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Journal of Applied Data Sciences
Published by Bright Publisher
ISSN : -     EISSN : 27236471     DOI : doi.org/10.47738/jads
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes applied to collect, treat and analyze data will help to render scientific research results reproducible and thus more accountable. The datasets itself should also be accessible to other researchers, so that research publications, dataset descriptions, and the actual datasets can be linked. The journal Data provides a forum to publish methodical papers on processes applied to data collection, treatment and analysis, as well as for data descriptors publishing descriptions of a linked dataset.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 115 Documents
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Structural Equation Modeling on Women’s Perceptions of Halal Cosmetics Based on The Development of TPB Framework Using Religiosity, Social Influence, Knowledge, and Brand Value Meinarini Catur Utami; Elvi Fetrina
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.164

Abstract

Nowadays cosmetics play an important role for women to maintain their beauty. The statistics show that in 2018, there was an increase of 5.5 % in the cosmetics market globally compared to the previous year whereas the skincare product accounted for about 39% of the worldwide market. In Indonesia, it shows quite the same condition and it also shows that the trend of halal cosmetics has a quite big demand with which 58.3% of Indonesian women choose halal cosmetics. This study was continuous research from the previous one conducted by the authors in 2018 to find out whether there was an influence of religiosity on Indonesian Muslim women intentions and behavior in buying Korean cosmetics based on Halal issues. Based on previous research and other similar research, the researchers developed The Theory of Planned Behavioral (TPB) as the model with some additional variables including religiosity, social influence, knowledge, and brand value. In continuation, this paper determined whether women regardless of these variables are interested in halal cosmetics that showed through intention variable in TPB. The model with 7 proposed hypotheses was analyzed by using the Structural Equation Modeling (SEM) method and SmartPLS as a tool. The results based on the 600 women of college students (muslim and non-muslim) in Java showed that 6 hypotheses have significant influence toward the intention to use halal cosmetics.
An Empirical Analysis of Bank Capital Adequacy Ratio in Vietnam: A Data Science Approach Using System Generalized Method of Moments Nguyen Quoc Huy; Lu Phi Nga; Phan Thanh Tam
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.156

Abstract

Commercial banks and the financial industry face considerable hurdles in light of the fourth Covid-19 outbreak. Commercial banks continuously put capital adequacy measures in place to fulfill Basel regulations. One of the main ways they do this is by issuing bonds, which boost tier 2 capital sources. This helps mobilize capital and assure capital safety for the market's borrowing requirements in the long run. As a result, considering both external and internal variables, this research seeks to investigate what influences the capital adequacy ratio of Vietnam's joint-stock commercial banks. Between 2011 and 2022, the authors combed through data from 25 different Vietnamese joint-stock commercial banks. The authors employed the system generalized method of moments model and other conventional techniques for panel data analysis. The authors derived key findings: Fourteen components are statistically significant at the 1% level, affecting the capital adequacy ratio. Therefore, it is evident that the equity capital of Vietnamese commercial banks has successfully met the required safety standards for assets with credit risk as per legislation. As a result, this assists Vietnamese commercial banks in managing potential losses from credit activities, thus assuring the security of banking operations and protecting depositors. However, the issue suggests policy implications for enhancing Vietnamese commercial banks' future capital adequacy ratio coefficient.
Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction Chandra Lukita; Lalu Darmawan Bakti; Umi Rusilowati; Asep Sutarman; Untung Rahardja
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.131

Abstract

This research aims to predict and analyze customer churn using Data Mining and Machine Learning methods. The background of this research is based on the importance of understanding the factors that influence customer decisions to churn, as well as improving the effectiveness of customer retention strategies in a business context. The method used in this research involves the use of a customer bank dataset that includes information about customers who left in the past month, services registered by customers, customer account information, and demographic info about customers. The factors most influential to churn were identified through heatmap analysis, including MonthlyCharges, PaperlessBilling, SeniorCitizen, PaymentMethod, MultipleLines, and PhoneService. This research compares the performance of several machine learning algorithms, including Random Forest, Logistic Regression, Adaboost, and Extreme Gradient Boosting (XGBoost), to predict customer churn. Accuracy metrics and confusion matrix results are used to evaluate the performance of these algorithms. The results showed that XGBoost proved to be the best algorithm in predicting customer churn with high accuracy. The factors that have been correctly identified do not provide missed precision, showing a significant influence on customer churn decisions. The novelty and uniqueness of this research lies in focusing on the factors that have the most influence on customer churn and comparing the performance of machine learning algorithms. This research provides more specific and relevant insights for companies in developing effective customer retention strategies. However, this research has some limitations. One of them is the use of a dataset limited to a customer bank, so the generalizability of the findings of this research may be limited to that business context. In addition, other factors that are not the focus of this research may also contribute to the prediction of customer churn.
Applying Structural Equation Modeling for Accessing Mobile Banking Service Quality and Customer Satisfaction: A Case Study in Vietnam Nguyen Quoc Huy; Lu Phi Nga; Phan Thanh Tam
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.137

Abstract

Mobile Banking allows customers to use mobile devices and smartphones to conduct banking transactions anytime, anywhere. On the other hand, Mobile banking is a service product that brings high business efficiency, does not cost much, creates initiative for users, reduces pressure on over-the-counter transactions and has little risk, so developing developing mobile banking services brings great benefits to banks. Therefore, using scientific and technological achievements, particularly information technology, electronics, and telecommunications, has had a significant impact on daily life, the economy, and society, changing people's awareness and production and business methods in a wide range of fields and industries, including financial-banking services. In order to address the aforementioned analytical concerns, the authors performed a survey of 650 individual consumers who use mobile banking services at ten commercial banks in Vietnam. The authors employed structural equation modeling and data processing tools SPSS 20.0, Amos. Customer satisfaction is influenced by five elements, according to the findings: dependability, responsiveness, empathy, competence, and tangibles. The findings of the article had a significant reliability influence on individual customer satisfaction, with a significance level of sig 0.01. Finally, the study uniqueness validates ideas regarding customer satisfaction and service quality drivers, as well as the need of flexibly implementing customer satisfaction research policies.
Data-Driven Analysis of Teaching Quality Impact on Graduate Employment in Higher Vocational Colleges of Hefei Ning Wang; Tiamyod Pasawano; Thosporn Sangsawang; Matee Pigultong
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.169

Abstract

The objectives were to identify the influence of teaching quality in higher vocational colleges on the employment quality of graduates, and to develop instructional design through both theoretical and empirical analysis, to synthesize the relationships among teaching quality, human capital, and employment quality. In collaboration with 17 experts, they were selected through purposive sampling and involving 100 instructors within higher vocational colleges in China. The instruments using the Delphi Technique through a round questionnaire of vocational colleges' teaching quality positively influenced both graduates' human capital and employment quality. The findings revealed that vocational colleges' teaching quality positively influenced both graduates' human capital and employment quality. Vocational education has a favorable effect on employment quality, with human capital playing a crucial role in enhancing teaching quality. This paper distributed 600 questionnaires in total and collected 527 valid questionnaires, with an effective recovery rate of 87.83%. Data processing and analysis were carried out on the valid questionnaires. However, the relationship between teaching quality and employment quality is mediated by professional cognition and growth ability. These results offer important insights for vocational colleges, pointing to the crucial significance of human capital and educational quality in improving employment quality. In higher vocational colleges, the study investigates the connection between human capital, employment quality, and instructional quality. The teaching quality positively affects graduates' human capital and employment quality, according to data from Hefei grads. The link between teaching and learning is moderated by human capital. The research uses AMOS software to analyze vocational teaching variables, revealing a direct effect of higher colleges' teaching quality on graduates' employment quality and human capital. The significance level of these effects is .001, indicating a strong capacity for explanatory reasoning.

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