Reviewerly/exHarmony huggingface dataset:
WHATSAPP AS LEARNING MEDIA DURING COVID-19 PANDEMIC IN LEARNING PROCESS OF ENGLISH SUBJECT AT SMAN 5 BAUBAU

During the pandemic Covid-19, among the many long-distance communication applications, the teachers at SMAN 5 Baubau choose Whatsapp Group as learning media which could be used on weak networks and also does not consume internet quota like the others. The objectives of this study was to find the using of this application as a learning media at SMAN 5 Baubau and the impact of this application on the distance learning process during the covid-19 pandemic.&#x0D; The present study used qualitative method. This research carried out in June - December 2020 at SMA Negeri 5 Baubau. The subjects in this study were 18 students at SMA Negeri 5 Baubau with details of Class X (6 people), Class XI (6 people) and Class XII (6 people). The instruments used in this research was interview. The findings showed that the majority of students did not have problems or obstacles in using this application. However, some students found it difficult in the learning process that depends on the chat in the group. Although students did not have obstacles in operating the application, but as a medium of learning students had many obstacles and WhatsApp as a learning medium would be more complicated if it is not supported by the creativity of the teacher.
A STUDY OF STUDENTS’ RELUCTANCE TO SPEAK AT ENGLISH DEPARTMENT OF UNIDAYAN

The problem of the research was “what factors did affect students’ reluctance to speak in Speaking class?” the objective of this research was to know what factors did affect students reluctant to speak in Speaking class. The research was a descriptive qualitative research. The subject of the research were students and a lecturer of Speaking subject in English Department of Unidayan. The data of research were collected through observatin, interview and documentation. The data were analyzed through three steps adopted from Miles and Huberman; data reduction, data display and conclusion drawing. The result of this research showed that students’ reluctance to speak in speaking class caused by two factors namely linguistic problems which were lack of vocabulary, grammar and pronounciation. And non linguistic problem which were lack of self confidence, shyness, nervous, shaking, and worried in making mistake. In addition, students also did not gain any additional English courses outside their class.
STUDENTS’ READING ANXIETY AND STUDENTS’ READING COMPREHENSION

The objective of the research was to find out the level of students reading anxiety and students reading comprehension. Data collection in this research was carried out using a research instrument in the form of a questionnaire EFL Reading Anxiety Inventory (EFLRAI) consisting 23 items and test to determine the level of students reading anxiety and 30 items of reading comprehension test. The data obtained were analyzed by descriptive statistical analysis. Based on the result of the research, it was conclude that students’ reading anxiety was in the high category with the mean score 2.72 means in the high anxiety. Sequentially top-down reading anxiety with the mean score 2.77, bottom-up reading anxiety with the mean score 2.74 and classroom reading anxiety with the mean score 2.29. While reading comprehension the mean score 2.72 implies that the students’ reading comprehension is in the poor category.
Are generative approaches to ZSAR a look in the right direction?

Approaches to zero-shot learning have typically involved finding embeddings in a latent space between visual and textual features and using these embeddings with nearest neighbor searches to perform classification. An alternative approach is to convert this problem to a fully supervised problem by introducing generated features using generative models. This can be done using any form of a generative approach. We have seen models like simple GANs to cycle GANs and also approaches like out-of-distribution detection models. However, generative approaches are typically unstable in training and recent research in vision and language training has seen significant progress in zero-shot learning making the use of generative approaches rather obsolete. Based on our studies we see a few primary concerns for the drop in the use of generative approaches. As mentioned before, the use of generative models typically leads to unstable training. Further, the training process is expensive and takes a lot of time. A possible direction we are considering is to change the use of the typically used I3D backbone and use transformer based backbones as we believe this will lead to better features in training for the seen classes and this will significantly boost the training process of generative models.
Academic writing and AI: Day-6 experiment with eco-surplus culture

To check the ability of AI to identify precise and detailed scientific information, I experiment with how accurate AI recognizes scientific terms, their origins, meanings, and usages, and whether the accuracy increases over time
Applying Knowledge Management Processes to ‎Improve Institutional Performance ‎

This study aimed to identify the role of knowledge management ‎processes in improving ‎the level of institutional performance in Cihan ‎University- Erbil, Iraq. For the purpose of ‎achieving the study objectives, a hypothesis has been formulated with two sub-‎hypotheses. The study relied on a descriptive analytical approach. The data were collected ‎by a questionnaire distributed randomly to 90 academic staff at Cihan University-Erbil ‎Campus, 74 valid responses were received. The results showed that knowledge ‎management ‎processes play an important role in improving the institutional performance ‎‎level of the institution studied. Also, the processes of ‎generating and storing knowledge ‎show have stronger correlation than the ‎processes of distributing and applying knowledge ‎in improving the institutional ‎performance level in the University. ‎The novelty of this ‏article comes from ‏its results and the set of ‎recommendations that will contribute to ‎raising the level of ‎institutional performance. ‎
Feasibility Analysis of 2013 Curriculum Teaching Books in Class VII Junior High School Social Studies Subjects

This study aims to find out how the feasibility of the 2013 curriculum textbooks on social studies class VII SMP. This research uses descriptive research. The research aims to systematically describe or explain the facts from the 2013 curriculum book by using interviews with experts, namely language experts and graphic experts to assess the feasibility of textbooks. Based on the research that has been done it is known that (1). Language or grammar and sentences in the student book are partly in accordance with linguistic rules. However, there are still many who are not in accordance with the appropriate language rules for class VII junior high school students. (2). Graphical aspects presented in textbooks for class VII students in social studies lessons are not in accordance with the education unit level. Books can be classified into three sections, namely elementary level users for students aged 6-10 years, intermediate students aged 10-14 years, and Advanced for students aged 14 years and over. As for Class VII students in the Intermediate category aged 10-14 years. Graphic aspects must be made interesting with illustrations that are also interesting but simple.
CHALLENGES AND STRATEGIES FOR COPYRIGHT PROTECTION IN THE DIGITAL ERA

In the digital era, for many industries, especially creative ones, the copyright protection became one of the core issues to achieve and maintain a competitive advantage. Taking this into consideration, for modern industries intellectual property is a key value generator and a success factor in competitive markets. Thus, nowadays, we assist to a continuous intensification of attention paid by both business leaders and public authorities to the field of intellectual property. Although the major features of the digital era impact every domain of intellectual property, the most affected fields are copyrights and related rights. The challenges of the intellectual property system in general and particularly of the copyright to respond to economic realities, but also the appropriate strategies for their further development in the digital era, is the object of study of this paper. The aim of this paper is to consider the copyrights protection system from the perspective of a plurality of relevant factors that directly or indirectly affect and are affected by intellectual property: law, technology, public policy, economics, and sociology. There is the conviction that only considering all those factors it will become possible to find the correct answer to the question regarding how to better address the issue of copyright protection in the digital era.
Content Based Movie Recommendation System

Abstract: Recommender System is a tool which helps users find the required content and overcome information overload. It predicts interests of users by using Machine Learning algorithms and makes recommendation according to the interest of users. The primary content-based recommender system is the continuation and development of collaborative filtering, which does not need the user’s appraisal for items. Instead, the similarity is calculated based on the data of items that are selected by users, and then make the recommendation appropriately. With the augmentation of machine learning, the current content-based recommender system can build profile for users and products respectively. Building or renewing the profile according to the perusal of items that are bought or seen by users. The system can differentiate the user and the profile of items and then recommend the most resembling products. So, this recommender method that compel user and product directly can’t be brought into collaborative filtering model. The groundwork of content-based algorithm is acquisition and quantitative analysis of the content. The research of acquisition and filtering of text information are fully fledged, many current modified content-based recommender systems make recommendations according to the analysis of text data. This paper introduces content-based recommendation system for the movie websites. There are a lot of factors extracted from the movie, they are diverse and unique, which is also different from other recommender systems. We use these aspects to construct movie model and calculate similarity. We introduce a new outlook for setting weight of features, which improvises the representation of movie recommendations. Finally, we evaluate the approach to illustrate the improvement
DEVELOPMENT OF ALGORITHMS FOR RECOGNIZING THE CYBERFRAUDSTERS' BEHAVIOUR

The rapid growth of cyberfraud over the last decade is associated with various factors, such as mass digitalization of different processes in society, business processes automation for economic entities, creation and implementation of smart cities, computerization of government structures, etc. All this created favourable conditions for the development and use of new available computer technologies used by criminals to steal private information, gain access to other people's accounts, change data, damage computer networks and disable information systems. Although the problem of combating cybercrime is not the main one for the world, its solution is essential for society.
MANIPULATION OF FLOOD CONTROL CHANNEL PROFILE IN THE KEK LIKUPANG, PANTAI PULISAN, INDONESIA

Flood, erosion, and sedimentation have become classic problems in the river. The two main parameters that significantly affect the phenomenon of flood are flow and sediment. Flood and sediment transport cause aggradation and degradation of the river bed, bring the bad influence to the construction in the river and environment. Therefore, it becomes important to conduct the manipulation of flood control channel profile in the selected area of Special Economic Area (KEK) that is Likupang, Pantai Pulisan. This research intends to obtain the design of channel shape and dimension for controlling the disasters that are influenced by the factors of environment, water resources, and climate change. One of the urgent factors in this research is to produce a design/recommendation for minimizing the negative impact that is triggered by floods and sediment transport, so it causes the disaster of geology and ecology. To reach the research aim, we carried out the survey of the existing conditions for determining the suitability of the analysis that will be used. The dimension of rainfall and watershed characteristics becomes the input in the HEC-HMS software for obtaining the design flood. Additionally, there is carried out the measurement/mapping of the river geometry. This is used in the application of HEC-RAS that will simulate the real-time flow condition in the field. Based on the analysis results of the flood control channel profile manipulation, there is obtained the dimension of multi-stage trapezoid channel with an upper width (La) of 10 m, lower width (Lb) of 1 m, and depth (h) of 3 m that can flow the design flood in amount of 36.5 m3/s (Q25). This information is a recommendation/reference in determining the management method of the environment and water resources in the Special Economy Area (EK) in the Likupang tourism-Pantai Pulisan as a super-priority tourism destination in making effort of disaster mitigation that is influenced by the factors of environment, water resources, and climate change.
Digital Competence in Primary Education and the Limits of 1:1 Computing

Almost a decade after the massive incorporation of technology into schools in Galicia, Spain based on 1:1 computing programs, where teachers and students have access to laptop computers, this study explored the effects of technology on the lives of children in situations of socio-cultural and economic exclusion. Three case studies were selected from two research projects. Each case study representing three individuals. These studies were analyzed through an ethnographic approach using in-depth interviews and participant observation. The constant comparative method was used, supported by ATLAS.ti 7 qualitative analysis software. The 1:1 policies excluded the family context and the development of digital competence was heavily dependent on the opportunities provided at school. The results indicated that these policies did not reduce inequality because advanced learning experiences with information and communication technology were not provided at school.
Pengembangan Aplikasi E-learning dengan Metode Rapid Application Development

The development of the E-learning application is part of the solution for convenience in carrying out teaching and learning activities, the process of receiving and sending a digital document in the form of learning videos and ebooks is the most important part so that information can be accessed quickly and easily. Special methods are needed to build e-learning applications more quickly and according to needs. Requirements Planning plays a very important role in the software development process, project management in software development and one of the processes is to estimate that the software produced is according to a predetermined schedule and cost. The Rapid Application Development Method is a life cycle strategy aimed at To provide development that is much faster and get results with better quality, UML (Unified Modeling Language) is a language that has become a decent standard in designing, visualizing and documenting software.
Deteksi Spam Email dengan Metode Naive Bayes dan Particle Swarm Optimization (PSO)

Internet-based technology has become a primary need. Based on the survey results from the Central Statistics Agency in collaboration with APJII, email sending and receiving activities have outperformed social media positions by reaching 95.75%. Very intense use of email can have both positive and negative effects. Because apart from being a communication tool, in reality not everyone uses email well and there are even so many misuses of email that have the potential to harm others. This misused email is commonly known as spam or junkmail (junk email) which contains advertisements, scams and even viruses. In this study, data processing from gmail emails with text mining was carried out and then tested with several data mining classification methods including the Naïve Bayes Algorithm, SVM, Random Forest and combined with Partical Swarm Optimization in predicting spam emails with the aim that the selected algorithm is the most accurate. From the test results by measuring the performance of the four algorithms using Confusion Matrix and ROC, it is known that the Naïve Bayes algorithm with Partical Swarm Optimization (PSO) has the highest accuracy value, namely 81.40% and AUC 0.78
Perancangan UI/UX E-Tracer Study UNIROW dengan Menggunakan Metode Doubel Diamond

Currently, at PGRI Ronggolawe Tuban University, tracer studies are still using google forms which aim to collect alumni data. It is still not effective and has many shortcomings in order to solve the problem, a UI/UX e-tracer study design was made using the double diamond method. The double diamond method is used by researchers to conduct usability evaluation tests on old tracer studies using the System Usability Scale (SUS) and the User Experience Questionnaire (UEQ). The SUS results obtained from Google's old tracer study form are 49 (grade F) while the E-Tracer Study results are 82.6 (grade B) and the results from the UEQ show an attractiveness scale from 0.41 to 2.04, pepisicuity scale 0.21 to 2.28, efficiency scale 0.23 to 2.18, dependability scale 0.51 to 1.80, stimulation scale 0.54 to 2.13, and novelty scale -0.09 to 1.88. This proves that UI/UX design in E-Tracer Study resulted in an increase in usability
Rancang Bangun Media Pembelajaran Teknologi WAN Berbasis Android

The impact of the Covid-19 pandemic in the education sector is getting children used to using smartphones. Smartphones during a pandemic helped teachers deliver learning materials and became one of the learning media during the pandemic. Smartphones help teachers and students in the learning process during a pandemic. Learning media is a tool in the learning process. Learning helps teachers convey information in more interesting way. Current technological developments really help many people at work. In the education sector, technology can help in making learning media more interesting, for example by using the PowerPoint application in learning. This learning is made with an Android-based platform. Android-based learning media is learning media in the form of applications that are installed on smartphones and can be accessed directly by students. This Android-based learning media was developed using a prototyping model approach with the Adobe CS6 application. one of the functions of smartphones for teachers and students is as a learning medium. The benefits of Android-based learning media are that students can access it anywhere and anytime and support self-taught learning.
Deteksi Kecacatan Permukaan Rel Menggunakan Metode Deep Learning Neural Network

Rail is a construction in one unit made of steel, concrete, and other construction materials above or below the ground depending on the direction and area. The condition of the rail surface must not have any defects so that train travel is safe and comfortable. This research method discusses the research design. There are four processes in this research design, namely the data acquisition process, the RGB image color conversion process to HSI, the filtering process using the gabor filter, and the classification process using deep learning neural networks. The purpose of this study is to build a system to visually detect defects in the surface of the railroad tracks, namely image processing techniques. This activity was carried out at the Madiun Indonesian Railways Polytechnic Station Laboratory. Based on the research that has been done, it can be concluded that an image with a size of 32x32 pixels produces the highest accuracy value at epoch 90 using the gabor filter image type. The more epochs used, the better the results will be and the better the model can be made. The accuracy results obtained were 0.8041 or 80.41% for training accuracy and testing accuracy of 0.79 or 79%
Implementasi Algoritma K-Means dalam Analisis Klasterisasi Penyebaran Penyakit Hiv/Aids

The most crucial component of everyone's life is their health, especially for young people, health problems that often arise in the younger generation are promiscuity or free sex. HIV/AIDS cases were reported in the last 30 years, from 1992 to 2022 as many as 2,052 were infected with HIV/AIDS. Dozens of them are students and college students. This study's objective was to cluster the total cases of HIV/AIDS based on sub-districts in Karawang district. Seeing which areas need more attention in dealing with cases of HIV/AIDS transmission and the areas with the highest cases can serve as a manual for choosing the highest areas and these areas can be the main focus. The approach adopted for this study is data mining. To solve the existing problems, the authors use the K-Means algorithm using 4 clusters to find out which sub-district groups have very high, high, medium and low numbers of HIV/AIDS cases by calcualating the centroid/mean of the cluster data. The results of the study contained 4 clusters as follows: cluster 0 with low criteria earned 73%, cluster 1 with very high criteria earned 3%, cluster 2 with medium criteria earned 7%, and cluster 3 with high criteria earned 17%
PENGUASAAN KOSAKATA BAHASA INGGRIS MENGGUNAKAN PERMAINAN PICTIONARY

This research aimed to develop students English vocabulary through the Pictionary game. This study was classroom action research in grade VII H 2nd group, SMPN 1 Tanjung Selor, consisting of 12 students. This study applied descriptive quantitative design and the data was collected using a written test. The collected data showed the students obtained the score minimum criteria of vocabulary development in the 1st circle and there was an improvement in the 2nd circle from the point 66.67 percent and 50 percent to 83.33 percent. The data analysis showed the implementation of Pictionary in English vocabulary learning could enhance students’ vocabulary and their learning outcome in grade VII H 2nd group, SMPN 1 Tanjung Selor.
QUANTUM LEARNING DALAM MENINGKATKAN KETERAMPILAN MENULIS TEKS EKSPOSISI

This is a classroom action research that aims to describe the skills of writing expository texts for class VIII1 students at SMP Negeri 6 Bulukumba through Quantum Learning. The subjects in this study were students of class VIII1, totaling 23 people. The research method used is descriptive. data research techniques through tests and observations. The data obtained were analyzed qualitatively and quantitatively. Based on data analysis, the results obtained are pada siklus I ketuntasan belajar sebesar 43,5 percent sedangkan pada siklus dua sebesar 87 percent. Based on these results, it was identified that learning to write exposition texts for class VIII1 students of SMP Negeri 6 Bulukumba by using the Quantum learning method experienced a significant increase. Thus, it can be concluded that Quantum learning is effective as one of the methods in learning to write exposition texts in class VIII1 of SMP Negeri 6 Bulukumba.
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review

&lt;p&gt;This work summarizes the state-of-the-art data-driven methods for prediction of the Remaining Useful Life (RUL). It discusses challenges and open problems faced in PdM. This study presents a discussion on the new problems that need to be considered towards the Industry 4.0 goals. We propose the future direction for each challenge discussed in this article.&lt;/p&gt;