Reviewerly/exHarmony huggingface dataset:
Analysis of Edu-Smart Learning Management System Software

Edu Smart is a learning management system software (LMS) that was built as one of the distance learning solutions during the COVID-19 pandemic and became a resource for learning activities and administration activities. This research aims to measure the quality of Edu Smart LMS related to operational products used by the McCall method. The analysis is carried out on aspects of product operation consisting of the quality factors of correctness, reliability, efficiency, integrity, and usability. The data was collected through questionnaires from 28 respondents consisting of teachers, students, and UPT ICT staff of Universitas PGRI Semarang. The results showed that the overall quality of Edu Smart LMS is at the level of 52.6% (the quality of LMS Edu Smart is quite good). Several recommendations were given for the improvement and development of LMS Edu Smart, among others related to the addition of features, security, and ease of access.&#x0D; Keywords: Learning management system; Edu-Smart; Mc. Call method.
Research on the Training Strategy of School-Based Curriculum Development Ability of Secondary Vocational Teachers

The school-based curriculum development of secondary vocational teachers is helpful to improve their ability of curriculum reform and promote their professional development. Through in-depth analysis of the current situation of school-based curriculum development ability of secondary vocational school teachers, this paper explores the reasons why secondary vocational school teachers lack school-based curriculum development ability, summarizes the factors that affect the school-based curriculum development ability of secondary vocational school teachers, and looks for training strategies to enhance the school-based curriculum development ability of secondary vocational school teachers, so as to commit to improving the high-quality development of secondary vocational education, and enhance the recognition and adaptability of secondary vocational education.
Influence of Digital Literacy on Learning Engagement among Secondary Students in Malaysia

Digital literacy is essential in 21st learning as technology has been embedded in the school curriculum. However, studies found that students still lack digital literacy skills in managing their education purposes, especially during Pandemic Covid 19. Therefore, this paper aims to examine the influence of digital literacy on student learning engagement. Survey questionnaires have been distributed among secondary school students in Malaysia. Findings show that students have good digital literacy, and factors such as socio-cultural is the highest score, followed by learning environment and individual factor. Keywords: Digital Literacy, Learning, Engagement, Student eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of AMER (Association of Malaysian Environment-Behavior Researchers), ABRA (Association of Behavioral Researchers on Asians), and cE-Bs (Centre for Environment-Behavior Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia.
USER EXPERIENCE DESIGN AND ARCHITECTURE – AN APPLICATION WITH ARDUINO

User experience design, which provides the emergence of user-oriented designs, while meeting the needs of users functionally, also deals with their emotions and perceptions. With this interactive design approach, personalized design alternatives can be offered in accordance with the expectations of the users. At the same time, the flexibility with changing conditions, demands and pleasures ensures that designs are sustainable. Architecture is one of the disciplines where user experience design can effectively use. The inability of changing of buildings in traditional architecture causes another inability that to respond user’s current needs and demands. Thus, in modern architecture many researchers and designers investigate for a solution to create different spaces. Moving, flexible and interactive spaces, which are shaped with demands and needs of the users, give importance to the user experience. In this context, a tent was designed as a temporary shelter with caring the user experience and changes depending on the demands and needs of the user, by using the Arduino Uno microcontroller development board. The prototype experiments of the tent design, which was modeled with SketchUp and rendered with Lumion, were made with the Fritzing program. Arduino Uno, sensors, lamp, relay module and servo motors were used in the tent design and the space was enabled to interact with the user's different senses. Two different sensors, temperature-humidity and sound were used in the study. The temperature-humidity sensor interacts with both the user and the environment. Since precipitation occurs when the relative humidity in the air reaches 100%, the program is coded to turn off the panel on the top of the tent when the humidity in the air reaches 70%. With the help of the sound sensor, predetermined colors are lit on the front panel of the tent with the user's hand clap. In the study, it is aimed to create different experiences by providing the interaction between the body and the space.
From Battery Manufacturing to Smart Grids: Towards a Metaverse for the Energy Sciences

Abstract Invited for this month's cover picture is the work from Prof. Alejandro A. Franco's group at the Université de Picardie Jules Verne. The front cover shows three screenshots of the reported virtual reality digital twin of a battery manufacturing pilot line, designed as an educative game to engage students and the general public on battery sciences. Read the full text of the Concept at 10.1002/batt.202200369 .
PERANCANGAN SISTEM INFORMASI DANA KAS KECIL BERBASIS WEB PADA PT WAHANA MURNI PLANTATION JAKARTA

An accounting information system is an organization of forms, records and reports that are coordinated in such a way as to provide financial information needed by the management of a company to facilitate management within a company. Accounting information systems include the use of information technology to provide information for users and management. PT Wahana Murni Plantation uses petty cash which must be recorded systematically and provides fast and accurate information to the petty cash manager. Besides that, the use of technology that is currently developing can save and provide data in real time to petty cash managers.This study aims to design a system that can assist in the management of petty cash funds which functions to carry out work activities very easily, such as recording cash flow transactions, submitting petty cash replenishment, and petty cash reports, all of which are made on a website with using the programming language PHP and MySQL as a database for its use.
FACTORS RELATED TO DEPRESSIVE SYMPTOMS IN OLDER ADULTS WITH DIABETES MELLITUS

Objective: to identify the factors related to depressive symptoms in older adults with Diabetes Mellitus. Method: a cross-sectional study with a quantitative approach conducted with 144 older adults registered in 72 Family Health units from the municipality of João Pessoa, Paraíba, Brazil. The data were collected from September to December 2019, using an instrument to obtain information referring to the sociodemographic and clinical profile and the Geriatric Depression Scale by means of descriptive and inferential statistics. Results: it was observed that 75.7% of the diabetic older adults did not present depressive symptoms. There was a significant association between depressive symptoms and the following variables: personal income (p=0.044), type of income (p=0.020), dyslipidemia (p=0.038), diabetes complications (p=0.045) and retinopathy (p=0.033). Conclusion: the social and health factors, as well as those related to diabetes, can exert negative influences on older adults' psychological state and favor the onset of depressive symptoms.
Representation and Construction of Discipline Knowledge Systems Based on Cognitive Sequence Relationship

For students, it’s an important but difficult thing to form a discipline knowledge system based on the sequence of cognition, and they would need teachers’ assistance for that. Therefore, how to arrange the scattered knowledge points in a sequence that conforms to the law of cognition, construct a complete discipline knowledge system, and help students attain, familiarize, absorb, and internalize the new knowledge in a scientific way are urgent issues to be solved for educationalists. To attempt to solve these questions, in a research background that the smart education has been applied and promoted widely, this paper took the finance discipline as an example to study the representation and construction of discipline knowledge system based on cognitive sequence. At first, this paper took a Back Propagation Neural Network (BPNN) based on complex rules as the Cognitive Sequence Relationship (CSR) construction algorithm for correcting contradictions in the CSR of knowledge points in the finance discipline knowledge system, gave the structure of the model for inferring the CSR of knowledge points in the finance discipline knowledge system, and adjusted the existing logical inference rules. Then, when building the CSR for the target discipline, this paper introduced a momentum factor σ into the network model to solve problems such as network oscillation and slow convergence. After that, the established finance discipline knowledge system was corrected to ensure that the old and new knowledge in the system could keep balance, and a fragment in the finance discipline knowledge dataset was introduced as an example. At last, the effectiveness of the proposed algorithm was verified by the experimental results.
Non-local polarization alignment and control in fibers using feedback from correlated measurements of entangled photons

Quantum measurements that use the entangled photons’ polarization to encode quantum information require calibration and alignment of the measurement bases between spatially separate observers. Because of the changing birefringence in optical fibers arising from temperature fluctuations or external mechanical vibrations, the polarization state at the end of a fiber channel is unpredictable and time-varying. Polarization tracking and stabilization methods originally developed for classical optical communications cannot be applied to polarization-entangled photons, where the separately detected photons are statistically unpolarized, yet quantum mechanically correlated. We report here a fast method for automatic alignment and dynamic tracking of the polarization measurement bases between spatially separated detectors. The system uses the Nelder-Mead simplex method to minimize the observed coincidence rate between non-locally measured entangled photon pairs, without relying on classical wavelength-multiplexed pilot tones or temporally interleaved polarized photons. Alignment and control is demonstrated in a 7.1 km deployed fiber loop as well as in a controlled drifting scenario.
Past, Present, and Future of TLT's Journey in Publishing

Presents the editorial for this issue of the publication.
A Hybrid Deep Neural Network Model for Photovoltaic Generation Power Prediction

This paper presents a hybrid deep neural network (DNN) model for predicting the power of a photovoltaic generation (PV) system. The proposed model consists of multilayer architecture by synthesizing a DNN model and a gated recurrent unit (GRU) model. This architecture enhances prediction accuracy by reflecting the nonlinearity and time-series characteristics of the PV power. The performance of the proposed model is verified by comparative simulation with the DNN model and the GRU model. As a simulation result, the proposed model improved the prediction accuracy by up to 98% compared to the DNN model. Therefore, the proposed model can accurately predict the PV power by reflecting the time-series characteristics.
ANALISIS SENTIMEN TWITTER UNTUK MENGETAHUI KESAN MASYARAKAT TENTANG PELAKSANAAN POMPROV JAWA TIMUR TAHUN 2022 DENGAN PERBANDINGAN METODE NAÏVE BAYES CLASSIFIER DAN DECISION TREE BERBASIS SMOTE

Sentiment analysis is a method used to understand, extract, and automatically process text data to get the sentiment contained in an opinion. Sentiment analysis will be used to process comments made by the community or supporters of each participant of POMPROV East Java 2022 through various media, including Twitter, regarding the progress or results of POMPROV East Java 2022. The number of comments, the authors use data mining methods and algorithms to process the comment data to get information about the POMPROV East Java 2022 event. The Naïve Bayes Classifier and Decision Tree classification algorithms are used as tools to classify comments expressed by users. Based on the results of experiments that have been carried out four times according to the number of data splits and twice based on the algorithm used, it can be concluded that the use of the SMOTE algorithm can increase the accuracy of the various data split compositions used. The best results of the Naïve Bayes Classifier method are found in the 7:3 data distribution which increases the accuracy by 14.52% and the Decision Tree method in the 9:1 data division increases the accuracy by 9.45%.
Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents

In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one of the main and guide agents, and these agents decide whether to select a feature. Main agents select the optimal features, and guide agents present the criteria for judging the main agents’ actions. After obtaining the main and guide rewards for the features selected by the agents, the main agent that behaves differently from the guide agent updates their Q-values by calculating the learning reward delivered to the main agents. The behavior comparison helps the main agent decide whether its own behavior is correct, without using other algorithms. After performing this process for each episode, the features are finally selected. The feature selection method proposed in this study uses multiple agents, reducing the number of actions each agent can perform and finding optimal features effectively and quickly. Finally, comparative experimental results on multiple datasets show that the proposed method can select effective features for classification and increase classification accuracy.
MOBILE WEB BASED SCHOOL INFORMATION SYSTEM GOVERNANCE

Schools are one of the basic needs of society in order to improve human resources through academic education and other supporting education. Through schools, people can study the development of education by utilizing the development of technology and information which is increasingly easy to obtain. Currently schools are trying to become institutions that are able to serve the community well, especially in terms of conveying information to the community. However, so far information is still done manually, such as pasting on announcement boards, circulars distributed to students. Along with the rapid development of technology and information, the researchers aim to create a mobile web-based school information system at MTS Ma'arif so that all information can be accessed easily. Researchers designed and realized a mobile web-based school information system using the PHP programming language and MySQL database. The use of the mobile web in competency development and school quality is the right thing because the mobile web is a very informative and dynamic medium to add insight in finding educational information. The implementation in this study can be accessed anytime and anywhere via the internet. The mobile web can make it easier for schools to convey information and promotional processes that have so far been done manually.
A Study on Remote Detection of Turkey Digital Identity Card Hologram Element

Technological advances and the pandemic have caused an explosion in demand for remote services. In critical processes such as banking, insurance and notary public, the service to be provided remotely has to be provided as quickly and safely as the service provided in presence. In such sensitive processes, the identity card authenticity detection must be done accurately and securely. One of the techniques used in accuracy detection is the use of mobile devices that support contactless chip technology. However, the number of mobile devices using this method is limited today. This situation hinders the effective and widespread use of remotely provided services and resources. Therefore, a different solution method was needed that would be an alternative to contactless chip technology, remove the obstacles to widespread use and reduce incidents such as counterfeiting. In this study, it was investigated whether the hologram, which is one of the security elements in the identity, can be used in determining the accuracy of Turkey's digital identity cards. For this purpose, a special function and program has been developed on the MATLAB application by using 2-D neighborhood methods to detect the crescent on the hologram. 227 digital ID cards were first evaluated on a mobile device over certain threshold values such as color level and similarity ratio. Then, each card used in the test was examined one by one with the naked eye. Approximately 99.56% similar results were obtained between the test findings made over the application and the findings obtained after the controls made with the naked eye. It has been concluded that the secure hologram image, one of the security elements on the digital ID card with this high success rate, can be used as computer aided in remote services. With this solution method, it has contributed to overcome an important obstacle in front of services that are thought to be provided remotely in many fields such as banks, notaries and education.
RE-EXAMINING PATIENT-CENTERED CARE THROUGH DESIGN PROCESS

Abstract Service design is the adoption of design process to healthcare and other service sectors. This was a transdisciplinary research project in which investigators were faculty members from Graphic Design and Health Administration. In addition, two student research assistants were recruited from undergraduate Graphic Design and Health Science majors. The objective of service design is to involve consumers, designers, and businesspeople in an integrative process, which can be applied to post-acute rehabilitation hospital settings focusing specifically on the experience of those who are 65 and older. The aim of this pilot study was to explore “designing with people rather than just for them”, an approach to improve the patient experience. Our first step involved on-site interviews. The patient narratives raised challenges and positive aspects of their interactions with the facility. On our initial site visit, we interviewed five members of clinicians and administrative staff. During the two follow-up visits, our student research assistants interviewed seven patients. Based on our staff member interview findings, we developed a revised set of questions for patients. The questionnaire was divided into three sections related to appointments: pre-arrival, during the visit, and after their appointments. Interview results were summarized in a visual data format and collaborative recommendations were made during the final presentation such as interior layout, wayfinding, online portal and their functionalities. Our findings also confirmed that the interior signage created confusion, promoting frequent questions to staff. These results will engage stakeholders and contribute to a co-designing process that will ultimately improve the patient journey.
Pengaruh Sikap Pada Media Pembelajaran Daring dan Etos Kerja Terhadap Kinerja

This study aims to determine the effect of: (1) attitudes towards online learning media technology on the performance of private high school teachers in Metro City, (2) work ethic on the performance of private high school teachers in Metro City who teach online during the covid-19 pandemic. This research is a causal comparative research with a quantitative approach. The population of this research are teachers who work in private high schools in Metro City. The samples taken in this study were four private high schools located in Metro City, totaling 113 people. Data was collected by using a questionnaire method which has been tested for validity and reliability. The data analysis technique used is multiple regression. The results showed that: (1) attitudes to online learning media technology had a positive and significant effect on teacher performance at private high schools in Metro City. (2) work ethic has a positive effect on the performance of private high school teachers in Metro City.
A World of Hurt

Bad actors, no, not the kind that permeate Hollywood cinema. I’m referring to the ones that actively seek to invade your computing systems and network infrastructure in the hopes of breaching them to obtain sensitive and critical data. Another such term is threat actor. Both are used interchangeably and are synonymous with the more globally recognized term “hacker.” Commonly known to the general masses as describing someone that steals something of value by attacking computer systems.
DIGITAL POSSIBILITIES OF THE ATMOSPHERE: METAVERSE AND HALLUCINATORY IMAGE

Considering the propositions of the virtual universe with its short history, there are digital twins and various economic investments. While the Metaverse points out a novel universe, it is able to promise much more than producing a copy of the self and imitation of conventional economic interactions. To reveal these potentials, it is necessary to determine the areas that must be meticulously focused on. Although Metaverse has permeated daily life dialogues, studies in the academic field are limited. Likewise, research about its architecture and space needs to be developed in this area. No matter how far the new universe propositions go, they still stick with the quantitative values of the physical world. This issue obstructs the creation of its own reality. However, the universe's own digitalized digitalised structure does not require that the imagination of the spaces stuck with a quantitative basis. To avoid quantitative and reductive attitudes, focusing on the atmosphere of this universe may be a solution. The study aims to collide the possibilities of the Metaverse and the architectural atmosphere discussions to make an alternative reading of the Metaverse. Developing theories about the atmosphere of spaces and conducting atmospheric studies about Metaverse allow us to develop meta-experiences of the Metaverse. Focusing on the architectural atmosphere, immediate appreciation, ecstatic being and hallucinatory image will deepen the definition of Metaverse and provide a multi-layered experience. The image of the atmosphere and ecstatic being is associated with a ‘hallucinatory image'. The hallucinatory image has a structure that does not narrow down its references to the physical world. With this aspect, it may provide forms of alternative perceptions specific to the Metaverse. The hallucinatory image, parallel with the sensation of an ecstatic being, stimulates us to sense the atmosphere produced by the Metaverse.
THE ROLE AND PLACE OF EDUCATION IN IMPROVING THE QUALITY OF LIFE

The problem of education quality, despite numerous scientific and practical studies, continues to be topical. For Ukrainian society on the way of its innovative development it has become even more acute. In the modern world, improving the quality of life is inextricably linked to the development of education, which is a prerequisite for the country's competitiveness in the global division of labor.