Number Of Samples Research Articles

The effect of web quality on E-Loyalty through E-Trust and E-Satisfaction on the shopee marketplace

This study aims to prove and analyze web quality on e-loyalty through e-trust and e-satisfaction on the shopee marketplace. The number of samples was 97 Shopee customers using a purposive sampling approach. Data collection techniques are questionnaires with a Likert scale of 1-5 points. Data analysis using Smart PLS. The conclusion of this study is that website quality has a positive and significant effect on e-loyalty, website quality has positive and significant effect on e-trust, the effect of website quality on e-satisfaction is positive and significant, the effect of e-trust on e-loyalty is negative and insignificant, the effect of e-trust on e-satisfaction is positive and significant, the effect of e-satisfaction on e-loyalty is positive and significant, E-trust is insignificant mediate the effect of web quality on e-loyalty, while E-satisfaction is mediate positively and significantly the effect of web quality on e-loyalty.

PENGARUH RISIKO PERUSAHAAN, INTENSITAS ASET TETAP, UKURAN PERUSAHAAN, PERTUMBUHAN PENJUALAN, DAN KOMITE AUDIT TERHADAP TAX AVOIDANCE

This research aims to test whether there is an influence of company risk, fixed asset intensity, company size, sales growth, and audit committee on tax avoidance. The population in this research is property and real estate companies listed on the Indonesia Stock Exchange in 2018 - 2022, totaling 92 companies. The number of samples in this study was 57 samples. The sampling technique uses a purposive sampling method. The research method used is quantitative with data sources in the form of secondary data. The data analysis method uses multiple linear regression analysis with SPSS version 25. The results of this research state that company risk has a negative effect on tax avoidance; fixed asset intensity, company size, and sales growth have no effect on tax avoidance; and the audit committee has a positive effect on tax avoidance

PENGARUH TRANSFER PRICING, UMUR PERUSAHAAN, DAN PERTUMBUHAN PENJUALAN TERHADAP PENGHINDARAN PAJAK

This study aims to provide empirical evidence of the effect of transfer pricing, company age, and sales growth on tax avoidance. The population in this study is consumer non-cyclicals companies in the food and beverage subsector listed on the Indonesia Stock Exchange (IDX) during the 2018-2022 period. The type of research used is an associative quantitative approach using secondary data in the form of annual financial reports obtained from the IDX. This research uses purposive sampling. The number of samples used was 17 companies with 5 years of observation, so that the total sample of this study was 85 data. Data analysis in this study used panel data regression analysis with the help of EViews version 9 software. The results of the study simultaneously show that transfer pricing, company age, and sales growth affect tax avoidance. While the partial research results show that: (1) Transfer pricing has no effect on tax avoidance, (2) Company age affects tax avoidance, and (3) Sales growth has no effect on tax avoidance. This research is expected to provide contribution benefits in the development of theory about the effect of transfer pricing, company age, and sales growth on tax avoidance

Pengaruh Pemberian Air Susu Ibu Eksklusif terhadap Status Gizi Bayi

Exclusive breastfeeding for the first 6 months of life without additional food and drink is important for optimal growth of the baby. Good nutritional status of the baby can be assessed through indicators of weight/length or weight/height based on WHO (World Health Organization) standards. To determine the effect of exclusive breastfeeding on the nutritional status of infants in Mare District, Bone Regency. The type of research conducted was descriptive analytical with a cross-sectional design. The number of samples is 50 babies. Babies who receive exclusive breastfeeding with good nutritional status are 40 babies (100%) and the status of being at risk of overweight nutrition is 0 babies (0%). Then babies who do not receive exclusive breastfeeding with good nutritional status are 9 babies (90%) and the status of being at risk of overweight nutrition is 1 baby (10%). Based on the results of the Chi-Square test, p = 0.043 was obtained, which means p value < 0.05. There is a relationship (correlation) between exclusive breastfeeding and the nutritional status of infants in Mare District, Bone Regency.

Pengaruh Kenyamanan, Harga, dan Kualitas Produk Terhadap Kepuasan Konsumen Berbelanja di Pasar Klewer Surakarta

Klewer market is the largest textile market in the city of Solo. Klewer market is located next to the Surakarta palace. The aim of this research is to analyze the significance of the influence of comfort, price and product quality on consumer satisfaction shopping at the Surakarta Klewer market. This research uses qualitative data and quantitative data. The data source uses primary data. The population in this research is consumers who shop at the Surakarta klewer market, the exact number of which is not known. The number of samples used in this research is 120 people. The sampling technique uses purposive sampling technique. Data collection techniques use questionnaires, literature study and observation. Data analysis uses descriptive analysis, multiple linear regression test, t test, F test and coefficient of determination test. The results of the multiple linear regression analysis in this study were Y = 3,229 + 0,191 X1 + 0,165 X2 + 0,186 X3. The results of the t test show that the variables of comfort, price and product quality have a significant effect on consumer satisfaction shopping at the Klewer market in Surakarta. The results of the F test in this study have a calculated F value of 29.124 with a significance value (p, value) of 0.000 < 0.05, so Ho rejected and Ha accepted, which means the model used is correct to predict the influence of the independent variables (price convenience and product quality) on the dependent variable (consumer satisfaction). The coefficient of determination test result (R²) for this model is 0.415 or 4.15%, which means the influence of comfort, price and product quality on consumer satisfaction while the remaining 58.5% is influenced by other variables outside this research. The results of the research show that Comfort has a significant influence on consumer satisfaction shopping at the Surakarta Klewer market. Price has a significant influence on consumer satisfaction shopping at the Surakarta Klewer market. Product quality has a significant influence on consumer satisfaction shopping at the Surakarta Klewer market.

Circulation and Seasonality of Respiratory Viruses in Hospitalized Patients during Five Consecutive Years (2019-2023) in Perugia, Italy.

The emergence of SARS-CoV-2 and the non-pharmacological interventions adopted to counter its spread appear to have led to changes in the normal circulation and seasonality of respiratory viruses. Our study aims to investigate changes related to the circulation of respiratory viruses, not SARS-CoV-2, among hospitalized patients in Perugia, Central Italy, between 2019 and 2023. The samples were collected from individuals who went to the emergency room (ER) or were hospitalized and analyzed using a molecular multiplex test. The results underline that non-pharmaceutical interventions altered the typical seasonal circulation patterns of different respiratory viruses. Those mostly affected were enveloped viruses like influenza viruses that disappeared in 2021; the least impact was recorded for Rhinovirus, which was detected during the pandemic period, maintaining the same seasonality observed in the pre-pandemic period although with a reduction in the number of positive samples. Our data underline the importance of the continuous monitoring of these viruses, especially to understand the timing with which prevention measures, not only non-pharmacological interventions but also the equipment of vaccine doses and monoclonal antibodies, should be adopted to reduce their circulation, particularly in the population at risk of developing severe forms of lower respiratory tract infection.

Automatic Road Crack Detection Using Convolutional Neural Network Based on Semi-Supervised Learning

Crack detection in pavements is a critical task for infrastructure maintenance, but it often requires extensive manual labeling of training samples, which is both time-consuming and labor-intensive. To address this challenge, this paper proposes a semi-supervised learning approach based on a DenseNet classification model to detect pavement cracks more efficiently. The primary objective is to leverage a small set of labeled samples to improve the model's performance by incorporating a large number of unlabeled samples through semi-supervised learning. This method enhances the DenseNet model's ability to generalize by iteratively learning from new unlabeled datasets. As a result, the proposed approach not only reduces the need for extensive manual labeling but also mitigates issues related to label inconsistency and errors in the original labels. The experimental results demonstrate that the semi-supervised DenseNet model achieves a prediction precision of 96.77% and a recall of 94.17%, with an F1 score of 95.45% and an Intersectidn over Union (IoU) of 91.30%. These metrics highlight the model's high accuracy and effectiveness in crack detection. The proposed method not only improves label quality and model performance but also offers practical value for engineering applications in the field of pavement maintenance, making it a valuable tool for infrastructure management.

Effectiveness of Innovative Ergonomic Models in Preventing Occupational Fatigue in Rice Farmers

Introduction: Ergonomic work hazards are potential hazards that can negatively affect the health of farmers. One of the ergonomic hazards that farmers often experience is fatigue. This study aims to analyze the effectiveness of innovative ergonomic models and the preparation of balanced calorie needs in preventing work fatigue in rice farmers. Methods: The type of research used is a randomized controlled trial (RCT) design, which is the most powerful design to evaluate the intervention used, namely the effectiveness of innovative ergonomic models and the preparation of balanced calorie needs in preventing occupational fatigue in rice farmers. The population in this study were all farmers in Pudak Village, Kumpeh Ulu Subdistrict, Muaro Jambi Regency, totaling 238 people. The number of research samples was 68 farmers has taken using simple random sampling technique. Data were analyzed to determine the effectiveness of innovative ergonomic models using the ANOVA test with (α = 0.05). Result: There was a difference in the effectiveness of innovative ergonomic models in preventing work fatigue between at least two groups of rice farmers. Conclusion: the provision of stretching and snacks coupled with rest periods is most effective in preventing occupational fatigue. As for occupational fatigue, the provision of stretching, snacks, and rest time and the provision of simple education on the hazards of work ergonomics are effective in preventing occupational fatigue in rice farmers.

EEG classification with limited data: A deep clustering approach

In this paper, we propose a novel training strategy designed to prevent deep neural networks from overfitting when trained on a very limited number of samples. This approach enables the use of very deep networks in applications like EEG classification, where data collection is challenging, leading to significant overfitting issues. To address this issue, we introduce a classification network that leverages a deep clustering operation in its latent space. The network utilizes a set of dictionary elements as auxiliary inputs and learns to guide each input sample toward one of the clusters, each derived from a dictionary element. This process facilitates the grouping of samples from the same class within the same region of the latent space, thereby reducing the risk of complex class boundaries and overfitting. Additionally, we introduce two probabilistic models within our clustering approach to mitigate outlier issues and address augmentation challenges commonly encountered with EEG signals. Experimental evaluations on two widely recognized databases, EEG-ImageNet and BCIIV2a, demonstrate the effectiveness and superiority of our method compared to state-of-the-art approaches, achieving 97.9% accuracy on EEG-ImageNet and 84.1% accuracy on BCIIV2a.

Characterization of tuberculosis diagnostics by GeneXpert MTB/Rif in Villa Clara, Cuba

GeneXpert MTB/RIF is a real-time polymerase chain reaction molecular test recommended since 2010 that is able to simultaneously detect the presence of Mycobacterium tuberculosis and Rifampicin resistance within two hours. The aim of the research was to characterize the diagnosis of tuberculosis by GeneXpert MTB/RIF in the Provincial Laboratory of Microbiology and Sanitary Chemistry of the Provincial Centre of Hygiene Epidemiology and Microbiology of Villa Clara, Cuba in the period January 2018-December 2020. A descriptive cross-sectional study was conducted. The study population consisted of 710 samples from patients suspected of tuberculosis. Of the total number of samples studied, 131 (18.5%) were positive; Ciego de Avila and Camagüey were the provinces with the highest percentage of positive results, with 53.8% and 32.0%, respectively. Sputum was the predominant sample type with the highest percentage of positivity (20.7%). The group of those previously treated had the highest percentage of positivity (40.0%). It is concluded that the provinces of Ciego de Avila and Camagüey were the provinces with the highest percentages of positivity, and sputum proved to be the most useful sample for GeneXpert MTB/RIF.

A source free robust domain adaptation approach with pseudo-labels uncertainty estimation for rolling bearing fault diagnosis under limited sample conditions

As essential components of machinery equipment, rolling bearings directly affect the safety of the machinery equipment. The timely diagnosis of bearing faults can effectively prevent equipment lapses. However, bearings are often inconsistently distributed. This has resulted in a significant decrease in their availability. Moreover, the performances of traditional models are poor when fault samples are scarce. The unsupervised domain adaptation (UDA) model based on the transfer learning theory can solve the above problems in static scenarios. However, source domain data are often not directly accessible for privacy protection. Therefore, achieving the robustness of UDA models is significantly challenging. Source-free UDA can achieve a positive transfer from the source domain to the target domain based only on a pretrained source-domain model and unlabeled target-domain data. In this study, we built a source-free robust UDA approach with pseudo-label uncertainty estimation (SFRDA-PLUE) for diagnosing bearing faults using a limited number of samples. First, we designed a robust feature extractor (SANet) and proposed a novel binary soft-constrained information entropy. This was applied to solve the problem that standard information entropy cannot effectively estimate the uncertainty of pseudo-labels. In addition, we constructed a weighted comparison filter strategy to smoothen the fuzzy samples. Finally, we introduced an information-maximizing loss strategy to optimize the performance of the source domain classifier and the pseudo-label estimator. Thus, the robustness of the pseudo-label uncertainty estimation was significantly improved. The experimental results validated that the SFRDA-PLUE approach can achieve excellent diagnostic performance under a limited number of samples.

Factors of Child Growth Failure Based on the Composite Index of Anthropometric Failure in West Sulawesi Province

Background: The composite index of anthropometric failure (CIAF) provides a comprehensive measure of growth failure through various child anthropometric indicators. In regions with a high prevalence of stunting, several factors may contribute to the occurrence of growth failure in children under five years. Objectives: This study aims to analyze the factors influencing the incidence of child growth failure based on the CIAF in a province with high stunting prevalence in Indonesia. Methods: The cross-sectional study used the 2022 Indonesian Nutrition Status Survey (SSGI) data. The sample comprised children aged 0-23 months from West Sulawesi Province, totaling 1,573 children. The number of samples analyzed was 1,327 children, excluding incomplete data and outliers that were values outside a certain range and treated as missing values based on the World Health Organization (WHO). Multivariate analysis was conducted using logistic regression with a complex sample facility. Results: This study found that 24.9% of children experienced growth failure based on the CIAF. Factors associated with the incidence of growth failure based on the CIAF were older age between 12-23 months (OR=4.5; CI=2.36-8.43; p=0.000), birth weight less than 2,500 g (OR=6.85; CI=3.85-12.21; p=0.000), boys (OR=1.56; CI=1.13-2.15; p=0.000), incomplete immunization status (OR=1.8; CI=1.31-2.77; p=0.001), and poor economic status in quintile 1 (OR=2.1; CI=1.08-3.99; p=0.028). Conclusions: The risk factors for child growth failure based on the CIAF included older age, male sex, low birth weight, incomplete immunization status, and low economic status.

PENGARUH E-COMMERCE, LITERASI KEUANGAN, DAN LITERASI DIGITAL TERHADAP PERILAKU KONSUMTIF MAHASISWA

This study aims to examine whether there is an influence of e-commerece, financial literacy, digital literacy on consumtive behaviour. The population in this study were active accounting students of Muhamadiyah University The number of samples in this study were 77 respondents. The sampling technique uses simple random sampling method. The research method used is quantitative with primary data sources. The methode of data analysis uses multiple linear regression analysis with SPSS version 27. The results of this study provide evidence that partially the e-commerce variable has a positive effect on consumptive behavior, while the financial literacy and digital literacy variables have a negative effect on consumptive behavior. Simultaneously e-commerce variables, financial literacy and digital literacy have a significant effect on consumptive behavior

The Influence of Green Marketing Attitude Environment Awareness and Health on Purchasing Decisions for Somethinc Product

This research aims to analyze the influence of green marketing, attitudes, environmental awareness and health on purchasing decisions for certain products. The data source used in this research is primary data obtained using data collection techniques by distributing questionnaires using Google Form. The method in this research uses SEM (Structural Equation Model) with the PLS (Partial Least Square) version 3.0 approach. The number of samples tested was 118 respondents. The sampling technique used purposive sampling. The research results show that attitude, environmental awareness and health have a positive and significant effect on purchasing decisions, but green marketing has no effect on purchasing decisions. The managerial implications that can be given are that companies need to re-evaluate green marketing, increase their focus on understanding consumer attitudes and must continue to increase environmental and health awareness which can help consumers make purchasing decisions.

Development of sandwich test coupons with continuous protective layers for accurate determination of the tensile failure strain of unidirectional carbon fibre reinforced composites

Recently introduced unidirectional (UD) carbon fibre reinforced epoxy (CF/EP) tensile test coupons with continuous protective layers were developed further by comparing three coupon designs with different layer integration techniques. Consistent experimental data was generated with high sample number and low scatter. Thermal residual strains were considered in case of two coupon designs where the layers were integrated at elevated temperature. A curve-fitting-based strength evaluation method is proposed for the sandwich coupons since this parameter cannot be evaluated directly. The sandwich type coupons yielded statistically significant increase in their average failure strain compared to that of the baseline tabbed coupons. In contrast, the three sandwich coupon types did not show significant differences. Therefore, the sandwich coupon type made by bonding cured UD composite layers together at room temperature is proposed for further application as they allow for full delamination at CF/EP layer fracture and do not require thermal strain correction during the evaluation.

Monitoring Soil Copper in Urban Land Using Visibale and Near-Infrared Spectroscopy with Spatially Nearby Samples.

Soil heavy metal contamination in urban land can affect biodiversity, ecosystem functions, and the health of city residents. Visible and near-infrared (Vis-NIR) spectroscopy is fast, inexpensive, non-destructive, and environmentally friendly compared to traditional methods of monitoring soil Cu, a common heavy metal found in urban soils. However, there has been limited research on using spatially nearby samples to build the Cu estimation model. Our study aims to investigate how spatially nearby samples influence the Cu estimation model. In our study, we collected 250 topsoil samples (0-20 cm) from China's third-largest city and analyzed their spectra (350-2500 nm). For each unknown validation sample, we selected its spatially nearby samples to construct the Cu estimation model. The results showed that compared to the traditional method (Rp2 = 0.75, RMSEP = 8.56, RPD = 1.73), incorporating nearby samples greatly improved the model (Rp2 = 0.93, RMSEP = 4.02, RPD = 3.89). As the number of nearby samples increased, the performance of the Cu estimation model followed an inverted U-shaped curve-initially increasing and then declining. The optimal number of nearby samples is 125 (62.5% of the total), and the mean distance between validation and calibration samples is 17 km. Therefore, we conclude that using nearby samples significantly enhances the Cu estimation model. The optimal number of nearby samples should strike a balance, covering a moderate area without there being too few or too many.

Responsi Siswa Terhadap E-Modul Biologi Terintegrasi Nilai-Nilai Imtaq Pada Materi Otot

This study aims to determine students' responses to the Biology E-Module integrated with Imtaq values ​​in the Muscle material that was developed. This study is a development study using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). This study is limited to the development stage. Determination of the sample using purposive sampling techniques, and the number of samples is 30 students from each of 10 schools, namely SMAN 3 Teluk Meranti, SMAN 1 Pelalawan, and SMA PGRI Pekanbaru. Data collection using student response sheets, Data analysis techniques using descriptive techniques. The results of the study obtained an average student response from three schools of 91.55% (very good category).

IMPACT OF IMPLEMENTATION OF METHODS OF COACHING FOR SUCCESS, PARTICIPATIVE, AFFILIATIVE, VISIONARY AND SITUATIONAL (COPAVISIT) AT OPERATIONAL MANAGEMENT OF CELLULAR TELECOMMUNICATIONS COMPANIES IN DIGITAL ERA

The development of the telecommunications industry in Indonesia is determined by the company's ability to manage operational with using methods of coaching for success, participative, affiliative, visionary and situational. The meaning of coaching for success are with treating people as they want to be treated, that is by indirectly giving punishment, participative by taking part in the problems faced by company management, affiliative by maintaining good relationships with employees and company partners, visionary support progress company, situational is done by looking at the condition of the company that is required to be able to implement the marketing industry 4.0. This research method uses a quantitative approach, the type of quantitative descriptive research with the nature of research that is explanatory. The data used are secondary data, namely employees of cellular telecommunication in Area of Regional I of Medan City as many as 800 people. The sampling technique used in this study using the Slovin formula so that the number of samples used in this study was 89 people. Sampling uses a simple random sampling approach. The results obtained in this study are coaching for success methods have a negative and significant influence, participative and affiliative, have a positive and significant influence, while visionary and situational have no influence on the operational management of cellular telecommunications companies in Medan City.

A series of regression models to predict the weathering index of tropical granite rock mass

In the recent past, several weathering indicators have been developed to describe its state of weathering. The state of rock weathering is a useful indicator to estimate the integrity of tropically weathered rock material and mass which weatherability plays an important role in a tropical region. Through a ground assessment tool, the strength and durability of the rock mass could be estimated and complex or adopted to simplify the early prediction of the complex engineering parameter. This paper presents several models of the Weathering Index (WI) using selected significant parameters using statistical analysis. For this purpose, several sites have been chosen to represent granitic rock mass. Forty (40) numbers of samples were collected and tested comprising from four (4) sites in Malaysia. Several laboratory tests have been conducted such as Point Load Index (Is(50)), dry density, Slake Durability 1 (SD1), Slake Durability 2 (SD2) and moisture content. The field and laboratory data sets are used to determine the WI by using simple regression and MLR analysis Significant parameters found to be useful in determining the WI are selected namely SD1, dry density, Is(50), and block volume. These parameters were selected based on stepwise analysis using Statistical Package for the Social Sciences (SPSS). Following the models’ implementation, the models were evaluated and the best prediction model was selected after considering statistical coefficients, such as coefficient of determination (R2), variance account for (VAF), and root mean squared error (RMSE), as well as utilizing a straightforward ranking approach. The findings of this study could contribute to the more accurate prediction of WI using a more simplistic field and laboratory parameters. Therefore, the WI is useful during the initial stages and planning of rock excavation work and provides a good description of weathering grade and rock mass properties, which will affect excavatability in granitic areas.

First identification of Angiostrongylus spp. in Lissachatina fulica and Cornu aspersum in Antioquia, Colombia

Abdominal and neural angiostrongyliasis caused by Angiostrongylus costaricensis and A. cantonensis, respectively, are zoonotic diseases involving snails as intermediate hosts. Colombia has already reported human cases, and the increasing distribution of Lissachatina fulica and Cornu aspersum raises public health concerns due to the potential risk of disease transmission in areas where parasites and hosts coexist. To identify the presence of Angiostrongylus spp. in snail species L. fulica and C. aspersum in Antioquia, Colombia. This prospective cross-sectional study had a population of 5,855 L. fulica and C. aspersum snails captured in the ten towns of the Valle de Aburrá (Antioquia, Colombia), 169 samples were collected in 28 sampling points. Lung tissues of the collected snails were dissected and analyzed to detect Angiostrongylus spp. through molecular techniques. Angiostrongylus spp. were identified in both L. fulica and C. aspersum. Angiostrongylus costaricensis was detected in 18 pooled prevalence of 30% (95% CI = 19.2-43.3), and Medellín was the municipality with the highest number of positive samples (33.3%). Seventy-two-point-two percent of the positive places reported the presence of rodents. None of the tests were positive for A. cantonensis. Our findings provide important insights into the epidemiology and distribution of Angiostrongylus spp. in Antioquia, Colombia. The identification of these parasitic nematodes in L. fulica and C. aspersum highlights the potential role of these snails as intermediate hosts in the transmission of Angiostrongylus spp. infections in the Valle de Aburrá, with implications for human and veterinary health.