Reviewerly/exHarmony huggingface dataset:
Sentiment analysis of emotional words in a classical text web corpus

This study explores the emotional words based on sentiment analysis. The term 'emotional words' refers to feeling-related words that explain an individual's emotions. This study employed data from a corpus site, namely the Malay Concordance Project, a compilation of l65 texts and 5.8 million words, including l40, 000 versions of text. An analysis sentiment model was employed through collostructure. This model combined a number of pertinent elements, including the basic corpus approach, basic word approach and basic dictionary approach. Three emotional words were chosen based on their high degree of representativeness in the corpus context. These were anger-related words for the emotion of anger, amok/rage-related words for the emotion of rage, and revenge-related words for the emotion of revenge. The results from the testing of the words anger and rage showed negative sentiments; meanwhile, revenge-based words exhibited positive sentiments. This was because the context of the collostructure facilitates sentiment data reading and can be carefully filtered.
Recommendations for increasing the security of a web resource in the Amazon Web Service cloud environment

This article provides information about web resource structure, software development techniques, and known web attacks against web resources. Recommendations are provided on protection against web attacks, their prevention and detection by implementing secure development methodology and using vulnerability detection tools. Recommendations for the protection of the infrastructure of the web resource are offered.
The Stress of Vigilance May Influence Reports of Simulator Sickness: A Factor Analysis of the SSSQ and SSQ in Auditory Vigilance Tasks

This study investigated the relationship between stress and simulator sickness within auditory vigilance tasks as a follow-up to reports that stress was linked to simulator sickness in visual vigilance tasks. The Simulator Sickness Questionnaire (SSQ) and the Short Stress State Questionnaire (SSSQ) were employed in two different experiments utilizing auditory vigilance tasks. Correlational relationships between reported stress and simulator sickness were investigated using exploratory factor analysis. These results support findings that the stress of vigilance is associated with reports of simulator sickness in vigilance tasks. Since simulator sickness should not occur within an auditory task due to a lack of visuo-vestibular conflict, these findings also support the notion that the stress of vigilance exaggerates reports of simulator sickness symptomology. These stress-related reports of simulator sickness symptomology in auditory vigilance are a potential concern for the validity of simulator sickness assessments within tasks that require vigilance.
SUVS: Secure Unencrypted Voting Scheme

In this paper, we propose a light-weight electronic voting protocol. The approach used by our protocol to conceal the ballots does not imply encryption, and guarantees the privacy of the direction of the vote unless all the contestants (parties) agree to do so. Our method is based on the division of the ballot into different pieces of information, which separately reveal no information at all, and that can be latter aggregated to recover the original vote. We show that, despite its simplicity, this scheme is powerful, it does not sacrifice any of the security properties demanded in a formal electronic voting protocol, and, furthermore, even in post-quantum scenarios, neither the casted votes can be tampered with, nor the identity of any elector can be linked with the direction of her vote.
Automatic Face Mask Detection On Gates To Combat Spread Of Covid-19

The COVID-19 pandemic has spread across the globe, hitting almost every country. To stop the spread of the COVID-19 pandemic, this article introduces face mask detection on a gate to assure the safety of Instructors and students in both class and public places. This work aims to distinguish between faces with masks and without masks. A deep learning algorithm You Only Look Once (YOLO) V5 is used for face mask detection and classification. This algorithm detects the faces with and without masks using the video frames from the surveillance camera. The model trained on over 800 video frames. The sequence of a video frame for face mask detection is fed to the model for feature acquisition. Then the model classifies the frames as faces with a mask and without a mask. We used loss functions like Generalize Intersection of Union for abjectness and classification accuracy. The datasets used to train the model are divided as 80% and 20% for training and testing, respectively. The model has provided a promising result. The result found shows accuracy and precision of 95% and 96%, respectively. Results show that the model performance is a good classifier. The successful findings indicate the suggested work's soundness.
ANALISIS KESULITAN SISWA DALAM MENEMUKAN GAGASAN POKOK PADA TEMA CUACA SUBTEMA PENGARUH CUACA BAGI KEHIDUPAN MANUSIA PADA SISWA KELAS III SEKOLAH DASAR

Reading skills are very important for students because the center of learning is reading. Various subjects and information that can be known and mastered by students through reading activities. When entering elementary school age, children are taught to read and write. In this case, children are required to improve their reading skills to obtain information. The purpose of this study was to find out the difficulties experienced by students in the Indonesian language subject in finding main ideas on the weather theme, the sub-theme of the influence of weather on human life in third grade elementary school, describing solutions to overcome difficulties in finding main ideas. The type of research used is a qualitative research type, with a case study research design. The subjects of this study were the third grade students of SD 2 Ngembal Kulon, totaling 15 people. In this study data collection using test methods, documentation, interviews, observation. Data analysis techniques from data reduction, data presentation, and drawing conclusions. The results showed that the causes of difficulty in finding the main idea were not understanding the meaning of the main idea, vocabulary that did not know its meaning and sentences were too long. Based on the results of the research and several other relevant studies, the solution to overcome the difficulty of finding the main idea of paragraphs for third grade students of SD 2 Ngembal Kulon is that teachers can optimize the use of media that can attract students' attention and change the use of methods or learning models that have been used so far to be more varied.
Aplikasi Quizlet Dalam Meningkatkan Kosakata Bahasa Jerman

Abstract. This research is a classroom action research that aims to determine the increase in students' German vocabulary mastery by using the Quizlet application. The research subjects were students of class X IPS 1 SMA Kartika XX-1 Makassar, totaling 19 people and carried out in two cycles. The data in this study consisted of qualitative and quantitative data. Qualitative data was obtained through observation and quantitative data through vocabulary tests (multiple choice, true-false, and matchmaking). The results of data analysis showed that the scores obtained by students on the German vocabulary proficiency test were 70.31% in the first cycle and 96.42% in the second cycle. This shows that the use of Quizlet can improve the vocabulary mastery of X IPS 1 students at SMA Kartika XX-1 Makassar.Keyword: Quizlet, Vocabulary, German
“WITHERS, DISAPPEARS” BY V. M. SHUKSHIN AND “CONVERSATION” BY I. P. POPOV: INTERMEDIALITY AND INTERTEXTUALITY

The article presents an attempt to study the phenomenon of “parallel” creativity, mutual influence and mutual citation of the writer and the artist on the example of the works of V.M. Shukshin and I. P. Popov. The artistic features of the story “Withers, disappears” (1966) are considered in the context of an intra-genre modification (story-skit), taking into account the intertextual and ekphrastic impact of Popov’s painting “Conversation” (1967). Common and overlapping autobiographical, compositional, plot, and pictorial components of the works are revealed. The tendencies of the intermedial dialogue of various aesthetic manifestations within the framework of the general problem, built on the principles of syncretic types of art – theater, cinema, are determined.
A Rician Noise Prediction and Removal Model for MRI Head Scans using wavelet based Non-Local Median Filter

In the medical imaging field, anatomical structure preservation is a difficult task during the denoising process. Magnetic resonance imaging (MRI) scanner corrupts the images by the Rician noise during the acquisition process. Rician noise affects the diagnosis and treatment planning for the subjects. Regenerating noise-free images is a time-consuming process with limited MR scanner resources available in developing countries. Therefore, the medical industry utilizes the advancement of computer-aided automatic denoising methods. This article presents a novel denoising method for Rician noise using a wavelet-based non-local median filtering (WNLMed) technique. The work contains three phases: noise estimation, wavelet thresholding using a lifting scheme, and non-local median filter (NLMed). Materials used for this experiment are collected from the Brainweb repositories and tested with validation metrics such as normalized absolute error (NAE), peak signal to noise ratio (PSNR), structure similarity index measure (SSIM), the figure of merit (FOM), and compared with the state-of-the-art methods. The method yields high PSNR value than other methods.
Pengembangan Model Pembelajaran Kooperatif Berbasis Literasi Berkarakter dengan Game Who Am I

The development of a cooperative learning model based on literacy character with the game Who am I aims to improve literacy activities, and student learning outcomes in elementary school. This research method is Research and Development (R&amp;amp;D). The approach used in research is Research &amp; Development. This research uses descriptive qualitative data analysis techniques. The sample in this study was grade V students of Soekarno Hatta Elementary School who numbered 10 students. Data collection is done by observation, interviewing and data collection related to learning models so as to get information as a cooperative learning model development planning. A cooperative model based on literacy character with the Who am I game that has been tested limited shows literacy activities run 100%, students are active in Q&amp;amp;A activities in the game, and learning results show all students complete with an average learning outcome of 80.3. In conclusion, the cooperative learning model based on literacy in the character of the game Who am I is effective in improving the literacy activities of grade V students at SD Soekarno Hatta, is seen from the improvement of learning outcomes and assessment. &#x0D; Keywords: Game Who am I, Literacy, Cooperative Learning
Implementation of a Breakpoint Halfway Discretization to Predict Jakarta's Air Quality

Despite the pandemic, Jakarta is one of the most polluted cities in the world. Knowing the daily air quality forecast aids the community, particularly Jakarta residents. Among these is the ability to protect oneself from dangerous air. The multinomial naive Bayes and the decision tree-ID3 methods are popular and perform well. Both of these strategies, however, require categorical variables. This need necessitates the implementation of a discretization technique for numerical variables. The purpose of this study is to predict Jakarta's air quality using the multinomial naive Bayes and decision tree method based on Particulate Matter 10 µg (PM10), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Ozone (O3), and Carbon Monoxide (CO). These continuous variables are discretized in two ways: using all midway breakpoints or halfway mixture breakpoints. The results indicated that the decision tree method with the mixture breakpoints halfway approach performed better than the multinomial nave Bayes method, with an accuracy of 98.90%, a specificity of 98.92%, a sensitivity of 75.00%, a precision of 75.00%, and an F1 score of 97.81%.&#x0D; &#x0D;
Teachers Solutions to English Teaching and Learning Problems at Senior High Schools, An Analysis of Teachers Classroom Action Research Reports

This study was conducted to investigate the solutions to English teaching and learning problems at senior high schools in teachers classroom action research reports. The methodology of this study was a content analysis of the problems and solutions in teachers classroom action research reports. The data were the problems and teachers solutions in the English teaching and learning at senior high school in teachers classroom action research reports. The data sources were thirtyone reports of listening, speaking, reading, writing, and lexicogrammar. This study found that the teachers utilized various technique or method to solve the problems in four skills and lexicogrammar (such as, quartet cards, jigsaw, a series of pictures, etc.), even though they had similar problems. There were two solutions in listening problems, eleven solutions in speaking problems, eight solutions in reading problems, six solutions in writing problems, and one solution in lexicogrammar problem. Furthermore, there were reports which had different problems similar solutions (the use of quartet cards in speaking), and similar problems similar solutions (the use of jigsaw in reading and the use of series of pictures in writing).
Detection threshold value by using optimization algorithms

Choosing optimal threshold value is a very important step in image segmentation. In this paper, we suggest a new method for image thresholding by using an optimization algorithm to detect a good threshold value that separates the image into foreground and background. In the image which is bi-model histogram contain two peaks , it needs one threshold to separate the object about the background when the histogram became complex more than two peaks needs more than one value a Multilevel Threshold (MT). For the classical techniques of obtaining threshold values, their efficiency and accuracy have been already proved for a bi-level segmentation. Although they can be expanded for MT, their computational complexity increases exponentially when a new threshold is obtained. The MT problem has also been handled through evolutionary optimization methods. In general, they have demonstrated to deliver better results than those based on classical techniques in terms accuracy, speed and robustness. Proposed method used two optimization algorithm harmony search algorithm (HS)and electromagnetic field optimization(EFo) to detect optimal threshold values and used for segmentation. These algorithms select random samples from the histogram of image as search space and used Kapur’s method as objective function to measure the goodness of these values. Some of misclassification measurement s used to compare the result segmented image with it’s ground truth from Berkeley data set .Another performance measurement used to evaluate the proposed methods for image segmentation
Spatial Regression Analysis of 2020 Pulmonary TB Cases in North Sumatra Province

Tuberculosis is a disease caused by a contagious infection of the bacterium Mycobacterium tuberculosis which is transmitted through droplets in the air. Based on information from the Indonesian Ministry of Health, there has been an increase in cases since 2017 by 254 cases per 100,000 population, in 2018 250 cases per 100,000 population and in 2019 to 254 cases per 100,000 population in Indonesia. Based on a report from the Central Statistics Agency of North Sumatra, in 2018 cases of pulmonary TB in North Sumatra Province as a whole reached 23,237 cases, while in 2020 there were around 33,779 cases of the spread of this disease. This indicates an increase in cases of 10,542 cases in the span of two years. This study aims to provide an overview related to the distribution pattern of the number of pulmonary TB patients in the North Sumatra Province area by utilizing technology based on geographic information systems using spatial statistical regression method. The applications used in this processing include ArcGIS in processing data and GeoDa in regression analysis. The results showed that there was a correlation between the population density variable between regions and the level of pulmonary TB sufferers in North Sumatra. Based on the test statistic value in the Spatial Autoregressive Model is 2.5634 with a p-value of 0.473466 indicating the decision to reject H0 which states that there is a spatial dependence between regions with population density variables and the high and low cases of pulmonary TB that occur in districts and cities in North Sumatra Province and supported with the results of the autocorrelation Moran's I index obtained is 0.268999 with a p-value of 0.000001 so that it shows that there is a positive spatial autocorrelation.
Tour Guide Backpacker Application Designing Bengkulu City Based on Android

One of the trends in enjoying tourism that is currently developing is backpacking. Generally, backpackers are young tourists who want new experiences by doing tours at the least possible cost, they use conventional tourist transportation models and carry out their activities freely without hiring the services of a tour company. Backpacking has its own advantages but there are some issues especially for beginner backpackers. They will experience difficulties when traveling to an area that is rarely visited by other backpackers. For that we need an application that can be used as a reference for beginner backpackers who want to visit tourist areas, especially the city of Bengkulu. Applications that can accommodate data needs of a backpacker, especially regarding cheap hotel data, types of city transportation to take, recommended tourist attractions including the amount of costs required. The application will be integrated with firebase control so that the application becomes dynamic because the data is obtained from the database. To complete the application, the author will also use the google map API for more details about tourist locations, restaurants and inns that the user wants to visit. The frond end application can be run on the android operating system and is built using the java and xml programming languages, while the back end application is built using PHP and MySQL. To be able to display the map requires a separate API which is obtained from the google console. Applications use JSON data as a link between the front end and back end of the application. It is hoped that this application can help novice backpackers enjoy their travels in Bengkulu City which at the same time can be a guide for beginner backpackers who have never backpacked and do not understand the right and safe ways to travel to certain destinations with minimal costs.
Expedition to the Vladimir Province 1855 in the Сreative Biography of S. V. Maksimov

The article is devoted to the journey of the writer-ethnographer S. V. Maksimov in the Vladimir province, which took place in the summer of 1855 during his first large expedition — in the Vladimir, Nizhny Novgorod and Vyatka provinces. Despite the fact that Maximov’s impressions were not immediately reflected and formed into a framed text, they had a significant impact on the writer’s work. Comparison of the first published archival manuscript of Maximov, dedicated to the crafts of Sudogodsky district, and the books “In the East” (1864), “Siberia and penal servitude” (section “Prison Dictionary”) (1871), “Wandering Russia for Christ’s Sake” (1877), “Winged Words. It is not for nothing and not for nothing that the word is said and will not break until the century” (1899), as well as the involvement of sources used by Maximov, demonstrates the features of the writer’s creative laboratory, the transformation of factual material into an artistic text. The study of the results of Maksimov’s journey allows to speak about the significant role of the trip both for Maksimov’s creativity (in terms of the accumulation of aterial to which he will repeatedly refer, the formation of the principles of writing and ethnographic work, etc.) and for the local history of the Vladimir Region.
May Computers have Emotions? Establishing an AI Device based on Affective Computing Technologies

In the AI blueprint, allowing computers to have emotions is an important milestone in building emotional machines.In Picard's announcement, such an idea was framed.In this paper, we describe how to develop an emotion system and install it on smartphones to enable them to express emotions.This study also examines users' attitudes and emotions toward emotional information sent by machines, and the influence of emotional systems on user behavior.The purpose of this study is to explore the factors that developers should focus on when developing emotional machines.According to the results of this study, the level of attention paid to emotional information determines the quality of the emotional system, which triggers certain behaviors in users.The study recruited more than 100 people with smartphone experience.During the experiment, participants were free to operate the system and interact with system agents.Most of the participants were interested in, influenced by, and believed that the developed system enabled their smartphones to express emotion.A fairly high percentage of participants viewed emotional notifications provided by AI devices, enabling participants to address adverse smartphone conditions in a timely manner and for system agents to provide users with positive emotional feedback.The findings of this study provide an important contribution to affective computing, realizing the idea of allowing computers to have emotions.
Finding Optimal Routes for Main Haul Roads Development in Mountainous Open Pit using A* algorithm

The main haul roads can significantly affect the cost associated with hauling ore and waste to the concentrating mill or waste dump, so finding optimal routes for main haul roads development is very important for opening-up the mountainous open pit. In this study, we propose a new method to search the optimal route for main haul roads development using A* algorithm based on a 3D terrain model of the mountainous surface mine.
THE CORRELATION BETWEEN STUDENT’S VOCABULARY MASTERY AND READING COMPREHENSION

This study aimed to investigate (1) How student performance in vocabulary mastery (2) How student performance in reading comprehension (3) Is there any correlation between student’s vocabulary mastery and reading comprehension. This research used a descriptive research method. The researcher focused on the correlation between vocabulary mastery and reading comprehension at XI grade MAN Selayar. The number of sample was 24 students and used random sampling technique. The researcher used test as instrument. In addition, the data collection techniques used a questionnaire. The researcher finding was found that the vocabulary mastery of the XI grade of MAN Selayar was categorized into poor. It was indicated by the mean score (82.20) and the students reading comprehension was categorized fair. It was indicated by the mean score (84.64). Meanwhile, the results of the correlation were found with the results of 0.914. From these results it has been concluded that the correlation between vocabulary mastery and reading very strong. Because based on the product moment the correlation value calculation formula is 0.914, and that has included very strong value.