Reviewerly/exHarmony huggingface dataset:
ANALISIS BIBLIOMETRIK TENTANG SANTRI DENGAN VOS VIEWER BERBASIS DATA SCOPUS

This study aims to analyze and explain the publication of articles with the theme of Santri research. Research analysis on students using VOSviewer through a bibliometric approach using article sources obtained from databases with publish or perish application support The word "santri" becomes a reference in the search process. We found 53 articles that are considered relevant. The research period used as indexing for Scopus documents is the last 10 years (2012–2022). The research results are focused on finding and analyzing terms related to students and other data. The keyword "santri" is associated with 5 clusters and 37 links, for a total link strength of 53. The findings of an analysis of the evolution of publications about Islamic boarding schools over the last ten years are still fluctuating, with the highest number of publications in 2019 being 16 articles, and as few as 0 articles in 2013 and 2015. Using VOSviewer, the researchers examined published articles about santri and their relationship to problem areas. This study can be a starting point for future research related to further research on santri and the development of the role and function of santri, as well as other topics related to santri.
Kepribadian Pustakawan yang Humanis dalam Meningkatkan Layanan Perpustakaan (Aktualisasi Diri) Di Perpustakaan Universitas 17 Agustus 1945 Semarang

The librarian profession is not only required to be proficient at work, but must be attractive in appearance, librarians face challenges and demands from net generation users. Being a professional librarian does not use the palms of the hands but it takes a lot of effort to achieve this, including the importance of social interaction in association to have a humanist face, which means that a librarian must be able to provide excellent service to users, so that librarians will gain the trust of their users. Librarians must also apply 3S etiquette (simple, harmonious, and polite) as well as to form a superior, inclusive, and humanist person who at least has POWER, namely, positive attitude, other people, words, expand, and realize. It is expected that librarians are able to maintain the stability of the quality of library services.
The Impact of Knowledge Management in Developing Administrative Creativity through the Role of Mediator for Information Technology: An Exploratory Study of the Opinions of a Sample of Administrative Leaders and Teachers of the Oil Training Institute / Bas

The subject of knowledge and its impact on managerial creativity is of particular importance to administrative researchers due to its great importance in today's business organizations that live in knowledge economies and an unstable competitive environment. This study is an attempt to test the effect of knowledge management as an independent variable in developing administrative creativity (the dependent variable), in addition to determining whether information technology has a mediating role in that relationship. A questionnaire was designed to collect the primary data, as (220) questionnaires were distributed, (212) questionnaires were retrieved, and (206) questionnaires were valid for statistical analysis. The research was based on the SPSS program.The study reached several results, the most important of which are:There is a significant and statistically significant effect of knowledge management in developing administrative creativity.There is a significant statistically significant effect of information technology on achieving administrative creativity.Information technology partially mediates the relationship between knowledge management and administrative creativity.Based on the results of the study, the researcher made a number of recommendations, the most important of which are:Working to support and disseminate knowledge at all levels of the Oil Training Institute / Basra.Attention to administrative creativity and its development and the need to pay attention to information technology because of its clear effects on the administrative creativity of organizations.Continuous updating of technology and taking advantage of the information revolution in the speed and accuracy of the required tasks.
SPREMNOST UČITELjA ZA IMPLEMENTACIJU STEM KONCEPTA OBRAZOVANjA

The paper emphasizes the importance of teacher’s readiness for the im- plementation of the STEM concept as one of the key barriers to its implementation. The need for additional professional engagement of teachers in familiarizing themselves with the concept itself to empower students for a cohesive understanding of STEM discipline content and the level of teacher competence in creating and using interdisciplinary STEM educational materials are some of the elements that underscore the importance of consid- ering the diffusion problem of the STEM concept as a pedagogical innovation. In order to investigate the level of teacher’s readiness for implementing the STEM concept in elemen- tary education in our region, an empirical study was conducted, within which a survey of 107 teachers from various regions of Serbia was carried out. Teachers’ attitudes were assessed using a scale previously validated by foreign authors, which exhibited the char- acteristics of a five-point Likert scale of attitudes. The nature of the relationship between teachers’ cognitive and affective readiness and their self-efficacy, and sociodemographic variables (gender, years of service, years of working in education) was examined as well. The results showed that teachers demonstrated readiness for implementing this approach in teaching and express a high degree of affective readiness, which is correlated with their level of cognitive readiness and level of self-efficacy.
Optimizing Convolutional Neural Networks Utilizing Tensor Decomposition Techniques for Large-Scale Image Recognition Tasks

Convolutional Neural Networks (CNNs) are integral to numerous applications in today's digital landscape. However, their computational demands often result in slow operation, especially when resources are constrained. This study introduces two tensor decomposition methods aimed at optimizing the performance of CNNs by minimizing the total number of operations and weights, while maintaining accuracy. The first method employs Canonical Polyadic (CP) decomposition to divide the convolutional layer into multiple rank 1 tensors. The second method uses Tucker decomposition to break down the convolutional layer into a compact core tensor and several matrices. The effectiveness of these methods was evaluated on widely-used convolutional architectures, VGG16 and LeNet, by substituting their convolutional layers with a series of decomposed layers, implemented using PyTorch and TensorLy. The CP decomposition method achieved a computational speed-up of 43% with a minimal accuracy reduction of less than 0.12%. Similarly, Tucker decomposition resulted in a 37% speed-up with an accuracy decrease of less than 0.16%. These findings suggest that the proposed tensor decomposition methods can significantly enhance the efficiency of CNNs without significantly impacting their performance.
Is Artificial Intelligence Intelligent Enough to Read Human Sentiment?

Sentiment analysis is the mining of text which extracts information from the source material and helps a business to understand the social sentiment of their service while monitoring online conversations. Sentiment analysis can apply in any social domain because opinions are central to human activities and prominent influencer of our behaviors. Our beliefs, perceptions of reality, and choices are conditioned by how others evaluate the world. Due to this, when humans need to make a decision, they often seek out the opinions of others. According to GlobalWebIndex, 54% of social media users use media reviews, and 71% are more likely to purchase services based on social media referrals. Therefore, Sentiment analysis is "opinion mining" because it's all about digging into the context of social posts to understand the opinions they reveal. Misleading information has a more substantial effect on society than before. Not only this, but cognitive bias is also systematic errors in thinking, usually inherited by cultural and personal experiences, that can lead to distortions of perceptions when making decisions. Consequently, sentiment analysis can provide you with a broader perspective prior to making a final decision. This research aims to use artificial intelligence techniques for an in-depth analysis of human sentiments. The use cases and dataset used for this research are: &#x0D; &#x0D; Stock Analysis using FinViz website&#x0D; Climate Change Analysis using Twitter &#x0D; Movie review using IMDB dataset&#x0D; &#x0D; I used NLTK, Vader and Logistic regression machine-learning models and received approx 80% accuracy which shows us it is very promising that Machine Learning can help understand human sentiments and facilitates informed decision-making.
Analyzing the Extent to Which School X Meets Sustainability Standards and Goals set by the School District

The intensifying consequences of global warming have recently led to an increase of sustainability assessment tools (SATs) and interest in sustainability testing within local communities, institutions, and schools. This paper analyzes whether School X meets the sustainability goals and standards set by the overarching School System XYZ, which oversees thirty-eight high schools including this one. In order to measure this, a case study methodology, in cooperation with the University of California San Bernardino’s High School Sustainability Assessment Questionnaire (HSSAQ), was used to determine whether the school is meeting requirements set by the county. Collection of data and completion of this survey by the researcher revealed that School X is meeting sustainability standards and goals set by School System XYZ to a small extent, as only about one third (1/3) of quantifiable questions in the HSSAQ were answered “yes,” meaning the school is meeting that specific sustainability standard. This data should enable School System XYZ to continue sustainability research in the future, specifically in secondary schools throughout the school system.
Smart Path Generation using Model Predictive Control

This paper presents an investigation into path generation techniques using Model Predictive Control (MPC) and Pure Pursuit algorithms, implemented and evaluated in a simulated environment using Python. The objective of the study was to compare the performance of these two approaches in terms of path tracking and obstacle avoidance. The research focused on the applicability of MPC and Pure Pursuit algorithms in autonomous navigation systems, with a specific emphasis on addressing the challenge of generating smooth and dynamically feasible paths while ensuring collision avoidance. The simulation environment provided a platform for conducting experiments, allowing for testing and analysis of the algorithms. The results of the study demonstrated that MPC successfully generated paths while effectively avoiding obstacles. The MPC algorithm exhibited robustness and adaptability to dynamically changing environments, allowing the autonomous agent to navigate through complex scenarios. However, the investigation also revealed a limitation with Pure Pursuit in terms of curvature volatility. The Pure Pursuit algorithm showed inconsistent performance due to abrupt changes in curvature, which impacted the smoothness and stability of path tracking. Overall, this research highlights the significance of selecting an appropriate path generation algorithm based on the specific requirements of the autonomous navigation system. The study serves as a foundation for future investigations and advancements in path planning and control techniques, enabling the development of more efficient and reliable autonomous systems.
Blockchain Based Decentralized Healthcare Network to Share Electronic Medical Records

Over 172 ransomware attacks on US healthcare organizations since 2016 have cost over $157 million total and disrupted care for over 70% of patients impacted, prompting healthcare CIOs to declare cyberattacks as one of the most devastating healthcare issues today. Furthermore, lack of interoperability of patient data between healthcare providers prevents patients from exploring care outside their provider’s network. Though hospitals utilize electronic health records (EHR), data formats remain fragmented and non-interoperable, leaving patients to be responsible for transporting their own data between providers or insurance plans. Permissioned blockchain technology can solve both these issues due to its inherent transparency, immutability and data sharing capabilities. Therefore, I developed a decentralized application called HyperEHRbase that would allow patients to control their own health records and share them with different healthcare providers. My application extends an open-source OpenEHR implementation called ehrbase. Unlike ehrbase, my application writes health records into a Hyperledger blockchain, not a centralized database. The blockchain network is designed to work as a decentralized healthcare network, allowing patients and healthcare providers to mutually exchange data. Patients can register to the healthcare network using their personal devices and voluntarily grant multiple healthcare providers access to their medical records. Doctors and other care providers can also register to the network and access information shared by patients. This system secures electronic healthcare records in an immutable blockchain and makes them interoperable using the OpenEHR standard. Patients will also have control over their data, which is a significant improvement over the current healthcare system.
Pengaruh Keterlibatan Orang Tua dalam Pengelolaan Waktu Belajar Siswa di Rumah terhadap Prestasi Akademis di Sekolah Dasar

This study aims to explore the influence of parental involvement in managing students' study time at home on their academic performance in Cingambul I Elementary School (SDN). Through a quantitative approach, data were collected using questionnaires distributed to parents or guardians and students' report card records. Data analysis indicated a significant relationship between the level of parental involvement and students' academic performance. Parents who were more involved tended to have children with higher academic achievement. The implications of this study include the need to develop learning strategies that actively involve parents, support parents in increasing their involvement, and the crucial role of policymakers in creating an inclusive and responsive educational environment. By strengthening collaboration between schools and families, it is hoped that a better learning environment can be created, motivating students and enhancing their academic performance. This conclusion makes a significant contribution to strengthening elementary education, with the hope that every child will have an equal opportunity to achieve academic success.
STEAM educational concept – manifest of technological transfer in education

This article provides an analysis of educational policy documents that highlight the ways of technology transfer in education and at the same time analyzes the potential of STEAM education to support and achieve technology transfer in instructional-educational processes. It examines teachers’ views on how technology transfer affects learning and teaching in STEAM education and highlights its relevance in today’s digital society.
The "Pedagogical Universe " at 20 years old. Journal of the pedagogical and psihological community in time

The text reveals certain considerations with reference to scientific publications, especially scientific journals in the field of educational sciences. In this context theretrospective of the evolution of the scientific journal of pedagogy and psychology “Pedagogical Universe”, successor of the scientific-methodical journal “Pedagogue”, and “The soviet pedagogue” is presented. Proposing to the general public the most relevant results of research in the field of educational theory and practice, these scientific journals have thus completed the field of educational sciences with valuable publications and expanded the area of interest for the educational space in the Republic of Moldova.
The congruence of the "ego "-graphy of professionalization teaching staff

The text visualizes an innovative concept in pedagogical sciences, namely that of the "ego "-graph of the professionalization of teaching staff. The author investigated the concept in a multi-level and multi-functional perspective, assigning it socio-professional, humanistic and cultural values and functions. The concept is contextualized in the process of professionalization of teaching staff and is focused on the process of developing initial and continuing training plans and programs.
MENDESAIN SISTEM PENANDA PADA PUSAT KEGIATAN BELAJAR MASYARAKAT (PKBM) NEGERI 17 SENEN RAYA

The Community Service activity entitled "Implementation of Signage System at the Community Learning Center (PKBM) Negeri 17 Senen Raya" located at Jl. Kramat Sentiong I Rt 006/ Rw 05, Kelurahan Kramat, Kecamatan Senen, Jakarta Pusat, is part of the tri-dharma activities of Higher Education Institutions. PKBM Negeri 17 Senen Raya serves as a learning center for economically disadvantaged individuals or those facing obstacles in attending formal education. It conducts non-formal learning activities to fulfill the educational levels of Elementary School, Junior High School, and Senior High School, through the learning process and examination of diploma modules for Package A (Elementary School), Package B (Junior High School), and Package C (Senior High School). PKBM Senen Raya is under the jurisdiction of PKBM Negeri 17 Tanjung Priok, located in North Jakarta. Based on observations and interviews with PKBM Senen Raya, it was found that one of the challenges faced by the institution is the absence of a signage system that identifies the location at the entrance and the identification of building signs indicating the learning center of PKBM Negeri 17 Senen Raya. This lack of information boards and socialization hinders the community's involvement and access to learning activities. The implementation of this Community Service activity is aligned with the field of Visual Communication Design, involving the design of a signage system for location and building identification where learning activities take place. The presence of these two signage systems is expected to support the dissemination of the education equality program at PKBM Negeri 17 Senen Raya, raise awareness among the local community about the importance of education, encourage anyone interested to participate as volunteer instructors or learners, and simultaneously support the government's education equality program for all segments of society.
Constructing a Semantic Data Model for the Field of Material Science through Ontology

This research presents a method for constructing a semantic data model for the field of material science based on ontology. The method involves designing the semantic data model and establishing mapping rules between the data model and the ontology. Data semantic analysis and annotation are carried out based on the semantic data model, supporting the integration and efficient retrieval of heterogeneous data in the material science field. Furthermore, the method utilizes the OWL-S technique to describe, issue, and acquire relevant data services, enabling higher-level service semantic synergy in the material science domain. The proposed method effectively enables semantic integration, intelligent inquiry, and personalized services for data in the material science field.
Class Brain Coprocessor based on Neuromorphic Circuit for Efficient Non-Formalization and Unstructured Information Processing

Class brain coprocessor is a type of coprocessor based on neuromorphic circuits that includes a memory module for storing training characteristics information, a processing module based on a hierarchical structure, and an encoder and decoder for input and output. This research proposes a memory module with a training characteristics storehouse and/or configurable training characteristics storehouse, and a processing module with a solidification functional network module and/or configurable functionality mixed-media network modules, which enhances the extended capability of the coprocessor. The proposed coprocessor employs distributed storage and concurrent collaborative processing, making it particularly suitable for handling non-formalization problems and unstructured information, as well as form problems and structured messages. The results show that this coprocessor significantly accelerates the speed of computers in processing class brain,informationificial intelligence, and reduces energy consumption while improving fault-tolerant ability, reducing programming complexity, and improving computing power.
Development of Kompa Media (IPA Smart Comics) on Energy Source Materials for Grade IV Elementary School Students

The objectives of this study are: (1) To develop Kompa (Komik Pintar IPA) media on energy source material for grade IV elementary school students; (2) To determine the feasibility of Kompa (Komik Pintar IPA) media on energy source materials for grade IV elementary school students. This research includes Research and Development (RnD) development research using the ADDIE development model. The subject of the study was a grade IV student of SD Muhammadiyah Argosari. Data collection techniques in the form of questionnaires, observations, documentation, and interviews are then analyzed using qualitative and quantitative data analysis. The results of this study are: (1) Kompa (Komik Pintar IPA) media has been successfully developed on energy source material for grade IV elementary school students; (2) The feasibility of Kompa media is evidenced by the results of the media expert validation assessment obtained a value of 89.77%. Expert assessment of the material by 90% with the category is very feasible. The linguist's assessment of 92.86% with the category is very decent. The assessment of learning experts was 86.11% with a very decent category. The teacher's assessment result of 80% with the category is very decent. The results of the small group trial were 92.92% and in the large group trial, a value of 93.24% was obtained, so that the science smart comic on the energy source material for grade IV elementary school was suitable for use in the learning process.
Efforts to Improve the Ability to determine the Things of Paragraphs through The Circ Learning Model in Class V Students of SD N Kembang putihan

The purpose of this study was to determine the increase in the ability to determine the main idea by using the CIRC learning model. The action hypothesis is that the CIRC learning model can improve the ability to determine the main idea of ​​a paragraph. This type of research is classroom action research. Data collection techniques using tests and observations. The research instrument is a test sheet and an observation sheet. The data analysis technique used is quantitative and qualitative. The results showed that the use of the CIRC learning model could improve the ability to determine the main idea of ​​a paragraph. This increase can be seen from the average in the first cycle of 60.52 and an increase in the second cycle of 88.23. The above results are reinforced by the results of observations of learning activities. The percentage in the first cycle was 64.9% in the sufficient category, and increased in the second cycle by 88.23 in the very good category.