Reviewerly/exHarmony huggingface dataset:
Extended Reality Telemedicine Collaboration System Using Patient Avatar Based on 3D Body Pose Estimation

Recent advances in extended reality (XR) technology have opened the possibility of significantly improving telemedicine systems. This is primarily achieved by transferring 3D information about patient state, which is utilized to create more immersive experiences on VR/AR headsets. In this paper, we propose an XR-based telemedicine collaboration system in which the patient is represented as a 3D avatar in an XR space shared by local and remote clinicians. The proposed system consists of an AR client application running on Microsoft HoloLens 2 used by a local clinician, a VR client application running on the HTC vive Pro used by a remote clinician, and a backend part running on the server. The patient is captured by a camera on the AR side, and the 3D body pose estimation is performed on frames from this camera stream to form a 3D patient avatar. Additionally, the AR and VR sides can interact with the patient avatar via virtual hands, and annotations can be performed on a 3D model. The main contribution of our work is the use of 3D body pose estimation for the creation of a 3D patient avatar. In this way, 3D body reconstruction using depth cameras is avoided, which reduces system complexity and hardware and network resources. Another contribution is the novel architecture of the proposed system, where audio and video streaming are realized using WebRTC protocol. The performance evaluation showed that the proposed system ensures high frame rates for both AR and VR client applications, while the processing latency remains at an acceptable level.
CLOUD TECHNOLOGIES IN EDUCATION: THE BIBLIOGRAPHIC REVIEW

The paper considers the use of cloud technologies in education through the prism of bibliographic analysis. The article characterizes the current state of cloud technologies in education, summarizes the trends, and forecasts the directions of recent scientific research. The leading research methods were bibliographic (visual and quantitative) analysis of keyword networks and qualitative discussion. The bibliographic analysis is based on publications indexed by the scientometric database Web Of Science over the past 20 years. The sample for analysis was formed by searching for the words cloud technology, education, learning, and teaching. The results of the study showed: a significant increase in the popularity of cloud technologies in education in recent years; an increase in the number of studies related to various aspects of educational activities under the influence of Industry 4.0; a gradual increase in the number of studies on the virtualization of the educational process and the use of artificial intelligence in education; dissemination of research on the effectiveness of various types of training using cloud services and teaching methods based on artificial intelligence; the relevance of the trend of visualization of educational material and visual analysis in education. The qualitative discussion provided grounds to identify general trends regarding future research directions.: development of mass online courses and learning technologies (immersive, the use of virtual, augmented, and mixed reality, gaming learning technologies, BYOD approach); further virtualization of universities; development of inclusive education, educational analytics, and assessment (formative and adaptive computer assessment); early training of teachers to use cloud technologies and specialized services in subject learning; research related to visualization (big data, design, simulation, simulation of various processes, etc.) and the designing of relevant new academic disciplines; research of STEM and STEAM education.
PKM. PENDAMPINGAN ANAK MELINIAL DALAM MELESTARIKAN SENI PEWAYANGAN BALI SEBAGAI WARISAN BUDAYA LELUHUR DI BANJAR PADANG, DESA KEROBOKAN, KECAMATAN KUTA UTARA KABUPATEN BADUNG, BALI

In addition to its religious function, the Balinese shadow puppet performance art also functions as an educational medium. In this regard, shadow puppet performances can be seen as an informal educational process that has great significance in understanding attitudes, mental, ethical and logical values. In order to preserve Balinese wayang kulit, the role of millennial youth is very important and complex, namely as heir artists (dalang) who preserve wayang art. In general, shadow puppet shows today are still the favorite of the Balinese people, but in several villages the existence of wayang is almost extinct because millennial young people as heirs do not want to learn wayang for reasons of being busy so that one day the art of wayang could be lost. The case is in Banjar Padang, Kerobokan Village, North Kuta District, three regenerating families of shadow puppet masters do not want to learn wayang so they need assistance. The wayang art companion will provide an understanding of the preservation, function and meaning of Balinese wayang, so that service to the community, especially in the world of wayang art, can be realized.
Aesthetic In-Access: Notes from a CripTech Metaverse Lab

Abstract “Metaverse” technologies, such as spatial audio, virtual reality (VR), and augmented reality (AR), present new possibilities for disabled artists. To explore how artists use metaverse technologies – as well as the frictions that inhibit access – the authors describe the events of “CripTech Metaverse Lab,” which invited a cohort of disabled artists for a three-day workshop featuring metaverse experiences and a speculative design lab. Observing how participants creatively navigated these encounters, we introduce “aesthetic in-access” as a shared praxis developed bydisabled users that transforms barriers to access into artistic expression. In doing so, we outline a metaverse future that centers disabled expression and joy.
Boost for neutral-atom qubits

Quantum gates based on neutral-atom qubits can have low error rates and benefit from a new “error erasure” strategy, as Dina Genkina reports
PEMBUATAN MODEL NAVIGASI BERBASIS AUGMENTED REALITY DENGAN METODE MARKERLESS DI GEDUNG RISE CENTER

The current navigation system is crucial as it can facilitate human location search. However, only a small number of buildings in Indonesia implement indoor navigation systems. An indoor or building-based Augmented Reality navigation system can save time because it combines virtual objects with the real physical world through a 3D path alignment that corresponds to real-world features. This system will assist users in finding their way within the RISE Center building when they first arrive or when they have difficulty locating specific rooms. The system uses markerless Augmented Reality and can determine the user's initial location when they are at the starting point or when they scan QR codes at specific points. This system has been tested in the RISE Center building of the Faculty of Engineering and Science at Ibn Klahdun University (UIKA), Bogor. The results demonstrate that the system can serve as an effective platform for displaying location information without requiring an internet connection.
Inventory Information System: Optimizing Inventory Management for Company Business Sustainability

This research aims to investigate and describe the impact of implementing the Inventory Information System (SIPB) in optimizing inventory management, focusing on efforts to improve the company's business sustainability. The specific research objectives include analyzing operational efficiency, evaluating the impact on customer service, assessing business sustainability, identifying challenges and obstacles, and providing a conceptual framework for sustainability. Lalumiere Aesthetics Clinic is a clinic that operates in the field of beauty. One of the activities is inputting incoming and outgoing goods. At the clinic, there is often a shortage of medicine stock in the warehouse, which overwhelms the staff, and there is often an unbalanced amount of stock and the number of goods out, causing many losses to the clinic. So a system is needed that can overcome this problem. After reviewing it again, inventory management at the Lalumiere clinic is still done manually. That is, incoming and outgoing goods are written in a notebook. Hence, errors often occur, such as the number of goods needing to be balanced, causing the company to experience losses. The research method used is a literature study to understand the basic concepts of inventory information systems and the use of Laravel as a website application development framework. Prototype Development to design and develop a prototype inventory information system using Laravel as the main framework. The research results show that implementing an inventory information system using Laravel has increased the company's operational efficiency. Recording, monitoring, and managing inventory becomes more structured and automated, reducing the time required for routine tasks.
Pengembangan Gim Edukasi Pengenalan Jenis Anjing Ras Berbasis Android

This study aims to develop an educational game to be a medium for introducing dog breeds based on Android and developed using the Unity game engine with a quiz-themed game model. Game Development Life Cycle(GDLC) is used as the method of developing this game with stages: initiation, pre-production, production, testing, beta and release. The final result of this research is an educational game entitled “Introduction to Dog Races” which can be played on Android devices. Based on the results of the user trial questionnaire on 13 respondents, 38,5% (5 people) stated “Agree”, 53,8% (7people) stated “Strongly Agree” that the respondents became more familiar with dog breeds after playing the educational game “Introduction to Dog Races” .
Pengembangan Aplikasi Analisis Sentimen Aplikasi PeduliLindungi Menggunakan Metode Naïve Bayes

This study aims to build sentiment analysis application using Naïve Bayes method to analyze public view about an application called PeduliLindungi, and measure it’s accuracy by using twitter dataset. PeduliLindungi is an application developed by the government in order to track and stop Coronavirus Disease (COVID-19). The dataset used in this study is collected by using crawling method with Tweepy. Collected dataset will then go through data pre-processing and labeled by using VADER in order to separate it into positive and negative sentiments. The data will be weighted based on the frequency of its occurrence in all tweets using the TF-IDF method. The weighted data will then be classified using the Naïve Bayes method. This research used the incremental method both in model and software development. The results obtained in this study is a model with an accuracy score of 85% and an average precision, recall, and f1-score of 85%.
SmishShield: A Machine Learning-Based Smishing Detection System

The surge in mobile device adoption has led to an increase in cyber threats, particularly Short Message Service (SMS) phishing (smishing), which poses significant risks to personal and financial security. To address this growing concern in the context of Ghana, we have introduced Smishield—a machine-learning-based smishing detection system. By utilizing Term Frequency-Inverse Document Frequency (TF-IDF) vectorization, SMS messages are converted into numerical representations, effectively capturing their underlying meaning. Our evaluation encompasses a variety of classification algorithms, such as Support Vector Machines, Logistic Regression, Decision Trees, and Random Forest, while considering different test and training ratios. Through thorough assessment, the Random Forest Tree algorithm emerges as the optimal candidate, boasting remarkable statistics of 99.47% accuracy, 98.91% precision, and an impressive Area Under the Curve (AUC) score of 99.95%. In the context of our study, the model derived from our efforts is named SmishShield. We conducted a comprehensive evaluation by benchmarking it against other models, and the results demonstrate its notable performance.
PROJECT BASED LEARNING METHOD: TEACHING AND LEARNING BAHASA IN D-CLASS OF 2021 NURSING STUDY PROGRAM AT UNIVERSITAS BINA SEHAT PPNI MOJOKERTO

The application of project-based learning in the Indonesian Class D Class 2021 Study Program Nursing at Universitas Bina Sehat PPNI Mojokerto is described in this study. Project assignments focus on creating community service initiatives and gathering research based on the outcomes of service projects completed by students at their schools. The project organizes volunteer work for the community and gathers academic papers to help students develop their four language skills listening, speaking, reading, and writing so they are proficient in using Indonesian both orally and in writing. This study makes use of qualitative research techniques, which provide descriptive information via interviews, observations of people's behavior, or written or spoken statements from participants. Observation and documentation are two data collection methods. Both observation and documentation are methods of data acquisition. The researcher's analysis of the data is as follows: (1) Data compression In this process, the data are chosen based on their level of relevance and relationship to the data group. They are then gathered into one unit and coded. (2) presenting data through gathering pertinent data, and (3) drawing inferences to understand the significance of the sporadic symptoms. Based on the findings and discussion, it can be said that students successfully applied the project-based learning approach to language learning when they planned and carried out community service projects. They were also able to construct coherent and methodical scientific articles on the outcomes of their community service projects.
Prestasi Akademik Ditinjau dari IQ dan Jalur Masuk Perguruan Tinggi Mahasiswa Psikologi Universitas Negeri Makassar

Student academic achievement indicators are known as the Grade Point Average (GPA). The GPA score of a student is a picture of a student's academic performance while studying at Higher Education (PT). Students will get a grade point index every semester so they will know how much score they get for each subject that has been printed on the Study Plan Card (KRS). Obtaining a GPA which is a description of student academic achievement is of course influenced by many factors both internal and external to students. One of the internal factors that play a role in the academic process is the intelligence factor. Adequate intelligence abilities make it easier for students to understand lecture material. Basically, students' cognitive abilities are not only seen through IQ, academic performance before entering higher education is also a consideration for students to be accepted at a tertiary institution. Because of this, there are various pathways into Higher Education that students can take by considering the academic grades obtained in high school. Students who have academic and non-acadebjwhmic achievements and take the SNMPTN route. For prospective students who do not excel in high school, they can take the SBMPTN route. Furthermore, some students who do not pass the SBMPTN will usually take the independent route to enter PT. In this regard, this study aims to determine differences in academic achievement and potential in terms of university entry pathways. This research captures the potential of 427 new students from the Faculty of Psychology, Makassar State University (UNM). The instruments used are questionnaires and IQ tests. This type of research is a quantitative research with logistic regression analysis using SPSS statistics and its implications are used as a basis for seeing student potential. The results of the study show two research results, namely 1) There is a relationship between IQ and learning achievement in Class 2021 Students of the Faculty of Psychology UNM, 2) There is a significant difference in the learning achievement of Class 2021 Students of the Faculty of Psychology UNM in terms of university entry pathways.
A Practical Study of Using Fixed and Tracker Solar Systems in Mosul City

Solar energy is currently one of the fastest-growing types of renewable energy, with global capacity increasing significantly in recent years. The amount of energy that can be extracted from a solar panel will change with changes in directly the position of the sun. This is because the amount of sunlight that reaches the panel will vary depending on the incident angle and position of the sun in the sky. The angle of solar radiation incident is one of the most effecting factors on the productivity of photovoltaic (PV) solar panels, thus, the highest productivity of (PV) solar panels can be obtained when solar radiation incident is perpendicular to (PV)solar panels. Thus, there was a need to use solar trackers to raise the productivity of (PV) panels to the highest possible limit. In this paper, a practical study is conducted to determine the productivity of a fixed (PV) system and (PV) system with a solar tracker, then compare the results for both systems. This study is implemented for different days of the year and specified for the city of Mosul, located at a longitude of 43 degree and a latitude of 36 degree. The results show that the generated power of the tracking system is increased by 24 to 43 % compared with the fixed system in Mosul city.
Improved Chaotic Aquila Optimization Algorithm Based on Artificial Hummingbird Algorithm

The widespread presence of organisms in nature and their unique ways of obtaining nourishment has piqued the curiosity of scientists, leading them to create mathematical models that mimic these organisms. These models have found applications in resolving math problems that are typically challenging and require substantial effort to solve. However, these models may have limitations and may require modifications to enhance their performance. In this study, two methods were employed to ache the optimal solution. The initial phase involved utilizing The Aquila Optimization Algorithm (AO) in combination with the chaos function and chaotic tent function to obtain the optimal solution. This phase served as the foundation of the work. Subsequently, the first phase was further refined by incorporating the artificial hummingbird algorithm (AHA) into the model. This hybridization process entailed integrating communities and equations, and the optimal solution was obtained by performing 1000 iterations in both phases. The research was carried out using MATLAB 2021 as the software platform, providing a robust framework for implementing and evaluating the proposed methods.
PKM. PENINGKATAN KEMAMPUAN MENULIS ARTIKEL ILMIAH SAINS MELALUI KEGIATAN PENGABDIAN MASYARAKAT PADA GURU SD NEGERI APUAN BANGLI

Scientific work is a published written report that discloses the results of research or studies carried out by a person or team by fulfilling scientific principles and ethics adhered to by the scientific community. Scientific publications are currently experiencing very significant changes, from where the initial format of using print media has changed to electronic media. The purpose of this community service is to improve the ability of teachers to write scientific articles in the field of science at SD Negeri Apuang Bangli. There are 3 main activities in this service, namely the first meeting for training in writing scientific articles by providing examples and critical review of how to write scientific articles. The second activity is by giving assignments to make the core points of writing scientific scientific articles, and the third activity is carrying out mentoring to provide scientific scientific article consultations that are made according to the intended journal template. Based on the evaluation of the implementation of community service activities and the results of the normalized gain test it appears that there has been an increase in the ability to write science scientific articles for elementary school teachers through this community service activity of 0.75 (high category). The conclusion from this community service activity is that there has been an increase in the ability to write scientific scientific articles for teachers of SD Negeri Apuan Bangli.
A Literature Review on the Application of Ibeacon in Education Settings

With the advent of iOS 7, a new technology from Apple called iBeacon appeared, iBeacon made a significant step forward in the Internet of Things (IoT) (Townsend, 2023). As technology is becoming a more central part of people’s lives, people’s devices start to talk to each other more and iBeacon helps a device figure out what is nearby and what it can talk to. Currently, iBeacon is also widely applied in education settings, which promotes heated discussion on its potential in education sector application (Spachos &amp; Mackey, 2018), many publications have also been issued in the academia on the application of iBeacon in education settings, but so far, there has not been any review on these studies. This article presents a literature review of the studies on the application of iBeacon in education settings published from 2016 to 2020, aiming to discuss the widespread application of iBeacon in educational contexts, and shed light on its innovative potential and revolutionary potential; the discussions on using iBeacon in smart green building courses, context-aware ubiquitous learning environments, flipped classroom learning, and smart campus classroom attendance system show that iBeacon can efficaciously support teachers’ instructional activities and students’ learning activities, help teachers quickly obtain students' learning situation in classroom and then may adjust their instructional approaches or contents, and help pupils effectually engage with their daily learning and develop their learning skills.
Analysis of Drought in Jember Regency Based on Remote Sensing and Geography Information System

In 2019 the drought that occurred in the Jember Regency area was recorded as many as 39 times spread across 13 regions. The objective of this study is to produce a map of the potential for drought in the Jember Regency area using GIS (weight and score for parameter) and remote sensing techniques. Th
Automating Attended Home Deliveries with Smart Contracts: A Blockchain-based Solution for E-commerce Logistics

The rapid growth of e-commerce has placed considerable strain on traditional logistics systems, prompting a need for innovative solutions to optimize delivery processes and enhance customer satisfaction. This research paper presents a decentralized crowdsourced delivery application that leverages blockchain technology and smart contracts to address the challenges faced by centralized logistics models. The proposed system allows e-commerce companies to outsource product deliveries to carriers from a diverse pool, offering greater flexibility and cost-effectiveness while also enhancing transparency and trust among all parties involved. Built on the Ethereum blockchain, the application manages both the delivery and return processes, generating verifiable proofs of delivery (PoD) and proofs of return (PoR) for each transaction. The paper provides a comprehensive analysis of the system architecture and the implementation of the application using smart contracts. Furthermore, it explores the potential impact of the proposed system on e-commerce companies, carriers, and customers, and identifies challenges and future directions for research and development in this field. The findings of this study contribute to the ongoing discourse on the transformative potential of blockchain technology and crowdsourcing in the e-commerce logistics industry, offering valuable insights into the design and real-world application of a decentralized delivery system.