Reviewerly/exHarmony huggingface dataset:
A SURVEY ON CYCLOTOMIC SUBFIELDS

This paper is a survey on cyclotomic subfields and an improved version of the author's work in [1-5]. We show a relationship between cyclotomic and Dickson polynomials with polynomials of the form$$R_n(x)=\prod_{(i, n)=1}^{[(n / 2)]}\left(x-\varsigma_n^i-\varsigma_n^{-i}\right) .$$Based on these results, we show that $\mathbb{Q}\left(\varsigma_d+\varsigma_d^{-1}\right) \mid \Lambda=\mathbb{Z}\left[\varsigma_d+\varsigma_d^{-1}\right]$, where $\Lambda$ denotes the ring of algebraic integers. Given a divisor $d$ of $\left[\mathbb{Q}\left(\varsigma_m\right): \mathbb{Q}\right](m$ odd $)$, we also determine an algebraic integer $\alpha$ generating a subfield $F$ of degree $d$ over $\mathbb{Q}$, providing explicitly the minimum polynomial of $\alpha$ for the cases $d=2$ and $d=\phi(m) / 2$. Received: August 21, 2023Accepted: September 19, 2023
Graphic modeling of radioecological data using Violinplot

Data collection of environmental radioactive chemical contaminants is information of fundamental importance for decision-making in environmental planning and management. In this case, data analyses should be performed with a high level of significance within robust statistical planning. The objective of this study was to utilize the Violinplot as a graphical modeling tool for statistical analysis of radioecology data. To achieve this, a computational algorithm was developed in the Python language. The findings clearly demonstrate that the Violinplot is an outstanding data analysis tool for robust statistical planning in environmental management.
Machine Learning Software for the Detection of Violence from CCTV Live Footage

Automated CCTV analytics have become a potent resource for boosting public safety. The software program, which has sophisticated video analytics capabilities, isintroduced in this paper. The software program can instantly identify situations and notify concerned agencies such as the police and medical staff. Software processes video in three different ways: live streaming from external links, video uploaded from a computer, and real-time video from security cameras. Using past data for analysis, it scans CCTV feeds from public spaces for instances of violent crime, theft, burglary, and other crimes. The software’s key features are real-time CCTV stream analysis, alarm and report generatingand database updatingfor prompt response by the nearest police station.This software has the potential to significantly improve public safety measures by enabling proactive incident detection and real-time response, which will improve law enforcement operations.The software Program boasts key features such as real-time CCTV stream analysis, the instantaneous generation of alarms and reports, and seamless database updates accessible to the nearest police station for immediate response. This software's potential to significantly enhance public safety measures lies in its capacity to enable proactive incident detection and real-time responses, promising to optimize law enforcement operations and overall security.
Research on Teaching Strategies for TOEFL Writing Training Based on Task Based Teaching Method

Task based teaching method is a student-centered teaching model, with the core idea of teachers helping students complete a real task during the teaching process and completing the task through cooperation and communication between students. This study will combine TOEFL writing teaching practice and explore the implementation strategies of task-based teaching method in TOEFL writing training, hoping to provide reference and assistance.
MODELLING OF THE PREPARATION OF MASTERS OF PROFESSIONAL EDUCATION FOR ACTIVITIES IN THE INFORMATION AND DIGITAL ENVIRONMENT

The article theoretically substantiates the model of training and formation of future teachers' of vocational education readiness to work in the information and educational environment based on the development of their digital competencies. Upon analyzing the types of activities of a future teacher with a master's degree that are specified in the professional standard and the field of application of their digital competencies, the research paper reveals their interconnection and presents the possibilities of developing these graduate competencies within the proposed educational and professional master's program. The program is elaborated upon studying the applied profile of the future teacher's digital competencies. The research methodology is based on the analysis of the digital competencies of the teacher and the logic of elaboration of the subject preparation of future masters for successful and effective professional activity in the context of information and digital activities. The content of the teacher’s basic digital competencies is analyzed in the study; a model of training and formation of a graduate's professional readiness to work in the information and digital environment based on the development of relevant competencies is proposed; the content of the educational and professional program "Computer Technologies in Management and Education" for the master's degree in the field of knowledge 01 Education/Pedagogy, specialty 015.39 Vocational Education (Digital Technologies) on the basis of the development of digital competencies of a future specialist within his/her professional training is suggested. The research demonstrates that it is necessary to include subjects aimed at developing digital competencies at a certain level in the content of their professional training in order to increase the effectiveness of teachers' activities in the modern conditions of informatization and digitalization of society and the formation of a virtual social and educational system.
Deteksi Kantuk Untuk Keamanan Berkendara Berbasis Pengolahan Citra

Traffic accidents are increasing in Indonesia. One of the main causes of accidents is driver fatigue. Drowsiness generally occurs at night when the body needs rest. However, some are caused by fatigue during activities. When driving a car, this situation must be taken into account to avoid the number of accidents caused by fatigue. Because of these problems, we need a tool that can detect automatically whether the driver is asleep or conscious using the facial landmark method. The initial process starts with streaming the camera by the webcam which will be processed by the raspberry pi 3b to detect the face area using the eye aspect ratio then the algorithm on the eye aspect ratio is used to detect sleepy eyes with the output in the form of a speaker, where the speaker will emit a sound that can be changed according to at the will of the driver. This research succeeded in designing a drowsiness detection device and obtaining data from tests that have been carried out by detecting closed or closed eyes with accuracy results using the facial landmark method and eye aspect ratio detecting drowsiness with an average accuracy of 90.4%.
Aplikasi Penjadwalan Pengadaan Barang Menggunakan Algoritma Apriori pada Logistic Rumah Sakit

The purpose of this study is to design an application for scheduling procurement of goods at the Logistics of Awal Bros Hospital Makassar and to apply the a priori algorithm for scheduling procurement of goods at the Logistics of Awal Bros Hospital Makassar. The results of this study are that based on application testing carried out on Gtmetrix, the results for pageSpeed Score 96% YSlow Score 90%, which means the program can function properly and based on program functionality testing with blackbox that the application is valid and can be applied. The conclusion of this research by applying the Apriori algorithm. This application displays the priority of procurement requests in the form of print and atk categories based on the categories of goods that are frequently requested and can display the scheduling of procurement of goods to restock goods by looking at the functions of the red, orange and green buttons on the application.
CLUSTERING OF STATE UNIVERSITIES IN INDONESIA BASED ON PRODUCTIVITY OF SCIENTIFIC PUBLICATIONS USING K-MEANS AND K-MEDOIDS

Scientific publication is a measure of the performance of a university. Universities that are owned and operated by the government and whose establishment is carried out by the President of Republic Indonesia are state universities (PTN). One of the efforts that can be made to determine the quantity and quality of state university scientific publications is to conduct PTN clustering based on the productivity of scientific publications. This clustering aims to see the position of state universities in Indonesia into 3 categories, namely “high”, “medium”, and “low”. One of the clustering methods that can be used is cluster analysis. The cluster analysis used in this study is k-means and k-medoids with Silhoutte's validity. Based on the results of the analysis, it was found that the Silhouette k-means value (0.8018) was higher than the Silhouette k-medoids value (0.7281). Therefore, in this case, it can be concluded that the k-means method is better than the k-medoids. The results of cluster analysis using K-Means are 1) PTN with high productivity of scientific publications, namely ITB, ITS, UGM, and UI. The four PTNs are PTN as Legal Entity (PTN-BH) located in Java, 2) PTN with medium scientific publication productivity consists of 16 PTN which were dominated by PTN-BH and PTN as Public Service Board (PTN-BLU) with the largest location in Java, and 3) PTN with low scientific publication productivity consisted of 102 PTN which were dominated by PTN as general state financial management (PTN-Satker) with most locations outside Java.
Rancang Bangun Aplikasi Pengadaan Barang dan Jasa Universitas Negeri XYZ dengan Metode Extreme Programming

The Indonesian government has provided the LKPP application in procuring goods and services for government agencies. However, several procurement processes at XYZ State University still do not use the LKPP application. Some of the reasons that are often stated are that the goods available in LKPP are not complete and the location of suppliers in LKPP is outside the city and the province. It is required to create an application for them at XYZ State University to promote digitization and transparency in procuring products and services at XYZ University. This application development uses the extreme programming method. This research succeeded in identifying the functionality requirements required in e-purchasing applications. The results of this research were able to realize 91.6% of all the necessary features. Some features that can be recognized include dashboard features, user access rights sharing features, goods/services requirements features, goods/services offering features, goods/services offer approval features, payment features, and specification features. The feature that has not been fulfilled is the direct purchase feature. The applications produced in this research may be adapted at universities or other government agencies.
A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION

Binary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage. The performance of this estimation is often affected by the sample size and data characteristics, and to deal with this problem, the Bayesian method can be employed as an estimation. This research aims to use Regression Logistic with Bayesian estimation to figure out the determinant of recent in-migrants status in Special Region of Yogyakarta 2021, where Yogyakarta’s recent in-migrants in 2021 took the first position in Indonesia, whereas this city has the lowest regional minimum wage in Indonesia. The Bayesian method was used in this study to obtain a better estimate than previous studies using maximum likelihood estimation, because Bayesian is unbiased for unbalanced cases which are often found in logistic regression. This research results show that particular variables such as resident age, resident marital status, resident main activities, resident latest education, and resident homeownership have significant effect on resident migrating to Special Region of Yogyakarta, Indonesia
CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA

Based on Covid-19 case data as of July 2022, South Sumatra Province has the 15th highest rank out of 34 provinces in Indonesia, with confirmed cases totalling 82,407. This showed that the spread of Covid-19 in South Sumatra was still high. This study aimed to determine the cluster of regions in South Sumatra based on Covid-19 case data. Clustering regions used agglomerative hierarchical method. The process began with standardizing the data, calculating the similarity distance between objects, determining the optimal number of clusters using the Silhouette method, and the last was clustering analysis. This study found that the optimal number of clusters consisted of two clusters. The clustering process starts with objects 2 and objects 4 because these two objects have the closest similarity distance. In conclusion, objects with the closest similarity distance (in one cluster) have the same data movement (fluctuation).
Pemanfaatan Teknologi Computer Vision Untuk Implementasi Deteksi Masker Menggunakan Metode Supervised Learning

The use of masks is still very strict in public places, especially in hospitals, this is solely done to prevent the spread of the corona virus again. The purpose of this research is to assist examination workers or health protocol workers in supervising the use of masks in public places. Mask detection is a solution to this problem, by utilizing computer vision technology and applying supervised learning algorithms. For this mask detection classification method, this system uses the Naive Bayes method. The output of this mask detection system is planned to distinguish people wearing masks and not wearing masks, by giving red labels to people who are not wearing masks and green labeling to people wearing masks. The distance aspect is used in testing this mask detection system, the system is able to work well by getting an error rate presentation below 2% and getting the highest accuracy of 100% with an average percentage value of 98%. On the other hand, there are still weaknesses in this system, the use of brown masks that are in harmony with skin color can worsen the results of the classification system
Analysis of Teachers' Efforts to Improve Elementary School Students' Reading Comprehension Ability in Indonesian Language Learning

The large number of students who experience difficulties in understanding reading texts reflects challenges in education that require more attention to the development of reading comprehension skills among students. Therefore, the aim of this research is to describe teachers' efforts to Improve Elementary School Students' Reading Comprehension Ability in Indonesian Language Learning. The research method used is a qualitative method with the type of research used is a case study. The informants in this research were 2 grade 5 (fifth) elementary school teachers and grade 5 (fifth) elementary school students who were selected based on purposive sampling technique. Data collection techniques were carried out using interviews, observation and documentation. The data obtained was then analyzed using the Miles and Huberman model, namely with the stages of data reduction, data presentation, and drawing conclusion. To ensure the validity of the data, this research uses data triangulation techniques. The study's findings indicate that teachers can assist students in grade 5 in primary school improve their reading comprehension skills by using books to teach additional literacy within the first 10 minutes before learning begins.
STRATEGIES FOR COPING ANXIETY BY THE STUDENTS IN CONDUCTING ORAL PRESENTATIONS

The purpose of this study is to cope students’ anxiety in conducting oral presentation in English for Interpersonal Communication course by applying strategies proposed by Kondo. The students taking part in the first semester in English of Interpersonal Communication course were chosen as the subject of this research. This research used descriptive qualitative method according to student’s experiences. Interviews were performed to collect data. The results show that there are several students show speech anxiety in delivering their oral presentation. Some students have also done some strategies such as concentration, positive thinking, preparation, and relaxation. Besides, the students have several practices every day to cope their anxiety.
Types of Organizations and Their Scope of Cooperation in Textile Research Awarded by the National Science and Technology Awards in the Past 40 Years

The National Science and Technology Award is the highest award in the field of science and technology in the People&amp;#39;s Republic of China, which was formally established in 1978 after China&amp;#39;s reform and opening up, and it has been forty years since then. The textile award-winning research in the National Science and Technology Award is one of the important characterizations of the progress of textile science and technology and the development of the textile industry. Through the statistical analysis of the research organizations of the textile award-winning research of the National Science and Technology Award from 1979 to 2020, it is found that enterprises have been the most dominant type in the past forty years; research institutes were the important force of textile science and technology research before 2000, but their influence gradually declined after 2000; the scientific research strength of the universities has risen and the scientific research resources are concentrated in the main universities with textile specialties; different types of research organizations have their cooperation methods, and the forty years have experienced the transformation from the intra-city to the intra-country cooperation, among which, the enterprises have the highest degree of freedom on the space of cooperation.
Machinery Prognostics and High-Dimensional Data Feature Extraction Based on A Transformer Self-Attention Transfer Network

Machinery degradation assessment can offer meaningful prognosis and health management in-formation. Although numerous machine prediction models based on artificial intelligence have emerged in recent years, they still face a series of challenges: (1) Many models continue to rely on manual feature extraction. (2) Deep learning models still struggle with long sequence prediction tasks. (3) Health indicators are inefficient for remaining useful life (RUL) prediction with cross-operational environments when dealing with high-dimensional datasets as inputs. This research proposes a health indicator construction methodology based on a transformer self-attention transfer network (TSTN). This methodology can directly deal with the high-dimensional raw dataset and keep all the information without missing when the signals are taken as the input of the diagnosis and prognosis model. First, we design an encoder with a long-term and short-term self-attention mechanism to capture crucial time-varying information from a high-dimensional dataset. Second, we propose an estimator that can map the embedding from the encoder output to the estimated degradation trends. Then, we present a domain dis-criminator to extract invariant features from different machine operating conditions. The case studies with the FEMTO-ST bearing dataset and the Monte Carlo method for RUL prediction during the degradation process are conducted. The experiment results fully exhibited the signif-icant advantages of the proposed method compared to other state-of-the-art techniques.
Usage of E-Resources of Libraries Agricultural Institutions in India

This study presents an overview on usage of e-resources of agricultural university libraries in Rajasthan, India. A crucial national resource is thought to be information. Agriculture has a significant role in the development of the economy. A rise in farm production as a result of agricultural technological advancement boosted the farmer's income and well-being. The major goal of agricultural research is to increase the yields from increasingly dispersed landholdings in a healthy and sustainable way. A growing population necessitates more agricultural output to meet their needs. A requirement for encouraging farming and raising agricultural output is agricultural research.
YouTube as a Media for Developing English Proficiency: Experiments on Elementary School Students in Indonesia

Technology continues to develop so that it causes changes in the pattern of human life without exception, also in education. This technological advancement requires teachers to develop and adjust additional competencies, one of which is using new technology in the learning process. Learning media can be interpreted as learning process aids that include subject matter information. This study aims to determine whether there is an influence of the use of YouTube videos on improving students' English learning outcomes. The method used in this study is a quantitative approach with a type of Quasi Experiment with a form of nonequivalent control group design. This research uses data analysis techniques, namely descriptive statistical analysis, analysis prerequisite tests, hypothesis tests, and n-gain analysis. The results of the hypothesis test in this study obtained the sig value. (2-tailed) 0.000 &lt; 0.05. Thus, it can be concluded that Ha was accepted and Ho was rejected, this shows that the variables of YouTube video-based learning media have a significant effect on student English learning outcomes.
DETERMINATION OF BANK INDONESIA SCHOLARSHIP RECIPIENTS USING NAÏVE BAYES CLASSIFIER

A scholarship is a grant given to students as financial aid for education. One of the most sought-after scholarships is the scholarship from Bank Indonesia. Currently, the selection process for Bank Indonesia scholarship recipients still involves verifying the completeness of the administrative documents of the prospective recipients. Manual administrative verification requires a long time for data processing and re-verification. Therefore, there is a need for a data classification system to assist in the decision-making process for Bank Indonesia scholarship recipients. This study aims to implement the naïve Bayes classifier method to classify Bank Indonesia scholarships accurately. The variables used include gender, semester, parental income, grade point average (GPA), achievement, organizational activity, and the number of dependents. This research found that the naïve Bayes classifier method for classifying Bank Indonesia scholarship recipients can be done accurately with an accuracy rate of 86,84%.