Reviewerly/exHarmony huggingface dataset:
Forecasting Time Series Data Using Haar Discrete Wavelet Transformation

Discrete Wavelet Transform is a data transformation method that represents data in the time domain and frequency domain. This transformation appears to overcome the weakness of the Fourier transform which is only able to provide one domain information and is limited to certain windowing . The type of wavelet used is the Haar Wavelet. Identification of data periodicity using Periodogram analysis with Fisher's Test statistics. The transformed data is decomposed into two components, namely the Approximation Coefficient and the Detail Coefficient. Both components are predicted using the Box-Jenkins ARIMA method. Model selection was carried out using the Akaike Information Criterion (AIC ) and Mean Square Error (MSE) methods . The forecast obtained is then reconstructed into the time domain (inverse). The application of the ARIMA model through wavelet transformation to Makassar City Air Humidity data for the period September 2006 - December 2012 shows that forecasting on the Approximation Coefficient obtained by the ARIMA model (0,0,3) with AIC = 112.2142 and MSE = 29.673. While forecasting on Detailed Coefficients is obtained by the ARIMA model (2,1,0) with AIC = 89.2 and MSE = 15,989.
Forecasting The Search Trends of The Keyword “Sarung Wadimor” In Indonesia on Google Trends Data Using Time Series Regression with Calender Variation and Arima Box-Jenkins

The impact of this 4.0 era is that data is growing and can be collected very easily and then reprocessed to obtain information. One of the search engines for various data and information that is often used is Google, causing a high search intensity and will further impact on increasing the amount of data generated by search engines. Google Trends is one of the official websites from Google that reflects or takes pictures of events in society based on search keywords. The search keyword that will be studied in this article is “Sarung Wadimor”. Therefore, the purpose of this research is to forecast the search trend for the keyword "Sarung Wadimor" which is interesting because the resulting time series data pattern shows a recurring pattern due to the effect of calendar variations which are thought to be related to the month of Ramadan. Forecasting modeling uses Autoregressive Integrated Moving Average (ARIMA) and Time Series Regression (TSR). The goodness of the model used in this article is the Mean Square Error (MSE), Root Mean Square Error (RMSE), and Symmetric Mean Absolute Percentage Error (SMAPE). Based on the results of the analysis, using three goodness-of-fit measures shows that the TSR model with the Calendar Variation of Ramadan + Month Periods has smaller MSE, RMSE, and SMAPE values than the other models with goodness-of-fit values of 88.602, 9.413, and 26.950, respectively. Forecasting results for the next 6 periods show that the search trend for the keyword "Sarung Wadimor" tends to decrease, this is because the month of Ramadan is still quite far in 2023.
Sentiment Analysis in Environmental Sustainability Field by Machine Learning

Environmental sustainability is one of the influential topics of the last decade. Most people have become more environmentally aware and educated environmentally conscious. Sustainability concerns the sustainability of natural resources and environmental protection. The four pillars of sustainability include human, social, economic and environmental. Twitter is a popular social media platform that keeps us updated on the latest news, events and trends from around the world. In 2022, the number of Twitter users in Thailand reached around 11.45 million, accounting for 16.4 % of all Thai people. Also, the fastest growing conversation in Twitter is related to the environment and sustainability. Nowadays, customers pay attention to the environmental and social impact of products they buy. Sentiment Analysis is the process of analyzing emotions or feelings by using machine learning techniques. The main objective of this exploratory study is to conduct social media opinion mining in case of the environmental sustainability field of Thai people. The paper presents the linguistic analysis of the collected data and explains discovered phenomena, including data preprocessing steps, feature extraction, and model construction to determine positive, negative and neutral sentiments. The result reveals that sentiment analysis takes place around the sustainability context mostly in positive terms to make a better understanding of the dynamics and changes in environmental sustainability society.
An Extended Study on Motivation and Need for Multimedia Skills Development in the Case of University Staff

University staff has been the most vulnerable actor (or even stakeholder) in the process of the online transition of all the academic activities (education, scientific, communication, internationalization, involvement in the community etc.). University missions has been re-shaped and re-designed considering the new ways (methods and tools) for communication, opinion expressions, dialogue, for scientific argumentations and negotiations, promotion of different results, achievements, events or the university activities. Multimedia competencies have become more valuable and together with the digital creativity has been considered the new “weapon” for creating a new image of the online universities (defining the new online world of the academic environment). In this context, the paper first, presents the specific situation and potential for multimedia competencies development in the case of the seven partners of MUST project: “Multimedia Competencies for University Staff to Empower University - Community Collaborations” (2020-1-RO01-KA203-080399, https://mustproject.eu/). The extended study refers to partners from countries as: Romania, Slovenia, Germany, Lithuania, Portugal, Spain, and North Macedonia. The preliminary state of the university staff competencies in the field of multimedia, has been the basis for the survey based on a designed questionnaire development for the training needs development. In the final part of this article the results of the survey are presented together with some comments and conclusions. The achieved knowledge and information from the extended study on motivation and need for multimedia skills development in the case of university staff have been considered for designing the MUST training program structure and content.
Preface: 2nd International Conference on Media, Art, Management and Educational Engineering (MAMEE 2023)

We are so delighted to announce that 2023 2nd International Conference on Media, Art, Management and Educational Engineering (MAMEE 2023) was successfully held in Vienna, Austria during April 08-09, 2023. The conference aimed to provide a platform for interdisciplinary cooperation and communication for young scholars to lighten academic atmosphere, encourage innovation, create cooperation opportunities and boost young scholars' growth.&#x0D; About 80 participants from academic, high-education institutes and other organizations took part in MAMEE 2023. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 10-15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches.&#x0D; With the forum based on the display of the frontiers, we invited well-known experts and scholars as well as the outstanding youth to deliver academic reports. It is expected that MAMEE 2023 can provide a free academic atmosphere to encourage our distinguished guests to share their views, ignite new ways of thinking and harvest new ideas. This international academic conference aims to further promote exchanges and cooperation, to play an active role in improving academic standing and international influence in the areas of mass media, new media, art design, public art, management system, human resource management, and educational engineering as well as shortening the gap with the top subject in the world.&#x0D; MAMEE Organizing Committee&#x0D; Vienna, Austria
참여적 리더십이 구성원의 혁신행위에 미치는 영향 : 지식공유와 창의성의 직렬다중 매개효과

Organizational members’ innovative behavior is a key element that promotes organizational growth and sustainability. With today’s unstable environment of economic and market , the importance of employees’ innovative behavior is being emphasized. The reason is that employees’ innovative behaviors play an important role in securing a organizational competitiveness. Based on this, this study focused on ways to improve employees’ innovation behavior. Specifically, the causal relationship between participatory leadership and employees’ innovative behavior was identified and the influence of innovative behavior was also verified. Furthermore, in the process of participatory leadership influencing employees’ innovative behavior, the serial multiple mediating effect of knowledge sharing and creativity was verified. In order to demonstrate the hyphotheses, this study focused on 237 employees who work in Chinese SMEs. The results of the empirical analysis showed that participatory leadership had a positive effect on knowledge sharing, creativity, and innovative behavior. In addition, the serial multiple mediating effects of knowledge sharing and creativity on the relationship between participatory leadership and innovative behavior was significant. Overall, this study verified the positive role of participatory leadership that enhances employees’ innovative behavior in Chinese SMEs and contributed to expanding the research field related to employees’ innovative behavior through serial multiple mediating model.
MSRDL: Deep learning framework for service recommendation in mashup creation

Abstract In recent years, service-oriented computing technology has developed rapidly. The growing number of services increases the choice burden of software developers when developing service-based systems, such as mashups or applications. How to recommend appropriate services for developers to create mashups has become a basic problem in service-oriented recommendation systems. To solve this problem, people have proposed various methods to recommend services to match the requirements of the new mashups and achieved great success. However, there are also some challenges in feature utilization and text requirement understanding. Therefore, we propose a Mashup-oriented Service Recommendation framework based on Deep Learning, called MSRDL. A content component was designed in MSRDL to generate the representation of mashups and services. Besides, an interaction component was created in MSRDL to model the invocation records between mashups and services. The output features of the two parts are further integrated into MLP to obtain the service recommendation lists. Experimental results on ProgrammableWeb datasets show that our method is superior to the state-of-the-art methods.
Game Tebak Gambar Sebagai Media Pembelajaran Untuk Anak Usia Dini

Many games are starting to appear that are less educational and less suitable to be played which have a bad impact on children, as well as the lack of parental supervision of children in excessive use of gadgets. the need for a media that can unite two elements, namely game play and learning, therefore an educational game application is made that uses construct 2 and coreldraw which serves as the interface design processor, objects, buttons, and players. This educational game raises the theme of introducing the names of animals in the form of pictures, which will later become an alternative learning that provides a more useful education, has a positive impact on children, and can reduce children playing games that are not suitable for their age. With this application, it provides broad insight to children about recognizing animal names and understanding them, and can fill children's free time which is usually spent just playing less useful games by playing and learning with this educational game application.
PEDAGOGICAL INTERACTION OF PARTICIPANTS IN THE EDUCATIONAL PROCESS IN PSYCHOLOGICAL CONTEXT OF STUDYING INTERPERSONAL RELATIONS (ON THE EXAMPLE OF HIGHER EDUCATION INSTITUTION)

Problem statement.Demands of the society for specialized training of future teachers are growing every year, which makes it relevant to adjust various parameters of the educational process along new transformation rails. However, in reality, there are still institutions where education of informative and descriptive nature is quite common, which creates contradictions between the objective needs of humanizing the educational process based on understanding its essence as a subject-subject interaction and existing approaches in its organization.
Formative Assessment Methods of English Language Application Competence Based on Consistency Evaluation

In order to improve the effect of sports strategy formulation, this paper combines artificial intelligence assisted agile Internet of Things to conduct research on sports simulation scheme, and builds an intelligent sports simulation system.The sports simulation model designed in this paper can change the mechanism parameters according to the actual situation of the moving object, establish the fixed coordinate system and local coordinate system of the parallel platform model, and establish the mathematical model of the parallel platform.Moreover, according to the principle of vector closure, the inverse kinematics position solution is analyzed, and the inverse kinematic velocity solution is derived by using the equation of the inverse position solution.The experimental research results show that the sports simulation system based on artificial intelligence-assisted agile Internet of Things proposed in this paper has a good performance in sports simulation.
Bhutanese students' low performance in Mathematics dealt with IoT

In the Bhutanese educational system, mathematics is a required subject and serves as a requirement for the study of science and business in tertiary institutions. The Bhutanese school system is concerned about low math achievement rates. This study is interested to identify the causes of the students' low mathematics performance in Bhutanese schools. The study found that factors like teachers' personalities, curriculum layout, a lack of parental involvement, and student attitudes toward the topic all contribute to students' low performance in mathematics in the Bhutanese education system. If appropriate interventions and diagnostic methods are not used, there is a greater danger of extending the current downward trend in mathematics education in Bhutan. Therefore, this research looks into how educators, and other educational stakeholders can work together with varying areas of expertise to better prepare teachers and students for the education system of the twenty-first century. This requires the involvement of government policymakers and the ministry of education as implementers.
Automated Tumbler Cleaner

The Idea presents a straightforward thought of an automated glass cleaning framework that cleans and uses less water compared to mostly used common method. This framework would take the pre-owned glasses inside, clean them and stack them. The whole process is constrained by an electronic circuit. At the point when a glass is kept on a transport line, this is detected by a sensor (say proximity sensor-inductive sort) also, and the conveyor begins moving. The glass arrives at a segment where it is washed. One after the other every one of the glasses goes through the most common way of washing and each glass is stacked underneath the conveyor.
Fast Marching Energy CNN

Leveraging geodesic distances and the geometrical information they convey is key for many data-oriented applications in imaging. Geodesic distance computation has been used for long for image segmentation using Image based metrics. We introduce a new method by generating isotropic Riemannian metrics adapted to a problem using CNN and give as illustrations an example of application. We then apply this idea to the segmentation of brain tumours as unit balls for the geodesic distance computed with the metric potential output by a CNN, thus imposing geometrical and topological constraints on the output mask. We show that geodesic distance modules work well in machine learning frameworks and can be used to achieve state-of-the-art performances while ensuring geometrical and/or topological properties.
Data Augmentation of Insulator Aerial Images for Intelligent Inspection of Electric Transmission Systems

Insulators on the electric power transmission lines are prone to defects due to outdoor exposure that can degrade the system performance or even lead to power outage. The existing solutions of defect diagnosis based on vision-based supervised deep learning algorithms suffer from the lack of defect samples. This work develops an efficient data augmentation method for aerial insulator images to promote the detection model performance. The insulator and background are separated firstly and the perspective transformation or random flip is adopted for the foreground and random erasing is used for the background in the augmentation process, respectively. In addition, the noises and weather features are incorporated for the overall image to simulate different photography scenarios. The proposed data augmentation solution is assessed through experiments using the CNN-based training models. The numerical results confirm that the proposed solution enables performance improvements for a range of models in terms of accuracy, recall and F2 score. Besides, the Grad-CAM visualization method is also used and demonstrates the superiority of models trained based on the augmented dataset for insulator defect diagnosis tasks.
PENGARUH E-LEARNING TERHADAP HASIL BELAJAR SISWA PADA KONSEP SISTEM REPRODUKSI MANUSIA

Research has been carried out with the title "The Influence of E-learning on student learningoutcomes on the concept of the human reproductive system". This study aims to determine theeffect of e-learning on student learning outcomes on the concept of the human reproductive system.The research method used is quasi-experimental and the design used is pretest-posttest controlgroup design. The study was conducted on students of class XI IPA 4 as a control class and XI IPA5 as an experimental class at MA Negeri 1 Bandung with 31 students in each class. Sampling wasdone with a purposive sampling technique. To obtain the required data, the instruments used aremultiple choice questions as primary data and questionnaires as secondary data. Based on dataprocessing, the average posttest learning outcomes for the experimental class was 63.23 and thecontrol class was 61.74 with the results of hypothesis testing Z count = 0.53 in the Z tableacceptance area of 1.96. Based on these results, there is no significant effect of learning throughe-learning on student learning outcomes on the concept of the human reproductive system. It canbe concluded that e-learning has the same effect as multimedia learning on student learningoutcomes.Keywords: E-Learning, Learning Outcomes, Human Reproductive System
Web-Based Scholarship Management Information System Using Rapid Application Development (RAD) Model

The use of information systems in an organization has many advantages, just like the use of a website for institutions or companies is very helpful in conveying information, one of which is in administrative matters that can be applied using information system technology, namely for scholarship management. Scholarships can be interpreted as providing financial assistance to individuals, with the aim of being used for the continuity of the education taken. In the process of submission and approval in the selection of scholarship admissions that run in the field of student affairs at this time, it is still carried out manually both from the process of collecting files, selection to determining scholarship recipients is carried out manually by the head of the study program. Therefore, the field of Student Affairs at STT Wastukancana Purwakarta, requires an information system that can help the process of applying for and approving scholarships digitally carried out by students of each study program coordinated by the student affairs field. The system development method used is the Rapid Application Development (RAD) model consisting of the Requirements Planning, RAD Workshop Design, and Implementation stages. The results of this study produce a scholarship management information system that can solve problems in the scholarship admission selection process by being able to do it digitally from the process of informing the existence of scholarship opportunities, submission, selection to determining scholarship recipients.
DISAIN SISTEM INFORMASI PENDAFTARAN PASIEN BPJS RAWAT JALAN

The study aims to design and build a BPJS referral patient information system using Microsoft Visual Studio 2010 at the health center level. The research method used is a qualitative method with a descriptive approach. Data collection techniques used are through observation and literature studies. Software development methods use the waterfall method with Data Flow Diagram (DFD) as software design. From the results of the research conducted found the following problems: 1) Bpjs referral patient data processing still uses manual systems, 2) Record the report still uses Microsoft Excel,3)The input process has not worked properly due to lack of Human Resources. The advice given is: 1) Make the design of bpjs referral patient information system integrated at the same time can make reports effectively and efficiently, 2) Add Human Resources.&#x0D; Keywords: Design, Information System, Patient Referral Information System, BPJS.
GAMBARAN TOKOH TRITAGONIS DALAM NOVEL A MONSTER CALLS KARYA PATRICK NESS

Abstrak&#x0D; Tujuan penelitian ini yaitu untuk mengetahui tokoh dan penokohan dalam novel A Monster Calls karya Patrick Ness. Tokoh merupakan pelaku dalam sebuah cerita yang menjalankan peristiwa secara keseluruhan untuk membentuk sebuah cerita yang utuh. Tokoh dalam sebuah cerita fiksi memiliki beberapa jenis tokoh, diantaranya yaitu tokoh protagonis, tokoh antagonis, tokoh tritagonis dan tokoh pembantu. Tetapi peneliti memfokuskan penelitian ini pada tokoh tritagonis yang menjadi penengah dalam sebuah cerita. Penokohan juga diperlukan dalam penelitian ini karena kemunculan tokoh untuk membentuk dan mengembangkan watak tokoh berdasarkan ciri-ciri tokoh dan gaya perilakunya. Penelitian ini menggunakan metode kualitatif deskriptif. Peneliti menganalisis tokoh tritagonis pada novel A Monster Calls karya Patrick Ness. Hasil dari penelitian ini disajikan data yang diperoleh dari novel yang memuat tentang tokoh dan penokohan. &#x0D; Kata Kunci: Tokoh, Penokohan, Tokoh Tritagonis, novel A Monster Calls.&#x0D; &#x0D; &#x0D; &#x0D; Abstract&#x0D; The purpose of this research is to find out the characters and affirmations in the novel A Monster Calls by Patrick Ness. The character is the perpetrator in a story that runs the whole event to form a whole story. Characters in a fictional story have several types of characters, including protagonists, antagonists, tritagonists, and helpers. But researchers focused the study on tritagonists who became intermediaries in a story. Affirmation is also needed in this research because of the appearance of figures to form and develop character characters based on the characteristics of the character and his behavior style. This study uses descriptive qualitative methods. Researchers analyzed the tritagonist in Patrick Ness's novel A Monster Calls. The results of this study presented data obtained from novels containing figures and affirmations. &#x0D; Keywords: Character, Affirmation, Tritagonis, the novel A Monster Calls.