Reviewerly/exHarmony huggingface dataset:
The Klasifikasi Jenis Ikan Berbasis Jaringan Saraf Tiruan Menggunakan Algoritma Principal Component Analysis (PCA)

Fish are cold-blooded animals that are widely used by humans. Fish are a diverse group of poikilothermic vertebrates with more than 27,000 species worldwide. A large number of fish species becomes a problem in distinguishing the types of fish. The purpose of this study was to create a fish type classification system based on the texture of artificial neural network-based fish imagery using K-Nearest Neighbors and Principal Component Analysis (PCA) algorithms. The data was taken through direct exploration and retrieved directly by researchers. The data only uses 3 types of fish as the object of further research conducted training and testing test data in the first, second, and third classes only one can not be recognized by the system, while the other data can be recognized by the percentage of success of 93% (Ninety-three percent).
DEVELOPING STUDENTS’ CREATIVITY THROUGH RESEARCH

This paper analyzes the concept of creativity as a component part of the research activity, both having a universal character, applicable in all spheres of human activity. The creative process is carried out in 4 stages (preparation, incubation, lighting and evaluation), on the realization of which depends if the solution for the researched problem will be found. In the learning process, the student manifests himself at the level of productive creativity (one of the four types of creativity), which involves a process of creating useful things based on the skills and abilities acquired, although these things can be achieved at a low level of originality. The research conducted by students refers to new knowledge, experiences, life lessons, obtained independently, being argued theoretically (with the help of scientific studies) and practically (in the laboratory called "literary work"). Within the research activity, the 3 dimensions of the creative personality are developed: imagination, judgment, taste.
Disparity estimation using Graph cuts for road applications

This paper proposes a new edge based stereo matching approach for road applications. The new approach consists in matching the edge points extracted from the input stereo images using temporal constraints. At the current frame, we propose to estimate a disparity range for each image line based on the disparity map of its preceding one. The stereo images are divided into multiple parts according to the estimated disparity ranges. The optimal solution of each part is independently approximated via the state-of-the-art energy minimization approach Graph cuts. The disparity search space at each image part is very small compared to the global one, which improves the results and reduces the execution time. Furthermore, as a similarity criterion between corresponding edge points, we propose a new cost function based on the intensity, the gradient magnitude and gradient orientation. The proposed method has been tested on virtual stereo images, and it has been compared to a recently proposed method and the results are satisfactory.
Prediction of Salinity Based on Meteorological Data Using the Backpropagation Neural Network Method

Salinity is the level of salt dissolved in water. The salinity level of seawater can affect the hydrological balance and climate change. The salinity level of seawater in each area varies depending on the influencing factors, that is evaporation and precipitation (rainfall). One way to find out the salinity level is by taking seawater samples, which requires a long time and costs a lot. In this study, the salinity level of seawater can be predicted by utilizing time series data patterns from evaporation and precipitation using artificial neural network learning, namely the backpropagation neural network. The evaporation and precipitation data used were derived from the ECMWF dataset, while the salinity data were derived from NOAA where each data was taken at the coordinate point of 9,625 113,625 in the south of Java island. Seawater salinity, evaporation, and precipitation data were formed into a 7-day time series data. This study conducted several backpropagation architectural experiments, that is the learning rate, hidden layer, and the number of nodes in the hidden layer to obtain the best results. The results of the seawater salinity prediction were obtained at a MAPE value of 2.063% with a model architecture using 14 input layers, 2 hidden layers with 10 nodes and 2 nodes, 1 output layer, and a learning rate of 0.7. Predicted sea water salinity data ranging from 33 to 35 ppt. Therefore, the prediction system for seawater salinity using the backpropagation method can be said to be good in providing information about the salinity level of sea water on the island of Java.
Development of Multimedia-Based Teaching Materials in Mastering Linguistic Aspects

The use of learning multimedia has numerous advantages, including accommodating variances in student learning styles, allowing students to choose the content to be studied, and allowing students to change their learning speed by selecting particular buttons given in multimedia learning. This study aims to investigate the development of multimedia-based teaching materials in the mastery of linguistic aspects of the understanding of listening to Mandarin. This research method in the form of literature review was conducted based on issues, methodologies, equations and further research proposals. The findings revealed that the understanding of listening to their language after the application of materials that indicate multimedia had an influence on the development of mandarin teaching material materials.So it can be concluded that, multimedia is one of the important tools in teaching understanding listening to mandarin. With the right elements and the right storyboard can help motivate students and improve listening skills.
Facemask Detector in Surveillance for COVID-19

Due to this unexpected pandemic we are going on these days, wearing a face mask became mandatory to save ourselves as well as others from the virus. But it is difficult to monitor every citizen whether he is wearing a mask or not. But it is very important. So, to overcome this problem we came up with a solution to monitor every citizen using a deep learning concept. So, we are developing a face mask detector with opencv/keras. This helps us to easily identify the persons wearing masks or not which helps us in taking safety measures according to it. We tried using different types of platforms such as mobilev2net and resnet architecture but the accuracy of resnet architecture is more compared to the other architecture.
Penerapan Rule-Based Expert System (RBES) Dalam Perancangan Aplikasi Sistem Pakar Untuk Mendiagnosa Penyakit Infeksi Saluran Pernapasan Akut (ISPA) Berbasis Android

Many people often assume that ARI is a mild disease, even though ARI has a fairly high level of danger, especially those who have low immune systems.ARI is a group of diseases caused by viral infections and has attacked the respiratory tract such as the lungs, nose, and throat.This ARI diagnosis research uses the RBES method, and will produce an expert system for diagnosing ARI based on various symptoms felt by the user.This expert system uses an Android base built on software called Thunkable.Based on the results of testing the level of acceptance of the application by the user, the figure is 96% for the ease of use aspect and 93% for the ease of understanding the features/menus in the application.Not only that, accuracy testing is also carried out and the expert system application created and developed has a 100% accuracy rate.
The Relationship between Self Regulated Learning Participants in Competency Test With Competency Test Results for Indonesian Midwives in South Sulawesi for the period July-September 2020

Background: Self-regulation in learning (Self-regulated learning) is a concept about how a student becomes a regulator for his own learning. Self-regulation is a process in which a student activates and supports cognition, behavior, and feelings which are systematically oriented towards achieving a goal. Learning outcomes are determined by effort rather than level of intelligence. The effort in question is that students are able to organize themselves to learn independently. &#x0D; Purpose: : This study aims to determine the relationship between self-regulated learning and the Indonesian midwife competency test. &#x0D; Methods: The research design used analytical survey with cross sectional study approach using snow ball sampling technique with a sample size of 192 respondents. &#x0D; Results: The results showed that there was no relationship between Self Regulated Learning and the results of the Indonesian Midwives Competency Test with a value of p = 0.236 (&gt; α value). The need for further research on other factors that affect the results of the Indonesian Midwives Competency Test.
Implementasi Algoritma RC4 pada Sistem Pengamanan Dokumen Digital Soal Ujian

The development of science and technology has led to changes in the use of documents in life to become digital data. However, this can cause problems, namely regarding data security and confidentiality. To increase security and confidentiality can be done with cryptographic algorithm RC4. The research method uses the Waterfall method. The result of this research is a website that can secure document files with * doc extension using the RC4 algorithm. The test was carried out using the blackbox test and the CrackStation test for encryption testing. The results of the test show that the website can run well and successfully implements the RC4 algorithm.
Students’ Characteristics and Level of Academic Performance in Estate Management Department, Federal University of Technology, Akure: The Nexus

Academic performance is one of the yardsticks in measuring the performance of Professionals in various disciplines. Thus, it ought to be given optimum attention lest educational institutions produce professionals that are below required standards. Therefore, this research assesses the factors that affect the academic performance of the Students of Estate Management, FUTA. In order to achieve this, the study examined the characteristics of students admitted into Estate Management Department, FUTA, their level of academic performance between 2007 and 2016, and analyzed the factors that affect their academic. Data was drawn from 131 students in 200 level, 300 level and 500 level. The analysis was carried out using percentage frequency table, graph and multiple regression analysis. From the research, it was found that, between 2007 and 2016, majority of the Students graduated with second class lower division. Academic performance was also significantly (p&lt;0.05) affected by age of Students, parental support, number of hours devoted for personal reading and number of units in place of worship. It is recommended that Parents should be made aware of their roles in the success of their wards/children, while students themselves are to be self-motivated so as to cultivate good reading habits. This will enhance their academic performance and at the long run, prepare students for the demands of the Estate Surveying and Valuation profession. Keywords: Academic Performance, Analysis, Estate Management, Factors, Students. DOI: 10.7176/JEP/12-27-06 Publication date: September 30 th 2021
Determining the Effectiveness of Using Remote Sensing Indices to Deriving Sabkhas in Wadi An-Natrun Depression – Egypt

Abstract The floor of Wadi An-Natrun Depression has a high level of salinity and occupies by a shallow salt lakes, which are characteristic geomorphologic landforms. In general, Wadi An-Natrun Depression is characterized by very arid climate. The geological formations of Wadi An-Natrun Depression range from lower Miocene, lower Pliocene and Quaternary deposits. This study attempts to determine the effectiveness of using remote sensing indicators in deducing sabkhas in the Wadi El-Natrun depression utilizing Landsat 8 OLI satellite images based on field data of laboratory analyzes of sabkhas soil samples collected through the field study. To achieve this, linear and multiple regression models were applied between soil salinity and electrical conductivity (ECe) on the one hand and remote sensing indices on the other hand, where the NDSI index had the highest correlation coefficient of 0.872. This was followed by the derivation of the Enhanced soil salinity index from (NIR), (SWIR) 2 and the NDVI index, which had  higher correlation  than NDSI with electrical conductivity (ECe) of 0.918 . المستخلص باللغة العربية يتميز قاع منخفض وادي النطرون بمستوى عال من الملوحة وتحتله بحيرات ملحية ضحلة والتي تعد من أهم المظاهر الجيمورفولوجية بالمنخفض ، وبصفة عامة فإن مناخ منخفض وادي النطرون يتسم بشدة الجفاف ، تتراوح التکوينات الجيولوجية بالمنخفض بين الميوسين الأسفل والبليوسين الاسفل بالإضافة إلي رواسب البليستوسين والحديث  . تحاول هذه الدراسة تحديد فاعلية استخدام مؤشرات الاستشعار عن بعد في استنباط السبخات بمنخفض وادي النطرون باستخدام صور القمر الصناعي لاندسات 8   OLI إرجاعا إلي بيانات فعلية للتحليلات المعملية لعينات تربة السبخات والتي تم جمعها من خلال الدراسة الميدانية . ولتحقيق ذلک ، تم تطبيق نماذج الانحدار الخطي والمتعدد بين ملوحة التربة والتوصيل الکهربائي (ECe) من ناحية ومؤشرات الاستشعار عن بعد من ناحية اخري ، حيث کان لمؤشر NDSI أعلى معامل ارتباط قدره 0.872. ، تبي ذلک اشتقاق مؤشر ملوحة التربة المحسن بالاعتماد علي النطاقات الطيفية  (NIR) و (SWIR) 2ومؤشر NDVI ، و کان لهذا المؤشر ارتباط أعلى من NDSI مع التوصيل الکهربائي (ECe) بلغ  0.918.
Employee Safety and Performance in Quick Service Restaurant during New Normal

Safety sounds in the employee's world who have direct linkage with the public.This creates the responsibility of the business entity irrespective of nature of business to ensure that every individual has to learn organizational safety values.Unsafe work environments have clear consequences for both individuals and the organization, henceforth some organization replace the revoked safety programs with more innovative ideas during this New Normal period.It would also help industry to ensure that employees take protection against unsafe practices during covid-19 situation.Employees of Quick Service Restaurant industries can remain motivated and ensured safety at their workplace, will enrich their performance.The study conducted through questionnaire survey with 74 respondents and judgmental sampling method is used to select sample respondents.Hence his paper is about the employees' safety and performance in Quick Service Restaurant (QSR) industry based on employee's opinion.The researchers concluded that to include clear and concise plans for safety in the organization addressing how to do the work safely by wearing masks, sanitizing themselves before having contact with another individual; maintain social distancing in these new normal plays a significant role in an individual's health and behaviour.
Sentiment Analysis of Consumer Misbehavior via Apparel Tweets

Purpose: The purpose of this research is to explore the sentiments of the consumer misbehavior during a discounts sale event.&#x0D; Design/methodology/approach: By using the sentiment analysis technique, the current research explores the sentiments of the consumers through the tweets they tweeted during a sale event. A total number of 489 tweets are downloaded out of which 222 tweets are found to have the expression of Neutral, 170 tweets with the Positive status, and 94 tweets are found to be Negative.&#x0D; Findings: The findings resulted in the emergence of five simulating factors of consumer misbehavior that aroused during the event and can cause problems for the retailers as well as other consumers. These five themes are: Superabundant, shortage of checkout counters, payment and delivery, violation of corporate social responsibility, and privacy violation.&#x0D; Research implications: This study contributes to the better understanding of the phenomenon consumer misbehavior from the perspective of the tweeters.&#x0D; Originality/value: This paper is one of the first and few that explores and analyze the perspective and sentiments of tweeters about the consumer misbehavior during a sales event.
Transition of University Libraries to Adapt to the New Normal: A mid- and post-COVID-19 Response

The aim of this research is to examine the response of university libraries during the COVID-19 outbreak and to establish the practices in carrying out their operational procedures, delivery models, implemented tactics and overall functioning.This study adheres to a quantitative approach.Though, during the pandemic, most of the university libraries were physically inaccessible to readers, they continued to adapt practices to interactively disseminate information and services to its users.Libraries were able to introduce and familiarize their users to new technologies and tools that could adequately serve students and faculty.This study reveals that the efforts and innovations of the libraries and librarians were instrumental in keeping alive the library mission, despite the loss of some services.Hence, this research focuses on revealing the practices adapted, their effectiveness, limitations and presents recommendations for the functioning of an efficient post-COVID-19 University Library framework.
Measuring Student Involvement When Taking Tests in E-learning Courses

The ongoing SARS-CoV-2 pandemic has significantly affected the education process of young people in primary, secondary, and tertiary education, as well as those who improve their competences through various courses and trainings. The practically incessant lockdown in education has resulted in a situation in which distance learning, which most often plays a supplementary role, now constitutes the basic form of education. This situation has forced the selection and adaptation of the available e-learning tools to the types of classes and levels of education. Despite great progress in the development of e-learning technologies, constant stimulation and maintenance of students’ interest in the content presented and monitoring their activity still pose a problem, which also concerns the education of computer science students in issues related to computer graphics. Currently, the preferred model of distance learning is based on various technologies and IT tools that enable the implementation of synchronous and asynchronous work. Prompt acquisition of data on students’ activity allows trainers to adjust the form and content of the presented material to their expectations. It also makes it possible to identify issues that pose great difficulties to students. This paper discusses modern solutions and trends in designing e-learning courses based on the new interactive e-learning platform Quizer. The aim of the research is to determine the course effectiveness using the user activity-monitoring module designed and implemented for the Quizer e-learning platform. The correctness of the answers correlates with the number of attempts to answer it (−0.65). The time devoted to a given question was usually high for questions with low correctness of answers.
Students' Perception of Utilizing Podcasts to Learn English Listening Skill

In this day of advanced technology, learning English can be done anywhere, not just through books, but also through the internet. Podcasts can assist in learning listening English during this pandemic since they can be listened to anywhere and at any time, and podcasts are also an enjoyable media. The purpose of this study is to find out what students think about using podcasts to learn English. The research sample was made up of ten people between the ages of 18 until 21, who filled out an online questionnaire. Podcasts are a flexible medium for learning English, according to one study. As a result of this research, it can be concluded that podcasts have become an interesting way to practice English listening skills.
PSYCHOGENETIC AND PSYCHOPEDAGOGICAL FUNDAMENTALS THE TRANSITION OF PERSONALITY FROM GIFTED THROUGH SYSTEMATIC WORK AND PROFESSIONAL SKILLS TO TALENT AND GENIUS

The article highlights the psychogenetical and psychopedagogical bases of the transition from giftedness to talent and genius of personality, including intensive systematic work and proficiency, аnd such special phenomena of creative activities of personality as impression, idea-fix, amplification, strategy and tactical differentiation of goal formation, its effective implementation as a matter of life and the affectation of success. These psychogenetical and psychopedagogical bases ensure the inclusion of man in the civilizational process of development of humanity and the individual as a subject of this process
Recommendation System for Voters using Classifier Rule

Abstract: Recommender System gives suggestions based on the user’s preferences and features of items. Ultimately its performance and efficiency depends on these factors and their representations. It also reduces the uncertainties by displaying item features. Here fuzzy logic in the recommendation system plays vital role to handle uncertainty. Fuzzy logic helps the user to provide most proper information related to the model. The multiple opinions from the user are taken on the basis of Voters database to take appropriate decision. In the proposed system classification of the database is done with the help of rules of decision tree and PART in which all the attributes are included whichever given. Comparison between these proves that PART works more efficiently than that of rules of decision tree. Keywords: Recommendation system for voters, Rules of decision tree, PART
DEVELOPING MULTI NON LINER REGRESSION EQUATION FOR OCCURRENCE OF BREAKING WAVES

The purpose of this study is to explore all characteristics that influence the occurrence of breaking waves, with these parameters chosen based on physical phenomenon behavior and the Buckingham theory process for providing an equation that can be utilized to forecast breaking wave performance. When compared to other parameters of fluid properties and wave characteristics, the results of mathematical dimension analysis with non-dimensional groups show that the parameters that have a major effect on the free surface phase at the braking moment can be summarized as: the depth of water (d), the incident height of wave (Hi) and the length of wave (L). The MNLR shows an ability to predict the breaking wave occurrence with R2 equal to 83%.