Number Of Samples Research Articles

Did Covid-19 Pandemic Raised Tax Incomes in Bad Economic Situations?

The fact that COVID-19 pandemic affected economic situation is known widely, but many companies actually can use ratios for measuring financial situation. If we look deeper, financial ratios can give actual fact about the financial performance periodically. The aim of this research is to find out whether liquidity ratios, Solvability ratios, activity ratios, profitability ratios, and tax ratios have an effect on financial performance. This research was conducted on companies listed on the Indonesia Stock Exchange in 2019 - 2023 with a sample of 117 companies for five years. Thus, the number of samples used in this research was 585. The independent variables in this research were liquidity ratios, Solvability ratios, activity ratios, profitability ratios, and tax ratios, while the dependent variable was financial performance. The data analysis method uses the difference test analyze method with SPSS version 26 software. The results of different tests for liquidity ratios show that there is no significant difference between the years before the COVID-19 pandemic, during the COVID-19 pandemic and after the COVID-19 pandemic. The results of different tests for the Solvability ratios, activity ratios, profitability ratios, and tax ratios showed that there was no significant difference between the years before the COVID-19 pandemic, during the COVID-19 pandemic and after the COVID-19 pandemic.

A SYSTEMATIC ANALYSIS OF AUTEUR THEORY IN CINEMA IN GRADUATE THESES IN TURKEY

Bibliometric analysis is a method that examines the numerical data and characteristics of publications, articles, theses or other academic sources within a particular subject, field or discipline. In this study, bibliometric analysis is used to reveal the current view of graduate theses in the Department of Radio, Television and Cinema in the YÖK Thesis Center, which are examined with auteur theory as a method, to identify gaps in the literature and to help future studies by providing reports. For this purpose, the researchers systematically searched the YÖK Thesis database at the end of December 2023 using the key terms ‘auteur’, ‘auteur theory/theory’. As a result of the search, a total of 252 graduate thesis studies were accessed. Two limitations were imposed on the thesis studies accessed: The theses must have been written in the Department of Radio, Television and Cinema and the theses must have been analyzed with auteur theory as a method. As a result of the limitation imposed on 252 thesis studies, the studies that were not included in the limitation were excluded and the number of samples was reduced to 48 studies. It was observed that the first thesis study on auteur theory was conducted in 2002. In this context, the limitation of the study was determined as the years 2002-2023. Based on the information provided, this study uses bibliometric analysis to analyze, interpret and report the distribution of theses on auteur theory between 2002 and 2023, their distribution by years, their distribution by universities, the distribution of the language in which the theses were written, the gender distribution of thesis authors, the distribution of thesis advisors, the directors examined within the framework of auteur theory and the country cinema distribution of the directors.

Remote and Proximal Sensors Data Fusion: Digital Twins in Irrigation Management Zoning.

The scientific field of precision agriculture employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impact. However, obtaining a high number of soil samples is challenging in order to make precision agriculture viable. There is a trade-off between the amount of data needed and the time and resources spent to obtain these data compared to the accuracy of the maps produced with more or fewer points. In the present study, the research was based on an exhaustive dataset of apparent electrical conductivity (aEC) containing 3906 points distributed along 26 transects with spacing between each of up to 40 m, measured by the proximal soil sensor EM38-MK2, for a grain-producing area of 72 ha in São Paulo, Brazil. A second sparse dataset was simulated, showing only four transects with a 400 m distance and, in the end, only 162 aEC points. The aEC map via ordinary kriging (OK) from the grid with 26 transects was considered the reference, and two other mapping approaches were used to map aEC via sparse grid: kriging with external drift (KED) and geographically weighted regression (GWR). These last two methods allow the increment of auxiliary variables, such as those obtained by remote sensors that present spatial resolution compatible with the pivot scale, such as data from the Landsat-8, Aster, and Sentinel-2 satellites, as well as ten terrain covariates derived from the Alos Palsar digital elevation model. The KED method, when used with the sparse dataset, showed a relatively good fit to the aEC data (R2 = 0.78), with moderate prediction accuracy (MAE = 1.26, RMSE = 1.62) and reasonable predictability (RPD = 1.76), outperforming the GWR method, which had the weakest performance (R2 = 0.57, MAE = 1.78, RMSE = 2.30, RPD = 0.81). The reference aEC map using the exhaustive dataset and OK showed the highest accuracy with an R2 of 0.97, no systematic bias (ME = 0), and excellent precision (RMSE = 0.56, RPD = 5.86). Management zones (MZs) derived from these maps were validated using soil texture data from clay samples measured at 0-10 cm depth in a grid of 72 points. The KED method demonstrated the highest potential for accurately defining MZs for irrigation, producing a map that closely resembled the reference MZ map, thereby providing reliable guidance for irrigation management.

Rapid Detection of Aflatoxins in Ground Maize Using Near Infrared Spectroscopy.

Aflatoxins are carcinogenic mycotoxins that may contaminate many crops and more especially maize. To protect consumers from these contaminants, many countries set up low regulatory thresholds of few µg/kg. The control of food requires time-consuming analysis for which sampling is a key step. It would therefore of key sanitary and economic relevance to develop rapid, sensitive and accurate methods that could even be applied on line at harvest, to identify batches to be excluded as soon as possible. In this study, we analyzed more than 500 maize samples taken at harvest during 3 years for their aflatoxin contamination using HPLC-MS. Among them, only 7% were contaminated but sometimes at levels largely exceeding European regulations. We demonstrate that Near InfraRed Spectroscopy (NIRS) could be of great help to classify cereal samples according to their level of aflatoxin contamination (below or higher than E.U. regulation). To build the model, all AF contaminated samples as well as an equivalent number of AF free samples were used. NIRS performance was not sufficient to quantify the toxins with adequate precision. However, its ability to discriminate naturally contaminated maize samples according to their level of contamination with aflatoxins in relation to European regulations using a quadratic PCA-DA model was excellent. Accuracy of the model was 97.4% for aflatoxin B1 and 100% for total aflatoxins.

Molecular epidemiology of brucellosis in Asia: insights from genotyping analyses.

Brucellosis infects humans and animals worldwide but is particularly prevalent in Asia. In many Asian countries, molecular diagnostic tools for accurate molecular diagnostics and molecular epidemiology are lacking. Nonetheless, some countries have conducted in-depth molecular epidemiological studies. The objective of this study was to reveal the genetic relationships, geographic origins, and distributions of Brucella strains across Asia for two primary species, B. abortus and B. melitensis. For this, we systematically searched genotyping data from published studies on the molecular epidemiology of Brucella species for both humans and livestock in Asia. We used data from multilocus sequence typing (MLST), multiple-locus variable-number tandem repeat analysis (MLVA), and whole genome sequencing analysis of Brucella strains. We also analyzed the MLVA genotypes of 129 B. abortus isolates and 242 B. melitensis isolates with known origins in Asia from an online MLVA database using MLVA-11 data in minimum spanning trees and MLVA-16 data in neighbor-joining trees. We found that the B. melitensis East Mediterranean lineage is predominant across the continent, with only a small number of samples from the Africa and Americas lineages, and none from the West Mediterranean lineage. The "abortus C" genotype was the most common group of B. abortus in Asia, with limited genetic variation for this species. Several studies also reported that Near Eastern countries frequently encounter human brucellosis cases of B. abortus from genotypes 42 and 43. Our study highlights the inconsistent collection of genetic data for Brucella species across Asia and a need for more extensive sampling in most countries. Finally, a consistent nomenclature is necessary to define various groupings of strains within a lineage (i.e., clade) so uniform terminology should denote particular genetic groups that are understood by all researchers.

Pengaruh Motivasi Kerja dan Kepemimpinan Transformasional Terhadap Kinerja Pegawai

The aim of this research is to contribute to the literature and conceptual model of the influence of work motivation and transformational leadership on employee performance with job satisfaction as a mediating variable. This type of research is quantitative research with a survey method. The number of samples studied in this study was 115 samples of employees of the DIY Marine and Fisheries Service. Census method, because the entire population is used as a sample, the data collection method used is a questionnaire. The data analysis technique uses Structural Equation Modeling (SEM) with the SmartPLS program. The results of this research show that work motivation and transformational leadership partially have a positive and significant effect on job satisfaction. Work motivation, transformational leadership and job satisfaction partially have a positive and significant effect on employee performance. Job satisfaction is able to mediate the influence of work motivation and transformational leadership on employee performance

Evaluation of a self-monitoring protocol for assessing soot and polycyclic aromatic hydrocarbon exposure among chimney sweeps.

Traditional methods for measuring chemical exposure have challenges in terms of obtaining sufficient data; therefore, improved methods for better assessing occupational exposure are needed. One possible approach to mitigate these challenges is to use self-monitoring methods such as sensors, diaries, or biomarkers. In the present study, a self-monitored method for measuring soot exposure, which included real-time air monitoring, a work diary, and the collection of urine samples, was evaluated. To validate the method, exposure measurements during the workday and diary entries were compared with velocities calculated from GPS tracking and the expected polycyclic aromatic hydrocarbon (PAH) metabolite patterns in urine. The method was applied with chimney sweeps, an occupational group at a high risk of many severe health outcomes and for whom effective control measures for reducing exposure are needed. In the study, 20 chimney sweeps followed a self-monitoring protocol for 8 consecutive workdays. Personal exposure to soot was measured as black carbon (BC) using micro-aethalometers. A diary was used to record the work tasks performed, and urine samples were collected and analysed for PAH metabolites. From the expected 160 full day measurements, 146 (91%) BC measurements and 149 (93%) diaries were collected. From the expected 320 urine samples, 304 (95%) were collected. The tasks noted in the diaries overlapped with information obtained from the GPS tracking of the chimney sweeps, which covered 96% of the measurement time. The PAH metabolites in urine increased during the work week. Factors believed to have positively influenced the sample collection and task documentation were the highly motivated participants and the continuous presence of trained occupational hygiene professionals during the planning of the study and throughout the measurement stage, during which they were available to inform, instruct, and address questions. In conclusion, the self-monitored protocol used in this study with chimney sweeps is a valuable and valid method that can be used to collect larger numbers of samples. This is especially valuable for occupations in which the employees are working independently and the exposure is difficult to monitor with traditional occupational hygiene methods.

Analysis of Public Facilities, Village Funds and Social Infrastructure on Community Welfare in Pematang Serai Village, Langkat Regency

This research is based on the analysis of public facilities, village funds and social infrastructure on the welfare of the community in Pematang Serai village. Pematang Serai village, Langkat Regency is dominated by people who earn a living as fruit and vegetable farmers, but with the location of the village far from the city, there is a need for attention to public facilities for the community, Good management of village funds and infrastructure to be a benchmark for community welfare and household productivity is important for the people who live in the village. This research was conducted in Pematang Serai Village. The thing being studied is the influence between the variables of public facilities, village funds, and social infrastructure, on community welfare and household productivity. The purpose of the research is to find out and analyze the welfare of the community in Cingkes Village, Dolok Silau District by analyzing through public facilities, management and villages for the community and social infrastructure to facilitate daily community activities. The number of samples used was 200 data families collected by distributing questionnaires and data management using SEM (Structural Equation Modeling) using Amos software version 20. Based on the results of the test conducted with a hypothesis test, social infrastructure variables have a significant effect on community productivity. Then the variables of public facilities, village funds and social infrastructure have an insignificant effect on the welfare of the community and the variables of facilities and village funds also have no significant effect on household productivity. In this study, it is hoped that the village government will pay more attention to the things that the community needs in the village.

Анализ эффективности применения биоактивного покрытия для обеспечения качества и биобезопасности мяса птицы при хранении

Abstract. Poultry meat is the most common type of raw meat, in demand among consumers, but at the same time a perishable product. The quality and safety of poultry meat during storage can be ensured by using bioactive film coatings. The scientific novelty of the work lies in the receipt of new scientific data on the effect of a bioactive alginate coating with protein hydrolysate on the performance of broiler chicken breast fillet during storage. The purpose of the research is to establish the effectiveness of a bioactive coating based on sodium alginate with protein hydrolysate as an active component during the storage of poultry meat. Research methods. For samples of broiler chicken breast fillet coated with bioactive alginate films and for a control sample without coating, color characteristics, pH, mass fraction of moisture and weight loss during storage, as well as microbiological indicators (total microbial count, and coliforms) were determined. The studies were carried out using standard generally accepted methods. Results. It has been established that coated meat better retains its appearance and color, the moisture content remains at a fairly high level compared to the initial value, and shrinkage is reduced. It was also found that the alginate coating provides microbiological stability of breast fillet for a longer time compared to the control sample: after 7 days of storage, the total microbial number in the control sample was 1.4 106 CFU/g, which is higher than the permissible level according to the requirements of EAEU TR 051/ 2021, while in alginate coating samples this indicator remained within acceptable values. Thus, film coatings based on sodium alginate with the addition of protein hydrolysate as an active component have the potential to ensure the safety and biosafety of poultry meat during storage.

Feature balanced re-enhanced network with multi-factor margin loss for long-tailed visual recognition

Real-world data often exhibits a long-tailed distribution, where the number of training samples for head classes far exceeds that of tail classes. This class imbalance phenomenon poses significant challenges for training deep neural networks. Existing class-aware loss methods typically focus only on the numerical relationship between class samples, blindly favoring the optimization of tail classes during the process, while neglecting the difficulty of samples and the similarity between the current class and other classes. To this end, relying only on the number relationship can easily lead to over-fitting of tail classes, thereby failing to fully utilize the potential information in the data. Therefore, we propose the Multi-Factor Margin Loss (MFMLoss), which consists of positive margin loss and negative margin loss. MFMLoss comprehensively considers three factors at three levels: overall, class, and sample: (1) quantitative relationships, (2) inter-class similarity relationships, and (3) sample recognition difficulty. The combined consideration of these three factors enables the model to pay more attention to confusing classes and difficult samples during the training process, rather than solely on tail classes, thus achieving optimization from coarse-grained to fine-grained. To further mitigate the negative impact of the imbalance between head and tail classes on feature learning, we design a new network architecture, called F-BREN. F-BREN consists of two components: the feature balancing network and the feature re-enhancement network. The former is trained with negative margin loss, which reduces the recognizability of easy samples. The latter is trained with positive margin loss, using positive margin to give more attention to hard samples, thus balancing the model’s attention to all samples. We conducted extensive experiments on four long-tailed benchmark datasets: CIFAR10-LT, CIFAR100-LT, ImageNet-LT and iNaturalist 2018, comparing the recognition accuracy of our method with eight state-of-the-art methods. The experimental results demonstrate that our proposed method outperforms the eight compared methods.

Endoscopic Ultrasound-Guided Fine Needle Acquisition for Evaluation of Pancreatic Neuroendocrine Tumors: A Meta-Analysis.

The aim of this meta-analysis was to assess the diagnostic performance of EUS-FNA/B in patients with panNETs. We conducted a computerized search of the MEDLINE and Embase databases to identify relevant articles. The primary outcomes involved grading concordance rate, diagnostic rate, and correlation coefficient (Cohen's κ) for FNA/B samples compared with surgical specimens. Secondary outcomes included sample adequacy, mean number of passes, and adverse events. Forty-five studies involving 2978 patients were finally included. The pooled concordance rate between EUS-FNA/B and surgical grading was 0.77 (95% CI: 0.73-0.80; I2=48.2%). A significantly higher level of concordance was observed in G1 subgroup (0.88, 95% CI: 0.84-0.91), whereas the G2 subgroup revealed the lowest level of agreement (0.59, 95% CI: 0.52-0.65; P < 0.001). Pooled diagnostic rate for FNA/B sampling was 0.83 (95% CI: 0.79-0.86; I2=63.3%). In addition, FNB outperformed FNA in terms of sample adequacy (0.93 for FNB vs. 0.81 for FNA; P=0.007) and number of needle passes required (2.53 for FNB vs. 3.32 for FNA; P=0.013). Moreover, the overall level of agreement for grading was moderate (κ=0.59, 95% CI: 0.49-0.68; I2=84.5%). There were a limited number of adverse events that had minor influence on patient outcomes (0.03, 95% CI: 0.02-0.05; I2=19.2%). EUS-FNA/B is a reliable approach for the diagnosis and preoperative grading of panNET, with FNB demonstrating superior performance compared with FNA.

NCLWO: Newton’s cooling law-based weighted oversampling algorithm for imbalanced datasets with feature noise

Imbalanced datasets pose challenges to standard classification algorithms. Although oversampling techniques can balance the number of samples across different classes, the difficulties of imbalanced classification is not solely imbalanced data itself but other factors, such as small disjuncts and overlapping regions, especially in the presence of noise. Traditional oversampling techniques are not effectively address these intricacies. To this end, we propose a novel oversampling method called Newton’s Cooling Law-Based Weighted Oversampling (NCLWO). The proposed method initially calculates the weight of the minority class based on density and closeness factors to identify hard-to-learn samples, assigning them higher heat. Subsequently, Newton’s Cooling Law is applied to each minority class sample by using it as the center and expanding the sampling region outward, gradually decreasing the heat until reaching a balanced state. Finally, majority class samples within the sampling region are translated to eliminate overlapping areas, and a weighted oversampling approach is employed to synthesize informative minority class samples. The experimental study, carried out on a set of benchmark datasets, confirm that the proposed method not only outperforms state-of-the-art oversampling approaches but also shows greater robustness in the presence of feature noise.

Analysis of cell cycle stage, replicated DNA, and chromatin-associated proteins using high-throughput flow cytometry

Abstract Flow cytometry is a versatile tool used for cell sorting, DNA content imaging, and determining various cellular characteristics. With the possibility of high-throughput analyses, it combines convenient labelling techniques to serve rapid, quantitative, and qualitative workflows. The ease of sample preparation and the broad range of applications render flow cytometry a preferred approach for many scientific questions. Yet, we lack practical adaptations to fully harness the quantitative and high-throughput capabilities of most cytometers for many organisms. Here, we present simple and advanced protocols for the analysis of total DNA content, de novo DNA synthesis, and protein association to chromatin in budding yeast and human cells. Upon optimization of experimental conditions and choice of fluorescent dyes, up to four parameters can be measured simultaneously and quantitatively for each cell of a population in a multi-well plate format. Reducing sample numbers, plastic waste, costs per well, and hands-on time without compromising signal quality or single-cell accuracy are the main advantages of the presented protocols. In proof-of-principle experiments, we show that DNA content increase in S-phase correlates with de novo DNA synthesis and can be predicted by the presence of the replicative helicase MCM2-7 on genomic DNA.

Analisis Pengaruh Persepsi Kebermanfaatan, Persepsi Kemudahan dan Persepsi Risiko Terhadap Minat UMKM untuk Bertransaksi Menggunakan Fintech/Financial Technology Sebagai Layanan Pembayaran Digital: Studi pada UMKM Kabupaten Nganjuk

This research is motivated by technological developments which are accelerating rapidly and penetrating various sectors of life. Technological progress has had many positive impacts, one of which is on the economic sector. Starting from limitations in making payments, an innovation was created that made things easier and faster. The aim of this research is to analyze whether perceived usefulness, perceived convenience and perceived risk partially and simultaneously UMKM influence interest in making transactions using Fintech/Financial Technology as a digital payment service. This research uses a quantitative approach with the causality method. In this research, the population of UMKM taken was operating in the culinary sector who were registered with the Nganjuk Regency Cooperatives and Micro Enterprises Service, totaling 544 UMKM. The sampling technique used a purposive sampling technique using the Slovin formula and the number of samples used in the research was 85 respondents obtained by distributing questionnaires/google forms. The tests carried out in this research used SPSS version 25 with multiple linear regression analysis methods. The conclusion of this research shows that perceived usefulness, perceived convenience and perceived risk partially and simultaneously have a significant influence on UMKM interest in using fintech as a digital payment service.

Pengaruh Kepemimpinan Transformasional terhadap Kinerja Karyawan dengan Kepuasan Kerja dan Organizational Citizenship Behavior sebagai Variabel Mediasi

Correct and good management of human resources (HR) will get employees who have high skills and are reliable, so that the performance of the company's employees will be better and can achieve company goals optimally. This research aims to analyze the influence of transformational leadership, job satisfaction, and organizational citizenship behavior. The number of samples used was 237 respondents in BPD Bali Province. The data analysis technique was carried out using Path Analysis (SEM PLS). The results of the research prove that transformational leadership has a positive and significant influence on employee performance, job satisfaction does not have a significant positive influence on employee performance, job satisfaction does not have a significant positive influence on employee performance, job satisfaction does not have a significant positive influence on employee satisfaction, organizational citizenship behavior has a significant positive influence on employee performance, transformational leadership has a significant positive influence on organizational citizenship behavior, the influence of transformational leadership on employee performance is not mediated by job satisfaction and transformational leadership has a positive and significant influence on employee performance which is mediated by the organizational citizenship behavior variable.

HUBUNGAN KEPUASAN PETANI JAGUNG ERHADAP KINERJA PENYULUH PERTANIAN DI DESA MOROME KECAMAAN KONDA KABUPATEN KONAWE SELATAN

The phenomenon of corn farmer satisfaction is still an important indicator for extension workers. In this case, the performance of extension workers is a point that can determine farmer satisfaction based on the problems faced by farmers so that solutions and innovations by extension workers can be delivered with the main objective of farmers' needs. This research aims to determine the satisfaction of corn farmers and the performance of extension workers in Morome Village, Konda District, South Konawe Regency, and to see the relationship. The population in this study were all corn farmers in Morome Village, Konda District. Considering that the population is only 30 Corn Farmers, it is appropriate to take all of them as samples without having to take a certain number of samples (saturated sample method/census). Data collection techniques in this research were observation, interviews and documentation. The instrument used was a questionnaire. Type of quantitative research. The data analysis used to determine the satisfaction of corn farmers and the performance of agricultural instructors is using the class interval formula, while the data analysis used to determine the relationship between corn farmer satisfaction and the performance of agricultural instructors is using the Spearman rank correlation formula. The results of this research show that general farmer satisfaction in Morome Village is in the high category. This can be seen from the aspects of quality, service and value which are in the high category, then the performance of agricultural instructors in Morome Village is generally in the high category too. This can be seen from the aspects of extension planning, implementation of extension, evaluation and reporting which are in the high category. Farmer satisfaction has a positive and very close relationship with the performance of instructors in agricultural extension activities in Morome Village. Where when farmer satisfaction increases, the performance of extension workers also increases and vice versa.

Pengaruh Viral Marketing dan Elektronic Word Of Mouth Terhadap Keputusan Pembelian pada UMKM Seblak Teh Windy Melalui Followers Tiktok

The internet has been proven to be able to make it easier for someone to get information and facilitate communication between one person and another. The ease of information spreading on the internet is also accompanied by the existence of social media which is used as a promotional medium by business actors, one of which is Seblak Teh Windy. The aim of this research was to find out whether viral marketing and electronic word of mouth have an influence on purchasing decisions for Seblak Teh Windy. This research uses a quantitative approach, descriptive and verification approach. The population studied was based on Tiktok Followers @seblaktehwindy16 in November 2023, which numbered around 553,600 and the number of samples used was 400 respondents. The sampling technique used in the research was non-probability sampling using purposive sampling. The results of this research state that Viral Marketing and Electronic Word of Mouth are related to purchasing decisions. It can be concluded that Viral Marketing and Electronic word of mouth have a significant influence on the decision to purchase Seblak Teh Windy.

Pengaruh Kompetensi dan Independensi Terhadap Efektivitas Audit Internal Serta Dampaknya pada Tata Kelola Pemerintah yang Baik: Studi Pada Inspektorat Kota Gorontalo

This research aims to determine the influence of competency and independence on the effectiveness of internal audit and its impact on good government governance (Study at the Gorontalo City Inspectorate). The type of method used in this research is a quantitative method with data collection techniques using primary data. The number of samples in this research is 56 samples in 2020-2022. The tool used in this research uses Path Analysis.The results of this research show that competence and independence have a positive and significant effect on the effectiveness of internal audit through good government governance.

Computational Methods for Fast Bayesian Model Assessment via Calibrated Posterior p-values

Posterior predictive p-values (ppps) have become popular tools for Bayesian model assessment, being general-purpose and easy to use. However, interpretation can be difficult because their distribution is not uniform under the hypothesis that the model did generate the data. Calibrated ppps (cppps) can be obtained via a bootstrap-like procedure, yet remain unavailable in practice due to high computational cost. This article introduces methods to enable efficient approximation of cppps and their uncertainty for fast model assessment. We first investigate the computational tradeoff between the number of calibration replicates and the number of MCMC samples per replicate. Provided that the MCMC chain from the real data has converged, using short MCMC chains per calibration replicate can save significant computation time compared to naive implementations, without significant loss in accuracy. We propose different variance estimators for the cppp approximation, which can be used to confirm quickly the lack of evidence against model misspecification. As variance estimation uses effective sample sizes of many short MCMC chains, we show these can be approximated well from the real-data MCMC chain. The procedure for cppp is implemented in NIMBLE, a flexible framework for hierarchical modeling that supports many models and discrepancy measures. Supplementary materials for this article are available online.

Pengaruh Digital Marketing, Influencer Marketing Dan Ewom, Terhadap Keputusan Pembelian Viva Cosmetic di Kota Bat

This research investigates how digital marketing, influencer marketing, and ewom influence consumers' decisions to buy Viva Cosmetic in the city of Batam. The population of this study is the Sagulung community in Batam city who use Viva Cosmetic in 2024, but their number is unknown. The number of samples collected using the Jacob Cohen formula reached 204 people who were chosen deliberately. Data quality testing, classical assumption testing, and hypothesis testing are several steps in the data analysis process. The results of multiple linear aggression analysis show that digital marketing influences purchasing decisions by 34.2%. Influencer marketing influences 35.1% of purchasing decisions, and Ewom influences 35.6%. According to coefficient of determination (R2) analysis, digital marketing, influencer marketing, and eWOM can be responsible for 57.6% of the variation in purchasing decisions. The t test and f test show that EWOM, influencer marketing, and digital marketing have a positive and significant influence, both partially and simultaneously, on consumers' decisions to buy Viva cosmetic products in Batam