Reviewerly/exHarmony huggingface dataset:
Question Answering Chatbot using Ontology for History of the Sumedang Larang Kingdom using Cosine Similarity as Similarity Measure

Information can also be a means of learning for humans. Including information about history because history can be a means of learning for the younger generation to appreciate the nation's culture and build national identity. In the past, the Sumedang Larang kingdom was one of the many kingdoms in West Java, Indonesia, that could be used as much information as a lesson. Technological developments make more and more information available for study. We need the proper means to find the information we need. This study aims to build a Question Answering (QA) system to create a means for the younger generation to be more familiar with the history of the kingdom in the past. The QA system offers an information retrieval system that is easy to access and can immediately provide the answers we need. This QA system was built using ontology as a knowledge base and cosine similarity to determine the similarity between user questions and the dataset. The QA system that has been built is tested by providing a set of questions so that the system's performance can be measured, and the results of system testing get a precision value of 70% and a recall value of 90%.
BERT Implementation on News Sentiment Analysis and Analysis Benefits on Branding

The rapid development of information makes data processing easy and fast, especially in the business world, so many business brands have used the internet as a marketing medium for their operations. Now the business does not only depend on its operations; now, the opinion of the public media, especially on the news, has become an essential spotlight in today's business, especially against negative opinions that indirectly impact the image and product branding of the business, we need the proper means to help identifying and analyzing this kind of news. This study aims to identify and analyze sentiment with negative and positive indications on news titles from one of the sources of an Indonesian online news portal using the Bidirectional Representations from Transformers (BERT) sentiment analysis method, with the measurement of the confusion matrix metrics to measure and identify which headlines contains negative and positive indications. The sentiment analysis system offers identification and categorization with ease and immediately provide good results on identifying news. The results of this study, the sentiment model achieves an accuracy rate of 93% in identifying negative and positive news and F1-Score on negative identification rate of 92% and positive identification rate of 93%. The sentiment analysis system was built as effort to help analyzing against positive news indications or awful news as analysis benefits carried out to identifying alarming news indications towards branding.
Penerapan Metode Design Thinking Dalam Pengembangan UI dan UX

Website is a computer service that is connected with hypertext facilities. A bad user interface that is made carelessly will affect the user experience (UX), so that the information to be conveyed cannot be received properly. The Design Thinking method is proven to be able to provide solutions in designing user interfaces based on the experience, emotions, and situation of the user (user experience). PD. BPR NTB Sumbawa has a website that can be said to have not maximized the function of the user interface and user experience in the manufacturing process. The results of the questionnaire with a Likert scale to 30 respondents resulted in 47% of users agreeing with the inaccurate website layout. Based on these problems, this research applies the Design Thinking method to analyze and develop user interfaces and user experiences. This research resulted in user empathy map, user persona, user interface design based on define, wireframe and prototype stages in responsive form made using Figma. The prototype results have gone through a direct testing process by the user and produced a better display design based on the Design Thinking Method stage. The prototype display design is expected to make it easier for users to use Thinking and increase interaction satisfaction between users and products.
Commentary The STEM/STEAM education from the theory to the practice applied in the general education today

On May 4th, 2017, the Prime Minister issued Directive No. 16/CT-TTg on enhancing the capacity of approaches to the fourth industrial revolution, which emphasized the implementation of the STEM education in the general education curriculum. In addition, the new general education curriculum implemented in the orientation of integrating subjects in order to develop students' abilities has set a requirement for teachers to have the integrated teaching competence, including the STEM/STEAM education. With a desire to learn from the theory to the practice of the STEM/STEAM teaching application in the general education over the past time, in this study, we used the qualitative research method at five middle schools and five public high schools in Ho Chi Minh City. The interviewees included 10 administrators and teachers (one vice principal of training affairs and one teacher from each school). The type of interview used in this study is the semi-structured interview. The research results show that teachers themselves still lack interdisciplinary knowledge and have not been fully equipped with modern teaching methods and the number of lessons, duration of lessons, as well as facilities are still limited, which are one of the factors that make it difficult to implement the STEM/STEAM education in schools.
Securing the Internet of Things Through Blockchain Approach:Security Architectures, Consensus Algorithms, Enabling Technologies, Open Issues, and Research Directions

The rapid expansion of the Internet of Things (IoT), particularly in critical infrastructures, necessitates strict security and privacy standards.Owing to data proliferation, Cyber-physical systems (CPS) rely on computing platforms for the provision of services and resources.The futuristic "Beyond 5G" (B5G) enabled critical IoT infrastructures cannot run on centralized systems due to their security vulnerabilities that compromise the basic Confidentiality-Integrity-Availability (CIA) triad.Blockchain technology (BCT) is emerging as a key enabler in addressing IoT's security challenges, and it is compliant with the Fog-IoT architecture.The Ethereum platform has ushered an unprecedented development in BCT by facilitating application development.Blockchain (BC) connects the users' chain identity to the transactions associated with their tokenized digital assets and confers the ability to audit the system.The history of canonical transactions is recorded in an immutable fashion facilitating data tracking and deterrence of data repudiation.A Consensus mechanism (CM) governs the state transitions and the node behavior in building trust relationships between various entities in the absence of a central authority.Through Smart Contracts(SCs), distributed and trustworthy access control can be achieved for IoT systems besides enhancing automation.We argue that BCT adoption is inevitable in securing futuristic B5G enabled IoT critical infrastructures for ensuring flexible and fine-grained access control, authentication, communication, and data security.Various challenges are associated with their adoption, such as the rising cost of Ethereum and constraints in the IoT environment.To facilitate BC solutions for IoT security, the functionality of BCT must be complemented with other technologies such as Machine Learning (ML), Edge Computing (EC), and InterPlanetary Filesystem(IPFS).
DESIGNING A CLASSROOM LEARNING IN A UNIVERSITY USING THE ELECTRONIC LEARNING COURSE

The coronavirus pandemic that has taken over the whole world has changed the vector of education from the traditional form of its organization to distance and hybrid, thus actualizing the demand for e-learning content. At the same time, the importance of introducing electronic content into the educational process at all levels of educational organizations is determined by the legislative practice of our country, which regulates the need to create a digital educational environment in educational institutions. An e-learning course is one of the examples of the introduction of e-learning content into the educational practice of universities. The research is focused on the substantiating the possibilities of an e-learning course as a new format for designing the educational process at a university in the context of the digital revolution, which is the problem of our study. The purpose of the research is to reveal the experience of designing the educational process in a university in elective disciplines in Physical culture and sports using an electronic training course. This goal was achieved through the use of such research methods as the bibliographic method, generalization, description, visual presentation of data. The results of the research are the following 1) the concept of an e-learning course has been disclosed and its functions identified; 2) the elements of the e-learning course have been described; 3) a draft e-learning course on discipline B1.O.19 "Elective disciplines in Physical culture and sports" has been presented; 4) features of e-learning courses have been revealed. Key conclusions: 1) an electronic training course is a media product containing information material within the framework of the curriculum of disciplines, designed to implement the didactic capabilities of information and communication technologies and support the educational process; the electronic training course performs managerial, stimulating, optimizing and communicative functions; 2) the main elements of the electronic training course are information-content, control-communicative, correctional-generalizing blocks; 3) the project of an electronic training course in the discipline B1.O.19 "Elective disciplines in Physical culture and sports" includes general information about the course, content, availability of hyperlinks to the material; 4) features of e-learning courses are: openness, multimedia, modularity, mobility, flexibility, the ability to build an individual educational trajectory for each student.
DIGITAL CULTURE OF A MODERN TEACHER AS A PROFESSIONAL ACTIVITY RESOURCE IN THE CONDITIONS OF EDUCATIONAL SPACE DIGITAL TRANSFORMATION

The digital service has firmly entered all areas of social and economic activity, including education. The activity of a modern teacher in the digital educational environment is its integral component. The development of "digital citizenship" as a whole largely depends on the formation of the digital culture of a teacher as a translator of the ideas of the state educational policy. The relevance of considering the problem of digital culture formation among teachers is due to the following contradictions: between the increasing importance of a teacher in the process of digitalization of education and poor development of the content of its digital culture and its components as determinants of professional pedagogical activity in a digital educational environment; between the growth of digitalization of the educational process and the insufficient level of formation of digital culture among teachers. These contradictions form the basis of our research, the problem of which is to reveal the features of the digital culture of a modern teacher as a resource for his professional activity in the context of the digital transformation of the educational space. The purpose of the research is to theoretically substantiate the essence and component composition of the digital culture of a modern teacher as a resource for his professional activities in a digital educational environment. This goal was achieved through the use of the following research methods: literature analysis, classification, modeling, description, ways of visualizing data in the form of figures and tables. The results of the research: 1) the analysis of scientific sources has made it possible to determine the conceptual approaches to considering the problem of the digital culture of a teacher, which made it possible to accumulate information and develop a map of the component composition of a teacher's digital culture; 2) the basic components of a teacher's digital culture have been theoretically substantiated: digital literacy and motivational-value attitude; 3) a procedure for assessing the level of formation of a teacher's digital culture has been proposed. Key conclusions: 1) the map of the component composition of the digital culture of a teacher is an integrative information about the essence and composition of the digital culture of a teacher and includes the types of digital competence, their corresponding competencies, indicators and digital skills; 2) the basic components of a teacher's digital culture are digital literacy and a motivationalvalue attitude, each of which is represented by indicators and digital skills corresponding to it; 3) the methodology for assessing the formation of a teacher's digital culture includes a level scale and the calculation of an individual index of digital competence. The information contained in the article can be used as the basis for developing a program of advanced training courses and professional retraining of teachers aimed at creating a digital culture in the educational environment.
An Analysis of Students' Experience in the Use of Moodle in Writing Class during Pandemic Covid-19

Covid-19 has been declared a worldwide pandemic. The government implemented learning from home to preserve the health of students and school stakeholders. The writing class is frequently conducted through a face-to-face learning scheme. It encouraged learners to interact with their lecturers and receive the materials as well as the feedback directly. Along with the university's online learning policy, Moodle evolved as one of several tools for managing online learning, particularly in writing classes. It constitutes certain limitations on the teaching-learning process. Students had new experiences as a result of the quick changes in the learning scheme. The researchers aimed to investigate how the students experienced using Moodle in writing class during pandemic COVID 19 and to investigate students’ perception of the effectiveness of using Moodle in writing class. This research is qualitative research. The writer used the phenomenology approach. The participants were 23 students from the fourth semester of the English education department Universitas Bhinneka PGRI. Interview and questionnaire were used by the researchers in collecting the data. Data analysis can be described in three stages as Organizing and familiarizing and Coding and reducing, and Interpreting and representing. The data was presented in a descriptive form to capture the explanations, thoughts, and experiences of the participants. Based on the students' experiences, the results show that using Moodle in writing class benefited students in a variety of ways, especially during the Covid-19 pandemic. However, there are certain problems that students encountered. Despite their difficulties, they were able to overcome problems. According to the students' perceptions, the use of Moodle in the writing class was generally well-received. According to the majority of students, Moodle is effective in writing class, especially during the Covid-19 pandemic.
E-Modules Through Flipped Classroom and PBL Models on Environmental Pollution Material to Increase Problem-Solving Ability

The lack of educator knowledge regarding technology, information, and the use of learning media can increase learning boredom which causes students to lack understanding of the material presented by the teacher. So there needs to be innovation in order to have a positive impact on students by using the media. This study aims to develop an android mobile-based e-module on environmental pollution material. This type of research is development. Research using research and development methods. The test subjects were 72 students. The sampling technique uses probability sampling with the simple random sampling method. The methods used to collect data are interviews, questionnaires, and tests. The instruments used to collect data were interview sheets, questionnaires, and test questions in testing the effectiveness of the e-module using a quasi-experimental non-equivalent pretest-posttest control group design. The results of the research stated that using Android-based e-modules was appropriate for learning environmental pollution material. It was concluded that the e-module based on android mobile could improve the problem-solving skills of Class X high school students in biology subjects. Android-based e-modules can help students learn.
GEOARCHAEOSITES FOR HERITAGE TOURISM PRODUCT OF KUALA MUDA DISTRICT, KEDAH, MALAYSIA

Archaeological research in the Kuala Muda district until 2022 has recorded three archaeological complexes that are still in-situ and can be visited by tourists. The archaeological evidence at Sungai Batu, Bukit Batu Pahat and Pengkalan Bujang Archaeological Complex which proves the existence of the Kedah Tua kingdom as the main trading location in the world. In order to obtain primary data, field research such as surveys, mapping and archaeological excavations are carried out to obtain in-situ data. The results of the study revealed that the Sungai Batu Archaeological Complex has been used as an iron smelting industrial area since 788 BC while the Bukit Batu Pahat and Pengkalan Bujang Archaeological Complexes have been used as a port and a Hindu-Buddhist complex since the 7th Century AD to the 13th Century AD. Based on the uniqueness of the archaeological data in the complex, as many as five tourism packages have been created to preserve this archaeological heritage tourism with the Sungai Batu Archaeological Complex (SBAC) has been made as a one stop center for the management of the tourism package.
Real-time recognition of American sign language using long-short term memory neural network and hand detection

Sign language recognition is very important for deaf and mute people because it has many facilities for them, it converts hand gestures into text or speech. It also helps deaf and mute people to communicate and express mutual feelings. This paper's goal is to estimate sign language using action detection by predicting what action is being demonstrated at any given time without forcing the user to wear any external devices. We captured user signs with a webcam. For example; if we signed “thank you”, it will take the entire set of frames for that action to determine what sign is being demonstrated. The long short-term memory (LSTM) model is used to produce a real-time sign language detection and prediction flow. We also applied dropout layers for both training and testing dataset to handle overfitting in deep learning models which made a good improvement for the final result accuracy. We achieved a 99.35% accuracy after training and implementing the model which allows the deaf and mute communicate more easily with society.
Cross-modal dynamic sentiment annotation for speech sentiment analysis

Traditionally, one single hard label determines the sentiment label of an entire utterance for speech sentiment analysis. It obviously ignores the inherent dynamic and ambiguity of speech sentiments. Moreover, there are few segment-level ground truth labels in the most existing sentiment corpora, due to the label ambiguity and annotation cost. In this work, to capture segment-level sentiment fluctuations across one utterance, we propose sentiment profiles (SPs) to express segment-level soft labels. Meanwhile, we introduce massive multi-modal wild video data to solve the data shortage problem, and facial expression knowledge is used to guide audio segments generate soft labels through the Cross-modal Sentiment Annotation Module. Then, we design a Speech Encoder Module to encode audio segments into SPs. We further exploit the sentiment profile purifier (SPP) to iteratively improve the accuracy of SPs. Numerous experiments show that our model achieves state-of-the-art performance on CH-SIMS and IEMOCAP datasets with unlabeled data respectively.
STUDENTS’ CHALLENGES AND LANGUAGE LEARNING STRATEGIES IN A GROUP PRESENTATION IN THE POST-PANDEMIC ERA

During the pandemic, online learning was the inevitable surge. Now, in the post-pandemic recovery, schools and universities have initiated to start offline learning. This research attempts to investigate challenges and students’ language learning strategies in giving a group presentation in the post-pandemic era. Fifty students, the third semester students taking Pre-Advanced Speaking class at STBA JIA Bekasi, participated in this research. The participants involved had online learning for the last two semesters and the third semester was their first time having offline classes. So, to address the research questions regarding their challenges and language learning strategies, the questionnaire was distributed. The findings showed that most of the students believed confidence was their major challenge in giving a group presentation in the post-pandemic era. While for the language learning strategies, the majority of participants adopted cognitive strategies such as planning and organizing their presentation.
Integration of Vehicle Dynamic Model and System Identified Model for Navigation in Autonomous Mobile Robots

vehicle dynamic models are the basis of various navigation algorithms in autonomous mobile robots (AMRs), describing the vehicle motion purely by physical law. However, its simplifications on the system complexity and assumptions on the environments prevent it from providing accurate positioning results. Instead of introducing sensors to correct its pose estimation error, this study aims to utilize the endogenous information of AMRs to improve positioning performance. A system identification process is conducted to identify the system dynamics of the plants in AMRs, where the identified system dynamics is integrated into the development of vehicle dynamic models. Experiments on two scenarios show that the proposed method achieves better positioning results and navigation performance than conventional vehicle dynamic models, demonstrating the potential of endogenous information in AMRs to enhance their ability on navigation tasks. In addition, this study contributes to the literature that builds the bridge between system identification and navigation in AMRs.
An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization

Quantum linear system algorithms (QLSAs) have the potential to speed up algorithms that rely on solving linear systems. Interior point methods (IPMs) yield a fundamental family of polynomial-time algorithms for solving optimization problems. IPMs solve a Newton linear system at each iteration to compute the search direction; thus, QLSAs can potentially speed up IPMs. Due to the noise in contemporary quantum computers, quantum-assisted IPMs (QIPMs) only admit an inexact solution to the Newton linear system. Typically, an inexact search direction leads to an infeasible solution, so, to overcome this, we propose an inexact-feasible QIPM (IF-QIPM) for solving linearly constrained quadratic optimization problems. We also apply the algorithm to ℓ1-norm soft margin support vector machine (SVM) problems, and demonstrate that our algorithm enjoys a speedup in the dimension over existing approaches. This complexity bound is better than any existing classical or quantum algorithm that produces a classical solution.