bluuebunny/crossref_metadata_2025 huggingface dataset:
FAKTOR-FAKTOR YANG MEMPENGARUHI HARGA SAHAM PERUSAHAAN TEKSTIL DAN GARMEN DI BURSA EFEK INDONESIA
Authors: Kartika Mira , Tahwin Muhammad
Published: December 2024

The research aims to prove and analyze the influence of current ratio, return on asset, debt to equity and earning per share towards share prices in textile and garment company listed in Indonesia Stock Exchange.  The population of the research is textile and garment factories listed in Indonesia Stock Exchange in 2013 – 2017 periods. Technique selection sample used is purposive sample. Data analyzes method used is multiple linier regression analyzes. The research result shows that current ratio has insignificant negative effect towards share price. Return to asset ratio has insignificant positive effect towards share price. Debt to equity ratio has significant negative effect towards share price.  Earning per share has significant positive effect towards share price. Determination test result shows that variable current ratio, return on asset, debt to equity and earning to share are able to explain of 63,1% share price, while 36,9%  of the remaining is explained by other factors that are not included  in this research model.
PENGARUH JOB SATISFACTION DAN PERCEIVED EASE OF MOVEMENT TERHADAP TURNOVER INTENTIONS PERAWAT
Authors: Kuntardina Ari
Published: December 2024

Nurses have a big role in patient care and the sustainability of a hospital. The lack of nurses affects public health services. Adequacy in the number and quality of nurses must be considered. The purpose of this study is to examine and analyze the effect of Job Satisfaction and Perceived Ease of Movement on Turnover Intentions. This research was conducted at a Class D hospital. The population was 55 nurses. The sampling technique used is saturation sampling. Data collection through questionnaires and data analysis in hypothesis testing using Pearson Product Moment Correlation Technique. The analysis shows that the Perceived Ease of Movement and Job Satisfaction affect nurses' turnover intentions. The results of this study are expected to provide input for hospital management in improving nurse Job Satisfaction in an effort to reduce nurse turnover intentions.
FAKTOR-FAKTOR YANG MEMPENGARUHI PROFITABILITAS PERUSAHAAN MAKANAN DAN MINUMAN DI BURSA EFEK INDONESIA
Authors: Nurfidha Ulifah , Tahwin Muhammad
Published: December 2024

The Research is carried out to prove the influences of working capital, liquidity, activity ratio, the level of the companies and the sales’ growth toward the profitability in food and beverage companies registered in Indonesia Stock Exchange. The population of the research is all the food and beverage companies registered in Indonesian Stock Exchange. The sampling technique used is purposive sampling. Data analyzing technique used is multiple linier regression analysis. The research result proves that the working capital gives negative influence not significant toward the profitability. Liquidity, ratio of activities, sales’ growth has positive influence toward profitability. While the independent variable ability of the regression model explains that dependent variable is 68,8%, while 31,2 % is explained by other variable that is not observed in this research.
PELUANG MAHASISWA DALAM DUNIA KERJA DITINJAU DARI ASPEK KOMPETENSI
Authors: Rinawati Tri , Niati Asih , Ariefiantoro Teguh
Published: December 2024

The research objective is to determine the absorption of labor in terms of competencyaspects and to determine the relevance of the world of education in terms of competence withthe world of work. This type of research is qualitative. The sampling of data sources was done bypurposive and snowball. Data collection techniques by using triangulation (combined). The dataanalysis is inductive or qualitative in nature and the research results emphasize meaning ratherthan generalization. Students opportunities in the world of work in terms of competence are verylow, this can be shown based on data on the increase in the number of the workforce which isnot accompanied by an increase in the labor force participation rate. It is hoped that theAcademics will open an entrepreneurship-based curriculum where every student is expected tohave the ability and potential to become an entrepreneurial spirit. The relevance of the world ofeducation in terms of competence with the world of work is still low even though public access tohigher education continues to increase. This is reflected in the low labor absorption of collegegraduates. The relevance of college graduates to the need for labor is an important factor inefforts to prevent unemployed graduates, in this case it is necessary to determine strategicpolicies and superior programs in order to realize quality higher education.
ANALISIS SWOT PERJANJIAN PERDAGANGAN INDONESIA – CHILE CEPA
Authors: Al Nafi Faliq Hukma , Nurcahyo Marsanto Adi
Published: December 2024

Indonesia Chile-CEPA agreement has been entry-into-force since August 2019. Trade between Indonesiaand Chile has alternated surpluses and deficits during the 2015-2020 periods. This study will analyzehow the internal and external factors of the trade cooperation between Indonesia and Chile are. Thispaper reveals strategies that Indonesia can use in trade based on a SWOT analysis. This research waswritten using descriptive method with qualitative approach. Data collection techniques were carried outby interview. The results of the interview are used as a SWOT matrix. The results of this study indicatethat Indonesia's internal and external conditions support the cooperation with Chile. The internalfactors on this research are the condition of economy, trade commodities, size of the Indonesianpopulation, scope of the agreement, and level of trade between Indonesia and Chile. The externalfactors based on this research are the potential for tariff reduction in trade, expansion of Indonesianmarket in South America through Chile, opening of investment and trade opportunities, economic andpolitical conditions in South America, and geographic conditions of Indonesia and Chile. The results ofthe SWOT analysis show that Indonesia can use various strategies in trade with Chile.
ANALISIS PRODUK UNGGULAN DAERAH KOTA SALATIGA TAHUN 2020
Authors: Nur H Teguh Pamuji Tri , Solikhatun Is
Published: December 2024

This research were aims to see what commodities can become regional superiors in SalatigaRegency, so that they are able to make a high contribution to the economy of Salatiga Regency. Itis hoped that by knowing the superior potential, the right policies for regional economicdevelopment can be identified based on regional potentials. The results of this study, whichbecame the leading commodities were: enting gepuk, lung chips, brown rice and black rice drinks,upcycle tire crafts, D-9 cassava cheese, Plumpungan Batik, Selotigo Batik, handicrafts from flour(clay), and education station.
PENGARUH LITERASI KEUANGAN TERHADAP KINERJA USAHA PADA UMKM BATIK JUMPUTAN DI KELURAHAN TAHUNAN
Authors: Cahya Agus Dwi , Sari Novita , Juliani Titi
Published: December 2024

The SMEs sector is one of the economic drivers, but there are many unresolved issues in its current development, one of which is related to financial sector. This research aims to investigate the influence of financial literacy toward the performance of UMKM Batik Jumputan in Tahunan, Yogyakarta. The use sample of this research is 6 respondent of UMKM Batik Jumputan in Tahunan. Data are collected using questionnaire. Prerequisite test analysis include validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, and autocorrelation test. Methods of data analysis using simple linear regression. The result of the analysis shows that financial literacy has no significant affect on the performance of UMKM Batik Jumputan in Tahunan. While the independent variable ability of the regression model explains that dependent variable is 57,7%, while 42,3 % is explained by other variable that is not observed in this research.Key words: Financial Literacy, SMEs Performance
PENGARUH LINGKUNGAN KERJA DAN KEPUASAN KERJA TERHADAP TURNOVER INTENTION KARYAWAN (Studi Kasus pada UMKM Coffeshop Kopi Sembilan Di Kecamatan Mlati Kabupaten Sleman Provinsi Yogyakarta)
Authors: Cahya Agus Dwi , Febriana Hanifa Dewi , Purnomo Wisnu , Erasdio Rafael
Published: December 2024

Tujuan penelitian ini adalah untuk mengetahui pengaruh lingkungan kerja dan kepuasan kerja terhadap turnover intention pada karyawan di coffeshop Kopi Sembilan Di Kecamatan Mlati Kabupaten Sleman Provinsi Yogyakarta. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kuantitatif. Data yang diolah merupakan data primer, data primer diperoleh dari angket dengan 9 responden dengan menggunakan sampel jenuh dimana seluruh populasi menjadi sampel. Subyek penelitian ini adalah karyawan di coffeshop Kopi Sembilan Di Kecamatan Mlati Kabupaten Sleman Provinsi Yogyakarta. Data yang diperoleh kemudian dianalisis menggunakan analisis linear berganda. Hasil penelitian pada uji t menunjukkan variabel lingkungan kerja (X1) tidak berpengaruh signifikan terhadap turnover intention (Y) dengan nilai sebesar 0,161, dan variabel kepuasan kerja (X2) berpengaruh positive dan signifikan terhadap turnover intention (Y) dengan nilai sebesar 0,000. Pada hasil uji F lingkungan kerja dan kepuasan kerja secara simultan berpengaruh terhadap turnover intention yang ditunjukan dengan nilai signifikasi 0,000.
PENGARUH BUDAYA KERJA DAN MOTIVASI TERHADAP KINERJA PEGAWAI KANTOR KECAMATAN SLUKE KABUPATEN REMBANG
Authors: Kusumaningsih Novi , Tahwin Muhammad
Published: December 2024

Performance improvement for both individuals and groups becomes the center of attention in a effort to improve organizational performance both in quantity and quality. This research was conducted on employees of Sluke District, Rembang Regency. The methode used to determine the sample is non-probability sampling with saturated sampling technique, namely examining the entire population of 27 employess. Data was collected by means of questionnaires, interviews and observations. The data processing technique used SPSS 21, the fisrt step is so test the isntrument from the quetionnaire through validity test, reliability test, multiple regression test and determinations test. The result showed that: (1) work culture has a positive and significant effect on employee performance; (2) motivations has a positive and significant effect on employee performance; (3) work culture and motivation simultaneously have a positive and significant effect on employee performance.
Implementation Of Weighted Aggregated Sum Product Assessment (Waspas) Method In Determining English Language Learning Levels At Vanka Speaking Course Sumbawa
Authors: Andini Virna Febri , Julkarnain M. , Yuliadi Yuliadi
Published: December 2024

English is an international language that plays a crucial role in global communication. English is very influential in aspects of life, ranging from the work sector to the education sector. Vanka Speaking Course Sumbawa is one of the course institutions in Sumbawa Regency that accepts participants from various levels, namely elementary to junior high school, with multiple levels and six levels of learning. Currently, Vanka Speaking Course Sumbawa has seven tutors with 142 students divided into 13 regular classes (117 people) and 12 private classes (25 people). In a language course like this, determining the student's learning level is a critical initial stage. This allows teachers to design learning programs with suitable modules and materials to meet the needs of each student. The course party still needs help determining the initial stage and learning level that suits the student's abilities. This study aims to apply the Weighted Aggregated Sum Product Assessment (WASPAS) Method in determining the level of English learning by selecting alternatives based on specific criteria. The development method designs the system using Rapid Application Development (RAD), PHP programming language, Laravel framework, MySQL database, and Unified Modeling Language (UML). After being built and tested using black box testing, this application can be run properly and help Vanka Speaking Course Sumbawa make decisions related to determining the level of English learning. The results of this study can improve the accuracy of assessment in determining the level of English learning in students and ultimately further improve the quality of learning at the Vanka Speaking Course.
Designing the User Interface for the Virtual Tour Selayar System using Figma
Authors: Mustika Nur , Mirfan Mirfan , Abdul Kadir Parewe Andi Maulidinnawati , Layuk Tika Tandi
Published: December 2024

This study aims to design the user interface for the Virtual Tour Selayar system using the Figma application. The system is expected to provide an interactive and informative virtual tour experience for users who wish to explore the beauty of Selayar Regency digitally. The design process employs the Design Thinking method, which consists of five main stages: understanding user needs (Empathy), defining the problem to be solved (Define), generating various ideas for potential solutions (Ideate), creating a simple version or initial model (Prototype), and testing the prototype (Tes). The Empathy stage involves observations and interviews to understand users' desires and needs concerning the virtual tour system. Next, the Define stage formulates the primary problem that the system needs to address. In the Ideate stage, various interface ideas and concepts are generated through brainstorming sessions. Subsequently, the Prototype stage produces the initial version of the interface, developed in both low fidelity and high fidelity forms using Figma. The final stage, Testing, is conducted by involving actual users to test the created prototypes. Feedback obtained from users is utilized to refine the interface, ensuring it aligns with their expectations and needs. The outcome of this research is a user interface prototype that has been tested and refined based on feedback, which is anticipated to enhance the user experience when using the Virtual Tour Selayar system effectively and satisfactorily.
Effect of Connection Losses on Fiber To The Building (FTTB) Network Activation
Authors: Nasrul Nasrul , Maria Popy , Zahra Nurraudya Tuz , Gusmiati Yosi
Published: December 2024

The Fiber To The Building (FTTB) technology uses fiber optic cables for high-speed data transmission in high-rise office buildings. However, connection loss in fiber optic cables, especially during network activation, can significantly affect the overall performance and reliability of the FTTB network. This study investigates the effects of connection loss on total attenuation in FTTB networks before and after activation, using Passive Optical Network (PON) technology. Simulations were performed on three subscriber scenarios with different treatments of drop core cables (no connection, one connection, two connections) and patch cord cables of different lengths (3m, 5m, 10m), each with additional variations in the number of connections. Attenuation measurements were taken before and after network activation, showing that increasing cable length and splices leads to higher attenuation and reduced network performance. For example, customer 1 with no connections had the lowest attenuation before activation of 19.68 dB and after activation of 19.57 dB with signal quality (ping ONU 11 ms, ping OLT 9 ms, and ping Google 31 ms) while customer 3 with the most connections had attenuation values before activation of 20.92 dB and after activation of 20.87 dB with signal quality (ping ONU 29 ms, ping OLT 28 ms, and ping Google 70 ms). This research emphasises the importance of link management and the length of cable used to minimize attenuation and ensure optimal network performance.
Application of Ant Colony Optimization Algorithm in Determining PID Parameters in AC Motor Control
Authors: Rahman Farhan Wahyu Nur , Setiawan Edy , Juniani Anda Iviana , Nugraha Anggara Trisna
Published: December 2024

Application of Ant Colony Optimization (ACO) Algorithm in determining PID (Proportional-Integral-Derivative) parameters to optimize AC motor control through simulation using MATLAB. AC motors are a critical component in a wide range of industrial applications requiring efficient control to ensure optimal stability and response. This research focuses on optimizing the motor's RPM control by fine-tuning PID parameters using the ACO algorithm. Precise RPM control is crucial for maintaining performance in dynamic industrial environments. The ACO algorithm is used to optimize the PID parameter by referring to the objective function of Integral Time Absolute Error (ITAE). The optimization results show that this algorithm can achieve optimal convergence in the 33rd iteration with a fitness value of 6269. The optimal PID parameters obtained were Kp of 164.98, Ki of 23.47, and Kd of 10.51. The simulation of the AC motor control system shows a significant improvement in performance compared to the Trial-and-Error method. The simulation results demonstrate that ACO reduces steady-state errors by up to 9%, while Trial-and-Error reaches 25%. The settling time is also faster with ACO, which is 0.7 seconds, compared to the Trial-and-Error method which takes longer. The use of the ACO method in PID tuning has been proven to be more efficient and accurate than conventional approaches, thus improving the RPM stability and response of the AC motor control system. This study concludes that the integration between ACO and PID can be the optimal solution in automated control applications in industries that require responsive and stable motor RPM control.
Implementation of EVE-NG in Increasing the Effectiveness of Project-Based Learning in the Network Computer Engineering Technology Study Program
Authors: Utomo Hendrik Setyo , Sholeha Eka Wahyu , Supriyanto Arif , Rusmana Deni , Majid Al
Published: December 2024

The increasing demand for practical skills in computer networks has made hands-on learning a crucial element in information technology education. This study focuses on evaluating the usability of EVE-NG, a network simulation platform, to optimize project-based learning for students in the Computer Engineering and Network Program (TRKJ) at Politeknik Negeri Tanah Laut. The students, in their third semester, were selected as respondents, as they were enrolled in the Computer Networks 3 course, which is relevant to the practical use of EVE-NG. A usability analysis was conducted using five key indicators: Learnability, Memorability, Efficiency, Errors, and Satisfaction, assessed through questionnaires.
The findings revealed that EVE-NG performs adequately across all indicators, with average scores ranging from 2.82 to 3.04, indicating good usability overall. Learnability and Memorability were rated as "good," though some users reported challenges in adapting to certain interface elements. Efficiency was rated "fair," with some feedback highlighting the need to improve workflow speed. The Errors indicator showed relatively low user mistakes, suggesting that the system is generally intuitive, although some interface ambiguities remain. Satisfaction received the highest score, reflecting user contentment with the platform, though improvements in system speed and interface clarity were suggested.
The results provide essential insights into the current usability of EVE-NG and offer recommendations for further enhancements. With targeted improvements, EVE-NG can offer a more efficient and user-friendly experience, better supporting practical, real-world network simulation tasks in educational settings.
Analysis of Public Opinion Sentiment towards the 2024 Presidential Election Based on Clustering Method with K-Means Algorithm
Authors: Harahap Mhd Anshor , Ikhsan Muhammad
Published: December 2024

The presence of social media, such as Twitter, Facebook and Instagram, provides a space for people to express their opinions freely and openly. Various sentiments, ranging from support to criticism of the candidates, work programs, and other political issues, have emerged along with the increasing public enthusiasm. Therefore, it is important to understand how public opinion is evolving and what is the main focus of public attention in the 2024 presidential election. The purpose of this research is to analyze the sentiment and views of the public about the presidential election using the Clustering approach and the K-Means method and to classify public opinion for various interests as well as optimizing social media information for the public interest. Based on the research conducted, the K-Means algorithm was successfully applied for sentiment analysis of public opinion on the 2024 presidential election, using tweet data taken through crawling Twitter as many as 220 tweets. From the dataset, 5 tweets were used for manual implementation of the K-Means algorithm calculation, through a series of pre-processing processes, including TF-IDF weighting. After the manual K-Means calculation, from 29 words generated from TF-IDF, the following clustering results were obtained: Cluster 0 (positive) contains 5 words, Cluster 1 (neutral) contains 18 words, and Cluster 2 (negative) contains 6 words. These results show that the K-Means algorithm can effectively cluster sentiment in public opinion data related to the 2024 presidential election based on patterns found in the words in the tweets.
Intelligent Infrastructure for Urban Transportation: The Role of Artificial Intelligence in Predictive Maintenance
Authors: Alqasi Mohammed Ali Younus , Alkelanie Youssif Ahmed Mohamed , Alnagrat Ahmed Jamah Ahmed
Published: December 2024

Urban transportation infrastructure, encompassing roads, bridges, and tunnels, is vital for city mobility but remains vulnerable to wear and damage over time. Traditional maintenance methods, which rely on reactive repairs and scheduled inspections, often fall short in preventing sudden failures, resulting in costly disruptions and safety risks. This study examines how artificial intelligence (AI) is revolutionizing infrastructure management through predictive maintenance. By deploying smart sensors and utilizing predictive analytics, AI enables the continuous monitoring of structural health and the proactive identification of potential issues before they escalate into serious failures. The research develops and tests an AI-based predictive maintenance model, which analyzes real-time data from embedded sensors in urban infrastructure to detect anomalies and predict failure patterns. Results indicate that the predictive maintenance model can enhance response times, reduce maintenance costs by 30%, and prevent approximately 92% of unexpected failures. These findings underscore the potential of AI-driven approaches to reduce unplanned disruptions, optimize resource allocation, and extend infrastructure lifespan, ultimately creating safer and more sustainable urban transportation systems. However, challenges in data variability and environmental interference are noted, suggesting areas for future refinement. This study provides a framework for integrating AI in urban infrastructure maintenance, highlighting its potential to transform how cities approach long-term infrastructure health and reliability.
Learning in Immersive Virtual Worlds from the Perspective of Media Didactics
Authors: Salem Asma Al Mokhtar Miftah Alhaj , Alfaqi Rawad Mansour Abdulhafith , Alnagrat Ahmed Jamah Ahmed
Published: December 2024

Virtual Reality (VR) technologies are increasingly recognized for their potential to enrich educational settings, yet their integration often emphasizes technological novelty over pedagogical effectiveness. In the domain of media didactics, VR’s value lies not only in its immersive and interactive capabilities but also in its capacity to fulfill specific educational objectives through structured engagement. This study explores the role of immersive VR environments in supporting educational activities by aligning VR’s affordances—such as realism, interactivity, and user engagement—with established didactic principles. The primary objective is to provide a framework that encourages educators to implement VR in ways that are pedagogically sound, thereby enhancing learner engagement and skill acquisition. Using a qualitative approach, the study synthesizes recent literature and analyzes case studies within four key VR applications: training environments, construction tools, exploration experiences, and experimental simulations. Results indicate that VR significantly contributes to experiential learning across these domains, with applications including skill-based training in virtual workshops, exploratory learning through virtual field trips, and controlled experimentation that supports hypothesis testing in virtual worlds. The study concludes that VR holds transformative potential for education; however, its impact is maximized when embedded within a purposeful didactic framework. By aligning VR applications with clear educational goals, VR can foster cognitive and emotional engagement, improving learning outcomes across diverse disciplines.
Enhancing Transaction Smoothness with QRIS Technology: The Role of DIGI by Bank BJB in Optimizing Customer Experience at the Banjar Branch
Authors: Faizal Riza , Marlina Lina , Setiawan Ati S
Published: December 2024

The implementation of the Quick Response Code Indonesian Standard (QRIS) in the DIGI by bank bjb application faces challenges in enhancing the transaction flow for customers at the Banjar Branch. The primary issue is the demand for ease, speed, and efficiency in digital transactions, while aspects such as promotions and QRIS scanning capability across various merchants remain suboptimal. This study aims to examine the impact of QRIS usage within the DIGI application on the transaction flow for bank bjb customers. A quantitative research method with an explanatory survey approach was employed, involving 100 respondents who are bank bjb customers in the Banjar area. Data was collected using a Likert-scale questionnaire and analyzed using simple linear regression. The results indicate a significant positive influence of QRIS usage on transaction flow, with a t-value that demonstrates a strong correlation. The average customer satisfaction score indicated a “Very Good” criterion. These findings imply that the QRIS feature in the DIGI by bank bjb application can enhance customer transaction experiences; however, the bank needs to improve promotional features and expand QRIS scanning capabilities to further increase customer satisfaction and the competitiveness of its digital services.
Predictive Models for Interest Rate Forecasting Using Machine Learning: A Comparative Analysis and Practical Application
Authors: Salem Abdorwf  A   Mohamed , Albourawi Amaal  Jummah  Abdullah
Published: December 2024

Forecasting interest rates is a fundamental task in financial planning, investment strategies, and policy-making. Traditional statistical models, while widely used, often fail to adequately capture complex non-linear relationships and temporal dependencies inherent in financial data. This study addresses these limitations by exploring the potential of machine learning models to improve the accuracy and reliability of interest rate forecasts. The primary objective of this research is to evaluate and compare the performance of multiple machine learning models, including linear regression, support vector machines, and deep learning techniques, in predicting interest rate trends. Historical data spanning two decades was collected and preprocessed, ensuring data quality and consistency. The models were trained and tested on this dataset using well-defined evaluation metrics such as mean absolute error and root mean squared error to ensure robust performance assessments. The results revealed that machine learning approaches, particularly deep learning models, outperformed traditional methods in capturing complex patterns and delivering more accurate forecasts. The findings further discuss the practical implications of implementing machine learning techniques in real-world financial contexts, highlighting both opportunities and challenges. In conclusion, this study provides actionable insights and a robust framework for integrating machine learning into interest rate forecasting, contributing to the advancement of predictive modeling in finance.
AI Implementation in Knowledge Management for Online News Media Case Study: GOnews.id
Authors: Mundzir Ahmad , Purnama Diki Gita , Mayasari Iin
Published: December 2024

This study examines the role of artificial intelligence (AI) in enhancing knowledge management in the online news media industry, with a focus on GOnews.id as a case study. The industry faces unique challenges, including real-time information delivery and collaboration among dispersed teams. This research evaluates the impact of AI in addressing these challenges, improving operational efficiency, and enhancing content quality. Using qualitative methods, including in-depth interviews and document analysis, the study applied a thematic approach with NVivo 12 software. The findings reveal that AI facilitates faster information access, supports team collaboration, and maintains journalistic standards through automated editing tools. However, limitations such as high infrastructure costs, employee resistance, and AI's inability to fully grasp local contexts present challenges to its implementation. The study emphasizes the importance of using AI as a supportive tool rather than replacing human creativity and judgment. Key implications include AI's potential to enhance organizational competitiveness and responsiveness to audience trends. Recommendations include investing in robust infrastructure, providing employee training, and ensuring human oversight to balance technological efficiency with editorial nuance. By addressing these issues, the study provides valuable insights for media organizations seeking to optimize knowledge management strategies and offers a framework for leveraging AI to meet the demands of modern digital journalism.
Implementation of Business Intelligence In Planet Helmet Cilacap Sales
Authors: Setiani Ginanjar Rizqi , Verry Verry , Abdul Aziz Zein Mochamad Taufiqurrochman
Published: December 2024

Helmets are used to anticipate serious injuries when traffic accidents occur. In several cities and villages, various helmet businesses have begun to emerge. The increasing number of residents and motorized vehicles in Indonesia provides business opportunities in the helmet business. The increasingly competitive business market challenges companies to be able to adapt to changing market conditions and diverse buyer needs. For this reason, companies must be able to respond quickly and accurately, consider the costs incurred to remain conducive, and have a strategy in decision-making that can provide solutions to changes in the current market situation to survive in the long term. Therefore, companies must be able to respond quickly and accurately, consider the costs incurred to remain conducive, and have a strategy in decision-making so that companies can survive in the long term. The implementation of business intelligence in this study uses the Online Analytical Processing (OLAP) method, namely the use of Extraction Transformation Loading (ETL), creating a data warehouse, analyzing data for users and user interfaces in the form of information visualization using the Laravel framework. Planet Helm currently needs to manage its sales data visualization digitally. This is an obstacle for leaders in managing inventory needs, and helmet sales are less effective and efficient, requiring the digitalization of web-based business intelligence management. The results of this study are in the form of a dashboard display consisting of a minimum of 7 stock widgets, average monthly sales, popular brand graphs, and monthly sales graphs.
Immunobiological indicators for cat -leukemia of cats
Authors: Bulakovskaya O.A.
Published: December 2024

The article presents data from the world and the Russian Federation on the etiological structure of retroviral infection of cats on the example of feline viral leukemia (VLK), the dynamics of morbidity. Methods of research of immunobiological parameters in FeLV (Feline leukemia virus) infection of cats, changes in the morphological composition of blood, the method of primary indication of the virus – immunochromatographic research method (IHA) widely used in clinical veterinary practice, general and specific methods of prevention of FeLV infection.
Production of inactivated vaccine against avian pasteurellosis using different adjuvants
Authors: Pankratov S.V.
Published: December 2024

Adjuvants have been used for decades to improve the immune response to vaccine antigens. The inclusion of adjuvants in vaccines is aimed at enhancing and prolonging the specific immune response to the desired level.
The article presents the results of testing an inactivated vaccine against avian pas-teurellosis made on the basis of adjuvants of various types
The use of Randox Biochip technology in the monitoring of antimicrobial substances in animal products
Authors: Goryainova G.M. , Arsenieva L.V. , Denisova E.A. , Markova E.V.
Published: December 2024

The article highlights the problem of identifying residual amounts of antimicrobial substances in dairy products. The widespread use of drugs in veterinary medicine and livestock creates certain problems associated with the possible pollution of raw materials and products with the residual amounts of these substances, in the case of non -observance of veterinary rules and norms. On this basis, it is necessary to control the content of drugs in livestock products.
Currently, in Russia, microbiological and physico-chemical methods for determin-ing antibacterial substances are used.
One of the innovative areas in this area is methods based on nanobiotics and, in particular, the immunominomicoCHip method.
Analytical review and characteristic of methods for diagnosing passive immunity transmission violations in newborn calves
Authors: Fedorov Yu.N. , Bogomolova O.A. , Tsarkova K.N. , Konkina S.V. , Kochetova L.N.
Published: December 2024

Synepitheliochorial structure nature of the bovine placenta prevents passage of maternal immunoglobulin to foetus in utero and the calves is therefore born without serum plasma immunoglobulins. The newborn calves must acquire maternal immunoglobulin from colostrum for passive humoral immune protection until the immune system of the calves becomes fully developed. The definition of FPT is based on measurement of concentrations of IgG in serum of neonatal calves after colostrum intake. The gold standard method for measurement of concentrations of IgG is radial immunodiffusion. However its cost, requirements for laboratory equipment, and the time taken to obtain results have meant that alternative tests have been developed. The transfer of passive immunity from cows to calves needs to be routinely assessed on field (on farms) and in scientific research. The objective of this review is to analyze the evaluation methods available for the laboratory estimate of immune status and field diagnosis transfer of passive immunity in calves, and its failure, discuss the positive and negative aspects of each technique. This review summaries pertinent findings about of diagnostic methods of failure transfer of passive immunity in newborn foals from work published in a variety research journals.
The effect of a new muscle relaxant on the functional state of the liver of white rats
Authors: Yamalova G.R. , Khalikova K.F. , Malanev A.V. , Mishina N.N. , Aslanov R.M. , Zamaletdinova A.I. , Aleev D.V.
Published: December 2024

This article presents the results of studying the effect of a new muscle relaxant on the functional state of the liver. Vital key diagnostic procedures for detecting possible liver pathologies include the study of blood biochemical parameters (liver samples), during autopsy of laboratory animals, it is advisable to conduct a pathomorphological (histological) study for a more detailed identification of the pathological process at the tissue level. The results of the studies showed that the use of a new muscle relaxant at a therapeutic dose, with intramuscular administration, does not have a negative effect on the liver of animals, which is confirmed by biochemical and pathomorphological (histological) studies.
Design of an application for recording the operational characteristics of equine immune serum producers
Authors: Generalov S.V. , Shamin I.V. , Svintsov R.A. , Ivanyatov E.Y.u. , Razzhivin A.V. , Abramova E.G. , Ovchinnikova M.V.
Published: December 2024

The article is devoted to the development of a software system for managing data used to work with producer horses used in the production of therapeutic, prophylactic and diagnostic drugs. The use of the Python language and the Django framework in developing such programs is substantiated. A database structure has been developed that takes into account the specifics of the operation of producer horses. The advantage of using the designed application in relation to storing, accessing and processing the necessary information is shown.
Varietal composition and nutritional value of beef depending on the feed factor
Authors: Tagirov Kh.Kh. , Gaysina R.A. , Zubairova L.A.
Published: December 2024

The article presents materials on the study of the varietal composition and nutritional value of meat of Holsteinized black-and-white bulls when feeding them new feed additives.
Application of 3R principles in testing recombinant vaccines
Authors: Vasiliev S.A. , Matveeva I.N. , Kruglova M.I.
Published: December 2024

The article discusses the main provisions and principles of the 3R concept, which regulates the main provisions and approaches to working with laboratory animals.
The concept itself consists of 3 areas: Replacement of animals in the experiment with other models, reduction of the use of animal objects by optimizing experimental conditions and improvement of existing methods aimed at reducing pain and stress of laboratory animals during experiments.
A number of provisions of the 3R concept are subject to criticism. Different stakeholders (for example, animal experimenters, representatives of institutions, politi-cians, activists and the public) can interpret 3R differently.
The use of the 3R concept in laboratory practice allows regulating work with la-boratory animals, improves the organization of experiments, which in combination will significantly improve the quality of the vaccines being developed in the future.
History of development of culture inactivated anti-rabies vaccines from rabies virus. strain "Shchelkovo-51"
Authors: Pukhova N.M. , Ivanov I.V.
Published: December 2024

The article describes the main technical solutions used in the development of domestic cultural inactivated anti-rabies vaccines from the whole-virion inactivated rabies virus. A scheme of targeted selection of the production strain of the rabies virus "Shchelkovo-51" and its adaptation to the cell culture BHK-21/13 is presented. The methods of stationary, roller and suspension (including pseudosuspension) cultivation of the cells and rabies virus are used. An algorithm for the strategy of production and implementation in veterinary practice of domestic competitive highly effective vaccines for the prevention of rabies in animals is developed.
The mRNA Vaccine Expressing Single and Fused Structural Proteins of Porcine Reproductive and Respiratory Syndrome Induces Strong Cellular and Humoral Immune Responses in BalB/C Mice
Authors: Zhou Luoyi Zhou , Wubshet Ashenafi Kiros , Zhang Jiangrong , Hou Shitong , Yao Kaishen , Zhao Qiuyi , Dai Junfei , Liu Yongsheng , Ding Yaozhong , Zhang Jie , Sun Yuefeng
Published: December 2024

Porcine reproductive and respiratory syndrome (PRRS) is a viral disease that causes significant economic losses. The development of a new and effective vaccine is key to the spread of the virus within the farm. Several vaccinations against PRRSV have been carried out using both traditional and alternative vaccines. Unfortunately, there is currently no vaccine that can completely stop this disease. Thus, our study aimed to develop an mRNA vaccine using antigens based on individual or fused PRRSV structural proteins. In this study, the nucleotide sequence of immunogenic mRNA was determined taking into account the antigenicity of the structural proteins and the stability of the spatial structure. Purified GP5 protein served as a reference antigen for immunological evaluation. The results obtained showed that mRNA vaccines can significantly stimulate the cellular and humoral immune response. In particular, GP5-mRNA showed an immune response similar to that of a commercially available vaccine when administered in high doses.
Characteristics of avian influenza virus isolates of subtype H7, used as antigens for the production of RTGA kits
Authors: Zhestkov P.D. , Osipova O.S. , Volkova М.А. , Chvala Ir.A. , Yaroslavtseva P.S. , Kulagina М.А. , Zinyakov N. G. , Andreychuk D.B. , Chvala I.A.
Published: December 2024

In the course of the conducted studies, the antigenic properties of four strains of the H7 subtype avian influenza virus were studied. As a result, a strain was selected that can be used as an antigen for the production of a diagnostic kit for the detection of antibodies to the H7 subtype avian influenza virus in the hemagglutination inhibition reaction.
ANÁLISE AMBIENTAL INTEGRADA, UMA FERRAMENTA VOLTADA AO MONITORAMENTO E GESTÃO DE ÁREAS URBANAS: ESTUDO DA BACIA HIDROGRÁFICA CACHOEIRINHA INVERNADA-GUARULHOS-SP
Authors: Pelisson Otair , Saviolo Osti João Alexandre , Bau Dalmas Fabrício , Nunes de Souza Luís Henrique , Vianna Mesquita Marisa , Araújo Costa Renata Cristina , Keiichi Nakazato Ricardo , Magera Conceição Marcio , Bulbovas-Hueb Patricia
Published: December 2024

O diagnóstico ambiental integrado de bacias hidrográficas baseado em técnicas de sensoriamento remoto combinando com amostragens de campo, é uma metodologia alternativa, voltada ao estudo de regiões metropolitanas que apresentam elevado processo de degradação ambiental. O objetivo do presente estudo foi avaliar de forma integrada como o uso e ocupação da terra agem sobre a poluição atmosférica e qualidade da água da Bacia Hidrográfica Cachoeirinha Invernada (BHCI), Guarulhos/SP. Técnicas de sensoriamento remoto foram utilizadas combinados com obtenção de dados secundários para poluição do ar e campanhas para avaliação da qualidade da água e validação dos dados espaciais. Variáveis foram obtidas em seis estações, espacializadas de forma a abranger diferentes usos e coletadas bimestralmente entre abril e outubro de 2024. A análise integrada a partir da matriz de correlação de Pearson e as cargas da análise fatorial demonstraram que variáveis de qualidade do ar e água estão fortemente relacionadas ao uso da terra, como cobertura vegetal e densidade populacional. A análise de Cluster indicou a formação de dois grupos: 1) maior cobertura vegetal associada com as maiores concentrações de oxigênio dissolvido; 2) maior grau de urbanização associada às maiores concentrações de dióxido de nitrogênio no ar e na água de fósforo total, sólidos totais dissolvidos, turbidez e E. coli, indicando a contaminação causada pelo lançamento de esgotos.
Animality: Animal imagery, characterization, and the articulation of difference in Victor Yankah’s dear blood
Authors: Asempasah Rogers , Saboro Emmanuel , Arthur Samuel Papa
Published: December 2024

Drawing on the literature on animality, this paper examines animal imagery or animality as a strategy of characterization and the articulation of difference in Victor Yankah‘s Dear Blood (2014). Specifically, the paper focuses on metaphors and similes that are embedded in proverbs as locations of animal imagery. It argues that animal imagery or animality is integral to how Yankah frames characterization, agency, voice, and the quest for an inclusive postcolonial society. Through the use of animal imagery or animality, Yankah recreates Sophocles‘ Ismene and Antigone within a Ghanaian sociocultural context as Panyin and Kakra. Seen from this vantage point, Dear Blood emerges as not just an adaptation, but a play with its own thoughts and modes of becoming. Overall, the paper seeks to answer two key questions: what is the dominant imagery in Yankah‘s Dear Blood? What are the ethico-aesthetic entailments of this imagery? The paper shows that animal imageries of domestication and the wild constitute the dominant means by which Yankah frames not only the different approaches of Penyin and Kakra to power, but more importantly, the possibility of woman‘s voice in the public space.
Unpacking African rhetorical theory in an African game
Authors: Coker Wincharles
Published: December 2024

African rhetoric usually stands accused of one basic charge: false equivalences. Scholars argue that the burgeoning field, for instance, heralds Afrocentricity to rival Eurocentricity. In responding to this concern, this article seeks to reimagine ways of conceptualizing African rhetoric on its own terms in order to propose an alternative concept termed as Afrifuge. Focusing on ampe, a traditional Ghanaian game, the paper demonstrates how scholars of African rhetoric can draw on unique tropes to think, speak, learn, and write about African rhetorical inventions and processes. The analysis brings to light significant rhetorical arguments when scholars closely examine the game from an Africanist perspective. These include a discovery of the laws of probability and calculus, critical thinking skills, multi-tasking, and agility. The overarching goal of the paper is to invite scholars to build a meta-theory of African rhetoric.
Language culture and the conceptualization of character in selected Yoruba proverbs
Authors: Ademola-Adeoye Feyi
Published: December 2024

This paper investigates the cultural import of proverbs in contemporary Yoruba society in Nigeria. Proverbs are short, witty, popular expressions that contain morals, truth, socio-cultural precepts and heritage of a particular group of people. Every ethnic group the world over has its set of proverbs formulated and collected over several generations. Proverbs give insights into wise living and stimulate good decisions thereby satisfying the concept of moralities in African realities. One common thread that runs through world religions and cultures is the universal affirmation of the cultivation and practice of ―good character‖. This concept, popularly known in the Yoruba milieu as ―omoluabi‖ is believed to be responsible for fundamental contributions of morality to the overall human flourishing and wholeness of Yoruba societies and people. Proverbs constitute a veritable component of ‗ways of speaking‘ among the constituents of Yoruba speech communities across age groups, as well as social and occupational categories of speakers. Using fourteen purposively selected proverbs that deal with the Yoru ba concept of ―Omoluabi‖ (good character), this paper employs a socio-cultural linguistic approach to show how the rhetorical force of the proverbs can help reveal the ills in our society and reclaim some of the virtues of ―Omoluabi‖. Findings show that Yoruba , like many other African languages, is richly endowed with proverbs emphasizing virtues such as patience, respect for elders and constituted authority, selflessness, contentment and dignity in labour , all of which can bring about cultural re-orientation if imbibed by citizens.
A novel actuarial science approach for predicting infectious diseases using computed tomography
Authors: Seetha J. , Unhelkar Bhuvan , Shankar S. Siva , Chakrabarti Tulika , Chakrabarti Prasun , Sivaneasan B. , Margala Martin
Published: December 2024

Amid the COVID-19 pandemic, early and accurate automatic detection is vital. This study presents the AVbADC Algorithm to separate lung areas impacted by COVID-19 in CT scans. Initial results show promising performance, though further improvements are needed. The refined AVbADC model emerges as a valuable tool for prompt COVID-19 case identification. Comparative analysis against existing methods provides insights into its efficacy.