Significant Influence Research Articles

Faktor yang Mempengaruhi Tingkat Kecurangan Karyawan PT. BUM Pabrik Perikanan Samudera Kendari

The purpose of this study is to provide empirical evidence of the influence of employee attitudes toward fraud on PT. BUM Kendari ocean fisheries, provide empirical evidence of the effect of pressure on the employee to fraud PT. BUM Kendari ocean fisheries, provide empirical evidence influence employees the opportunity to fraud at PT. BUM Kendari ocean fisheries, provide empirical evidence of the influence of employee capability to fraud at PT. BUM Kendari ocean fisheries, provide empirical evidence influence attitudes, the pressure occasion, and employee capability simultaneously to fraud on PT. BUM Kendari ocean fisheries. The population in this study were employees of PT. BUM Kendari ocean fisheries as many as 42 employees. The sampling technique using census method. Census method is sampling technique when all members of the population used as a sample. The analysis tool used is the Multiple Linear Regression Analysis. The results showed that There is a significant influence on the attitude (Rationalization) against fraud with a significance value of 0.045. There is a significant influence of pressure against fraud with a significance value of 0.008. There is a significant influence of opportunities against fraud with a significance value of 0.027. There is a significant influence on the capability of the fraud with a significance value of 0.002. There is a significant influence on the attitude (Rationalization), Pressure, opportunity and capability against fraud with a significance value of 0.009.

Analyzing the impact of Jakarta’s reclamation on the distribution of TSS using remote sensing technology

Jakarta Bay is a bay supporting the economy of thousands of nearby fishermen. Therefore, the reclamation in Jakarta Bay raises many environmental, economic, and social problems. During this reclamation, dredging and stockpiling activities increase the turbidity of the waters. This research aims to determine the changes in the distribution of total suspended solids (TSS) after reclamation using Sentinel 2A satellite imagery from 2016 to 2022. This research implemented the previous algorithm to produce the distribution of TSS in Jakarta Bay for attaining TSS values from Sentinel 2A satellite imagery processed by Google Earth Engine with overlay analysis method in a geographic information system. Spatial data were obtained by extracting TSS values using the previous estimation algorithm, namely the Budhiman algorithm, with a correlation coefficient of -0.745 and NMAE of 0.167. Based on the data processing results, it was found that the distribution of TSS from 2016 to 2022 was at a moderate level, which had a relatively significant influence on fisheries, requiring the fishermen to go to the open sea farther from the coast. This shows that reclamation carries no impact on the life of marine biota in Jakarta Bay.

Analysis of the distribution of international migration based on pushing and pulling factors of migration in Watulimo District, Trenggalek Regency

This study was motivated by the high number of people in Watulimo Subdistrict, Trenggalek Regency, who have undertaken international migration. They mostly stay abroad not just for one or two years but for years. This study analyzes the distribution of international migration based on the push and pull factors of migration. This research was conducted in Watulimo District, Trenggalek Regency using quantitative research methods type hypotheses or explanatory research. The data analysis was carried out using the logit method (binary logistic regression). The results show that the distribution of international migration in Watulimo District is spread over twelve villages, with the most significant driving factors being land ownership and the pull factors. The pull factors contain income and the desired job opportunities in the destination area, as evidenced by the significant value of land ownership is 0.045, the income is 0.000, and the presence of desired jobs in the destination area, with a significant value of 0.005. Those factors have a lower than 0.05 significant value, suggesting their significant influences on international migration.

The impact of job satisfaction on organizational commitment with employee engagement as moderating variable

The purposes of the study are to analyze; 1) the impact of job satisfaction on banking employee’s organizational commitment, 2) the impact of employee engagement on organizational commitment, 3) the impact of job satisfaction on employee engagement, and 4) the indirect effect of job satisfaction on organizational commitment of banking employees in Padang with employee engagement as a moderating variable. The type of research is causative research, which aims to see how far the independent variables affect the dependent variable. The research data was collected came from 180 employees who worked in banking, in which they had more than 2 years of experience. Then the data to analyze using the structural equation modeling (SEM) approach with Smart PLS 3.0 software. The results showed that: 1) Job satisfaction has not a direct effect on organizational commitment in banking employees in Padang; 2) Employee engagement has a direct and significant effect on organizational commitment of banking employees in Padang; 3) Job satisfaction has a direct and significant effect on employee engagement banking employees in Padang and 4) Job satisfaction has an indirect and significant influence on employee organizational commitment when mediated by employee engagement. The contribution of this study is expected to provide information for companies in developing and improving employee attitudes to have a high commitment to the company. This is intended so that employees can contribute to providing excellent service to increase organizational competitiveness.

Interwoven Legacies: Exploring the Rich Textile Traditions of Korea and Tamil Nadu (India) through Cross-Cultural Influences

This paper explores the textile traditions in Korea and Tamil Nadu, delving into their historical evolution, cultural significance, and cross-cultural influences. Korea, known for its deep-rooted traditions, and Tamil Nadu, celebrated for its ancient Dravidian culture, offer unique insights into the world of textiles. This research examines potential historical connections and cultural exchanges between these traditions. It also highlights shared elements in weaving techniques, materials, and symbolism. The study emphasizes the contemporary relevance of these traditions and the challenges and opportunities they face in a modern context. Ultimately, it unveils the intertwined legacies of Korean and Tamil Nadu textiles.

Analysis of Labor Force Participation Levels and Number of Employment Through Education on Unemployment Rates in Indonesia

The aim of this research is to identify the influence and explain the contribution of the labor force participation rate and the number of jobs to the unemployment rate. The location taken in this research is Indonesia, with cross-section data from 36 provinces in 2023. Data analysis in this research uses classical assumption tests and hypothesis testing with SPSS. Based on the calculation results, the level of labor force participation through education has a negative and significant influence on the unemployment rate in Indonesia. Meanwhile, the number of jobs created through education has no effect and is not significant on the unemployment rate. In addition, the labor force participation rate and number of jobs contribute to the unemployment rate of 65.9%. This confirms that the labor force participation rate and the number of jobs have a very significant influence on determining the unemployment rate. The labor force participation rate reflects how much of the population is actively looking for work, while the number of jobs indicates the availability of job opportunities in the economy.

Development and benchmarking of space-time kinetics solver in REDAC

A space–time kinetics solver based on finite volume approach has been developed for REactor Dynamics Analysis Code (REDAC). It solves 3D multi-group neutron diffusion equation, coupled with the heat transport equations. Code offers flexibility in terms of reactor geometry, boundary conditions and discretization. Efficient numerical methods have been employed for solving the governing equations. The performance of the code has been demonstrated by solving diverse benchmark problems. It is shown that REDAC is able to predict important static and dynamic core parameters with good accuracy. The framework of REDAC easily lends itself for sensitivity studies with respect to spatial discretization and temporal integration schemes. From these studies, it is observed that spatial resolution could have significant influence on accuracy and the semi-implicit method performs better than the implicit method. Improved quasi-static method requires less computational time compared to the direct method, however, its accuracy depends on the time step size.

SADCNN-ORBM: a hybrid deep learning model based citrus disease detection and classification

Citrus disease has a significant influence on agricultural productivity these days, so technology based on artificial intelligence has been developed for creating computer vision (CV) models. By spotting disease in its early stages and enabling necessary productivity actions, CV in agriculture improves the production of agricultural goods. In this paper, we developed a CV-based citrus disease detection model called the self-attention dilated convolutional neural network optimized restricted Boltzmann machine (SADCNN-ORBM) model, which consists of two crucial parts: a SADCNN for disease segmentation and an ORBM optimized by the self-adaptive coati optimization (SACO) algorithm to improve the classification performance of diseases, which successfully divides the disease type into three groups: anthracnose, melanose, and brown spot. Numerous feature sets, such as texture features, three-channel red, green, blue (RGB) features, local binary pattern (LBP) features, and speeded-up robust features (SURF) features, are combined and given as input into the classification layer in the proposed model. We compare our proposed model's performance with existing methods by using several evaluation metrics. The findings demonstrate the SADCNN-ORBM model's superiority in precisely recognizing and classifying citrus illnesses, outperforming all available techniques.

The Effect of Convective/Advective Precipitation Partitions on the Precipitation Isotopes in the Monsoon Regions of China: A Case Study of Changsha

Abstract Convective/advective precipitation partitions refer to the divisions of precipitation that are either convective or advective in nature, relative to the total precipitation amount. These distinct partitions can have a significant influence on the stable isotope composition of precipitation. This study analyzed and compared the effect of precipitation partitions on δ18O in precipitation (δ18Op) by using daily precipitation stable isotope data from Changsha station and monthly precipitation stable isotope data from the Global Network of Isotopes in Precipitation (GNIP), under different time scales, time intervals (i.e., annual, warm season, and cold season), and precipitation intensities. The results showed that the correlation between the convective precipitation fraction (CPF) and total precipitation amount was influenced by the intensity of convection in different time intervals. On both the daily and monthly scales, the CPF decreased as the precipitation amount increased in the warm season, while it increased with increasing precipitation amount in the cold season. Regardless of the season, daily δ18Op at Changsha station consistently increased with an increase in daily CPF. On a daily scale, the effect of convective activity on δ18Op was stronger than that of the “precipitation amount effect” in the cold season, as compared to the situation in the warm season. As a result, the regression line slope between δ18Op and CPF increased with increasing precipitation intensity in the warm season, meaning that as the CPF increased, the δ18Op increased at a faster rate under higher precipitation intensity. Similarly, the slope increased with increasing precipitation intensity in the cold season. This suggests that precipitation intensity and convection intensity can affect the relationship between δ18Op and CPF. Our findings shed light on how different precipitation partitions affect stable isotope composition of precipitation, thus enhancing our understanding of the variability of precipitation stable isotopes in the monsoon regions of China. Significance Statement This study aims to better elucidate the influence of different precipitation partitions on precipitation stable isotopes. In the eastern monsoon region of China, stable isotopes in precipitation showed a robust positive relationship with convective precipitation faction. On a daily scale, the convective activity enhanced the influences of the “precipitation amount effect” on precipitation stable isotopes in the warm season and reduced such influences in the cold season. These results improve our understanding of stable isotopic variability of precipitation in the eastern monsoon region, China.

Intraoperative hypotension and its association with acute kidney injury in patients undergoing elective cardiac surgery: a large retrospective cohort study

BACKGROUND Intraoperative hypotension (IOH) is known to affect renal outcomes in noncardiac surgery. However, it is unclear whether intraoperative hypotension (IOH) causes postoperative acute kidney injury following cardiac surgery. OBJECTIVE This study aimed to determine whether the duration of IOH during cardiac surgery is associated with the incidence of postoperative acute kidney injury (AKI) and identify its impact on long-term outcomes. DESIGN Retrospective cohort study. SETTING Academic university hospital (Heart and Diabetes Center, Bad Oeynhausen, Germany). PATIENTS A cohort of 28 909 patients who underwent elective cardiac surgery between 1 January 2009 and 31 December 2018. INTERVENTIONS IOH was defined as intraoperative mean arterial blood pressure (MAP) of less than 60 mmHg for more than 2 min. The cumulative duration of these IOH events was recorded each patient. MAIN OUTCOME MEASURES The primary outcome was the incidence of AKI according to the KDIGO criteria (Kidney Disease: Improving Global Outcomes). Logistic regression analysis was used to analyse the associations between IOH and the incidence of AKI. Secondary outcomes were the independent predictors for the incidence of AKI. RESULTS Postoperative AKI was observed in 42.9% of patients. The cumulative duration of IOH (minutes) had a significant influence on the incidence of AKI [odds ratio (OR) 1.004; 95% confidence interval (CI) 1.003 to 1.005; P < 0.001] (P > 0.001 versus P < 0.001). The survival time was significantly shorter in patients with a higher cumulative duration of IOH, patients aged more than 70 years, and those who developed AKI (P < 0.001). Logistic regression analysis identified eight predictors of AKI: age, cumulative duration of IOH, duration of surgery, chronic obstructive pulmonary disease, body mass index, type of surgery, American Society of Anesthesiologists stage, and Euroscore 2. CONCLUSIONS The cumulative duration of IOH is an independent risk factor for the occurrence of postoperative AKI after cardiac surgery. TRIAL REGISTRATION Ethics Committee of the Ruhr University Bochum (Register number 2019-491).

Extreme Weather Events and Expected Parental Roles in Bangladesh and Beyond: A Review of Literature

Abstract Extreme weather events (EWEs) linked to climate change are expected to increase in frequency in the coming years, putting the entire world in danger. Parents exert a significant influence on the lives of their children and the overall function of the family unit. However, natural disasters have a significant impact on daily life and pose an immediate danger, resulting in loss of life, injuries, and property damage. In addition, disasters can also have an impact on the responsibilities that parents play in their house. This study examines the evolving dynamics of parental roles in the context of EWEs, examining the shifting expectations and actual realities of fatherhood and motherhood. The study examines the various effects of EWEs on family structures, gender roles, and parental obligations by conducting a comprehensive review of 30 relevant articles. Our findings indicate that in severe weather conditions, men tend to adopt the position of “father” and are perceived as heroic figures, rescuers, and guardians/protectors who prioritize the well-being of their children and families, as well as take on financial obligations. On the other hand, women are often viewed as caregivers/rescuers/victims during such conditions. Moreover, in many countries, women are expected to care for other family members, including younger children and the elderly, which may limit their mobility during severe weather. Extreme weather conditions affect men and women differently, and there may also be significant differences in gender-related expectations and dimensions within a country. It is therefore essential to thoroughly study how these roles change in response to extreme weather events. We recommend conducting additional rigorous studies, both quantitative and qualitative, to comprehensively examine this relationship. This study will aid in designing initiatives aimed at fostering parenting attributes, particularly in regions susceptible to disasters.

Effects of processing parameters on the leakage current of silicone rubber insulator

Silicone rubber (SiR) is known for its exceptional electrical insulation properties. The performance of SiR could be affected by many factors, including processing parameters, particularly mixing speed and time. While these parameters are crucial for ensuring the homogeneity of blended polymeric materials, their electrical impact remains relatively unexplored. This research investigates the effect of varying processing parameters on SiR samples during rapid aging under the incline plane tracking (IPT) test. The study unfolds in three phases, with the final IPT stage revealing the significant influence of different mixing speeds and times on the recorded leakage current (LC) values for each sample. Sample 2, subjected to 70 rpm mixing speed and 10 minutes of mixing time, exhibited great resistance to tracking and erosion. Fourier transform infrared spectroscopy (FTIR) was conducted on the samples before and after the IPT test to further analyze the impact of the varying processing parameters. Once again, sample 2 displayed notable resilience, demonstrating lower reductions in absorbance values for key functional groups. In conclusion, the specific processing parameters of 70 rpm and 10 minutes have been shown to positively influence the performance of SiR, enhancing their resistance to tracking and erosion during rapid aging.

Pengaruh Loyalitas Dan Prestasi Kerja Terhadap Promosi Jabatan Pada Koperasi Peternak Garut Selatan

This research departs from a phenomenon regarding employee promotions at the South Garut Breeders Cooperative (KPGS) which tend to be less than optimal. The phenomenon that occurs certainly has a cause, including loyalty and work performance. The purpose of this research is to determine the influence of Loyalty and Work Performance on Position Promotion at KPGS. The population and sample in this research were employees, totaling 39 respondents. The method used in research is descriptive and associative. Based on data analysis, information was obtained that this research instrument was declared valid because it had a value greater than the r table of 0.300 and was declared reliable because it had a Cronbach's alpha value greater than 0.600. From the results of the correlation test, it is clear that Loyalty and Work Performance have a positive influence on Position Promotion with an r value of 0.767 for loyalty and 0.783 for work performance, while the coefficient of determination is 30.2% while the remaining 69.8% is influenced by other factors. which was not examined in this study. Based on hypothesis testing using both the t test and f test, there is a positive and significant influence between loyalty and work performance on job promotion, both partially and simultaneously.

Pengaruh Gaya Kepemimpinan Terhadap Kinerja Karyawan dengan Komunikasi Sebagai Variabel Antara

Human resources have a strategic role in the organization and need to be managed properly to achieve organizational effectiveness and efficiency. Leadership style has a significant influence on employee performance. Communication is also an important factor affecting employee performance. The aims of this study were to determine the effect of leadership style on employee performance, effect of leadership style on communication, the effect of communication on employee performance, and the effect of leadership style on employee performance with communication as an intervening variabel. This study involved employees of the Faculty of Medicine, Maranataha Christian University who were used as research samples. Structural Equation Model - Partial Least Square (SEM-PLS) is a data processing method used because the research conducted involves a small sample size with a minimum sample size in the range of 30 - 100 samples. Based on the results of the research conducted, it shows that leadership style has no effect on employee performance, leadership style has a positive and significant effect on communication, communication has a positive and significant effect on employee performance, and leadership style has a positive and significant effect on employee performance with communication as an intermediate var

THE INFLUENCE OF SOCIAL MEDIA MARKETING ON BRAND EQUITY MEDIATED BY E-WOM (ELECTRONIC WORD OF MOUTH) ON HEALTHCARE PROVIDERS

Social media is a media that frequently used to share picture, text, and video information. In 2019, social media users in the entire world popu-lation has reached 50% and it keep increasing. This rapid development of social media has affected the marketing strategy of healthcare providers, especially in implementing digital-based marketing strategies. A healthcare provider’s social media activity is thought to be helpful to pro-spective consumers in assessing the quality of a healthcare provider. The aim of this study is to evaluate the impact of social media marketing on brand equity through electronic word of mouth (E-WOM) as a mediating variable in healthcare providers. To achieve this goal, a questionnaire has been made based on previous literature with a sample of 107 respondents distributed online.Theresultsofstructuralequation modeling using SEM-PLS analysis show that Social media marketing has a favorable and sig-nificant direct and indirect influence on brand equity, mediated by E-WOM. Therefore, this study can be a foundation for healthcare providers to be able to apply marketing behavior through social media to develop health services.

Relevance of Machaivellis Theories in Today

Abstract: Niccolò Machiavelli, a prominent figure in Renaissance political philosophy, continues to wield significant influence in contemporary discourse on governance, leadership, and power dynamics. Despite being penned centuries ago, Machiavelli's works, notably "The Prince" and "Discourses on Livy," remain subject to intense scrutiny and debate for their pragmatic, often controversial, insights into the nature of politics and human behavior. This extended abstract delves into the enduring relevance of Machiavelli's theories in modern society, elucidating key concepts and their manifestations across political, social, and business domains.

Enhancing educational excellence: An analysis of teacher capacity building and its impact on instructional delivery in public secondary Schools in Kenya

This study investigates the relationship between teacher capacity building, instructional delivery, and effectiveness in public secondary schools. Utilizing the descriptive survey methodology, data were collected from 400 teachers in Embu and Tharaka-Nithi Counties, Kenya. A survey questionnaire was used for data collection, whereby the efficacy of instructional delivery was assessed through a Likert-scale survey consisting of 17 items. Demographic information highlighted the diverse composition of the teaching workforce, with varying age groups, educational qualifications, and work experience. The study explored teachers' participation in professional development programs, revealing substantial engagement in subject-specific training among other capacity building programs. Findings indicated high agreement among teachers on statements related to syllabus completion, assignment design aligned with objectives, and regular collaboration with colleagues. Some areas for potential improvement were identified, including the incorporation of student questions to guide lessons, ensuring adequate instructional materials, and integrating higher-order thinking strategies. Capacity building was found to have a significant influence on the effectiveness of teachers in instructional delivery, whereby teachers who had attended more courses obtained higher means scores in instructional delivery than those who had attended fewer or no courses. The study contributes to the understanding of teacher capacity development's impact on instructional practices and effectiveness. The findings underscore the importance of ongoing professional development tailored to teachers' needs, emphasizing collaborative strategies and resource provision. Policymakers, educational administrators, and teachers can leverage these insights to inform targeted interventions that enhance the overall quality of instruction in Kenyan public secondary schools.

Advancing environmental sustainability in the creative sectors: A strategic HR framework based on data analytics and eco-innovation

In response to the growing urgency of environmental sustainability, industries across the globe are seeking innovative approaches to mitigate their ecological footprint. The creative sectors, encompassing fields such as design, advertising, media, and entertainment, wield significant influence in shaping societal norms and consumer behavior. However, their activities often come with substantial environmental consequences. This proposes a strategic human resource (HR) framework grounded in data analytics and eco-innovation to foster environmental sustainability within the creative sectors. The proposed framework emphasizes the pivotal role of HR practices in driving organizational change towards sustainability. Leveraging data analytics, organizations can gain insights into their environmental impact across various stages of production and consumption. By analyzing this data, firms can identify key areas for improvement and implement targeted strategies to reduce resource consumption, waste generation, and carbon emissions. Moreover, eco-innovation emerges as a central pillar of this framework, encouraging organizations to rethink traditional practices and develop creative solutions that minimize environmental harm. Through eco-innovation, firms can design products, services, and processes that align with principles of sustainability while maintaining competitiveness in the market. Strategic HR practices play a critical role in facilitating this transition towards environmental sustainability. HR departments can champion sustainability initiatives by fostering a culture of environmental consciousness, providing training on eco-friendly practices, and incentivizing employees to contribute to sustainability goals. Furthermore, HR professionals can spearhead recruitment efforts to attract individuals with expertise in sustainability and facilitate knowledge sharing within the organization. The integration of data analytics and eco-innovation into HR practices represents a forward-thinking approach to addressing environmental challenges in the creative sectors. By adopting this strategic framework, organizations can not only minimize their ecological footprint but also capitalize on opportunities for innovation and differentiation in an increasingly environmentally conscious marketplace. Ultimately, this review advocates for a holistic approach to sustainability that encompasses both environmental and organizational objectives within the creative sectors.

The Influence of Pawn Product Quality, Trust and Word of Mouth on Customer Satisfaction with Expectation as an Intervening Variable at PT Pegadaian Bratang Surabaya City Branch

This research aims to analyze the influence of product quality, trust and word of mouth on customer satisfaction with expectations as intervening variables. This research focuses on customers of PT Pegadaian Bratang Surabaya City Branch who doing pawn transactions and customer behavior. This research used a convenience sampling technique to meet the number of samples determined using the Slovin formula with a sample size of 389 respondents. SPSS Statistics 29.0 Program and SmartPLS version 4.0 programs were used to analyze and evaluate the results of this research by testing validity and reliability tests, statistical tests of outer models, inner models and hypothesis analyze. The research results show that (1) there is significant influence of product quality on customer satisfaction, (2) there is significant influence of product quality on expectations, (3) there is a significant influence of trust on customer satisfaction, (4) there is insignificant influence of trust on expectations, (5) there is significant influence of word of mouth on customer satisfaction, (6) there is significant influence of word of mouth on expectations, (7) there is significant influence of expectations on customer satisfaction.

Analyze The Effect of Service Quality, The Role of Social Media Technology, and Company Reputation On Increasing Power Sales

The purpose of the research to identify effect of service quality, the role of social media technology, and company reputation on increasing power sales. This research is an explanatory research using hypothesis testing methods and quantitative approaches. The goal is to explain the causal relationship between one variable that affects another variable, namely independent variables in the form of service quality, the role of social media technology and company reputation on the dependent variable that is increased sales. Based on the discussion in the previous chapters and answering the problem formulation, research objectives and referring to the process and results of data analysis in this study, the following conclusions can be drawn: There is a positive and significant influence between service quality and increased electricity sales at PLN UP3 Ponorogo. There is a positive and significant influence between the role of social media technology and the increase in electricity sales at PLN UP3 Ponorogo. There is a positive and significant influence between the company's reputation and the increase in electricity sales at PLN UP3 Ponorogo