Reviewerly/exHarmony huggingface dataset:
Meme Sejarah Sebagai Media Pembelajaran Sejarah Di SMAN 13 Padang

This research by the lack of use in the history learning process so that learning becomes monotonous. Therefore, it is necessary to develop historical meme learning media that can increase student understanding of historical material. The aimn of this study are (1) to develop historical meme media as a medium for learning history at SMAN 13 Padang. (2) To develop the use of historical memes in history learning for student pf SMAN 13 Padang. The method in this research is to use research and develoment (R &amp; D) methods. The model used is the ADDIE, Analysis, Design, Development, Implementation, Evaluation model, but this research only reached the implementation stage. The subjects of the limited trial were students of class XI IPS 1 of SMAN 13 Padang. Whit the object of the limited trial being historical meme media using cognitive learning theory. The result of the development research is the historical meme media. Based on the results of the validation test of material experts and media expert using a Likert scale with an average valua of 3,5 material validation test and 3,33 media, it can be concluded that the media is very feasible. The results of the praticality test of the teacher show the result whit and average value of 3,33 and the results of the practicality of students whit and average value of 3,18. The conclusion from these result shows that historical meme media is appropriate to be used learning medium.
Perubahan Prosesi Penobatan Depati Di Desa Koto Tengah Kec. Tanah Kampung Dalam Upacara Budaya Kenduri Sko (1990-2020)

The skills to think historical research capabilities (skills to build historical significance) are the first skills that must be possessed by students, thinking historical research capabilities (skills to build historical significance) are generally a number of steps or scientific processes in history. one way to improve students' skills in building historical significance is by using interactive media packaged in a mnemonic dictionary, therefore this study aims to, 1. to find out whether the use of an e-mnemonic dictionary can improve students' historical significance skills. 2. The practicality of the e-mnemonic dictionary learning resources as a whole is in the practical category. 3. Knowing the effectiveness of e-mnemonic dictionary learning resources in improving skills in building historical significance. The research method is Research and Development (R&amp;D), using the Thiagarajan 4D development model which consists of 3 stages of development namely definition, planning (design), and development ( develop). The results of the study show that, in general, the feasibility of e-mnemonic learning resources is feasible and able to help improve skills in building historical significance.&#x0D; keywords: interactive learning resources, e-mnemonic dictionaries, historical significance building skills, historical research capabilities.
Politeness in the EFL Classroom Interaction: Strategies in Avoiding Face Threatening Act (FTA)

The purpose of this study is to look into how lecturers from Methodist University's Letters Faculty express politeness in their words and actions during the learning process in classroom interaction. Observing lecturers and students of various ethnicities, religions, and cultures, one must be understanding and well-managed in order to avoid the face threatening act and retain the diversity among them. The study was conducted at the Letters Faculty's classes at The Methodist University of Indonesia. The researchers took a qualitative approach to the study, monitoring lecturers’ activities with students in classroom interaction and recording their communication during the process of learning. The lecturers used the three types of politeness strategies to respond to the context of avoiding conflict and maintaining harmony, as evidenced by the results. Bald On-record politeness strategy, positive politeness strategy, and negative politeness strategy are the three types of the strategies. The bald on record strategy is the most commonly employed of the three types of politeness strategies used by the lecturers. It's because the lecturers are having more power in the class. Lecturers have right to ask students without asking the students first. Surprisingly, lecturers are not shy to say sorry and thank you even they have more power in the class. In short, lecturers try to avoid the face threatening acts by this way of communication. Unluckly, the result of the study also presents the act of some lecturers who were sitting in student’s table during the learning process. Thus, it creates discomfort for students.
The Application Of Word Webbing Technique In Improving Students’ Achievement In Vocabulary At Mts Muhammadiyah 15 Medan

To master vocabulary is influenced by many factors, many techniques and strategies such as playing scrabble, memorize new vocabulary by English song and word webbing technique also can be a way to master and memorize vocabulary. In this research, the researcher limits the study on the technique. Word webbing technique is a way to help the students to think more creative to associate idea or words more easily. Word webbing approach is a way to assist the students of university to think greater innovative to companion thought or phrases more easily. Word webbing is a notion mapping of words, which is, normal through ability of webs and links. Word webbing is a approach that can be used to expand thinking or words. This method is beneficial for the students of university who favor or like to make higher their ideas or words, specially in getting to understand vocabulary. The goals of this research are to understand if the students’ success in vocabulary can be accelerated through the application of phrase webbing approach or not. The research was once carried out only in one class with two cycles. The archives have been taken from the first 12 months MTs Muhammadiyah 15 Medan. The real variety of the students in the category used to be 27 students. The finding of the research is that Word Webbing Technique can help the students improve their vocabulary achievement. By making use of this Word Webbing Technique, the ranking of the students in vocabulary saved increasing from the pre- test until the post- test seem to be at in each cycle. It was once proved through the use of the data which validated that the mean of the students in the post- test II (77.0) was higher than the post I (70.4) and additionally higher than pre- test (51.5). Keywords : word webbing technique, vocabulary
AN ANALYSIS OF STUDENTS' ERRORS IN USING PERSONAL PRONOUNS IN WRITING DESCRIPTIVE TEXT IN THE TENTH GRADE OF SMA NEGERI 1 TANJUNG PURA

The purpose of this study were to identify the types of errors made by tenth-grade students of SMA Negeri 1 Tanjung Pura in the use of personal pronouns in writing descriptive text, as well as the reasons for these errors. A purposive sampling technique was used to select the respondents. There were 36 students of grade X of MIA 1 were taken as samples. This study employed a descriptive methodology. The researcher administered a written test requiring students to compose descriptive texts about a person to collect the data. As research participants were students in the tenth grade will be administered the examination. The purpose is to identify errors made by students. It is also necessary to know what types of errors students make. The data analysis revealed that the tenth-grade students of SMA Negeri 1 Tanjung Pura made the following quantifier errors when writing descriptive texts: omission, additional, misformation, and misordering. The majority of errors were omission errors with a value of 36.84%, followed by addition errors with a value of 84 or 20.74%, misformation errors with a percentage of 32.10%, and misordering errors with a value of 43 or 10.62%. Based on the results of the questionnaire, it was determined that the student's lack of motivation to learn was largely attributable to their difficulties with reading, writing, and comprehension, especially in terms of applying what they learn to real-world situations.&#x0D; Keywords: Error analysis, Personal pronouns, Descriptive Text.&#x0D;
Bayesian estimation of the Kullback-Leibler divergence for categorical sytems using mixtures of Dirichlet priors

In many applications in biology, engineering and economics, identifying similarities and differences between distributions of data from complex processes requires comparing finite categorical samples of discrete counts. Statistical divergences quantify the difference between two distributions. However, their estimation is very difficult and empirical methods often fail, especially when the samples are small. We develop a Bayesian estimator of the Kullback-Leibler divergence between two probability distributions that makes use of a mixture of Dirichlet priors on the distributions being compared. We study the properties of the estimator on two examples: probabilities drawn from Dirichlet distributions, and random strings of letters drawn from Markov chains. We extend the approach to the squared Hellinger divergence. Both estimators outperform other estimation techniques, with better results for data with a large number of categories and for higher values of divergences.
Metaphors in Italian and Croatian compounds

In this paper, the metaphorical NN and NA/AN compounds in the Italian and Croatian language are described using the contrastive method. A narrow semantic corpus analysis is performed using the generative lexical models, and the metaphorical meanings are shown in the framework of cognitive linguistics.
Generative Adversarial Network-based Visual Similarity Recommendation

The purpose of a content-based recommendation system is to rank a set of results by how closely they match the user’s query. These days, virtually every online marketplace has some kind of recommendation system in place to steer customers to more goods and services they might enjoy. In this piece, we’ll go through how we used Generative Adversarial Networks to build an image retrieval system for e-commerce sites, with a focus on locating the best possible shoe photos to go along with a given product image. The writers of this paper conducted the study presented here. We demonstrate the outcomes of our study of the proposed deep learning network’s performance on a benchmark dataset, and we compare the network’s results to those of state-of-the-art systems.
Multi-Class Support Vector Machines with Incremental Learning for Text Classification

Class-incremental learning (CIL) is a revolutionary framework we develop in this study to address multi-class problems with support vector machines (SVM). Text classifiers built with support for support vector machines (SVMs) can be kept up-to-date with the help of CIL’s two incremental processes. Reusing previously learned classifier models, the CIL only needs to train a single binary sub-classifier and an extra step for feature assortmentonce a new class is introduced. The projections of the vectors onto the relevant subspaces are analyzed using the present classifier. Any text classification method based on binary classification can use CIL as a universal framework for implementation. We found that the CIL-based SVM not only outperformed well-known batch SVM learning strategies like 1-against-rest, 1-against-1, and divide-by-2, but also required much less time to train.
Grey Literature Review of the Undergraduate Theses of the Bicol University Computer Science Program

Purpose -The purpose of this research is to examine the undergraduate thesis methodology, programming languages, and databases utilized to create thesis projects.The study's findings will open a wide range of researchable topics and will usher in new trends in computer science.There will be new insights in developing and proposing thesis proposals which will introduce various applications of a prospective research study. 2096Method -The manuscript from 2005 to 2019 served as initial information with the name of students, advisers, and panel members.The titles are converted into lowercase characters for easy categorization utilizing the features MS Excel transposition method and PivotTable.Special symbols like dash, colon, parentheses, slash, and apostrophe are removed to provide a list of common words.Standard frequency count and categorization of special project titles were used to count per year, filter, and categorize the titles according to keywords.Results -The study showed that students are familiar with different methodologies, programming languages, databases, types of development, and application tools in writing special projects.Most projects are inclined toward a desktop application that uses Visual Basic as the programming language.Conclusion -In software development, they used application tools to support the development process of the applications, and they used open-source tools.The type of study or research dictates the right decision in choosing the right methodologies to meet the study's objectives.They used tools to improve their design, convenient interaction with programming languages, and practical wise for faster development.Recommendations -The results will be an opportunity to expose and explore computer science researchable areas, especially theories and concepts of computing.The study results shall serve as Manuscripts that are valuable assets of the institutions and should be preserved.Research Implications -Capstone initiatives significantly contribute to the government, academia, business, cooperatives, religious institutions, and private groups.Approximately 60% of capstone projects are directly related to or have resulted in information systems for the organization.This advancement significantly affected the ITE program's directions, and the study established research options, including the capstone project's proposed research fields.Furthermore, supply excellent inputs to academic programs that will open new trends in researchable domains.Once students begin to submit capstone projects, this may have an impact on the research fields of the IT degree program.
GPU Based Genetic Programming for Faster Feature Extraction in Binary Image Classification

Genetic programming (GP) has been applied to various binary image classification tasks and achieved promising results. However, existing approaches are difficult to be applied to large binary classification tasks due to the huge computational cost in fitness evaluations. To address this issue, we introduce a highly efficient method that enables fitness evaluations to be entirely conducted on graphics processing units (GPUs). Specifically, a prefix notation is used as program representation on the GPU device side, and column-major storage is used for the training dataset on the device side to achieve coalesced global memory access on the GPU. The evaluation of multiple GP programs in each generation can be simultaneous, which increases the parallelism of the algorithm. In addition, a parallel reduction is performed to maximize the use of the powerful parallel computing capability of GPU devices. Furthermore, the hoist mutation is also added to the proposed approach to help eliminate stack overflow on the device side. We compare training time and classification accuracy on various datasets with several GP and non-GP approaches. Experimental results indicate that the proposed approach significantly speeds up the existing GP-based binary image classification approaches without degradation in classification accuracy. We also analyze the influence of the batch size on the training time and investigate the classification accuracy in different settings of the max program depth and the number of generations. The code is available at https://github.com/RayZhhh/CupaGP for reference.
A Proposed Authentication Method for Document in Blockchain Based E-Government System

The primary concerns with manual transactions include corruption, lack of transparency, fraud, and mismanagement of distribution operations, all of which are created by traditional centralized applications, necessitating the migration to blockchain technology. In this work, a system is presented to secure and monitor correspondence between several nodes and store it in a decentralized database in order to secure distributed ledger transactions and safeguard against fraud and tampering when transactions are shared by multiple parties. The hashing that blockchain technology delivers in each transaction ensures a high level of security. The hashing associated with each transaction confirms all sending and receiving transactions. When a transaction is sent from one node to another, the other node checks the hash accompanying the transaction to see if it came from a registered node or an external node. Within the blockchain system, the nodes will check transaction correspondences. The system has demonstrated its effectiveness by delivering a more secure messaging system with high credibility and tamper resistance. In addition, the time it takes to authenticate will be in real time. Index Terms— Blockchain, Consensus procedure, Hashing, Blockchain in Governance.
Pengembangan Media Pembelajaran Museum Digital Pada Pembelajaran Sejarah Di SMA Negeri 1 Pariaman

This study discusses the development of digital museum learning media using power points in history learning at SMA N 1 Pariaman. Therefore, this study aims to (1) analyze the process of developing the Digital Museum media in learning Indonesian history. (2) analyze the Feasibility Test Results and Practicality of Digital Museum Media Products in Indonesian History learning. This research method is Research and Development (R&amp;D) using the ADDIE development model according to Branch consisting of 5 stages, namely analysis, design, development, implementation, evaluation. The results of the study show that (1) the stages of developing digital museum media are as follows: (a) the analysis stage, namely analyzing the problems that exist in history learning, at this stage a needs analysis and curriculum analysis are carried out. (b) the design stage, at this stage designing a digital museum, as a historical learning medium, the steps in this stage are making a summary of the material, creating a digital museum concept, making illustrations and pictures. (c) the development stage, at this stage the aim is to produce digital museum media that is suitable for use in history learning, from the assessments carried out by material experts and media experts. The results of the assessment show that digital museums are very suitable to be used in history learning. (d) the implementation stage, at this stage a digital museum trial was conducted as a historical learning media to determine its practicality, an assessment was carried out by students and teachers. The results showed that the digital museum media was practically used as a historical learning media. (e) evaluation stage, at this stage aims to find out the lack of media to be repaired so that it is suitable for use, researchers get advice from media experts to add a back button on the 3rd slide of digital museum media so that they can return to the media start page (2) in terms of The feasibility of Digital Museum media is broadly categorized as very feasible and can help students to better understand and identify the periodization of the development of preliterate society based on the results of their culture. (3) in terms of the practicality of the Digital Museum media as a whole it is categorized as very practical.
Image Protection Using Genetic Algorithm and Cipher Technique

Image Protection is one of the most important issues that have created problems in technology challenges in the past and present years, whether they are stored or when sent to other parties. And how to develop the techniques adopted in encrypting it, devise new methods, or integrate the available technologies to provide high security in encrypting images or any important data and preserving them from loss or hacking. This paper presents a new method to generate a random keychain using genetic algorithm techniques to develop new generations and XOR technology to encrypt digital images. Where the results showed the high efficiency of the encryption method with its ease of use and the preservation of the original image data after decoding with high accuracy and speed in implementing the strategy used. The efficiency of these switches for use has been tested using the National Institute of Standards and Technology (NIST) and the statistical randomness test, and the tests were successfully passed. Index Terms— Security, keys, Genetic Algorithm, XOR.
Cardiovascular Patients Monitoring Using Internet of Things And Decision Tree

The rapid growth of the human population and the spread of many bad habits affect the health of human beings, this leads to many health problems, such as heart disease, blood pressure, and diabetes. Some of these diseases require earlier detection and fast treatment, to avoid major risks, such as permanent damage or even life loss. The fast evolution of communications and nanotechnology nowadays is being facilitated to help with saving lives before great damage happens. This paper suggests a special architecture through which to monitor patients remotely using an Internet of Things (IoT)architecture for the purpose of notifying the paramedics and health care centers to rescue the life of cardiovascular patients. The experiments, after attempts with several types of classification algorithms, showed that The result shows that The decision tree has high accuracy for predicting the new heart attack and saving lives before happening of great damage .the result reached between( 83 to 87) percentage, which is a good percentage to avoid the risk of heart attacks and thus reducing death rates. Index Terms— decision tree, heart disease, health care,Internet of Things (IoT), sensors.
Generating Honeyword Based on A Proposed Bees Algorithm

Honeywords are fake passwords that are typically companions to the real password “sugarword.” The honeyword technique is a password cracking detection technique that works effectively to improve the security of hashed passwords by making password cracking simpler to detect. The password database will contain many honeywords for each user in the system. A silent alarm will trigger, indicating that the password database has been compromised if the hacker signs in using a honeyword. The honeychecker is a separate server in charge of recognizing the real password and raising the silent alarm. Many honeyword creation techniques have been presented previously. They all have limitations in the generating process, supporting characteristics, and strengths of honeyword. The bees algorithm, an optimization metaheuristic swarm intelligence algorithm, is used in this article to suggest a novel approach for generating honeywords. The proposed bee algorithm succeeded in addressing the limitations of the previous methods by enhancing the honeyword generating process, supporting the honeyword characteristics, and addressing the honeyword system problems. The most important characteristics of the honeyword (flatness, DoS resistance, and storage) were supported by the proposed method to present unconditionally flatness, strong DoS resistance, and moderate storage. Index Terms— Bees Algorithm, Honeyword, Password, Swarm Algorithm.