanced Artifact for Emotions De-escalation

We propose a hybrid intelligence socio-technical artifact that identifies a threshold where the chatbot requires human intervention in order to continue to perform at an appropriate level to achieve the predefined objective of the system.We leverage the Yield Shift Theory of Satisfaction, the Intervention Theory and the Nudge Theory to develop meta requirements and design principles for this system.We discuss the first iteration of implementation and evaluation of the artifact components."These mechanical slaves jump to our aid.As we step into a room, at the touch of a button, a dozen light our way... Another sits night and day at our automatic refrigerator.They start our car, run our motors, shine our shoes and curl our hair."-Jay Nash
ANALISIS RISIKO PORTOFOLIO MENGGUNAKAN METODE SIMULASI MONTE CARLO CONTROL VARIATES

Value at Risk (VaR) is a method to measure the maximum loss with a certain level of confidence in a certain period. Monte Carlo simulation is the most popular method of calculating VaR. The purpose of this study is to demonstrate control variates method as a variance reduction method that can be applied to estimate VaR. Moreover, it is to compare the results with the normal VaR method or analytical VaR calculation. Control variates method was used to find new returns from all stocks which are used as estimators of the control variates. The new returns were then used to define parameters needed to generate N random numbers. Furthermore, the generated numbers were used to find the VaR value. The method was then applied to estimate a portfolio of the game and esports company stocks that are EA, TTWO, AESE, TCEHY, and ATVI . The results show Monte Carlo simulation gives VaR of US$41.6428 within 1000 simulation, while the analytical VaR calculation or normal VaR method gives US$30.0949.
Understanding the Concept of Blockchain and Its Security

Blockchain has been a great topic of interest in the recent times and it has gained this because of the limitless possibilities it creates, and the main reason behind its popularity is the way it works. Blockchain is very useful to track records and digital transactions and due to this property this technology has been used in bitcoin. The chapter discusses about blockchain, bitcoin, and the pillars of security of blockchain. What are the techniques used to increase the security in a blockchain. What are the security concerns that it carries, since the technology is used in bitcoin and once the protocols are set, it becomes very difficult to manipulate them, so this compares that their robustness is very valuable and so is its security. So here, we will try to explain and discuss about blockchain, bitcoin, and its security.
PENGARUH MODEL QUANTUM TEACHING TERHADAP HASIL BELAJAR SISWA PADA PEMEBELAJARAN TEMATIK KELAS V DI SEKOLAH DASAR

This study is a quantitative study that aims to determine the effect of the Quantum Teaching learning model on student learning outcomes conducted at SD Negeri 106144 Sei Mencharim 2020/2021. This research method is descriptive method. The population of this study were all fifth grade students of SD Negeri 106144 Sei Menistrim which consisted of one class with a total of 30 students. The results showed that the Quantum Teaching model was included in the good category with an average of 80.7, the correlation coefficient was 0.705, which means that r_count (0.705) r_table (0.361), then h_a is accepted. Hypothesis testing shows that tcount &gt; ttable is 6.363 1.697, thus stating that h_a is accepted. It can be concluded that the Quantum Teaching learning model has an influence on learning outcomes Keywords: Learning Outcomes, Thematic, Quantum Teaching Model
INFORMATION AND COMMUNICATION TECHNOLOGIES IN PREPARING FUTURE TEACHERS TO WORK WITH GIFTED CHILDREN

The article substantiates the importance of organizing special training of future specialists of psychological and pedagogical profile to work with gifted children. It is emphasized that such children belong to the modern «Alpha generation», whose personal development from the first years of life takes place in the digital space, as well as that the use of information and communication technologies is an important factor in the successful organization of distance learning in higher education in solving the problem of forming innovative, creative, competent teachers of gifted children in particular. It was found out that the communication potential and interactivity of ICT provides the subjects of the educational process opportunities for creative communication, exchange of information, cooperation in performing common tasks, increase interest, deepen knowledge about the phenomenon of giftedness and development of non-cognitive qualities needed for future educators with gifted children. The methodical features of conducting lectures-visualizations on pedagogical disciplines with the use of electronic presentations aimed at forming in future educators components of readiness to work with gifted children are presented. The importance of electronic educational resources in expanding students' knowledge about various aspects of working with gifted children is shown. The experience of creating a virtual teacher's site «Teaching creatively» is presented, in which it is integrated the capabilities of online services in accordance with the didactic purpose, taking into account the age and individual characteristics of gifted children. The teacher's virtual website «Teaching creatively» has a clear structure, its creation involves the use of online services that allow you to design interactive tasks, provide feedback, record educational videos and conduct research. The main conclusion of the study is that the use of information and communication technologies, electronic educational resources in terms of distance / blended learning significantly improves the quality of training of future teachers to work with gifted children.
Counterparts, Essences and Quantified Modal Logic

It is commonplace to formalize propositions involving essential properties of objects in a language containing modal operators and quantifiers. Assuming David Lewis’s counterpart theory as a semantic framework for quantified modal logic, I will show that certain statements discussed in the metaphysics of modality de re, such as the sufficiency condition for essential properties, cannot be faithfully formalized. A natural modification of Lewis’s translation scheme seems to be an obvious solution but is not acceptable for various reasons. Consequently, the only safe way to express some intuitions regarding essential properties is to use directly the language of counterpart theory without modal operators.
Overripe Tempe Stock Prototype Development and Evaluation of Consumer Acceptance for Commercialization Preparation

Indonesia is experiencing a growth of sales in health and wellness packaged foods with more consumers aiming to adopt a healthy and balanced diet.Overripe tempe is traditionally used in Central Java as condiment, however it is not well known in other areas of Indonesia.Overripe tempe stock is a food product developed based on its practicality, flavor, and health benefit.In-depth-interview involving business, government, and user representative is used to evaluate the prototype readiness and required development.In accordance with the interview result, development of formula, brand, packaging label, and promotional material for commercialization preparation were conducted.The prototype was then evaluated for its acceptance to 126 women in Tangerang (Banten Province, Indonesia) using a home-use test.Questionnaires with the variable of sensory characters, packaging, and consumer characters are used to evaluate the defining factors that affect the consumer acceptance.More than 50% of respondents give "like" or "like very much" in response to the prototype.All variables affect the consumer acceptance, however the consumer character plays the most significant impact to the acceptance, especially knowledge about the overripe tempe usage in traditional culinary.The study shows promising potency of overripe tempe stock for further development toward commercialization.
Historical Hermeneutics of Musical Styles

The relevance of the study of the historical hermeneutics of musical styles is determined by the need to find a philosophical basis for changing the cultural paradigm and the desire to return classical canons to musical art in particular. The aim of the work is to analyse the characteristic features of the interpretation of musical styles in accordance with the principles of historical hermeneutics on the example of jazz music. The research was conducted in two stages on the basis of interdisciplinary, systematic and hermeneutical approaches using general scientific methods of cognition: analysis, synthesis, systematization, comparison and ascent from the abstract to the concrete. In the process of scientific research, the views of researchers on the interpretation and understanding of hermeneutics in the context of musical art were considered; a general characteristic of the hermeneutics of musical styles in accordance with historical and philosophical prerequisites was given; the main elements of the theoretical model of musical philosophy of interpretation, which include critical interpretation, the purpose of interpretation, compatibility with description and limitation by requirements were described; the author’s concept of interpretation of musical styles, formed at three levels, were proposed; the characteristics of the hermeneutics of jazz style, in particular the presence of musical improvisational discourse, historical duality, transcendentality of content and form, advertising integration are determined; the article summarizes the specifics of jazz in accordance with two components: the European harmonic system and the fret principles of blues intonation, which made it possible to identify and generalize the theory of interpretation of jazz in the historical and philosophical paradigm. The practical value of scientific work consists in providing a comprehensive hermeneutical base of jazz style in order to further improve the practical application of musical style by teachers, students, musicians and specialists in the field of musical art.
Implementation of Selection Sort Algorithm in Various Programming Languages

Sorting algorithmdeals with the arrangement of alphanumeric data in static order.It plays an important roleinthe field of data science. Selection sort is one ofthe simplest and efficient algorithms which can be applied for the huge number of elements it works likeby giving list of unsorted information, the calculation which breaksintotwo partitions. One section has all the sorted information and another sectionhas all thestaying unsorted information. The calculation rehashes itself, by finding the smallestcomponentinside the rundown of unsorted information and swappingitwith the furthest left component, in the end setting everything straight information.This researchpresents the implementationof selection sort usingC/C++, Python, and Rust and measuredthetime complexity. After experiment,we have collectedtheresults in terms of running time, andanalyzed the outcomes.It was observed that python language hasvery smallamount of line of code, and it also consumesless storage and fast running time then other two languages.
A Comparative Analysis Using Silhouette Extraction Methods for Dynamic Objects in Monocular Vision

Moving or dynamic object analysis continues to be an increasingly active research field in computer vision with many types of research investigating different methods for motion tracking, object recognition, pose estimation, or motion evaluation (e.g. in sports sciences). Many techniques are available to measure the forces and motion of the people, such as force plates to measure ground reaction forces for a jump or running sports. In training and commercial solution, the detailed motion of athlete's available motion capture devices based on optical markers on the athlete's body and multiple calibrated fixed cameras around the sides of the capture volume can be used. In some situations, it is not practical to attach any kind of marker or transducer to the athletes or the existing machinery are being used, while it is required by a pure vision-based approach to use the natural appearance of the person or object. When a sporting event is taking place, there are opportunities for computer vision to help the referee and other personnel involved in the sports to keep track of incidents occurring, which may provide full coverage and analysis in details of the event for sports viewers. The research aims at using computer vision methods, specially designed for monocular recording, for measuring sports activities, such as high jump, wide jump, or running. Just for indicating the complexity of the project: a single camera needs to understand the height at a particular distance using silhouette extraction. Moving object analysis benefits from silhouette extraction and this has been applied to many domains including sports activities. This paper comparatively discusses two significant techniques to extract silhouettes of a moving object (a jumping person) in monocular video data in different scenarios. The results show that the performance of silhouette extraction varies in dependency on the quality of used video data.
The effectiveness of mDPBL as a multimedia-based learning approach.

This study is aimed to investigate students’ perceptions towards the mDPBL approach as a multimedia-based learning approach. mDPBL approach is a combination of two different teaching approaches (i.e. DIA and PBL) with multimedia. Two departments were selected in this study (i.e. Informatics Engineering and Information System). The survey was divided into two phases, pre-survey and post-survey. 276 students participated in this study. The quasi-experiment method was used with two different ways teaching strategies (i.e. traditional and mDPBL approach). The study revealed that the majority of students have a positive impact on positive learning outcomes in the mDPBL approach. A significant increase in students' perceptions of the effectiveness of the mDPBL approach is proven by an increase in the average score of students' perceptions and perceived effectiveness of 2.67 points or 8.71%, respectively.&#x0D; Keyword- Multimedia, Traditional approach, mDPBL approach
Missing Person Detection Using AI

In the world, a countless number of people are missing every day which includes kids, teens, mentally challenged, old-aged people with Alzheimer’s, etc. Most of them remain untraced.[1] This paper proposes a system that would help the police and the public by accelerating the process of searching using face recognition. When a person goes missing, the people related to that person or the police can upload the picture of the person which will get stored in the database. The face recognition model in our system will try to find a matching the database with the help of face encodings. It is performed by comparing the face encodings of the frames in the video streaming to the face encodings of the images in the database. If a match is found, it will be notified to the police and the people related to that person with the details of the person found. This project is really helpful as concerned for the government in order to lessen the time and man power spent in finding the missing persons. The face recognition model that we have developed maintains an accuracy of 94%.
Designing Picture Book about The Javanese Vocabulary through Lift a Flap for Children 4-5 Years Old

According to several studies from 2013-2019, many children in Yogyakarta do not understand Javanese vocabulary, especially krama level.Javanese vocabulary should be introduced to children from an early age.The vocabulary introduction is helpful for children to expand their knowledge and familiarize themselves with the language so that when children move to elementary school, they will have no difficulty following Javanese lessons.Access to the introduction, government policies, and media are still limited.The picture book is a close medium for children.The availability of an easy and attractive picture book to introduce Javanese vocabulary is still lacking.So, the study aims to define and design an easy and attractive lift-a-flap picture book about the Javanese vocabulary for children in Yogyakarta.This study is design-based research uses a mixed method with literature studies, interviews, observations, and surveys.The design process uses the design thinking stages, includes empathize, define, ideate, prototype, and test.The respondents are the DIY Language Center, teachers, and parents.This study conducts in several stages: 1) literature study to deepen theory, 2) interviews with the DIY Language Center and teachers to identify problems and needs for vocabulary introduction through a picture book, 3) perception surveys of parents to design picture book, 4) observations to find out the picture book trends, 5) data analysis, and 6) design the concepts and visualization.The result is a Javanese vocabulary picture book design for children 4-5 years through a lift-a-flap approach and automatic audio.This book provides visual, auditory, and tactile stimulation for children.This book encourages children to play with flaps and repeat vocabulary with the help of automatic audio.This repetition will make it easier to memorize Javanese words.
An Analytical Study of Nifty 50 and Financial Sector Indices

The present study analyses the movements of ‘Nifty 50’ and the Nifty financial sector indices owing to their significance in the economy. The OLS regression, Granger Causality, and Impulse Response Function were estimated to measure the changes in the future responses of ‘Nifty 50’ to the changes in
Deep Neural Networks for Human Action Recognition

Abstract: In deep neural networks, human action detection is one of the most demanding and complex tasks. Human gesture recognition is the same as human action recognition. Gesture is defined as a series of bodily motions that communicate a message. Gestures are a more natural and preferable way for humans to engage with computers, thereby bridging the gap between humans and robots. The finest communication platform for the deaf and dumb is human action recognition. We propose in this work to create a system for hand gesture identification that recognizes hand movements, hand characteristics such as peak calculation and angle calculation, and then converts gesture photos into text. Index Terms: Human action recognition, Deaf and dumb, CNN.