Influence Of Factors Research Articles

Iodine nutrition status of children 3-13 years of age in areas with high groundwater iodine content in China.

Adequate iodine status is crucial for children's health and normal development. However, there is a paucity of research on the iodine status of children from areas with high groundwater iodine content. To monitor the iodine status of children in Shandong, China (regions primarily characterized by high iodine concentrations in groundwater) and to describe the factors influencing children's iodine status. A cross-sectional study was conducted from 2013 to 2023 on 3,253 children aged 3-13 years. We collected drinking water, spot urine, and 24-hour urine samples from children to assess their iodine status (measuring drinking water iodine concentration (WIC), water iodine intake (WII), urine iodine concentration (UIC), 24-hour urine iodine excretion (24-h UIE), daily iodine intake (DII), etc.), and analyzed influencing factors. The median WIC for children was 183 (IQR: 70.2, 362) μg/L, and the median spot UIC was 428 (IQR: 194, 737) μg/L, surpassing the WHO cutoff (300 μg/L). Children at risk of iodine excess numbered 1750 (61.8%). Approximately 61% of iodine intake came from drinking water. Boys had significantly higher iodine intake than girls (P < 0.001). Children's age showed positive correlations with spot UIC, 24-h UIC, and 24-h UIE. There were no significant differences in 24-h UIC and 24-h UIE among children with different BMIs. The logistic regression model revealed that the risk of iodine excess was increased by boy gender, increment in age (OR = 1.05, 95% CI: 1.02, 1.08), and every 10 μg (OR = 1.04, 95% CI: 1.03, 1.04) or 50 μg (OR = 1.19, 95% CI: 1.16, 1.22) increment in WII. Children in areas with high groundwater iodine content are at a risk of iodine excess. As age increases, the risk of iodine excess in children rises, with boys at a higher risk than girls.

Research on the influencing factors of the value of NBA players

Abstract. NBA players are among the highest-paid athletes globally. Salaries can range from league minimums of around $1 million per year for new or less experienced players to over $40 million annually for superstars. In addition to salaries, players can earn significant amounts from endorsements and other business ventures. Researching NBA players salaries is important for several reasons: Understanding how player salaries affect the overall economy of the sport; Insights into how talent is valued and compensated in a highly competitive industry; Teams must strategically manage their payroll to stay within salary cap limits while building competitive rosters. This article will use multiple linear regression model to analyze some factors such as turnover, age, points, personal fault, block, total rebound, assist, and effective Field Goal percentage that relate to NBA player salaries from 2022-23 season. Model shows the model of R value of 0.485. All factor (turnover, age, points, personal fault, block, total rebound, assist, effective Field Goal percentage) can explain 48.5% of the Salary change. In addition, Age and Points Per Game (PTS) have a significant positive impact on a players salary. This indicates that both a players age and their ability to score points are crucial determinants of their earning potential in the NBA.

A mixed-method approach to study the impacts of energy micro-generation combined with appliance-level feedback on everyday practices

Energy feedback is recognized in energy literature as vital for altering and curbing energy usage. However, recent studies highlight the limitation of energy feedback, questioning its real capacity to promote energy-saving behaviours. Meanwhile, micro-generation, such as photovoltaic panels (PVs), is deemed more effective in reshaping daily practices by encouraging time-shifting of activities, as a way to reduce the load of energy consumed in the grid, while increasing the one from renewable resources. This study explores the impacts of appliance-level consumption feedback combined with micro-generation on everyday practices; it adopts a practice theoretical perspective, viewing households as practitioners rather than mere rational agents. Qualitative and quantitative data were collected between 2022 and 2023 in households with PVs on two islands located off the west coast of Ireland. Smart plugs were installed and connected to different home appliances to collect energy data and provide feedback on their energy usage through a webapp. Our analysis focuses on pre- and post- plugs’ installation and feedback delivery periods, to assess households’ responses both in relation to their practices and to PV usage. While appliance-level feedback showed potential in enhancing PV use and practice changes, heightened awareness does not guarantee change, and households’ responses to feedback depend on various influencing factors deeply embedded in everyday practices – including the (non) negotiability of practices, app design, household dynamics and previous experience with the PV system. Our findings suggest opportunities for energy research to develop more tailored strategies for cutting energy consumption, taking into consideration people’s practices.

Photocatalytic ZnIn2S4 for 2-Mercaptobenzothiazole Degradation: Facile Synthesis, Influencing Factors and Mechanism

The development of an efficient, stable and environmentally friendly semiconductor photocatalyst is great research significance in the field of environment and energy. In this paper, ZnIn2S4 semiconductor photocatalysts with flower-like hierarchies were prepared by simple and environmentally friendly method. The influence of ZnIn2S4 dosage, pH and different inorganic salt ions on the photocatalytic degradation of 2-mercaptobenzothiazole (MBT) under visible light was investigated in detail. The results showed that the photocatalyst dosage was 0.05 g, and the photocatalytic degradation efficiency of MBT was the highest in the weakly acidic environment with pH was five. Meanwhile, the addition of some inorganic anions has a significant inhibitory effect on the photocatalytic activity of ZnIn2S4 semiconductor photocatalyst, while cations have less effect. Moreover, the ZnIn2S4 semiconductor photocatalyst had excellent stability and recyclability, and its photodegradation mechanism had been deeply studied. This work provides a theoretical and experimental foundation for exploring the different influencing factors of photocatalytic degradation of organic pollutants in wastewater by other semiconductors.

Peak torque and eccentric rate of torque development of the hamstrings might not be reflected by contractile properties measured by tensiomyography.

Eccentric maximum strength and explosive force production of the hamstrings are crucial for performance in many sports. Tensiomyography (TMG has been shown to be a valuable tool to assess muscle contractility and function. For eccentric force production, neural activation has been proposed to be the predominant influencing factor. Nevertheless, high muscle fiber tension has to be generated. Therefore, this study aims to test the hypothesis that eccentric force production does not correlate with muscle contractility measured by TMG. Twenty-three physical active males (26.09±3.25 years) performed maximal eccentric hamstring contractions at 210 °/s on an isokinetic dynamometer. Additionally, TMG measurements were conducted on the biceps femoris. Contraction time, delay time, maximal deformation and contraction velocity were derived and investigated. Spearman correlations between the TMG parameters and maximum torque, rate of torque development (RTD) and time to peak torque were calculated. Furthermore, Kruskal Wallis test was calculated for the TMG parameters between the top and bottom participants according to RTD. The correlation analysis showed no significant relationships between the TMG parameters and eccentric force production (P>0.05 for all comparisons). For the comparison between the high RTD group and the low RTD group, no significant differences in muscle contractility could be observed. The results of the present study suggest that muscle contractile properties play a minor role in eccentric force production. Therefore, TMG measures seem not to be suitable to investigate eccentric behavior.

A Study to Assess the Perceived Image of Nursing Profession and Influencing Factors among B.sc Nursing Students of Kamrup (Metro), Assam

Student nurses are the future of our nursing profession. If we mold them in a good way and educate them regarding all the aspect of nursing profession it will help to uplift our profession and it will also help the upcoming nurse to adopt a positive attitude regarding their profession. The objectives of the study is to to assess the perceived image of nursing profession among B.Sc Nursing student of Kamrup (Metro) Assam.To identify the influencing factors for enrollment to nursing programme at selected nursing colleges of KAMRUP (Metro), Assam.To find out association between perceived image of B.Sc nursing profession and selected demographic variables.To identify correlation between perceived images of B.Sc nursing students and influencing factors for enrollment in nursing program of KAMRUP (Metro), Assam. The research approach and design adopted for this study was quantitative research approach and descriptive research design. Convenience sampling technique was used to select two nursing colleges from Kamrup (Metro), Assam and to collect data from 80 students from selected nursing colleges of Kamrup (Metro), Assam. The data collection instruments consisted of three sections which were: Part I included questions related to socio demographic Performa, Part II included Self structured 5 point rating scale will be used to assess perceived image related to nursing profession. Part III included Self structured 5 point rating scale to assess the Factors influencing the nursing image as a profession among nursing students. . The data findings shows that majority of the participants 61(76.2%) are belonged to the age group of 22-23 years .Regarding gender that female 61(76.2%) are more enrolling into nursing profession than male 19(23.8%).Regarding Religion majority are from Hindu religion 31(38.8%) and from Muslim religion 27(33.8%) and from Christian religion 22(27.4%).Majority 67(83.8%) of participants reasons for enrolling into nursing profession were desire to serve humanity and 13(16.2%) of participants for were Availability of work. Regarding parents income maximum 49(61.3%) of participants parents source of income were father, 21(26.2%) of participants parents source of income were mother and 10(12.5%) of participants parents source of income were both father and mother. Majority 42(52.6%) of participants monthly income of family were 40000-60000, 33(41.2%) of participants were 20000-40000, and 5(6.2%) of participants monthly income of family were 60000-80000.Maximum 54(67.5%) of participants had no known person who is in nursing profession and 26(32.5%) of participants had known person who is in nursing profession. 11( 13.8%) of participants family members were in nursing profession, 10(12.5%) of participants relatives were in nursing profession and 5(67.2%) of participants friends were in nursing profession. Majority 45(56.2%) of participants were residing in rural area and 35(43.8%) of participants were residing in urban area. The overall perceived image score shows that the 50(62.5%) have positive perceived image regarding nursing profession and 30(37.5%) has uncertain perceived image and there is no negative perceived image of nursing profession among B.Sc nursing 4th year student of selected colleges. The influencing factors score revealed that majority 48(60%) of participants had moderately influencing factors and 32(40%) of participants had greatly influencing factors for enrollment to nursing program among B.Sc Nursing student. The association between perceived image of B.Sc nursing profession among B.Sc Nursing student and selected demographic variables which was tested by using chi-square test. The chi square values showed that age, gender, religion and monthly income of the family were found statistically significant association at p&lt;0.05 level with perceived image of B.Sc nursing profession. The correlation between perceived images of B.Sc nursing students and influencing factors for enrollment in nursing program among B.Sc Nursing student which was tested by using spearman brown correlation with obtained (r=0.854, p=0.001) indicates good positive correlation between perceived images of B.Sc nursing students and influencing factors for enrollment in nursing program among B.Sc Nursing student was found to be statistically significant at p&lt;0.05 level of significance.

Investigating English Majors’ Online Learning Anxiety and Its Influencing Factors

Anxiety in second language acquisition refers to the tension or unease that students experience while learning a foreign language. Despite extensive research on anxiety in second language acquisition, little has been done to explore online learning anxiety. This study aimed to examine Chinese English majors&amp;rsquo; anxiety and its influencing factors in online learning from the control-value theory perspective. Through a utilization of questionnaires and semi-structured interviews, this study found: (1) Chinese English majors exhibited a moderate level of online learning anxiety, with gender and academic year level exerting no significant influence on anxiety levels; (2) Multiple influencing factors, involving the individual learners, their teachers and peers as well as the learning environment, contributed to Chinese English majors&amp;rsquo; online learning anxiety. It is suggested that teachers prioritize increasing communication and interaction with students in online teaching to alleviate the anxiety, boost the learning effect and promote the physical and mental well-being of the students.

Statistical Modelling of Traffic Noise Using Smart PLS-SEM In Urban Roads

The objectives of this study are to assess the traffic noise levels in Shah Alam, Selangor, Malaysia, and to propose traffic noise model among influential factors. Five factors and 20 attributes were measured at three locations using a sound level meter and analyzed using the PLS-SEM approach. The results of this study showed that high traffic noise levels on urban roads exceeded the maximum permissible limit of 60 dBA during the day, according to Malaysian guidelines. However, the integrated traffic noise prediction model approach has specific indirect effects: built environment -&gt; climate conditions -&gt; traffic flow.

성인학습자의 대학 교육 만족도가 삶의 변화에 미치는 영향

The purpose of this study was to empirically analyze whether the educational satisfaction of adult learners participating in adult learning degree programs in Korean universities affects life changes as a learning outcome. To this end, data from 170 adult learners enrolled in universities in Seoul, Gyeonggi, and Chungnam from September to October 2024 were used, and regression analysis was conducted as a research method. The results of the study showed that, first, adult learners' educational satisfaction with university degree programs was relatively high with an average of 4.09 points (standard deviation .477). Second, educational satisfaction was found to be an influential factor in affecting life changes as a learning outcome, with the effects being in the terms of social life changes, physical domain changes, family life changes, and career and employment changes. Based on these findings, suggestions were made to expand customized university education programs for adult learners, establish a flexible learning environment for adult learners in universities, provide learning counseling and active feedback from faculty,and strengthen career-related education programs., It is also recommended to introduce an objective and fair evaluation system for adult learners’ academic achievements, so that educational satisfaction can be directly linked to learning outcomes.

온라인 수업을 경험한 간호대학생의 학습몰입과 문제해결능력이 학업성취도에 미치는 영향

This study was conducted to determine the impact of learning immersion and problem-solving ability of nursing students who experienced online classes on academic achievement and to provide basic data for nursing education. Data collection for this study was conducted from April to May 2023 on 156 third and fourth-year nursing students from five universities in City B. The collected data were analyzed using the SPSS 26.0. As a result, there was a significant correlation between learning flow and problem-solving ability, and between learning flow and academic achievement, and problem-solving ability showed a significant correlation with academic achievement. In this study, factors influencing academic achievement include Among the satisfaction with college life, the satisfaction level was ‘satisfaction (β=-.232, p=.014)', ‘average (β=-.409, p&lt;.001)’, ‘dissatisfied (β=-1.268, p&lt;.001)’, and among the online class problems, ‘decreased concentration in class (β=-.236, p=.014)’ and problem-solving ability (β=.303, p&lt;.001) were influential factors. Therefore, it is necessary to develop various curricula and programs to equip nursing students with problem-solving skills, provide them with a successful direction for academic achievement, and ensure a smooth college life.

The identification and correction of pseudohypercalcemia

BackgroundWe found that a subset of patients with monoclonal gammopathy exhibited hypercalcemia without apparent causes or clinical manifestations In a cohort of 289 monoclonal gammopathy patients, 2.4% presented with such atypical hypercalcemia, with one notable case exhibiting normal ionized calcium levels, suggesting the presence of pseudohypercalcemia.ObjectiveThe aim of this study is to elucidate the factors contributing to pseudohypercalcemia in monoclonal gammopathy and to develop a novel globulin-corrected calcium formula for clinical application.MethodsThis observational study enrolled 110 monoclonal gammopathy patients from our center. An additional 33 patients were recruited to validate the newly proposed formula. Univariate analysis identified potential risk factors. And multivariate logistic regression identified definitive influential factors. The determined influential factors were utilized to develop a formula by multiple linear regression, which was validated by a paired t-test and the Youden index.ResultsThis study found that globulin was a risk factor for pseudohypercalcemia. It revealed that pseudohypercalcemia should be considered in patients with globulin levels ≥61 g/L (P=0.014). Both albumin and globulin were confirmed as independent factors associated with bound calcium. Given that, we developed a formula to correct ionized calcium levels, which was consistent with ionized calcium tested by blood gas analysis. The diagnostic accuracy of the new formula (Youden index is 0.906) is better than the traditional formula (Youden index is 0.906). Interestingly, all monoclonal immunoglobulin types, except for light chains, showed an equal propensity to develop pseudohypercalcemia (P=0.306). It also showed a linear correlation between IgA, IgG, and IgM and bound calcium.ConclusionThis study confirmed that elevated globulin affects serum total calcium and offered the threshold of globulin ≥ 61 g/L in the differential diagnosis of peudohypercalcemia from hypercalcemia. The new formula based on albumin and globulin was developed, which was verified to be better than the traditional formula for correctly diagnosing hypercalcemia. In addition, we found that neither light chains nor heavy chains of monoclonal immunoglobulin alone can result in pseudohypercalcemia.

Impacting Elements of Metaverse Platforms’ Intentional Use in Cultural Education: Empirical Data Drawn from UTAUT, TTF, and Flow Theory

This study aims to address the need for design guidelines in developing a cultural-heritage-based metaverse educational system. Using the UTAUT, the TTF model, and Flow Theory, a theoretical framework is constructed. Through qualitative research based on the GT, three user perception factors—presence, interactivity, and narrativity—are introduced as external variables to explore the relationship between these factors and users’ willingness to adopt the cultural heritage metaverse system. The study examines this relationship from the dual perspectives of user perception and technology acceptance. A scale was designed to test the theoretical model empirically, and 298 valid responses were collected through a structured process involving GT coding, pre-testing, and formal surveys. The findings indicate that interactivity, narrativity, and presence significantly enhance the flow experience, while factors such as performance expectancy, effort expectancy, social influence, facilitating conditions, technology–task fit, and flow positively influence users’ intention to adopt the system. Among these, technology–task fit emerged as the most influential factor. This integrated approach reduces subjectivity and bias in criteria determination, enhancing the objectivity and precision of cultural heritage metaverse system assessments and making the system more responsive to user needs.

A New Method for Predicting Dynamic Pile Head Stiffness Considering Pile–Soil Relative Stiffness Under Long-Term Cyclic Loading Conditions

Under long-term horizontal cyclic loading, the evolution characteristics of the loading and unloading stiffness of piles are an important representation of pile–soil interaction. However, research in this area is limited, particularly regarding the impact of factors like pile–soil relative stiffness. In this study, laboratory tests with a long-term horizontal cyclic loading strategy were conducted to study various factors, including different cyclic amplitude ratios (ζb), cyclic load ratios (ζc), and pile–soil relative stiffness (T/L) in sandy soil, on dynamic pile head stiffness. The results show that the normalized cumulative displacement increases with the number of cycles and the ratio of T/L but tends to decrease as ζc increases. As ζb increases, the normalized cyclic loading stiffness also rises, while it has little effect on the normalized cyclic unloading stiffness. On the other hand, as ζc or T/L increases, the cyclic loading stiffness increases while the unloading stiffness decreases. Based on these observations, prediction formulas for normalized cumulative displacement and cyclic loading and unloading stiffness were established and confirmed with test results. The findings of this study provide methodological references for establishing models of pile–soil interaction under cyclic loading and for predicting loading and unloading stiffness under different influencing factors.

THE ROLE OF TRADITIONAL FARMER MANAGEMENT ON THE PERFORMANCE OF PRIVATELY OWNED FORESTS: CASE STUDY IN CIAMIS REGENCY, WEST JAVA, INDONESIA

Privately owned forests (POF) play an important role in Indonesia’s social, economic, and environmental spheres. The success of optimizing their roles relies on the traditional management practices carried out by farmers. Therefore, this study aimed to explore POF traditional management by farmers, POF performance, and their influencing factors. Respondents included 170 farmers selected by simple random sampling and key informant. This study was conducted in three villages across Ciamis Regency, West Java, in 2022. Data was collected through structured questionnaires, in-depth interviews, and field observations. The collected data was tabulated, graphic, categorized, and descriptively analyzed. The results showed that although the knowledge about POF management was constantly developing, not all farmers applied their knowledge. POF management practices were found to be closely related to marital status, farming experience, land area, distance from home, number of parcels, and income. Furthermore, traditional management practices were reflected in POF performance; the higher the management level, the better the performance, and vice versa. Equitability and efficiency were high across all locations; productivity was low, while sustainability was only high in Kalijaya Village. The different conditions of each element of POF, show that although POF might not be optimal in terms of economic contribution, its sustainability provides environmental benefits. This study has many limitations as it only looks at factors within POF farmers that influence POF management and performance. Further research into external factors that can influence POF performance and encourage an increased economic role for POFs can be explored in more depth

The Environmental Niche of the Light Purse Seine Fleet in the Northwest Pacific Ocean Based on Automatic Identification System Data

Ecosystem-based fisheries management requires high-precision fisheries information to provide relevant data for natural resource management, assessment, and marine spatial planning. This study utilizes Automatic Identification System (AIS) data from light purse seine vessels from the Chinese mainland that were collected from May to November between 2020 and 2022, along with the corresponding environmental data. By applying boosted regression trees (BRTs) and generalized additive models (GAMs), this study establishes nonlinear relationships between fishing intensity and predictor variables and explores the ecological and environmental drivers behind the spatial distribution of light purse seine vessels from the Chinese mainland in the Northwest Pacific. This research identifies the key influencing factors and reveals significant seasonal preferences for different marine environments in various months, with chlorophyll-a being the primary influencing factor. The predicted fishing effort closely resembles observed data, providing valuable information to support fisheries resource management and planning.

Influences of Digital Literacy and Moral Sensitivity on Artificial Intelligence Ethics Awareness Among Nursing Students

Background: As artificial intelligence technology has developed, research on the application of AI in the medical field has increased, and there is a high likelihood that the use of AI technology will expand in nursing education and practice in the future. However, ethical issues arise when utilizing AI, necessitating a high level of ethical awareness before its application. Objectives: This study aimed to identify factors in artificial intelligence ethics awareness among nursing students. Methods: Participants were 140 nursing students attending universities in G City and J Province in South Korea. Data were collected using a self-administered questionnaire from 26 August to 6 September 2024. Factors in artificial intelligence ethics awareness were analyzed by multiple regression analysis. Results: Nursing students’ artificial intelligence ethics awareness is significantly correlated with digital literacy (r = 0.30, p &lt; 0.001) and moral sensitivity (r = 27, p &lt; 0.001). The influencing factor in artificial intelligence ethics awareness among nursing students was moral sensitivity (β = 0.23, p = 0.042). The explanation power of these variables was 14.0% (F = 46.78, p &lt; 0.001). Conclusions: There is a need to provide education and training programs that can improve moral sensitivity to foster artificial intelligence ethics awareness.

The 24-hour molecular landscape after exercise in humans reveals MYC is sufficient for muscle growth.

A detailed understanding of molecular responses to a hypertrophic stimulus in skeletal muscle leads to therapeutic advances aimed at promoting muscle mass. To decode the molecular factors regulating skeletal muscle mass, we utilized a 24-h time course of human muscle biopsies after a bout of resistance exercise. Our findings indicate: (1) the DNA methylome response at 30 min corresponds to upregulated genes at 3 h, (2) a burst of translation- and transcription-initiation factor-coding transcripts occurs between 3 and 8 h, (3) changes to global protein-coding gene expression peaks at 8 h, (4) ribosome-related genes dominate the mRNA landscape between 8 and 24 h, (5) methylation-regulated MYC is a highly influential transcription factor throughout recovery. To test whether MYC is sufficient for hypertrophy, we periodically pulse MYC in skeletal muscle over 4 weeks. Transient MYC increases muscle mass and fiber size in the soleus of adult mice. We present a temporally resolved resource for understanding molecular adaptations to resistance exercise in muscle ( http://data.myoanalytics.com ) and suggest that controlled MYC doses influencethe exercise-related hypertrophic transcriptional landscape.

Influential academic factors in the integration of ICT in higher education after the COVID-19 pandemic

The emergence of the COVID-19 pandemic led to the need to move educational processes to virtual environments and increase the use of digital tools for different teaching uses. This led to a change in the habits of using information and communication technologies (ICT), especially in higher education. This work analyzes the impact of the COVID-19 pandemic on the frequency of use of different ICT tools in a sample of 950 Latin American university professors while focusing on the area of knowledge of the participating professors. To this end, a validated questionnaire has been used, the responses of which have been statistically analyzed. As a result, it has been proven that participants give high ratings to ICT but show insufficient digital competences for its use. The use of ICT tools has increased in all areas after the pandemic but in a diverse way. Differences have been identified in the areas of knowledge regarding the use of ICT for different uses before the pandemic. In this sense, the results suggest that Humanities professors are the ones who least use ICT for didactic purposes. On the other hand, after the pandemic, the use of ICT for communication purposes has been homogenized among the different knowledge areas.

Market Acceptance Strategy through Customer Centricity Approach in Electric Truck Product Development with Systematic Method Literature Review

Transportation is one of the contributors to CO2 pollutants that cause Greenhouse Gas (GHG) emissions, ultimately impacting global climate change. The creation of electric vehicles is concerned with clean energy and handling global climate change. This aligns with the 17 global goals of the United Nations, which are the world agenda to protect planet Earth and for everyone to live a decent life by 2030. However, creating innovations in production and transforming consumers to switch from fuel vehicles to electric vehicles, especially electric trucks, is equally difficult. In 2022, based on data from Vehicle Type Approval, electric truck sales in Indonesia have the lowest number compared to other types of electric vehicles. This study aims to discover how innovation should be carried out and how consumer desires can be fulfilled from these innovations so that the market easily accepts electric truck products with the hope that interest and sales can increase. This study uses a literature study method that provides an overview of how the customer-centricity approach is applied to support innovation during production. The results of this study provide suggestions in the development of electric trucks that companies should not only focus on technology but also focus on consumer needs to adopt electric truck technology such as cost and economic benefits, charging infrastructure available in various locations, government support and policies, social influence, economic and social factors, promotion policies and regional support.

Investigating Brand Awareness, Brand Image, and Perceived Quality on Customer Loyalty

This study investigates the impact of brand awareness, brand image, and perceived quality on customer loyalty, with a focus on Telkomsel users within the Creative Business program at Universitas Indonesia. Employing a quantitative research methodology, data were collected from 50 respondents using a structured questionnaire and analyzed using SPSS 26. The findings reveal that all three factors—brand awareness, brand image, and perceived quality—positively influence customer satisfaction, which in turn significantly enhances customer loyalty. Specifically, perceived quality emerged as the most influential factor driving customer satisfaction, followed by brand image and brand awareness. The study underscores the critical role of perceived quality in fostering customer loyalty, suggesting that Telkomsel’s success in retaining customers is largely attributed to its high service standards. This research contributes to the literature on brand management in the telecommunications sector and offers practical insights for enhancing customer loyalty through strategic improvements in brand perception and service quality.