Reviewerly/exHarmony huggingface dataset:
Peran Guru sebagai Street-Level Bureaucrat dalam Mendukung Kebijakan Pendidikan Berbasis Digital di SMA Negeri 5 Kupang

The purpose of this study is to identify and explain how teachers, as street-level bureaucrats, carry out their roles in supporting the implementation of digital-based learning programs at SMA Negeri 5 Kupang. This research was conducted using a descriptive-qualitative approach. Data collection was conducted through in-depth interviews, a literature study, and field observation. The results showed that teachers of SMA Negeri 5 Kupang, as street level bureaucrats, carry out five roles to support the implementation of digital-based learning programs, namely: (1) mentors, as alternative providers in solving problems related to the use of digital media, as curriculum providers, and as innovators; (2) mentors, as teachers in the operation of hardware, software, and applications applied in digital-based learning, and as advisors; (3) motivators, motivating students to think critically in the use of digital media, appreciating, and improving students' skills; (4) facilitator, providing access to the use of digital technology, providing project- or task-based learning, facilitating online discussion, and building communication with parents; (5) demonstrator, showing students how to use digital media effectively and efficiently, providing examples, and demonstrating how to solve technical problems; and (6) evaluator, assessing students' progress in the application of digital technology and assessing the safety of the application of digital technology. The results also show that in carrying out this role, SMA Negeri 5 Kupang teachers are still faced with several obstacles, such as limited resources, financial constraints, limited knowledge and skills, the digital divide, a lack of awareness related to digital ethics, a lack of student involvement and motivation, limited subjectivity, observation difficulties, and the complexity of digital security.
Eastern Imagination in Avatar: The Way of Water

Director James Cameron's Avatar: The way of Water is a work in which Jake Sully and his family adapt to a new environment on the planet Pandora, and water is a very important foundation in the story and mise-en-scène. While the previous work Avatar showed the fantastic scenery of a tropical rainforest, Avatar: The way of Water shows the mysterious atmosphere of the ocean of an unknown world. However, in Avatar: The way of Water, water or the sea is not simply the background where events occur. The Metkayina, who live by the sea, resemble the properties of water and are inclusive. They accept the strangers, the Sullys, and live as one with the water. The life of the Na'vi tribe, who live as flexible as water, is connected to the thought of water mentioned by Lao Tzu. Water, a primordial substance, is not a simple motif but a driving force that drives the imagination of the entire work. Avatar: The way of Water inherited the mythological imagination of the ancient times when humans and nature, humans and animals became one, and the shamanistic imagination that sought to unite humans and gods maximized the fantasy of the work. The theme that water connects everything in the world as one and transcends life and death, light and darkness also influenced the mise-en-scène. Curves are emphasized when expressing movement in the water, and the dark deep sea is always depicted as a space full of light. The image of curves is connected to the flexibility mentioned by Lao Tzu, and water becomes a passage through which humans and nature become one. Water, which transcends life and death and embraces everything, is the theme that runs through Avatar: The way of Water and the driving force of imagination.
KEJUJURAN DALAM PELAPORAN ANGGARAN Dengan Pendekatan Kuasi Eksperimen

Abstract: &#x0D; Business practices carried out by company owners sometimes set targets that are too high so that budget managers use any means to meet these targets. Budget managers tend to provide dishonest or semi-honest budget reports by using sources of budgetary slack by using the benefits of direct or indirect budgetary slack. This study tries to use the basic concept of measuring budgets using financial elements so that managers are more interested in committing fraud than the concept of measuring using non-financial ones. Furthermore, elements of participatory budgeting are included which allows dishonesty to occur in budget reporting due to information gaps between lower managers and company owners.&#x0D; This study aims to determine how the basic influence of budget measurement, the benefits of budgetary slack, and participatory budgeting with the dependent variable, namely the honesty of budget reporting with a quasi-experimental method. This study was attended by 120 undergraduate accounting student participants who were divided into 4 experimental groups (2x2).&#x0D; The results of this study show that the basis for measuring the budget, the benefits of budgetary slack, and participatory budgeting have a significant effect on the honesty of budget reporting.&#x0D; &#x0D; Keywords: Financial and Non-Financial Measurement, Benefits of Budgetary Slack, Honesty in Financial Reporting.
Klasterisasi Perusahaan Sektor Energi Berdasarkan Rasio Kinerja Keuangan dengan Metode Fuzzy C-Means

The increasing number of companies on the Indonesia Stock Exchange means that there are more investment options for investors, causing investors to be confused about choosing the right company to invest in. Investors need to avoid mistakes in investing, one of which is by analyzing the company's financial performance ratios. In this study, companies in the open energy sector will be grouped based on financial performance ratios using the Fuzzy C-Means method. The results of this clustering can be used as material for consideration for investors wishing to invest in the open energy sector. The Fuzzy C-Means method is a method for grouping objects where the presence of cluster members is based on the degree of fuzzy membership. The ratios to be used are Earning per Share (EPS), Price Earning Ratio (PER), Return on Assets (ROA), Return on Equity (ROE), and Net Profit Margin (NPM). The number of clusters to be formed is 2 clusters. The calculation results obtained are that there are 46 companies in Cluster 1 and 22 companies in Cluster 2. Based on the analysis of cluster characteristics, cluster 2 is a cluster that contains companies with high financial ratios with the highest ratio value being Earning per share and net profit margin This means that the financial performance of companies in this cluster is quite good.
Prediksi Tingkat Inflasi Di Indonesia Menggunakan Metode Average Based Fuzzy Time Series

Inflation is a very important indicator in maintaining the stability of the country's economy, so it is necessary to predict the inflation rate to determine the movement of the inflation rate in the future. To predict the inflation rate in Indonesia in 2023, this research uses the Average Based Fuzzy Time Series (FTS) method based on Python programming. This method uses the principle of fuzzy set as the basis of its calculation. The data used in this study are monthly data on inflation rates in Indonesia for the period January 2013 - December 2022 obtained from the official website of Bank Indonesia (BI). The results showed that the prediction of the inflation rate in Indonesia in 2023 was in the range of 5.23% - 5.51% with the highest inflation value occurring in April and the lowest inflation value occurring in January. The accuracy level of the Average Based FTS method is calculated using the Mean Absolute Percentage Error (MAPE) of 0.820849835% which indicates that the method can be used to predict the inflation rate.&#x0D; Keywords : Average Based, FTS, Inflation, Prediction, Python
Potensi Chitosan Sebagai Bahan Irigasi Dalam Pembersihan Smear Layer Saluran Akar

Background: Smear layer is formed after root canal preparation. Removing the smear layer is an important aspect because it can affect the adaptation of sealer so it can increase the leakage of the root canal filling. Chitosan is a natural biopolymer produced by the deacetylation of chitin which has a chelation effect. Purpose: To explain the potential of chitosan as an irrigant on smear layer removal in root canal. Method: Based on sources obtained from journals, textbooks, and websites accessed through the Google Scholar database. The types of references taken are in the form of research reports, literature studies, published from 2014–2021. Conclusion: Chitosan has the potential as root canal irrigant for smear layer removal even in low concentrations with minimal side effects. However, there are differences of opinion regarding the region of smear layer removal.
Exploring the possibility of AI chatbot Wenxinyiyan in Chinese classical literature studies

Baidu, China's largest portal company, unveiled its AI chatbot service 'Ernie Bot (文心一言)' to the world on March 16 this year. However, after the announcement, Baidu's stock price plummeted, and public criticism that Ernie Bot was significantly inferior to OpenAI's 'ChatGPT' could not be avoided. Even in Korea, Ernie Bot has not received much attention to date, and is often considered unfamiliar even to people working in Chinese-related fields. However, compared to ChatGPT, which is an English-language based model, Ernie Bot, which is based on Chinese, is expected to have some use in some way in academic circles studying the Chinese literature. In particular, when studying Chinese classics, too much time is spent trying to understand the contents of works that are not interpreted in Baihuawen (vernacular Chinese literature, 白話文), or it often happens that it is difficult to acquire detailed information about authors or works that are not covered in the literary history. Accordingly, the author, a researcher of classical Chinese prose, personally tried using the AI chatbot Ernie Bot, and while exploring the possibility of what role this could play in actual classical Chinese research, I also looked at the limitations that have been revealed to date.First, I gave some examples of how Ernie Bot can be used in the study of classic Chinese literature, and I tested how precisely Ernie Bot can identify the general plot of a work or search for authors or works that meet specific criteria. Next, as I examined the specific possibility of using Ernie Bot, focusing on Lou Yue's "Beixingrilu", a work from the Southern Song Dynasty, after looking at how detailed Ernie Bot searches for basic information about "Beixingrilu", I also tired testing how accurately one paragraph of the work could be translated into Baihuawen (vernacular Chinese literature, 白話文). Also, considering that this work is in the form of a travelogue that records the author's long journey from his family home through the capital of the Southern Song Dynasty to the capital of the Jin Dynasty, in addition to literary research, I also attempted to explore how Ernie Bot could be used in research on China's geographic information and local customs and culture.
The Development of Interactive Learning Media Based on Visual Basic for 8th Grade Junior High School in Application (VBA) on Additive, Addictive and Psychotropic Substances

This study aims to develop interactive learning media. The research method used is the ADDIE development research method. There are five stages of developing this interactive media, namely analysis, design, development, implementation, and evaluation. The assessment instrument consists of three experts and users. The data analysis technique used is the descriptive data analysis technique. The data that has been analyzed is then described qualitatively to find out the research category in each aspect, the design aspect with an average score of 0.819 with the high category, the pedagogic aspect 0.817 with the high category, the content aspect 0.817 with the high category, then for the last aspect the technique 0.07 moderate category. The developed simulation can be used, interactive, and can explain the concept well. Keywords: Addictive Substances, Learning Media, Interactive, Powerpoint VBA.
The Route and Function of the permeating of the 骈文(PianWen) into colloquial style Novels: Focusing on the talented and beautiful novel(《玉支玑》) of the late Ming and the early Qing Dynasty

骈文(PianWen) permeated the novel a lot. They are usually independent phrases or combinations of them, not completely one-sided sentences. Therefore, the combination of 骈文(PianWen) is the most common way for 骈文(PianWen) to permeate novels. This combination of changing characters was included in each part of the novel like a jewel. For example, the introduction, title, poetry and history inserted among the novels, part of the novel, the next notice led by "分教是", the author's commentary led by "正是", and the novel's commentary.In the process of permeating the colloquial style novel, 骈文(PianWen) was restricted by the influence of the colloquial style novel's tone and narrative demands. The novelist realized the popular renovation of 骈文(PianWen) through various means such as old-fashioned choice, the confinement of ancient history, the convergence of spoken language, and tolerance of couplet. This popularized 骈文(PianWen) maintained the form of couplet while also helping to shape the characters and develop the plot of the novel. This is the product of the deep fusion of the novel and the 骈文(PianWen). When dealing with many of the 骈文(PianWen) in popularized colloquial style novel, we should not condemn them from the classical view. It is necessary to consider the dynamic situation in which 骈文(PianWen) and novel interact and receive an objective evaluation.
The development of Android-based learning media using Kodular in making suit patterns subject

This research aims to produce Android-based interactive learning media by utilizing the Kodular application for learning materials for making suit patterns for XII grade students of Fashion Management Vocational Schools. This research uses the research and development model of the Puslitjaknov Team, which consists of five development stages, namely: (1) Analysis of the product produced; (2) Making the initial product; (3) Expert validation and revision; (4) Small-scale trial; and (5) Large-scale trial. This study collected data through observation, questionnaires, and documentation. The test subjects in this development research were students of class XII of Fashion Management of SMK Negeri 2 Godean, with a total of 10 people for small-scale trials and 27 people for large-scale trials. In this study, quantitative descriptive analysis was used to analyze the data. Based on the assessment of material experts and media experts, small-scale trials, and large-scale trials, the findings of this study reveal that the learning media for making Android-based suit patterns are considered valid and practical for use in the classroom. This media is feasible to use to improve students' thinking skills and support students in learning independently, as well as flexible in its application. This media functions well and provides relevant information to students regarding suit pattern making, increasing students' interest in learning, creativity, and learning motivation. The Android-based suit pattern making learning media developed is more efficient than traditional learning media because it can improve learning outcomes by improving the quality of student learning and making it more fun.
Design and Creation of a Neural Network for the Classification of Bank Loan Applicants into Suitable and Non-Suitable Candidates

In the contemporary digital era, financial institutions are actively seeking ways to enhance and streamline their decision-making processes, particularly in critical areas like the approval of bank loans.Traditionally, this procedure has heavily relied on the manual examination of applicant information against predetermined criteria.However, the advent of artificial intelligence and machine learning has ushered in a new era, where neural networks are emerging as a promising tool for intelligent decision-making, aiming to significantly enhance the precision and efficiency of these crucial determinations.The system is developed using supervised artificial neural networks.This system is trained with 8 input variables to make predictions about the feasibility of granting a loan to a user.The goal is to determine whether the application is favorable, or, on the contrary, if it presents risks or disadvantages that could make granting a loan unfavorable.It is worth noting that the system has shown good performance in terms of favorable predictions.
Common European Framework of Reference for Languages (CEFR) Standard in Bahasa Indonesia bagi Penutur Asing (BIPA) Textbook: A Competency Mapping Analysis

This research describes the Common European Framework of Reference for Languages (CEFR) in Bahasa Indonesia bagi Penutur Asing BIPA book “Sahabatku Indonesia” especially BIPA Levels A1, A2, B1, B2, C1, and C2. This study applies a qualitative descriptive approach by using a content analysis research design. The analysis shows that the Common European Framework of Reference for Languages (CEFR) is a Common European framework of reference for languages that includes learning, teaching, and language assessment. The CEFR concept is important known and studied by the learners/students and language learners/teachers foreign, especially in the context of learning Indonesian for Foreign Speakers (BIPA). Language Development and Development Agency, through the Center Strategy Development and Language Diplomacy (PPSDK), plays a role important in increasing the function of Indonesian to become an international language. This important role is realized, among others, by supporting language teaching Indonesian for foreign speakers (BIPA) in various countries. One of those supports is the preparation of BIPA teaching materials in the form of “Sahabatku Indonesia” in six book levels A1, A2, B1, B2, C1, and C2. Materials and learning tasks are developed on a text-based basis integrated learners can develop their language competence in the four skills: listening, speaking, reading, and writing various types of text. In addition, learning materials and assignments are designed in an integrated way to be able to develop Indonesian insight. For evaluation purposes, each unit is equipped with a structured task in the form of exercises.
Enhancing Students’ Reading Comprehension through the Implementation of TAR (Text Around The Room) Technique

This classroom action research aimed to investigate the implementation of the "text around the room" technique in enhancing students' reading comprehension skills, as well as identify the factors that influence the improvement of their reading comprehension abilities. The study was conducted over two cycles, with each cycle consisting of two sessions following the plan, action, observation, and reflection framework. The participants in this research were 34 eleventh-grade students in one of the schools in Pontianak. Data were collected through various means, including observation sheets, field notes, questionnaire, multiple-choice reading tests, and achievement scores. The findings of this study indicate that the implementation of the "text around the room" technique resulted in significant improvements in students' reading comprehension. Additionally, the study identified three key factors that influenced students' comprehension in reading: (a) the selection of appropriate reading materials, (b) student motivation, and (c) the teacher's approach to engaging with the students.
Improvement of the Professional and Methodical Training of Future Physics Teachers

The relevance of this study is conditioned by the fact that the law on education in the Republic of Kazakhstan was updated in 2020, which allows for considering the training of a future physics teacher from a new perspective. The purpose of this study is to develop and introduce instructional foundations for improving the system of professional and methodical training of future physics teachers in the Republic of Kazakhstan. Several models of this system are considered in detail: structural and multilevel. It has been proven that the basis of the system of methodical training for a future physics teacher is the course “Methods of teaching subjects (physics)”. For this purpose, the following research methods were used: analysis and synthesis, design, logical analysis, and the positions of scientific objectivity, systematisation in the study of the professional and methodical training of future physics teachers in the Republic of Kazakhstan. The paper provides a detailed description of the analysed discipline (goals, objectives, principles of choosing the content and design of pedagogical material, and features of the organisation of the educational process). This study provides vital insights into the development and implementation of improved training systems for future physics teachers in Kazakhstan. By focusing on both theoretical and practical aspects of teacher training and aligning them with labor market demands, it sets a precedent for creating more effective and adaptable educational frameworks. These advancements not only enhance the professional competencies of future physics teachers but also promise to elevate the quality of physics education in the region, ultimately contributing to the betterment of educational standards and practices.
A Comparative analysis of Video Summarization techniques for different domains

As technology progresses, a gigantic amount of video data is generated day by day. Pro-cessing such a huge video needs time and requires increased storage and computational power. Sometimes it is convenient for the user to watch a summary or highlight rather than a complete video, which is time-consuming. So, a fully automated solution is required to extract important segments from a video. Researchers have proposed multiple approaches/techniques for summarizing the videos, which resolve the problem of long videos and summarize them according to the video type. This survey and comparative evaluation of video summarizing techniques based on several domains are presented in this paper. Primarily, these methods are classified into different categories based on their methods or techniques used. Then an over-view of some the latest literature is presented with the dataset and evaluation approaches used. The review is also made related to the domain direction and concluded by presenting benefits and difficulties associated with current video summarization techniques
Towards Developing Word Sense Disambiguation System for Kashmiri Language

Background: A word, phrase, sentence or other communication is “ambiguous” if interpreted in multiple ways. The process of assigning the correct meaning to a word with respect to its context is known as Word Sense Disambiguation (WSD). WSD is intended to be a very imperious problem in Natural Language Processing (NLP) that requires proper attention as it impacts the performance of various NLP applications.Objectives: In this paper first attempt is made to propose a supervised machine learning Kashmiri WSD system.Material &amp; Methods: The dataset comprising of 500K tokens for this research study has been collected from different resources. A sense annotated corpus for fifty commonly used ambiguous Kashmiri words has been created using the manual annotation method. Kashmiri WordNet is used to extract senses for the target words. Decision-tree based classifier is trained using the features extracted from annotated corpus for carrying out WSD task. We have used context widow of ±3 to extract features that are used to train the classifier.Results: The proposed system is tested on all fifty target words and evaluation is carried using accuracy, precision, recall and F-1 measures. The proposed system reported 81.831% accuracy, 0.834 precision,0.816 recall and 0.824 F1-measure.Conclusions: This was the initial step towards developing the WSD system for Kashmir and it has shown good results. In the future we expect to use other algorithms to carry out this task with greater language coverage