bluuebunny/crossref_metadata_2025 huggingface dataset:
FEATURES OF ACCOUNTING DISPLAY OF FINISHED PRODUCTS AS A COMPONENT OF FOREST RESOURCES
Authors: DRYMANOVA LIUDMYLA
Published: September 2024

Different disciplines and branches of science (economics, ecology, sociology, etc.) have their own approaches to understanding the concept of «forest resources», which can lead to differences in its interpretation. The article analyzes approaches to understanding the essence of the main categories of forestry, in particular, «forest» and «forest resources». It is noted that the diversity of approaches in defining the concept of «forest resources» is reflected in the variability of the understanding of this definition in the context of ecological, economic, socio-cultural and other aspects. The author's definition of the category «forest resources» as an object of accounting is presented and it is determined that forest resources are part of the country’s natural resources, which include not only forest products, but also its useful properties (for example, recreation and health). The author gives the most common approaches to understanding the essence of the concept of «forest resources», including ecological, economic, socio-cultural, ecosystem and integrated. Depending on the purpose and specifics of the use of the components of forest resources, their totality is divided into several groups: raw resources of wood origin; resources of non-wood origin; resources of animal genesis; multifaceted beneficial functions of the forest. The peculiarities of forest resources as a category of accounting are determined. It has been established that forest resources are recorded as biological assets.

The assessment of the main ecological and economic indicators of the functioning of forestry in Ukraine was carried out and the conclusion was made that along with the improvement of the economic indicators of activity in the forestry sector, during the analyzed period, the deterioration of the ecological indicators of forestry activity was observed. The approaches of scientists to the classification of finished products as a component of forest resources were traced and their own classification was proposed according to the economic value and economic benefits from the use of the main and waste products, the rational use of which can provide enterprises with additional economic benefits.
INNOVATION AND INVESTMENT PROVISION OF DEVELOPMENT OF AGRARIAN SECTOR OF ECONOMY OF UKRAINE
Authors: KHAIETSKA Olha
Published: September 2024

The article analyzes the problem of investment and innovation provision of the agrarian sector of the economy of Ukraine. Our country has a significant potential for the development of the agricultural sector due to the large areas of agricultural land and favourable natural and climatic conditions. Investments in modern technologies, high-quality seeds and agrochemicals improve and maximize this potential.

The key aspects that contribute to the stimulation of investments and innovations in the country’s economy and contribute to the development of a favourable investment climate, the encouragement of innovative ideas, the study of priority areas for investments, the provision of financial support, etc. have been identified. The priority areas of investment support that will allow to ensure the development of innovation potential are highlighted and the main types of the effects from the application of innovations in the agricultural sphere are characterized.

The basic components of investment support for the competitive development of the agrarian sector of the economy are defined, which indicate various sources of investment income of private, state, and international capital. The advantages and disadvantages of sources of investment income and ensuring the competitive development of branches of the agrarian sector of the economy are given. The costs of the scientific research and development by types of work and the dynamics of the number of innovatively active enterprises by types of economic activity in Ukraine were analyzed, the share of innovatively active enterprises in the total number was determined.

The sources of financing innovative activity of enterprises of the agrarian sector of the economy of Ukraine are characterized. Innovation and investment mechanisms for ensuring socio-economic development, which affect the formation, development and effectiveness of the innovation and investment environment, are considered. The rating of the «Global Innovation Index» and the position of Ukraine in it, as well as the general principles of investment policy, are given.

It was determined that innovative and investment support for the development of the agricultural sector of economy of Ukraine is not only relevant, but also an urgent task to ensure a sustainable and successful future.
STRATEGY FOR THE IMPLEMENTATION OF DIGITAL TOOLS IN THE PERSONNEL MANAGEMENT SYSTEM OF MEDICAL INSTITUTIONS
Authors: KOBETS Dmytro , RUNOV Oleksandr
Published: September 2024

The purpose of thе study is to analyze and reveal the features of implementing digital tools in the human resource management system of medical institutions. Digitalization in this area is a relatively new phenomenon that enhances staff efficiency, optimizes management processes, and improves the quality of medical services.

The results of the study indicate a significant potential for using digital tools in medical institutions. The implementation of the electronic medical records, telemedicine systems, analytical systems and artificial intelligence, patient relationship management systems, as well as Big Data and analytics systems significantly enhance the efficiency of personnel management. Electronic medical records improve the quality of medical services and optimize workflows. Telemedicine systems facilitate access to medical services, while analytical systems and artificial intelligence assist in identifying trends, predicting outcomes, and making managerial decisions. Additionally, digital tools enhance communication in healthcare, ensuring more effective interaction between doctors and patients through various online platforms and social networks.

The implementation of digital tools in the human resource management system of medical institutions is a necessary and promising direction for the development. This allows for improved management efficiency, reduced staff turnover, increased professional level of employees, and ensures feedback and analytics. However, the realization of such innovations requires significant financial investments, which may be a limiting factor for many medical institutions. Further research should focus on identifying specific stages and models for the implementation of digital tools, as well as analyzing the economic feasibility of such innovations.
Management of coronary artery perforation: A 2024 appraisal
Authors: Dash Debabrata
Published: September 2024

Advances and innovations in technology have led to interventionists embarking on percutaneous coronary intervention in patients with increasingly complex anatomy, such as left main disease, heavily calcifi ed, multivessel disease, and chronic total occlusion. Consequently, the interventionist encounters an infrequent, yet potentially serious complication of coronary artery perforation (CAP). While the incidence of CAP is low, it can lead to severe consequences, such as cardiac tamponade, myocardial infarction, or even death. This review aims to provide an in-depth exploration of coronary perforation encompassing its epidemiology, pathophysiology, clinical presentation, contemporary therapeutic options, and future directions.
Characterisation and traceability of extra virgin olive oil and table olive of Azapa variety marketed in Chile using Microsatellite Molecular Markers
Authors:   Universidad de Atacama, Contreras-Diaz Roberto , van den Brink Liesbeth ,   Universitat Tübingen, Tapia Francisco ,   Centro Regional de Investigación Intihuasi
Published: September 2024

Chile has two certified origin olive products: Extra-Virgin Olive Oil (EVOO) from Huasco valley and the Azapa variety table olive from the Azapa valley. However, efficient methodologies are needed to determine the varieties and raw materials involved in the end products. In this study, we assessed the size of alleles from ten microsatellites in 20 EVOOs and in leaves and fruits of 16 olive varieties cultivated in Chile to authenticate their origins. The identification of varieties relied on specific allele sizes derived from microsatellites markers UDO99-011 and DCA18-M found in leaves and fruit mesocarp. While most Chilean single-variety EVOOs matched the variety declared on the label, inconsistencies were observed in single-variety EVOOs containing multiple varieties. Our findings confirm that microsatellites serve as a valuable as diagnostic tools for ensuring the quality control of Geographical Indication certification for Azapa olives and EVOO with Designation of Origin from Huasco.
Effect of the Jiedu Tongluo Shengjin formulation on plasma immunoglobulin G (IgG) levels in patients with primary Sjögren’s syndrome
Authors:   Shanghai Baoshan District Hospital, Ou Yong-Sheng , Wang Ya-Le ,   Shanghai Baoshan District Hospital, Zheng Pan-Pan ,   Shanghai Pulmonary Hospital, Xue Luan ,   Shanghai University of Traditional Chinese Medicine, Gao Fang-Ying ,   Shanghai Baoshan District Hospital
Published: September 2024

This study assessed the effect of Jiedu Tongluo Shengjin formulation on plasma IgG levels in pSS patients. 89 pSS patients were randomized into treatment (45 cases; 1 drop-out) and control (44 cases) groups using the random number table method. The control group received hydroxychloroquine sulfate and a placebo dose of Jiedu Tongluo Shengjin. The treatment group received hydroxychloroquine sulfate and the original Jiedu Tongluo Shengjin formulation. The treatment group showed significant decreases in SS disease activity index, TCM syndrome score, plasma IgG, and ESR, and significant increases in tear film break-up time, tear flow rate, salivary flow rate, C3, and C4 levels (p<0.05). No significant changes were observed in the control group (p>0.05). Jiedu Tongluo Shengjin effectively reduced eye and mouth dryness in pSS patients by improving inflammation and immune status.
The Early Detection and Diagnosis of Mental Health Status Employing NLP-Based Methods With ML Classifiers
Authors: Singh Aditi
Published: September 2024

People now communicate on a variety of internet channels on a daily basis. Natural language processing techniques can be used to deduce users' mental states based on textual or spoken information they post on these sites. Using SMS to predict mental health issues is a proactive step toward better treatment. NLP is transforming the way that professionals in the field of mental health assess patients' freedom of expression in order to identify and diagnose mental illnesses. In addition to offering new avenues for research into human attitudes and behaviors, machine learning techniques can be used to recognize the telltale indications and symptoms of mental illness. In this study, we investigate various supervised classifier methods in depth and use natural language processing (NLP) to identify the mental health state from a text message. People experience suffering from several mental diseases, but the most common ones include PTSD, bipolar disorder, panic disorder, depression, stress, and anxiety. We used Decision Trees, Random Forest, K-Nearest Neighbors, BernoulliNB, and Logistic Regression to classify the data for this investigation. In comparison to the other four classifiers, Logistic Regression performs the best in our suggested strategy. The experimental result confirms that more accurate patient data classification can be achieved with the suggested methodology. With a 93 percent accuracy rate, the suggested model was demonstrated to be efficient.
Predicting Cardiovascular Disease Events with Machine Learning Models
Authors: Potluri Nikhil
Published: September 2024

Cardiovascular diseases (CVDs) are a major cause of death worldwide, ranking among the deadliest disease. By utilizing statistical and machine learning (ML) algorithms to discover risk biomarkers, CVDs can be early detected and prevented. In this work, we use biochemical data and clinical CVD risk factors to predict CVD-related death within a 10-year follow-up period using machine learning models like Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Naïve Bayes (NB), Extreme Grading Boosting (XGB), and Adaptive Boosting (AdaBoost). Using the Ludwigshafen Risk and Cardiovascular Health (LURIC) study cohort, we included 2943 individuals in our analysis, of whom 484 were declared deceased from cardiovascular disease. For every model, we determined its accuracy (ACC), precision, recall, F1-score, specificity (SPE), and area under the receiver operating characteristic curve (AUC). According to the comparative analysis's results, the most dependable algorithm is logistic regression, which has an accuracy of 72.20%. In the TIMELY trial, these findings will be utilized to calculate the risk score and mortality of cardiovascular disease in patients with a 10-year risk.
A Descriptive Interpretation of Flexible Work Arrangements (FWA) and Their Impact on Organizational Outcomes
Authors: Singh Aditi
Published: September 2024

The evolving nature of work has led to an increasing adoption of flexible work arrangements (FWAs) by organizations seeking to enhance employee satisfaction and productivity. This study investigates the impact of FWAs—such as telecommuting, flextime, and compressed workweeks—on organizational outcomes including employee performance, job satisfaction, and retention. Through a comprehensive review of existing literature and empirical research, the analysis reveals that FWAs can lead to significant improvements in employee morale and productivity, reduce turnover rates, and foster a more inclusive work environment. However, the success of these arrangements largely depends on the organizational culture, the nature of the work, and the management practices in place. This study highlights the need for a strategic approach to implementing FWAs, ensuring alignment with organizational goals and employee needs to optimize the potential benefits. The findings offer valuable insights for managers and policymakers aiming to leverage FWAs to achieve better organizational performance and employee well-being.
An Investigation into the Role of Estate Surveyors and Valuers in Mineral Valuation: A Study of Anambra State
Authors: Joseph Chukwudi Onyejiaka , Ngozi Mark Madu , James Bassey Effiong
Published: September 2024

This study investigated the role of Estate Surveyors and Valuers in mineral valuation in Anambra State, Nigeria. The research aimed to determine the extent to which Estate Surveyors and Valuers are involved in mineral valuation and to identify the challenges they face in carrying out their duties. The study utilized a mixed-methods research design, combining both qualitative and quantitative approaches. A total of 65 Estate Surveyors and Valuers respondents were surveyed using a structured questionnaire. The study found that Estate Surveyors and Valuers prioritize and concentrate more on property valuation than on mineral valuation in Anambra State. They should be involved in the valuation of mining properties, compensation negotiations, mineral lease rentals, and royalty assessments. However, their role in mineral valuation is not well understood by stakeholders in the mining sector. The study identified inadequate funding, inadequate infrastructure, and inadequate regulatory frameworks as the major challenges facing mineral valuation in Anambra State. The research also revealed that the use of internationally recognized standards for mineral valuation is not prevalent in Anambra State. This suggests the need for Estate Surveyors and Valuers to adopt global best practices in mineral valuation to enhance the credibility of the process and improve the investment attractiveness of the mining sector. The study recommends the need for capacity building and training of Estate Surveyors and Valuers in mineral valuation. This will enhance their knowledge and understanding of the mining sector and its valuation processes, leading to improved valuation outcomes.
Beneficiaries of Frugal Practices and Public Building Projects Delivery in Southwest, Nigeria
Authors: F. O. OLADIPO , O. J. OJO , M. A. ABAYOMI , A. F. LAWAL
Published: September 2024

Persistent challenges such as building failures, project delays, cost overruns, and abandoned projects in public university building projects have underscored the need for research into the factors that can mitigate these issues. This study primarily aims to evaluate the effect of beneficiaries of frugal practices (clients, consultants, contractors, suppliers, and end-users) on the delivery of these projects in Lagos, Ogun, and Osun States. Adopting a cross-sectional survey research design, primary data were collected using structured questionnaires from construction professionals in public universities across Lagos, Ondo, and Osun States in Southwest Nigeria. A multi-stage sampling technique was employed, beginning with the purposive selection of states and universities, followed by stratified random sampling of 251 respondents from a population of 708 professionals. Data analysis was conducted using Partial Least Square-Structural Equation Modelling (PLS-SEM) to explore the relationships between variables. The findings reveal that stakeholders benefit in varying degrees from frugal practices. Especially, clients and contractors benefit positively from frugal practices while significantly suppliers and end users are not negatively imparted by the practice. End users and suppliers notably impact project delivery outcomes, particularly in cost performance, satisfaction levels, and adherence to timelines. Frugal practice exhibited the most substantial negative impact on end users, emphasizing the necessity of their involvement and satisfaction in project planning and execution. The study recommends that project managers and policymakers prioritize the active involvement of end users and maintain robust supplier relationships to enhance project performance.
Effect of Compliance with Valuation Standards and Awareness on Property Value Certification among Estate Surveying Firms in Abuja, Nigeria
Authors: Musa Mercy , Ufere Kalu Joseph , Iroaganachi Nneoma
Published: September 2024

The quest for reliability and consistency in real estate valuations services prompted the use of valuation standards. The extent of compliance with this valuations standards by property appraisers is a matter due for worthy consideration. This study aims to examine the effect awareness of valuation standards and compliance has on property value certification. The target population comprises registered Estate Surveying firms who are in private practice in Abuja, Nigeria. The sampling frame is 171 registered firm. The sample size of 118 was adopted. The reliability of the study data was measured using Cronbach’s Alpha test which showed that valuers’ awareness and compliance to valuation standards, and property value certification variables with 5, 3, and 7 measuring constructs respectively, were reliable with value above 0.70. The findings of the study show that awareness has a mean score of 3.4392 which is high with the 5-point likert scale, likewise, appraisers’ level of compliance is high, with a mean score of 3.7017, also property value certification showed a mean value of 3.9766. In examining the effect of valuation awareness and compliance on Property value certification multiple regression analysis was employed and the variables explained 57.4% of the model; which implies that awareness and compliance were responsible for 57.4% of the variation in property value certification. The effect of awareness and compliance on the certification of property values; the ANOVA analysis showed that awareness and compliance has a significant positive effect on property value certification, while awareness to valuation standards has a 26.9% effect, compliance with standards has a higher effect of 57.6%. Therefore the study concludes that while awareness and compliance both have significant positive effect on property value certification, compliance to valuation standards has a greater effect on real estate property value certification.
Análisis de la Accesibilidad a los Servicios de III Y VI Nivel en la Ciudad de Cúcuta Colombia 2021
Authors: Alejandrina  , Beltrán Camayo Jennifer , Espinosa Héctor Fabio
Published: September 2024

El presente artículo es producto de un proyecto de investigación del programa de Administración en salud, cuyo objetivo de estudio fue analizar la accesibilidad de los servicios de salud del III y IV nivel en la ciudad de Cúcuta Colombia, en este se mencionan los desafíos relacionados con la accesibilidad a los servicios de salud incluyendo retrasos en la asignación de citas médicas especializadas y generales, problemas en la entrega de medicamentos, demoras en la autorización de exámenes y cirugías, obstáculos en la referencia y contrarreferencia, deficiencias en la aplicación de normas de atención, y problemas en el reconocimiento y pago de prestaciones económicas. Estos desafíos afectan la capacidad de la población para acceder a servicios esenciales de salud en la ciudad.  Se identificaron diferencias en los modelos de accesibilidad en diferentes partes del mundo, como la distribución geográfica de los servicios, la distancia entre los pacientes y los centros médicos especializados, entre otras barreras, se observaron variaciones en la disponibilidad de servicios de tercer y cuarto nivel, así como en la satisfacción del usuario como indicador de calidad de los servicios. Estas disparidades resaltan la importancia de adaptar los modelos de accesibilidad a las necesidades específicas de cada región.
Actualización en el Manejo de Epoc y sus Complicaciones
Authors: Bolaños Gómez Cristian Andrés , Ureche Gámez Eliana Cristina , Chapman Ordóñez Susan Catherine , Cárdenas Vásquez Laura María , Murgas Cañas Carlos Hernando , Gómez Sánchez Juan Pablo , Bravo Solarte Diana Lorena , Yañez Neira Henderson Fabian
Published: September 2024

La enfermedad pulmonar obstructiva crónica (EPOC) es una enfermedad pulmonar de tipo degenerativo que se presenta con mayor prevalencia en adultos mayores de 45 años de edad, y representa una de las primeras causas de morbilidad y mortalidad a nivel mundial. Se caracteriza clínicamente por enfisema y bronquitis crónica que conducen al desarrollo de la obstrucción, y si bien es una enfermedad multifactorial, sus principales factores de riesgo comprenden el tabaco, factores genéticos y factores ambientales. Fisiopatológicamente, la respuesta inflamatoria en las vías respiratorias provoca la destrucción del tejido pulmonar y altera su anatomía normal, lo que lleva al remodelado y estrechamiento de dichas vías, dificultando la entrada de aire a los pulmones, y existen 2 tipos de fenotipos clásicos, que son enfisema y bronquitis crónica. Se clasifican de acuerdo a la gravedad de la obstrucción, y para esto se usan principalmente valores espirométricos, específicamente el FEV1 postbroncodilatador, y los tratamientos más utilizados incluyen broncodilatadores, agonistas beta-2, antimuscarínicos, metilxantinas, corticosteroides o combinaciones de estos fármacos. Recientemente, se han investigado nuevas formas de tratar el proceso inflamatorio en la EPOC, y una de las estrategias aprobadas es la inhibición de la fosfodiesterasa tipo 4 (11), por lo que el objetivo del siguiente artículo de revisión es conocer las nuevas actualizaciones en el manejo del EPOC.
Estrategias Lúdicas para el Desarrollo del Pensamiento Lógico-Matemático en Educación Básica
Authors: Vasquez Garcia Mirella Noemi , Chacon Chacón Digna Piedad , Estrella Hidalgo Edison Marcelo , Estrella Hidalgo Rosa Mercedes , Marianita de Jesús Tovar Molina , Cadena Morales Arianna Goevanna , Macas Chuncho Sonia Georgina
Published: September 2024

El presente documento examina la influencia de las estrategias lúdicas en el desarrollo del pensamiento lógico-matemático en estudiantes de educación básica. A medida que las metodologías convencionales de enseñanza de las matemáticas se ven confrontadas con desafíos, tales como la falta de interés y la ansiedad hacia la asignatura, se presenta la necesidad de incorporar métodos pedagógicos innovadores que incentiven a los estudiantes y mejoren su comprensión conceptual. Las estrategias lúdicas, tales como los juegos pedagógicos, el aprendizaje fundamentado en la resolución de problemas y las actividades interactivas, proporcionan una alternativa prometedora para enfrentar estos desafíos. Estas tácticas no solo promueven la adquisición de competencias matemáticas fundamentales, sino que también promueven el desarrollo del pensamiento lógico, crítico y creativo en los alumnos. La investigación se realizó con una muestra de 100 alumnos de educación básica, divididos en dos grupos: un grupo experimental, que participó en actividades lúdicas diseñadas para el desarrollo de habilidades lógico-matemáticas, y un grupo de control, que adoptó los métodos tradicionales de enseñanza. Se implementó un enfoque de investigación mixto, integrando análisis cuantitativos y cualitativos con el fin de evaluar la repercusión de las estrategias lúdicas. Se emplearon evaluaciones de desempeño matemático y observaciones en el aula con el fin de cuantificar el avance de los estudiantes en áreas tales como la resolución de problemas, la comprensión de conceptos matemáticos y el pensamiento analítico. Las conclusiones señalaron que el grupo experimental evidenció una mejora considerable en el desarrollo del pensamiento lógico-matemático en comparación con el grupo control. Los alumnos que participaron en las actividades recreativas manifestaron un incremento en su interés y motivación hacia las matemáticas, lo cual se manifestó en una mayor habilidad para solucionar problemas complejos y aplicar conceptos matemáticos en contextos prácticos. Adicionalmente, los estudios realizados en el aula revelaron que las estrategias lúdicas fomentaron la colaboración y la participación activa de los alumnos, potenciando su habilidad para trabajar en equipo y comunicarse de forma eficaz. Para concluir, esta investigación resalta la eficacia de las estrategias lúdicas como instrumentos pedagógicos para potenciar el desarrollo del pensamiento lógico-matemático en la educación primaria. La aplicación de estas estrategias en el plan de estudios académico puede contribuir al desarrollo integral de los alumnos, preparándolos para afrontar con éxito los retos académicos y personales.
El Papel de los Padres en la Educación Inicial": Estrategias Innovadoras para la Participación Familiar
Authors: Fajardo Lopez Carmita Elizabeth , Yagual Cedeño Lady Laura , Quezada Sanchez Carmen Fabiola , Toapanta Guanoquiza Maria Juana , Moreira Velez Karol Lola , Sandra Veronica Lamiña Pasmay , Bernal Parraga Augusto Paolo
Published: September 2024

Este manuscrito examina el rol de los progenitores en la educación temprana y propone estrategias innovadoras para promover su participación activa en el proceso educativo de los infantes. Con la premisa de que la implicación de las familias es esencial para el desarrollo cognitivo, emocional y social de los niños, el estudio se centra en la identificación y evaluación de prácticas que fomenten un mayor compromiso parental en contextos escolares. Se implementó un enfoque de investigación de naturaleza mixta, que combinaba métodos cualitativos y cuantitativos. Se trabajó con una muestra compuesta por 100 familias y 20 profesores de educación inicial en tres instituciones educativas. Las estrategias implementadas comprendieron la realización de talleres para los padres, la utilización de aplicaciones móviles para facilitar la comunicación entre la escuela y la familia, así como la realización de actividades de aprendizaje en el hogar. Los hallazgos señalaron que la implicación activa de los progenitores ejerció un efecto positivo en el desarrollo de los infantes, potenciando su rendimiento académico y su bienestar socioemocional. Los datos cualitativos demostraron que los progenitores consideran estas estrategias como instrumentos valiosos para participar de forma más eficaz en la educación de sus hijos, superando algunos obstáculos tradicionales como la escasez de tiempo y recursos. Además, los hallazgos cuantitativos demostraron una mejora considerable en las competencias de comunicación y el desarrollo cognitivo de los niños, particularmente cuando los progenitores participaron de manera activa en actividades educativas en el hogar. Las aplicaciones móviles simplificaron la comunicación entre progenitores y docentes, posibilitando un monitoreo más constante del avance de los niños y una colaboración más estrecha en la ejecución de estrategias pedagógicas. Para finalizar, la presente investigación subraya la relevancia de implementar métodos innovadores para fomentar la participación familiar en la educación inicial. La ejecución de estrategias tales como la capacitación de los progenitores, la utilización de tecnología para la comunicación y las actividades de aprendizaje en el hogar pueden contribuir a la creación de un ambiente educativo más inclusivo y colaborativo, lo cual favorece el desarrollo integral de los infantes.
La Gamificación como una Herramienta de Evaluación Estudiantil
Authors: Ayala Escudero Fernanda Isabel , Hugo Verdugo Maya Maribel , Lopez Peralta Christian Alexander , Morillo Rueda Johana Yadira , Doicela Doicela Enma Yolanda
Published: September 2024

Este estudio investiga la gamificación como herramienta de evaluación estudiantil, cuáles son sus ventajas y desafíos, analizando los beneficios para los estudiantes con diferentes herramientas que pueden ser utilizadas de una manera adecuada para este fin propuesto. La metodología utilizada es cualitativa y descriptiva, basada en una revisión sistemática, la cual incluyó tesis, artículos científicos y documentación normativa. Los hallazgos revelan que las herramientas de gamificación utilizadas en la evaluación estudiantil aumenta la independencia y la confianza de los estudiantes, además que genera mayor autonomía para el aprendizaje, ofreciendo una retroalimentación objetiva y con un seguimiento adecuado de que los estudiantes realmente están aprendiendo el contenido evaluado. El estudio concluye que aunque la gamificación ofrece variedad de herramientas para la evaluación estudiantil, es importante aplicarlo de una manera significativa y de acuerdo a las necesidades de los estudiantes pata que se pueda obtener los resultados esperados y sobre todo que el aprendizaje pueda motivar el aprendizaje evitando que sea un factor estresor en los estudiantes y se siga observando a la evaluación como la obtención de una calificación sobre su rendimiento académico.
RISK FACTORS FOR DUPLICATION OF NSAIDs WITHOUT GASTROPROTECTIVE IN ONE OF THE HOSPITALS IN INDONESIA
Authors: Nurmesa Adi , Jannah Wardatul , Rachman Abu , Wahyudi
Published: September 2024

The use of dual NSAIDs without gastroprotective is one of the drug related problems that often occurs in hospitals, the purpose of giving dual NSAIDs is to increase the effectiveness of pain relief in reducing pain in patients. However, the use of dual NSAIDs without gastroprotective increases the risk of side effects on the gastrointestinal tract, kidneys, and cardiovascular system. This study aimed to examine the risk factors for duplication of NSAID therapy without gastroprotective in the outpatient pharmacy unit at a type C hospital in Banyuasin district. This analytical study used a cross-sectional research design to determine the influence of risk factors on the incidence of duplication of NSAIDs therapy without gastroprotective in the outpatient polyclinic. Data were analyzed using Pearson Chi Square analysis. The results of the bivariate analysis showed that older age, polypharmacy, and multipathology were factors associated with the incidence of NSAID duplication in outpatients with p values (OR) of 0.047 (1.101), 0.025 (2.63), 0.025 (2.63), and 0.025 (2.63), respectively.
Keywords: Therapeutic duplications, Ibuprofen, Diclofenac, Gastroprotective agent
Optimizing the Utilization of Online Public Access Catalog as a Means of Information Retrieval in Libraries
Authors: Rahmadani Novita , Desky Ahmed Fernanda
Published: September 2024

This study aims to explore the optimization of the Online Public Access Catalogue (OPAC) as an information retrieval tool in the Library of SMA Negeri 3 Medan, focusing on identifying the challenges and barriers to its effective use. A qualitative descriptive approach was employed, utilizing interviews, observations, and documentation as data collection methods. Interviews were conducted with a librarian and three students, while observations focused on the practical issues related to OPAC usage. The findings reveal that the use of OPAC in the library is not optimal, with challenges including system integration difficulties, insufficient librarian training, and limited user familiarity. Efforts to enhance OPAC usage involve promoting OPAC awareness, increasing computer access points, and ongoing system maintenance. However, the effectiveness of these measures is hindered by technical and educational constraints, highlighting the need for targeted interventions to fully leverage OPAC's potential in improving library services.
Analysis of Student Activities Based on Log Files in E-Learning Using Clustering Algorithm
Authors: Maulana Indra , Mariam Metta
Published: September 2024

This study was conducted to analyse log data generated by e-learning platforms such as Moodle or similar platforms. The main objective of this research is to identify patterns and insights that can help improve the student learning experience and the efficiency of platform management. This study identifies the most effective clustering algorithms for grouping students based on their behaviour and achievements in the e-learning environment, namely K-means and K-Medoids. The methods used to determine the optimal number of clusters are the Silhouette Coefficient method and the Elbow method, utilizing both methods to determine the best clustering algorithm results. Based on the analysis using K-means and K-Medoids clustering methods on the log data of the programming algorithm course, the total number of action logs over a one-month period is 95,461, with an average of 892 action logs per participant. The distribution of action logs based on class (A, B, and C) shows variation in the number and average of action logs per class. Types of activities such as assignments, forums, video views, and course views have different average frequencies, with video views being the most frequently visited activity. Pearson correlations between activity types show strong relationships between activities, with the highest correlation between visits and course views. The optimal number of clusters based on the Elbow and K-Medoids methods is three clusters. Cluster 3 in K-Means has the best performance with the smallest DBI value (0.424) and the smallest centroid distance (21,168.534).
Analysis of the Use of Polypad-Based Educational Media on Mathematics Teacher Competencies in Indonesia: A Structural Equation Modelling (SEM) Approach
Authors: Imron Imron , Pramono Suwito Eko , Rusilowati Ani , Sulhadi Sulhadi , Samsudin Achmad
Published: September 2024

This research focuses on use of Polypad-based educational media to improve the competence of mathematics teachers using the Structural Equation Modelling (SEM) approach. The background to this research includes the challenges in mathematics education in Indonesia, especially in terms of the lack of interactive and relevant educational media, resulting in students' low literacy and numeracy abilities. The problem statement identified is the limitations of media that can affect the effectiveness of mathematics teaching. The main aim of this research is to evaluate the effectiveness of Polypad-based educational media in the context of mathematics learning on the competence of mathematics teachers. The research method used is a quasi-experimental method. Data collection was carried out through questionnaires to measure the effectiveness of Polypad-based educational media in the context of mathematics learning on the competence of mathematics teachers. The quantitative data was analysed using structural equation modelling (SEM) to identify relationships between the variables studied. The research results show that Polypad-based educational media has a significant influence in improving teachers' mathematical competence. SEM analysis revealed a positive relationship between the use of this media and increased competence of mathematics teachers. In conclusion, Polypad-based educational media can increase the effectiveness of mathematics learning and is recommended for application in mathematics education to improve the quality of learning in the future.
Solution of Volterra Integral Equations of the Second Kind with Weakly Singular Kernels Using Legendre Polynomials
Authors: Shoukralla Emil Sobhi , Hasan Alfaisal Abdelhameed , Gomaa Reham Abdelasdek , Sayed Ahmed Yehia
Published: September 2024

The shifted Legendre polynomials of the first kind are employed to solve second kind Volterra integral equations with weakly singular kernels. In this method the unknown function and the data function are approximated through three matrices, while the kernel function is approximated through five matrices. Regarding the kernel's two variables, it will be approximated twice, first with respect to variable x and second with respect to variable t. The singularity of the kernel is removed analytically. It is proved that the solution is equivalent to an algebraic linear system without applying the collocation method. Two numerical experiments are solved to illustrate the efficiency of the proposed method.
Hyperparameter Optimization for Convolutional Neural Network-Based Sentiment Analysis
Authors: Retno Kusumaningrum  , Asyraf Humam Arafifin  , Selvi Fitria Khoerunnisa  , Priyo Sidik Sasongko  , Panji Wisnu Wirawan  , Muhammad Syafrudin
Published: September 2024

The rapid development of digital technology brings about the importance of product or service opinions as a data source in business intelligence. Sentiment analysis is a business intelligence tool that can help gauge market trends by analysing the available opinions. Various studies have been developed to solve sentiment analysis problems, from selecting feature engineering techniques to selecting sentiment classification models based on classical or deep learning methods. However, these studies still select hyperparameters on a trial basis, which poses problems in terms of time and not optimal performance. Therefore, this research proposes the implementation of Bayesian Optimization to automate the selection of hyperparameters in sentiment analysis based on a Convolutional Neural Network (CNN). The results show that implementing the Bayesian Optimization method has the lowest computation time compared to Random and Grid Searches, which is only 175.746765 seconds, in the fifth trial. In addition, it made a reasonably large cut in terms of times compared to manual trial-based hyperparameter tuning that needs 540 trials. In the model assessment process, implementing Bayesian Optimization gives the highest values on Precision and Specificity, which are 0.8168 and 0.7176, respectively. Thus, implementing Bayesian Optimization is the right choice for sentiment analysis tasks since the precision of predicting negative sentiment classes is vital in hospitality business intelligence, especially the use of related information for product improvement or hotel service improvement. The implementation of Bayesian Optimization not only applied as a reliable hyperparameter selection technique for classification tasks but also regression prediction tasks.
Image De-noising Based on WMF Technique for Electrical Trees Structure in High Voltage Cable Insulation
Authors: Mohamad Nur Khairul Hafizi Rohani  , Cik Siti Khadijah Abdulah  , Baharuddin Ismail  , Mohd Aanuar Mohd Isa  , Afifah Shuhada Rosmi  , Mohamad Kamarol Jamil  , Firdaus Muhammad-Sukki  , Abdullahi A. Mas’ud
Published: September 2024

Electrical treeing is a common problem during the pre-breakdown phenomenon in solid insulations due to the damage caused by Partial Discharge (PD) that progresses through stressed insulation via chemical degradation, which resembles the shape of a tree root. This resulted in a decrease in performance through degrading the insulation, which became a serious problem while dealing with electrical equipment. Hence, a deep understanding of electrical tree structure is vital to improving the quality of solid insulations. Ergo, optical microscopy is primarily used to examine tree structures, shapes, and fractal dimensions to reconstruct electrical tree structures for morphological study. However, optical microscopy images are frequently degraded by noise from readout procedures or image data acquisition systems, noise caused by occlusion, illumination, non-uniform intensity, destroying potential tree pixels, and a critical loss of information about the electrical tree structures. Therefore, this research proposed the Wiener Median Fusion (WMF) filter for electrical tree study. The performance of the WMF de-noising technique improves the image quality for the precise portrayal of the electrical tree structure based on thresholding segmentation algorithm analysis in terms of accuracy, sensitivity, and false positive rate. Based on the analysis of the thresholding segmentation algorithm, Otsu's thresholding exhibits the highest result compared to Niblack. The Otsu's overall percentage in terms of accuracy is 80.2934%, the sensitivity is 99.1513%, and the false positive rate is 82.6265%.
Rancang Bangun Aplikasi Penggajian Karyawan Menggunakan Metode Sdlc Pada CV Putra Karya Motor
Authors: Anis Alatas Muhammad , Triantara Putra Erlangga
Published: September 2024

CV. Putra Karya Motor merupakan perusahaan jasa yang berdiri sejak tahun 2005. CV. Putra Karya Motor terletak di Jl. Raya Puncak – Cipanas Kec Pacet Cianjur. Jam kerja dimulai dari pukul 08.00 – 16.30 WIB. Pada setiap minggu perusahaan melakukan proses penggajian karyawan. Dalam penelitian ini proses penggajian karyawan pada perusahaan tidak terintegrasi dengan sistem, pengolahan data dan komponen gaji dilakukan secara manual dalam waktu yang singkat, proses pencarian informasi rentan sekali terjadi resiko kehilangan atau kerusakan data, proses kenaikan gaji membutuhkan data awal masa kerja karyawan yang harus dicari secara satu per satu untuk menentukan lama bekerja. Hal ini menyebabkan terjadinya kesalahan terhadap proses perhitungan gaji dan keterlambatan dalam melakukan proses penggajian. Berdasarkan dari permasalahan tersebut dibuatlah aplikasi penggajian karyawan yang terdapat pengelolaan data master, perhitungan gaji karyawan, perhitungan pajak, mengelola kenaikan gaji. Aplikasi yang dibuat terintegrasi dengan pencatatan kehadiran sehingga dapat dilakukan proses perhitungan gaji secara otomatis dan mampu mengelola kenaikan gaji untuk memudahkan pihak terkait mengenai pembayaran gaji kepada setiap karyawan. Sistem yang dibuat dapat melakukan perhitungan gaji secara otomatis tanpa perlu menghitung secara manual dan data gaji yang dihasilkan telah sesuai dengan semua data yang telah diinputkan berdasarkan komponen gaji yang ada pada perusahaan. Sistem yang dibuat sesuai permintaan dan kebutuhan pihak perusahaan. Hasil uji coba untuk melakukan perbandingan hitung antara Microsoft Excel dengan sistem telah sesuai. Aplikasi penggajian karyawan mampu menghasilkan output terkait laporan penggajian yaitu laporan gaji karyawan, laporan kehadiran karyawan, laporan lembur karyawan, laporan kenaikan gaji karyawan, laporan pengeluaran keuangan dan laporan pengeluaran lembur yang dapat membantu perusahaan dalam melakukan proses penggajian.
Evaluasi Terhadap Program Desa Cerdas di Kertagena Tengah Kabupaten Pamekasan dengan Perspektif Teori Strukturasi Adaptif (Studi Komunikasi Pembangunan Melalui Pendekatan Poststrukturalis)
Authors: Fitria Salis
Published: September 2024

Penelitian ini berangkat dari pendekatan strukturalis yang identik melalui proyek modernis. Posisi peneliti berada di kritis poststrukturalis, yaitu pendekatan keempat dalam komunikasi pembangunan. Terdapat kesadaran perlunya pendekatan yang lebih partisipatif dalam program pemerintah. Sampai saat ini, program pemerintah yang bersifat top down masih mendominasi. Strategi yang digunakan biasanya dibuat oleh otoritas tertinggi lalu diteruskan ke tingkat yang lebih rendah. Program Desa Cerdas merupakah program inisiatif negara. Program ini di gagas oleh Kementerian Desa, Pembangunan Daerah Tertinggal, dan Transmigrasi (Kemendesa PDTT). Desa Cerdas secara nasional tidak partisipatoris. Stakeholders di Desa Kertagena Tengah melaksanakan dengan konsep pendekatan top-down. Namun disisi lain, berdasarkan hasil FGD, masyarakat menginginkan program-program pemerintah yang lebih partisipatif. Masyarakat dilibatkan dalam proses perencanaan, pelaksanaan, monitoring dan evaluasi bahkan pengembangan. Komunikasi partisipatif dapat mendukung keberlanjutan. Peneliti mengidentifikasi pengalaman dan pemahaman masyarakat desa tentang program Desa Cerdas di Kertagena Tengah Kabupaten Pamekasan. Temuan menunjukkan aspek-aspek lemah, karena adanya power dari pusat. Terdapat dualitas struktur yang bekerja dalam program Desa Cerdas. Posisi pemerintah menjadi salah satu entitas, bukan lagi dominan. Ditandai dengan munculnya kelompok-kelompok, struktur baru dalam program Desa Cerdas.
Dinamika Hukum Pencalonan Presiden dan Wakil Presiden di Indonesia: Analisis Terhadap Perubahan Peraturan – Peraturan Terkait Pemilu Presiden Tahun 2024
Authors: Indra Pratama Putra Dirga , Sadino Sadino , Rifai Anis
Published: September 2024

Penelitian ini menginvestigasi dinamika hukum terkait syarat pencalonan presiden dan wakil presiden di Indonesia setelah serangkaian putusan Mahkamah Konstitusi yang kontroversial, khususnya dalam konteks pemilu presiden tahun 2024. Metode penelitian yang digunakan adalah pendekatan kualitatif literatur, dengan fokus pada interpretasi keputusan Mahkamah Konstitusi dan konseptualisasi tentang keadilan dan etika politik. Analisis literatur yang kritis menghasilkan kerangka konseptual yang mendalam, menggambarkan interaksi kompleks antara keputusan hukum dan implikasinya terhadap stabilitas politik dan kepercayaan publik. Hasil penelitian menyoroti pergeseran signifikan dalam regulasi pemilihan umum, mempertanyakan konsistensi dan legitimasi Mahkamah Konstitusi sebagai penjaga konstitusi. Studi ini memberikan wawasan yang berharga bagi pemahaman dinamika hukum dan perkembangan demokrasi di Indonesia.