Reviewerly/exHarmony huggingface dataset:
Relationship of Multiple Intelligence with Cognitive Learning Outcomes of Students in Class VIII Science Subjects of SMP 13 Padang

ABSTRACT Intelligence is an ability, with its completeness process, which is capable of handling various problems. Each student has a tendency for intelligence from nine intelligences, namely Linguistic, Mathematical-Logical, Visual-Spatial, Intrapersonal, Naturalist, and Existential. This intelligence is called Multiple Intelligence. This research is a descriptive study, using a correlational study approach between multiple intelligences and student learning outcomes. To find out the relationship between variables, a correlation test was used using the Spearman-Rank correlation. The data obtained were analyzed by normality test. The results obtained in the form of population data are normally distributed. Furthermore, the data analyzed using correlation analysis with the results in the form of correlation variables that have no effect. Based on the results of the study in general it can be concluded that the intelligence of multiple intelligence has a significantly different relationship to learning outcomes. Although with a significantly different level of correlation, but multiple intelligence still has a relationship with learning outcomes, the point is that if the correlation coefficient increases, the learning outcomes of students will be more dominant. The coefficient of determination is 24.85% and 7.99% shows that learning outcomes in science subjects in class VIII 4 and class VIII 5 are influenced by multiple intelligences.Keywords: multiple intelligence, cognitive learning outcomes
An Effective Spam and ham word Classification Using Naïve Bayes Classifier

Email is a popular way for individuals on the Internet to communicate.The Number of emails received and sent has increased due to huge growth of internet users.Emails are used for many purposes like in business, colleges, marketing, for job searching, for chatting purpose, for internships and many more.It is used for personal or in business for sharing information.Spam emails are unwanted emails or junk emails.Spam emails are become a big problem on Internet and it may causes problem in computer security.So they are very risky for networks and computers.As the use increased of emails there need to secure computers as well as networks from spam emails.So we implement this model by using Naïve Bayes classification Algorithm for classify spam and ham emails.In which we filter emails into ham and spam emails and find its performance by calculating its accuracy.
LEVERAGING INSTRUCTIONAL TECHNOLOGY FOR TRADITIONAL AND NONTRADITIONAL STUDENTS: QUEST FOR QUALITY EDUCATION

There has been a steady growth in the provision of technology tools and related infrastructure in schools in recent times.This growth has been necessitated by the increasing acceptance that technology helps enhance both teaching and learning to improve the performances of students who are taught with this technology.To be able to bring advanced technologies to teaching and learning, most educational institutions, especially in Africa have failed to tackle one problem that is perhaps the most important.The issue is "what is the impact that technology is having on the learning styles and capabilities of the students exposed to it?"This study investigated if there were any differences in the way traditional (conventional) and non-traditional (nonconventional) students perceive the impact of the use of instructional technology on their understanding and retention of content material taught using technology.A non-experimental descriptive design was adopted where a stratified random sampling technique was used to select two colleges of education and three senior high schools for the study.A sample size of 146 students was drawn using a simple random sampling technique for which subjects responded to a carefully designed semi-structured instrument.It was found out that there was no statistically significant difference between traditional and non-traditional students in making better grades.However, there was a significant difference between traditional and non-traditional student populations in terms of remembering information, clarity of content and testable material signaling a difference in the way traditional and non-traditional students perceive the use of instructional technology on their understanding and retention of information.
Efforts to Increase Students' Learning Achievement On Fraction Materials in Class V Semester 1 Through The Application Of The Make a Match Learning Model In Sd Negeri Dawuhan 03 Academic Year 2019/2020

The research objective to be achieved is to improve student learning achievement in fractional material in class V SD Negeri Dawuhan 03, Sirampog District, Brebes Regency for the 2019/2020 academic year through the Make a match learning model. This form of research uses Classroom Action Research. The research subjects used were the fifth grade students of Dawuhan 03 State Elementary School, Sirampog District, Brebes Regency for the 2019/2020 academic year as many as 37 students. The results of the study can be seen that the percentage of student learning completeness in cycle 1 of 37 students there are 26 (81.08%) students who complete and the rest 11 (29.72%) students have not obtained completeness, with an average value of 79 ,02. In cycle 2 of 37 students there were 35 (94.59%) students who completed and the remaining 2 (5.40%) students had not obtained completeness with an average value of 90.32. Based on the available information, it can be concluded that the use of the make a match learning model can improve student learning achievement on fraction material in class V SD Negeri Dawuhan 03.
Phonological and Morphological Influences on Vowel Hiatus Resolution in Rutooro

When the morphology of a language creates instances of successive vowels, these cases of vowel hiatus are often resolved or repaired. This paper presents a wide variety of instances where vowel hiatus is created within verbs in Rutooro, a Ugandan Bantu language. It is shown that five different strategies are employed to resolve vowel hiatus: deletion, gliding, diphthongisation, epenthesis, and lexical allomorphy. While some of these processes are largely phonological, there are a number of morphological factors which also play a role in determining which of the various strategies are employed. All of these are explored and discussed.
Emotion Recognition in Speech Using with SVM, DSVM and Auto-Encoder

Abstract: Emotions recognition from the speech is one of the foremost vital subdomains within the sphere of signal process. during this work, our system may be a two-stage approach, particularly feature extraction, and classification engine. Firstly, 2 sets of options square measure investigated that are: thirty-nine Mel-frequency Cepstral coefficients (MFCC) and sixty-five MFCC options extracted supported the work of [20]. Secondly, we've got a bent to use the Support Vector Machine (SVM) because the most classifier engine since it is the foremost common technique within the sector of speech recognition. Besides that, we've a tendency to research the importance of the recent advances in machine learning along with the deep kerne learning, further because the numerous types of auto-encoders (the basic auto-encoder and also the stacked autoencoder). an oversized set of experiments unit conducted on the SAVEE audio information. The experimental results show that the DSVM technique outperforms the standard SVM with a classification rate of sixty-nine. 84% and 68.25% victimization thirty-nine MFCC, severally. To boot, the auto encoder technique outperforms the standard SVM, yielding a classification rate of 73.01%. Keywords: Emotion recognition, MFCC, SVM, Deep Support Vector Machine, Basic auto-encoder, Stacked Auto encode
A Study on the Implementation of U-G-S Collaborative Training Mode for Outstanding Teachers in Local Colleges and Universities

To train Excellent teachers, local universities should abandon the "university-led" training model, actively connect local governments and primary and secondary schools, and build a "three-in-one" collaborative training model for local universities (U), local governments (G), and primary and secondary schools (S). The U-G-S co-cultivation mode operates mainly with the following countermeasures: Local universities and local education administrative departments sign a strategic framework cooperation agreement, and carry out all-round cooperation around the cultivation of excellent teacher in the teacher profession; Local universities and local education administrative departments cooperate to build a basic education research institution, and promote the deep integration of theory and practice around the subject research; Local universities and primary and secondary schools cooperate to build Industry-University- Research collaborative platform and construct a whole-course practical teaching system, which include teaching observation, teacher's moral experience, teaching and research practice, case teaching, subject discussion, and inquiry reflection to improve the quality of training talents in normal education; Local universities cooperate and primary and secondary schools cooperate to build a famous teacher studio, fully using the role of famous teachers in the cultivation of Excellent teacher.
Sistem Pendukung Keputusan Diagnosa Penyakit Tanaman Cabai Merah Menggunakan Metode TOPSIS Berbasis Web di Desa Kerik Magetan Jawa Timur

Kerik Village, Takeran District, Magetan Regency, part of the community, work as red chilli farmers. Farmers experience some difficulties in red chilli cultivation because farmers still have little experience in red chilli cultivation. The farmers cannot know the types of diseases and pests and the symptoms that hit chilli plants that can reduce the productivity of chilli plants and can even cause crop failure. In addition, farmers also do not have experience handling it when they encounter problems that hit chilli plants that are being cultivated. To assist farmers in overcoming these problems, a web-based decision support system was built using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The decision support system was created and designed using the Waterfall method and tested using the Blackbox Testing system testing method. With this decision support system, it is hoped that it will help farmers in Kerik Village diagnose diseases of the red chilli plants they cultivate. The test results from the Decision Support System for Diagnosing Red Chili Plant Diseases Using the Web-Based TOPSIS Method got the results as expected with the Blackbox Testing test, which brought the results of the percentage of system success of 100%.
E-Book Development at Kebonsari III Elementary School Tuban City

Information and Communication Technology (ICT) in education is one of the main supporters of educational services through the development of e-books. The purpose of this activity is to increase teacher competence in utilizing ICT to prepare the 21st century education system in facing the industrial revolution 4.0. This activity uses the community development method through training, mentoring and development in the preparation of e-book learning media. Instrument achievement of implementation indicators using pretest and posttest questionnaires for knowledge and skills of e-book development for teachers at Analysis of the results of achievement using descriptive analysis of the average value and percentage. The average pretest results of participants' abilities in developing e-books are still less visible from the results of less than 11%, very less by 77%, enough by 6%, good 4% and very good by 2% . The average posttest results of participants' ability in developing e-books increased, namely very less and less by 0%, enough by 26%, good by 60% and very good by 14%. The community development method is able to increase the knowledge and skills of teachers in developing e-book learning media
MYSTICAL STORIES OF SEARCH GROUP AS AN ELEMENT OF MYTHOLOGICAL PERCEPTION

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Research on the Innovation of College English Reading Education based on the Analysis of Language and Cultural Differences

With the development of global economy, communication based on linguistic and cultural differences has become a part of people's daily life. instruction English reading based on linguistic and cultural differences is an important way to cultivate high-level and international English professionals. In the process of implementing English reading instruction based on linguistic and cultural differences, we should eliminate the prejudices in terms of traditional thinking and cultural views, continuously improve teachers' instruction ability, and reasonably select instruction materials. Moreover, we should design instruction tasks according to students' receptive abilities, and promote high-quality development of reading instruction based on linguistic and cultural differences through exploratory, open and discursive instruction practices.
THE ACHIEVEMENT OF GENRE PARAGRAPH WRITING ABILITY OF HIGH SCHOOL STUDENTS ASSESSED THROUGH INTENSIVE AND RESPONSIVE WRITING ASSESSMENT

Writing is one of language skills that is the most difficult skill to be mastered. This skill should be taken into account in teaching learning process. The English teachers at high schools in Badung, Gianyar and Denpasar gave writing test to their students by using a test that provided some topics which made the students difficult to imagine, develop their ideas and sometimes the test was not appropriate for their students’ writing level. The present research was intended to figure out the achievement and the quality of the genre paragraph which was assessed by administering intensive and responsive writing assessment. The present research used an ex-post facto research design. The samples of the present study were taken from 16 schools in the aforementioned three regencies. The obtained data were then analyzed by means of norm-reference measure of five standard values. The result showed that 71% of the samples were successful; meanwhile, 29% of the samples were unsuccessful in writing genre paragraph which was assessed by administering intensive and responsive writing assessment. In addition, the quality of their genre paragraphs was mainly good, but the needed extra effort on narrative.
The Effect of Academic Motivation and Information Literature Self-Efficiency on Student Academic Achievement

The purpose of this study was to determine whether there is an influence of academic motivation and information literacy self-efficacy on student academic achievement at the University of Kuningan. The population in this study were all students of the Elementary School Teacher Education (PGSD) study program at the University of Kuningan. While the sample in this study were students who were active in the 2019/2020 academic year, namely 2017, 2018, and 2019 classes as many as 183 people. The sampling technique in this study was done by selecting a simple random (Simple Random Sampling). This research uses the path analysis method. Data collection techniques in this study used a questionnaire or questionnaire. The linearity test results show that all path coefficient values between research variables are more than ttable with a coefficient = 0.05 so that H0 is rejected and H1 is accepted. The conclusions in this study are, 1) student academic motivation has a direct effect on student academic achievement by 0.82; 2) information literacy self-efficacy has a direct effect on student academic achievement by 0.18, and 3) academic motivation has a direct effect on student information literacy self-efficacy by 0.98.
AN ENHANCED WIRELESS NETWORK FOR LOW INCOME USERS

Information and communication technology present huge potentials for socio-economic development in under-served communities. Wireless network offers great opportunity for the provision of affordableInternet services and bridge the digital gap among low income earners.In this study, a wireless network that is scalable and easily manageable was designed and implemented to cover five rural communities.We have been monitoring and maintaining the network for more than three years.Over time signal attenuation has been experienced as a result of environmental changes such as trees creating obstacles.A mesh network at the access layer was deployed to enhance throughput and signal propagation.Data was collected and analyzed to assess network and end users performance.The results shows that the transmit/receive (Tx/Rx) rate of 300Mbps/300Mbps was observed and a throughput loss of 0.5Mbps on the network.The point-to-multipoint access layer design increased the throughput, enhance signal coverage and quality of service.
Social Group Behavior Analysis Model Integrating Multitask Learning and Convolutional Neural Network

Social group behavior analysis has always been the key research direction of sociologists and psychologists. With the rapid development of the Internet of Things and the proposal of deep learning theory, convolutional neural networks are also used in social group research. In the process of social development, group incidents continue to increase, and there are more and more studies on social group behavior analysis. Although the research content and research methods are also richer, the research that combines the Internet of Things, convolutional neural network, and group behavior is more. This article will specifically propose a social group behavior analysis model that combines multitask learning and convolutional neural networks. This paper deeply learns the research of convolutional neural network and group behavior-related theories, makes full use of the advantages of convolutional neural network algorithm and multitask learning mode, and builds a social group behavior analysis model based on multitask learning and convolutional neural network. The experimental results on different data sets are analyzed. The results show that the accuracy rate of the experimental algorithm of convolutional neural network is as high as 95.10%, and it is better than other algorithms in time complexity, which is very suitable for social group behavior analysis.
A MACHINE LEARNING BASED APPROACH FOR IMPROVED FAKE NEWS DETECTION

The News is significant piece of our life. In everyday life current news are useful to improve information what occur all throughout the planet. So the vast majority of people groups lean toward watching news a large portion of the people groups for the most part favor perusing paper promptly toward the beginning of the day appreciating with cup of tea. On the off chance that news is phony that will delude people groups now and then phony word used to get out bits of gossip about things or it will influence some political pioneer positions on account of phony news. So it's vital to track down the phony news. This exploration proposed an advanced framework to distinguish counterfeit news, yet now daily's information on web or online media is expanding immensely and it is so rushed to recognize news is phony or not by looking all information and it is tedious so we use characterization strategies to order colossal information. This paper proposed fake news detection system based on the classification approach such as Naïve bayes (NB), Support vector machine (SVM), K Nearest Neighbor (KNN) and Decision Tree (TD)
AUDIT TEKNOLOGI INFORMASI DENGAN COBIT PADA SISTEM INFORMASI UNIVERSITAS METHODIST INDONESIA

Improving services in all fields in higher education is the main choice because it is closely related to stakeholder satisfaction, especially in the academic field. Information technology used in managing activities will determine the desired process and output. So it is necessary to evaluate and audit information technology to determine the achievement of performance or productivity. Universitas Methodist Indonesia has implemented Information Technology in managing academic activities ranging from new student registration to student graduation, lecturer and staff activities, research activities, and community service. COBIT is one of the tools used in auditing information systems and information technology. The audit is carried out on human resources related to system and technology management involving the Head of the Data Processing Center, Head of Administration and Information Services, Head of System Development Affairs, and Implementing Staff. To obtain data by making a questionnaire given to the audited party. From the test results on the effectiveness of the control, there is already a running control, namely PO8.1. Quality Management System, PO8.4. Customer Focus, PO8.5 Continuous Improvement, and PO8.6 Quality Measurement, Monitoring and Review, DS5.9. Malicious Software Prevention, Detection, and Correction need to be improved and continuously. Then the level of performance of the Detailed Control Objective (DCO) in the third party service management process still tends to be lacking and still needs to be improved, with the average performance value in the third party service management process being 1.5.
Semi-Supervised Image-to-Video Adaptation for Video Action Recognition

Given a sequence of images i.e. video, the task given a sequence of images i.e. video, the task of action recognition is to identify the most same action among the action sequences learned by the system. Such human action recognition is based on evidence gathered from videos. It has a lot of applications including surveillance, video indexing, biometrics, telehealth, and human-computer interaction. Vision-based human activity recognition is plagued by numerous challenges thanks to reading changes, occlusion, variation in execution rate, camera motion, and background clutter. In this survey, we provide an overview and report of the existing methods based on their ability to handle these challenges as well as how these methods can be generalized and their ability to detect abnormal actions. Such systematic classification can facilitate researchers to spot the acceptable ways on the market to deal with every one of the challenges visaged and their limitations. In addition to this, we also identify the public datasets and the challenges posed by them. From this survey, we have a tendency to draw conclusions relating to however well a challenge has been resolved, and that we determine potential analysis areas that need more work.
Preparing personnel for a successful perception and assembly of the course of mathematics at the technical university

Scientific and technological progress, digitalization of the economy, as well as all other spheres of human life, require qualified personnel. Technology, however, simplifies everyday life and gives students plenty of opportunities to enroll in college and not study at all. This study's main purpose is to investigate this paradox, instill in student's love, positive motivation to study mathematics, and encourage them to complete their learning tasks. The research method is a survey of first-year students of the fields of study "Oil and Gas Business" and "Technosphere Safety" of Tyumen Industrial University to identify the motivation for their study of the university mathematics program. It was found that at the moment, it is easier for students to find a calculating job than to do it themselves, that the perception of mathematics as a subject in the first year affects not only further academic performance in the university but also the entire professional life of a person. To solve the problem of motivating first-year students to study mathematics, as we have found out, it is possible if: use the "first type" of motivation, which consists in the fact that is influencing the student, cause certain internal motives prompting to study mathematics; take into account the age and individual characteristics of students and each new stream in general.&#x0D;