bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of digital approach in education and psychology among selected users in Ukraine
Authors: Zhylin Mykhailo , Tormanova Anel , Poplavska Yeva , Chernov Mykola M. , Druz Oleh
Published: February 2024

The purpose of the article is to study the digital approach in pedagogy and psychology of the future, to characterise the main trends and globalisation challenges that will accompany this process in the future. The scientific research methods used for the study are survey (with a coverage of 300 people), analysis, synthesis. Descriptive statistics, correlation and thematic analysis were used to summarise the quantitative results. The results of the study indicate that significant transformations are observed at the level of interaction between mentors and students, in the process of shaping the content of education and using tools for knowledge transfer. Until now, the focus of digital technologies has been on the interaction between teachers and students, but in the modern context, this approach has evolved into comprehensive horizontal communication within the educational community. The results of the study confirm that the use of digital tools is a productive and useful measure, which is recognised by most respondents. At the same time, a significant number of respondents use digital tools on a regular basis, even daily or several times a week. This indicates a high level of integration of digital technologies into the work of teachers and psychologists in general. It is important to note that, unlike European and American colleagues who actively introduce elements of artificial intelligence into the educational process and activities of psychologists, Ukrainian respondents mainly focus on the use of online platforms such as Zoom, Microsoft Teams, Google Meet, Moodle, Google Classroom, etc. This is in line with current trends in assessing the impact of digitalisation on the professional activities of teachers and psychologists. The conclusions indicate that it is equally important to further develop research in the direction of using foreign experience that actively implements the capabilities of artificial intelligence.
Pathophysiology of autism spectrum disorders and the gut micro biome: A systematic review
Authors: Yogitha P. S. , Suchitra M. R. , Govindaraju P. , Meerasa Semmal Syed , Jaiganesh K. , Parthasarathy S.
Published: February 2024

Investigating any possible connections between the two and comprehending any potential processes underlying these connections is the main objective of research on the interaction among autism spectrum disorders (ASD) and guts micro biota. In the world, 1 in 160 persons suffers from ASD, a neuro improvement provision. It is increasingly recognized that environmental variables can contribute to the beginning of ASD, even though it has a substantial genetic component. The essential part of the gut micro biota in ASD is extensively researched because GI symptoms are 4 times more general in ASD patients. ASD patients' abnormal synthesis of bacterial metabolites has been shown to go hand in hand with disordered microbiota composition. The physiological processes that gut microbiota may perturb and so contribute to the path physiology of ASD are now being investigated in clinical research as well as preclinical investigations carried out in rats. The early findings point to the immune system, stomach tryptophan metabolism, and the central nervous system (CNS) as potential contributors. Several clinical studies include the use of antibiotics and probiotic among greater counts of studies involving a transplantation of fecal microbiota, showed behavioral improvements. This study's findings highlight the importance of considering the involvement of the physiological course of ASD is influenced by the gut microbiome, even if our understanding of this relationship is still in its infancy.
Study on frequency and risk factors for secondary infections among COVID-19 individuals
Authors: Pethe Vrajesh , Nidode Pallavi , Hariharan A. S. , Abraham Feba , John Benson K. , Revathi R.
Published: February 2024

Secondary Infections (SIs) refer to infections that occur in addition to the initial Corona Virus Disease 2019 (COVID-19) infection. These SI can be caused by bacteria, fungi, or other viruses and they can complicate the clinical course of the disease, leading to worse outcomes. The purpose of the study is to describe the incidence as well as danger factors for SIs in people with COVID-19 diagnoses. This statement describes the methodology used in an ensemble study of COVID-19 individuals who were hospitalized at Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), from February to April 2020, San Raffaele Hospital. In the study's 731 individuals, 68 had SIs, which resulted in an overall 28-day cumulative frequency and risk factors. Infections with gram-positive bacteria, particularly coagulase-negative staphylococcus have been accountable for most bloodstream infections (BSIs), but gram-negative pathogens, such Acinetobacter baumannii and Escherichia coli, were less frequent. Eleven people were identified in the investigation as possibly suffering from significant aspergillosis. Following the very first 48 hours following residential therapy, the individual was brought to the Intensive-Care Unit (ICU) due to an insufficient initial lymphocytes level. The finding that early need for ICU has been connected to a higher chance of developing infections in the future highlights the importance of prompt and appropriate treatment for individuals with serious COVID-19.
Determinants influencing intraoperative neuromonitoring quality during cervical spine treatment: A systematic review
Authors: Borges Jonathan , Panda Siddharth , Jayaraman Gobinath , Codru Ioana Roxana , Sirisha C. , Andhale Atul
Published: February 2024

The functional integrity of the nervous system is monitored using a method known as Intraoperative Neuromonitoring (IONM) during surgical operations. Utilizing devices positioned on the patient's skin or within their muscles, IONM normally entails monitoring the electrical activity of nerves or muscles. The surgical technique used during the cervical spine treatment can influence the quality of IONM. Surgeons who are experienced in IONM and have a good understanding of the anatomy and physiology of the cervical spine are more likely to obtain accurate and reliable IONM signals. The signals are transmitted to a monitoring system that provides real-time feedback to the surgical team. This feedback can alert the team to potential nerve damage, allowing them to make adjustments to the surgical technique or take other steps to protect the nerves. Patient factors such as age, medical history, and comorbidities can influence the quality of IONM. For instance, patients with pre-existing neurological conditions or those who are elderly may have a higher risk of neurological damage during the surgery, which can affect the quality of IONM. The use of IONM for Anterior Cervical Spinal Surgery (ACSS) has been widely researched across a number of medical reference sources. Research on behind cervical surgery were neglected to take into consideration.
A systematic assessment on the influence of probiotics on patients with Inflammatory Bowel Disorder
Authors: Upadhye Vijay J. , Ballal Suhas , Singh Sadhna , Rani Rekha
Published: February 2024

Inflammatory bowel disease (IBD) causes persistent mucosal inflammation, and mounting evidence points to the intestinal microbiota's critical involvement in this process. New molecular techniques have also helped to identify dysbiosis in these individuals. Many potential probiotic product action mechanisms counteract IBD etiological causes. The study aimed to explain the benefits of probiotics for IBD and thoroughly evaluate current trials using probiotics to treat IBD in grownups. A specific search was done using specified keywords on October 1, 2011, using the supplied date range. Only English-language, full-text articles on clinical results for adult patients were addressed. Based on disease type and disease activity, the 41 eligible studies were classified. Pooled odds ratios were calculated only when there were many available randomized controlled trials per probiotic for a particular patient group. According to well-designed randomized controlled studies, few probiotics are effective in treating IBD at this time. It was only feasible to conduct meta-analyses on a limited number of studies, which yielded an overall risk ratio of 2.70 for inducing remission in active U.C. with Bifido fermented milk versus placebo or no adjuvant treatment. Very Specific Lactic Acid Bacteria (VSL#3) enables people to go into remission active U.C. compared to placebo. To support the favorable outcomes for inactive ulcerative colitis (U.C.), it is still a need to conduct better-conducted investigations in regard to the variety of drug VSL#3 in patients with both active and dormant U.C. U.C. based on intention-to-treat analyses by many independent research organizations. According to the existing data, probiotic usage in Crohn’s Disease (CD) has yet to be shown. The location and subtypes of certain diseases should be the focus of future research. Selecting probiotic strains for certain disease entities and illness sites will be easier with more knowledge of the mechanisms of probiotic strains and the etiology of IBD.
Prioritizing components of university brands by using the integrated Delphi and AHP methods
Authors: Huyen Nguyen Thi , Hai Hoang Van , Lich Hoang Khac , Tuan Pham Minh
Published: February 2024

Branding is a crucial strategy for universities to gain an advantage over their competitors in the face of increased competition in higher education, especially in admission activities. This study aimed to identify and prioritize the university brand components that influence the attraction of prospective students. In this study, the Delphi method is combined with the analytic hierarchy process (AHP) to identify eight factors, comprising 31 subfactors that constitute the university's brand. These factors and subfactors are then prioritized in attracting prospective students. The data were gathered through four rounds of interviews with experts who were leaders or individuals with extensive experience in communication or enrollment at member universities of Vietnam National University, Hanoi. The research findings indicate that the five factors considered to be the highest priority in attracting potential learners are the university's training program, reputation, human resources, financial policies, and communication activities. Additionally, this study presents the priority rankings of 31 subfactors.
Restoration of court services as a configuration for legal development with legal certainty, justice and benefits
Authors: Wantu Fence M. , Puluhulawa Jufryanto , Swarianata Vifi , Djafar Lucyane , Sunarti Sri , Hayatulah Getah Ester
Published: February 2024

This study seeks to evaluate the contribution of reestablished court services in attaining legal certainty, justice, and societal benefit, while examining the framework of restored court services as a mechanism for fostering comprehensive judicial advancement. Employing both a statutory and theoretical perspective, this study adopts a normative legal research approach. The findings illustrate that the objective of judicial reform is to safeguard both individual and collective rights, contributing to the realization of a fairer and more equitable society. The progression of legal principles is achieved through various reforms, including those within the judicial sector, taking into account the diverse array of existing legal frameworks and the influence of globalization.
The adaptation of glucose levels to high-intensity interval training and moderate-intensity training methods in obese male adolescents
Authors: Sabarini Sri Santoso , Riyadi Slamet , Kristiyanto Agus , Liskustyawati Hanik , Prasetyo Yona Bayu , Salimi Moh
Published: February 2024

This study aimed to show the effectiveness of high-intensity training (HIIT) and moderate-intensity training (MIT) on glucose levels in obese adolescents. This research was a true experimental study with a pretest-posttest control group design. Treatment in the form of HIIT and MIT was given to the sample for four weeks. While the control group was not given any treatment. The Glucose Oxsidase – Peroxidase Aminoantypirin (GOD PAP) reagent tested glucose levels using a venous sugar blood test. The treatment was conducted at the Bung Hatta Ngawi Sports Center, East Java, Indonesia. This study used 45 obese male adolescents with type 1 body mass index of 25-29 kg/m2. Forty-five samples were divided into three groups, including 15 MIT groups, 15 HIIT groups, and 15 controls. The data analysis test used ANOVA using SPSS V.26 with a significance of 0.05. The results showed that there was a significant difference in glucose levels before and after the treatment (p=0.000). HIIT was better than MIT, with a pre and post-test difference of 33.35 (HIIT) and 23.20 (MIT) respectively. HIIT with a maximum intensity of 80% was the right choice as an alternative treatment for obesity during a pandemic. The results of the study can be concluded that HIIT was more effective in influencing glucose levels in obese adolescents than MIT.
Effect of partial replacement of aggregate with oil palm shell on compressive and flexural strength of fiber concrete
Authors: Zaki Ahmad , Yadi Seplika , Khoirullianum Eki , Suganda Rikki , Wibisono Candra Agung
Published: February 2024

Considerable innovation has been applied to concrete material to achieve specific properties such as density, strength, environmental sustainability, cost-effectiveness, among others. This study focused on the replacement of a portion of the aggregate with oil palm shell (OPS) to utilize previously underutilized waste. Concrete containing OPS typically exhibits reduced compressive strength compared to standard concrete. To enhance the compressive and flexural strength of OPS-infused concrete, the introduction of fibers was explored as an innovative measure. A particular focus was placed on using fibers from discarded masks due to the Covid-19 outbreak in Indonesia and globally. The non-biodegradable nature of polypropylene fibers in these masks necessitates further measures to minimize waste. Different proportions of OPS were incorporated into the concrete mix: 0%, 25%, 50%, 75%, and 100%, with each mix incorporating 0.20% mask fiber and 0.25% superplasticizer. Compressive strength testing employed cylindrical specimens with a diameter of 75 mm and a height of 150 mm, while flexural strength was assessed using beam specimens measuring 100 x 100 x 500 mm. The baseline compressive strength for concrete without OPS measured 17.76 MPa. The results of flexural strength testing revealed the highest value of 1.67 MPa for the 0% OPS mix and the lowest, 0.49 MPa, for the 100% OPS mix. Statistical analysis via analysis of variance (ANOVA) highlighted a notably significant correlation between the treatment combinations involving compressive strength and the replacement of OPS as coarse aggregate.
Responses of Selenastrum capricornutum, Eisenia fetida, Brassica nigra and Sorghum bicolor to sent phone battery toxicity
Authors: Ubani Onyedikachi , Uba Bright Obidinma , Modise Sekomeng Johannes , Okoye Ebele Linda , Omeazu Sylvia C. , Ndibe Chiamaka R. , Umeh Odera Richard , Dokubo Chinweike Unoma
Published: February 2024

Indiscriminate release of spent phone battery in the environment poses a danger to human and animal life. Assessment of their toxicity using bioassays, therefore, becomes imperative. In this study, the Organization for Economic Co-Operation and Development (OECD) standardized toxicity tests exhibited a high degree of sensitivity in evaluating various endpoints across different trophic levels and taxonomic groups. These tests encompass a range of parameters, including mortality rate (h), growth inhibition (ECx), germination, and root length (ECx), providing a comprehensive assessment of spent phone battery toxicity. The responses of Selenastrum capricornutum, Eisenia fetida, Brassica nigra and Sorghum bicolor to spent phone battery toxicity were investigated. Standard methods of analysis for heavy metal, microalgal toxicity, earthworm mortality and phytotoxicity were adopted. S. capricornutum, B. nigra and S. bicolor seeds were exposed for 72 h and 5 d at concentrations ranging from 0 to 100 mg/L or mg/kg while Eisenia fetida exposed for 48 h and 14 d at concentrations ranging from 0 mg/L to 2.10 LC50 mg/kg for Gionee phone battery and 0 mg/L to 3.50 LC50 mg/kg for Lenovo battery samples. The result showed that all the spent phone battery samples (Gionee and Lenovo) had WHO and FEPA exceeded the limits of the heavy metals analyzed. The order of toxicity to S. capricornutum growth is Lenovo > Gionee > positive control K2Cr2O7 after 72 h exposure. On E. fetida, Gionee > Lenovo after 48 h and 14th-day treatments while boric acid > Gionee > Lenovo as well as boric acid > Lenovo > Gionee were observed on B. nigra and S. bicolor, respectively after 5 d exposure. The responses of the model organisms in this study necessitate the establishment of stringent implemental management measures by government and environmental policymakers to effectively address the problems and challenges associated with e-waste.
Strategies for developing critical thinking and problem-based learning in the modern educational environment
Authors: Hutsalo Liudmyla , Skliar Iryna , Abrosimov Andrii , Kharchenko Nataliia , Ordanovska Oleksandra
Published: February 2024

Ensuring the development of critical thinking stands as an essential factor in shaping students’ professional and educational growth, fostering improved learning quality, better assimilation of educational material, and the application of knowledge in practical settings. Within the research framework, a significant focus lies on formulating strategies for nurturing critical thinking. In the realm of pedagogical activities, this necessitates preparing, planning, and adapting strategies in line with the specific requirements of the educational audience. The primary objective of this academic paper is to explore current strategies, particularly those widely employed in advanced countries, aimed at enhancing students’ cognitive and analytical capacities. An integral part of this exploration involves analyzing the utilization of the problem-based learning method as a catalyst for achieving heightened levels of critical thinking and analytical agility. This scientific article delineates the core theoretical components of the critical thinking concept, revealing diverse approaches to critical thinking strategies. Furthermore, it offers recommendations on integrating these strategies into the educational process, aligning them with established pedagogical methodologies. The investigation encompasses an examination of the practices in developed countries that stimulate critical thinking and the means employed to achieve this objective. The research findings underscore the imperative nature of fostering students’ critical thinking within the educational environment, especially considering the escalating demand for technological advancements. Drawing upon a theoretical exploration of contemporary scholars and practical accomplishments of educational institutions, this academic paper aims to ensure and enhance the quality of critical thinking. Consequently, these findings serve as a foundational resource for devising future strategies, illustrating effective methods for cultivating students’ cognitive capabilities.
Controlling-based organizational and economic mechanism of enterprise activity planning
Authors: Korbutiak Alina , Maslak Nataliia , Briukhovetska Iryna , Skornyakova Yuliya , Lyzak Mykhailo
Published: February 2024

In this article, the authors prove how introducing a control system for enterprises will, firstly, increase the level of business controllability and reduce the time for making managerial decisions. Secondly, it will help to control the company's assets and manage costs more effectively. Thirdly, it will significantly increase the profitability of joint-stock companies and ensure risk control and risk mitigation to increase the investment attractiveness of the business. Due to the variety of external and internal factors influencing the organization, there cannot be a one-size-fits-all recommendation for establishing a controlling function within a company. Empirical research shows that the most important influencing factors in controlling an organization are the size of the company and the dynamics of changes in the external business environment. In small enterprises, the chief accountant typically performs the controlling function, whose responsibilities include analytical accounting and budgeting. In larger enterprises, specialized departments are created with various tasks related to coordinating management processes and control. The relationship between control functions and environmental dynamics is quite interesting. In companies operating in a stable environment, the controller is seen as a recorder. In a limited variability of the external environment, the controller performs the role of a navigator, providing the company's departments with the most rational planning and control tools. In a turbulent environment, the number of problems that need to be addressed increases significantly. In such a situation, the controller emerges as an innovator who directly participates in problem-solving. In essence, controlling does not necessarily require a separate controller position. Instead, it implies the presence of specific tasks that the company's executives or management can perform. Initially, it is necessary to determine whether the controlling functions can be distributed among existing departments or if creating an independent controlling department is better.
Enigmatic Totems: Exploring the Intersection of Art and Belief
Authors: Yan Zhilong , Zhang Aixin
Published: February 2024

This innovative study ventures into the less-trodden domain of mysticism studies, unveiling the complex interplay between totemic mysticism and distinctive spiritual phenomena. Moving away from the conventional confines of Abrahamic religious interpretations, it boldly questions established views that have either marginalized or misinterpreted these spiritual experiences. Through a comprehensive approach that blends insights from religious studies, anthropology, and psychoanalysis, the research embarks on a thorough examination of scholarly literature, indigenous narratives, and historical documentation. The conclusions drawn challenge the outdated notion of totemic mysticism as merely a 'primitive' belief system, showcasing it instead as a vital framework for understanding cognitive and emotional experiences. The study reveals the profound connection between totemic symbols and extraordinary spiritual occurrences, highlighting their capacity for spiritual transformation. By shedding new light on the significance of totemic symbols in cognitive and emotional realms, this research prompts a reconsideration of the role of unique spiritual experiences in mysticism. Its groundbreaking insights contribute significantly to the discourse, echoing the principles of postcolonial, postorientalist, and posthumanist thought.
Legal Issues in Publicism by Seidazim Kadyrbai
Authors:   M. Narikbayev KAZGUU University, Sailaukyzy A.
Published: February 2024

The article examines the legacy of Seydazim Kadyrbai, a prominent figure of Alash, an expert in the field of law, from the prism of legal journalism. For the first time, the interpretation of legal acts in the Kazakh language and ways of promoting them to the people, which are the result of international legal journalism, will be assessed. The personality of Seydazim Kadyrbay is distinguished in the works of Z. Togan published in Istanbul, who talked about the activities of the publicist, jurist, whose life and work are still not fully explored. His role and activities in the Alash national liberation movement are determined from a scientific point of view. The publicist’s articles are described and their contents are considered. The results of law-making works of Seidazim Kulmagambetuly, who was one of the founders of legal vocabulary, and his work on formation of branch journalism on specific examples are analyzed. Articles published in the press of the time are considered from the perspective of the potential of industry journalism, that is, legal journalism
Radio on the Internet: state and prospects of development
Authors:   M. Kozybayev North Kazakhstan University, Morozova T. A. , Pritolyuk P. P. ,   M. Kozybayev North Kazakhstan University, Saurbaeva A. Zh. ,   M. Kozybayev North Kazakhstan University, Makarova O. V. ,   Tyumen State Medical University
Published: February 2024

This article discusses the main aspects of the functioning of Internet radio stations, analyzes the current content of these media, and outlines the prospects for the development of this broadcasting format. The purpose of the work is to identify the features of modern online formats in the field of mass communications, to describe the content and functional aspects of the development of online radio. Research objectives: to study the historical prerequisites for the appearance of radio; to trace the evolution in terms of the content of this type of media (ideological, musical, advertising topics); to identify the differences between official radio and commercial and «‘pirate»’, to study the features of their functioning that contributed to the formation of network radio; to describe the mechanisms inherent in Internet radio (interactivity, podcasting, streaming, creativity); to present a comparative aspect of modern radio formats (MP3, online radio, FM). Based on the comparative analysis conducted by criteria such as: the nature of the audience (its age, number of listeners), musical preferences, perception methods, additional user capabilities, the authors concluded that online radio has certain features: more individualized, focused on its own (youth) audience, has online streaming.
Forecasting the Electricity Consumptions of PLN UP3 Cengkareng using Deep Learning
Authors: Dewi Novia , Riwurohi Jan Everhard
Published: February 2024

The consumption of electrical energy for the community every year has increased including the electricity consumption of PLN UP3 Cengkareng customers. Therefore, PLN UP3 Cengkareng must supply electricity to customers in all categories such as Social Category, Household Category, Business Category, Industry Category and Government Category. With customer needs that continue to increase, it is necessary to forecast future electricity needs, so that PLN UP3 Cengkareng can provide the required electrical power. For this reason, it is necessary to predict the electricity demand. This research was conducted to forecast the electricity demand of UP3 Cengkareng by using the Deep Learning Model Long Short-Term Memory (LSTM). The data set used in this study was taken from the PLN UP3 Cengkareng information system, for 10 years, the period from 2012 to 2021. The data used is divided into 2 categories, namely 70% training data and 30% testing data. The results obtained from this prediction are 96,689, with an average neuron value of 32 and an epoch value of 10.
Implementation of Data Mining to Predict Student Study Period with Decision Tree Algorithm (C4.5)
Authors: Putri Kirana Alyssa , Febriawan Dimas , Hasan Firman Noor
Published: February 2024

Graduating on time is what every student wants to accomplish in college. Students of Prof. Dr. Hamka Muhammadiyah University are one of those who have this dream. Based on 2020 graduates data from the Tracer Study, 60% said the university had a high enough impact  on improving competence.  This data indicates that university needs to evaluate improvement of academic quality. Often, students have difficulty finding information about important factors that support achieving timely graduation. A prediction analysis is needed to provide information about the student's graduation study period. For this analysis, data mining is implemented using the classification function of the decision tree (C4.5) algorithm with RapidMiner tools. The methodology for implementing data mining follows the stages of Knowledge Discovery In Database (KDD), beginning with data collection, preprocessing, transformation, data mining, and evaluation. The research findings consist of visualization and decision tree rules that reveal GPA as the most influential factor in determining a student's study period.There is other information, namely, students graduated on time (less than equal to 4 years) amounted to 170 or 54.5% and students did not graduate on time (more than 4 years) amounted to 142 or 45.6%. Testing the performance of decision tree (C4.5) utilizing confusion matrix through RapidMiner tools, resulted in accuracy reaching 83.87%, with precision of 87.50% and recall of 91.18%. Provides evidence that the decision tree algorithm (C4.5) has optimal performance to provide valuable information about predicting student graduation in order to increase student enrollment with the right study period.
Sentiment Analysis of Society Towards the Child-free Phenomenon (Life Without Children) on Twitter Using Naïve Bayes Algorithm
Authors: Nurhaliza Siti , Febriawan Dimas , Hasan Firman Noor
Published: February 2024

The difference in societal perspective regarding personal well-being and understanding life choices is genuinely diverse. Lately, there is a prevalent thought where individuals believe that personal well-being can be achieved by choosing to live without children. Most of them prefer to prioritize their careers, education, or other activities that they believe can bring greater happiness and well-being to their lives. This topic has become a frequently discussed subject in almost every region of Indonesia, especially in urban areas. Not only facing negative stigma, the choice to live a life without children in Indonesia also carries positive connotations. Views on child-free in Indonesia are highly diverse, considering the many differences in social environments and each individual’s personal experiences. In this research, the Naïve Bayes algorithm is used as a sentiment classifier in the form of textual data collected through Twitter using the Rapid Miner. The data collection period spanned from May 3rd to May 10th, 2023. The research aims to analyze and present data regarding public sentiment towards the child-free phenomenon in Indonesia. The results of this research reveal the presence of 320 positive sentiments and 180 negative sentiments, with the accuracy value of the Naïve Bayes algorithm in conducting sentiment analysis on the child-free phenomenon reached 95.00%.
Impact of The Covid-19 Pandemic on Student Learning Styles: Naïve Bayes and Decision Tree Classification in Education
Authors: Kurniawan Zaqi , Tiaharyadini Rizka
Published: February 2024

The Covid-19 pandemic significantly changed education with social distancing and changes in the learning environment. In this study, one strong reason for the significance of the research is the urgency of changes in students' learning styles during the Covid-19 pandemic. Investigating differences in learning styles before and during the pandemic not only provides deep insight into students' adaptation to these changes, but also provides a foundation for the development of more inclusive and adaptive learning strategies in the future. This study aims to analyze the effect of the Covid-19 pandemic on students' learning styles in an educational context, focusing on the comparison of two classification methods, Naïve Bayes and Decision Tree. The study was conducted by collecting data on students' learning styles before and during the Covid-19 pandemic, using various relevant indicators. The data was obtained based on school survey results and online platforms, involving student characteristics and learning preferences. The data was then analyzed using Naïve Bayes and Decision Tree classification methods to identify significant changes in students' learning styles. The results showed the prediction accuracy of learning style changes with Naïve Bayes 68.75% and Decision Tree 87.50%. Recommendations for educators and education policy makers are to develop inclusive and adaptive learning strategies to meet diverse learning preferences.
Prediction of Grade Point Average (GPA) for Students at Informatics and Computer Engineering Education – Universitas Negeri Jakarta during Online Learning Using Naive Bayes Algorithm
Authors: Jannah Miftahul , Widodo Widodo , Widodo Widodo , Ajie Hamidillah , Ajie Hamidillah
Published: February 2024

The transition of learning models from face-to-face to online learning has had several impacts on student learning, reflected in their academic achievements. This study aims to determine the performance of the algorithm model using data mining classification techniques in predicting the Semester Grade Point Average (GPA) of Informatics and Computer Engineering Education students, at Universitas Negeri Jakarta during online learning. The prediction employed the Naive Bayes algorithm and the dataset obtained by collecting questionnaires from 2020 and 2021 batches. The total data obtained is 155 records with 13 (thirteen) attributes in the form of 1 (one) ID attribute including NIM, 11 (eleven) regular attributes including gender, college entrance, smartphone facilities, network conditions, preferred online applications, interest in learning, learning attitudes, learning creativity, parental support, study groups, and other activities outside of lectures during online learning, and 1 (one) the label attribute namely the Semester Grade Point Average for students in 3rd and 5th semester. The evaluation of this research involved the confusion matrix and the ROC (Receiver Operating Characteristic) curve. Confusion matrix resulted in an accuracy of 75%, precision of 28.33%, and recall of 26.43%. The ROC curve resulted in an AUC value of 0.679, indicating the category of poor classification. This study also applied the SMOTE data balancing technique, leading to a confusion matrix evaluation with 88.46% accuracy, 57.43% precision, and 52.14% recall. Furthermore, the ROC curve resulted in an AUC value of 0.809 which is categorized as a Good classification.
Classification of Student Grade Data Using the K-Means Clustering Method
Authors: Pamungkas Lanjar , Dewi Nur Aela , Putri Nessia Alfadila
Published: February 2024

The fourth industrial revolution has brought significant changes in various sectors, and education has been greatly affected by technological advances. Automation, particularly in data processing, has simplified educational processes, particularly in managing student grade data. However, the increasing volume of data poses challenges in efficient processing. This research explores the application of K-Means clustering, a data mining technique, to cluster student grade data. This research uses the Elbow Method to determine the optimal number of clusters. The dataset, sourced from the Information Systems Study Program at the Telkom Institute of Technology Purwokerto, includes attributes such as Credits Taken, GPA, Number of Ds, Number of Es, and Credits Not Taken. The results identified three groups of students: "High Achievers," "Average Performance," and "Needs Improvement." Recommendations include academic challenges for high performers, better learning methods for average performers, and remedial programs for those who need improvement. This research demonstrates the efficacy of K-Means clustering in improving educational strategies and support systems based on student characteristics.
Information Technology Security Audit at the YDSF National Zakat Institution Using the ISO 27001 Framework
Authors: Kamal Mustafa , Muhamad Muhamad , Sudianto Yupit , Fauzan Muhammad Arkan , Anggito Yuvens , Yasin Wahid , Hermawan Hendrik
Published: February 2024

In this era of cyber crimes, data security is an important aspect that needs special attention from an organization. This is reinforced by the ratification of Law Number 27 of 2022 on personal data security. The National Zakat Amil Institute (LAZNAS) Yayasan Dana Sosial al Falah (YDSF) as an institution with a legal entity and having data on more than 100,000 donors and partners, it also has an obligation to protect the personal data of donors and partners.  The focus of this research is to evaluate and audit information technology at the LAZNAS YDSF, especially regarding the security aspect of information technology. Evaluations and audits were carried out using the ISO 27001 framework as a standardization of information technology security at the international level. In this study, information technology audits were conducted using quantitative methods. The assessment was carried out on seven main clauses that are priorities for the LAZNAS YDSF based on management priorities: compliance clauses, risk management, policies, assets, physical and environmental management, access control, and incident management. Data were collected using a questionnaire distributed to all the LAZNAS YDSF managers and employees. Fifty-five respondents, ranging from management to staff, were involved in filling out the questionnaire, ranging from management to staff. Based on the recapitulation of answers from respondents, it was found that the risk management and access control clauses had good results, with scores of 2,727 and 2,796. The compliance and incident management clauses have scores of 2.381 and 2.53, respectively; therefore, improvement efforts need to be made. By evaluating and auditing information technology that refers to the ISO 27001 standard, it is hoped that LAZNAS YDSF can protect and maintain the confidentiality, integrity, and availability of information, and manage and control information security risks.
Students' Intentions to Use E-Learning during the Covid-19 Pandemic: An Extended Technological Accaptance Model (TAM) Approach
Authors: Purwandari Diah -
Published: February 2024

Online learning is a technology-based system, hence a process is required to ensure that students can embarace the technology, as the success or failure of a technology is determined by how well the user accepts it. Therefore, understanding the factors that drive the use of online learning is essential. This study aims to contribute to the literature on online learning in higher education during the COVID-19 epidemic by investigating the relationship between self-awareness and student acceptance of online learning. Several hypotheses were constructed using the TAM Model to investigate the relationship between the TAM construct and self-awareness as an antecedent. This study employed structural equation modeling (SEM-PLS) to investigate how 390 students in East Jakarta used online learning. The findings of this study revealed that self-awareness had a significant effect on perceived usefulness, perceived ease of use, and attitude, but it had no direct impact on the intention to continue using e-learning. Students' attitudes were considerably influenced by perceived usefulness and perceived ease of use. Perceived usefulness was the most influential factor on student attitudes, and attitude was a strong predictor of intention to continue utilizing online learning. The proposed model accurately predicted attitudes and intentions to continue to use e-learning.
Predicting the Number of Forest and Land Fire Hotspot Occurrences Using the ARIMA and SARIMA Methods
Authors: Santoso Angga Bayu , Widodo Tri
Published: February 2024

Forests are an area and part of the environmental cycle that is very important for survival because forests are areas on Earth that regulate the balance of the ecosystem. Forest fires rank second only to illegal logging in Indonesia's list of forest destruction causes. Forest fires can occur due to two factors, namely natural and human factors. Therefore, the hotspot factor that can cause forest fires is an independent variable. The population of hotspots in the West Kalimantan region in 2020 amounted to 1,416 spots. This study aims to predict the number of hotspot occurrences on land and forests that cause fires before the fires spread and are challenging to overcome or extinguish. The method to indicate the number of hotspot occurrences uses the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) methods. Modeling ARIMA (0,1,1) and SARIMA (0,1,1) (2,2,1)12 obtained Root Mean Square Error (RMSE) evaluation results for ARIMA of 6.61 while SARIMA of 7.61. The ARIMA's Mean Squared Error (MSE) evaluation value is 43.70, and the SARIMA is 58.05. Based on these results, it can be concluded that the ARIMA model provides excellent and accurate performance in describing the trend of hotspot events that will occur in the future with a smaller RMSE value compared to SARIMA.
SPECIAL ECONOMIC ZONES MECHANISMS AND THEIR ROLE IN THE ECONOMIC DEVELOPMENT OF CENTRAL AND EASTERN EUROPE COUNTRIES (CASE OF POLAND)
Authors: Кузнєцова Наталія
Published: February 2024

Special Economic Zones (SEZs) are widely used in most developing countries and in many developed countries. The main goal of this study is to identify mechanisms of SEZs functioning and their role in the economic development of the countries of Central and Eastern Europe (based on the examples of Poland). As a result of the study presented in the article, the conclusions can be drawn that in the countries of Central and Eastern Europe SEZs are successfully used both as a tool of investment and industrial policy, and through the mechanisms of functioning of SEZs, the interests of private investors and national goals of economic development of the countries are actually merged. The formation of SEZs in Central and Eastern European countries is aimed at industrial development, in particular export production, involvement of advanced technologies and domestic R&D, development of innovative potential of the countries, employment generation, etc. SEZs in Poland serves as an effective tool for the investment policy and are actually part of a competitive package of measures that are used to attract foreign investors along with other forms of promotion of foreign investment. In the history of economic development of SEZs, especially in Central and Eastern Europe, a wealth of experience has been accumulated in attracting foreign investment, and its analysis and use can be useful in justifying the methods and organization of state investment policy in transition countries, including Ukraine.
ІНВЕСТИЦІЇ У ТЕХНІЧНИЙ ПОТЕНЦІАЛ ГОТЕЛЬНОГО ПІДПРИЄМСТВА
Authors: Січка Іван
Published: February 2024

У статті досліджено важливість інвестування у технології готельної індустрії. Зазначено, що автоматизація та інтеграція є ключовими факторами для успіху готелів. Окреслено ключові аспекти технологій у готельній індустрії, включаючи оптимізацію операцій, покращення досвіду гостей, ефективну комунікацію, управління доходами, стійкість та енергоефективність, маркетинг, аналіз даних. Акцентується увага на впливі мобільних технологій та "розумних" номерів на процеси реєстрації та перебування гостей в готелях. Виділяється зручність мобільних додатків для попередньої реєстрації та використання смартфонів як цифрових ключів. Розглянуто різні аспекти технологій у готельній індустрії, такі як голосові технології, чат-боти, міні-бари з підтримкою IoT та аналітика даних. Зазначається, що готелі інтегрують системи безпеки, такі як датчики руху, відеоспостереження та системи контролю доступу, для забезпечення безпеки гостей та майна. Розглянуто використання машинного навчання для виявлення шахрайства, що допомагає готелям аналізувати транзакції та запобігати можливим ризикам. Окреслено, що алгоритми машинного навчання допомагають посилити заходи безпеки та захистити гостей від ідентифікаційних та фінансових ризиків. Обґрунтовано, що внаслідок пандемії COVID-19 гості стали більше цінувати технології самообслуговування для мінімізації контактів з персоналом та іншими гостями.
ФОРМУВАННЯ ТВОРЧОЇ КОМПЕТЕНТНОСТІ МАЙБУТНЬОГО ФАХІВЦЯ З ДОШКІЛЬНОЇ ОСВІТИ ЗАСОБАМИ ПЕДАГОГІЧНИХ ЗАДАЧ
Authors: ЄМЧИК Олександра
Published: February 2024

Статтю присвячено розв’язанню проблеми формування творчої компетентності фахівців з дошкільної освіти, що сприятиме вдосконаленню професійної підготовки у магістратурі. Дослідження спрямоване на підвищення рівня творчого потенціалу магістра дошкільної освіти, котрий у майбутній діяльності визначає готовність до постійного самовдосконалення та творчий підхід до організації та здійснення педагогічної діяльності в умовах закладу дошкільної освіти. Узагальнюючи підходи науковців визначено поняття творчої компетентності фахівця дошкільної освіти, як інтегративної якості особистості, спрямованої на єдність мотивації до творчої педагогічної діяльності, готовності до вирішення задач, котрі виникають в освітньому процесі закладу дошкільної освіти, переосмислення педагогічного досвіду роботи з дітьми раннього і дошкільного віку з метою їх удосконалення та підвищення ефективності власної професійної діяльності. Одним із інтерактивних методів, котрі використовуються у педагогічному процесі вищої школи з метою розвитку творчих якостей фахівця визначено педагогічну задачу. Вона виступає одним із найефективніших засобів організації проблемно-пошукового навчання у процесі професійної підготовки, адже потребує лише мінімальних зусиль та затрат часу, проте за змістом нічим не поступається іншим методам. Узагальнено такі організаційно-педагогічні умови формування творчої компетентності фахівця з дошкільної освіти за допомогою педагогічних задач: науково-методичне забезпечення творчої діяльності здобувачів у процесі навчання, створення педагогом розвивального комфортного середовища для забезпечення ефективності процесу формування творчої компетентності, забезпечення досвіду практичної діяльності у сфері дошкільної освіти, стимулювання та активізація самостійної творчості здобувачів освіти. Основою забезпечення умови із наявності науково-методичного забезпечення творчої діяльності здобувачів у процесі навчання у контексті використання педагогічних задач розроблено навчально-методичний посібник «Педагогічна творчість та самоменеджмент організатора дошкільної освіти» та методичні рекомендації «Педагогічні задачі у творчості фахівця з дошкільної освіти».
First record of Oribatula variaporosa (Acari, Oribatida, Oribatulidae) from Ukraine
Authors: Hshtan H. H. , Hushtan K. V.
Published: February 2024

Oribatula variaporosa Iordansky, 1991 is recorded for the first time in Ukraine. A supplementary description of this species is presented, based on an adult collected from dry meadow steppe in Dudari village, Rzhyshchiv CATC, Kyiv region. A key to Oribatula mites of Ukraine was prepared.