bluuebunny/crossref_metadata_2025 huggingface dataset:
Regional and Local Kannada Newspapers in Raichur District A Study
Authors: - Prabha Basavaraj Swamy
Published: August 2024

Abstract:
The present article examines the existence and shape of the growth functions of circulation for leading regional and local newspapers in Raichur District, and assesses their effects on their competitors. Since digital news consumption is proliferating in India, it is important to study how Karnataka regional newspapers have adapted. The study examines the extent to which Raichur District Karnataka in regional and Local newspapers have the study looks at newspaper of the most circulated Kannada language (a regional language of Raichur District in Karnataka state) newspapers. Our study finds that regional and local newspaper. The people of Raichur, Koppala, Yadagiri, Gulbarga, Bidar, Bellary (Kalyana–Karnataka) and Vijayanagara, Gadag, Bagalkote region read these newspaper.
An Analysis of the Impact of Stubble Burning and Firecrackers on the Environment and Human Well-being
Authors: - Aarush Chhatwal
Published: August 2024

Pollution, the contamination of the environment with harmful materials, affects human health, quality of life, and ecosystem functions. Recently, stubble burning and firecracker usage have drawn attention for their environmental impact, particularly in India’s National Capital Region (NCR): Delhi, where toxic air creates public health emergencies in winter due to inversion, moisture, and poor wind dispersion. Fireworks also cause short-term air quality deterioration by releasing hazardous chemicals and organic pollutants. Ground-level displays have immediate health effects, unlike high-altitude releases, which dilute pollutants. The bursting of firecrackers is seen as a symbolic expression of joy in Indian Culture. Using both primary data, from farmers as well as the people of Delhi and Chandigarh (two Union Territories of India, one being the capital city and the other being a comparatively cleaner and greener city) and secondary data and information, collected from government and credible portals, an analysis has been done on the impact of stubble burning and firecrackers along with the reasons for these taking place from the surveys carried out online. This analytical research aims to bring forward the potential reasons for people continuing to burst firecrackers and farmers burning stubble, despite knowing the detrimental impacts on environment and health of others, as well as assessing the impact on the health of residents of Delhi and Chandigarh.
Employee Well-being: An Emerging Strategy for Human Capital Management
Authors: - Asha Kori
Published: August 2024

Wellbeing is fundamentally associated with numerous aspects in one's life say health, job, family, community, environment, and financial benefits to name a few of them. The term employee wellbeing is very comprehensive and hence it has a widespread impact not only on the employee's performance at the workplace and her/his life at home but also creates a great impact on the organizations where they are working. After the COVID-19 pandemic employers are focusing more on wellbeing now than ever before. On one side it is seen that this pandemic has introduced the Work from Home (WFH) concept more rigorously and employees could balance work and life profoundly. In contrast, on the other side, some found juggling between work and life, as there are no distinctive boundaries between work and life. When employees can maintain healthy and positive mental states, they can take on their roles confidently and enthusiastically, leading to higher productivity and job satisfaction. This article explores the concept of employee well-being, examining its advantages for organizations and current practices in Indian companies. Further, it offers recommendations for strategies that organizations can implement to enhance employee well-being.
A Review on Ancient Cryptographic, Modern Cryptographic and Quantum Cryptographic Techniques
Authors: - Mangala Sharma , - Rajesh Boghey , - Ritu Prasad
Published: August 2024

Cryptography has a long and fascinating history, evolving from ancient techniques to modern methods and now exploring the potential of quantum mechanics. This review paper provides a comprehensive overview of cryptographic techniques from past to present.
We begin by examining ancient cryptographic techniques, tracing their origins back to 2000 B.C. when the ancient Egyptians used "secret" hieroglyphics. We also discuss evidence from ancient Greece and Rome, such as secret writings and the famous Caesar cipher [1]. These early methods laid the foundation for the field of cryptography. Next, we delve into modern cryptographic techniques that have become increasingly complex and diverse in their applications. We explore how cryptography now makes extensive use of mathematical concepts from fields like information theory, computational complexity, statistics, combinatorics, abstract algebra, number theory, and finite mathematics. We also discuss how the development of digital computers and electronics has revolutionized cryptography, allowing for the encryption of any kind of binary data and the design of much more intricate ciphers [2].
Finally, we examine the emerging field of quantum cryptography, which aims to harness the principles of quantum mechanics to achieve new cryptographic functionalities beyond classical information alone. We survey some of the most remarkable theoretical uses of quantum information for cryptography, as well as the limitations and challenges faced by cryptographers in this new paradigm [3].
By tracing the evolution of cryptography from ancient times to the present day and beyond, this review paper provides valuable insights into the rich history and promising future of this critical field of study.
Fine needle aspiration cytology of Cylindroma of Hand: A case report
Authors: - Vivek Kumar Sharma , - Devika Sahu , - Shruti Sharma
Published: August 2024

In this case report, we have diagnosed a rare case of dermal cylindroma by fine needle aspiration cytology in a young female patient. Further confirmation of diagnosis was done by histopathological examination. On cytological examination, FNA smears revealed clusters of small round to oval cells having round to oval nuclei and scant cytoplasm. Dark magenta coloured globular material was also seen. These globules were occasionally surrounded by basal type of cells. Subsequently histopathological examination revealed tumor cells in nestd arranged in a jigsaw fashion. Abundant basement membrane like material was also seen between the tumor cells. FNA may prove helpful in the preliminary diagnosis of cylindroma.
Navigating the Complexities in Tuberculosis Management: A Case of Transverse Myelitis Masquerade
Authors: - Sharanya M , - Nita John , - Nagashree V S , - Puneet K. Nagendra
Published: August 2024

This case report underscores the intricate nature of diagnosing and treating neurological complications linked with tuberculosis (TB). Initially, a senior male with chronic obstructive pulmonary disease (COPD) was treated for lobar pneumonia, yet failed to show improvement. Further assessment revealed bilateral lower limb weakness and sensory disruptions post Anti Tubercular Therapy (ATT) initiation, suggestive of acute transverse myelitis (ATM). Prompt administration of corticosteroids alongside ATT led to substantial clinical amelioration, despite inconclusive radiological evidence. The case highlights the necessity of considering TB in unconventional neurological presentations, timely initiation of suitable therapy, and the potential benefits of a collaborative approach in enhancing patient outcomes.
Flipped Learning Approach in India - A Systematic Literature Review
Authors: - Asya Azhar , - Rabiatul-Adawiah Ahmad Rashid
Published: August 2024

This study presents a systematic literature review of research studies conducted on the Flipped Learning Approach (FLA) in India from 2020 to 2024. 4 databases were used to review the research work and findings show that FLA has been well received by the faculty and students after implementation. The research review shows the growing adoption of FLA in the Indian education scenario, efforts of pedagogical application, and the related educational technology to access. A significant research gap is identified in the implementation of FLA at school level, indicating a need for further studies exploring FLA's applicability in primary and secondary education in India. The study concludes that FLA in Indian institutions is growing and being well-received at Higher Education Institutions however needs to be expanded and explored at the school level as well
Optimizing Energy-Efficient in VLSI Architecture for FIR Filter in Seismic Signal Processing
Authors: - Sagar S K , - Dr. J C Narayana Swamy
Published: August 2024

This project aims to developing an optimized and energy-efficient VLSI design for FIR filters specifically designed for seismic signal processing. The process begins by converting seismic signal dataset values into binary format, and then, simulating them in MATLAB, and generating a coefficient file. This coefficient file is then analyzed using Verilog HDL code and simulated in the Xilinx Vivado 2022.2 tool to assess key parameters such as area, delay, and power. The suggested architecture lessens the complexity of computing, hardware efficiency compared to traditional FIR filters that utilize the CSE technique. This design employs a critical method known as the CSD-based Matrix-Grouped Common Subexpression Elimination (MCSE) algorithm, which significantly reduces the quantity of logic operators (LOs) and logic depths (LDs). Additionally, the design incorporates a Half-Unit Biased (HUB) rounding technique to minimize the truncation errors and cut-set retiming method to reduce the critical-path delay (CPD). This hardware-efficient FIR filter constructs integrates the CSD-based MCSE algorithm, HUB rounding, and cut-set retiming techniques to offer a reconfigurable FIR filter configuration optimized for hardware efficiency, thereby enhancing the real-time alert seismic signal processing. The implementation of an Artix-7 FPGA board including clock gating techniques to further reduces the power consumption.
SIGNS: A Tool in Enhancing the Skills of Grade 7 Students on Operation of Integers
Authors: - NORVEEN S. CAMPANILLA
Published: August 2024

One of the most problematic areas of mathematics over the years has been the operation of integers; students' problem-solving skills regarding the application of positive and negative signs on integers still need extra support in order to become proficient in it. The following action research was carried out to verify the efficacy of SIGNS in developing a solving capability among Grade 7 learners in studying operations of integers under the theme of feeling no good at math, specifically using a quasi-experimental design with a one-group pre-test and post-test research design. Grade size of the 40 students, who were purposefully selected from diagnostic test scores for participating in the study. The results of this study also showed that there was a significant gain in the solving skills of the learners, which could be observed from the computed mean and standard deviation. This is why there was such a big difference in the mean pre-test and post-test scores of these participants. Results also demonstrated that the intervention had a massive effect on participants' performance. With this, it is further suggested that mathematics teachers utilize SIGNS in teaching operations of integers as well as encourage school administrators to collaborate with the SIGNS team for resource development, such as guided notes and simulations supported by guided inquiry-based materials contextualized according to curricular standards and intended learner performances regarding solving of integer operations. Additionally, it is also advised that a study of the same type but more extensive in range be performed to improve SIGNS.
Predictive Analytics for Identifying High-Risk Medicare Patients: Enhancing Preventive Care
Authors: - Ginoop Chennekkattu Markose
Published: August 2024

The intended purpose of this paper is to carry out an analysis of the use of predictive modeling for the early identification of high-risk Medicare patients with the aim of enhancing preventative measures. MEDI-CARE, a vital policy in the United States of America, which focuses on offering health care services to the old and people with disabilities, has been criticized over such factors as Shortcoming of Medicare hence can be attributed to factors such as the growing costs of health care and the emerging cases of chronic diseases. A new type of risk stratification: The use of predictive analytics, which incorporates ML-AI, is also in the early warning system and to monitor or follow up on the patient’s adverse health event, subsequent to which care coordination plans can be formulated. The abstract, hence, is an explanation of the roles of preventive and predictive analytics, especially in health care, with such a thing as the identification of early high-risk patients and management. They are that there is a rise in the dependence on methodologies that are data-driven for the purpose of attaining enhanced healthcare outcomes, reduction in the hospitalization quotient and the effective management of diseases which occur chronically. A few such points comprise data and information from electronic health records and other digital healthcare databases, model construction, and model application. It also addresses the various ethical pitfalls likely to arise when using the concept of predictive analytics, and these include the privacy of the patient’s data, how the collected data will be protected and filtered, as well as the prejudice that might be experienced when developing the algorithm. Current and earlier models of prediction, as well as their application in Medicare and research limitations, are described in the literature review of the article. Whereas in the methodology section, the procedures used in data collection, modeling, and validation are described, the results and discussion section put into perspective the effectiveness of the work done in enhancing Preventive care through predictive analytics. Finally, the discussion in the conclusion shall be based on the findings of the study and recommend future research directions for policy making.
Advances In Celestial Mechanics And Dynamical Astronomy: A Literature Review
Authors: - Sandip Kumar Shrivastava
Published: August 2024

This research paper provides a comprehensive examination of recent developments within the realm of celestial mechanics and dynamical astronomy. By conducting an in-depth analysis of existing literature, this study aims to elucidate the pivotal advancements and contributions that have significantly enhanced our understanding of celestial body motion and dynamics.
Through a meticulous evaluation of scholarly articles, books, and conference proceedings, this literature review delves into the fundamental concepts and methodologies that underpin celestial mechanics and dynamical astronomy. The paper explores a wide array of topics, encompassing orbital dynamics, dynamical systems, asterodynamics, planetary science, and explanatory systems.
By synthesizing the findings of esteemed researchers and scientists, this study reveals the profound impact of novel numerical methods, analytical techniques, and observational discoveries on the field. Furthermore, it identifies areas ripe for future investigation, underscoring the vast potential for continued exploration and innovation within celestial mechanics and dynamical astronomy.
Ultimately, this literature review seeks to provide a valuable resource for scholars, researchers, and students seeking insight into the latest advancements and emerging trends in celestial mechanics and dynamical astronomy, while also highlighting the boundless opportunities for future research and discovery.
Antimicrobial Activity of Essential Oils Against Microbes Associated with Street Food
Authors: - Deepika Beniwal , - Sarika Gupta
Published: August 2024

This review aims to evaluate the effectiveness of five essential oils (EOs), namely clove, lemongrass, mint, oregano, and black cardamom, at different concentrations, in fighting microorganisms that were isolated from selected food samples obtained from local street food vendors. The microorganisms isolated from the food samples were Enterobacter sp., Pseudomonas sp., Proteus sp., Acinetobacter sp., Moraxella sp., Escherichia sp. (gram-negative bacteria), and Staphylococcus sp., Bacillus sp., Streptococcus sp., Lactobacillus sp., Micrococcus sp. (gram-positive bacteria). The antimicrobial effects of these oils were tested, and the results were analyzed using one-way analysis of variance (ANOVA) with a significance level of p<0.001. The tests were carried out using different concentrations of 20%, 40%, 60%, 80%, and 100% (v/v) against isolates obtained from raw and street food. It was found that clove oil had the highest effect, followed by mint oil, black cardamom oil, and oregano oil. However, lemongrass oil showed the least antimicrobial effect. The results indicate that clove, mint, and black cardamom EOs are highly effective in controlling pathogenic bacteria. These oils can be used to prevent bacterial growth, extend shelf life, and increase the safety of street food.
Generalized Anxiety Disorder, Depression and Eating Disorders among High School Students in Aizawl, Mizoram
Authors: - Lalrinhlui , - Zokaitluangi , - Gitumoni Konwar
Published: August 2024

The study aimed to determine the level of Generalized Anxiety Disorder, Depression and Eating Disorders among High School Students in Aizawl City, 80 female and 80 male high school students who had equally matched demographic variables were selected from different schools located in Aizawl City using purposive sampling procedures, age range between 12 to 17 years of age served as a sample. The study used (1) the Generalized Anxiety Disorder Assessment (GAD-7: Spitzer et al., 2006), (2) the Patient Health Questionnaire (PHQ; Spitzer et al, 1999), and (3) the Eating Disorder Examination (EDE; Fairburn & Cooper 1993; Fairburn et al. 2008) for the collection of data. Results revealed that Female had a higher GAD, Depression and eating disorders than male students; there was a significant positive relationship between GAD, Depression and Eating Disorders; and GAD and Depression had a significant prediction on eating disorders among the samples. The results may be interpreted as high school students are in much need of psychological care as one mental health problem may have comorbidity with other mental problems.
Overview of the ASME Boiler and Pressure Vessels, U stamps Certification for Pressure Vessels
Authors: - Dabhade Roshan Megharaj
Published: August 2024

The American Society of Mechanical Engineers (ASME) Code and Sections are important for the design, manufacturing, and maintenance of mechanical systems and components. This paper will present importance of ASME U stamp certification which is crucial for ensuring Boiler and Pressure Vessels quality, safety, and compliance with industry standards. ASME U stamp certification which is accepted across the more than 100 nations. This paper also covers ASME U stamp requirements, Certificate duration, Certification processes, and application of U stamp and importance of Single Certification Mark for U stamp
Comparative Evaluation of K-Means, Hierarchical Clustering, and DBSCAN in Blood Donor Segmentation
Authors: - Srilekha S , - Priyadharshini. P , - Adhilakshmi. M
Published: August 2024

Clustering techniques are pivotal in the fields of data analysis and pattern recognition, offering significant insights by grouping data points with similar characteristics. This study aims to perform a comprehensive comparison of three widely used clustering algorithms—K-Means, Hierarchical Clustering, and DBSCAN—on a dataset of blood donors. The objective is to determine which algorithm achieves the most precise and effective clustering of the data, taking into account factors such as donor location, blood type, and donation frequency. The study presents a novel approach by integrating a web-based platform that allows blood donors to register online. This platform not only facilitates the real-time updating of the dataset but also enhances the overall relevance and applicability of the clustering model by continuously incorporating new data entries. By leveraging such a dynamic dataset, the clustering algorithms can adapt to evolving patterns and trends, ensuring more accurate and meaningful insights over time.To rigorously evaluate the performance of each clustering method, several well-established metrics are employed, including the Silhouette Score, which assesses how similar each data point is to its own cluster compared to other clusters; the Davies-Bouldin Index, which evaluates the average similarity ratio of each cluster with its most similar cluster; and the Calinski-Harabasz Index, which measures the ratio of the sum of between-clusters dispersion and of within-cluster dispersion for all clusters. The results of this study indicate that the K-Means algorithm consistently outperforms both Hierarchical Clustering and DBSCAN in terms of accuracy and the clarity of cluster definitions. The findings underscore the robustness of K-Means for applications involving blood donor data, where capturing precise donor groupings can have substantial implications for healthcare logistics and resource allocation. These insights pave the way for further research into the optimization of clustering techniques in dynamic datasets and their practical applications in medical and other domains.
Gender Ideology and Women's Autonomy in Colleen Hoover's Regretting You
Authors: - C.Kamalesh
Published: August 2024

This study investigates the issue of women's autonomy through Colleen Hoover's novel Regretting You. With MacKinnon's dominance theory as a tool, this research paper explores the impact of patriarchal societal norms on power dynamics between men and women. The study's objective is to examine how gender ideology shapes women's choices without their awareness. By investigating the consequences of these norms, this study aims to focus on how sexual dominance inhibits female autonomy. The study employs a qualitative research method, specifically close textual analysis with thematic coding, to identify recurring motifs and character archetypes. Through this approach, the study examines how the novel portrays women as oppressed, victimized, and objectified within the dominant cultural discourse. The findings of the study indicate that internalized patriarchal norms have a significant influence on female characters' attitudes towards domestic violence. Ultimately, this study emphasizes how systemic oppression impedes women's ability to make autonomous choices and underscores the importance of addressing issues such as domestic violence and sexual domination through the experiences of female characters.
Assembly Line Integration as a Lever for Efficiency and Space Utilization in Automotive Parts Production
Authors: - Satyajit Anandrao Gangurde
Published: August 2024

Optimizing space in manufacturing is essential because space is both limited and expensive. Efficient use of space improves productivity, efficiency, and factory layout planning. The aim is to reduce the area used while increasing the value generated per unit of space, aligning with lean manufacturing principles that focus on value-adding activities and minimizing waste, including wasted space. In manufacturing, space optimization involves analyzing areas that add value, support operations, or cause waste. Key considerations include workspace design, safety clearances, and the overlap of functional areas, which can complicate space utilization. Effective floor space planning compares different layout options and measures space usage across categories to find the most efficient arrangement. Simple layout changes can greatly improve space efficiency by up to 80% without requiring large investments. This is crucial for boosting production efficiency and adapting to challenges, like those presented by the COVID-19 pandemic, which highlighted the need for flexible and efficient use of space to maintain safety and operations.
Magnetic Perturbations on Cable-Connected Satellites in Equatorial Orbit: A Review of the Current State of Research
Authors: - Sandip Kumar Shrivastava
Published: August 2024

Cable-connected satellites in equatorial orbit offer enhanced capabilities for various space applications, but their stability is susceptible to magnetic perturbations from the Earth's magnetic field. This literature review examines the current state of research on the effects of geomagnetic field on the dynamics of cable-connected satellites in equatorial orbit. We synthesize findings from previous studies on the impact of magnetic field on orbital dynamics, attitude control, and communication. Our review highlights the significance of considering magnetic perturbations in the design and operation of cable-connected satellites, and identifies knowledge gaps for future research. The results of this review can inform the development of strategies to mitigate the effects of magnetic perturbations and ensure the stability of cable-connected satellites in equatorial orbit.
Information for Decision Making in Child Protection: A study of Decision Making in Delhi
Authors: - Shamikh Arsh , - Zubair Meenai
Published: August 2024

Decision making is a complex phenomenon which is usually defined as a process or a sequence of activities involving the stages of problem recognition, search for information, definition of alternatives and the selection of one from two or more alternatives with the highest degree of reward. Best Interest of the Child is one of the guiding principles under the UNCRC Article 3).

Decision making in the ‘Best Interest of the Child’ in the field of child protection is necessary as the life of the child revolves around the decisions taken for him/her. In normal circumstances, the onus of taking decision for the child is on the biological parents. However, due to certain circumstances which push the children out of the safety net, the decision-making shifts to the state which has the duty to preserve the rights of the children. It is therefore important to examine the dynamics of decision making in the area of child protection by the state.
Data was collected from key functionaries involved in decision making in child protection, including District Child Protection Units and Child Welfare Committee members on various aspects of their decision making Results of the study revealed that decision mkers often face difficulties in taking decisions ensuring the Best Interest of the Child due to insufficient, inaccurate and lack of quality information about the child.
A Comparative Study on the Effect of News Paper and Television on Creating Social Awareness among the Students
Authors: - Dr. Jiban Boruah , - Dr.Karabi Gogoi
Published: August 2024

‘A comparative study on the effect of Newspaper and Television on creating social awareness among the students with particular reference to C.K.B College Teok.’
News paper and television are two significant mass media of social awareness. Previously News papers played greater role but gradually its influences has been declined as the spread of Television services. Television has got greater popularity among the youths because it provides updated information about social phenomenon. In spite of such popularity of Television, role of news paper cannot be under estimated. News paper, for many people, is something basic requirement like morning’s cup of tea. A habitual reader of news paper eagerly waits for the paper to come. Both the media i.e. news paper and T.V have different tastes and for this nothing can be said so easily which out of these two has more significant contribution towards creation of social awareness. In this paper the researcher is trying to analyze the relative importance of newspaper and television on creation of social awareness statistically. For these two sampled groups of 20 students each representing habitual newspaper reader and television watcher has been selected. The awareness has been measured by questionnaire developed by the investigator himself.
DBCLS BioHackathon 2024 Report for Project: Human Glycome Atlas
Authors: Zappa Achille , Aoki-Kinoshita Kiyoko Flora
Published: August 2024

As part of BioHackathon 2024, we here report on our analysis of tools reviewed by this group to implement a new knowledgebase called TOHSA for the Human Glycome Atlas (HGA) Project. In particular, we focus on the experiences of the integration process of the QLever framework, a promising Semantic Web tool for handling "Triple Stores" and SPARQL technologies in the scope of creating a reliable and performant Semantic Knowledge-Base (Infrastructure and Portal) for TOHSA. QLever highlights the ongoing relevance and potential of these technologies to deliver scalable and reliable solutions. It was nice to see that “Triple Stores” and SPARQL technology implementations and developments for the community are ongoing and that progressively useful and performant and scalable/reliable, open-source software is being implemented. And we did a general revision and comparison of relevant Semantic Web Frameworks for our use-case.
Revisiting SRAmetadb.sqlite
Authors: Thalhath Nishad
Published: August 2024

The SRAmetadb.sqlite database, which compiles Sequence Read Archive (SRA) metadata into an offline SQLite format, has been a crucial resource for bioinformatics tools like the SRAdb R package and the pysradb. Despite its utility, the database has not been regularly updated, with the last refresh occurring in late 2023. Moreover, no public tools exist to rebuild or update this database. This report introduces an open-source pipeline developed during the 2024 international biohackaton, designed to generate and update a similar SRAmetadb.sqlite database from SRA metadata, addressing the gap left by the lack of recent updates.The SRAmetadb.sqlite database’s value extends beyond its original use cases, offering potential integration with other tools such as DuckDB and programmatically accessing from custom scripts. The proposed pipeline introduces features like the generation of metadata subsets, enabling researchers to focus on specific species. It also offers offline access to SRA metadata, significantly enhancing query speed and efficiency. This adaptability is particularly relevant as new use cases emerge, including applications in large language models (LLMs) and Retrieval-Augmented Generation (RAG).This pipeline prioritizes low resource usage and ease of maintenance. It is not intended as a direct replacement for the original SRAmetadb.sqlite but seeks to maintain compatibility while exploring the benefits of modern SQLite features. By providing this tool as an open-source resource, the project encourages community involvement to ensure its ongoing development and relevance in the evolving landscape of bioinformatics research.
Peningkatan Kemampuan Pemahaman Matematis Melalui Model Pembelajaran PBL Dengan Pendekatan Teaching at Right Level Pada Materi SPtLDV
Authors: Renaldie Bima Arya , Mustapidah Elda , Madawistama Sri Tirto , Nugraha Depi Ardian
Published: August 2024

Kemampuan matematis merupakan hal yang urgen untuk dapat dikuasai oleh peserta didik di era pembelajaran 21. Penelitian ini bertujuan untuk meningkatkan kemampuan pemahaman matematis peserta didik melalui model pembelajaran Problem Based Learning dengan pendekatan Teaching At The Right level pada materi sistem pertidaksamaan linear dua variabel dan menganalisis peningkatan kemampuan pemahaman matematis peserta didik melalui model pembelajaran Problem Based Learning dengan pendekatan Teaching At The Right level  pada materi bil sistem pertidaksamaan linear dua variabel. Jenis penelitian yang dilakukan yaitu penelitian tindakan kelas (Classroom Action Research) yang terdiri empat tahap, terdiri dari perencanaan, pelaksanaan tindakan, pengamatan/refleksi dan tindak lanjut. Penelitian ini dilakukan pada peserta didik Kelas X-4 SMA Negeri 7 Tasikmalaya tahun ajaran 2023/2024 pada pembelajaran sistem pertidaksamaan linear dua variabel. Penelitian ini dilaksanakan pada bulan Februari tahun 2024. Analisis data yang digunakan dalam penelitian ini adalah analisis deskriptif. Data yang diolah adalah data penilaian Kognitif. Pengolahan data menggunakan hasil pengukuran daya serap dan ketuntasan belajar. Hasil dari penelitian ini menunjukkan bahwa kemampuan pemahaman matematis peserta didik mengalami peningkatan dari sebelum PTK dengan sesudah PTK dengan peningkatan daya serap peserta didik sebesar 4%, peningkatan ketuntasan klasikal sebesar 14%. Oleh karena itu, model PBL dengan pendekatan Teaching at Right Level dapat meningkatkan kemampuan matematis peserta didik.
ETHNIC MINORITY PARTICIPATION IN TOURISM PLANNING: EVIDENCE FROM VIETNAM
Authors: HUY NGUYEN VAN , TRANG NGO THI HUYEN
Published: August 2024

This study aims to investigate the participation of ethnic minorities in tourism planning with particular reference to the political context in Vietnam. A mixed research approach was adopted including qualitative and quantitative methods. Data were collected via semi-structured interviews with key tourism stakeholders and a follow-up survey. This study reveals that participation in tourism planning by ethnic minorities is hindered by government structures and policy, style of planning, inadequate education, and unequal distribution of the benefits of tourism. In particular, the top-down government tourism planning structures hinder participation by ethnic minorities through the process of tourism planning. As involvement enhancing implementation measures, the study proposes capacity building, education, and a fine tuning of approaches to participation. Involvement by indigenous researchers should be encouraged so that research data are more easily understood in the context of ethnic minority ideologies. Future scholars should also take more account of power relations in tourism planning.
IMPLEMENTATION OF CLASSICAL CONDITIONING METHODS ON THE ABILITY TO USE THREE MAGIC WORDS IN EARLY AGE CHILDREN IN GROUP B2 PARENTAS KAHARAP PALANGKA RAYA ACADEMIC YEAR 2023/2024
Authors: Sophia Oktavia Balimulia  , Kezia Aprileony
Published: August 2024

Character education acts as a pillar and strength of a nation in its virtuous character. One way to build character in early childhood is to get children used to saying simple words such as sorry, please and thank you. Three Magic Word is a combination of three simple words but has very important meaning for children. Early childhood is very important to teach. Teaching the Three Magic Words (Sorry, Please and Thank You) can educate children to be better able to know themselves by realizing that every living creature has limitations in its abilities and therefore requires help from other people (the meaning of the words sorry and please). The emergence of awareness in appreciating and respecting other people, and being able to accept the good and bad things in life with grace and being able to understand that everything has great meaning and needs to be grateful for (the meaning of the word thank you). The classical conditioning method was developed by Ivan Pavlov. Classical conditioning refers to a number of training procedures in which one stimulus or stimuli appears to replace another stimulus in developing a response, that these procedures are called classical because of their historical priority. Pavlov stated that the stimulus needs to be repeated repeatedly so that it can be called habituation. This research is quantitative research using experimental methods. The data analysis technique in this research uses a difference test (t-test). The results of this research show that the implementation of the Classical Conditioning habituation method can develop the ability to use the Three Magic Words in early childhood in the B2 group of Kindergarten Parentas Kaharap Palangka Raya.
HUBUNGAN BODY IMAGE DAN PERILAKU MAKAN TERHADAP PERFORMA ATLET HANDBALL PALEMBANG
Authors: Rifalia Grachefa Asyel , Arinda Ditia Fitri
Published: August 2024

Dewasa ini, kondisi performa atlet Indonesia belum mencapai titik ideal, hal ini disebabkan oleh dampak dari asupan makan yang tidak seimbang. Perilaku makan berlebihan atau sangat sedikit dapat menyebabkan gangguan makan dan hal tersebut dapat dipengaruhi oleh body image seseorang. Penelitian ini bertujuan untuk mengetahui hubungan body image dan perilaku makna terhadap performa atlet handball Palembang. Sampel dalam penelitian ini yaitu 64 atlet handball yang ada di Kota Palembang yang dimbil dengan teknik pengambilan sampel total sampling. Teknik analisis data menggunakan uji Kolmogorov-Smirnov. Hasil penelitian ini menunjukan atlet handball di Kota Palembang memiliki body image positif (53,1%), perilaku makan berada pada kategori pendekatan terhadap makan (57,8%), dan performa atlet berada pada kategori sedang (55,7%). Dari analisis data yang dilakukan didapatkan bahwa tidak terdapat hubungan antara body image terhadap performa atlet handball di Kota Palembang (p=0,917) dan tidak terdapat hubungan antara perilaku makan terhadap performa atlet handball di Kota Palembang (p=1,000). Peneliti merekomendasikan agar pelatih meningkatkan performa atlet dengan cara meningkatkan frekuensi latihan dan untuk penelitian selanjutnya agar melakukan penelitian lebih lanjut dengan mengubah atau menambahkan variabel dan menambahkan jumlah sampel.
MANAJEMEN STRES ATLET PUSLATDA DIY DITINJAU DARI JENIS KELAMIN, OLAHRAGA INDIVIDU, DAN OLAHRAGA TIM
Authors: Nugroho Agung , Irianto Djoko Pekik , Lismadiana Lismadiana , Arga Muhammad Wahyu
Published: August 2024

Bidang olahraga merupakan salah satu objek yang tidak dapat terhindar dari kajian stres, dalam bidang olahraga terdapat individu yaitu seorang atlet yang berupaya untuk mencapai prestasi terbaiknya. Hal tersebut sangat dimungkinkan bahwa akan menimbulkan datangnya stres pada setiap individu tersebut. Penelitian ini bertujuan untuk mengetahui dan menganalisa tingkat stres atlet puslatda Daerah Istimewa Yogyakarta (DIY). Atlet yang dituju yaitu semua atlet cabang olahraga yang mengikuti Pemusatan Latihan Daerah (Puslatda). Penelitian yang dilakukan ini merupakan penelitian deskriptif kuantitatif. Adapun teknik pengumpulan datanya menggunakan survei berupa angket Kessler Psychological Distres Scale (K10). Penelitian ini mempunyai sampel sebanyak 506 atlet baik laki-laki maupun perempuan, terdiri dari 31 Cabang Olahraga (Cabor) dengan teknik total sampling. Hasil penelitian menunjukan terdapat kecenderungan bahwa atlet dan pelatih berjenis kelamin perempuan lebih rentan terhadap tingginya serangan stres, serta atlet pada jenis olahraga individu akan lebih cenderung lebih rentan terserang stres. Oleh karena itu fungsi pelatih harus bisa memahami dan mengerti keadaan yang dialami oleh para atletnya dari berbagai aspek dan keadaan, seperti terkait perbadaan gender antara laki-laki dan perempuan, serta perbedaan jenis olahraga yaitu olahraga individu maupun olahraga tim. Begitupun dengan pelatih itu sendiri harus bisa mengontrol stres yang ada dan memperhatikan aspek-aspek yang sangat mungkin menjadi sebuah pertimbangan khusus dalam menanggulangi stres guna mencapai prestasi terbaik.
PENGARUH STRETCHING LOWER BODY UNTUK MEREDAKAN NYERI AKIBAT LATIHAN INTENSITAS TINGGI
Authors: Saloko Bagas Aryo , Ugelta Surdiniaty , Jajat Jajat
Published: August 2024

Stretching adalah teknik relaksasi otot yang dapat meningkatkan mobilitas dan fleksibilitas otot dan memaksimalkan rentang gerakan persendian. Nyeri terjadi bersama banyak proses penyakit atau bersamaan dengan beberapa pemeriksaan diagnostik atau pengobatan, nyeri sangat mengganggu dan menyulitkan lebih banyak orang dibandingkan suatu penyakit manapun. Tujuan penelitian mengetahui pengaruh stretching untuk mengurangi nyeri akibat latihan intensitas tinggi pada lower body pada Klub Futsal Jawara FC. Desain penelitian yang digunakan yaitu dengan Quasi experiment dengan rancangan one group pretest posttest design dan menggunakan Uji Wilcoxon. Teknik sampel dengan menggunakan teknik purposive sampling sebanyak 16 responden. Kriteria yang digunakan yaitu anggota Klub Futsal Jawara FC yang akan bermain pada Jogja Futsal League U-23 dengan latihan instensitas tinggi. Pengukuran tingkat nyeri dengan menggunakan VAS (Visual Analog Scale). Hasil penelitian ini menampilkan bahwa skala nyeri yang dialami responden sebelum dilakukan stretching skala nyeri minimum 2, nilai maksimum 4, dengan rata-rata skala nyeri 2,81±0,544. Hasil penelitian setelah dilakukan stretching Skala nyeri minimum 1, nilai maksimum 4 dengan rata-rata skala nyeri 1,75 ± 0,775. Hasil analisa Bivariat yang digunakan yaitu dengan uji Wilcoxon P value=0,0010,05. Simpulan, stretching berpengaruh untuk mengurangi nyeri akibat latihan intensitas tinggi pada lower body. Implikasi dari penelitian ini menunjukkan bahwa stretching efektif dalam mengurangi nyeri setelah latihan intensitas tinggi pada lower body, yang penting untuk pemulihan otot dan menjaga performa atlet. Disarankan agar stretching dimasukkan dalam rutinitas latihan untuk meminimalkan nyeri dan cedera. Penelitian lebih lanjut diperlukan untuk memperkuat temuan ini pada populasi yang lebih luas.
HUBUNGAN KELINCAHAN DAN KOORDINASI TERHADAP KEMAMPUAN DRIBBLE BOLA BASKET
Authors: Wulandari Ayu Indah , Wicaksono Anggit , Karjadi Moch Senoadji
Published: August 2024

Teknik dasar dribble sering digunakan pada proses latihan dan kompetisi pada bola basket. kelincahan serta koordinasi merupakan bagian penting yang mempengaruhi teknik dasar dribble. Tujuan penelitian ini adalah untuk mengetahui hubungan kelincahan dan koordinasi terhadap kemampuan dribble siswa Sekolah Menengah Atas (SMA) Negeri 14 Semarang. Studi ini menggunakan analisis data deskriptif dan korelasi. Populasi pada penelitian ini adalah siswa ekrakurikuler bola basket berjumlah 12 orang siswa. Instrumen tes yang digunakan pada penelitian ini adalah kelincahan di ukur menggunakan tes Shuttle Run dan koordinasi diukur menggunakan tes lempar tangkap bola tenis. Hasil penelitian menunjukan terdapat hubungan antara Shuttle Run terhadap kemampuan dribble dan tidak terdapat hubungan antara Lempar tangkap bola terhadap kemampuan dribble. Selain itu terdapat pengaruh shuttle run dan Lempar tangkap bola tenis secara simultan terhadap dribble. Sehingga dapat dikatakan bahwa kelincahan berpengaruh signifikan terhadap kemampuan dribble siswa, sedangkan koordinasi tidak. Oleh karena itu, program latihan yang fokus pada peningkatan kelincahan direkomendasikan untuk meningkatkan kemampuan dribble siswa dalam bermain Bola basket.
Pengelompakan Hasil Survei Merdeka Belajar Kampus Merdeka Di Universitas Bhayangkara Jakarta Raya Menggunakan Kmean Dan K-Medoids Clustering
Authors: Mayadi Mayadi , Priatna Wowon , Setiawati Siti
Published: August 2024

The goal of this study is to categorize the findings of a survey on the application of the MBKM policy that DIKTI performed via universities that had been awarded research funding. The survey results have not been categorized, making it difficult for the institution to determine if the MBKM policy has been implemented in accordance with the MBKM standards released by the Higher Education. The K-Mean and K-Medoids Algorithms are used in this study technique to solve data grouping issues and validate clustering outcomes using the Davies-Bouldin Index (DBI). 400 data points total were processed from 16 variables in this investigation. The findings of this investigation were tested using several clusters. After analyzing clusters using DBI, the K-Mean algorithm discovered that cluster 5 had K-Medoids of 0.9 and a value of 0.823. Therefore, it is advised to employ 5 clusters with the K-Mean Algorithm for grouping data from the MBKM survey findings.
Optimasi Parameter Support Vector Machine dengan Algoritma Genetika Untuk Penilaian Resiko Kredit
Authors: Nugroho Agung , Widiyatmoko Arif Tri
Published: August 2024

The aim of this study is to optimize the parameters of a Support Vector Machine (SVM) using a genetic algorithm for credit risk assessment. Consumer credit data from a bank is used in this research. The results show that the SVM with parameters optimized using a genetic algorithm provides better classification performance compared to the SVM with default parameters. In addition, the genetic algorithm can also quickly and efficiently optimize SVM parameters. In conclusion, the genetic algorithm can be used to optimize SVM parameters for credit risk assessment
Keywords: Support Vector Machine (SVM), Parameter optimization, Genetic algorithm, Credit risk assessment, Classification performance
Pengaruh Penggunaan Teknologi Kecerdasan Buatan bagi Pembelajaran Mahasiswa
Authors: Aisyah Siti Nur
Published: August 2024

The use of artificial intelligence (AI) technology at a time when the educational paradigm is changing serves as the driving force behind this study. This study aims to assess how AI adoption affects higher education students' learning. The research examines literature on the application of AI in higher education in order to accomplish this aim. The findings demonstrate that the application of AI technology has the potential to improve the efficacy of learning through the personalization of the learning process, the development of students' future-ready abilities, and the creation of a more flexible learning environment. Thus, AI in higher education creates a wealth of chances for creative thinking in the classroom. However, in order to combine technology with fundamental educational concepts, ethical concerns and accountability are necessary.
Strategi Pengelolaan Limbah Infus Infeksius di Rumah Sakit Umum Daerah (RSUD) H. Abdul Manap Kota Jambi
Authors: Alfarizky Agung , Yanova Shally , Viareco Hariestya
Published: August 2024

Hospitals are one of the places that produce waste, one of which is infectious medical waste. Infectious waste is an object that is then categorised as waste after contact with pathogenic organisms that have the potential to transmit disease to humans. Hospital waste management is needed for the comfort and cleanliness of the hospital environment, because it can prevent health problems. The first objective of this study was to evaluate the suitability of infectious medical waste management at the Regional General Hospital (RSUD) H. Abdul Manap Jambi City with the Regulation of the Minister of Health of the Republic of Indonesia Number 7 of 2019 concerning Hospital Environmental Health which regulates all forms of activities and health in the hospital environment. The second objective was to determine infectious medical waste management strategies using the SWOT analysis method to determine the strengths, weaknesses, opportunities, and threats that exist, so that strategies can be determined to optimise the management of infectious medical waste. The results of the research obtained are that there are several stages in the management of infectious medical waste that are not in accordance with the Regulation of the Minister of Health of the Republic of Indonesia Number 7 of 2019. Then, based on the results of the SWOT analysis, it is known that the IFAS and EFAS values for infectious medical waste management at RSUD H. Abdul Manap Jambi City are in quadrant I, which explains that the strategy that must be used to optimise medical waste management is the S-O strategy. The S-O strategy is a strategy that relies on strengths and opportunities, so the implementation of this S-O strategy is structured based on the strengths and opportunities possessed by the H. Abdul Manap Hospital Jambi City in carrying out infectious medical waste management.