Reviewerly/exHarmony huggingface dataset:
A COMPARATIVE STUDY BETWEEN THE USE OF VSS (VOCABULARY SELF-COLLECTION STRATEGY) AND SVES (STEPHENS VOCABULARY ELABORATION STRATEGY) ON STUDENTS’ VOCABULARY MASTERY AT SMPN I BANTAN IN BENGKALIS REGENCY

The main purpose of this research was to find out the significant difference on students’ vocabulary mastery between using VSS (Vocabulary Self-Collection Strategy) and SVES (Stephens Vocabulary Elaboration Strategy) on students’ vocabulary mastery at SMPN I Bantan in Bengkalis Regency. The design of this research was a comparative study with a comparative quasi-experimental design. This research used multiple choice test and questionnaire. The data were analyzed by using Paired Sample T-test, Independent Sample T-test and Effect Size. The results of this research were; first, the significant effect of using VSS on students’ vocabulary mastery. The researcher found the significant 0.00 &lt; 0.05. Second, the researcher also found the significant effect of using SVES on students’ vocabulary mastery. The researcher found the significant 0.00 &lt; 0.05. Last, the researcher found the significant difference in vocabulary mastery between students taught by using VSS and SVES. The significant value was 0.022 &lt; 0.05. In conclusion, VSS is more effective than SVES to improve students’ vocabulary mastery. The mean gain score of VSS was higher than the mean gain score of SVESS (18.48 &gt; 15.87). Key Word: VSS (Vocabulary Self-Collection Strategy), SVES (Stephens Vocabulary Elaboration Strategy), Vocabulary Mastery.
Activation of Vocabulary of Preschool Children on The Basis of Associative Experimental Method

The article describes how to activate the vocabulary of preschoolers based on the method of associative experience, and also provides some recommendations for increasing the vocabulary of children. Associative experimental methods are presented.
A novel of substitution-box design using PLL algorithms in magic cube

In most modern symmetric ciphers, substitution boxes are non-linear core components that provide robust security and confusion.The construction of active S-boxes has been hot object among safely experts.The goal is at build a cryptographically active S-box, number of researchers have built an S-Box using RNA, DNA, chaotic systems, etc.In this article, we used new approach to generate multiple S-Boxes based on the Permutation of Last Layer algorithms (PLL) to replacement the place (permutation) of the pieces generated from the Magic Cube and instead of using static S-Boxes, we can generate dynamic S-Boxes to use various S-Boxes in every round to add to confusion.When comparing the proposed algorithm with other searches and tests on it.We found it has achieved a high percentage of success comparable to the S-Box from chaotic and etc.The proposed design passes S-Box test criteria effectively, these tests: invertibility, completeness, avalanche, strict avalanche, and balanced are among S-Box test criteria.The results of the analysis show that the novel S-Box overrun each of these statistical tests, has a good avalanche impact, and thus can protect against a wide range of attacks.Because S-Box and its reverse take but smaller milliseconds to construct it ability be applied in a variety of lightweight applications
Classification of Sentiment on Business Data for Decision Making using Supervised Machine Learning Methods

Sentiment analysis is deals with the classification of sentiments expressed in a particular document. The analysis of user generated data by using sentiment analysis is very useful for knowing the opinion of a crowd. This paper is mainly aimed to tackle the problem of polarity categorization of sentiment analysis. A Detailed description of the sentiment analysis process is also given. Product review data set from UCI repository is used for analysis. This paper is giving a comparative analysis of four supervised machine learning algorithms namely Naive Bayes, Support Vector Machine, Decision Tree and Random Forest which are used for product review analysis. The result shows that, Random Forest classification algorithm provides better accuracy than other three algorithms
Opinion-Aware Retrieval Models Based on Sentiment and Intensity of Lexical Features

Sentiment analysis has received much attention in Information Retrieval (IR) and other domains including data mining, machine learning algorithms and NLP. However, when it comes to big data, incorporating sentiment of words into IR models becomes even more important, and as yet no widely accepted standard exists for this task. The contribution of this paper is a framework for quantifying term frequency (TF) variants with sentiments. We propose models derived from the strength of lexical features to improve sentiment-based ranking.
Interpersonal Function on Tour Commentaries: A Modality Study

Functioned as a social medium, tour commentaries are used by tour guides to interact and communicate with tourists, especially in explaining activities, locations, cultures, and knowledge regarding the place they are visiting. These commentaries bring interpersonal function that is realized through the use of modality. This current study, therefore, aims to (1) identify the use of modalities that bear the interpersonal function found in students’ tour commentaries and (2) describe the meaning of the modalities used. This study employed descriptive qualitative and text analysis methods using Halliday’s theory of modality. The data, 57 utterances containing modality, were obtained from tour commentaries of Tour and Travel Business Study Program’s students of Politeknik Negeri Bandung. This study reveals the use of both modalization, to show ’probability’ and ’usuality’, and modulation, to show ’obligation’ and ’inclination’, on students’ tour commentaries. The ’probability’ and ’obligation’ functions are most discovered. The results can be beneficial academically and practically. They can give insight into how tour guides apply modality in their tour commentaries. Keywords: modality, modalization, modulation, tour commentaries
PROFESSIONAL DEVELOPMENT AND TRAINING IN POST-SECONDARY EDUCATION: PARTICIPATION IN A SUBSIDIZED PROGRAM “EXPORT TRADE EXECUTIVE”

The economic conditions nowadays with the increased international competition, open borders, and easier money circulation in the market have created the need for additional production, while unemployment rates have been on the rise making adults required to enrich their knowledge attend training seminars in order to achieve a successful transition from the education stage to the labor market. These new market conditions have led to the promotion of professional development and training of the workforce, which will be achieved through vocational education (Valiente et al., 2020, Saar et al., 2013). At the same time, the need for more opportunities for personal and social development and employment has created lifelong learning in post-secondary education. Subsidized training programs are very often implemented, organized by large organizations, in order to provide additional knowledge to adult workers and the unemployed, regardless of age, level of knowledge, degree, and specialty. This study explores the motivation and the criteria of the participation in one of the Subsidized Unemployed Program with the title “Export Trade Executive”. According to the results of the research, the driving force for the participation of adults in this kind of program is the professional development of the participants, the improvement of their professional skills, the adaptation to the new technological data, but also socialization through the program.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0810/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
ROLES AND RESPONSIBILITIES FOR SCHOOL ROLE PLAYERS IN ADDRESSING CYBER INCIDENTS IN SOUTH AFRICA

Cyber incidents are causing major challenges for school officials who are called upon to respond to these incidents involving learners, globally. Online threats take place off the radar screen of educators and parents, and this makes it difficult to address cyber incidents in schools and more impossible to monitor off school premises. The overwhelming challenges in South African schools are that there are no clear roles and responsibilities for relevant role-players when handling cyber incidents. Therefore, this article is aimed to determine the responsibilities of role players in handling cyber incidents in South African schools. The research used a qualitative approach and purposive sampling to collect data from the learners, to get their experiences and perceptions on reporting cyber incidents. The rationale for selecting learners was based on the view that cyber aggression is a very concerning issue in the school environment. The research went on to document the responsibilities of various role-players, which include the school with its educators, principal and the learners, the Department of Basic Education, the community, and the parents. The article focused on highlighting the roles and responsibilities of role players when handling cyber incidents in South African Schools and the views of learners on adults when handling cyber incidents. The study concludes that if the role players seriously follow their roles and responsibilities, cyber incidents can be reduced in schools. It is also important to note that role players cannot work in isolation; rather, they need a coordinated approach to share the responsibilities, as cyber incidents are not restricted to the classroom or school grounds. This problem requires all role players to work together, in proactive ways to intervene and reduce cyber incidents.
YOUTUBE AS A MEDIA FOR STUDENTS’ COMPREHENSIVE LISTENING ABILITY AT JUNIOR HIGH SCHOOLS IN BEKASI

Learning in the listening aspect is still difficult for middle and upper level students. This is a consequence of weak vocabulary, structure, and speaking skills. Comprehensive listening skills are often complained by some students. It needs improvement and learning innovation in the current century. This study aimed to determine whether there was an increase in learning outcomes after utilizing youtube as a learning media, how big the impact was and how the learning process using you tube media was. This study used an experimental method of pretest and posttest only. Respondents were 35 students of SMP Alikhlas class VI Bekasi. The data were taken from the test before and after being given treatment using YouTube media. The data were processed with SPSS 20 and then tested for normality and homogeneity first, then processed using a paired sample test. The results showed that there was an increase of 12.2941. The use of youtube improved listening skills. Utilizing Youtube included looking for material/information, watching and listening to material, analyzing and distributing material to students and teachers. The recommendation was that teachers could try to provide the widest possible time and space for students to improve their abilities independently, including using YouTube in learning. Consistent evaluation and supervision is the key to the success of learning using youtube media.
The Effectiveness Of Android Based Applications An Adherence Monitoring System For Adolescent Female Consumption Fe Tablets

Introduction: The level of adherence of adolescent female to the consumption of Fe tablets is an indicator of the success of the program of giving Fe tablets. Objective: To analyze the effectiveness of the use of android-based applications as a monitoring system for adherence with adolescent female consuming Fe tablets . Methods: This research approach is quantitative Quasi Experimental using Pre-Post Control Group Design. This study observes or measures the independent variable and the dependent variable at the same time or at one time. The population of this study was the female youth of SMAN 5 Jember grade 3 with a total of 123 respondents. The technique of taking simple random sampling consisted of 2 groups, 39 adolescent female became the experimental group by being given an android application and 39 adolescent female became the control group. The technique of collecting data is in the form of questionnaires and observations to determine the respondent's adherence with consuming Fe tablets . Results: Data analysis used a comparison test between the control and experimental groups with a P value of 0.000 less than 0.05. There is a significant difference between the adherence of adolescent female to take Fe tablets between the experimental group and the control group. Conclusion: It can be concluded that there is an effective use of android-based applications that can increase the adherence of adolescent female in consuming Fe tablets compared to the provision of activities that have been running previously. It is hoped that there will be development on an Android-based application to add blood to be used as a monitoring system.
ASSESSING THE IMPLICATIONS OF APPLYING THE SEVEN BASIC TOOLS OF QUALITY TO THE ENVIRONMENTAL PERFORMANCE THROUGH APPLICATION TO SOME TOURIST VILLAGES IN THE RED SEA GOVERNORATE.

Total quality management is considered one of the modern administrative concepts that institutions have come to emphasize and implement their programs because it helps to provide a suitable environment and allows the employment and exploitation of the capabilities of workers in institutions, and has become the way for organizations to remain and continue to exist in the world based on rapid movement and continuous development, so organizations must adopt administrative concepts Modernization and development of their systems and structures that are no longer suitable to meet the challenges and requirements of knowledge organizations if they want to achieve their goals efficiently and effectively, in terms of senior management's belief in the importance of employee participation in the planning process, encouraging workers to cooperate in solving work problems, awarding rewards according to efficiency, participation, and working on Continuous improvement of working conditions and continuous updating of the technology used with the need to continuously evaluate the level of services to ensure the quality of the services provided, the participation of all employees in training courses to prevent errors and motivate workers, and finally compare their performance with that of competitors. Therefore, the researchers in that study try to find out the effects of using the seven quality control methods on environmental performance. The researcher used the deductive approach with its tools of description, analysis, and appropriate statistical tests to test the validity of the hypotheses and answer the study’s questions. Therefore, the researcher took a simple random sample of tourism workers and tourists in Red Sea Governorate. starting from Zafarana in the north to Marsa Alam in the south, where the number reached (177) workers, and (123) tourists, and the study tools, represented in the survey form, were applied. The results indicated the existence of an impact relationship for the use of quality control methods to improve the environmental performance in the tourist villages and to activate Principles of total quality management in tourist villages, the study concluded with several recommendations, the most important of which is the activation of the use of quality control methods, the principles of total quality management in tourist villages, the activation of legal legislation for environmental protection and the follow-up of technical support for new projects so that they are based on sound quality principles and environmental foundations.
Application of Data Mining in Determining Social Assistance Recipients With C4.5 Algorithm in Maligas Mountain District

The Gunung Maligas District Office is a government agency tasked with running a government program, namely the Social Assistance Receipt program, to run the social assistance program, many residents complain that they do not receive assistance, while some residents who are considered capable actually get assistance, where each aid program is have different criteria in determining the recipient. Due to the large number of existing aid programs with different criteria in determining the acceptance of the aid program, of course, local government staff will have difficulty in conducting the selection process. So we need a system that is able to help local government staff to more easily determine the recipients of the social assistance. Based on the historical data of beneficiaries, recommendations for the classification of beneficiaries can be made that will assist government staff. Classification can be done using the C4.5 algorithm. In this study, it has parameters, namely, occupation, income, housing conditions and number of dependents. By applying the C4.5 data mining algorithm, it is hoped that it will make it easier and faster for government staff to determine the recipients of social assistance at the Gunung Maligas District Office.
MEKARSARI BERTANI APPLICATION BASED ON WEBSITE FOR AGRICULTURAL DATA COLLECTION IN MEKARSARI VILLAGE

Mekarsari Village is one of the villages located in Cimaung District, Bandung Regency. This village already has plantations and quite a lot of agricultural products, especially coffee and secondary crops. The problem is, plantation processing is not easy. Farmers need expensive processing equipment, so intermediaries carry out coffee processing. Farmers only earn 1,000 rupiahs, but in fact, they can earn 10,000 rupiahs per kilogram of green coffee. Therefore, building connections between urban residents who need agricultural raw materials or farmers' plantations directly as investors is necessary. The solution given is a website-based BERTANI application to record agricultural products, farmer data used for farming. The method of making a website with a waterfall is still following the needs. The results from the data site can be used to pursue agricultural products and needs in urban areas to make appropriate and targeted technology applications. The activities carried out are (1) the preparation stage for making tools, (2) the implementation of application socialization, (3) application evaluation. The application results have been proven to positively impact the residents of the Mekarsari village because they can add to the data collection of village harvests. It is hoped that it can become a distributor in the future Mekarsari village and urban investors.
A New Fast Matching Method for Dummy K-anonymous Location Privacy Protection in Location Based Services

This paper proposes a dummy k-anonymous location privacy protection based on a fast-matching method that adopts the space coordinate transformation algorithm. First, the 2-D coordinates are converted to binary Morton code. With the fast matching method, non-adjacent position points distributed in different grids are selected as candidate sets of dummy positions. Then, the semantic similarity of place name information of position points in the candidate sets is calculated using the edit distance, and k-1 position points with the smallest semantic similarity are selected as dummy positions. While satisfying the semantic l-diversity and physical dispersion, this method can improve the generation efficiency of dummy locations and further improve the quality of location service.
Learning in AI Processor

AI processor, which can run artificial intelligence algorithms, is a state-of-the-art accelerator,in essence, to perform special algorithm in various applications. In particular,these are four AI applications: VR/AR smartphone games, high-performance computing, Advanced Driver Assistance Systems and IoT. Deep learning using convolutional neural networks (CNNs) involves embedding intelligence into applications to perform tasks and has achieved unprecedented accuracy [1]. Usually, the powerful multi-core processors and the on-chip tensor processing accelerator unit are prominent hardware features of deep learning AI processor. After data is collected by sensors, tools such as image processing technique, voice recognition and autonomous drone navigation, are adopted to pre-process and analyze data. In recent years, plenty of technologies associating with deep learning Al processor including cognitive spectrum sensing, computer vision and semantic reasoning become a focus in current research.
THE EFFECT OF PARTIAL DICTATION AS INSTRUCTIONAL DEVICE ON STUDENTS' LISTENING COMPREHENSION AT SECOND SEMESTER STUDENTS OF UNIVERSITAS MUHAMMADIYAH KENDARI

This research reports the effect of Partial Dictation as instructional device on students’ listening comprehension at second semester students of Universitas Muhammadiyah Kendari academic year 2019/2020. It was then implemented in Basic - level listening class with 25 participants. Design of the research was quantitative which applied quasy experimental design. The samples were taken through purposive sampling consisted of 50 pArticipants. Two groups participated in this research, i,e one experimental group and control group. A diagnostic test on listening was administered to the both groups. Over 5 meetings, Control Group taught by non partial dictation exercises or conventionally while Experiment Group received Partial Dictation exercises. A post-test was given to the both groups after 5 meetings. In addition to the post-test, Experiment Group worked out with 5-Likert Scale adopted questionnaires to assess their motivation toward Partial Dictation as supporting data. The results of Independent t-test showed the level of significant is .000, p &lt; 0.05. Furthermore, it explained that Ha was accepted, so that it can be concluded that teaching listening comprehension through Partial Dictation as instructional device has significant effect than teaching listening comprehension by non partial dictation. Meanwhile, motivation questionnaires revealed that 62 % of the participants were in moderate category to learn through partial dictation technique in facilitating their listening.Keywords:Listening Comprehension, partial dictation, listening motivation
KLASIFIKASI FAKTOR PENYEBAB RENDAHNYA MINAT MAHASISWA DALAM MENULIS ARTIKEL ILMIAH

Scientific articles are scientific articles in the form of reviews and research to be published in reputable scientific articles. This is one of the main things that becomes a reference for students in higher education during their studies and at the end of their studies. then the problem that must be faced is how to classify the factor of low student interest and being able to increase student interest in writing scientific articles. The factors of low student interest in writing scientific articles are the level of understanding, motivation, difficulty level, time, and infrastructure. The data used comes from questionnaire data from students of the 2016 batch of information systems study program. It has been obtained that the factor classification of the low interest of students in writing scientific articles is the factor that has top priority on the factor of low student interest is the infrastructure. The results showed that the C4.5 Decision Tree Algorithm was accurate for classifying the factors of low student interest in writing scientific articles with an accuracy rate of 100%.