Reviewerly/exHarmony huggingface dataset:
Comparison of Forecasting Using Fuzzy Time Series Chen Model and Lee Model to Foreign Exchange in EUR/USD and GBP/USD

Each country has a currency value that applies in its territory and can be adjusted to the value of the currency of other countries. In this adjustment, there is a difference in value when the transaction is made, and the difference in profit can be taken, usually referred to as foreign exchange (forex). In forex trading, analytical calculations are needed to plan a decision to get a significant difference so that the profits will increase. One analysis technique that can maximize the search for an enormous profit difference is by using the prediction method using the fuzzy time series. This method is a method that predicts future data based on historical data or past data. The fuzzy time series method has several models, including the Chen model and Lee model. In determining which model is the best, it is necessary to test using the AFER (average forecasting error rate) based on the level of accuracy of the smallest error value. By using historical data of EUR/USD and GBP/USD from 19 February 2019 to 19 February 2020, it is known that Lee’s fuzzy time series method predicts better accuracy because Chen’s model in foreign currency EUR/USD has a more significant error rate of 0.0018 (0.18%) or greater than Lee’s model which only has a value of 0.0016 (0.16%). Then the Chen model in foreign currency GBP/USD has an error rate of 0.00445 (0.445%) or greater than the Lee model, which only has an error rate of 0.00297 (0.297%).
Mining News Data for Peripheral Culture Training in AGI

As computing applications edge closer toward developing human-like ability, the requirement for culture aware human-machine communication is becoming paramount. Ever evolving natural language is full of abstraction, pop-culture reference, and metaphor. Rigid language understanding implementations in Artificial Intelligence (AI) systems like voice assistants often lead to misunderstanding in command execution, degrading the user experience and accuracy of AI applications. Further, the inability for AI to have an understanding of the data in reference to itself limits its ability to fully comprehend conversation. Theorized Artificial General Intelligence (AGI) aids this problem through enabling cognitive data processing. This paper presents a novel method of training an AGI system through a peripheral interface using online news articles to increase its understanding of data in reference to current societal culture while heightening its overall awareness.
PELATIHAN PEMBUATAN WEBSITE TANPA CODING DENGAN MEMANFAATKAN CONTENT MANAGEMENT SYSTEM WORDPRESS UNTUK UMUM DAN MAHASISWA KAMPUS MDP

Website is a provider for delivering information that can be accessed online. Website creation can be conducted in various ways. Some ways to create a website are writing program code through a series of programming with web programming languages, using a content management system (CMS), and using a website builder. CMS is a method used to create websites for those who are not familiar with programming. One of the widely used CMS is WordPress. Currently 30% of websites in the world use WordPress and WordPress has dominated 60% of CMS users worldwide such as Joomla, Drupal, Magento and Shopify. This Wordpress training are carried out live and online via the MDP TV YouTube channel. This activity begins by conducting a survey of the needs from the training participants, followed by administrative preparations, the creation of training materials and questionnaires, conducted online and started with filling out the pre-training questionnaire, and ending with a post-training evaluation questionnaire. Based on the training and the results of questionnaires that have been filled out by 57 participants, the training went smoothly and received a very good response and was in accordance with the expectations of the participants.
Peningkatan Keterampilan Menulis Siswa Kelas V SDN 03/04 Margoyoso Menggunakan Media Youtube

This study aims to improve the writing skills of 5th grade students of SD Negeri 04 Margoyoso by using YouTube as the media. The main problem in this mini research study is that students are lazy and find difficult to write a lot because of the length of online learning due to the pandemic. It can be seen from the result of student writing, unstructured interviews, and class observations and collection of documentation. This research was carried out at SD Negeri 03/04 Margoyoso in the odd semester of the academic year 2021/2022 with the research subjects being 22 students in 5th grade. This research is a mini classaction research (CAR) conducted in two cycles. Quantitative data in the form of writing skill scores were analyzed descriptively. Students writing skills increased from the precycle score of 45.56%, increased in the first cycle of 54.55% and increased again in the second cycle of 72.73%. The succes of the learning proses can be seen in the activities of students who are enthusiastic and antusiastic about participating in learning.
Position Control based on Pivot Transition of Adhesive Drone on Uneven surface

In this study, we propose a position control of adhesive drone based on the pivot transition by the two passive rotating mechanism. In order to adhere to uneven surface, Universal Vacuum Gripper (hereinafter, UVG) is used for the adhesion to the uneven surface, and two UVGs are rotated by a pivot one by one to control the suction position. As an application, we aim to realize the adhesive drone system that can perform fixed-point observation and fine movement in the inspection of narrow areas of less than 432.8 mm, which is the average shoulder width in Japanese.
Peramalan Jumlah Penggunaan Kuota Internet Menggunakan Metode Autoregressive Integrated Moving Average (ARIMA)

Internet quota is the number of limits or limits of usage in internet use.To overcome this, it is necessary to forecast the amount of internet quota usage. The purpose of this study is to predict the amount of internet quota usage using the Autoregressive Integrated Moving Average (ARIMA) method. The ARIMA method commonly called the Box-Jenkins method is a method used for short-term forecasting with the assumption that the time series data used must be stationary, meaning that the average variation of the data in question is constant. The bedt model obtained to predict the amount of internet quota usage is the AR (1) or ARIMA (1,0,0) models. From the forecasting results it can be seen that the amount of internet quota usage is increasing every day&#x0D;
Analysis Security of Absence Information System with Finger Print using Minutiae Method on STEKOM

Employee attendance is primary factor at an institution or company in achieving target. This condition relates to disciplines. And affect to pros and cons company management or human resource quality it self, impact that happened can be in the form of lack of output from production result. Much company managements take decision by conduct salary amputation of each absence employee in the operation. In consequence, must existence of special record to note existence and employees absence in order to employees existence in conducting job activity are noted properly. A lot of way of used for processing employees attendance, one of that is with use barcode machine. In STEKOM, absence system which used is fingerprint scanner machine, but the system mentioned is requiring expensive cost enough, it needs troubleshooting and also repairing. So that company have to releasing a lot of cost for handle employees attendance process. Beside that, damage fingerprint condition, wet and dirty can be became of employees. So its disturb process of absence transaction. Minutiae method is a method which is used by the writer in this research. This method is assumed as an effective method to describe the intrinsic elements in designing and identifying finger print. It is because in processing a program, it should be described in order to be understandable.
Ontological paradox of computer-based technologies used in education and learning

This study sought to investigate the ontological paradox of computer-based technologies used in education and learning. The argument of this article is that today, the use of computer-based technologies to enhance learning and disseminate knowledge is indispensable; however, this leads to an onto-educational shift in the way we regard intellectual development of learners as a subjective factor in education and the employed learning technologies themselves; a natural human subjective element of learning and knowledge is considered to be ineffective, while technologically stored and transferred facts of knowledge are given higher regard. Computer-based technologies used in education are appraised and institutionalized to the height that learners are sometimes unable to reflect on their own without recourse to the aid of such technologies. It is not enough to employ technology and technologically enhance learning, but also we have to question its impact on the intellectual development of learners. Appropriating Heidegger’s phenomenology, the ontology of the human subject provides a philosophical and normative foundation for a comprehensive analysis of the use of computer-based learning in the technological frame since it allows us to rethink more seriously about subjective factors in education in today's growing technological society. This article recommends that the embracement of educational and learning technologies should consider both subjective and technological aspects; a blended education and learning system would be appropriate.
PEMBUATAN NEON BOX, BROSUR DAN STIKER SEBAGAI MEDIA PROMOSI PADA SANGGAR RIAS SEKAR SARI SEMARANG

Promotion is an important activity carried out in developing a business and business, promotion is thespearhead of the sustainability of a business itself. Lack of promotion can be an incentive for people to lookelsewhere than the place of business itself. Therefore, a special strategy is needed to advertise and inform acompany.Sekar Sari makeup studio is a service that functions personally to assist the bride and groom and theirfamilies in planning and supervising the implementation of a series of wedding events according to apredetermined schedule and budget. Therefore, to introduce or inform it, a print promotion media is neededso that all circles of society can recognize it.Based on this, the authors make print promotional media in the form of neon boxes, brochures andstickers with the aim of introducing or informing the Sekar Sari Rias Studio Semarang as a company thatprovides bridal makeup services and planning the implementation of a series of wedding events.Making designs based on existing theories and using design principles and then processing them withcomputer programs such as Adobe Photoshop CS 5.
Technology of aerospace imagery processing

The article is devoted to the Technology of Aerospace Imagery Processing The analysis of the innovative program complex operation with the multimedia exposition and separate expositions proved that they can be easily processed and compressed without quality loss increasing the efficiency of the information and telecommunication systems.
AI-Based Knowledge Management System for Risk Assessment and Root Cause Analysis in Semiconductor Industry

Due to the increasing technical complexity of products and market pressure, the demands in the semiconductor industry are rising with respect to quality, performance, and time to market.Root cause analysis and risk assessment are crucial elements for success in fulfilling these demands.As a result, there is an ever-growing number of technical documents, which potentially contain valuable information serving as a base to inform development and production.Experts need to cope with this large number of technical documents, for example, to generate new hypotheses to identify possible root causes of deviations or potential risks in the ramp-up and production phase of new products.Unfortunately, most of the technical documents are unstructured, making processing them even more tedious.New advances in computer science, specifically artificial intelligence (AI), open the door for a higher degree of automation of knowledge management tools to support experts.Knowledge bases such as knowledge graphs allow for representing complex information but need to be created for each domain.Novel state-of-the-art graph embedding algorithms showed promising results 113 114 AI-Based Knowledge Management System for Risk Assessment in complementing knowledge bases with new relations.Complementary to knowledge base completion, language models trained on large textual corpora have demonstrated their ability to capture complex semantics.This paper proposes a new expert system concept for failure root cause analysis and risk assessment in the semiconductor industry, which leverages the advanced graph embeddings in combination with language models.The main challenges in this setting are the type of relations of interest, which are causal, and the language being used, which is highly domain-specific.Thus, we devised AI for consistency improvement of the data, predicting new links, and information extraction from unstructured data.The information extraction is conducted by levaraging domain specific ontologies and by focusing on presence of causal language.
Restoring severely out-of-focus blurred text images with Deep Image Prior

Deblurring is a classical image processing problem with several techniques to solve it.However, increasingly complex methods are required as the degradation increases.Meanwhile, Deep Image Prior (DIP) is a technique, based on artificial neural networks, that does not depend on training data and presents promising results in several image processing tasks.In this work, we proposed the combination of DIP with a supervised convolutional neural network to deblur severely out-of-focus blurred text images from the Helsinki Deblur Challenge (HDC2021) dataset.We evaluated the deblurred text images using optical character recognition results and had a satisfactory performance up to the 16th highest blur category.We deblurred natural images of the same dataset to characterize our method as a general-purpose deblurring algorithm, recovering moderate details up to the 13th highest blur category.The experimental results were competitive against other state-of-art methods, showing the potential and robustness of our method.However, its high computational demands may hinder real-time applications.
Students’ Errors in Using Punctuation and Capitalization

The aims of this research are to know what are the errors made by the tenth grade students at MAN 2 lubuklingau in using punctuation marks in writing descriptive text and to know the dominant errors made by the tenth grade students at MAN 2 Lubuklinggau in using punctuation marks in writing descriptive text. The sample of the research was tenth grade students at MAN2 Lubuklinggau. the writer used simple quantification. This is because this study did not measure the students’ achievement in writing, but merely to find out the grammatical errors in students’ writing. It tries to find out the types of error produced by the students in their writing, as well as the most type of errors made by the students. The main instrument that the writer used in this study was writing test. The type of errors made by the tenth grade students at MAN2 Lubuklinggau in using punctuation marks in writing descriptive text are divided into three types that had been analyzed. The first highest frequency of error made by the tenth grade students at MAN2 Lubuklinggau in using punctuation marks in writing descriptive is omission.&#x0D; &#x0D; Key words: Error, Punctuation, Capitalization&#x0D;
Pengaruh Model Learning Together (belajar bersama) dalam Memahami Wacana Tulis di Kelas XI SMA RK Delimurni Delitua

&#x0D; &#x0D; &#x0D; &#x0D; This study aims to describe students' ability to understand written discourse by using two variables, to find out whether there is a significant effect on the ability to understand written discourse using Learning Together in class XI SMA RK Deli Pure Delitua. The instrument is in the form of multiple choice with 4 answer choices, namely a, b, c, and d with 20 questions each. The data analysis technique used to see the relationship between the independent variables (Learning Together learning model) and the dependent variable (understanding written discourse) was used product moment correlation analysis and to test the hypothesis used the t test formula. From the research that has been done, it was found that the increase in the ability to understand written discourse that was treated with the Learning Together learning model had an average of 75.97 and those who were treated using the NHT learning model had an average of 64.44. The normality test for the experimental class is Lcount = 0.1278 (Lcount = 0.1278 &lt; Ltable = 0.1476, while the control class Lcount = 0.1340 (Lcount = 0.1340 &lt; Ltable = 0.1476. While the hypothesis test shows that ( Ha) is accepted so that there is an influence using the Learning Together learning model in understanding written discourse in the class of SMA RK Deliputih Delitua.&#x0D; &#x0D; &#x0D; &#x0D;
The Impact of Using Skimming Strategy in Narrative Text towards Students’ Reading Comprehension of SMP Advent of Semarang

Reading is one of the four English skills that is important in academic and daily life. Many strategies can be used in reading, such as skimming, scanning, summarizing and responding, and note taking. The purposes of this research are to investigate the significant improvement of the students’ skills after using skimming strategy in reading narrative text and students’ responses after using this strategy. The researcher investigated 8th graders of SMP Advent of Semarang who were studying narrative text. The data were analysed in quantitative and qualitative methods. The results showed that there was a significant improvement of the students after using skimming strategy, especially comprehending the narrative text. The result indicated that p-value = 0,019588. Therefore, null hypothesis (H0) was rejected and alternative hypothesis (Ha) was accepted. Their score increased and it proved that skimming strategy is useful and help the students enhance students’ reading skills.
Digital Media Planning Technologies Based on Economic and Mathematical Modeling

The article focuses on the theoretical and practical aspects of media planning software development. Media planning helps increase the effectiveness of problem-solving in a modern digital society; it is necessary both for private businesses and government agencies. This paper describes the development of digital media planning tools with the help of economic and mathematical modeling. These tools include analytical and numerical methods for planning and optimizing advertising placement, methods for monitoring media and market parameters, as well as software products for media planning, marketing and advertising research. The resulting media planning software were published on the website c-mix.ru. These programs can be used to devise optimal media plans based on up-to-date data on media consumption by various target audiences, calculate such parameters as audience coverage, distribution of coverage by the number of advertising contacts, the average number of advertising contacts, etc.
AN ERROR ANALYSIS OF SCIENTIFIC PAPERS WRITTEN BY PUBLIC HEALTH STUDY PROGRAM STUDENTS OF STIK BINA HUSADA PALEMBANG

One of the student's obligations as a graduation requirement is to write a thesis.
The Projection of Global Higher Education Development Trends on the Regional Reality

The purpose of the article is to identify the main problems of the transformation of higher educational institutions to the Universitet (University) 4.0 model. The empirical results of the study allowed formulating the main problems of digitalization of domestic education. Socio-cultural transformations caused by deep technologization and digitalization of public life and social relations contribute to the formation of a new model of fourth-generation universities, in which collective and hybrid (human-machine) intelligence will be the key, creating new knowledge, and cognitive technologies forming new approaches will be the key technologies, methods and methodology of education. This, in turn, leads to the transition to mixed learning formats, involving the active use of distance and e-learning technologies in full-time. Digitalization of education requires the development of digital pedagogy: new approaches, tools, teaching methods, and the introduction of new types of classes.
Reader-Model-Based Story Generation

Several existing systems have used reader models for story generation, but they have focused on either interactive contexts or pure discourse-level manipulation. I intend to buid a reader-model story generator that not only applies reader modelling to full plot generation, but which also draws on theories about intentionality and emotions put forward by Lisa Zunshine, Keith Oatley, and Raymond Mar. To evaluate the contributions of the reader model, I'll compare it with human-authored stories using measures of reader engagement. I'll also run the model on human-authored stories and compare the results to a human gold-standard analysis.
12th International Conference on Educational Studies and Applied Linguistics

Language educators aim to promote speaking skills because speaking skills are one of the productive skills that make language learners create meaningful conversations and dialogues with the target language. There are different methods and strategies for promoting speaking skills, such as communicative language teaching (CLT) and story-telling strategies. CLT aims to have communication and discussions in the class, and so does the story-telling. The researchers conducted studies on making foreign language learners speak the target language. They concluded that enhancing speaking skills requires actively involved students, and for that, the language instructors need to use some tools and strategies. Moreover, the story-telling strategy involves the students practicing their speaking skills, and this technique aims to improve their speaking skills in a real-life situation. Thus, this research paper explores the values of story-telling strategies in the EFL classroom. A qualitative research design was implemented, and the data was collected from secondary sources such as research articles. For analyzing the data, a thematic analysis was used. The results demonstrated that story-telling was highly sufficient in improving speaking skills. It enhances the capacity of capturing new vocabularies, fostering pronunciation. It also enables the learner’s imitation skill, expanding the learner’s communication, including their criticality, and increasing the learning desire to use the target language. In brief, story-telling strategies help the language learners to use the target language, and it also helps the learners to improve their speaking skills.