bluuebunny/crossref_metadata_2025 huggingface dataset:
A TRANSFORMAÇÃO SOCIAL NA ERA DA GLOBALIZAÇÃO: DESIGUALDADES E MOVIMENTOS SOCIAIS NA SOCIEDADE MODERNA
Authors: Schneider Maikel , Prado André Luíz Fonseca , Rech Bruno , Luz Jeferson de Oliveira , Batista Nilson Guedes , Richter Aline Raquel , Da Costa Cristiane Turcato , Damke Nelson Davi , Cardoso Adriana , Maciel Rosiara Dutra
Published: November 2024

This work aims to analyze the social transformations occurring in modern society, with an emphasis on social inequalities and the role of social movements in the context of globalization. Initially, it addresses the formation of modern society through the theories of Karl Marx, Max Weber, and Émile Durkheim, understanding the historical processes that led to the constitution of complex societies. Next, it explores the concept of social stratification and the different forms of inequality that permeate social organization, grounded in Pierre Bourdieu’s contributions on social and cultural capital. The research also investigates the emergence of social movements as a response to oppression and inequalities, analyzing their dynamics and impacts in light of the theories of Charles Tilly and Alain Touraine. Finally, it discusses the phenomenon of globalization and its effects on contemporary social relations, considering the ideas of Anthony Giddens and Ulrich Beck on global interconnectedness and its impacts on identities, cultures, and economies. The methodology adopted is qualitative in nature, based on a critical literature review, aiming to correlate theoretical concepts with current social phenomena. The results point to the need to understand the complexity of social dynamics in the global era and recognize the importance of social movements in promoting change and combating persistent inequalities. It is concluded that sociology plays a fundamental role in the analysis and understanding of contemporary social phenomena, contributing to the construction of a more just and equitable society.
Optimizing Motorcycle Sales: Enhancing Customer Segmentation with K-Means Clustering and Data Mining Techniques
Authors: Fernando Luis , Fianty Melissa Indah
Published: November 2024

Information plays a crucial role in the sustainability of company operations. The development of information technology, especially in the industry 4.0 era, affects various fields including economics, social, and education. The company faces challenges in declining motorcycle sales due to intense competition and ineffective customer segmentation. To address these issues, this study proposes the use of the K-Means algorithm with Python tools for better customer segmentation. The study aims to identify diverse customer groups and tailor marketing strategies accordingly. By utilizing the Elbow method and Silhouette score, the analysis of customer data is simplified. This study also employs data mining techniques to uncover hidden patterns in motorcycle sales data, aiding companies in improving operational efficiency and decision-making.
Collaborative Filtering Recommendation System Using A Combination of Clustering and Association Rule Mining
Authors: Annisa Siti , Rini Dian Palupi , Abdiansah Abdiansah
Published: November 2024

A recommendation system helps collect and analyze user data to generate personalized recommendations for users. A recommendation system for movies has been implemented, considering the vast number of available films and the difficulty users face in finding movies that match their interests. One popular recommendation method is Collaborative Filtering (CF). Although widely applied, CF still has issues. Basic CF uses overlapping user data in evaluating items to calculate user similarity. This study aims to build a collaborative filtering recommendation system using clustering techniques to group users with similar interests into the same clusters. The next step in CF application is to gather recommendation candidate items by finding users with a high level of similarity to the target user. Subsequently, user pattern analysis is carried out by applying association rule mining to predict hidden correlations based on frequently watched items and the ratings given to those movies. This study uses rating data and movie data from the Movielens website. The evaluation of the recommendation results is measured using precision, recall, and f-measure. The evaluation results show that the proposed recommendation system achieves a hit rate of 95.08%, a precision of 81.49%, a recall of 98.06%, and an f-measure of 87.66%.
An Investigation of Environmental Factors that Influence Student's Decision to Study Information Technology: A Qualitative Approach
Authors: Piyose Xolisa Philip , Mutanga Murimo Bethel , Ndovela Sithembile Lydia
Published: November 2024

Selecting a career path is crucial for students' future success and job market readiness. This study underscores the need to align education with career goals for an easier transition from school to work. It highlights the importance of environmental factors, academic performance, and personal factors in influencing students' career decisions. While many studies focus on social and academic impacts, few explore the environmental aspects affecting the career choices of Information Technology (IT) students. This research aims to fill this gap by investigating these environmental influences using a qualitative approach, concentrating on comprehensive examinations through questionnaires and focus group discussions. The specific scientific research objectives are to identify and analyse the key environmental factors that influence IT students' career choices; and to understand how these factors interact with personal and academic considerations to shape career decisions. By exploring the effects of technological advancements, media trends, societal expectations, and access to IT resources, the study seeks to uncover the core substance of environmental influences on career orientation within the IT field. It involves a diverse student group from various educational and socio-economic backgrounds. The findings reveal a strong influence of technological advancements and media trends on students' perceptions of IT careers, showing a keen responsiveness to new technologies and media representations. In contrast, societal and cultural factors like family expectations and peer pressure have a lesser effect. The study emphasises the importance of resources like IT infrastructure and early technology exposure in career choices. It suggests that educational institutions and policymakers should consider these elements to develop effective strategies. Addressing societal norms, ensuring equal resource access, and improving information availability are key. Such measures can help prepare a skilled generation, contributing to the technological field and societal advancement.
Enhancing Sales Performance through ARIMA-Based Predictive Modeling: Insights and Applications Model
Authors: Hartanti Dwi , Permatasari Hanifah
Published: November 2024

Gociko Snack, a Micro, Small, and Medium Enterprise (MSME), often faces significant challenges in managing its inventory due to the unpredictable nature of market demand. Accurate sales forecasting is crucial for Gociko Snack to optimize stock levels, reduce storage costs, and avoid out-of-stock or overstock situations. Traditional methods of sales prediction are often unable to cope with the dynamic and complex market environment in which Gociko Snack operates. in solving the case This research uses the ARIMA (AutoRegressive Integrated Moving Average) model for forecasting and application modeling using the CodeIgniter framework in a structured Waterfall system development methodology. Through rigorous testing and evaluation, the Mean Absolute Percentage Error (MAPE) was set at 9.18, which shows the effectiveness of the application in predicting sales trends with a high success rate. This research contributes valuable knowledge and practical solutions to empower businesses to navigate and utilize data-driven decision making for long-term success and resilience.
Indonesian Health Question Multi-Class Classification Based on Deep Learning
Authors: Vihikan Wayan Oger , Trisna I Nyoman Prayana
Published: November 2024

The health online forum is commonly used by Indonesian to ask questions related to diseases. A well-known example, Alodokter, has hundreds of thousands of health questions which are assigned to certain topics. Building a model to classify questions into a topic is important for better organization and faster response by relevant health professionals. This research experimented on 20 deep learning methods from RNN, CNN, and IndoBERT with different configurations to see the performance of each model when classifying questions into six different most common diseases that cause death in Indonesia. The results show the majority of the model can outperform the SVM as baseline. Bidirectional RNN such BiLSTM and BiGRU combined with CNN show a good metric score even though a certain version of the IndoBERT model generally outperforms all the other models.
Barriers to Business Process Innovation in Public Service Organizations
Authors: Qiyamullaily Arista , Susanto Tony Dwi , Mahendrawathi ER
Published: November 2024

This study aims to identify the main barriers in implementing business process innovation in government organizations using the Systematic Literature Review (SLR) method. The barriers were categorized into four aspects: people, technology, structure, and process, in accordance with the Socio-Technical Theory approach. The results show that a lack of knowledge and training related to innovation, limited funding, and inadequate technological infrastructure are the dominant barriers. In addition, complex bureaucracy and lack of structured processes are also significant barriers. The research recommends a holistic approach that includes improved communication, training, technology investment, as well as bureaucratic reform to foster more effective innovation. The findings provide a basis for better policy-making and emphasize the importance of further research to understand and address barriers to innovation in different countries.
Classifying Legendary Pokémon with SF-Random Forest Algorithm
Authors: Prayoga Aji , Via Yisti Vita , Diyasa I Gede Susrama Mas
Published: November 2024

Here’s an improved version of the abstract with better articulation: Accurate classification of legendary Pokémon is essential due to their distinct characteristics compared to regular Pokémon, impacting various domains such as research, gaming, and strategy development. This study employs the SF-Random Forest algorithm, an advanced variant of Random Forest, designed to effectively handle data heterogeneity and complexity. The dataset comprises 800 Pokémon samples, including attributes like type, base stats (HP, Attack, Defense, etc.), and other relevant features. To address the inherent imbalance between legendary and non-legendary Pokémon, the data preprocessing phase includes outlier removal, handling of missing values, normalization through Min-Max Scaling, and class balancing using the SMOTE (Synthetic Minority Over-sampling Technique) method. The preprocessed data is then used to train the SF-Random Forest model, with performance evaluated using metrics such as accuracy, precision, recall, and F1-score. The results reveal that SF-Random Forest achieves perfect scores across all metrics, demonstrating 100% accuracy, precision, recall, and F1-score. This highlights the algorithm's superior ability to identify key features and manage data imbalance compared to traditional classification methods. The study underscores the efficiency and robustness of SF-Random Forest as a classification tool, paving the way for the development of more advanced classification systems applicable to various fields requiring complex pattern recognition.
Leveraging NLP to Analyze Regulatory Document Interconnections: A Systematic Review
Authors: Agusta Yudi , Santi I Gusti Ayu Aprilia , Maharani Ni Putu Putri Intan
Published: November 2024

A sustainable digital village requires an effective policy management mechanism to deliver relevant regulatory information to the community. Management information systems for regulations play a crucial role in achieving this. However, communities still face challenges in understanding and navigating the relationships between various regulations. To address this issue, this study conducts a systematic review of the components found in regulatory documents and the methods used to analyze them. The review identifies eight key components in regulatory documents: topic, structure, category, initiator, level, considerations, related regulations, and content. Natural Language Processing (NLP) techniques can be employed for data preprocessing, including tokenization, lowercasing, stop word removal, stemming, filtering, part-of-speech tagging, lemmatization, and chunking. For feature extraction, methods such as TF-IDF, bag-of-words, WordCount, N-grams, and word embeddings can be applied. To measure the interconnection between regulations, techniques like cosine similarity and K-Means clustering can be utilized. Experimental results demonstrate that combining different methods significantly influences the accuracy of identifying regulatory interconnections. The choice of methods whether simple or complex depends on the context, and confirmation through manual analysis is often required to ensure accuracy.
Machine Learning Models for DDoS Detection in Software-Defined Networking: A Comparative Analysis
Authors: Ferdiansyah Ferdiansyah , Antoni Darius , Valdo Muhammad , Mikko Mikko , Mukmin Chairul , Ependi Usman
Published: November 2024

In today's digital age, Software-Defined Networking (SDN) has become a pivotal technology that improves network control and flexibility. Despite its advantages, the centralized nature of SDN also makes it susceptible to threats such as Distributed Denial of Service (DDoS) attacks. This study compares the effectiveness of three machine learning models Random Forest, Naive Bayes, and Linear Support Vector Classification (LinearSVC) using the 'DDoS SDN dataset' from Kaggle, which contains 104,345 records and 23 features. An equal 70/30 ratio was used on model. The models were then assessed using measures such as accuracy, precision, recall, and F1-score, and ROC curves. Among the models, Random Forest outperformed the others with a 97% accuracy, precision values of 1.00 (benign traffic) and 0.94 (malicious traffic), and an ROC AUC score of 1.00. In contrast, Naive Bayes and LinearSVC recorded lower accuracies of 63% and 66%, respectively. These findings underscore Random Forest's effectiveness in detecting DDoS attacks within SDN environments.
МЕТОДОЛОГІЧНІ ЗАСАДИ РОЗПОДІЛУ КОМПЕТЕНЦІЙ ОРГАНІВ МІСЦЕВОГО САМОВРЯДУВАННЯ ТА ОРГАНІВ ДЕРЖАВНОЇ ВЛАДИ В УКРАЇНІ У КОНТЕКСТІ ДЕЦЕНТРАЛІЗАЦІЇ
Authors: Самойлов Андрій Павлович
Published: November 2024

Стаття присвячена дослідженню методологічних засад розподілу компетенцій органів місцевого самоврядування та органів державної влади в Україні у контексті децентралізації. Здійснено аналіз наукових праць українських вчених, в яких описується методологічний інструментарій, за допомогою якого рекомендується досліджувати діяльність органів місцевого самоврядування, органів державної влади, розподіл їх компетенцій та процеси реформи децентралізації в Україні. Проаналізовано методологію дослідження державного управління, місцевого самоврядування реформи децентралізації як основи визначення методологічних засад розподілу компетенцій органів місцевого самоврядування та органів державної влади в Україні у контексті децентралізації. Розкрито сутність методології як науки та визначені загальнонаукові і спеціальні методи досліджень, пов’язаних з діяльністю органів публічної влади та здійсненням реформи децентралізації в Україні. Зроблено порівняльний аналіз методів дослідження діяльності органів публічної влади в Україні та визначено методологічні засади розподілу компетенцій і повноважень органів місцевого самоврядування та органів державної влади у контексті децентралізації. Визначено методологію розподілу компетенцій органів місцевого самоврядування та органів державної влади , що спрямована на розв’язання комплексних проблем у сфері публічного управління та адміністрування за допомогою дослідницько-інноваційних методів, що передбачає переосмислення наявних процесів і створення нових системних управлінських знань та рішень у питанні розподілу компетенцій між органами місцевого самоврядування та органами державної влади в Україні у контексті децентралізації. Запропоновано на сучасному етапі державотворення, в умовах воєнного стану та повоєнний період, для завершення процесів децентралізації та ефективного розподілу компетенцій і повноважень між органами місцевого самоврядування та органами державної влади сучасні методи дослідження, загальноприйняті у методології дослідження публічного управління.
ФОРМУВАННЯ ТА РЕАЛІЗАЦІЯ ДЕРЖАВНОЇ ЕКОНОМІЧНОЇ ПОЛІТИКИ В КОНТЕКСТІ ЗАБЕЗПЕЧЕННЯ СОЦІАЛЬНОГО БЛАГОПОЛУЧЧЯ У ГРОМАДЯНСЬКОМУ СУСПІЛЬСТВІ
Authors: Харечко Дмитро Олексійович
Published: November 2024

У статті визначено, що в Україні, де багато людей втратили роботу або значну частину доходу через економічну кризу та воєнні дії, питання доступу до платного дозвілля стає дуже актуальним. Люди з вищими доходами мають більше можливостей для участі в різноманітних дозвільних заходах, що сприяє їхньому благополуччю, в той час як інші верстви населення можуть бути обмежені у цих можливостях. В українському контексті ця концепція може мати особливе значення, оскільки війна та інші соціальні зміни впливають на психічне здоров'я та емоційний стан громадян. З’ясовано, що суб'єктивне сприйняття благополуччя може значно відрізнятися залежно від особистого досвіду, культурних та ментальних характеристик людини. Громадяни, які проживають у регіонах, що постраждали від війни, можуть оцінювати своє благополуччя значно нижче через високий рівень стресу та тривоги, навіть якщо їхні базові матеріальні потреби задоволені. У сучасній Україні, де багатьом людям доводиться пристосовуватися до нових умов життя, знаходження радості та задоволення в повсякденних моментах стає важливою стратегією для підтримки психічного здоров'я. Зокрема, в умовах війни, коли багато громадян беруть участь у волонтерських та громадських ініціативах, це може стати важливим джерелом відчуття значущості та особистої цінності, що підвищує їхнє соціальне благополуччя. Доведено, що в умовах тривалої війни, економічних криз та інфляції українське суспільство стикається з численними викликами, які безпосередньо впливають на доступність та якість дозвілля, а отже, і на соціальне благополуччя громадян. Сьогодні українська економіка перебуває під значним тиском через військові дії, руйнування інфраструктури, зміну ринкових умов та вимушене переміщення населення. Все це призводить до зростання безробіття, падіння доходів та зниження загального рівня життя громадян. Обґрунтовано, що громадяни з вищими доходами продовжують мати можливість займатися дозвільними активностями, тоді як малозабезпечені верстви населення стикаються з серйозними обмеженнями. Крім того, економічна нестабільність призводить до скорочення фінансування культурних та спортивних закладів, що ще більше ускладнює доступ до якісного дозвілля. Водночас, зростає роль недержавних організацій та волонтерських ініціатив, які намагаються компенсувати ці прогалини, пропонуючи безкоштовні або доступні за ціною програми та заходи для різних категорій населення.
Review of predictive modeling and machine learning applications in financial service analysis
Authors: Kehinde Josephine Olowe  , Ngozi Linda Edoh  , Stephane Jean Christophe Zouo  , Jeremiah Olamijuwon
Published: November 2024

The financial services industry is undergoing a profound transformation driven by the adoption of predictive modeling and machine learning (ML) technologies. These advancements enable financial institutions to leverage vast datasets, optimize decision-making processes, enhance customer experiences, and mitigate risks more effectively. This review provides a comprehensive exploration of how predictive modeling and ML are revolutionizing various domains within financial services, including risk management, fraud detection, customer analytics, and market forecasting. Predictive modeling techniques, such as regression analysis, decision trees, and support vector machines, are instrumental in assessing credit risk, optimizing portfolio management, and improving financial forecasts. In parallel, ML algorithms particularly deep learning and natural language processing offer sophisticated approaches to detecting fraud, identifying transaction anomalies, and extracting insights from unstructured data sources like social media and financial reports. The review also highlights the application of ML in personalizing customer interactions, enabling banks and fintech companies to deliver tailored products and services that enhance customer loyalty. Despite the promising benefits, integrating these technologies presents challenges related to data privacy, model interpretability, and compliance with regulatory standards. The need to address algorithmic biases and ensure data security remains paramount as the financial industry navigates the complexities of digital transformation. This review emphasizes the importance of striking a balance between innovation and ethical considerations to foster trust and transparency. By synthesizing current applications, industry use cases, and future trends, this review underscores the critical role of predictive analytics and ML in shaping the future of financial services. It advocates for continued research and collaboration to unlock new opportunities and drive sustainable growth in the sector.
Keywords: Predictive Modeling, Machine Learning, Financial Service Analysis, Review.
The role of Fintech-enabled microfinance in SME growth and economic resilience: Case studies and lessons learned
Authors: Bamidele Micheal Omowole  , Oghenekome Urefe  , Chukwunweike Mokogwu  , Somto Emmanuel Ewim
Published: November 2024

Small and medium-sized enterprises (SMEs) are crucial drivers of economic growth, employment, and innovation, particularly in emerging economies. However, many SMEs face significant barriers in accessing traditional financial services, which limits their growth potential and economic resilience. Fintech-enabled microfinance has emerged as a transformative solution, leveraging technology to increase accessibility, affordability, and flexibility of financial services for SMEs. This review explores the role of fintech-driven microfinance in fostering SME growth and resilience, drawing insights from various case studies across different regions. Key fintech applications, such as mobile banking, peer-to-peer lending, and digital credit scoring, have revolutionized the microfinance landscape by reducing operational costs, improving the speed of service delivery, and reaching underserved SMEs in remote and low-income areas. These innovations allow SMEs to access timely capital, manage financial risk, and sustain operations during economic downturns, enhancing their ability to withstand shocks and sustain growth. Case studies, including mobile-based microloans in Kenya, peer-to-peer platforms in Indonesia, and blockchain-enabled lending in India, demonstrate the tangible impacts of fintech in enabling financial inclusion and economic empowerment. The review also discusses the lessons learned, emphasizing the importance of financial literacy, balanced regulatory frameworks, and addressing connectivity challenges to ensure equitable access. While fintech-enabled microfinance offers promising benefits, challenges such as cybersecurity risks, regulatory compliance, and the digital divide remain critical considerations. Overall, the findings suggest that fintech can significantly enhance SME resilience and contribute to more inclusive economic development. Future research and policy efforts should focus on maximizing these benefits while mitigating associated risks, paving the way for sustainable, fintech-driven microfinance models.
Keywords:  Fintech, Microfinance, SME, Economic Resilience, Review.
Analyzing non-performing loan ratio in Egyptian banks: The impact of lending and environmental risks
Authors: Asmaa Mohammed  , Junming Yin
Published: November 2024

The present paper investigates the association between the carbon intensity of loans and non-performing loan ratios (NPLR) in Egypt, tapping into an under-researched but important domain in environmental finance. Using an original survey administered to people working in the sector, this study combines responses that measure perceptions of carbon intensity measures, lending risks, and responses to these challenges in the banking sector. By linking these variables with NPLR, the empirical analysis will allow us to estimate direct and indirect effects of carbon-intensive on loans. Preliminary results show that an increase in carbon intensity increases non-performing loan ratios, suggesting that riskier carbon-intensive loans are associated with a higher likelihood of default. This paper adds to the emerging literature on sustainable banking by estimating the financial impact of environmental risks in loan portfolios and suggests that improving green lending behaviour can decrease the risk of future financial crises triggered by the banking sector.
Keywords:  Carbon Intensity of Loan, Non-Performing Loan Ratio, Lending Risks, Mitigation Measures, Overall Assessment.
Ergonomic concern in determination of optimum teaching approach in a primary school system – A systematic Review
Authors: Ogochukwu C. Nwosu  , Victor M. Mbachu  , Moses C. Uzochukwukamma  , Ugochi C. Mbachu
Published: November 2024

Application of ergonomics in work systems and measurement of physiological cost of work helps to improve productivity in a work system. In the ever-evolving education system, determining the optimum teaching approach- whether generalist/class teaching or specialist/subject teaching using ergonomics and measurement of physiological cost of work is crucial in enhancing productivity of teachers, and fostering students learning and engagement. This paper presents a systematic review of ergonomics and physiological cost of work measurement in various work systems including the education system. Many databases such as google scholar, research gate, springer, science direct were used to select papers for the review. The study revealed that there is need to consider the ergonomic factor in comparing the two teaching strategies – generalist or specialist concept.
Keywords: Ergonomics, Physiological Cost of Work, Heart Rate, Oxygen Consumption, Teaching Approach
Aflibercept (Eylea HD)
Authors: CDA-AMC
Published: November 2024

Reimbursement reviews are comprehensive assessments of the clinical effectiveness and cost-effectiveness, as well as patient and clinician perspectives, of a drug or drug class.
The assessments inform nonbinding recommendations that help guide the reimbursement decisions of Canada’s federal, provincial, and territorial governments, with the exception of Quebec.
This review assesses aflibercept (Eylea HD) 8 mg/0.07 mL, solution for intravitreal injection.
Indication: For the treatment of diabetic macular edema.
Study of the Effect of Grain Angle on the Compressive Strength of Red Meranti Timber (Shorea spp.)
Authors: Pranata Yosafat Aji , Kristianto Anang , Novi Novi
Published: November 2024

The compressive strength of timber is the main parameter in designing truss system, for instance timber bridges, building roof, or column in buildings. In term of design of compression structural components according to the SNI 7973:2013, the corrected compression design value is a calculation of compressive strength parameters and correction factors, for example, wet service factors, temperature factors, column stability factors, and others. Timber as an orthotropic material has three main directions, therefore the angle of the timber grain has an influence on compressive strength. This research aims to study the effect of timber grain’s angle on the compressive strength of Red Meranti wood (Shorea spp.) and develop an empirical equation to calculate the compressive strength of timber with the influence of the wood grain’s angle. The test specimens were made based on the primary method reference for compression test namely 50mm x 50mm x 200mm (parallel to the grain type), according to ASTM D143-22 for test specimens with variations in fiber direction, namely 0°, 10°, 20° and 30°. Meanwhile, test objects with variations in fiber direction, namely 60°, 70°, 80° and 90°, were made the sizes of 50mm x 50mm x 150mm (perpendicular to the grain type). Testings were carried out using a Universal Testing Machine with test speed according to ASTM D143-22. All test objects were made in dry conditions (moisture content ranging from 14% to 16%). The conclusion obtained from this research are an empirical equation for calculating the compressive strength of Red Meranti timber with a predictor is the timber grain’s angle, which are FCY = 14.01 – 0.119θ + 0.000042θ2 (in term of yield of proportional point) and FCU = 29.82 – 0.417θ + 0.0018θ2 (in term of peak or ultimate point). This equation provides benefits for academics and practitioners, especially in designing compression structural components especially with compression value as the main parameter.
PENERAPAN METODE TAKTIL DALAM PEMBELAJARAN MATEMATIKA BERBASIS NILAI NILAI PANCASILA PADA SISWA TUNANETRA
Authors: WINARTO BAMBANG , PERTIWI RUVITA IFFAHTUR , NOVITASARI RIKA , DAMAYANTI NIA WAHYU
Published: November 2024

This study aims to explore the application of tactile methods in mathematics learning based on Pancasila values ??for blind students. This approach is based on the needs of blind students to get access to adequate and meaningful education, especially in mathematics subjects which are often considered difficult because of their abstract and visual nature. The tactile method is a method that uses the help of physical objects and prioritizes the ability to touch. This method is implemented by integrating Pancasila values. This study uses a qualitative method with a case study approach in Special Schools (SLB). Data were collected through observation, interviews, and documentation of students and teachers involved in the learning process. The results of the study indicate that the application of tactile methods can improve the understanding of mathematical concepts for blind students. In addition, the integration of Pancasila values ??in learning has a positive impact on the development of student character, such as increasing a sense of togetherness and mutual respect. This study concludes that the tactile method based on Pancasila values ??is effective in improving the accessibility and quality of mathematics learning for blind students, as well as contributing to the development of their moral and social values.
ABSTRAKPenelitian ini bertujuan untuk mengeksplorasi penerapan metode taktil dalam pembelajaran matematika yang berbasis nilai-nilai Pancasila pada siswa tunanetra. Pendekatan ini didasari oleh kebutuhan siswa tunanetra untuk mendapatkan akses pendidikan yang memadai dan bermakna, khususnya dalam mata pelajaran matematika yang sering kali dianggap sulit karena sifatnya yang abstrak dan visual. Metode taktil merupakan metode yang menggunakan bantuan benda-benda fisik dan mengutamakan kemampuan perabaan. Metode ini diimplementasikan dengan mengintegrasikan nilai-nilai Pancasila. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus di Sekolah Luar Biasa (SLB). Data dikumpulkan melalui observasi, wawancara, dan dokumentasi terhadap siswa dan guru yang terlibat dalam proses pembelajaran. Hasil penelitian menunjukkan bahwa penerapan metode taktil dapat meningkatkan pemahaman konsep matematika bagi siswa tunanetra. Selain itu, integrasi nilai-nilai Pancasila dalam pembelajaran memberikan dampak positif pada perkembangan karakter siswa, seperti peningkatan rasa kebersamaan dan sikap saling menghargai. Penelitian ini menyimpulkan bahwa metode taktil berbasis nilai-nilai Pancasila efektif dalam meningkatkan aksesibilitas dan kualitas pembelajaran matematika bagi siswa tunanetra, serta memberikan kontribusi pada pengembangan nilai-nilai moral dan sosial mereka.
ANALISIS KEBUTUHAN PEMBELAJARAN IPAS KELAS 4: RANCANGAN MEDIA VIDEO EDUKASI MENGGUNAKAN POWTOON DI SDN 9 PSEKSU
Authors: OKTOBERIANSYAH OKTOBERIANSYAH , MAHARANI SITI DEWI , SYARIFUDDIN SYARIFUDDIN
Published: November 2024

This article aims to present the results of a needs analysis regarding the use of Powtoon-based video learning media for IPAS, obtained through a questionnaire distributed at the research location. The study was conducted at SDN 9 PSEKSU using the ADDIE research method. The collected data are qualitative, which were then analyzed before being compiled into descriptive data for presentation in the writing. The data collection technique involved distributing questionnaires to students. The findings indicate that students are more engaged with learning that incorporates audiovisual elements. Elementary-level students tend to be more attracted to unique and interesting visuals, such as videos created using Powtoon featuring appealing animations. This media can be utilized in IPAS learning presented in an engaging manner.
ABSTRAKArtikel ini bertujuan untuk menyampaikan hasil analisis kebutuhan mengenai penggunaan media video pembelajaran IPAS berbasis Powtoon, yang diperoleh melalui penyebaran angket di lokasi penelitian. Penelitian ini dilakukan di SDN 9 PSEKSU dengan metode ADDIE. Data yang dikumpulkan bersifat kualitatif, yang kemudian dianalisis sebelum disusun menjadi data deskriptif untuk ditampilkan dalam tulisan. Teknik pengumpulan data menggunakan angket yang dibagikan kepada peserta didik. Hasil penelitian menunjukkan bahwa peserta didik lebih tertarik pada pembelajaran yang mengintegrasikan elemen audiovisual. Peserta didik di tingkat dasar cenderung lebih tertarik pada visual yang unik dan menarik, seperti video yang dibuat menggunakan Powtoon dengan animasi. Media ini dapat digunakan dalam pembelajaran IPAS dengan cara yang menarik.
PENGARUH KEMANDIRIAN BELAJAR TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA SMP
Authors: QORI ALMA RIFATUL
Published: November 2024

This study aims to evaluate the magnitude of the influence between learning independence and mathematical problem-solving ability and whether learning independence has an impact on mathematical problem-solving ability at the junior high school student level. The population in this study were grade VII students of SMPIT YAPIDH in the 2022/2023 academic year. and as many as 24 students were the samples in the study. The research data were collected by providing 5 mathematical problem-solving ability test items and questionnaires related to student learning independence. The results of the study found that learning independence had an effect of 21.9% on students' ability to solve mathematical problems. The coefficient of determination or R Square was found to be 0.219, indicating that 78.1% of the variance (X) related to learning independence can affect the variable (Y) of students' ability to solve mathematical problems.
ABSTRAKPenelitian ini bertujuan untuk mengevaluasi besarnya pengaruh antara kemandirian belajar dan kemampuan pemecahan masalah matematis serta apakah kemandirian belajar berdampak pada kemampuan pemecahan masalah matematis di tingkat siswa SMP. Populasi dalam penelitian ini adalah siswa kelas VII SMPIT YAPIDH tahun ajaran 2022/2023. dan sebanyak 24 siswa menjadi sampel dalam penelitian. Data penelitian dikumpulkan dengan memberikan 5 butir soal tes kemampuan pemecahan masalah matematis dan kuesioner terkait kemandirian belajar siswa. Hasil penelitian ditemukan bahwa menunjukkan bahwa kemandirian belajar berpengaruh sebesar 21,9% terhadap kemampuan siswa dalam memecahkan masalah matematika. Koefisien determinasi atau R Square ditemukan sebesar 0,219, menunjukkan bahwa 78,1% varians (X) yang terkait dengan kemandirian belajar dapat mempengaruhi variabel (Y) kemampuan siswa dalam memecahkan masalah matematika.
PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING BERBASIS GAME KAHOOT TERHADAP MINAT BELAJAR SISWA PADA MATA PELAJARAN PPKn KELAS X DI SMAN 2 MATARAM
Authors: AINI ANATUL , ZUBAIR MOH. , HUDORI AHMAD , ISMAIL M.
Published: November 2024

The purpose of this study is to see whether the application of the problem based learning model based on the kahoot game has an effect on student’s interest in learning in PPKn subject. The approach used is quantitative with the type of research, quasi-experimental and nonequivalent control type. The research sample consisted of two classes with a purposive sampling technique. Data analysis using prerequisite test, namely the normality test (Shapiro-Wilk Test), homogeneity test (Levene test), and Hypothesis test (t test) Based on the results of hypothesis testing using the t-test with a significance level of 5%, a significant value of < 0,001 < 0,05 was obtained, then H0 was rejected and Ha was accepted. Thus, it can said that there is an effect of the application of the problem based learning model based on the kahoot game on students interest in learning in PPKn subjects for class X at SMAN 2 Mataram.
ABSTRAKPenelitian ini bertujuan untuk menganalisis apakah penerapan model pembelajaran problem based learning berbasis game kahoot memiliki pengaruh terhadap minat belajar siswa pada mata pelajaran PPKn. Pendekatan yang digunakan adalah kuantitatif dengan jenis penelitian quasi eksperimen dan tipe nonequivalent control. Sampel penelitian terdiri dari dua kelas dengan teknik purposive sampling. Analisis data menggunakan uji prasyarat yaitu uji normalitas (uji Shapiro-Wilk), uji homogenitas (Uji Levene), dan uji Hipotesis (Uji t). Berdasarkan hasil pengujian hipotesis menggunakan uji-t dengan taraf signifikan 5% diperoleh nilai signifikan < 0,001<0,05, maka H0 ditolak dan Ha diterima. Dengan demikian dapat dikatakan bahwa terdapat adanya pengaruh dari penerapan model pembelajaran problem based learning berbasis game kahoot terhadap minat belajar siswa pada mata pelajaran PPKn kelas X di SMAN 2 Mataram.
IMPLEMENTASI ILMU MANAJEMEN PADA KEPEMIMPINAN KEPALA SEKOLAH DI SMA N 3 PADANG PANJANG
Authors: DAMRI DAMRI , PRASETYO YUDO INDRA , MISRAWANI MISRAWANI , JAMILUS JAMILUS
Published: November 2024

Management science plays a crucial role in the management of organizations, including educational institutions, which face complex challenges in the era of globalization and technological advancement. In the education sector, the school principal, as both a leader and manager, carries significant responsibility in creating a productive and innovative learning environment. This article examines the application of management science in school leadership at SMA Negeri 3 Padang Panjang, focusing on the planning, organizing, implementation, and control of resources. The study aims to explore how the application of sound managerial principles can improve the quality of education through effective management of human resources, learning programs, and the utilization of information technology. Additionally, this article discusses the importance of communication and collaboration among stakeholders such as teachers, students, parents, and the community to create positive synergy that supports the effectiveness of the learning process. The findings of this study are expected to provide insights into managerial practices that can be implemented by school principals and offer strategic recommendations for improving educational quality at SMA N 3 Padang Panjang and other educational institutions.
ABSTRAKIlmu manajemen memiliki peran krusial dalam pengelolaan organisasi, termasuk lembaga pendidikan, yang menghadapi tantangan kompleks dalam era globalisasi dan kemajuan teknologi. Di sektor pendidikan, kepala sekolah sebagai pemimpin dan pengelola memiliki tanggung jawab besar dalam menciptakan lingkungan belajar yang produktif dan inovatif. Artikel ini mengkaji penerapan ilmu manajemen dalam kepemimpinan kepala sekolah di SMA Negeri 3 Padang Panjang, dengan fokus pada perencanaan, pengorganisasian, pelaksanaan, dan pengendalian sumber daya. Penelitian ini bertujuan untuk menggali bagaimana penerapan prinsip-prinsip manajerial yang baik dapat meningkatkan kualitas pendidikan melalui pengelolaan sumber daya manusia, program pembelajaran, serta pemanfaatan teknologi informasi. Selain itu, artikel ini juga membahas pentingnya komunikasi dan kolaborasi antara pemangku kepentingan, seperti guru, siswa, orang tua, dan masyarakat, untuk menciptakan sinergi positif yang mendukung efektivitas proses pembelajaran. Hasil penelitian ini diharapkan memberikan wawasan tentang praktik-praktik manajerial yang dapat diimplementasikan oleh kepala sekolah, serta memberikan rekomendasi strategis untuk meningkatkan kualitas pendidikan di SMA N 3 Padang Panjang dan lembaga pendidikan lainnya.
IMPACTO DA INTEGRAÇÃO DA FACULDADE DE MEDICINA COM AS CASAS DE SAÚDE DE DIAMANTINA NA ATENÇÃO À SAÚDE E QUALIDADE DE VIDA DA POPULAÇÃO ASSISTIDA
Authors: Teixeira Fernanda Fernandes , Gomes Bethânia de Sousa , Santos Eliziária Cardoso dos , Fernandes Mirela Aparecida de Freitas Ribeiro , Melo Jackércia Ranna de Souza
Published: November 2024

Este artigo analisou o impacto da integração entre a Faculdade de Medicina (FAMED) da UFVJM e as unidades de saúde em Diamantina, avaliando serviços prestados e a percepção de profissionais, pacientes e estagiários. Trata-se de um estudo exploratório que coletou dados no segundo ano de execução, focando nos quatro primeiros anos do curso de medicina. Os dados foram obtidos via questionários e contabilização dos serviços da FAMED. Em 2023, registraram-se 903 serviços no ciclo básico, incluindo territorialização, vacinação, triagem, visitas domiciliares e educação em saúde. No ciclo clínico, realizaram-se 1.486 consultas em especialidades nas UBSs e no ambulatório escola. Foram coletadas 245 entrevistas, indicando alta satisfação entre pacientes, profissionais e estudantes com os serviços dos estagiários. Contudo, os profissionais apresentaram uma visão técnica sobre a atuação dos estagiários, apontando melhorias necessárias. O estudo destaca a relevância da colaboração entre academia e saúde pública, proporcionando insights para aprimorar a integração ensino-serviço-comunidade em Diamantina.
LEALDADES INVISÍVEIS: COMO AS LEALDADES FAMILIARES IMPACTAM NA ESCOLHA PROFISSIONAL
Authors: Correia Lais Lamboia , Grzebieluckas Tomylee de Matos , Sampaio Júlia Chiminecki Kissula
Published: November 2024

Com base na teoria de transmissão geracional de Bowen, observou-se que as lealdades invisíveis, muitas vezes não reconhecidas pelos membros da família, podem gerar um senso de dívida emocional que limita a liberdade de escolha e leva a conflitos internos. Em contraste, as lealdades visíveis foram associadas a apoio e segurança, promovendo decisões mais confiantes e um senso de pertencimento. O presente estudo investigou como as lealdades familiares, tanto visíveis quanto invisíveis, influenciam a escolha profissional de jovens no primeiro ano de graduação. A pesquisa foi conduzida com 55 participantes que relataram ter suas decisões de carreira impactadas direta ou indiretamente pela influência dos pais. Utilizando um questionário aplicado online, os dados coletados revelaram que a transmissão de valores, mitos e expectativas familiares ocorre de forma consciente e inconsciente, moldando as escolhas dos indivíduos e sendo percebida como natural. As respostas destacaram que a influência familiar pode ser tanto um fator positivo quanto um elemento restritivo, dependendo de como essas lealdades são vividas. A análise concluiu que o equilíbrio entre a manutenção de laços familiares e a promoção da autonomia é essencial para escolhas profissionais autênticas. Conclui-se que compreender essas influências pode favorecer decisões mais alinhadas e satisfatórias, equilibrando tradição e individuação.
CIRURGIA DE URGÊNCIA PARA TRATAMENTO DA ONFALITE EM NEONATOS
Authors: Barros Talita de Farias Sousa , Rodrigues Mário Jorge Rios Gil , Menezes Germano Morais de , Cavalcanti Louise Medeiros , Souki Giovana Barboza
Published: November 2024

Introdução: A onfalite é uma infecção do cordão umbilical que afeta neonatos, sendo uma condição de emergência que pode levar a complicações graves, como sepse, abscessos intra-abdominais e até morte. Sua detecção precoce e o tratamento adequado são cruciais para a redução da morbimortalidade. A onfalite pode ser causada por uma variedade de microorganismos, incluindo bactérias gram-positivas, gram-negativas e, em casos raros, fungos. Em neonatos, especialmente os prematuros ou com sistema imunológico comprometido, a infecção do cordão umbilical representa um desafio significativo. Objetivo: Analisar os principais fatores associados ao tratamento cirúrgico de urgência para a onfalite em neonatos, identificando intervenções clínicas, tipos de cirurgia e desfechos relacionados a esse tratamento. Metodologia: A revisão foi conduzida com base nos critérios do checklist PRISMA. Foram consultadas as bases de dados PubMed, Scielo e Web of Science para artigos publicados nos últimos 10 anos. Os descritores utilizados foram "onfalite", "neonatos", "cirurgia de urgência", "infecção umbilical" e "tratamento neonatal". A pesquisa foi limitada a estudos em inglês, português e espanhol. Três critérios de inclusão foram: estudos sobre neonatos com diagnóstico de onfalite, estudos que relatassem intervenções cirúrgicas, e artigos que fornecessem dados sobre os desfechos clínicos após o tratamento. Os critérios de exclusão foram: estudos com foco em infecções umbilicais em adultos, revisões e estudos não originais, e artigos publicados antes de 2014. Resultados: A revisão encontrou que a cirurgia de urgência é indicada em casos de onfalite grave, com sinais de necrose do tecido umbilical, abscessos ou perfuração intestinal. A maioria dos estudos relatou que o tratamento cirúrgico reduz a mortalidade e previne complicações sépticas graves. A técnica cirúrgica mais comum envolveu a excisão do tecido infectado e a drenagem de abscessos. Em neonatos com risco elevado, como os prematuros, o tratamento antibiótico concomitante foi essencial para o sucesso do procedimento. Conclusão: A cirurgia de urgência é uma intervenção vital no tratamento da onfalite grave em neonatos. Quando realizada precocemente, pode reduzir significativamente a mortalidade e prevenir complicações associadas à sepse neonatal. A detecção rápida e a abordagem terapêutica eficaz são cruciais para melhorar os desfechos clínicos desses pacientes.
Die Landstände. Politische Stellung, Zusammensetzung und Aufgabengebiete
Authors: Winkelbauer Thomas
Published: November 2024

The Estates. Political Position, Composition and Areas of Responsibility. After the defeat of the revolt of the Estates in 1620 and after the end of the Thirty Years’ War, the Lower Austrian estates, which in the High and Late Middle Ages had been the country in the original sense together with the sovereign according to Otto Brunner’s classical thesis, were transformed into a group of privileged subjects in the early modern princely state, in which they were particularly active in the financing and supply of the continuously growing imperial army. Largely excluding the latter aspect, which is dealt with in a separate chapter of this volume, the present contribution provides an overview of the development of the composition of the four estates (prelates, lords, knights, fourth estate), in particular the two noble curia, the significance and procedure of hereditary homage, the functioning of the diets as well as the collegial bodies, authorities and officials, tasks, competences and activities of the estates. Keywords: court and country, hereditary homage, diets, administrative history