Variation In Quality Research Articles

Psychometric properties of the Maladjustment Inventory in a Spanish clinical and student sample.

The various systems of diagnosis and classification of mental disorders underline the need to evaluate the interference caused by the different disorders in a person's daily life. The Maladjustment Inventory (MI) evaluates the impairment in the individual's functioning in a brief and self-applied way, through six items. The objective of this research was to explore the psychometric properties of the MI scores through two studies, one with a Spanish clinical sample (Study 1) and another with a Spanish university students' sample (Study 2). The total sample was made up of 928 participants (81.1% women, n = 495 clinical sample). Descriptive analyses, exploration of internal structure and reliability, exploratory and confirmatory factor analyses, relationship with other variables (quality of life, anxiety, depression, neuroticism and extraversion), and percentiles and T-scores were performed. The results showed good psychometric properties of the MI, with a good fit model for one factor solution in both samples, Cronbach's alpha coefficient of 0.84-88, and evidence of validity based on the relationship with other variables. The good psychometric properties of the MI, together with its brevity, make it a recommended instrument for the evaluation of interference in both clinical and research contexts.

Estimating the vertical profile of water quality variables in reservoirs: Application of remotely sensed data and machine learning techniques.

Water quality assessment and management of reservoirs depend on accurate, large-scale, and continuous monitoring of the vertical profile of Water Quality Variables (WQVs). Remote sensing data have been widely used to retrieve high spatiotemporal water quality data; however, their application has practically been limited to evaluating surface WQVs. In this paper, a novel and efficient approach is introduced for assessing the profile of WQVs in reservoirs that depend on stratification, by taking into account the shape of profile as prior knowledge. First, an appropriate function is fitted to the WQVs vertical profile, and second, the parameters of that function as representative of the WQVs vertical profile are estimated using machine learning techniques. The model's inputs are day, maximum depth of point, and remote sensing data. Finally, PAWN sensitivity analysis is applied to show the extent to which each input influences different parts of the vertical profile. This method is applied in the Wadi Dayqah Reservoir, the largest dam in Oman, to evaluate water temperature, dissolved oxygen, pH, and chlorophyll-a profile. The results show that the predicted profiles are properly representative of in situ measurements, with a mean absolute error of 0.28 °C, 0.25 mg/L, 0.052, and 0.33 μg/L on test data sets of water temperature, dissolved oxygen, pH, and chlorophyll-a, respectively. Finally, PAWN sensitivity analysis illustrates that satellite data not only influence the parameters representing surface WQVs but also contribute to the estimation of other curve parameters.

Short-term effects of a research-scale oyster cage aquaculture system on sediment transport, water quality, and seagrass meadow health in Copano Bay, TX, USA

Competing uses for nearshore coastal space, such as aquaculture, have complex environmental and ecological interactions with surrounding seagrass meadows. Oyster aquaculture is among the fastest-growing aquaculture segments in the United States, and it brings concerns such as increased sedimentation from farm maintenance operations and altered water quality through oyster filtration. Changes in seagrass coverage and growth are common indicators of ecological health used to determine anthropogenic impacts on nearshore environments. This study characterized the effects of a research-scale adjustable long-line oyster aquaculture system on the health of adjacent seagrass meadows in Copano Bay, TX. Four Halodule wrightii meadows were identified at various distances from the research site: 100 m upstream (upstream), directly adjacent (0 m), 30 m downstream (30 m), and 60 m downstream (60 m). Sites were monitored for 1) seagrass health, 2) water quality parameters, and 3) sediment deposition. Over the 18-week sampling period, no significant differences (p>0.05) were found for water quality variables or sediment grain-size analysis using a one-way ANOVA. A linear mixed-effects model was used for repeated measures of seagrass data, with no effect of the site found on mean seagrass length, coverage, or maximum length (p>0.05). These results suggest that seagrass health indicators were unaffected by proximity to the oyster system. It was concluded that an oyster research aquaculture system of the type and size at the project location had no major negative or positive impact on seagrass meadow health due to high background variability and the overall minor footprint of the oyster farm across a comparatively large spatial extent.

Learning Languages in the 21st Century: the Digital and Ai Transformation

The article deals with the problem of the learning languages in the 21st century: the digital and AI transformation. The aim of this article is to explore and clarify the transformative impact of digital technologies on foreign language teaching. This article explores the evolution of language learning from classroom-based methods to the incorporation of digital instruments, Artificial Intelligence (AI), and Information and Communication Technologies (ICT). Digital tools such as language learning applications, online dictionaries, multimedia resources, and language exchange platforms have made language acquisition more accessible and engaging. AI technologies introduce intelligent tutoring systems, personalized learning experiences, and advanced language processing capabilities, while ICT tools like Learning Management Systems (LMS) and virtual classrooms facilitate effective communication and information processing. The benefits of these advancements are multifaceted, including increased accessibility and flexibility, enhanced engagement and motivation, personalized learning paths, and improved collaboration and communication. However, challenges such as the digital divide, variability in resource quality, data privacy concerns, and the need for continuous teacher training must be addressed. Looking ahead, future trends such as augmented and virtual reality, blockchain technology, AI-driven content creation, IoT integration, and multimodal learning experiences promise to further transform the landscape of language education. These innovations will pave the way for more immersive and interconnected language learning experiences, contributing to a more multilingual global society.

Statistical Analyses of the Attitude of Interested Parties to Marketing Strategies of Azerbaijan Universities

Purpose: The purpose of this study , which examines the quality of educational services and the attitude of interested parties to the marketing strategies applied to increase this quality, is to determine the satisfaction provided by the quality of educational services defined by revealing the expectations of stakeholders in the position of customers from these educational services during the application of the marketing strategy related to educational services. When studying in the context of the quality of education in Azerbaijan, the main purpose of the study is to study the attitude of stakeholders to the marketing strategies applied in the education sector of our country. Method: Our study is made up of people who are over 16 years old and are studying in Azerbaijan's higher education institutions. The questionnaire method used for data collection will be effective in obtaining direct information from the respondents. The survey process was carried out in a visual form. 409 people participated in the survey. Most of the respondents are between 16-40 years old. In order to avoid any loss of information, it was mandatory to answer all the questions that will be used in the analysis, and for this reason, the mentioned 213 respondents answered all the main necessary survey questions. The data collection process took place from January 8, 2024 to January 28, 2024. The survey consists of 56 questions and is divided into 2 parts: demographic questions and statistical questions. Quantities corresponding to the questions were calculated in SPSS. Results and Discussion: By evaluating the results and impact of marketing strategies in the field of education in Azerbaijan, it can help to create prospects for development in the field of education and cooperation of interested partners in the region. Also, the main goal is to develop and analyze marketing strategies in the field of education in Azerbaijan and to clarify the role and influence of stakeholders in this process. All this can contribute to the development of more effective educational marketing strategies and a better education system. Research Implications: The conducted research and the results obtained through the research have a number of both theoretical and practical significance. So, since the application of marketing strategies in education and the attitudes of interested parties to these strategies - students and consumers - are comprehensively investigated, the results of this research will be more optimal. In this sense, the research carried out was prepared considering the level of satisfaction of the students, the factors affecting the choice of the educational institution, and the quality variables in education as factors affecting the marketing strategies in education.

Selenium Biofortification of Allium Species

Allium species have great potential in the production of functional food via selenium biofortification. This review is devoted to the specificity of Allium plant biofortification with Se, including the genetic peculiarities, effect of the chemical form of the microelement, methods of supply, sulfur and AMF effects, and hormonal regulation. The biosynthesis of methylated Se amino acids and the beneficial effect of Se treatment on secondary metabolite accumulation and plant yield are discussed. Special attention is paid to the production of functional foods based on Allium plants enriched in different ways: bread with leek leaf powder, Allium microgreens and seedlings, and ‘Black garlic’ biofortified with Se. Further focus is provided to the high variability of Allium crop yield and quality under Se supply governed by genetic factors and environmental stresses, and to the need for plant growth technology optimization to obtain the predicted nutritional characteristics of the derived functional product with high anti-carcinogenic activity.

Determinants of Citizen Trust in Public Institutions in Bangladesh

Institutional trust is an essential indicator in the governance mechanism involving citizens’ confidence in public institutions. The article main goal is to shed light on the theoretical insights into the field of trust in public institutions and what determines the degree of citizen trust in public institutions in Bangladesh. Methodologically, the article is a content analysis involving a literature review of vast secondary materials on books, journals, and websites regarding institutional trust which has been used, interpreted, and reinterpreted to validate the arguments. The article presents an analysis that cultural variables have the strongest overall effect on variations in citizens’ trust in public institutions in Bangladesh than institutional or performance variables. Social capital and authoritarianism tend to override the service satisfaction and quality of government variables in determining the trust level in public institutions in Bangladesh.

Water CO2 Emission Monitoring in a Romanian Peri-Urban Wetland to Enhance GHG Reporting

This study emphasises the complexity of carbon dioxide (CO2) emission dynamics by conducting a wetland case study along the Dambovita River. Our evaluation highlights the importance of considering spatial variability, meteorological parameters and water quality parameters. The variations in CO2 emissions have been monitored using two complementary methods: a closed static chamber and a closed dynamic chamber. The closed dynamic chamber method has the highest level of confidence. The statistical results of correlations facilitated the validation of the closed static chamber method and its independent use in wetland ecosystems. Also, our findings revealed distinct patterns in emissions across locations that are influenced by parameters such as pH, redox potential (ORP), chlorophyll, dissolved oxygen concentration (DO), and temperature for the water–atmosphere interface. These results contribute to the understanding of the carbon cycle in wetlands and contribute to the improvement of greenhouse gas (GHG) reporting by obtaining data with a high level of confidence, regarding the role of wetland ecosystems in the carbon cycle.

Associations Between Sleep Health and Child Behavior at Age 6 Years in the INSIGHT Study.

Suboptimal sleep is associated with disruptive behaviors in childhood. We evaluate associations of mean and variability (SD) of sleep duration, quality, and timing with emotion regulation, impulsivity, and prosocial and antisocial behavior in children. Intervention Nurses Start Infants Growing on Healthy Trajectories, a randomized controlled trial designed for obesity prevention, compared a responsive parenting intervention delivered in the first 2.5 years after birth with a home safety control group. At age 6 years, children wore an actigraphy device for 7 days and participated in behavioral tasks evaluating behavioral control, emotion regulation, and prosocial and antisocial behaviors. Separate linear regression models examined associations between sleep and behavioral variables, adjusting for study group, child sex, and household income. Moderation analysis investigated whether the study group moderated relationships between sleep and positive age-appropriate behavior. Children (N = 143, age 6.7 ± 0.3 years) were predominantly non-Hispanic White (95%). Mean actigraphic sleep duration, quality, and timing were not associated with behavioral variables. By contrast, greater variability in sleep onset timing was associated with greater impulsivity (B = 0.85, p = 0.004) and poorer emotion regulation (B = -0.65, p = 0.01). Greater variability in sleep midpoint timing was associated with greater impulsivity (B = 0.80, p = 0.03). The study group moderated the effect of sleep onset variability on behavior; only the home safety control group exhibited a significant negative relationship between variability in sleep onset timing and emotion regulation (B = -1.28, p = 0.0002). Findings support the importance of consistency in sleep timing and how this may play a greater role in children's behavioral and emotional outcomes than mean actigraphic sleep duration and quality.

Analysis of Variability of Water Quality Indicators in the Municipality Water Supply System—A Case Study

This study investigated the variability of water quality indicators in four municipal water distribution systems near a medium-sized city. Despite the proximity of water intakes, water quality in different distribution systems can vary significantly due to local factors such as infrastructure conditions, treatment technology, and specific environmental conditions affecting water in each water supply network. Water samples were collected from multiple points in each system and analyzed for physicochemical properties. The results showed significant differences in total carbon, dissolved organic carbon, and ammonium nitrogen, indicating variability in water quality between systems. These results emphasize the need for integrated management strategies, innovative technologies, and real-time monitoring to maintain water quality. The study also highlights challenges such as aging infrastructure, pollution, and financial constraints in managing water supplies.

Calculating linear and nonlinear multi-ensemble slow collective variables for protein folding.

Traditional molecular dynamics simulation of biomolecules suffers from the conformational sampling problem. It is often difficult to produce enough valid data for post analysis such as free energy calculation and transition path construction. To improve the sampling, one practical solution is putting an adaptive bias potential on some predefined collective variables. The quality of collective variables strongly affects the sampling ability of a molecule in the simulation. In the past, collective variables were built with the sampling data at a constant temperature. This is insufficient because of the same sampling problem. In this work, we apply the standard weighted histogram analysis method to calculate the multi-ensemble averages of pairs of time-lagged features for the construction of both linear and nonlinear slow collective variables. Compared to previous single-ensemble methods, the presented method produces averages with much smaller statistical uncertainties. The generated collective variables help a peptide and a miniprotein fold to their near-native states in a short simulation time period. By using the method, enhanced sampling simulations could be more effective and productive.

Improvement of plan quality in whole-breast radiation following BCS using feasibility DVH by less-experienced planners.

Variability in plan quality of radiotherapy is commonly attributed to the planner's skill rather than technological parameters. While experienced planners can set reasonable parameters before optimization, less experienced planners face challenges. This study aimed to assess the quality of volumetric-modulated arc therapy (VMAT) in patients with left-sided breast cancer following breast-conserving surgery. Twenty-eight patients requiring whole-breast irradiation were randomly selected for inclusion. Each patient underwent two VMAT treatment plans: one optimized by an experienced planner (VMAT-EXP group) and the other designed by a less experienced planner using feasibility dose-volume histogram (FDVH) parameters from PlanIQ (VMAT-FDVH group). Both plans aimed to deliver a prescription dose of 50Gy in 25 fractions to the planning target volume (PTV). Dosimetry parameters for the PTV and organs at risk (OARs) were compared between the two groups. Both the VMAT-EXP and VMAT-FDVH groups met the clinical plan goals for PTV and OARs. VMAT-FDVH demonstrated a PTV coverage and homogeneity comparable to those of VMAT-EXP. Compared to VMAT-EXP plans, VMAT-FDVH plans resulted in a significant reduction in the mean ipsilateral lung dose, with an average decrease of 0.9Gy (8.5Gy vs. 7.6Gy, P < 0.001). The V5Gy and V20Gy of the ipsilateral lung were also reduced by 3.2% and 1.8%, respectively. Minor differences were observed in the heart, contralateral lung, breast, and liver. Personalized objectives derived from the feasibility DVH tool facilitated the generation of acceptable VMAT plans. Less experienced planners achieved lower doses to the ipsilateral lung while maintaining adequate target coverage and homogeneity. These findings suggest the potential for the effective use of VMAT in in patients with left-sided breast cancer following breast-conserving surgery, especially when guided by feasibility DVH parameters.

Effectiveness of Peer-Led Education in Reducing HIV Transmission among Youths in Urban Areas: A Comprehensive Review

HIV transmission among urban youths remains a significant public health concern, driven by factors such as risky sexual behaviors, limited access to healthcare, and high social connectivity. Peer-led education has emerged as a promising intervention to reduce HIV transmission by utilizing the influence of social networks and delivering relatable, accessible information on HIV prevention. This review assessed the effectiveness of peer-led education programs in urban areas by examining their impact on HIV-related knowledge, behavior change, and HIV testing rates. Studies revealed that peer-led education significantly improves HIV knowledge, promotes condom use, and encourages HIV testing among urban youths, contributing to a reduction in high-risk behaviors. Additionally, the social and emotional benefits of peer-led education create supportive environments for discussing sexual health, reducing stigma, and fostering empowerment among participants. However, challenges such as variability in program quality, sociocultural barriers, and sustainability issues limit the long-term success of these interventions. To address these challenges, future strategies should focus on integrating digital health platforms, personalizing peer education, and employing rigorous program evaluation methods. The methodology for this review included a comprehensive analysis of existing literature, including randomized controlled trials, systematic reviews, and observational studies, to provide a holistic understanding of peer-led education’s effectiveness in reducing HIV transmission among urban youths. Keywords: Peer-led education, HIV prevention, Urban youths, Behavioral change, HIV transmission.

Impact of training dairy farm personnel on milking routine compliance, udder health, and milk quality

Among various farm procedures, an appropriate milking routine is crucial for reducing mastitis and enhancing milk safety and quality. However, inadequate compliance with milking routines remains a primary factor contributing to variability of milk quality among herds. Training farm workers is essential for ensuring compliance with milking routines, which directly impacts milk quality and udder health. In this study, we aimed to assess the impact of a training session on dairy farm workers' understanding of the milking routine, behavioral changes during milking, and subsequent effects on milk quality and udder health. Farm workers (n = 112) from 16 commercial dairy farms in Michigan and Ohio participated in the project. The training session was delivered using an active learning approach prioritizing group discussions, and focused on the pathogenesis, identification, and risk factors for mastitis, and the rationale and importance of each step in the milking routine. Pre- and post-training evaluations were conducted to measure changes in knowledge, parlor evaluations were performed to determine behavioral change, and data from clinical mastitis cases and bulk tank somatic cell count were used to estimate udder health and milk quality. Segmented and linear mixed regression analyses were used to assess the impact of the training intervention. Participants were mostly milking technicians (61.1%) with 70% of them having less than 1 year of experience and a median tenure in their jobs of 9 mo. Knowledge of the milking routine increased from 49.3% to 67.6% of correct answers after training. Based on parlor evaluations, the pre-milking disinfectant contact time increased by 9 s per cow. The percentage of milkings with inadequate preparation time decreased from 69% (before training) to 48% (after training). The proportion of insufficient teat coverage during post-milking disinfection decreased from 9.8% (77 out of 782) before training to 5.9% (34 out of 572) after training. There was a significant increase in clinical mastitis cases during the immediate week after the training. Additionally, the upward trend in bulk tank somatic cell count was halted. Our results suggest an improvement in overall mastitis identification and milk quality, underscoring the importance of targeted training programs for farm workers in improving milking routine compliance, enhancing milk quality, and promoting better udder health.

Relationship of season with milk characteristics, yield, and shelf life of cheese in a hot climate

E Objective: the objective of the study was to identify whether there is a relationship between the environmental conditions of high temperature and humidity with the parameters of cheese yield and shelf life of Oaxaca-type cheese, made throughout two different times of the year, delimited by environmental temperature, in the Mexicali Valley, Baja California, Mexico. Design/ Methodology/ Approach: from January to November, ambient temperature and relative humidity, characteristics of the milk used at the time of reception (temperature, acidity, density, somatic cell count and microorganism count), yield, and shelf life of the cheese were recorded. These variables were related to season (summer and winter) and to different Temperature and Humidity Index– THI intervals. An analysis of variance was performed, also, the relationship among sets of variables by Pearson correlation, and the multiple mean difference with the Tukey test (p ≤ 0.05). Results: significant differences were observed in the density, acidity, temperature, somatic cell count and cheese yield of milk due to the effect of the time of year. In addition, an 11% decrease in cheese yield was found as the maximum THI exceeded 77 units. The shelf life showed positive significant difference (p ≤ 0.05) when milk was pasteurized, but it was not affected by the THI. Limitations/ Implications of the study: this study was limited to a single period of analysis; so, it is necessary to monitor, and include additional milk quality variables. Conclusions: heat environmental conditions negatively impact the characteristics of the milk, therefore reducing the yield of Oaxaca-type cheese. The microbiological characteristics are unfavorable during the hot season; the pasteurization of milk is the main factor that increases the shelf life of the cheese.

A temporal convolution network-based just-in-time learning method for industrial quality variable prediction

Real-time acquisition of quality variables is paramount for enhancing control and optimization of industrial processes. Process modeling methods, such as soft sensors, offer a means to predict difficult-to-obtain quality variables using easily measurable process parameters. However, the dynamic nature of industrial processes poses significant challenges to modeling. For instance, conventional models are typically trained offline using historical data, rendering them incapable of adapting to real-time changes in data distribution or environmental conditions. To tackle this challenge, we introduce a novel approach termed the Residual Temporal Attention Temporal Convolution Network (RTA-TCN) and propose a just-in-time learning method based on RTA-TCN for industrial process modeling. The RTA-TCN model incorporates temporal attention into TCN, enabling the integration of previous time-step process variables into the current ones, as well as the fusion of internally relevant features among inputs. Moreover, to prevent the partial loss of original information during feature integration, residual connections are introduced into the temporal attention mechanism. These connections facilitate the retention of original feature information to a maximal extent while integrating relevant features. Consequently, the proposed RTA-TCN demonstrates significant advantages in handling the non-linearity and long-term dynamic dependencies inherent in industrial variables. Additionally, the proposed just-in-time learning method leverages RTA-TCN as a local model and updates it in real-time using online industrial data. This just-in-time learning method enables effective adaptation to varying data distributions and environmental conditions. We validate the performance of our method using two industrial datasets (Debutanizer Column and Sulfur Recovery Unit).

Bacteriology and Physicochemical Analysis of Borehole Water in Some Hostels of a Tertiary Institution in Port Harcourt, Nigeria

Several factors influence the quality of water for human consumption. Most of these factors are more of anthropogenic origin than nature and thus exercises an untold health effect on the end-users of such water body. Bacteriology and Physicochemical Analysis of Borehole Water in Some Hostels of a Tertiary Institution in Port Harcourt, Nigeria. Water samples were collected from six (6) hostels for each study period, and subjected to standard laboratory procedures to analyze for parameters such as pH, nitrite, nitrate, dissolved oxygen (DO), electrical conductivity (EC), Phosphate, as well as standard procedures for antibiotics susceptibility and molecular characterization. Result of the physicochemical parameters showed that the parameters ranged from 5.26±3.53 mg/L to 7.61±0.01 mg/L forpH; 0.61±0.01 to 2.56±0.01 mg/L for Dissolved Oxygen (DO); 96±1.41 μS/cm to 503.5±0.71μS/cm for electrical conductivity; 4.56±0.03 mg/L to 20.3±0.01 mg/L for nitrate; 0.003±0mg/L to 0.03±0mg/L for nitrite; 0.12±0mg/L to 0.17±0mg/L for phosphate. Statistical evaluation showed there was a significant difference (p &lt; 0.05) between the mean values of physicochemical parameters studied, except for pH that recorded no statistical difference (p &gt; 0.05). From the study, 5.6% of Staphylococcus species were resistant to Pefloxacin and Rocephin, while 5.9% of Bacillus species were resistant to Ampiclox. Similarly, 3.33% of Salmonella species were resistant to Augmentin, while the rest of the gram negative isolates were either susceptible or within an intermediate range of susceptibility to the antibiotics tested. Molecular characterization of some bacterial species isolated had pairwise identity with Klebsiella pneumonia strain CP27 and Escherichia coli strain RIZHAO 498.1, Staphylococcus haemolyticus strain SH1. The study has shown that the physicochemical water quality variables were all within the WHO limits, with bacterial species having high percentage susceptibility to the antibiotics tested. Regular water quality monitoring is however recommended to ensure continuous access to water of good quality in hostels within the university community.

PENGARUH KUALITAS PELAYANAN TERHADAP MINAT NASABAH DALAM MENGGUNAKAN MOBILE BANKING DAN INTERNET BANKING (Studi Kasus Pada PT. Bank Central Asia Tbk KCU Pangkalpinang Tahun 2024)

This study seeks to examine the impact of customer interest in utilizing mobile banking and internet banking services from four perspectives: service aspects, customer understanding aspects, target accuracy aspects, and timeliness aspects. The case study is conducted at PT. Bank Central Asia Tbk KCU Pangkalpinang in 2024. The study employs a survey method using a questionnaire as the primary data collection tool. The sample includes 100 customers of BCA Bank KCU Pangkalpinang who utilize mobile banking and internet banking services. Data analysis is performed through multiple linear regression to investigate the relationship between the independent variables (service aspects, customer understanding aspects, target accuracy aspects, and timeliness aspects) and the dependent variable (customer interest in using mobile banking and internet banking). The findings of the study reveal that the service aspect has a partial impact on customer interest in using mobile banking and internet banking. Similarly, the customer understanding aspect, target accuracy aspect, and timeliness aspect each partially influence customer interest in these services. When considered together, the service quality variables—comprising the service aspect, customer understanding aspect, target accuracy aspect, and timeliness aspect—have a positive and significant effect on customer interest in using mobile banking and internet banking.

Analisis Pengaruh Harga, Kualitas Produk Dan Kualitas Layanan Terhadap Kepuasan Konsumen Distro Nimco Di Kota Yogyakarta

This research aims to determine price, product quality, service quality on consumer satisfaction of Nimco Yogyakarta Distro in Yogyakarta City. This research uses a quantitative approach, the sampling method in this research was carried out by accidental sampling which is part of the nonprobability sampling technique. The population in the research is all consumers who have purchased products at the Nimco Yogyakarta Distro. The data analysis techniques used are the classical assumption test, normality test, multicollinearity test, heteroscedasticity test and multiple linear regression analysis. The hypothesis tests used are the F test (simultaneous test), T test (partial statistical test), and coefficient of determination test (R2). From the multiple linear regression analysis, the equation Y= 8.927+ 0.850 X1+ 0.474+455+ e. Simultaneous test results (F) have been carried out, resulting in Fcount being greater than Ftable (2289.776&gt; 3.18). So it can be seen that price, product quality, and service quality have a simultaneous influence on consumer satisfaction of Nimco Distro in Yogyakarta City. And the partial test (T) produces Fcount which is greater than Ftable (X1 = 3.976 &gt; 1.677. X2 = 4.681 &gt; 1.677. Service has a partial influence on consumer satisfaction at Nimco Distro in Yogyakarta City. The results of this coefficient of determination show that the correlation between the independent variable and the dependent variable is R= 825a. This shows that the price and quality variables have a close relationship to consumer satisfaction at Nimco Distro Yogyakarta.

Pengaruh Kualitas dan Harga Terhadap Keputusan Pembelian Mobil Hybrid di Jawa Barat dengan Promosi Sebagai Variabel Intervening

This study aims to determine and analyze the effect of product quality on hybrid car purchasing decisions in West Java. To determine and analyze the effect of price on hybrid car purchasing decisions in West Java. To determine and analyze the effect of promotion on hybrid car purchasing decisions in West Java. To determine and analyze the effect of product quality on purchasing decisions through hybrid car promotions in West Java. To determine and analyze the effect of price on purchasing decisions through hybrid car promotions in West Java. This research method uses quantitative samples used in this study as many as 100 respondents using the purposive sampling technique method, the data analysis technique used in this study is path analysis with the structural model analysis tool used in this study, namely SmartPLS. The results of the research that has been conducted can be concluded that the product quality variable has a significant effect on the promotion of hybrid cars in West Java. The price variable has a significant effect on the promotion of hybrid cars in West Java. The product quality variable has a significant effect on the decision to purchase hybrid cars in West Java. The price variable has a significant effect on the decision to purchase hybrid cars in West Java. The promotion variable has a significant effect on the decision to purchase hybrid cars in West Java. The product quality variable has a significant effect on the decision to purchase through the promotion of hybrid cars in West Java. The price variable has a significant effect on the decision to purchase through the promotion of hybrid cars in West Java.