Reviewerly/exHarmony huggingface dataset:
Pendampingan penerapan teknologi sistem monitoring dan penyiraman berbasis IoT pada budidaya tanaman obat keluarga

Assistance in the application of IoT-based monitoring and watering system technology in the cultivation of family medicinal plants (Toga) for the PKK group managing the Tosabu garden, Kramas Sub-district, Tembalang District, Semarang, aims to assist park managers, namely the Kramas Village PKK administrator, in caring for and cultivating various types of medicinal plants in a mini greenhouse with an area of 40 m2. Watering plants is a significant problem during the dry season. In addition, the restrictions on activities during the COVID-19 pandemic have also become an obstacle for park managers to take care of plants intensively. This happens because there is no regular system for watering plants due to the busyness of the gardeners. The implementation method in service starts from site surveys and problem inventory, system design and manufacture, installation, training for managers, and evaluation. Technology was designed and built using Arduino Uno and Nodemcu ESP8266 as the central controller and the Blynk application to monitor and control the system using a smartphone. The system is equipped with several sensors, including DHT11 as a temperature and humidity sensor, a soil moisture sensor, and a rain sensor. Twenty-four mini sprinkler sprayer nozzles are used as plant sprinklers installed on each side and top of the greenhouse. The sprinkler and plant monitoring system that has been made has been successfully tested and works well. The plant watering system created can operate automatically using a smartphone and manual operation. The results of the application of this technology can be used by partners and can overcome the problems faced in treating and cultivating family medicinal plants efficiently
Pelatihan aplikasi Hand Craft untuk meningkatkan kompetensi teknologi di Nasyiatul Aisyiyah

Improving technological competence in an organization can be done in various ways. One of them can be done by conducting training on the technology. Like the Rabak Branch of the Nasyiatul 'Aisyiyah organization, related technology training, until now, is still rarely done. One of the activities that technological tools can support is making handicrafts. However, the activity of making handicrafts is still done traditionally. Often do not arrive at the expected result. This condition makes the activity of making handicrafts not optimal. Even the modules used are usually unavailable, so each member of Nasyiatul 'Aisyiyah cannot finish making these handicrafts after the activity. Therefore, this community service activity aims to introduce android-based technology in the form of handicraft applications and to help Nasyiatul 'Aisyiyah members make handicrafts. The implementation methods in this community service activity include giving lectures explaining handcraft applications, assisting participants, and direct practice using handcraft applications. The activity is carried out offline, which is located in Bustanul Athfal 'Aisyiyah Rabak. The steps in this community service activity start from preparation, implementation, and evaluation. The implementation of this community service activity indicates that the handcraft application training activities are included in good criteria, with the evaluation value from the results of the questionnaire calculation showing the figure of 79.58%. This shows that most of the participants have been able to understand and use handcraft applications in making handicrafts
METHODS OF PROCESSING TEXTUAL INFORMATION IN ENTITY ALIGNMENT ALGORITHMS

Entity alignment algorithms aim to find equivalent entities in cross-lingual knowledge graphs, which is important for the task of obtaining information about real-world objects. Recently, several studies have been conducted on entity alignment algorithms on various datasets. Algorithms using information about entity names have shown a wide range of results. In this paper, we have conducted a study of this phenomenon. Work has been done to improve the quality of matching cross-language entity names in vector space. Also, experiments with the modern models of processing natural languages have been carried out. The information obtained has led to a significant increase in the accuracy of entity alignment on the English-Russian dataset.
Remote Learning Challenges during the Covid-19 Pandemic

Technological advancements in the 21st century have rendered humans inseparable from technology. This situation demands that the school sector, notably in Indonesia, adjust to the changes that occur, particularly concerning the Covid-19 outbreak. The government shifted education to remote learning. This study discusses the difficulties encountered by teachers and students during remote learning caused by the Covid-19 pandemic. It describes how to overcome these challenges, as well as what needs to be prepared to implement remote learning. It also determines which applications may be used to facilitate remote learning. Interviews and observation were used for data collection. From a teacher and six first-grade students at SD Negeri Pakong 2, it was revealed that challenges experienced by teachers and students were in terms of difficulties in improving student learning outcomes, lack of gadgets, unstable internet connections, as well as unaffordable internet quota. Alternative solutions suggested in this study are conducting IT training, home visits, and proposing internet quota to the government. The recommended applications to overcome these problems are WhatsApp and Google Classroom.
ATTITUDES TOWARDS THE ONLINE EDUCATIONAL ACTIVITY IN ROMANIAN PRE-UNIVERSITY EDUCATION WITHIN THE PANDEMIC CONTEXT

Educational policy is, in a broad sense, the process of driving change and/or introducing innovations into the education system (Haddad &amp; Demsky, 1995; Haheu-Munteanu, 2019). In the work of government, the ministries in charge usually aim to manage this process, starting from the assumed political programs. These imply strategic objectives, action directions or implementation strategies. Sometimes, however, the various crises affecting social systems, and therefore also the education system, require the implementation of contextual solutions, decisions taken under conditions of uncertainty. Given the context of the Covid-19 pandemic and the need to implement measures that meet the need to protect the health of students and teachers, we aim, through this study, to capture the range of attitudes and perceptions related to the policies implemented, as well as the various changes in the professional training of teachers, training “forced” by the need to use technology in online teaching. By means of a sociological survey based on an online questionnaire to Romanian pre-university teachers, we aim to inventory teachers’ reports on some aspects related to the pandemic context: the beginning of the pandemic and the frustration associated with this moment, the pandemic and the development of different digital skills, but also future projections about the desirability of using different tools and digital skills developed during the pandemic in “post-pandemic” teaching activity.
Comparative Reconstruction Probabilistically: The Role of Inventory and Phonotactics

I introduce a novel quantitative methodology for evaluating manual comparative reconstructions. This method is incumbent on the existence of a manual comparative reconstruction and, unlike previous quantitative methods, cannot give a result contradictory to the reconstruction. The primary goal for this framework is to reconcile traditional and quantitative methodologies and act as an objective and accessible platform for comparative reconstruction, thereby extending the scope of historical linguistics further into the past. A few theoretical corollaries of the framework are also presented. It is shown that the likelihood that a reconstruction is spurious is related to some of the phonological properties of the descendent language. This likelihood is inversely correlated with mean word-length and segmental inventory size. Additionally, most active phonological processes and cooccurrence restrictions in the language – such as phonotactic constraints, prosodic effects, segment harmony, and neutralization – all serve to increase the likelihood that a reconstruction to that language is spurious.
Application of Mobile Virtual Reality Technology Combined with Neural Network in Facial Expression Recognition

In recent years, in the field of virtual reality, in more and more scenes, users interact with hardware or programs through facial expressions. In order to give full play to the advantages of program interaction between virtual reality devices and users, this paper proposes a mobile virtual reality expression recognition system combined with convolution neural network. Based on the optimized AlexNet network, an expression recognition algorithm is constructed and combined with LBP feature mapping technology to improve the performance of the algorithm. At the same time, according to the nature and characteristics of mobile virtual reality devices, the user face information acquisition algorithm is optimized. The performance test results of the expression recognition system show that the recognition accuracy of the system is higher than that of the traditional convolution neural network expression recognition algorithm, and the maximum difference is greater than 10%. At the same time, the average running speed of the whole system is about 37 ms, which can meet the accuracy and real-time requirements of expression recognition in virtual reality interaction. The experimental results show that the expression recognition system proposed in this paper can be applied to mobile virtual reality devices. At the same time, it also provides new ideas for industry researchers to optimize the identification function.
GROUP COMMUNICATION INCREASES STUDENTS' LEARNING MOTIVATION ONLINE

This study attempts to determine the impact of group communication generated at IPB Bogor on IPB students' learning motivation. Group communication was the independent variable in this study, whereas learning motivation was the dependent variable. Indicators of social connection function, educational function, persuasive function, problem solving and decision-making function, and therapeutic function are used to measure group communication variables. Intrinsic elements, such as interests, ambitions, and individual circumstances, are measured, as are extrinsic influences, such as worry about punishment, rewards, and praise, the involvement of parents, teacher wars, and environmental conditions. From April to May 2021, the research was conducted at Bogor Agricultural Institute for Bachelor and Vocational Programs. As it studies influences, the research method employed in this study is a quantitative approach utilizing explanatory questionnaires. The study's sample consisted of 100 persons chosen at random from a total of 22,744 people who met the sample criteria. Non Probability Sampling, often known as Accidental Sampling, is the sampling approach employed. Data analysis in the form of simple regression analysis is used in this study. The results of the questionnaires for each indication of group communication and enthusiasm to learn are summarized in 30 statements. According to the findings of this study, group communication has a significant impact on student learning motivation.
THE USE OF GENRE BASED APPROACH ON STUDENTS’ WRITING RECOUNT ACHIEVEMENT

Writing is one of language skills that students learn in the class, and based on the pre-research observation, students still have difficulty in determining the correct grammar to write. An appropriate approach can be applied in the class to help students to overcome their difficulty in determining the grammar. This research was conducted to prove the effect of Genre Based Approach on students’ writing recount text. This research uses pre-experimental method and one group pretest-posttest design. The sample was chosen by random sampling technique. The sample in this research is the second-grade students of Cibungbulang Junior High School. To collect the data, the researcher uses pre-test and post-test of their writing recount product. After collecting the scores of pretest and posttest, then they were analyzed using t-test. The result of the analysis shows that the null hypothesis is rejected (H0) whereas alternative hypothesis is accepted (Ha). It means, the use of Genre Based Approach significantly affect and effective to train students in writing.
Utilization Of Digital Library To Increase Reading Interest In Elementary School Students

The existence of a school library information system can improve the quality and speed of the service process for library users so that it can facilitate the teaching and learning process in the school environment. The purpose of this research is to find out the use of digital libraries can increase the reading interest of elementary school students. The method used in this research is Literature review. Literature review is a scientific study that focuses on one particular topic. The literature review will provide an overview of the development of a particular topic. Literature review will allow a researcher to identify a theory or method, develop a theory or method, identify gaps that occur between a theory and its relevance in the field / to a research result. The results of the study stated that with a digital library, students no longer need to bother bringing books to read or study, only by opening the digital library application, students can access all sources of information in the digital library. In the digital library, many things can be found, be it e-books, pictures, magazines, story books and so on that are already stored in the digital library. The conclusion is that the current use of digital libraries is very much needed in an effort to be effective in reading literacy so that it can increase student interest in reading. However, the weakness is that currently there are not many schools that have not utilized the applications used in making digital libraries so that access is still very little
Utilization Of The Shitsumon Education Application To Support Distance Learning at SDN Semplak 1 Bogor City

This study aims to benefit the Shitsumon Education application in supporting distance learning. This research uses descriptive qualitative method. The research was conducted in Class 3 SDN Semplak 1 Bogor City with a total of 28 students. Based on the results of the questionnaire, it can be seen that the Shitsumon Education Application can support students in learning because when taking the evaluation test there is no need to write on paper but directly in the application. From these results it can be seen that 1% strongly disagree, 2% disagree, most of the 41% agree and 20% strongly agree that this application is useful for them and motivates them. This shows the use of this learning media is very effective and effective. to maximize learning outcomes. Thus this Shitsumon Education application is an alternative application in learning activities.
Centrally controlled on-chip criminal face recognition embedded in traffic cameras

This paper evaluates the ability of convolutional networks to solve the problems arising with face classification in a constrained environment. It has the design and implementation of Siamese architecture used for face verification using a single set of the photograph. Because of the intrinsic nature of the problem, computer vision is not only a computer science area of research, but also the object of neuroscientific and psychological studies, mainly because of the general opinion that advances in computer image processing and understanding research will provide insights into how our brain works and vice versa. In the scope of the paper, the training process is closely monitored and we evaluate several practices and parameters as well as their impact on network learning. This paper introduces some novel models for all steps of a face recognition system using embedded computers. In the step of single-shot face recognition, we propose a hybrid model combining Openface artificial neural network combined with siamese network architecture to solve the process efficiently. In the first step, faces detected by Google's mediapipe library will be aligned by Geometric corrections. In this alignment step, we propose a new 2D local texture model based on relative eyes inclination.
Teaching English Language in Early Childhood

Learning English is a crucial skill that will enable youngsters to reach their full potential in the future. They can learn English quickly and successfully if they use the appropriate strategies since early childhood. As a result, it is critical that kids learn English that is both practical and beneficial. For youngsters, learning should not be a stressful experience. It should be entertaining as well as stimulating. Reading, listening, and speaking English should become second nature to them as a result of their study. They will learn more and use English language at a higher level as their confidence grows. This paper outlines various resources for EFL teachers to help youngsters learn a foreign language more effectively since they are in their early childhood. These are designed to help them teaching effectively while also providing the excitement and variety that children require. This paper's final section discusses how to ensure that youngsters learn English using easy approaches that will undoubtedly make teachers' jobs more enjoyable and rewarding. Furthermore, it is expected that the teachers would have enough new ideas to be the most inspiring teachers possible. Keywords : Teaching Language, Early Childhood
RANCANGAN MEDIA PEMBELAJARAN PROGRAM LINEAR BERBASIS ANDROID MENGGUNAKAN PROGRAM LECTORA INSPIRE DI SEKOLAH MENENGAH ATAS

This study aims to produce an Android-based linear programming learning media using Lectora Inspire that is feasible and effective for use in the learning process. This research is motivated by learning that must go hand in hand with technological developments and students have other learning resources not necessarily from the teacher, namely by using Android. This research is a research and development using a 4D model. The stages used are only up to Development. The subjects in this study were three material experts, three media experts and the responden of 24 students of grade XI. The object of the study is the product of the Android-based linear program learning media design using the Lectora Inspire program. The data collection instrument in this study to use a questionnaire. The result showed that the product made obtained an average score of 4.69 in the very eligible category based on material experts and an average score of 4.33 in the very eligible category based on media esperts Meanwhile, for students responses, obtained an average score of 4.19 was obtained in the eligible category. So the Android-based linear programming learning media using Lectora Inspire is feasible to use.
Automatic Web Data Entry and Intelligent Document Processing

There are documents in every company in the world, and more are being created all the time. They'll have to handle it manually. Manually completing papers requires a lot of time. When they spend too much time dealing with a paper filling approach, their productivity suffers. The project's objective is to create a bot that can extract data from unstructured documents and use deft OCR to turn them into structured versions.An example of an online form created with Google is an employee organization portal.The uploaded document by the employee will have specified data extracted by the bot. An excel spreadsheet will be used to store the extracted data.The necessary information is then automatically entered into the web form. It takes less time and produces data that are more accurate.
Digital trust and information and communication technologies

The aim of this chapter is to present the theoretical foundations and connections between digital trust and information and communication technologies (especially the Internet of Things, Cloud Computing, and Big Data Analytics). It begins by exploring the meaning of trust and digital trust. Next, it describes the characteristics of information and communication technologies, before setting out the connections between the Internet of Things, Cloud Computing, Big Data Analytics, and digital trust. The conclusion presents limitations of the study and proposals for new research directions.
Breast Cancer Detection using Convolutional Neural Network Models

This research paper discusses eight distinct convolutional neural network models for detection of breast cancer with the help of histopathology images. The eight different models are broadly classified into four main models, namely, VGC 16, DenseNet 201, MobileNet V2, and Inception V3, and use of optimizers for deriving different training and validity accuracies. This research paper compares all the 8 models on the basis of their accuracies and losses to determine a preferable model that can be used for breast cancer detection.
The Influence of Higher Order Thinking Skills, Vocabulary Mastery and Reading Motivation on Reading Comprehension Achievement

This research aims at finding out the influence of Higher Order Thinking Skills (HOTS), vocabulary mastery and reading motivation on reading comprehension achievement among State SMP Students in Magelang Regency.This research was an ex post facto involving three independent variables; students' HOTS (X 1 ), vocabulary mastery (X 2 ), and reading motivation (X 3 ) and one dependent variable, students' reading comprehension achievement (Y).The sampling technique was the proportional cluster random sampling.The research instruments were three tests and a questionnaire.The kind of validity of the tests was the content validity by experts' judgment.The construct validity of the questionnaire was measured by factor analysis.The reliability of the tests was measured by Cronbach's Alpha with the Alpha of HOTS test is 0.768, vocabulary mastery test's is 0.757 and the reading comprehension achievement test's is 0.716.The reliability of the questionnaire was measured by Cronbach's Alpha with the Alpha is 0.862.The data were analyzed using the multiple regression analysis continued by the partial correlation.The result of the multiple regressions indicates that HOTS, vocabulary mastery and reading motivation influence reading comprehension achievement with the F=236.709with the significant level below 0.05 which means that the three independent variables influence significantly on reading comprehension achievement.The Adjusted R Square is 0.653 which means that the reading comprehension achievement is 65.3% predicted by the three independent variables.The contribution of HOTS on reading comprehension achievement is 38.7%, vocabulary mastery is 50.3%, and reading motivation is 8.2%.